Hugging Face's logo

Datasets:
qiangminjie27
/
TabBench

Tasks:
Text Classification
Feature Extraction
Text Retrieval
Modalities:
Tabular
Languages:
English
Size:
1M<n<10M
ArXiv:
Tags:
tabular
embedding
benchmark
contrastive-learning
retrieval
classification
License:
Dataset card Data Studio Files
xet
 Community
2
qiangminjie27 commited on
Commit
2be25af
·
verified ·
1 Parent(s): 3349661

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +178 -0
  2. classification/stats.json +22 -0
  3. classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/metadata.json +29 -0
  4. classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/test.csv +389 -0
  5. classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/test.jsonl +0 -0
  6. classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/train.csv +0 -0
  7. classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/train.jsonl +0 -0
  8. classification/unipredict/abcsds-pokemon/metadata.json +71 -0
  9. classification/unipredict/abcsds-pokemon/test.csv +90 -0
  10. classification/unipredict/abcsds-pokemon/test.jsonl +89 -0
  11. classification/unipredict/abcsds-pokemon/train.csv +712 -0
  12. classification/unipredict/abcsds-pokemon/train.jsonl +0 -0
  13. classification/unipredict/adityakadiwal-water-potability/metadata.json +23 -0
  14. classification/unipredict/adityakadiwal-water-potability/test.csv +329 -0
  15. classification/unipredict/adityakadiwal-water-potability/test.jsonl +0 -0
  16. classification/unipredict/adityakadiwal-water-potability/train.csv +0 -0
  17. classification/unipredict/adityakadiwal-water-potability/train.jsonl +0 -0
  18. classification/unipredict/agirlcoding-all-space-missions-from-1957/metadata.json +29 -0
  19. classification/unipredict/agirlcoding-all-space-missions-from-1957/test.csv +435 -0
  20. classification/unipredict/agirlcoding-all-space-missions-from-1957/test.jsonl +0 -0
  21. classification/unipredict/agirlcoding-all-space-missions-from-1957/train.csv +0 -0
  22. classification/unipredict/agirlcoding-all-space-missions-from-1957/train.jsonl +0 -0
  23. classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/test.csv +192 -0
  24. classification/unipredict/bhanupratapbiswas-fashion-products/train.csv +899 -0
  25. classification/unipredict/bhanupratapbiswas-ipl-dataset-2008-2016/test.csv +64 -0
  26. classification/unipredict/bhanupratapbiswas-ipl-dataset-2008-2016/test.jsonl +63 -0
  27. classification/unipredict/bhanupratapbiswas-ipl-dataset-2008-2016/train.jsonl +0 -0
  28. classification/unipredict/bhanupratapbiswas-world-top-billionaires/metadata.json +29 -0
  29. classification/unipredict/bhanupratapbiswas-world-top-billionaires/test.csv +265 -0
  30. classification/unipredict/bhanupratapbiswas-world-top-billionaires/test.jsonl +0 -0
  31. classification/unipredict/bhanupratapbiswas-world-top-billionaires/train.csv +0 -0
  32. classification/unipredict/bhanupratapbiswas-world-top-billionaires/train.jsonl +0 -0
  33. classification/unipredict/bharath011-heart-disease-classification-dataset/metadata.json +23 -0
  34. classification/unipredict/bharath011-heart-disease-classification-dataset/test.csv +133 -0
  35. classification/unipredict/bharath011-heart-disease-classification-dataset/test.jsonl +132 -0
  36. classification/unipredict/bharath011-heart-disease-classification-dataset/train.csv +1188 -0
  37. classification/unipredict/bharath011-heart-disease-classification-dataset/train.jsonl +0 -0
  38. classification/unipredict/bhavkaur-hotel-guests-dataset/metadata.json +26 -0
  39. classification/unipredict/bhavkaur-hotel-guests-dataset/test.csv +403 -0
  40. classification/unipredict/bhavkaur-hotel-guests-dataset/test.jsonl +201 -0
  41. classification/unipredict/bhavkaur-hotel-guests-dataset/train.csv +0 -0
  42. classification/unipredict/bhavkaur-hotel-guests-dataset/train.jsonl +0 -0
  43. classification/unipredict/bhavkaur-simplified-titanic-dataset/metadata.json +23 -0
  44. classification/unipredict/bhavkaur-simplified-titanic-dataset/test.csv +226 -0
  45. classification/unipredict/bhavkaur-simplified-titanic-dataset/test.jsonl +225 -0
  46. classification/unipredict/bhavkaur-simplified-titanic-dataset/train.csv +2016 -0
  47. classification/unipredict/bhavkaur-simplified-titanic-dataset/train.jsonl +0 -0
  48. classification/unipredict/blastchar-telco-customer-churn/metadata.json +23 -0
  49. classification/unipredict/blastchar-telco-customer-churn/test.csv +706 -0
  50. classification/unipredict/blastchar-telco-customer-churn/test.jsonl +0 -0
README.md ADDED
@@ -0,0 +1,178 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - en
4
+ license: mit
5
+ size_categories:
6
+ - 1M<n<10M
7
+ task_categories:
8
+ - text-classification
9
+ - feature-extraction
10
+ - text-retrieval
11
+ tags:
12
+ - tabular
13
+ - embedding
14
+ - benchmark
15
+ - contrastive-learning
16
+ - retrieval
17
+ - classification
18
+ pretty_name: TabBench - Tabular Embedding Benchmark
19
+ ---
20
+
21
+ <div align="center">
22
+
23
+ # TabBench: Tabular Embedding Benchmark
24
+
25
+ ### A Comprehensive Evaluation Suite for Tabular Embedding Models
26
+
27
+ [![GitHub](https://img.shields.io/badge/GitHub-TabEmbed-black)](https://github.com/xxx/TabEmbed)
28
+
29
+ </div>
30
+
31
+ ---
32
+
33
+ ## Overview
34
+
35
+ **TabBench** is a comprehensive benchmark designed to evaluate the tabular understanding capability of embedding models. It assesses two critical dimensions of tabular representation: **linear separability** (via classification) and **semantic alignment** (via retrieval).
36
+
37
+ TabBench aggregates diverse datasets from four authoritative repositories and provides a standardized evaluation pipeline.
38
+
39
+ ## Benchmark Statistics
40
+
41
+ | Category | Count | Samples / Corpus |
42
+ |:---|---:|---:|
43
+ | **Classification** | | |
44
+ | Grinsztajn | 56 datasets | 521,889 |
45
+ | OpenML-CC18 | 66 datasets | 249,939 |
46
+ | OpenML-CTR23 | 34 datasets | 210,026 |
47
+ | UniPredict | 155 datasets | 386,618 |
48
+ | *Classification Total* | *311 datasets* | *1,368,472* |
49
+ | **Retrieval** | | |
50
+ | Corpus | — | 1,394,247 |
51
+ | Numeric Queries | 10,000 | — |
52
+ | Categorical Queries | 10,000 | — |
53
+ | Mixed Queries | 10,000 | — |
54
+ | *Retrieval Total* | *30,000 queries* | *1,394,247* |
55
+
56
+ ## Data Format
57
+
58
+ ### Serialization
59
+
60
+ All tabular rows are serialized into natural language using the template:
61
+
62
+ ```
63
+ The {column_name} is {value}. The {column_name} is {value}. ...
64
+ ```
65
+
66
+ For example:
67
+ ```
68
+ The age is 25. The occupation is Engineer. The salary is 75000.50. The city is New York.
69
+ ```
70
+
71
+ ### Classification Task
72
+
73
+ Each dataset directory contains:
74
+ - `train.jsonl`: Training split with fields `text` (serialized row) and `label`
75
+ - `test.jsonl`: Test split with the same format
76
+ - `metadata.json`: Dataset metadata (source, num_classes, num_features, etc.)
77
+
78
+ ```json
79
+ {"text": "The age is 25. The occupation is Engineer.", "label": "High Income"}
80
+ ```
81
+
82
+ ### Retrieval Task
83
+
84
+ The retrieval directory contains:
85
+ - `corpus.jsonl`: Global corpus of serialized rows (~1.4M documents), each with `idx` and `text` fields
86
+ - `queries.jsonl`: All retrieval queries (30,000 total: 10k numeric + 10k categorical + 10k mixed)
87
+
88
+ Corpus format:
89
+ ```json
90
+ {"idx": 0, "text": "The V1 is 3.0. The V2 is 559.0. ..."}
91
+ ```
92
+
93
+ Query format:
94
+ ```json
95
+ {
96
+ "task": "retrieval",
97
+ "query_id": "retrieval_numeric_000001",
98
+ "query_text": "find records where Easter is 0",
99
+ "query_type": "numeric",
100
+ "conditions": [{"field": "Easter", "operator": "==", "value": 0.0, "type": "numeric"}],
101
+ "num_conditions": 1,
102
+ "matching_indices": [1384050, 1384051, ...],
103
+ "num_matches": 1822
104
+ }
105
+ ```
106
+
107
+ ## Evaluation Protocol
108
+
109
+ ### Classification (Linear Probing)
110
+ 1. Extract frozen embeddings for all samples using the target model
111
+ 2. Train an independent Logistic Regression classifier per dataset (`max_iter=1000`, `random_state=42`)
112
+ 3. Report **Accuracy** and **Macro-F1** on the test split
113
+
114
+ ### Retrieval (Dense Retrieval)
115
+ 1. Encode all corpus documents and queries
116
+ 2. Build a Faiss `IndexFlatIP` index (cosine similarity via L2-normalized vectors)
117
+ 3. Retrieve top-k documents for each query
118
+ 4. Report **MRR@10** and **nDCG@10**
119
+
120
+ ### Overall Score
121
+ The **Overall** metric is the macro-average of Accuracy, F1, MRR@10, and nDCG@10.
122
+
123
+ ## Leaderboard
124
+
125
+ | Model | #Params | Overall | Accuracy | F1 | MRR@10 | nDCG@10 |
126
+ |:---|:---:|:---:|:---:|:---:|:---:|:---:|
127
+ | Jina-Embeddings-v3 | 0.6B | 41.48 | 60.33 | 46.11 | 32.49 | 26.98 |
128
+ | Jasper-Token-Compression | 0.6B | 42.75 | 61.25 | 47.69 | 33.56 | 28.50 |
129
+ | Qwen3-Embedding-0.6B | 0.6B | 44.92 | 62.81 | 50.32 | 36.00 | 30.56 |
130
+ | **TabEmbed-0.6B** | **0.6B** | **65.27** | **67.16** | **56.56** | **71.72** | **65.64** |
131
+ | F2LLM-4B | 4B | 48.02 | 64.92 | 52.48 | 40.60 | 34.08 |
132
+ | Octen-Embedding-4B | 4B | 48.62 | 65.36 | 53.64 | 40.97 | 34.51 |
133
+ | Qwen3-Embedding-4B | 4B | 48.91 | 65.09 | 52.72 | 42.04 | 35.76 |
134
+ | **TabEmbed-4B** | **4B** | **70.71** | **69.51** | **59.75** | **79.33** | **74.25** |
135
+ | SFR-Embedding-Mistral | 7B | 49.42 | 64.28 | 50.75 | 44.23 | 38.41 |
136
+ | Linq-Embed-Mistral | 7B | 50.74 | 66.06 | 53.33 | 44.65 | 38.92 |
137
+ | GTE-Qwen2-7B-Instruct | 7B | 51.27 | 64.67 | 51.76 | 47.44 | 41.19 |
138
+ | Qwen3-Embedding-8B | 8B | 48.03 | 65.08 | 52.81 | 40.06 | 34.16 |
139
+ | **TabEmbed-8B** | **8B** | **71.62** | **69.88** | **60.19** | **80.58** | **75.83** |
140
+
141
+ ## Quick Start
142
+
143
+ ```bash
144
+ # Clone the evaluation code
145
+ git clone https://github.com/xxx/TabEmbed.git
146
+ cd TabEmbed
147
+ pip install -r requirements.txt
148
+
149
+ # Run evaluation
150
+ python src/run_benchmark.py \
151
+ --benchmark_dir /path/to/TabBench \
152
+ --model_name_or_path your-model-name \
153
+ --output_dir results/ \
154
+ --max_seq_length 1024 \
155
+ --batch_size 64
156
+ ```
157
+
158
+ ## Source Datasets
159
+
160
+ TabBench is built upon the following high-quality data sources:
161
+ - [Grinsztajn et al. (2022)](https://arxiv.org/abs/2207.08815) — Tree-based models benchmark
162
+ - [OpenML-CC18](https://www.openml.org/s/99) — OpenML curated classification benchmark
163
+ - [OpenML-CTR23](https://www.openml.org/s/336) — OpenML tabular regression benchmark
164
+ - [UniPredict](https://arxiv.org/abs/2310.03266) — Universal prediction benchmark
165
+
166
+ Raw evaluation data is sourced from [tabula-8b-eval-suite](https://huggingface.co/datasets/mlfoundations/tabula-8b-eval-suite).
167
+
168
+ ## Citation
169
+
170
+ If you use TabBench in your research, please cite:
171
+
172
+ > Paper coming soon. Please check back later for the BibTeX citation.
173
+
174
+ ## License
175
+
176
+ This benchmark is released under the [MIT License](https://opensource.org/licenses/MIT).
177
+
178
+ Note: The individual upstream datasets included in this benchmark may have their own respective licenses. Please refer to the original data sources for their specific terms.
classification/stats.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_datasets": 311,
3
+ "total_samples": 1368472,
4
+ "by_benchmark": {
5
+ "grinsztajn": {
6
+ "datasets": 56,
7
+ "samples": 521889
8
+ },
9
+ "openml_cc18": {
10
+ "datasets": 66,
11
+ "samples": 249939
12
+ },
13
+ "openml_ctr23": {
14
+ "datasets": 34,
15
+ "samples": 210026
16
+ },
17
+ "unipredict": {
18
+ "datasets": 155,
19
+ "samples": 386618
20
+ }
21
+ }
22
+ }
classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/metadata.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "aakashjoshi123-exercise-and-fitness-metrics-dataset",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Actual Weight",
8
+ "label_values": [
9
+ "less than 62.476906405",
10
+ "greater than 88.10576654500001",
11
+ "between 62.476906405 and 75.544407485",
12
+ "between 75.544407485 and 88.10576654500001"
13
+ ],
14
+ "num_labels": 4,
15
+ "train_samples": 3476,
16
+ "test_samples": 388,
17
+ "train_label_distribution": {
18
+ "less than 62.476906405": 869,
19
+ "between 75.544407485 and 88.10576654500001": 869,
20
+ "between 62.476906405 and 75.544407485": 869,
21
+ "greater than 88.10576654500001": 869
22
+ },
23
+ "test_label_distribution": {
24
+ "greater than 88.10576654500001": 97,
25
+ "between 62.476906405 and 75.544407485": 97,
26
+ "less than 62.476906405": 97,
27
+ "between 75.544407485 and 88.10576654500001": 97
28
+ }
29
+ }
classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/test.csv ADDED
@@ -0,0 +1,389 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ID,Exercise,Calories Burn,Dream Weight,Age,Gender,Duration,Heart Rate,BMI,Weather Conditions,Exercise Intensity,Actual Weight
2
+ 3367,Exercise 6,461.82,96.36,23,Male,49,172,30.23,Rainy,4,greater than 88.10576654500001
3
+ 3815,Exercise 4,379.46,68.63,60,Female,56,120,18.87,Cloudy,1,between 62.476906405 and 75.544407485
4
+ 303,Exercise 8,254.74,67.98,56,Female,46,170,19.97,Sunny,6,between 62.476906405 and 75.544407485
5
+ 1960,Exercise 6,356.23,87.17,36,Female,39,149,32.01,Sunny,7,greater than 88.10576654500001
6
+ 2868,Exercise 2,209.82,95.59,60,Male,32,171,26.24,Cloudy,6,greater than 88.10576654500001
7
+ 289,Exercise 1,422.81,50.37,52,Male,42,103,26.71,Sunny,3,less than 62.476906405
8
+ 3779,Exercise 7,127.11,61.66,41,Female,23,120,32.47,Rainy,8,between 62.476906405 and 75.544407485
9
+ 2791,Exercise 5,335.32,89.44,35,Female,54,153,19.8,Sunny,5,greater than 88.10576654500001
10
+ 827,Exercise 4,349.64,78.42,45,Male,31,102,29.5,Rainy,2,between 75.544407485 and 88.10576654500001
11
+ 4,Exercise 5,127.18,79.48,33,Male,39,170,33.73,Sunny,10,between 75.544407485 and 88.10576654500001
12
+ 1085,Exercise 6,469.78,81.98,18,Male,27,124,32.54,Sunny,10,between 75.544407485 and 88.10576654500001
13
+ 972,Exercise 9,398.31,88.49,28,Female,28,160,24.64,Cloudy,7,between 75.544407485 and 88.10576654500001
14
+ 1805,Exercise 9,154.51,97.59,42,Male,60,144,24.05,Rainy,10,greater than 88.10576654500001
15
+ 163,Exercise 8,166.0,69.54,56,Male,51,162,22.66,Rainy,2,between 62.476906405 and 75.544407485
16
+ 206,Exercise 10,262.14,98.54,25,Female,36,103,20.53,Rainy,4,greater than 88.10576654500001
17
+ 3430,Exercise 3,346.2,51.27,56,Female,51,142,27.51,Cloudy,8,less than 62.476906405
18
+ 2243,Exercise 8,227.08,53.13,55,Female,54,116,23.04,Sunny,10,less than 62.476906405
19
+ 3303,Exercise 7,395.75,64.6,45,Female,47,129,21.13,Rainy,9,less than 62.476906405
20
+ 1633,Exercise 4,229.29,81.41,30,Female,26,104,32.93,Cloudy,9,between 75.544407485 and 88.10576654500001
21
+ 247,Exercise 4,286.46,58.91,41,Female,25,144,23.0,Sunny,4,less than 62.476906405
22
+ 583,Exercise 2,366.62,92.1,32,Female,56,103,23.68,Cloudy,6,greater than 88.10576654500001
23
+ 906,Exercise 1,444.54,62.05,55,Male,25,102,34.74,Rainy,1,less than 62.476906405
24
+ 72,Exercise 4,251.97,79.67,19,Female,34,107,25.39,Sunny,2,between 75.544407485 and 88.10576654500001
25
+ 27,Exercise 9,297.68,79.37,56,Male,39,133,20.03,Sunny,1,between 75.544407485 and 88.10576654500001
26
+ 2235,Exercise 9,334.73,81.45,43,Male,42,144,32.1,Cloudy,10,between 75.544407485 and 88.10576654500001
27
+ 1425,Exercise 7,416.44,83.89,40,Male,34,124,25.24,Sunny,3,between 75.544407485 and 88.10576654500001
28
+ 2858,Exercise 6,390.41,97.73,52,Female,55,143,20.73,Sunny,6,greater than 88.10576654500001
29
+ 636,Exercise 3,481.48,63.66,38,Female,33,141,19.08,Cloudy,3,between 62.476906405 and 75.544407485
30
+ 2942,Exercise 10,242.96,69.5,43,Female,48,165,24.03,Cloudy,5,between 62.476906405 and 75.544407485
31
+ 1502,Exercise 9,435.34,75.3,55,Female,46,137,20.76,Cloudy,9,between 75.544407485 and 88.10576654500001
32
+ 2111,Exercise 8,389.86,67.6,23,Female,36,148,19.28,Rainy,8,between 62.476906405 and 75.544407485
33
+ 1139,Exercise 2,497.34,66.91,23,Female,52,124,31.67,Cloudy,2,between 62.476906405 and 75.544407485
34
+ 3000,Exercise 6,339.87,74.52,24,Male,59,122,34.27,Rainy,7,between 62.476906405 and 75.544407485
35
+ 576,Exercise 8,307.82,50.43,41,Female,23,139,25.24,Cloudy,3,less than 62.476906405
36
+ 2212,Exercise 7,207.61,62.92,38,Female,21,116,28.17,Cloudy,3,between 62.476906405 and 75.544407485
37
+ 2108,Exercise 2,457.92,71.5,18,Male,56,134,23.66,Cloudy,7,between 62.476906405 and 75.544407485
38
+ 633,Exercise 1,155.54,75.52,46,Male,56,169,33.19,Rainy,10,between 75.544407485 and 88.10576654500001
39
+ 869,Exercise 3,323.13,76.77,47,Female,23,117,19.3,Sunny,3,between 75.544407485 and 88.10576654500001
40
+ 3304,Exercise 10,475.42,82.69,55,Female,60,161,22.18,Cloudy,6,between 75.544407485 and 88.10576654500001
41
+ 3226,Exercise 4,363.16,50.16,31,Male,56,168,30.52,Cloudy,5,less than 62.476906405
42
+ 351,Exercise 1,115.8,92.42,48,Female,59,106,21.93,Sunny,3,greater than 88.10576654500001
43
+ 2404,Exercise 4,306.87,96.25,31,Female,21,171,32.59,Cloudy,10,greater than 88.10576654500001
44
+ 1439,Exercise 8,396.3,72.97,59,Female,53,165,26.46,Cloudy,3,between 62.476906405 and 75.544407485
45
+ 796,Exercise 3,168.81,73.99,23,Female,38,106,28.13,Sunny,8,between 62.476906405 and 75.544407485
46
+ 15,Exercise 10,451.85,65.28,19,Male,59,174,26.34,Cloudy,4,less than 62.476906405
47
+ 2667,Exercise 8,283.36,62.0,28,Female,56,148,29.63,Rainy,9,less than 62.476906405
48
+ 3149,Exercise 9,453.47,64.19,58,Female,52,139,26.64,Rainy,8,between 62.476906405 and 75.544407485
49
+ 2060,Exercise 2,204.95,57.67,56,Female,33,162,24.35,Cloudy,9,less than 62.476906405
50
+ 2618,Exercise 6,342.99,68.68,22,Female,45,148,19.6,Sunny,9,between 62.476906405 and 75.544407485
51
+ 3461,Exercise 9,329.81,99.47,49,Female,50,144,28.85,Sunny,9,greater than 88.10576654500001
52
+ 1763,Exercise 10,404.61,95.28,31,Female,51,163,26.93,Cloudy,3,greater than 88.10576654500001
53
+ 1270,Exercise 10,115.3,65.95,44,Male,43,105,22.39,Cloudy,9,between 62.476906405 and 75.544407485
54
+ 2215,Exercise 7,251.46,77.17,38,Male,39,180,28.88,Rainy,6,between 75.544407485 and 88.10576654500001
55
+ 415,Exercise 10,454.41,91.46,43,Female,20,104,20.94,Rainy,4,greater than 88.10576654500001
56
+ 366,Exercise 7,296.35,65.02,26,Male,27,147,32.67,Cloudy,3,between 62.476906405 and 75.544407485
57
+ 2894,Exercise 9,469.61,57.34,59,Female,58,143,19.72,Rainy,3,less than 62.476906405
58
+ 3852,Exercise 3,274.18,73.46,42,Female,51,173,26.79,Cloudy,10,between 62.476906405 and 75.544407485
59
+ 335,Exercise 9,411.67,54.73,26,Male,41,165,27.68,Sunny,7,less than 62.476906405
60
+ 381,Exercise 1,118.73,53.96,25,Male,20,126,20.5,Rainy,5,less than 62.476906405
61
+ 1925,Exercise 8,218.99,60.92,58,Male,50,127,26.39,Cloudy,9,between 62.476906405 and 75.544407485
62
+ 2928,Exercise 3,415.49,62.23,32,Female,54,120,23.69,Cloudy,5,between 62.476906405 and 75.544407485
63
+ 3260,Exercise 5,352.88,73.7,24,Male,47,177,25.96,Rainy,5,between 62.476906405 and 75.544407485
64
+ 623,Exercise 5,337.95,79.02,52,Female,47,116,25.44,Rainy,5,between 75.544407485 and 88.10576654500001
65
+ 3223,Exercise 5,127.74,56.43,19,Male,57,152,18.74,Rainy,3,less than 62.476906405
66
+ 3764,Exercise 9,452.88,87.4,41,Female,40,112,26.06,Sunny,9,greater than 88.10576654500001
67
+ 2461,Exercise 7,354.1,65.56,51,Male,57,169,27.85,Rainy,2,between 62.476906405 and 75.544407485
68
+ 432,Exercise 8,406.31,78.79,55,Male,56,107,29.26,Rainy,2,between 75.544407485 and 88.10576654500001
69
+ 667,Exercise 3,479.46,55.05,27,Female,26,144,28.01,Rainy,5,less than 62.476906405
70
+ 3146,Exercise 7,121.26,59.25,42,Male,23,141,19.14,Rainy,3,between 62.476906405 and 75.544407485
71
+ 3245,Exercise 7,252.59,92.33,58,Female,33,127,26.82,Sunny,10,greater than 88.10576654500001
72
+ 2621,Exercise 2,207.49,72.27,31,Male,28,138,33.37,Cloudy,4,between 62.476906405 and 75.544407485
73
+ 2433,Exercise 9,403.59,82.87,39,Female,21,118,34.01,Sunny,5,between 75.544407485 and 88.10576654500001
74
+ 219,Exercise 3,114.1,51.58,44,Male,57,180,22.9,Rainy,7,less than 62.476906405
75
+ 531,Exercise 5,496.01,83.32,52,Female,56,131,34.24,Rainy,7,between 75.544407485 and 88.10576654500001
76
+ 3350,Exercise 8,462.32,73.59,47,Female,57,144,29.91,Sunny,2,between 75.544407485 and 88.10576654500001
77
+ 2068,Exercise 10,200.01,95.97,37,Female,23,148,26.39,Rainy,1,greater than 88.10576654500001
78
+ 1655,Exercise 5,472.27,76.89,45,Male,58,128,30.45,Cloudy,9,between 62.476906405 and 75.544407485
79
+ 1878,Exercise 4,488.44,85.78,21,Male,32,116,26.77,Cloudy,1,greater than 88.10576654500001
80
+ 3242,Exercise 5,482.06,76.81,53,Male,59,153,19.1,Cloudy,6,between 62.476906405 and 75.544407485
81
+ 215,Exercise 4,126.15,74.82,30,Female,50,129,29.01,Cloudy,10,between 75.544407485 and 88.10576654500001
82
+ 886,Exercise 5,458.14,53.66,21,Female,22,175,19.44,Rainy,7,less than 62.476906405
83
+ 2528,Exercise 9,407.03,76.26,57,Female,37,138,31.15,Cloudy,5,between 62.476906405 and 75.544407485
84
+ 373,Exercise 7,144.65,65.77,48,Male,50,129,33.66,Rainy,2,between 62.476906405 and 75.544407485
85
+ 2725,Exercise 8,424.37,72.43,43,Male,22,125,25.81,Sunny,7,between 62.476906405 and 75.544407485
86
+ 1603,Exercise 4,354.47,72.28,46,Female,36,123,33.16,Rainy,1,between 62.476906405 and 75.544407485
87
+ 3485,Exercise 2,312.47,57.09,39,Male,38,126,34.03,Rainy,1,less than 62.476906405
88
+ 3139,Exercise 6,202.19,83.45,34,Male,53,125,33.08,Rainy,1,between 75.544407485 and 88.10576654500001
89
+ 3688,Exercise 8,359.22,79.72,52,Male,42,133,28.06,Rainy,8,between 75.544407485 and 88.10576654500001
90
+ 3500,Exercise 9,139.13,52.37,28,Female,33,117,19.66,Sunny,3,less than 62.476906405
91
+ 1929,Exercise 7,462.68,96.75,39,Male,25,122,32.18,Sunny,3,greater than 88.10576654500001
92
+ 545,Exercise 3,305.8,76.38,47,Male,51,125,20.33,Cloudy,7,between 75.544407485 and 88.10576654500001
93
+ 1135,Exercise 4,302.51,55.08,18,Male,20,115,34.68,Cloudy,7,less than 62.476906405
94
+ 3052,Exercise 3,379.94,81.61,29,Female,33,180,30.18,Rainy,2,between 75.544407485 and 88.10576654500001
95
+ 3780,Exercise 8,207.18,91.97,36,Male,52,116,26.19,Sunny,1,greater than 88.10576654500001
96
+ 3362,Exercise 6,360.29,77.65,30,Male,48,115,22.25,Sunny,1,between 75.544407485 and 88.10576654500001
97
+ 112,Exercise 7,118.34,84.54,47,Female,38,141,31.36,Sunny,6,between 75.544407485 and 88.10576654500001
98
+ 231,Exercise 7,213.92,98.19,42,Male,51,143,18.54,Cloudy,6,greater than 88.10576654500001
99
+ 1507,Exercise 8,461.77,69.33,23,Female,32,100,32.48,Rainy,10,between 62.476906405 and 75.544407485
100
+ 1868,Exercise 7,145.39,67.59,30,Male,49,121,24.26,Rainy,4,between 62.476906405 and 75.544407485
101
+ 3724,Exercise 7,436.52,89.66,21,Female,35,162,32.65,Sunny,4,greater than 88.10576654500001
102
+ 121,Exercise 2,302.95,78.63,32,Female,37,103,27.46,Sunny,4,between 75.544407485 and 88.10576654500001
103
+ 3046,Exercise 10,133.08,51.34,58,Female,60,103,19.74,Sunny,8,less than 62.476906405
104
+ 1157,Exercise 1,347.79,87.01,35,Male,24,131,27.98,Rainy,6,between 75.544407485 and 88.10576654500001
105
+ 1177,Exercise 9,250.42,53.32,45,Male,36,133,28.84,Sunny,8,less than 62.476906405
106
+ 2933,Exercise 1,253.09,52.75,46,Female,54,175,31.88,Cloudy,2,less than 62.476906405
107
+ 2133,Exercise 7,356.21,70.92,33,Female,24,107,21.24,Sunny,1,between 62.476906405 and 75.544407485
108
+ 2755,Exercise 7,404.2,79.47,27,Female,39,161,31.31,Rainy,5,between 75.544407485 and 88.10576654500001
109
+ 3194,Exercise 6,388.65,74.42,21,Male,43,110,29.72,Rainy,8,between 62.476906405 and 75.544407485
110
+ 1372,Exercise 2,456.51,50.06,32,Female,27,152,30.59,Cloudy,3,less than 62.476906405
111
+ 2476,Exercise 3,166.67,72.83,31,Male,33,175,24.53,Rainy,7,between 62.476906405 and 75.544407485
112
+ 3020,Exercise 9,288.9,60.97,48,Female,37,178,20.65,Cloudy,3,between 62.476906405 and 75.544407485
113
+ 669,Exercise 10,268.7,98.54,60,Male,36,108,26.96,Rainy,7,greater than 88.10576654500001
114
+ 3714,Exercise 10,217.19,63.81,19,Male,21,153,34.29,Sunny,3,between 62.476906405 and 75.544407485
115
+ 3343,Exercise 3,150.41,96.06,33,Male,42,166,23.49,Rainy,9,greater than 88.10576654500001
116
+ 1664,Exercise 8,231.09,80.8,50,Male,49,148,29.64,Cloudy,2,between 75.544407485 and 88.10576654500001
117
+ 1636,Exercise 7,278.33,52.04,18,Male,34,120,23.37,Sunny,4,less than 62.476906405
118
+ 200,Exercise 7,188.62,96.74,43,Male,55,173,28.17,Rainy,9,greater than 88.10576654500001
119
+ 3433,Exercise 1,329.2,91.17,27,Female,40,124,27.4,Sunny,1,greater than 88.10576654500001
120
+ 1958,Exercise 3,342.72,54.5,59,Male,28,128,26.81,Cloudy,1,less than 62.476906405
121
+ 3645,Exercise 2,372.42,73.4,31,Male,55,114,29.61,Cloudy,4,between 62.476906405 and 75.544407485
122
+ 1183,Exercise 3,244.45,64.22,29,Female,59,137,27.95,Cloudy,8,between 62.476906405 and 75.544407485
123
+ 2600,Exercise 2,183.56,98.42,55,Female,50,143,27.27,Sunny,8,greater than 88.10576654500001
124
+ 2871,Exercise 3,303.92,76.24,43,Female,39,168,18.84,Sunny,10,between 62.476906405 and 75.544407485
125
+ 768,Exercise 3,262.79,70.41,59,Male,29,149,27.35,Sunny,4,between 62.476906405 and 75.544407485
126
+ 2241,Exercise 5,104.12,58.52,49,Male,44,167,31.49,Sunny,2,less than 62.476906405
127
+ 3849,Exercise 4,188.23,90.62,59,Male,28,139,25.72,Cloudy,10,greater than 88.10576654500001
128
+ 2995,Exercise 5,219.66,75.59,33,Female,45,167,19.57,Cloudy,8,between 62.476906405 and 75.544407485
129
+ 2498,Exercise 5,213.52,69.63,36,Male,35,173,26.63,Cloudy,2,between 62.476906405 and 75.544407485
130
+ 2620,Exercise 4,417.31,53.29,24,Male,35,152,28.2,Sunny,2,less than 62.476906405
131
+ 2468,Exercise 9,267.2,55.05,54,Male,50,165,26.63,Cloudy,3,less than 62.476906405
132
+ 2431,Exercise 3,327.14,51.04,24,Male,60,178,24.12,Cloudy,9,less than 62.476906405
133
+ 1759,Exercise 6,234.98,96.01,55,Male,24,169,21.15,Cloudy,4,greater than 88.10576654500001
134
+ 1686,Exercise 2,103.33,67.19,34,Female,57,136,33.76,Rainy,10,between 62.476906405 and 75.544407485
135
+ 3101,Exercise 2,149.18,93.11,60,Male,38,164,18.98,Cloudy,5,greater than 88.10576654500001
136
+ 2059,Exercise 7,160.6,72.87,49,Female,40,167,31.97,Rainy,5,between 62.476906405 and 75.544407485
137
+ 3400,Exercise 1,170.77,75.72,35,Female,20,105,33.98,Cloudy,1,between 75.544407485 and 88.10576654500001
138
+ 539,Exercise 10,436.21,86.6,27,Male,33,118,22.72,Cloudy,8,greater than 88.10576654500001
139
+ 828,Exercise 4,298.77,89.76,46,Male,35,138,31.68,Cloudy,5,greater than 88.10576654500001
140
+ 2301,Exercise 2,161.6,69.53,41,Male,45,101,32.36,Cloudy,8,between 62.476906405 and 75.544407485
141
+ 2500,Exercise 7,409.56,92.93,52,Male,37,112,29.31,Rainy,6,greater than 88.10576654500001
142
+ 2703,Exercise 2,118.5,70.15,54,Female,50,174,24.29,Cloudy,8,between 62.476906405 and 75.544407485
143
+ 564,Exercise 6,441.6,68.89,47,Male,28,105,23.97,Cloudy,5,between 62.476906405 and 75.544407485
144
+ 1956,Exercise 8,259.53,87.75,48,Male,57,140,29.1,Cloudy,6,between 75.544407485 and 88.10576654500001
145
+ 1623,Exercise 9,234.74,82.44,33,Female,27,102,29.52,Cloudy,6,between 75.544407485 and 88.10576654500001
146
+ 3270,Exercise 5,407.89,98.86,22,Male,60,100,22.04,Rainy,1,greater than 88.10576654500001
147
+ 470,Exercise 5,362.4,54.22,54,Male,26,121,18.51,Rainy,5,less than 62.476906405
148
+ 2321,Exercise 10,351.94,62.08,52,Male,58,123,33.11,Sunny,1,between 62.476906405 and 75.544407485
149
+ 2003,Exercise 10,106.91,99.77,57,Female,56,122,34.13,Sunny,9,greater than 88.10576654500001
150
+ 1993,Exercise 5,284.22,81.82,25,Female,39,123,21.58,Rainy,10,between 75.544407485 and 88.10576654500001
151
+ 414,Exercise 5,167.37,57.49,50,Female,46,148,19.42,Cloudy,2,less than 62.476906405
152
+ 3753,Exercise 1,319.05,80.91,34,Female,28,102,23.27,Rainy,8,between 75.544407485 and 88.10576654500001
153
+ 99,Exercise 2,267.58,90.13,41,Male,46,163,32.02,Cloudy,7,between 75.544407485 and 88.10576654500001
154
+ 3441,Exercise 10,151.47,92.13,31,Female,46,120,25.78,Cloudy,6,greater than 88.10576654500001
155
+ 3021,Exercise 4,128.92,57.55,52,Female,31,158,30.33,Sunny,6,less than 62.476906405
156
+ 1532,Exercise 2,312.41,82.92,25,Male,54,105,31.02,Sunny,10,between 75.544407485 and 88.10576654500001
157
+ 2156,Exercise 1,463.66,79.64,60,Female,38,100,32.08,Rainy,2,between 75.544407485 and 88.10576654500001
158
+ 923,Exercise 10,375.9,53.61,21,Female,55,175,26.38,Sunny,1,less than 62.476906405
159
+ 1130,Exercise 8,402.95,89.05,39,Female,54,161,28.66,Rainy,10,greater than 88.10576654500001
160
+ 3470,Exercise 9,194.38,90.98,20,Female,55,157,33.23,Rainy,10,greater than 88.10576654500001
161
+ 1857,Exercise 6,390.43,87.68,55,Male,53,115,33.45,Sunny,5,greater than 88.10576654500001
162
+ 2336,Exercise 6,467.88,68.92,42,Male,24,180,27.16,Sunny,7,between 62.476906405 and 75.544407485
163
+ 1545,Exercise 6,111.09,77.52,38,Male,36,130,18.88,Cloudy,5,between 62.476906405 and 75.544407485
164
+ 3262,Exercise 4,484.56,93.46,49,Female,38,122,31.34,Cloudy,8,greater than 88.10576654500001
165
+ 3232,Exercise 2,184.77,65.26,55,Male,50,167,33.52,Rainy,3,less than 62.476906405
166
+ 3809,Exercise 4,485.05,98.81,51,Female,55,162,24.16,Sunny,9,greater than 88.10576654500001
167
+ 938,Exercise 2,492.89,81.8,49,Female,43,164,30.87,Sunny,6,between 75.544407485 and 88.10576654500001
168
+ 1254,Exercise 2,284.96,79.59,48,Male,58,108,23.03,Cloudy,10,between 75.544407485 and 88.10576654500001
169
+ 1222,Exercise 2,345.51,63.95,45,Female,25,174,34.11,Cloudy,6,less than 62.476906405
170
+ 628,Exercise 1,295.77,85.62,29,Female,54,134,25.58,Rainy,9,greater than 88.10576654500001
171
+ 1111,Exercise 7,199.68,86.25,52,Female,33,167,34.12,Sunny,5,greater than 88.10576654500001
172
+ 3385,Exercise 10,121.08,94.85,44,Female,25,134,27.98,Sunny,6,greater than 88.10576654500001
173
+ 2490,Exercise 8,453.99,56.17,53,Male,51,167,31.13,Cloudy,6,less than 62.476906405
174
+ 3466,Exercise 6,294.99,94.57,59,Female,53,137,21.08,Rainy,4,greater than 88.10576654500001
175
+ 2701,Exercise 1,413.74,90.07,23,Male,59,104,21.34,Cloudy,4,greater than 88.10576654500001
176
+ 3411,Exercise 4,262.02,84.22,24,Male,27,119,26.17,Sunny,7,greater than 88.10576654500001
177
+ 2553,Exercise 6,478.48,82.24,59,Male,32,101,31.43,Rainy,4,between 75.544407485 and 88.10576654500001
178
+ 1969,Exercise 7,240.75,89.69,43,Female,52,144,33.04,Rainy,5,greater than 88.10576654500001
179
+ 764,Exercise 6,426.97,63.01,39,Male,53,103,30.39,Cloudy,8,between 62.476906405 and 75.544407485
180
+ 3137,Exercise 7,434.93,53.98,26,Female,53,175,22.19,Cloudy,8,less than 62.476906405
181
+ 950,Exercise 6,318.91,87.13,43,Male,57,176,24.84,Sunny,9,greater than 88.10576654500001
182
+ 1274,Exercise 6,110.09,73.8,39,Female,60,101,33.13,Sunny,10,between 62.476906405 and 75.544407485
183
+ 280,Exercise 1,414.01,83.19,43,Male,27,126,30.84,Sunny,10,between 75.544407485 and 88.10576654500001
184
+ 1719,Exercise 5,392.46,78.61,38,Male,39,162,24.73,Cloudy,6,between 75.544407485 and 88.10576654500001
185
+ 2771,Exercise 10,231.72,84.89,21,Male,48,150,20.27,Rainy,3,between 75.544407485 and 88.10576654500001
186
+ 1641,Exercise 6,181.46,95.74,55,Male,54,146,32.46,Cloudy,3,greater than 88.10576654500001
187
+ 157,Exercise 5,418.26,69.31,54,Male,23,177,23.63,Cloudy,2,between 62.476906405 and 75.544407485
188
+ 899,Exercise 7,238.73,62.69,37,Male,20,123,32.11,Sunny,2,less than 62.476906405
189
+ 3455,Exercise 1,467.9,84.28,51,Female,38,105,30.53,Rainy,8,between 75.544407485 and 88.10576654500001
190
+ 1197,Exercise 9,222.67,95.22,33,Male,22,126,22.61,Cloudy,8,greater than 88.10576654500001
191
+ 165,Exercise 6,310.8,94.96,52,Female,35,168,20.68,Rainy,2,greater than 88.10576654500001
192
+ 1980,Exercise 8,314.75,61.81,33,Female,46,107,22.83,Cloudy,1,less than 62.476906405
193
+ 1397,Exercise 6,356.42,79.03,42,Female,22,125,32.02,Sunny,4,between 75.544407485 and 88.10576654500001
194
+ 1405,Exercise 3,241.44,90.05,30,Female,31,168,34.48,Rainy,6,greater than 88.10576654500001
195
+ 2819,Exercise 2,301.99,57.87,46,Female,42,100,22.22,Cloudy,2,less than 62.476906405
196
+ 2447,Exercise 10,309.96,83.31,25,Male,60,100,20.96,Cloudy,7,between 75.544407485 and 88.10576654500001
197
+ 1560,Exercise 2,487.88,91.0,22,Female,27,169,23.16,Cloudy,1,greater than 88.10576654500001
198
+ 3457,Exercise 3,338.6,80.97,52,Female,48,170,34.44,Cloudy,8,between 75.544407485 and 88.10576654500001
199
+ 3527,Exercise 2,321.87,57.69,38,Female,47,104,22.11,Sunny,9,less than 62.476906405
200
+ 3022,Exercise 8,212.97,85.12,19,Female,42,177,22.94,Sunny,5,greater than 88.10576654500001
201
+ 1758,Exercise 4,203.87,59.8,45,Female,59,134,30.6,Cloudy,5,between 62.476906405 and 75.544407485
202
+ 1896,Exercise 4,110.66,88.02,54,Female,21,120,29.34,Cloudy,9,greater than 88.10576654500001
203
+ 1434,Exercise 5,107.34,84.7,57,Male,38,167,18.84,Sunny,7,between 75.544407485 and 88.10576654500001
204
+ 1241,Exercise 2,111.24,74.36,26,Male,24,175,31.89,Cloudy,3,between 75.544407485 and 88.10576654500001
205
+ 1168,Exercise 3,414.49,75.65,54,Female,45,106,31.07,Sunny,5,between 62.476906405 and 75.544407485
206
+ 3105,Exercise 5,179.24,85.27,47,Male,42,153,18.96,Sunny,9,between 75.544407485 and 88.10576654500001
207
+ 1155,Exercise 4,118.93,70.22,29,Female,42,111,32.69,Rainy,5,between 62.476906405 and 75.544407485
208
+ 1899,Exercise 2,229.32,91.57,29,Male,59,146,26.53,Cloudy,8,greater than 88.10576654500001
209
+ 1200,Exercise 4,256.86,78.56,19,Female,53,107,33.48,Cloudy,3,between 75.544407485 and 88.10576654500001
210
+ 9,Exercise 10,195.03,52.73,49,Male,37,161,30.95,Sunny,1,less than 62.476906405
211
+ 3008,Exercise 10,328.65,65.9,57,Male,37,171,29.52,Rainy,6,between 62.476906405 and 75.544407485
212
+ 2233,Exercise 10,404.3,63.63,47,Male,40,146,28.79,Sunny,9,less than 62.476906405
213
+ 1299,Exercise 3,176.22,81.02,29,Male,45,154,29.93,Sunny,3,between 75.544407485 and 88.10576654500001
214
+ 1248,Exercise 2,166.81,70.01,59,Female,26,146,19.62,Sunny,8,between 62.476906405 and 75.544407485
215
+ 1876,Exercise 1,351.83,96.41,41,Female,58,131,18.61,Cloudy,6,greater than 88.10576654500001
216
+ 749,Exercise 3,195.14,97.53,34,Male,55,111,29.6,Sunny,6,greater than 88.10576654500001
217
+ 2853,Exercise 1,325.54,95.06,43,Male,31,127,19.25,Sunny,2,greater than 88.10576654500001
218
+ 530,Exercise 8,108.0,74.13,25,Female,44,138,23.44,Cloudy,8,between 62.476906405 and 75.544407485
219
+ 229,Exercise 5,363.34,89.06,55,Male,52,135,31.23,Cloudy,9,greater than 88.10576654500001
220
+ 1599,Exercise 1,476.47,85.53,31,Female,53,107,26.41,Sunny,10,between 75.544407485 and 88.10576654500001
221
+ 3252,Exercise 8,472.62,86.41,49,Male,53,173,27.0,Rainy,1,between 75.544407485 and 88.10576654500001
222
+ 3462,Exercise 8,497.42,87.88,56,Female,24,137,27.31,Cloudy,7,between 75.544407485 and 88.10576654500001
223
+ 198,Exercise 1,390.11,64.75,31,Male,45,160,26.14,Sunny,4,between 62.476906405 and 75.544407485
224
+ 2965,Exercise 1,127.59,52.21,43,Female,46,109,29.22,Rainy,5,less than 62.476906405
225
+ 3007,Exercise 4,244.63,89.1,37,Male,32,117,23.53,Rainy,9,greater than 88.10576654500001
226
+ 2227,Exercise 4,475.3,98.24,29,Female,25,162,29.14,Sunny,6,greater than 88.10576654500001
227
+ 2988,Exercise 10,278.43,68.69,41,Male,49,157,25.64,Rainy,6,between 62.476906405 and 75.544407485
228
+ 3315,Exercise 7,371.46,89.89,28,Female,22,154,27.51,Rainy,10,greater than 88.10576654500001
229
+ 3672,Exercise 3,114.44,80.26,52,Male,25,155,26.47,Rainy,5,between 75.544407485 and 88.10576654500001
230
+ 294,Exercise 3,310.73,71.08,50,Female,38,173,29.11,Cloudy,4,between 62.476906405 and 75.544407485
231
+ 577,Exercise 8,443.94,90.94,38,Male,31,152,29.4,Cloudy,2,greater than 88.10576654500001
232
+ 851,Exercise 9,319.01,90.33,34,Female,21,105,29.09,Sunny,7,between 75.544407485 and 88.10576654500001
233
+ 635,Exercise 1,330.04,60.87,46,Male,55,108,19.56,Cloudy,9,between 62.476906405 and 75.544407485
234
+ 858,Exercise 10,329.08,94.2,26,Male,58,155,32.48,Sunny,7,greater than 88.10576654500001
235
+ 1081,Exercise 8,202.28,80.19,30,Female,25,139,29.92,Sunny,7,between 62.476906405 and 75.544407485
236
+ 3768,Exercise 8,183.52,67.52,36,Male,47,161,27.09,Rainy,7,between 62.476906405 and 75.544407485
237
+ 3391,Exercise 7,185.02,91.52,46,Female,47,164,23.9,Rainy,4,between 75.544407485 and 88.10576654500001
238
+ 3221,Exercise 5,110.07,96.61,28,Male,39,108,33.62,Cloudy,10,greater than 88.10576654500001
239
+ 1386,Exercise 2,401.51,88.49,44,Male,59,138,26.2,Sunny,1,greater than 88.10576654500001
240
+ 2157,Exercise 9,131.92,58.6,26,Male,27,141,26.6,Rainy,1,less than 62.476906405
241
+ 2870,Exercise 4,371.42,84.55,54,Male,43,173,31.32,Rainy,6,between 75.544407485 and 88.10576654500001
242
+ 1940,Exercise 9,458.97,85.89,41,Female,49,134,28.59,Rainy,5,between 75.544407485 and 88.10576654500001
243
+ 489,Exercise 5,322.22,99.81,41,Male,60,170,33.18,Rainy,10,greater than 88.10576654500001
244
+ 243,Exercise 6,417.04,78.09,39,Male,53,143,34.12,Cloudy,3,between 75.544407485 and 88.10576654500001
245
+ 2417,Exercise 8,367.96,58.95,33,Female,51,168,28.27,Sunny,10,less than 62.476906405
246
+ 1847,Exercise 6,165.16,84.99,33,Male,31,138,24.14,Sunny,1,greater than 88.10576654500001
247
+ 2778,Exercise 3,335.47,91.81,41,Female,60,106,25.29,Cloudy,9,greater than 88.10576654500001
248
+ 651,Exercise 1,346.41,95.61,40,Male,53,148,32.19,Rainy,10,greater than 88.10576654500001
249
+ 3599,Exercise 4,304.6,55.19,52,Male,47,126,32.78,Sunny,2,less than 62.476906405
250
+ 2792,Exercise 9,447.81,53.57,30,Male,39,178,28.08,Cloudy,6,less than 62.476906405
251
+ 2992,Exercise 8,101.95,73.16,21,Female,46,135,27.47,Rainy,3,between 62.476906405 and 75.544407485
252
+ 541,Exercise 9,104.53,64.15,42,Male,47,106,30.56,Cloudy,10,less than 62.476906405
253
+ 1680,Exercise 9,326.58,86.86,55,Male,38,135,22.41,Rainy,3,between 75.544407485 and 88.10576654500001
254
+ 2583,Exercise 9,187.74,90.22,34,Female,36,147,25.89,Sunny,5,between 75.544407485 and 88.10576654500001
255
+ 821,Exercise 10,358.92,84.61,60,Female,56,168,30.09,Cloudy,1,between 75.544407485 and 88.10576654500001
256
+ 323,Exercise 8,181.61,59.1,49,Female,29,115,20.66,Cloudy,8,less than 62.476906405
257
+ 2675,Exercise 4,471.56,51.11,36,Male,27,141,24.57,Cloudy,5,less than 62.476906405
258
+ 3736,Exercise 5,236.18,60.75,38,Female,55,111,25.93,Cloudy,5,less than 62.476906405
259
+ 3564,Exercise 2,384.06,81.7,59,Male,54,155,18.74,Cloudy,9,between 75.544407485 and 88.10576654500001
260
+ 271,Exercise 9,332.22,79.51,18,Female,56,107,31.49,Sunny,1,between 75.544407485 and 88.10576654500001
261
+ 566,Exercise 1,427.6,94.74,34,Female,34,118,23.83,Cloudy,8,greater than 88.10576654500001
262
+ 2061,Exercise 7,361.42,88.65,45,Male,27,162,27.22,Rainy,8,between 75.544407485 and 88.10576654500001
263
+ 3489,Exercise 1,475.04,95.66,57,Female,60,106,32.98,Sunny,5,greater than 88.10576654500001
264
+ 2576,Exercise 5,156.79,64.25,23,Female,44,116,22.51,Cloudy,10,between 62.476906405 and 75.544407485
265
+ 675,Exercise 2,296.73,62.0,43,Male,23,169,31.37,Cloudy,7,less than 62.476906405
266
+ 1657,Exercise 9,368.21,91.14,35,Female,32,150,31.93,Rainy,1,greater than 88.10576654500001
267
+ 142,Exercise 1,474.23,65.58,26,Female,59,107,24.4,Sunny,10,between 62.476906405 and 75.544407485
268
+ 2343,Exercise 10,158.39,75.07,40,Female,54,154,34.27,Rainy,8,between 75.544407485 and 88.10576654500001
269
+ 3546,Exercise 3,210.54,77.61,49,Female,50,112,31.38,Cloudy,6,between 62.476906405 and 75.544407485
270
+ 360,Exercise 7,469.02,71.46,32,Male,52,153,32.98,Sunny,10,between 62.476906405 and 75.544407485
271
+ 2495,Exercise 10,287.72,93.25,48,Male,26,162,22.66,Cloudy,7,greater than 88.10576654500001
272
+ 2682,Exercise 2,261.61,96.97,50,Male,45,119,24.44,Cloudy,4,greater than 88.10576654500001
273
+ 1137,Exercise 4,195.65,84.01,47,Female,43,128,27.48,Cloudy,4,between 75.544407485 and 88.10576654500001
274
+ 2752,Exercise 7,308.84,84.97,19,Female,40,126,26.86,Rainy,9,between 75.544407485 and 88.10576654500001
275
+ 1472,Exercise 3,200.95,59.61,34,Male,41,175,25.15,Cloudy,1,less than 62.476906405
276
+ 913,Exercise 8,433.4,82.23,51,Male,54,104,28.15,Sunny,2,between 75.544407485 and 88.10576654500001
277
+ 1902,Exercise 4,234.66,86.25,54,Male,29,136,24.84,Sunny,8,between 75.544407485 and 88.10576654500001
278
+ 3374,Exercise 5,200.54,61.84,22,Male,43,161,19.78,Cloudy,1,less than 62.476906405
279
+ 304,Exercise 5,285.61,69.04,37,Male,50,135,25.45,Cloudy,6,between 62.476906405 and 75.544407485
280
+ 3638,Exercise 9,299.64,89.0,59,Female,38,123,30.21,Sunny,5,greater than 88.10576654500001
281
+ 1393,Exercise 2,483.94,61.26,30,Male,60,106,22.07,Cloudy,10,less than 62.476906405
282
+ 1850,Exercise 6,291.4,85.9,60,Male,29,107,21.93,Cloudy,6,between 75.544407485 and 88.10576654500001
283
+ 2081,Exercise 2,231.96,88.39,51,Male,48,144,31.87,Rainy,5,greater than 88.10576654500001
284
+ 3604,Exercise 7,188.75,74.65,31,Female,32,176,20.98,Sunny,9,between 62.476906405 and 75.544407485
285
+ 1375,Exercise 1,252.94,69.8,26,Female,59,168,32.98,Rainy,8,between 62.476906405 and 75.544407485
286
+ 1853,Exercise 1,107.0,78.59,19,Male,49,162,26.46,Cloudy,3,between 75.544407485 and 88.10576654500001
287
+ 3183,Exercise 6,481.83,52.78,23,Male,43,143,28.34,Sunny,8,less than 62.476906405
288
+ 2796,Exercise 5,273.66,66.8,47,Female,32,114,29.77,Cloudy,9,between 62.476906405 and 75.544407485
289
+ 716,Exercise 2,224.55,84.77,53,Male,21,177,28.6,Sunny,9,between 75.544407485 and 88.10576654500001
290
+ 197,Exercise 7,497.85,68.93,25,Female,47,110,34.38,Sunny,2,between 62.476906405 and 75.544407485
291
+ 1590,Exercise 8,422.53,50.95,30,Male,38,156,21.98,Sunny,7,less than 62.476906405
292
+ 3538,Exercise 10,335.09,51.57,37,Male,41,149,23.29,Sunny,3,less than 62.476906405
293
+ 680,Exercise 1,494.86,51.57,51,Male,33,148,32.11,Sunny,6,less than 62.476906405
294
+ 697,Exercise 10,312.19,85.61,59,Female,41,133,20.24,Cloudy,1,greater than 88.10576654500001
295
+ 823,Exercise 3,223.98,86.81,53,Male,47,175,32.8,Cloudy,10,greater than 88.10576654500001
296
+ 1431,Exercise 2,278.31,84.84,40,Male,59,116,20.08,Rainy,6,between 75.544407485 and 88.10576654500001
297
+ 1356,Exercise 8,319.09,50.64,33,Male,42,174,20.73,Cloudy,9,less than 62.476906405
298
+ 2874,Exercise 10,183.65,54.77,19,Male,25,162,28.36,Cloudy,5,less than 62.476906405
299
+ 2783,Exercise 1,293.33,89.47,45,Male,27,176,30.84,Rainy,1,greater than 88.10576654500001
300
+ 1142,Exercise 2,237.07,86.53,46,Male,37,147,24.43,Sunny,8,between 75.544407485 and 88.10576654500001
301
+ 3841,Exercise 4,372.25,92.94,24,Female,44,132,32.34,Rainy,5,greater than 88.10576654500001
302
+ 3766,Exercise 5,289.9,70.33,44,Female,41,161,32.35,Sunny,2,between 62.476906405 and 75.544407485
303
+ 643,Exercise 7,386.43,53.45,43,Male,51,152,25.34,Sunny,9,less than 62.476906405
304
+ 69,Exercise 6,455.76,81.17,36,Male,40,118,22.46,Cloudy,1,between 75.544407485 and 88.10576654500001
305
+ 3770,Exercise 4,196.75,57.22,54,Male,51,148,18.78,Sunny,2,less than 62.476906405
306
+ 479,Exercise 5,365.06,80.85,35,Female,48,157,19.4,Sunny,6,between 75.544407485 and 88.10576654500001
307
+ 3515,Exercise 2,438.39,59.03,43,Male,28,158,27.42,Cloudy,3,between 62.476906405 and 75.544407485
308
+ 2386,Exercise 1,289.82,62.31,53,Female,51,160,33.8,Rainy,1,less than 62.476906405
309
+ 1745,Exercise 2,219.94,81.95,30,Female,52,121,19.67,Rainy,2,between 75.544407485 and 88.10576654500001
310
+ 580,Exercise 1,270.94,74.9,22,Male,57,117,31.18,Sunny,7,between 62.476906405 and 75.544407485
311
+ 3386,Exercise 4,499.11,71.92,52,Female,22,111,34.16,Sunny,6,between 62.476906405 and 75.544407485
312
+ 74,Exercise 3,233.34,55.84,58,Male,30,153,24.95,Cloudy,6,less than 62.476906405
313
+ 1424,Exercise 5,334.57,78.67,31,Female,60,117,18.61,Rainy,7,between 75.544407485 and 88.10576654500001
314
+ 2751,Exercise 6,441.78,79.43,58,Female,40,152,21.35,Rainy,9,between 75.544407485 and 88.10576654500001
315
+ 2225,Exercise 6,260.92,94.96,24,Female,41,150,23.6,Cloudy,3,greater than 88.10576654500001
316
+ 275,Exercise 2,152.03,57.54,40,Male,20,138,23.41,Rainy,4,less than 62.476906405
317
+ 994,Exercise 4,162.94,55.92,23,Male,60,128,20.24,Rainy,3,less than 62.476906405
318
+ 3785,Exercise 10,384.13,85.79,50,Male,33,131,21.37,Rainy,8,between 75.544407485 and 88.10576654500001
319
+ 3474,Exercise 8,342.43,60.54,26,Female,30,178,23.83,Cloudy,4,between 62.476906405 and 75.544407485
320
+ 3151,Exercise 10,358.11,63.2,44,Female,26,110,21.72,Rainy,7,less than 62.476906405
321
+ 1467,Exercise 4,256.25,61.48,51,Male,26,140,23.77,Cloudy,5,less than 62.476906405
322
+ 2619,Exercise 9,135.65,57.79,51,Male,22,166,25.41,Rainy,8,less than 62.476906405
323
+ 2887,Exercise 6,273.96,71.07,24,Female,41,152,33.94,Rainy,7,between 62.476906405 and 75.544407485
324
+ 2199,Exercise 2,482.13,65.85,47,Female,44,146,28.44,Rainy,1,between 62.476906405 and 75.544407485
325
+ 914,Exercise 4,269.43,94.76,47,Female,22,130,20.8,Sunny,4,greater than 88.10576654500001
326
+ 2022,Exercise 7,460.86,93.81,55,Male,35,115,19.35,Cloudy,8,greater than 88.10576654500001
327
+ 1968,Exercise 2,451.78,71.32,21,Female,24,129,31.62,Cloudy,2,between 62.476906405 and 75.544407485
328
+ 2248,Exercise 4,392.06,75.22,24,Male,59,138,32.19,Rainy,10,between 62.476906405 and 75.544407485
329
+ 1520,Exercise 2,355.89,70.19,32,Female,32,146,30.13,Rainy,7,between 62.476906405 and 75.544407485
330
+ 62,Exercise 7,318.44,76.5,47,Female,21,164,19.24,Cloudy,4,between 75.544407485 and 88.10576654500001
331
+ 503,Exercise 5,197.21,80.05,18,Male,51,160,33.61,Cloudy,7,between 75.544407485 and 88.10576654500001
332
+ 2291,Exercise 6,462.81,60.1,22,Female,25,101,21.17,Sunny,9,less than 62.476906405
333
+ 3823,Exercise 1,403.58,89.65,41,Male,36,118,25.91,Sunny,3,greater than 88.10576654500001
334
+ 2594,Exercise 10,432.63,72.5,31,Female,44,104,26.44,Cloudy,4,between 75.544407485 and 88.10576654500001
335
+ 2482,Exercise 7,458.64,83.6,39,Female,45,108,31.95,Rainy,1,between 75.544407485 and 88.10576654500001
336
+ 3655,Exercise 5,309.69,65.53,33,Male,20,162,33.34,Cloudy,4,between 62.476906405 and 75.544407485
337
+ 1963,Exercise 5,140.1,59.35,50,Male,22,145,21.1,Cloudy,3,less than 62.476906405
338
+ 3375,Exercise 6,353.29,64.44,25,Male,56,132,24.54,Sunny,5,less than 62.476906405
339
+ 2427,Exercise 2,324.11,52.29,50,Male,43,176,26.13,Cloudy,5,less than 62.476906405
340
+ 900,Exercise 3,491.91,98.36,26,Female,51,176,24.27,Cloudy,2,greater than 88.10576654500001
341
+ 3352,Exercise 8,391.78,77.55,43,Male,40,146,32.06,Cloudy,8,between 62.476906405 and 75.544407485
342
+ 182,Exercise 8,241.21,59.21,31,Female,35,166,20.55,Rainy,5,less than 62.476906405
343
+ 2439,Exercise 5,404.68,78.7,51,Male,40,176,19.05,Sunny,7,between 75.544407485 and 88.10576654500001
344
+ 518,Exercise 1,129.71,51.27,23,Female,43,169,22.15,Sunny,8,less than 62.476906405
345
+ 3334,Exercise 8,484.09,56.13,40,Female,47,167,34.55,Sunny,9,less than 62.476906405
346
+ 1668,Exercise 1,392.6,52.08,25,Female,54,175,18.51,Sunny,1,less than 62.476906405
347
+ 3821,Exercise 4,279.74,64.9,54,Male,50,150,25.22,Cloudy,8,less than 62.476906405
348
+ 1084,Exercise 4,325.66,54.48,44,Female,30,131,29.37,Sunny,9,less than 62.476906405
349
+ 1797,Exercise 7,169.51,81.31,49,Male,22,167,29.58,Sunny,3,between 75.544407485 and 88.10576654500001
350
+ 2207,Exercise 5,377.15,60.19,52,Male,30,137,29.44,Cloudy,7,less than 62.476906405
351
+ 766,Exercise 8,390.08,83.96,22,Female,59,148,23.0,Rainy,10,between 75.544407485 and 88.10576654500001
352
+ 2501,Exercise 2,171.91,93.55,20,Male,31,128,23.79,Rainy,2,greater than 88.10576654500001
353
+ 1554,Exercise 3,127.65,78.02,51,Male,57,103,24.26,Sunny,1,between 62.476906405 and 75.544407485
354
+ 1962,Exercise 2,275.25,67.32,53,Male,27,157,32.07,Sunny,4,between 62.476906405 and 75.544407485
355
+ 98,Exercise 9,168.02,97.43,57,Female,52,107,30.6,Cloudy,5,greater than 88.10576654500001
356
+ 1433,Exercise 2,262.72,86.0,47,Male,57,152,31.14,Sunny,3,greater than 88.10576654500001
357
+ 403,Exercise 3,205.17,92.3,38,Male,43,126,28.35,Rainy,4,greater than 88.10576654500001
358
+ 1054,Exercise 4,199.07,93.67,37,Female,25,140,19.24,Rainy,1,greater than 88.10576654500001
359
+ 2463,Exercise 4,293.75,94.54,46,Male,56,174,25.83,Cloudy,8,greater than 88.10576654500001
360
+ 3641,Exercise 10,276.06,64.02,42,Male,39,174,22.26,Cloudy,2,less than 62.476906405
361
+ 3663,Exercise 7,440.68,50.79,36,Male,49,112,30.4,Cloudy,7,less than 62.476906405
362
+ 2393,Exercise 7,170.22,58.83,51,Female,25,149,29.03,Sunny,10,less than 62.476906405
363
+ 444,Exercise 8,464.25,58.32,35,Female,58,163,33.11,Rainy,4,less than 62.476906405
364
+ 1041,Exercise 5,441.97,80.94,51,Male,21,167,21.76,Sunny,7,between 75.544407485 and 88.10576654500001
365
+ 396,Exercise 7,271.0,53.07,45,Female,37,154,28.12,Rainy,8,less than 62.476906405
366
+ 2947,Exercise 2,354.38,52.91,50,Female,41,108,25.08,Rainy,10,less than 62.476906405
367
+ 340,Exercise 10,288.05,74.43,57,Female,60,115,25.44,Sunny,10,between 62.476906405 and 75.544407485
368
+ 2763,Exercise 10,449.91,82.36,23,Male,21,139,21.95,Cloudy,8,between 75.544407485 and 88.10576654500001
369
+ 3695,Exercise 10,207.69,54.09,54,Female,21,179,31.13,Cloudy,1,less than 62.476906405
370
+ 778,Exercise 6,147.94,52.65,50,Male,44,148,28.26,Sunny,3,less than 62.476906405
371
+ 927,Exercise 4,334.24,69.96,54,Female,53,163,21.24,Rainy,5,between 62.476906405 and 75.544407485
372
+ 2527,Exercise 3,465.9,93.89,21,Female,22,155,29.48,Rainy,7,greater than 88.10576654500001
373
+ 1510,Exercise 4,160.41,68.7,51,Female,37,103,21.07,Rainy,10,between 62.476906405 and 75.544407485
374
+ 2213,Exercise 10,338.09,82.26,56,Female,59,172,33.43,Sunny,3,between 75.544407485 and 88.10576654500001
375
+ 91,Exercise 9,299.82,67.95,28,Male,32,137,24.33,Sunny,8,between 62.476906405 and 75.544407485
376
+ 730,Exercise 8,283.42,60.8,42,Male,25,118,31.57,Cloudy,8,less than 62.476906405
377
+ 1660,Exercise 4,338.62,64.15,34,Male,20,142,27.84,Cloudy,2,less than 62.476906405
378
+ 1517,Exercise 6,497.88,61.41,48,Male,28,164,31.48,Cloudy,8,less than 62.476906405
379
+ 455,Exercise 4,325.58,84.91,52,Male,59,121,27.5,Rainy,7,between 75.544407485 and 88.10576654500001
380
+ 2944,Exercise 3,487.93,78.15,50,Male,33,179,29.08,Cloudy,7,between 75.544407485 and 88.10576654500001
381
+ 1209,Exercise 3,140.29,72.09,38,Female,56,163,21.54,Cloudy,4,between 62.476906405 and 75.544407485
382
+ 2434,Exercise 3,464.37,67.9,18,Male,52,109,32.46,Cloudy,9,between 62.476906405 and 75.544407485
383
+ 3783,Exercise 6,199.34,55.67,44,Male,44,120,30.95,Rainy,1,less than 62.476906405
384
+ 1194,Exercise 8,480.16,66.49,34,Female,23,167,30.05,Cloudy,5,between 62.476906405 and 75.544407485
385
+ 2263,Exercise 8,115.4,58.14,38,Male,30,105,32.68,Sunny,4,less than 62.476906405
386
+ 3405,Exercise 9,242.37,97.75,36,Male,27,110,28.85,Cloudy,2,greater than 88.10576654500001
387
+ 3851,Exercise 2,485.98,87.61,55,Female,38,112,33.37,Rainy,7,between 75.544407485 and 88.10576654500001
388
+ 2035,Exercise 6,196.36,89.91,46,Female,59,161,21.73,Sunny,5,greater than 88.10576654500001
389
+ 2297,Exercise 9,498.42,99.13,33,Male,48,174,23.07,Sunny,7,greater than 88.10576654500001
classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/test.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/train.csv ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/aakashjoshi123-exercise-and-fitness-metrics-dataset/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/abcsds-pokemon/metadata.json ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "abcsds-pokemon",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Type 1",
8
+ "label_values": [
9
+ "Fairy",
10
+ "Bug",
11
+ "Poison",
12
+ "Rock",
13
+ "Flying",
14
+ "Grass",
15
+ "Dark",
16
+ "Ground",
17
+ "Normal",
18
+ "Ice",
19
+ "Water",
20
+ "Ghost",
21
+ "Steel",
22
+ "Fighting",
23
+ "Fire",
24
+ "Electric",
25
+ "Dragon",
26
+ "Psychic"
27
+ ],
28
+ "num_labels": 18,
29
+ "train_samples": 711,
30
+ "test_samples": 89,
31
+ "train_label_distribution": {
32
+ "Ground": 28,
33
+ "Bug": 62,
34
+ "Grass": 63,
35
+ "Normal": 88,
36
+ "Fighting": 24,
37
+ "Rock": 39,
38
+ "Electric": 39,
39
+ "Ghost": 28,
40
+ "Psychic": 51,
41
+ "Dragon": 28,
42
+ "Fire": 46,
43
+ "Poison": 25,
44
+ "Water": 100,
45
+ "Steel": 24,
46
+ "Dark": 27,
47
+ "Ice": 21,
48
+ "Fairy": 15,
49
+ "Flying": 3
50
+ },
51
+ "test_label_distribution": {
52
+ "Ice": 3,
53
+ "Ghost": 4,
54
+ "Fighting": 3,
55
+ "Normal": 10,
56
+ "Fire": 6,
57
+ "Ground": 4,
58
+ "Water": 12,
59
+ "Bug": 7,
60
+ "Psychic": 6,
61
+ "Flying": 1,
62
+ "Grass": 7,
63
+ "Steel": 3,
64
+ "Dark": 4,
65
+ "Dragon": 4,
66
+ "Poison": 3,
67
+ "Rock": 5,
68
+ "Fairy": 2,
69
+ "Electric": 5
70
+ }
71
+ }
classification/unipredict/abcsds-pokemon/test.csv ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #,Name,Type 2,Total,HP,Attack,Defense,Sp Atk,Sp Def,Speed,Generation,Legendary,Type 1
2
+ 478,Froslass,Ghost,480,70,80,70,80,70,110,4,False,Ice
3
+ 355,Duskull,,295,20,40,90,30,90,25,3,False,Ghost
4
+ 619,Mienfoo,,350,45,85,50,55,50,65,5,False,Fighting
5
+ 400,Bibarel,Water,410,79,85,60,55,60,71,4,False,Normal
6
+ 662,Fletchinder,Flying,382,62,73,55,56,52,84,6,False,Fire
7
+ 207,Gligar,Flying,430,65,75,105,35,65,85,2,False,Ground
8
+ 458,Mantyke,Flying,345,45,20,50,60,120,50,4,False,Water
9
+ 712,Bergmite,,304,55,69,85,32,35,28,6,False,Ice
10
+ 514,Simisear,,498,75,98,63,98,63,101,5,False,Fire
11
+ 268,Cascoon,,205,50,35,55,25,25,15,3,False,Bug
12
+ 446,Munchlax,,390,135,85,40,40,85,5,4,False,Normal
13
+ 395,Empoleon,Steel,530,84,86,88,111,101,60,4,False,Water
14
+ 528,Swoobat,Flying,425,67,57,55,77,55,114,5,False,Psychic
15
+ 715,Noivern,Dragon,535,85,70,80,97,80,123,6,False,Flying
16
+ 286,Breloom,Fighting,460,60,130,80,60,60,70,3,False,Grass
17
+ 157,Typhlosion,,534,78,84,78,109,85,100,2,False,Fire
18
+ 497,Serperior,,528,75,75,95,75,95,113,5,False,Grass
19
+ 601,Klinklang,,520,60,100,115,70,85,90,5,False,Steel
20
+ 485,Heatran,Steel,600,91,90,106,130,106,77,4,True,Fire
21
+ 677,Espurr,,355,62,48,54,63,60,68,6,False,Psychic
22
+ 229,Houndoom,Fire,500,75,90,50,110,80,95,2,False,Dark
23
+ 133,Eevee,,325,55,55,50,45,65,55,1,False,Normal
24
+ 331,Cacnea,,335,50,85,40,85,40,35,3,False,Grass
25
+ 359,AbsolMega Absol,,565,65,150,60,115,60,115,3,False,Dark
26
+ 610,Axew,,320,46,87,60,30,40,57,5,False,Dragon
27
+ 298,Azurill,Fairy,190,50,20,40,20,40,20,3,False,Normal
28
+ 71,Victreebel,Poison,490,80,105,65,100,70,70,1,False,Grass
29
+ 89,Muk,,500,105,105,75,65,100,50,1,False,Poison
30
+ 413,WormadamSandy Cloak,Ground,424,60,79,105,59,85,36,4,False,Bug
31
+ 565,Carracosta,Rock,495,74,108,133,83,65,32,5,False,Water
32
+ 711,GourgeistSmall Size,Grass,494,55,85,122,58,75,99,6,False,Ghost
33
+ 244,Entei,,580,115,115,85,90,75,100,2,True,Fire
34
+ 719,DiancieMega Diancie,Fairy,700,50,160,110,160,110,110,6,True,Rock
35
+ 628,Braviary,Flying,510,100,123,75,57,75,80,5,False,Normal
36
+ 173,Cleffa,,218,50,25,28,45,55,15,2,False,Fairy
37
+ 493,Arceus,,720,120,120,120,120,120,120,4,True,Normal
38
+ 42,Golbat,Flying,455,75,80,70,65,75,90,1,False,Poison
39
+ 334,Altaria,Flying,490,75,70,90,70,105,80,3,False,Dragon
40
+ 356,Dusclops,,455,40,70,130,60,130,25,3,False,Ghost
41
+ 572,Minccino,,300,55,50,40,40,40,75,5,False,Normal
42
+ 376,MetagrossMega Metagross,Psychic,700,80,145,150,105,110,110,3,False,Steel
43
+ 334,AltariaMega Altaria,Fairy,590,75,110,110,110,105,80,3,False,Dragon
44
+ 162,Furret,,415,85,76,64,45,55,90,2,False,Normal
45
+ 116,Horsea,,295,30,40,70,70,25,60,1,False,Water
46
+ 539,Sawk,,465,75,125,75,30,75,85,5,False,Fighting
47
+ 703,Carbink,Fairy,500,50,50,150,50,150,50,6,False,Rock
48
+ 179,Mareep,,280,55,40,40,65,45,35,2,False,Electric
49
+ 687,Malamar,Psychic,482,86,92,88,68,75,73,6,False,Dark
50
+ 311,Plusle,,405,60,50,40,85,75,95,3,False,Electric
51
+ 642,ThundurusTherian Forme,Flying,580,79,105,70,145,80,101,5,True,Electric
52
+ 269,Dustox,Poison,385,60,50,70,50,90,65,3,False,Bug
53
+ 360,Wynaut,,260,95,23,48,23,48,23,3,False,Psychic
54
+ 394,Prinplup,,405,64,66,68,81,76,50,4,False,Water
55
+ 87,Dewgong,Ice,475,90,70,80,70,95,70,1,False,Water
56
+ 663,Talonflame,Flying,499,78,81,71,74,69,126,6,False,Fire
57
+ 292,Shedinja,Ghost,236,1,90,45,30,30,40,3,False,Bug
58
+ 646,KyuremWhite Kyurem,Ice,700,125,120,90,170,100,95,5,True,Dragon
59
+ 358,Chimecho,,425,65,50,70,95,80,65,3,False,Psychic
60
+ 693,Clawitzer,,500,71,73,88,120,89,59,6,False,Water
61
+ 479,RotomWash Rotom,Water,520,50,65,107,105,107,86,4,False,Electric
62
+ 600,Klang,,440,60,80,95,70,85,50,5,False,Steel
63
+ 318,Carvanha,Dark,305,45,90,20,65,20,65,3,False,Water
64
+ 3,Venusaur,Poison,525,80,82,83,100,100,80,1,False,Grass
65
+ 328,Trapinch,,290,45,100,45,45,45,10,3,False,Ground
66
+ 210,Granbull,,450,90,120,75,60,60,45,2,False,Fairy
67
+ 203,Girafarig,Psychic,455,70,80,65,90,65,85,2,False,Normal
68
+ 8,Wartortle,,405,59,63,80,65,80,58,1,False,Water
69
+ 246,Larvitar,Ground,300,50,64,50,45,50,41,2,False,Rock
70
+ 420,Cherubi,,275,45,35,45,62,53,35,4,False,Grass
71
+ 632,Durant,Steel,484,58,109,112,48,48,109,5,False,Bug
72
+ 27,Sandshrew,,300,50,75,85,20,30,40,1,False,Ground
73
+ 666,Vivillon,Flying,411,80,52,50,90,50,89,6,False,Bug
74
+ 254,Sceptile,,530,70,85,65,105,85,120,3,False,Grass
75
+ 647,KeldeoOrdinary Forme,Fighting,580,91,72,90,129,90,108,5,False,Water
76
+ 494,Victini,Fire,600,100,100,100,100,100,100,5,True,Psychic
77
+ 633,Deino,Dragon,300,52,65,50,45,50,38,5,False,Dark
78
+ 248,TyranitarMega Tyranitar,Dark,700,100,164,150,95,120,71,2,False,Rock
79
+ 456,Finneon,,330,49,49,56,49,61,66,4,False,Water
80
+ 64,Kadabra,,400,40,35,30,120,70,105,1,False,Psychic
81
+ 569,Garbodor,,474,80,95,82,60,82,75,5,False,Poison
82
+ 552,Krokorok,Dark,351,60,82,45,45,45,74,5,False,Ground
83
+ 477,Dusknoir,,525,45,100,135,65,135,45,4,False,Ghost
84
+ 378,Regice,,580,80,50,100,100,200,50,3,True,Ice
85
+ 247,Pupitar,Ground,410,70,84,70,65,70,51,2,False,Rock
86
+ 174,Igglybuff,Fairy,210,90,30,15,40,20,15,2,False,Normal
87
+ 25,Pikachu,,320,35,55,40,50,50,90,1,False,Electric
88
+ 48,Venonat,Poison,305,60,55,50,40,55,45,1,False,Bug
89
+ 675,Pangoro,Dark,495,95,124,78,69,71,58,6,False,Fighting
90
+ 160,Feraligatr,,530,85,105,100,79,83,78,2,False,Water
classification/unipredict/abcsds-pokemon/test.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The # is 478. The Name is Froslass. The Type 2 is Ghost. The Total is 480. The HP is 70. The Attack is 80. The Defense is 70. The Sp Atk is 80. The Sp Def is 70. The Speed is 110. The Generation is 4. The Legendary is 0.", "label": "Ice", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The # is 355. The Name is Duskull. The Type 2 is unknown. The Total is 295. The HP is 20. The Attack is 40. The Defense is 90. The Sp Atk is 30. The Sp Def is 90. The Speed is 25. The Generation is 3. The Legendary is 0.", "label": "Ghost", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The # is 619. The Name is Mienfoo. The Type 2 is unknown. The Total is 350. The HP is 45. The Attack is 85. The Defense is 50. The Sp Atk is 55. The Sp Def is 50. The Speed is 65. The Generation is 5. The Legendary is 0.", "label": "Fighting", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The # is 400. The Name is Bibarel. The Type 2 is Water. The Total is 410. The HP is 79. The Attack is 85. The Defense is 60. The Sp Atk is 55. The Sp Def is 60. The Speed is 71. The Generation is 4. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The # is 662. The Name is Fletchinder. The Type 2 is Flying. The Total is 382. The HP is 62. The Attack is 73. The Defense is 55. The Sp Atk is 56. The Sp Def is 52. The Speed is 84. The Generation is 6. The Legendary is 0.", "label": "Fire", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The # is 207. The Name is Gligar. The Type 2 is Flying. The Total is 430. The HP is 65. The Attack is 75. The Defense is 105. The Sp Atk is 35. The Sp Def is 65. The Speed is 85. The Generation is 2. The Legendary is 0.", "label": "Ground", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The # is 458. The Name is Mantyke. The Type 2 is Flying. The Total is 345. The HP is 45. The Attack is 20. The Defense is 50. The Sp Atk is 60. The Sp Def is 120. The Speed is 50. The Generation is 4. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The # is 712. The Name is Bergmite. The Type 2 is unknown. The Total is 304. The HP is 55. The Attack is 69. The Defense is 85. The Sp Atk is 32. The Sp Def is 35. The Speed is 28. The Generation is 6. The Legendary is 0.", "label": "Ice", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The # is 514. The Name is Simisear. The Type 2 is unknown. The Total is 498. The HP is 75. The Attack is 98. The Defense is 63. The Sp Atk is 98. The Sp Def is 63. The Speed is 101. The Generation is 5. The Legendary is 0.", "label": "Fire", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The # is 268. The Name is Cascoon. The Type 2 is unknown. The Total is 205. The HP is 50. The Attack is 35. The Defense is 55. The Sp Atk is 25. The Sp Def is 25. The Speed is 15. The Generation is 3. The Legendary is 0.", "label": "Bug", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The # is 446. The Name is Munchlax. The Type 2 is unknown. The Total is 390. The HP is 135. The Attack is 85. The Defense is 40. The Sp Atk is 40. The Sp Def is 85. The Speed is 5. The Generation is 4. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The # is 395. The Name is Empoleon. The Type 2 is Steel. The Total is 530. The HP is 84. The Attack is 86. The Defense is 88. The Sp Atk is 111. The Sp Def is 101. The Speed is 60. The Generation is 4. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The # is 528. The Name is Swoobat. The Type 2 is Flying. The Total is 425. The HP is 67. The Attack is 57. The Defense is 55. The Sp Atk is 77. The Sp Def is 55. The Speed is 114. The Generation is 5. The Legendary is 0.", "label": "Psychic", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The # is 715. The Name is Noivern. The Type 2 is Dragon. The Total is 535. The HP is 85. The Attack is 70. The Defense is 80. The Sp Atk is 97. The Sp Def is 80. The Speed is 123. The Generation is 6. The Legendary is 0.", "label": "Flying", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The # is 286. The Name is Breloom. The Type 2 is Fighting. The Total is 460. The HP is 60. The Attack is 130. The Defense is 80. The Sp Atk is 60. The Sp Def is 60. The Speed is 70. The Generation is 3. The Legendary is 0.", "label": "Grass", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The # is 157. The Name is Typhlosion. The Type 2 is unknown. The Total is 534. The HP is 78. The Attack is 84. The Defense is 78. The Sp Atk is 109. The Sp Def is 85. The Speed is 100. The Generation is 2. The Legendary is 0.", "label": "Fire", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The # is 497. The Name is Serperior. The Type 2 is unknown. The Total is 528. The HP is 75. The Attack is 75. The Defense is 95. The Sp Atk is 75. The Sp Def is 95. The Speed is 113. The Generation is 5. The Legendary is 0.", "label": "Grass", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The # is 601. The Name is Klinklang. The Type 2 is unknown. The Total is 520. The HP is 60. The Attack is 100. The Defense is 115. The Sp Atk is 70. The Sp Def is 85. The Speed is 90. The Generation is 5. The Legendary is 0.", "label": "Steel", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The # is 485. The Name is Heatran. The Type 2 is Steel. The Total is 600. The HP is 91. The Attack is 90. The Defense is 106. The Sp Atk is 130. The Sp Def is 106. The Speed is 77. The Generation is 4. The Legendary is 1.", "label": "Fire", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The # is 677. The Name is Espurr. The Type 2 is unknown. The Total is 355. The HP is 62. The Attack is 48. The Defense is 54. The Sp Atk is 63. The Sp Def is 60. The Speed is 68. The Generation is 6. The Legendary is 0.", "label": "Psychic", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The # is 229. The Name is Houndoom. The Type 2 is Fire. The Total is 500. The HP is 75. The Attack is 90. The Defense is 50. The Sp Atk is 110. The Sp Def is 80. The Speed is 95. The Generation is 2. The Legendary is 0.", "label": "Dark", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The # is 133. The Name is Eevee. The Type 2 is unknown. The Total is 325. The HP is 55. The Attack is 55. The Defense is 50. The Sp Atk is 45. The Sp Def is 65. The Speed is 55. The Generation is 1. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The # is 331. The Name is Cacnea. The Type 2 is unknown. The Total is 335. The HP is 50. The Attack is 85. The Defense is 40. The Sp Atk is 85. The Sp Def is 40. The Speed is 35. The Generation is 3. The Legendary is 0.", "label": "Grass", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The # is 359. The Name is AbsolMega Absol. The Type 2 is unknown. The Total is 565. The HP is 65. The Attack is 150. The Defense is 60. The Sp Atk is 115. The Sp Def is 60. The Speed is 115. The Generation is 3. The Legendary is 0.", "label": "Dark", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The # is 610. The Name is Axew. The Type 2 is unknown. The Total is 320. The HP is 46. The Attack is 87. The Defense is 60. The Sp Atk is 30. The Sp Def is 40. The Speed is 57. The Generation is 5. The Legendary is 0.", "label": "Dragon", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The # is 298. The Name is Azurill. The Type 2 is Fairy. The Total is 190. The HP is 50. The Attack is 20. The Defense is 40. The Sp Atk is 20. The Sp Def is 40. The Speed is 20. The Generation is 3. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The # is 71. The Name is Victreebel. The Type 2 is Poison. The Total is 490. The HP is 80. The Attack is 105. The Defense is 65. The Sp Atk is 100. The Sp Def is 70. The Speed is 70. The Generation is 1. The Legendary is 0.", "label": "Grass", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The # is 89. The Name is Muk. The Type 2 is unknown. The Total is 500. The HP is 105. The Attack is 105. The Defense is 75. The Sp Atk is 65. The Sp Def is 100. The Speed is 50. The Generation is 1. The Legendary is 0.", "label": "Poison", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The # is 413. The Name is WormadamSandy Cloak. The Type 2 is Ground. The Total is 424. The HP is 60. The Attack is 79. The Defense is 105. The Sp Atk is 59. The Sp Def is 85. The Speed is 36. The Generation is 4. The Legendary is 0.", "label": "Bug", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The # is 565. The Name is Carracosta. The Type 2 is Rock. The Total is 495. The HP is 74. The Attack is 108. The Defense is 133. The Sp Atk is 83. The Sp Def is 65. The Speed is 32. The Generation is 5. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The # is 711. The Name is GourgeistSmall Size. The Type 2 is Grass. The Total is 494. The HP is 55. The Attack is 85. The Defense is 122. The Sp Atk is 58. The Sp Def is 75. The Speed is 99. The Generation is 6. The Legendary is 0.", "label": "Ghost", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The # is 244. The Name is Entei. The Type 2 is unknown. The Total is 580. The HP is 115. The Attack is 115. The Defense is 85. The Sp Atk is 90. The Sp Def is 75. The Speed is 100. The Generation is 2. The Legendary is 1.", "label": "Fire", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The # is 719. The Name is DiancieMega Diancie. The Type 2 is Fairy. The Total is 700. The HP is 50. The Attack is 160. The Defense is 110. The Sp Atk is 160. The Sp Def is 110. The Speed is 110. The Generation is 6. The Legendary is 1.", "label": "Rock", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The # is 628. The Name is Braviary. The Type 2 is Flying. The Total is 510. The HP is 100. The Attack is 123. The Defense is 75. The Sp Atk is 57. The Sp Def is 75. The Speed is 80. The Generation is 5. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The # is 173. The Name is Cleffa. The Type 2 is unknown. The Total is 218. The HP is 50. The Attack is 25. The Defense is 28. The Sp Atk is 45. The Sp Def is 55. The Speed is 15. The Generation is 2. The Legendary is 0.", "label": "Fairy", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The # is 493. The Name is Arceus. The Type 2 is unknown. The Total is 720. The HP is 120. The Attack is 120. The Defense is 120. The Sp Atk is 120. The Sp Def is 120. The Speed is 120. The Generation is 4. The Legendary is 1.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The # is 42. The Name is Golbat. The Type 2 is Flying. The Total is 455. The HP is 75. The Attack is 80. The Defense is 70. The Sp Atk is 65. The Sp Def is 75. The Speed is 90. The Generation is 1. The Legendary is 0.", "label": "Poison", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The # is 334. The Name is Altaria. The Type 2 is Flying. The Total is 490. The HP is 75. The Attack is 70. The Defense is 90. The Sp Atk is 70. The Sp Def is 105. The Speed is 80. The Generation is 3. The Legendary is 0.", "label": "Dragon", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The # is 356. The Name is Dusclops. The Type 2 is unknown. The Total is 455. The HP is 40. The Attack is 70. The Defense is 130. The Sp Atk is 60. The Sp Def is 130. The Speed is 25. The Generation is 3. The Legendary is 0.", "label": "Ghost", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The # is 572. The Name is Minccino. The Type 2 is unknown. The Total is 300. The HP is 55. The Attack is 50. The Defense is 40. The Sp Atk is 40. The Sp Def is 40. The Speed is 75. The Generation is 5. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The # is 376. The Name is MetagrossMega Metagross. The Type 2 is Psychic. The Total is 700. The HP is 80. The Attack is 145. The Defense is 150. The Sp Atk is 105. The Sp Def is 110. The Speed is 110. The Generation is 3. The Legendary is 0.", "label": "Steel", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The # is 334. The Name is AltariaMega Altaria. The Type 2 is Fairy. The Total is 590. The HP is 75. The Attack is 110. The Defense is 110. The Sp Atk is 110. The Sp Def is 105. The Speed is 80. The Generation is 3. The Legendary is 0.", "label": "Dragon", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The # is 162. The Name is Furret. The Type 2 is unknown. The Total is 415. The HP is 85. The Attack is 76. The Defense is 64. The Sp Atk is 45. The Sp Def is 55. The Speed is 90. The Generation is 2. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The # is 116. The Name is Horsea. The Type 2 is unknown. The Total is 295. The HP is 30. The Attack is 40. The Defense is 70. The Sp Atk is 70. The Sp Def is 25. The Speed is 60. The Generation is 1. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The # is 539. The Name is Sawk. The Type 2 is unknown. The Total is 465. The HP is 75. The Attack is 125. The Defense is 75. The Sp Atk is 30. The Sp Def is 75. The Speed is 85. The Generation is 5. The Legendary is 0.", "label": "Fighting", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The # is 703. The Name is Carbink. The Type 2 is Fairy. The Total is 500. The HP is 50. The Attack is 50. The Defense is 150. The Sp Atk is 50. The Sp Def is 150. The Speed is 50. The Generation is 6. The Legendary is 0.", "label": "Rock", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The # is 179. The Name is Mareep. The Type 2 is unknown. The Total is 280. The HP is 55. The Attack is 40. The Defense is 40. The Sp Atk is 65. The Sp Def is 45. The Speed is 35. The Generation is 2. The Legendary is 0.", "label": "Electric", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The # is 687. The Name is Malamar. The Type 2 is Psychic. The Total is 482. The HP is 86. The Attack is 92. The Defense is 88. The Sp Atk is 68. The Sp Def is 75. The Speed is 73. The Generation is 6. The Legendary is 0.", "label": "Dark", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The # is 311. The Name is Plusle. The Type 2 is unknown. The Total is 405. The HP is 60. The Attack is 50. The Defense is 40. The Sp Atk is 85. The Sp Def is 75. The Speed is 95. The Generation is 3. The Legendary is 0.", "label": "Electric", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The # is 642. The Name is ThundurusTherian Forme. The Type 2 is Flying. The Total is 580. The HP is 79. The Attack is 105. The Defense is 70. The Sp Atk is 145. The Sp Def is 80. The Speed is 101. The Generation is 5. The Legendary is 1.", "label": "Electric", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The # is 269. The Name is Dustox. The Type 2 is Poison. The Total is 385. The HP is 60. The Attack is 50. The Defense is 70. The Sp Atk is 50. The Sp Def is 90. The Speed is 65. The Generation is 3. The Legendary is 0.", "label": "Bug", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The # is 360. The Name is Wynaut. The Type 2 is unknown. The Total is 260. The HP is 95. The Attack is 23. The Defense is 48. The Sp Atk is 23. The Sp Def is 48. The Speed is 23. The Generation is 3. The Legendary is 0.", "label": "Psychic", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The # is 394. The Name is Prinplup. The Type 2 is unknown. The Total is 405. The HP is 64. The Attack is 66. The Defense is 68. The Sp Atk is 81. The Sp Def is 76. The Speed is 50. The Generation is 4. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The # is 87. The Name is Dewgong. The Type 2 is Ice. The Total is 475. The HP is 90. The Attack is 70. The Defense is 80. The Sp Atk is 70. The Sp Def is 95. The Speed is 70. The Generation is 1. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The # is 663. The Name is Talonflame. The Type 2 is Flying. The Total is 499. The HP is 78. The Attack is 81. The Defense is 71. The Sp Atk is 74. The Sp Def is 69. The Speed is 126. The Generation is 6. The Legendary is 0.", "label": "Fire", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The # is 292. The Name is Shedinja. The Type 2 is Ghost. The Total is 236. The HP is 1. The Attack is 90. The Defense is 45. The Sp Atk is 30. The Sp Def is 30. The Speed is 40. The Generation is 3. The Legendary is 0.", "label": "Bug", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The # is 646. The Name is KyuremWhite Kyurem. The Type 2 is Ice. The Total is 700. The HP is 125. The Attack is 120. The Defense is 90. The Sp Atk is 170. The Sp Def is 100. The Speed is 95. The Generation is 5. The Legendary is 1.", "label": "Dragon", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The # is 358. The Name is Chimecho. The Type 2 is unknown. The Total is 425. The HP is 65. The Attack is 50. The Defense is 70. The Sp Atk is 95. The Sp Def is 80. The Speed is 65. The Generation is 3. The Legendary is 0.", "label": "Psychic", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The # is 693. The Name is Clawitzer. The Type 2 is unknown. The Total is 500. The HP is 71. The Attack is 73. The Defense is 88. The Sp Atk is 120. The Sp Def is 89. The Speed is 59. The Generation is 6. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The # is 479. The Name is RotomWash Rotom. The Type 2 is Water. The Total is 520. The HP is 50. The Attack is 65. The Defense is 107. The Sp Atk is 105. The Sp Def is 107. The Speed is 86. The Generation is 4. The Legendary is 0.", "label": "Electric", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The # is 600. The Name is Klang. The Type 2 is unknown. The Total is 440. The HP is 60. The Attack is 80. The Defense is 95. The Sp Atk is 70. The Sp Def is 85. The Speed is 50. The Generation is 5. The Legendary is 0.", "label": "Steel", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The # is 318. The Name is Carvanha. The Type 2 is Dark. The Total is 305. The HP is 45. The Attack is 90. The Defense is 20. The Sp Atk is 65. The Sp Def is 20. The Speed is 65. The Generation is 3. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The # is 3. The Name is Venusaur. The Type 2 is Poison. The Total is 525. The HP is 80. The Attack is 82. The Defense is 83. The Sp Atk is 100. The Sp Def is 100. The Speed is 80. The Generation is 1. The Legendary is 0.", "label": "Grass", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The # is 328. The Name is Trapinch. The Type 2 is unknown. The Total is 290. The HP is 45. The Attack is 100. The Defense is 45. The Sp Atk is 45. The Sp Def is 45. The Speed is 10. The Generation is 3. The Legendary is 0.", "label": "Ground", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The # is 210. The Name is Granbull. The Type 2 is unknown. The Total is 450. The HP is 90. The Attack is 120. The Defense is 75. The Sp Atk is 60. The Sp Def is 60. The Speed is 45. The Generation is 2. The Legendary is 0.", "label": "Fairy", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The # is 203. The Name is Girafarig. The Type 2 is Psychic. The Total is 455. The HP is 70. The Attack is 80. The Defense is 65. The Sp Atk is 90. The Sp Def is 65. The Speed is 85. The Generation is 2. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The # is 8. The Name is Wartortle. The Type 2 is unknown. The Total is 405. The HP is 59. The Attack is 63. The Defense is 80. The Sp Atk is 65. The Sp Def is 80. The Speed is 58. The Generation is 1. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The # is 246. The Name is Larvitar. The Type 2 is Ground. The Total is 300. The HP is 50. The Attack is 64. The Defense is 50. The Sp Atk is 45. The Sp Def is 50. The Speed is 41. The Generation is 2. The Legendary is 0.", "label": "Rock", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The # is 420. The Name is Cherubi. The Type 2 is unknown. The Total is 275. The HP is 45. The Attack is 35. The Defense is 45. The Sp Atk is 62. The Sp Def is 53. The Speed is 35. The Generation is 4. The Legendary is 0.", "label": "Grass", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The # is 632. The Name is Durant. The Type 2 is Steel. The Total is 484. The HP is 58. The Attack is 109. The Defense is 112. The Sp Atk is 48. The Sp Def is 48. The Speed is 109. The Generation is 5. The Legendary is 0.", "label": "Bug", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The # is 27. The Name is Sandshrew. The Type 2 is unknown. The Total is 300. The HP is 50. The Attack is 75. The Defense is 85. The Sp Atk is 20. The Sp Def is 30. The Speed is 40. The Generation is 1. The Legendary is 0.", "label": "Ground", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The # is 666. The Name is Vivillon. The Type 2 is Flying. The Total is 411. The HP is 80. The Attack is 52. The Defense is 50. The Sp Atk is 90. The Sp Def is 50. The Speed is 89. The Generation is 6. The Legendary is 0.", "label": "Bug", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The # is 254. The Name is Sceptile. The Type 2 is unknown. The Total is 530. The HP is 70. The Attack is 85. The Defense is 65. The Sp Atk is 105. The Sp Def is 85. The Speed is 120. The Generation is 3. The Legendary is 0.", "label": "Grass", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The # is 647. The Name is KeldeoOrdinary Forme. The Type 2 is Fighting. The Total is 580. The HP is 91. The Attack is 72. The Defense is 90. The Sp Atk is 129. The Sp Def is 90. The Speed is 108. The Generation is 5. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The # is 494. The Name is Victini. The Type 2 is Fire. The Total is 600. The HP is 100. The Attack is 100. The Defense is 100. The Sp Atk is 100. The Sp Def is 100. The Speed is 100. The Generation is 5. The Legendary is 1.", "label": "Psychic", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The # is 633. The Name is Deino. The Type 2 is Dragon. The Total is 300. The HP is 52. The Attack is 65. The Defense is 50. The Sp Atk is 45. The Sp Def is 50. The Speed is 38. The Generation is 5. The Legendary is 0.", "label": "Dark", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The # is 248. The Name is TyranitarMega Tyranitar. The Type 2 is Dark. The Total is 700. The HP is 100. The Attack is 164. The Defense is 150. The Sp Atk is 95. The Sp Def is 120. The Speed is 71. The Generation is 2. The Legendary is 0.", "label": "Rock", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The # is 456. The Name is Finneon. The Type 2 is unknown. The Total is 330. The HP is 49. The Attack is 49. The Defense is 56. The Sp Atk is 49. The Sp Def is 61. The Speed is 66. The Generation is 4. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The # is 64. The Name is Kadabra. The Type 2 is unknown. The Total is 400. The HP is 40. The Attack is 35. The Defense is 30. The Sp Atk is 120. The Sp Def is 70. The Speed is 105. The Generation is 1. The Legendary is 0.", "label": "Psychic", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The # is 569. The Name is Garbodor. The Type 2 is unknown. The Total is 474. The HP is 80. The Attack is 95. The Defense is 82. The Sp Atk is 60. The Sp Def is 82. The Speed is 75. The Generation is 5. The Legendary is 0.", "label": "Poison", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The # is 552. The Name is Krokorok. The Type 2 is Dark. The Total is 351. The HP is 60. The Attack is 82. The Defense is 45. The Sp Atk is 45. The Sp Def is 45. The Speed is 74. The Generation is 5. The Legendary is 0.", "label": "Ground", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The # is 477. The Name is Dusknoir. The Type 2 is unknown. The Total is 525. The HP is 45. The Attack is 100. The Defense is 135. The Sp Atk is 65. The Sp Def is 135. The Speed is 45. The Generation is 4. The Legendary is 0.", "label": "Ghost", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The # is 378. The Name is Regice. The Type 2 is unknown. The Total is 580. The HP is 80. The Attack is 50. The Defense is 100. The Sp Atk is 100. The Sp Def is 200. The Speed is 50. The Generation is 3. The Legendary is 1.", "label": "Ice", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The # is 247. The Name is Pupitar. The Type 2 is Ground. The Total is 410. The HP is 70. The Attack is 84. The Defense is 70. The Sp Atk is 65. The Sp Def is 70. The Speed is 51. The Generation is 2. The Legendary is 0.", "label": "Rock", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The # is 174. The Name is Igglybuff. The Type 2 is Fairy. The Total is 210. The HP is 90. The Attack is 30. The Defense is 15. The Sp Atk is 40. The Sp Def is 20. The Speed is 15. The Generation is 2. The Legendary is 0.", "label": "Normal", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The # is 25. The Name is Pikachu. The Type 2 is unknown. The Total is 320. The HP is 35. The Attack is 55. The Defense is 40. The Sp Atk is 50. The Sp Def is 50. The Speed is 90. The Generation is 1. The Legendary is 0.", "label": "Electric", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The # is 48. The Name is Venonat. The Type 2 is Poison. The Total is 305. The HP is 60. The Attack is 55. The Defense is 50. The Sp Atk is 40. The Sp Def is 55. The Speed is 45. The Generation is 1. The Legendary is 0.", "label": "Bug", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The # is 675. The Name is Pangoro. The Type 2 is Dark. The Total is 495. The HP is 95. The Attack is 124. The Defense is 78. The Sp Atk is 69. The Sp Def is 71. The Speed is 58. The Generation is 6. The Legendary is 0.", "label": "Fighting", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The # is 160. The Name is Feraligatr. The Type 2 is unknown. The Total is 530. The HP is 85. The Attack is 105. The Defense is 100. The Sp Atk is 79. The Sp Def is 83. The Speed is 78. The Generation is 2. The Legendary is 0.", "label": "Water", "dataset": "abcsds-pokemon", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/abcsds-pokemon/train.csv ADDED
@@ -0,0 +1,712 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #,Name,Type 2,Total,HP,Attack,Defense,Sp Atk,Sp Def,Speed,Generation,Legendary,Type 1
2
+ 553,Krookodile,Dark,519,95,117,80,65,70,92,5,False,Ground
3
+ 542,Leavanny,Grass,500,75,103,80,70,80,92,5,False,Bug
4
+ 460,Abomasnow,Ice,494,90,92,75,92,85,60,4,False,Grass
5
+ 428,LopunnyMega Lopunny,Fighting,580,65,136,94,54,96,135,4,False,Normal
6
+ 296,Makuhita,,237,72,60,30,20,30,25,3,False,Fighting
7
+ 140,Kabuto,Water,355,30,80,90,55,45,55,1,False,Rock
8
+ 180,Flaaffy,,365,70,55,55,80,60,45,2,False,Electric
9
+ 214,Heracross,Fighting,500,80,125,75,40,95,85,2,False,Bug
10
+ 609,Chandelure,Fire,520,60,55,90,145,90,80,5,False,Ghost
11
+ 15,Beedrill,Poison,395,65,90,40,45,80,75,1,False,Bug
12
+ 65,Alakazam,,500,55,50,45,135,95,120,1,False,Psychic
13
+ 101,Electrode,,480,60,50,70,80,80,140,1,False,Electric
14
+ 465,Tangrowth,,535,100,100,125,110,50,50,4,False,Grass
15
+ 386,DeoxysNormal Forme,,600,50,150,50,150,50,150,3,True,Psychic
16
+ 620,Mienshao,,510,65,125,60,95,60,105,5,False,Fighting
17
+ 695,Heliolisk,Normal,481,62,55,52,109,94,109,6,False,Electric
18
+ 547,Whimsicott,Fairy,480,60,67,85,77,75,116,5,False,Grass
19
+ 372,Shelgon,,420,65,95,100,60,50,50,3,False,Dragon
20
+ 710,PumpkabooAverage Size,Grass,335,49,66,70,44,55,51,6,False,Ghost
21
+ 299,Nosepass,,375,30,45,135,45,90,30,3,False,Rock
22
+ 156,Quilava,,405,58,64,58,80,65,80,2,False,Fire
23
+ 106,Hitmonlee,,455,50,120,53,35,110,87,1,False,Fighting
24
+ 597,Ferroseed,Steel,305,44,50,91,24,86,10,5,False,Grass
25
+ 506,Lillipup,,275,45,60,45,25,45,55,5,False,Normal
26
+ 316,Gulpin,,302,70,43,53,43,53,40,3,False,Poison
27
+ 122,Mr. Mime,Fairy,460,40,45,65,100,120,90,1,False,Psychic
28
+ 370,Luvdisc,,330,43,30,55,40,65,97,3,False,Water
29
+ 121,Starmie,Psychic,520,60,75,85,100,85,115,1,False,Water
30
+ 495,Snivy,,308,45,45,55,45,55,63,5,False,Grass
31
+ 694,Helioptile,Normal,289,44,38,33,61,43,70,6,False,Electric
32
+ 327,Spinda,,360,60,60,60,60,60,60,3,False,Normal
33
+ 103,Exeggutor,Psychic,520,95,95,85,125,65,55,1,False,Grass
34
+ 437,Bronzong,Psychic,500,67,89,116,79,116,33,4,False,Steel
35
+ 343,Baltoy,Psychic,300,40,40,55,40,70,55,3,False,Ground
36
+ 323,Camerupt,Ground,460,70,100,70,105,75,40,3,False,Fire
37
+ 306,Aggron,Rock,530,70,110,180,60,60,50,3,False,Steel
38
+ 457,Lumineon,,460,69,69,76,69,86,91,4,False,Water
39
+ 574,Gothita,,290,45,30,50,55,65,45,5,False,Psychic
40
+ 342,Crawdaunt,Dark,468,63,120,85,90,55,55,3,False,Water
41
+ 350,Milotic,,540,95,60,79,100,125,81,3,False,Water
42
+ 433,Chingling,,285,45,30,50,65,50,45,4,False,Psychic
43
+ 529,Drilbur,,328,60,85,40,30,45,68,5,False,Ground
44
+ 13,Weedle,Poison,195,40,35,30,20,20,50,1,False,Bug
45
+ 70,Weepinbell,Poison,390,65,90,50,85,45,55,1,False,Grass
46
+ 422,Shellos,,325,76,48,48,57,62,34,4,False,Water
47
+ 701,Hawlucha,Flying,500,78,92,75,74,63,118,6,False,Fighting
48
+ 324,Torkoal,,470,70,85,140,85,70,20,3,False,Fire
49
+ 480,Uxie,,580,75,75,130,75,130,95,4,True,Psychic
50
+ 691,Dragalge,Dragon,494,65,75,90,97,123,44,6,False,Poison
51
+ 382,KyogrePrimal Kyogre,,770,100,150,90,180,160,90,3,True,Water
52
+ 407,Roserade,Poison,515,60,70,65,125,105,90,4,False,Grass
53
+ 681,AegislashBlade Forme,Ghost,520,60,150,50,150,50,60,6,False,Steel
54
+ 626,Bouffalant,,490,95,110,95,40,95,55,5,False,Normal
55
+ 624,Pawniard,Steel,340,45,85,70,40,40,60,5,False,Dark
56
+ 643,Reshiram,Fire,680,100,120,100,150,120,90,5,True,Dragon
57
+ 51,Dugtrio,,405,35,80,50,50,70,120,1,False,Ground
58
+ 517,Munna,,292,76,25,45,67,55,24,5,False,Psychic
59
+ 540,Sewaddle,Grass,310,45,53,70,40,60,42,5,False,Bug
60
+ 4,Charmander,,309,39,52,43,60,50,65,1,False,Fire
61
+ 365,Walrein,Water,530,110,80,90,95,90,65,3,False,Ice
62
+ 214,HeracrossMega Heracross,Fighting,600,80,185,115,40,105,75,2,False,Bug
63
+ 274,Nuzleaf,Dark,340,70,70,40,60,40,60,3,False,Grass
64
+ 217,Ursaring,,500,90,130,75,75,75,55,2,False,Normal
65
+ 448,LucarioMega Lucario,Steel,625,70,145,88,140,70,112,4,False,Fighting
66
+ 642,ThundurusIncarnate Forme,Flying,580,79,115,70,125,80,111,5,True,Electric
67
+ 257,BlazikenMega Blaziken,Fighting,630,80,160,80,130,80,100,3,False,Fire
68
+ 82,Magneton,Steel,465,50,60,95,120,70,70,1,False,Electric
69
+ 403,Shinx,,263,45,65,34,40,34,45,4,False,Electric
70
+ 226,Mantine,Flying,465,65,40,70,80,140,70,2,False,Water
71
+ 463,Lickilicky,,515,110,85,95,80,95,50,4,False,Normal
72
+ 81,Magnemite,Steel,325,25,35,70,95,55,45,1,False,Electric
73
+ 409,Rampardos,,495,97,165,60,65,50,58,4,False,Rock
74
+ 235,Smeargle,,250,55,20,35,20,45,75,2,False,Normal
75
+ 464,Rhyperior,Rock,535,115,140,130,55,55,40,4,False,Ground
76
+ 460,AbomasnowMega Abomasnow,Ice,594,90,132,105,132,105,30,4,False,Grass
77
+ 483,Dialga,Dragon,680,100,120,120,150,100,90,4,True,Steel
78
+ 77,Ponyta,,410,50,85,55,65,65,90,1,False,Fire
79
+ 555,DarmanitanStandard Mode,,480,105,140,55,30,55,95,5,False,Fire
80
+ 28,Sandslash,,450,75,100,110,45,55,65,1,False,Ground
81
+ 489,Phione,,480,80,80,80,80,80,80,4,False,Water
82
+ 255,Torchic,,310,45,60,40,70,50,45,3,False,Fire
83
+ 696,Tyrunt,Dragon,362,58,89,77,45,45,48,6,False,Rock
84
+ 98,Krabby,,325,30,105,90,25,25,50,1,False,Water
85
+ 314,Illumise,,400,65,47,55,73,75,85,3,False,Bug
86
+ 123,Scyther,Flying,500,70,110,80,55,80,105,1,False,Bug
87
+ 530,Excadrill,Steel,508,110,135,60,50,65,88,5,False,Ground
88
+ 413,WormadamTrash Cloak,Steel,424,60,69,95,69,95,36,4,False,Bug
89
+ 578,Duosion,,370,65,40,50,125,60,30,5,False,Psychic
90
+ 474,Porygon-Z,,535,85,80,70,135,75,90,4,False,Normal
91
+ 124,Jynx,Psychic,455,65,50,35,115,95,95,1,False,Ice
92
+ 498,Tepig,,308,65,63,45,45,45,45,5,False,Fire
93
+ 397,Staravia,Flying,340,55,75,50,40,40,80,4,False,Normal
94
+ 559,Scraggy,Fighting,348,50,75,70,35,70,48,5,False,Dark
95
+ 245,Suicune,,580,100,75,115,90,115,85,2,True,Water
96
+ 337,Lunatone,Psychic,440,70,55,65,95,85,70,3,False,Rock
97
+ 17,Pidgeotto,Flying,349,63,60,55,50,50,71,1,False,Normal
98
+ 634,Zweilous,Dragon,420,72,85,70,65,70,58,5,False,Dark
99
+ 88,Grimer,,325,80,80,50,40,50,25,1,False,Poison
100
+ 279,Pelipper,Flying,430,60,50,100,85,70,65,3,False,Water
101
+ 526,Gigalith,,515,85,135,130,60,80,25,5,False,Rock
102
+ 357,Tropius,Flying,460,99,68,83,72,87,51,3,False,Grass
103
+ 470,Leafeon,,525,65,110,130,60,65,95,4,False,Grass
104
+ 130,Gyarados,Flying,540,95,125,79,60,100,81,1,False,Water
105
+ 664,Scatterbug,,200,38,35,40,27,25,35,6,False,Bug
106
+ 686,Inkay,Psychic,288,53,54,53,37,46,45,6,False,Dark
107
+ 479,RotomMow Rotom,Grass,520,50,65,107,105,107,86,4,False,Electric
108
+ 181,Ampharos,,510,90,75,85,115,90,55,2,False,Electric
109
+ 169,Crobat,Flying,535,85,90,80,70,80,130,2,False,Poison
110
+ 499,Pignite,Fighting,418,90,93,55,70,55,55,5,False,Fire
111
+ 429,Mismagius,,495,60,60,60,105,105,105,4,False,Ghost
112
+ 272,Ludicolo,Grass,480,80,70,70,90,100,70,3,False,Water
113
+ 187,Hoppip,Flying,250,35,35,40,35,55,50,2,False,Grass
114
+ 550,Basculin,,460,70,92,65,80,55,98,5,False,Water
115
+ 16,Pidgey,Flying,251,40,45,40,35,35,56,1,False,Normal
116
+ 175,Togepi,,245,35,20,65,40,65,20,2,False,Fairy
117
+ 698,Amaura,Ice,362,77,59,50,67,63,46,6,False,Rock
118
+ 651,Quilladin,,405,61,78,95,56,58,57,6,False,Grass
119
+ 211,Qwilfish,Poison,430,65,95,75,55,55,85,2,False,Water
120
+ 315,Roselia,Poison,400,50,60,45,100,80,65,3,False,Grass
121
+ 262,Mightyena,,420,70,90,70,60,60,70,3,False,Dark
122
+ 705,Sliggoo,,452,68,75,53,83,113,60,6,False,Dragon
123
+ 237,Hitmontop,,455,50,95,95,35,110,70,2,False,Fighting
124
+ 94,Gengar,Poison,500,60,65,60,130,75,110,1,False,Ghost
125
+ 524,Roggenrola,,280,55,75,85,25,25,15,5,False,Rock
126
+ 374,Beldum,Psychic,300,40,55,80,35,60,30,3,False,Steel
127
+ 369,Relicanth,Rock,485,100,90,130,45,65,55,3,False,Water
128
+ 720,HoopaHoopa Unbound,Dark,680,80,160,60,170,130,80,6,True,Psychic
129
+ 50,Diglett,,265,10,55,25,35,45,95,1,False,Ground
130
+ 380,Latias,Psychic,600,80,80,90,110,130,110,3,True,Dragon
131
+ 240,Magby,,365,45,75,37,70,55,83,2,False,Fire
132
+ 503,Samurott,,528,95,100,85,108,70,70,5,False,Water
133
+ 129,Magikarp,,200,20,10,55,15,20,80,1,False,Water
134
+ 392,Infernape,Fighting,534,76,104,71,104,71,108,4,False,Fire
135
+ 386,DeoxysSpeed Forme,,600,50,95,90,95,90,180,3,True,Psychic
136
+ 14,Kakuna,Poison,205,45,25,50,25,25,35,1,False,Bug
137
+ 449,Hippopotas,,330,68,72,78,38,42,32,4,False,Ground
138
+ 384,RayquazaMega Rayquaza,Flying,780,105,180,100,180,100,115,3,True,Dragon
139
+ 509,Purrloin,,281,41,50,37,50,37,66,5,False,Dark
140
+ 80,Slowbro,Psychic,490,95,75,110,100,80,30,1,False,Water
141
+ 105,Marowak,,425,60,80,110,50,80,45,1,False,Ground
142
+ 376,Metagross,Psychic,600,80,135,130,95,90,70,3,False,Steel
143
+ 544,Whirlipede,Poison,360,40,55,99,40,79,47,5,False,Bug
144
+ 338,Solrock,Psychic,440,70,95,85,55,65,70,3,False,Rock
145
+ 490,Manaphy,,600,100,100,100,100,100,100,4,False,Water
146
+ 289,Slaking,,670,150,160,100,95,65,100,3,False,Normal
147
+ 230,Kingdra,Dragon,540,75,95,95,95,95,85,2,False,Water
148
+ 307,Meditite,Psychic,280,30,40,55,40,55,60,3,False,Fighting
149
+ 178,Xatu,Flying,470,65,75,70,95,70,95,2,False,Psychic
150
+ 671,Florges,,552,78,65,68,112,154,75,6,False,Fairy
151
+ 288,Vigoroth,,440,80,80,80,55,55,90,3,False,Normal
152
+ 428,Lopunny,,480,65,76,84,54,96,105,4,False,Normal
153
+ 117,Seadra,,440,55,65,95,95,45,85,1,False,Water
154
+ 573,Cinccino,,470,75,95,60,65,60,115,5,False,Normal
155
+ 18,PidgeotMega Pidgeot,Flying,579,83,80,80,135,80,121,1,False,Normal
156
+ 534,Conkeldurr,,505,105,140,95,55,65,45,5,False,Fighting
157
+ 295,Exploud,,490,104,91,63,91,73,68,3,False,Normal
158
+ 432,Purugly,,452,71,82,64,64,59,112,4,False,Normal
159
+ 362,Glalie,,480,80,80,80,80,80,80,3,False,Ice
160
+ 229,HoundoomMega Houndoom,Fire,600,75,90,90,140,90,115,2,False,Dark
161
+ 47,Parasect,Grass,405,60,95,80,60,80,30,1,False,Bug
162
+ 492,ShayminSky Forme,Flying,600,100,103,75,120,75,127,4,True,Grass
163
+ 320,Wailmer,,400,130,70,35,70,35,60,3,False,Water
164
+ 281,Kirlia,Fairy,278,38,35,35,65,55,50,3,False,Psychic
165
+ 321,Wailord,,500,170,90,45,90,45,60,3,False,Water
166
+ 404,Luxio,,363,60,85,49,60,49,60,4,False,Electric
167
+ 373,Salamence,Flying,600,95,135,80,110,80,100,3,False,Dragon
168
+ 323,CameruptMega Camerupt,Ground,560,70,120,100,145,105,20,3,False,Fire
169
+ 484,Palkia,Dragon,680,90,120,100,150,120,100,4,True,Water
170
+ 398,Staraptor,Flying,485,85,120,70,50,60,100,4,False,Normal
171
+ 46,Paras,Grass,285,35,70,55,45,55,25,1,False,Bug
172
+ 692,Clauncher,,330,50,53,62,58,63,44,6,False,Water
173
+ 649,Genesect,Steel,600,71,120,95,120,95,99,5,False,Bug
174
+ 532,Timburr,,305,75,80,55,25,35,35,5,False,Fighting
175
+ 614,Beartic,,485,95,110,80,70,80,50,5,False,Ice
176
+ 430,Honchkrow,Flying,505,100,125,52,105,52,71,4,False,Dark
177
+ 561,Sigilyph,Flying,490,72,58,80,103,80,97,5,False,Psychic
178
+ 115,KangaskhanMega Kangaskhan,,590,105,125,100,60,100,100,1,False,Normal
179
+ 640,Virizion,Fighting,580,91,90,72,90,129,108,5,True,Grass
180
+ 93,Haunter,Poison,405,45,50,45,115,55,95,1,False,Ghost
181
+ 35,Clefairy,,323,70,45,48,60,65,35,1,False,Fairy
182
+ 182,Bellossom,,490,75,80,95,90,100,50,2,False,Grass
183
+ 265,Wurmple,,195,45,45,35,20,30,20,3,False,Bug
184
+ 546,Cottonee,Fairy,280,40,27,60,37,50,66,5,False,Grass
185
+ 354,Banette,,455,64,115,65,83,63,65,3,False,Ghost
186
+ 721,Volcanion,Water,600,80,110,120,130,90,70,6,True,Fire
187
+ 38,Ninetales,,505,73,76,75,81,100,100,1,False,Fire
188
+ 238,Smoochum,Psychic,305,45,30,15,85,65,65,2,False,Ice
189
+ 527,Woobat,Flying,313,55,45,43,55,43,72,5,False,Psychic
190
+ 249,Lugia,Flying,680,106,90,130,90,154,110,2,True,Psychic
191
+ 349,Feebas,,200,20,15,20,10,55,80,3,False,Water
192
+ 76,Golem,Ground,495,80,120,130,55,65,45,1,False,Rock
193
+ 354,BanetteMega Banette,,555,64,165,75,93,83,75,3,False,Ghost
194
+ 709,Trevenant,Grass,474,85,110,76,65,82,56,6,False,Ghost
195
+ 264,Linoone,,420,78,70,61,50,61,100,3,False,Normal
196
+ 440,Happiny,,220,100,5,5,15,65,30,4,False,Normal
197
+ 218,Slugma,,250,40,40,40,70,40,20,2,False,Fire
198
+ 305,Lairon,Rock,430,60,90,140,50,50,40,3,False,Steel
199
+ 424,Ambipom,,482,75,100,66,60,66,115,4,False,Normal
200
+ 202,Wobbuffet,,405,190,33,58,33,58,33,2,False,Psychic
201
+ 136,Flareon,,525,65,130,60,95,110,65,1,False,Fire
202
+ 413,WormadamPlant Cloak,Grass,424,60,59,85,79,105,36,4,False,Bug
203
+ 488,Cresselia,,600,120,70,120,75,130,85,4,False,Psychic
204
+ 589,Escavalier,Steel,495,70,135,105,60,105,20,5,False,Bug
205
+ 176,Togetic,Flying,405,55,40,85,80,105,40,2,False,Fairy
206
+ 641,TornadusTherian Forme,,580,79,100,80,110,90,121,5,True,Flying
207
+ 461,Weavile,Ice,510,70,120,65,45,85,125,4,False,Dark
208
+ 425,Drifloon,Flying,348,90,50,34,60,44,70,4,False,Ghost
209
+ 84,Doduo,Flying,310,35,85,45,35,35,75,1,False,Normal
210
+ 225,Delibird,Flying,330,45,55,45,65,45,75,2,False,Ice
211
+ 18,Pidgeot,Flying,479,83,80,75,70,70,101,1,False,Normal
212
+ 303,MawileMega Mawile,Fairy,480,50,105,125,55,95,50,3,False,Steel
213
+ 172,Pichu,,205,20,40,15,35,35,60,2,False,Electric
214
+ 678,MeowsticFemale,,466,74,48,76,83,81,104,6,False,Psychic
215
+ 208,SteelixMega Steelix,Ground,610,75,125,230,55,95,30,2,False,Steel
216
+ 593,Jellicent,Ghost,480,100,60,70,85,105,60,5,False,Water
217
+ 631,Heatmor,,484,85,97,66,105,66,65,5,False,Fire
218
+ 592,Frillish,Ghost,335,55,40,50,65,85,40,5,False,Water
219
+ 333,Swablu,Flying,310,45,40,60,40,75,50,3,False,Normal
220
+ 204,Pineco,,290,50,65,90,35,35,15,2,False,Bug
221
+ 138,Omanyte,Water,355,35,40,100,90,55,35,1,False,Rock
222
+ 414,Mothim,Flying,424,70,94,50,94,50,66,4,False,Bug
223
+ 139,Omastar,Water,495,70,60,125,115,70,55,1,False,Rock
224
+ 564,Tirtouga,Rock,355,54,78,103,53,45,22,5,False,Water
225
+ 90,Shellder,,305,30,65,100,45,25,40,1,False,Water
226
+ 332,Cacturne,Dark,475,70,115,60,115,60,55,3,False,Grass
227
+ 57,Primeape,,455,65,105,60,60,70,95,1,False,Fighting
228
+ 200,Misdreavus,,435,60,60,60,85,85,85,2,False,Ghost
229
+ 447,Riolu,,285,40,70,40,35,40,60,4,False,Fighting
230
+ 388,Grotle,,405,75,89,85,55,65,36,4,False,Grass
231
+ 111,Rhyhorn,Rock,345,80,85,95,30,30,25,1,False,Ground
232
+ 258,Mudkip,,310,50,70,50,50,50,40,3,False,Water
233
+ 646,Kyurem,Ice,660,125,130,90,130,90,95,5,True,Dragon
234
+ 100,Voltorb,,330,40,30,50,55,55,100,1,False,Electric
235
+ 627,Rufflet,Flying,350,70,83,50,37,50,60,5,False,Normal
236
+ 382,Kyogre,,670,100,100,90,150,140,90,3,True,Water
237
+ 15,BeedrillMega Beedrill,Poison,495,65,150,40,15,80,145,1,False,Bug
238
+ 190,Aipom,,360,55,70,55,40,55,85,2,False,Normal
239
+ 83,Farfetch'd,Flying,352,52,65,55,58,62,60,1,False,Normal
240
+ 368,Gorebyss,,485,55,84,105,114,75,52,3,False,Water
241
+ 584,Vanilluxe,,535,71,95,85,110,95,79,5,False,Ice
242
+ 188,Skiploom,Flying,340,55,45,50,45,65,80,2,False,Grass
243
+ 168,Ariados,Poison,390,70,90,70,60,60,40,2,False,Bug
244
+ 212,ScizorMega Scizor,Steel,600,70,150,140,65,100,75,2,False,Bug
245
+ 707,Klefki,Fairy,470,57,80,91,80,87,75,6,False,Steel
246
+ 294,Loudred,,360,84,71,43,71,43,48,3,False,Normal
247
+ 448,Lucario,Steel,525,70,110,70,115,70,90,4,False,Fighting
248
+ 380,LatiasMega Latias,Psychic,700,80,100,120,140,150,110,3,True,Dragon
249
+ 436,Bronzor,Psychic,300,57,24,86,24,86,23,4,False,Steel
250
+ 608,Lampent,Fire,370,60,40,60,95,60,55,5,False,Ghost
251
+ 487,GiratinaAltered Forme,Dragon,680,150,100,120,100,120,90,4,True,Ghost
252
+ 551,Sandile,Dark,292,50,72,35,35,35,65,5,False,Ground
253
+ 629,Vullaby,Flying,370,70,55,75,45,65,60,5,False,Dark
254
+ 653,Fennekin,,307,40,45,40,62,60,60,6,False,Fire
255
+ 114,Tangela,,435,65,55,115,100,40,60,1,False,Grass
256
+ 381,LatiosMega Latios,Psychic,700,80,130,100,160,120,110,3,True,Dragon
257
+ 313,Volbeat,,400,65,73,55,47,75,85,3,False,Bug
258
+ 282,Gardevoir,Fairy,518,68,65,65,125,115,80,3,False,Psychic
259
+ 598,Ferrothorn,Steel,489,74,94,131,54,116,20,5,False,Grass
260
+ 359,Absol,,465,65,130,60,75,60,75,3,False,Dark
261
+ 213,Shuckle,Rock,505,20,10,230,10,230,5,2,False,Bug
262
+ 716,Xerneas,,680,126,131,95,131,98,99,6,True,Fairy
263
+ 541,Swadloon,Grass,380,55,63,90,50,80,42,5,False,Bug
264
+ 260,SwampertMega Swampert,Ground,635,100,150,110,95,110,70,3,False,Water
265
+ 533,Gurdurr,,405,85,105,85,40,50,40,5,False,Fighting
266
+ 699,Aurorus,Ice,521,123,77,72,99,92,58,6,False,Rock
267
+ 44,Gloom,Poison,395,60,65,70,85,75,40,1,False,Grass
268
+ 297,Hariyama,,474,144,120,60,40,60,50,3,False,Fighting
269
+ 501,Oshawott,,308,55,55,45,63,45,45,5,False,Water
270
+ 91,Cloyster,Ice,525,50,95,180,85,45,70,1,False,Water
271
+ 386,DeoxysAttack Forme,,600,50,180,20,180,20,150,3,True,Psychic
272
+ 405,Luxray,,523,80,120,79,95,79,70,4,False,Electric
273
+ 45,Vileplume,Poison,490,75,80,85,110,90,50,1,False,Grass
274
+ 636,Larvesta,Fire,360,55,85,55,50,55,60,5,False,Bug
275
+ 596,Galvantula,Electric,472,70,77,60,97,60,108,5,False,Bug
276
+ 387,Turtwig,,318,55,68,64,45,55,31,4,False,Grass
277
+ 233,Porygon2,,515,85,80,90,105,95,60,2,False,Normal
278
+ 236,Tyrogue,,210,35,35,35,35,35,35,2,False,Fighting
279
+ 12,Butterfree,Flying,395,60,45,50,90,80,70,1,False,Bug
280
+ 659,Bunnelby,,237,38,36,38,32,36,57,6,False,Normal
281
+ 612,Haxorus,,540,76,147,90,60,70,97,5,False,Dragon
282
+ 445,Garchomp,Ground,600,108,130,95,80,85,102,4,False,Dragon
283
+ 549,Lilligant,,480,70,60,75,110,75,90,5,False,Grass
284
+ 293,Whismur,,240,64,51,23,51,23,28,3,False,Normal
285
+ 283,Surskit,Water,269,40,30,32,50,52,65,3,False,Bug
286
+ 145,Zapdos,Flying,580,90,90,85,125,90,100,1,True,Electric
287
+ 192,Sunflora,,425,75,75,55,105,85,30,2,False,Grass
288
+ 191,Sunkern,,180,30,30,30,30,30,30,2,False,Grass
289
+ 216,Teddiursa,,330,60,80,50,50,50,40,2,False,Normal
290
+ 300,Skitty,,260,50,45,45,35,35,50,3,False,Normal
291
+ 23,Ekans,,288,35,60,44,40,54,55,1,False,Poison
292
+ 685,Slurpuff,,480,82,80,86,85,75,72,6,False,Fairy
293
+ 443,Gible,Ground,300,58,70,45,40,45,42,4,False,Dragon
294
+ 366,Clamperl,,345,35,64,85,74,55,32,3,False,Water
295
+ 373,SalamenceMega Salamence,Flying,700,95,145,130,120,90,120,3,False,Dragon
296
+ 152,Chikorita,,318,45,49,65,49,65,45,2,False,Grass
297
+ 104,Cubone,,320,50,50,95,40,50,35,1,False,Ground
298
+ 438,Bonsly,,290,50,80,95,10,45,10,4,False,Rock
299
+ 221,Piloswine,Ground,450,100,100,80,60,60,50,2,False,Ice
300
+ 260,Swampert,Ground,535,100,110,90,85,90,60,3,False,Water
301
+ 475,Gallade,Fighting,518,68,125,65,65,115,80,4,False,Psychic
302
+ 594,Alomomola,,470,165,75,80,40,45,65,5,False,Water
303
+ 375,Metang,Psychic,420,60,75,100,55,80,50,3,False,Steel
304
+ 92,Gastly,Poison,310,30,35,30,100,35,80,1,False,Ghost
305
+ 518,Musharna,,487,116,55,85,107,95,29,5,False,Psychic
306
+ 280,Ralts,Fairy,198,28,25,25,45,35,40,3,False,Psychic
307
+ 548,Petilil,,280,45,35,50,70,50,30,5,False,Grass
308
+ 285,Shroomish,,295,60,40,60,40,60,35,3,False,Grass
309
+ 54,Psyduck,,320,50,52,48,65,50,55,1,False,Water
310
+ 241,Miltank,,490,95,80,105,40,70,100,2,False,Normal
311
+ 515,Panpour,,316,50,53,48,53,48,64,5,False,Water
312
+ 24,Arbok,,438,60,85,69,65,79,80,1,False,Poison
313
+ 582,Vanillite,,305,36,50,50,65,60,44,5,False,Ice
314
+ 604,Eelektross,,515,85,115,80,105,80,50,5,False,Electric
315
+ 471,Glaceon,,525,65,60,110,130,95,65,4,False,Ice
316
+ 454,Toxicroak,Fighting,490,83,106,65,86,65,85,4,False,Poison
317
+ 335,Zangoose,,458,73,115,60,60,60,90,3,False,Normal
318
+ 108,Lickitung,,385,90,55,75,60,75,30,1,False,Normal
319
+ 616,Shelmet,,305,50,40,85,40,65,25,5,False,Bug
320
+ 512,Simisage,,498,75,98,63,98,63,101,5,False,Grass
321
+ 85,Dodrio,Flying,460,60,110,70,60,60,100,1,False,Normal
322
+ 459,Snover,Ice,334,60,62,50,62,60,40,4,False,Grass
323
+ 700,Sylveon,,525,95,65,65,110,130,60,6,False,Fairy
324
+ 212,Scizor,Steel,500,70,130,100,55,80,65,2,False,Bug
325
+ 199,Slowking,Psychic,490,95,75,80,100,110,30,2,False,Water
326
+ 419,Floatzel,,495,85,105,55,85,50,115,4,False,Water
327
+ 39,Jigglypuff,Fairy,270,115,45,20,45,25,20,1,False,Normal
328
+ 29,Nidoran♀,,275,55,47,52,40,40,41,1,False,Poison
329
+ 511,Pansage,,316,50,53,48,53,48,64,5,False,Grass
330
+ 256,Combusken,Fighting,405,60,85,60,85,60,55,3,False,Fire
331
+ 381,Latios,Psychic,600,80,90,80,130,110,110,3,True,Dragon
332
+ 466,Electivire,,540,75,123,67,95,85,95,4,False,Electric
333
+ 115,Kangaskhan,,490,105,95,80,40,80,90,1,False,Normal
334
+ 263,Zigzagoon,,240,38,30,41,30,41,60,3,False,Normal
335
+ 567,Archeops,Flying,567,75,140,65,112,65,110,5,False,Rock
336
+ 135,Jolteon,,525,65,65,60,110,95,130,1,False,Electric
337
+ 60,Poliwag,,300,40,50,40,40,40,90,1,False,Water
338
+ 351,Castform,,420,70,70,70,70,70,70,3,False,Normal
339
+ 205,Forretress,Steel,465,75,90,140,60,60,40,2,False,Bug
340
+ 112,Rhydon,Rock,485,105,130,120,45,45,40,1,False,Ground
341
+ 669,Flabébé,,303,44,38,39,61,79,42,6,False,Fairy
342
+ 303,Mawile,Fairy,380,50,85,85,55,55,50,3,False,Steel
343
+ 66,Machop,,305,70,80,50,35,35,35,1,False,Fighting
344
+ 309,Electrike,,295,40,45,40,65,40,65,3,False,Electric
345
+ 384,Rayquaza,Flying,680,105,150,90,150,90,95,3,True,Dragon
346
+ 682,Spritzee,,341,78,52,60,63,65,23,6,False,Fairy
347
+ 196,Espeon,,525,65,65,60,130,95,110,2,False,Psychic
348
+ 61,Poliwhirl,,385,65,65,65,50,50,90,1,False,Water
349
+ 80,SlowbroMega Slowbro,Psychic,590,95,75,180,130,80,30,1,False,Water
350
+ 170,Chinchou,Electric,330,75,38,38,56,56,67,2,False,Water
351
+ 678,MeowsticMale,,466,74,48,76,83,81,104,6,False,Psychic
352
+ 201,Unown,,336,48,72,48,72,48,48,2,False,Psychic
353
+ 242,Blissey,,540,255,10,10,75,135,55,2,False,Normal
354
+ 273,Seedot,,220,40,40,50,30,30,30,3,False,Grass
355
+ 644,Zekrom,Electric,680,100,150,120,120,100,90,5,True,Dragon
356
+ 69,Bellsprout,Poison,300,50,75,35,70,30,40,1,False,Grass
357
+ 579,Reuniclus,,490,110,65,75,125,85,30,5,False,Psychic
358
+ 507,Herdier,,370,65,80,65,35,65,60,5,False,Normal
359
+ 617,Accelgor,,495,80,70,40,100,60,145,5,False,Bug
360
+ 165,Ledyba,Flying,265,40,20,30,40,80,55,2,False,Bug
361
+ 345,Lileep,Grass,355,66,41,77,61,87,23,3,False,Rock
362
+ 37,Vulpix,,299,38,41,40,50,65,65,1,False,Fire
363
+ 257,Blaziken,Fighting,530,80,120,70,110,70,80,3,False,Fire
364
+ 708,Phantump,Grass,309,43,70,48,50,60,38,6,False,Ghost
365
+ 282,GardevoirMega Gardevoir,Fairy,618,68,85,65,165,135,100,3,False,Psychic
366
+ 341,Corphish,,308,43,80,65,50,35,35,3,False,Water
367
+ 301,Delcatty,,380,70,65,65,55,55,70,3,False,Normal
368
+ 120,Staryu,,340,30,45,55,70,55,85,1,False,Water
369
+ 554,Darumaka,,315,70,90,45,15,45,50,5,False,Fire
370
+ 197,Umbreon,,525,95,65,110,60,130,65,2,False,Dark
371
+ 65,AlakazamMega Alakazam,,590,55,50,65,175,95,150,1,False,Psychic
372
+ 352,Kecleon,,440,60,90,70,60,120,40,3,False,Normal
373
+ 254,SceptileMega Sceptile,Dragon,630,70,110,75,145,85,145,3,False,Grass
374
+ 317,Swalot,,467,100,73,83,73,83,55,3,False,Poison
375
+ 153,Bayleef,,405,60,62,80,63,80,60,2,False,Grass
376
+ 473,Mamoswine,Ground,530,110,130,80,70,60,80,4,False,Ice
377
+ 150,MewtwoMega Mewtwo Y,,780,106,150,70,194,120,140,1,True,Psychic
378
+ 379,Registeel,,580,80,75,150,75,150,50,3,True,Steel
379
+ 641,TornadusIncarnate Forme,,580,79,115,70,125,80,111,5,True,Flying
380
+ 287,Slakoth,,280,60,60,60,35,35,30,3,False,Normal
381
+ 586,Sawsbuck,Grass,475,80,100,70,60,70,95,5,False,Normal
382
+ 657,Frogadier,,405,54,63,52,83,56,97,6,False,Water
383
+ 660,Diggersby,Ground,423,85,56,77,50,77,78,6,False,Normal
384
+ 73,Tentacruel,Poison,515,80,70,65,80,120,100,1,False,Water
385
+ 385,Jirachi,Psychic,600,100,100,100,100,100,100,3,True,Steel
386
+ 702,Dedenne,Fairy,431,67,58,57,81,67,101,6,False,Electric
387
+ 243,Raikou,,580,90,85,75,115,100,115,2,True,Electric
388
+ 383,Groudon,,670,100,150,140,100,90,90,3,True,Ground
389
+ 150,Mewtwo,,680,106,110,90,154,90,130,1,True,Psychic
390
+ 97,Hypno,,483,85,73,70,73,115,67,1,False,Psychic
391
+ 10,Caterpie,,195,45,30,35,20,20,45,1,False,Bug
392
+ 704,Goomy,,300,45,50,35,55,75,40,6,False,Dragon
393
+ 252,Treecko,,310,40,45,35,65,55,70,3,False,Grass
394
+ 126,Magmar,,495,65,95,57,100,85,93,1,False,Fire
395
+ 562,Yamask,,303,38,30,85,55,65,30,5,False,Ghost
396
+ 611,Fraxure,,410,66,117,70,40,50,67,5,False,Dragon
397
+ 570,Zorua,,330,40,65,40,80,40,65,5,False,Dark
398
+ 344,Claydol,Psychic,500,60,70,105,70,120,75,3,False,Ground
399
+ 475,GalladeMega Gallade,Fighting,618,68,165,95,65,115,110,4,False,Psychic
400
+ 228,Houndour,Fire,330,45,60,30,80,50,65,2,False,Dark
401
+ 7,Squirtle,,314,44,48,65,50,64,43,1,False,Water
402
+ 267,Beautifly,Flying,395,60,70,50,100,50,65,3,False,Bug
403
+ 9,Blastoise,,530,79,83,100,85,105,78,1,False,Water
404
+ 621,Druddigon,,485,77,120,90,60,90,48,5,False,Dragon
405
+ 513,Pansear,,316,50,53,48,53,48,64,5,False,Fire
406
+ 557,Dwebble,Rock,325,50,65,85,35,35,55,5,False,Bug
407
+ 141,Kabutops,Water,495,60,115,105,65,70,80,1,False,Rock
408
+ 625,Bisharp,Steel,490,65,125,100,60,70,70,5,False,Dark
409
+ 575,Gothorita,,390,60,45,70,75,85,55,5,False,Psychic
410
+ 602,Tynamo,,275,35,55,40,45,40,60,5,False,Electric
411
+ 34,Nidoking,Ground,505,81,102,77,85,75,85,1,False,Poison
412
+ 142,AerodactylMega Aerodactyl,Flying,615,80,135,85,70,95,150,1,False,Rock
413
+ 278,Wingull,Flying,270,40,30,30,55,30,85,3,False,Water
414
+ 577,Solosis,,290,45,30,40,105,50,20,5,False,Psychic
415
+ 146,Moltres,Flying,580,90,100,90,125,85,90,1,True,Fire
416
+ 110,Weezing,,490,65,90,120,85,70,60,1,False,Poison
417
+ 670,Floette,,371,54,45,47,75,98,52,6,False,Fairy
418
+ 5,Charmeleon,,405,58,64,58,80,65,80,1,False,Fire
419
+ 63,Abra,,310,25,20,15,105,55,90,1,False,Psychic
420
+ 399,Bidoof,,250,59,45,40,35,40,31,4,False,Normal
421
+ 576,Gothitelle,,490,70,55,95,95,110,65,5,False,Psychic
422
+ 519,Pidove,Flying,264,50,55,50,36,30,43,5,False,Normal
423
+ 639,Terrakion,Fighting,580,91,129,90,72,90,108,5,True,Rock
424
+ 679,Honedge,Ghost,325,45,80,100,35,37,28,6,False,Steel
425
+ 198,Murkrow,Flying,405,60,85,42,85,42,91,2,False,Dark
426
+ 622,Golett,Ghost,303,59,74,50,35,50,35,5,False,Ground
427
+ 53,Persian,,440,65,70,60,65,65,115,1,False,Normal
428
+ 232,Donphan,,500,90,120,120,60,60,50,2,False,Ground
429
+ 189,Jumpluff,Flying,460,75,55,70,55,95,110,2,False,Grass
430
+ 435,Skuntank,Dark,479,103,93,67,71,61,84,4,False,Poison
431
+ 290,Nincada,Ground,266,31,45,90,30,30,40,3,False,Bug
432
+ 406,Budew,Poison,280,40,30,35,50,70,55,4,False,Grass
433
+ 206,Dunsparce,,415,100,70,70,65,65,45,2,False,Normal
434
+ 521,Unfezant,Flying,488,80,115,80,65,55,93,5,False,Normal
435
+ 710,PumpkabooLarge Size,Grass,335,54,66,70,44,55,46,6,False,Ghost
436
+ 164,Noctowl,Flying,442,100,50,50,76,96,70,2,False,Normal
437
+ 571,Zoroark,,510,60,105,60,120,60,105,5,False,Dark
438
+ 68,Machamp,,505,90,130,80,65,85,55,1,False,Fighting
439
+ 504,Patrat,,255,45,55,39,35,39,42,5,False,Normal
440
+ 209,Snubbull,,300,60,80,50,40,40,30,2,False,Fairy
441
+ 339,Barboach,Ground,288,50,48,43,46,41,60,3,False,Water
442
+ 171,Lanturn,Electric,460,125,58,58,76,76,67,2,False,Water
443
+ 718,Zygarde50% Forme,Ground,600,108,100,121,81,95,95,6,True,Dragon
444
+ 630,Mandibuzz,Flying,510,110,65,105,55,95,80,5,False,Dark
445
+ 310,ManectricMega Manectric,,575,70,75,80,135,80,135,3,False,Electric
446
+ 468,Togekiss,Flying,545,85,50,95,120,115,80,4,False,Fairy
447
+ 543,Venipede,Poison,260,30,45,59,30,39,57,5,False,Bug
448
+ 270,Lotad,Grass,220,40,30,30,40,50,30,3,False,Water
449
+ 239,Elekid,,360,45,63,37,65,55,95,2,False,Electric
450
+ 21,Spearow,Flying,262,40,60,30,31,31,70,1,False,Normal
451
+ 149,Dragonite,Flying,600,91,134,95,100,100,80,1,False,Dragon
452
+ 291,Ninjask,Flying,456,61,90,45,50,50,160,3,False,Bug
453
+ 386,DeoxysDefense Forme,,600,50,70,160,70,160,90,3,True,Psychic
454
+ 118,Goldeen,,320,45,67,60,35,50,63,1,False,Water
455
+ 137,Porygon,,395,65,60,70,85,75,40,1,False,Normal
456
+ 668,Pyroar,Normal,507,86,68,72,109,66,106,6,False,Fire
457
+ 427,Buneary,,350,55,66,44,44,56,85,4,False,Normal
458
+ 127,PinsirMega Pinsir,Flying,600,65,155,120,65,90,105,1,False,Bug
459
+ 363,Spheal,Water,290,70,40,50,55,50,25,3,False,Ice
460
+ 336,Seviper,,458,73,100,60,100,60,65,3,False,Poison
461
+ 158,Totodile,,314,50,65,64,44,48,43,2,False,Water
462
+ 67,Machoke,,405,80,100,70,50,60,45,1,False,Fighting
463
+ 130,GyaradosMega Gyarados,Dark,640,95,155,109,70,130,81,1,False,Water
464
+ 555,DarmanitanZen Mode,Psychic,540,105,30,105,140,105,55,5,False,Fire
465
+ 9,BlastoiseMega Blastoise,,630,79,103,120,135,115,78,1,False,Water
466
+ 142,Aerodactyl,Flying,515,80,105,65,60,75,130,1,False,Rock
467
+ 531,Audino,,445,103,60,86,60,86,50,5,False,Normal
468
+ 689,Barbaracle,Water,500,72,105,115,54,86,68,6,False,Rock
469
+ 599,Klink,,300,40,55,70,45,60,30,5,False,Steel
470
+ 154,Meganium,,525,80,82,100,83,100,80,2,False,Grass
471
+ 33,Nidorino,,365,61,72,57,55,55,65,1,False,Poison
472
+ 49,Venomoth,Poison,450,70,65,60,90,75,90,1,False,Bug
473
+ 487,GiratinaOrigin Forme,Dragon,680,150,120,100,120,100,90,4,True,Ghost
474
+ 706,Goodra,,600,90,100,70,110,150,80,6,False,Dragon
475
+ 538,Throh,,465,120,100,85,30,85,45,5,False,Fighting
476
+ 467,Magmortar,,540,75,95,67,125,95,83,4,False,Fire
477
+ 231,Phanpy,,330,90,60,60,40,40,40,2,False,Ground
478
+ 322,Numel,Ground,305,60,60,40,65,45,35,3,False,Fire
479
+ 410,Shieldon,Steel,350,30,42,118,42,88,30,4,False,Rock
480
+ 590,Foongus,Poison,294,69,55,45,55,55,15,5,False,Grass
481
+ 566,Archen,Flying,401,55,112,45,74,45,70,5,False,Rock
482
+ 78,Rapidash,,500,65,100,70,80,80,105,1,False,Fire
483
+ 271,Lombre,Grass,340,60,50,50,60,70,50,3,False,Water
484
+ 383,GroudonPrimal Groudon,Fire,770,100,180,160,150,90,90,3,True,Ground
485
+ 26,Raichu,,485,60,90,55,90,80,110,1,False,Electric
486
+ 583,Vanillish,,395,51,65,65,80,75,59,5,False,Ice
487
+ 222,Corsola,Rock,380,55,55,85,65,85,35,2,False,Water
488
+ 304,Aron,Rock,330,50,70,100,40,40,30,3,False,Steel
489
+ 560,Scrafty,Fighting,488,65,90,115,45,115,58,5,False,Dark
490
+ 143,Snorlax,,540,160,110,65,65,110,30,1,False,Normal
491
+ 667,Litleo,Normal,369,62,50,58,73,54,72,6,False,Fire
492
+ 595,Joltik,Electric,319,50,47,50,57,50,65,5,False,Bug
493
+ 277,Swellow,Flying,430,60,85,60,50,50,125,3,False,Normal
494
+ 531,AudinoMega Audino,Fairy,545,103,60,126,80,126,50,5,False,Normal
495
+ 223,Remoraid,,300,35,65,35,65,35,65,2,False,Water
496
+ 36,Clefable,,483,95,70,73,95,90,60,1,False,Fairy
497
+ 155,Cyndaquil,,309,39,52,43,60,50,65,2,False,Fire
498
+ 107,Hitmonchan,,455,50,105,79,35,110,76,1,False,Fighting
499
+ 194,Wooper,Ground,210,55,45,45,25,25,15,2,False,Water
500
+ 647,KeldeoResolute Forme,Fighting,580,91,72,90,129,90,108,5,False,Water
501
+ 161,Sentret,,215,35,46,34,35,45,20,2,False,Normal
502
+ 30,Nidorina,,365,70,62,67,55,55,56,1,False,Poison
503
+ 401,Kricketot,,194,37,25,41,25,41,25,4,False,Bug
504
+ 128,Tauros,,490,75,100,95,40,70,110,1,False,Normal
505
+ 371,Bagon,,300,45,75,60,40,30,50,3,False,Dragon
506
+ 479,RotomFan Rotom,Flying,520,50,65,107,105,107,86,4,False,Electric
507
+ 479,RotomFrost Rotom,Ice,520,50,65,107,105,107,86,4,False,Electric
508
+ 648,MeloettaAria Forme,Psychic,600,100,77,77,128,128,90,5,False,Normal
509
+ 469,Yanmega,Flying,515,86,76,86,116,56,95,4,False,Bug
510
+ 163,Hoothoot,Flying,262,60,30,30,36,56,50,2,False,Normal
511
+ 606,Beheeyem,,485,75,75,75,125,95,40,5,False,Psychic
512
+ 22,Fearow,Flying,442,65,90,65,61,61,100,1,False,Normal
513
+ 481,Mesprit,,580,80,105,105,105,105,80,4,True,Psychic
514
+ 618,Stunfisk,Electric,471,109,66,84,81,99,32,5,False,Ground
515
+ 167,Spinarak,Poison,250,40,60,40,40,40,30,2,False,Bug
516
+ 330,Flygon,Dragon,520,80,100,80,80,80,100,3,False,Ground
517
+ 184,Azumarill,Fairy,420,100,50,80,60,80,50,2,False,Water
518
+ 94,GengarMega Gengar,Poison,600,60,65,80,170,95,130,1,False,Ghost
519
+ 658,Greninja,Dark,530,72,95,67,103,71,122,6,False,Water
520
+ 418,Buizel,,330,55,65,35,60,30,85,4,False,Water
521
+ 56,Mankey,,305,40,80,35,35,45,70,1,False,Fighting
522
+ 284,Masquerain,Flying,414,70,60,62,80,82,60,3,False,Bug
523
+ 711,GourgeistAverage Size,Grass,494,65,90,122,58,75,84,6,False,Ghost
524
+ 523,Zebstrika,,497,75,100,63,80,63,116,5,False,Electric
525
+ 661,Fletchling,Flying,278,45,50,43,40,38,62,6,False,Normal
526
+ 652,Chesnaught,Fighting,530,88,107,122,74,75,64,6,False,Grass
527
+ 151,Mew,,600,100,100,100,100,100,100,1,False,Psychic
528
+ 390,Chimchar,,309,44,58,44,58,44,61,4,False,Fire
529
+ 62,Poliwrath,Fighting,510,90,95,95,70,90,70,1,False,Water
530
+ 95,Onix,Ground,385,35,45,160,30,45,70,1,False,Rock
531
+ 672,Skiddo,,350,66,65,48,62,57,52,6,False,Grass
532
+ 441,Chatot,Flying,411,76,65,45,92,42,91,4,False,Normal
533
+ 412,Burmy,,224,40,29,45,29,45,36,4,False,Bug
534
+ 40,Wigglytuff,Fairy,435,140,70,45,85,50,45,1,False,Normal
535
+ 645,LandorusTherian Forme,Flying,600,89,145,90,105,80,91,5,True,Ground
536
+ 302,SableyeMega Sableye,Ghost,480,50,85,125,85,115,20,3,False,Dark
537
+ 99,Kingler,,475,55,130,115,50,50,75,1,False,Water
538
+ 147,Dratini,,300,41,64,45,50,50,50,1,False,Dragon
539
+ 276,Taillow,Flying,270,40,55,30,30,30,85,3,False,Normal
540
+ 680,Doublade,Ghost,448,59,110,150,45,49,35,6,False,Steel
541
+ 308,Medicham,Psychic,410,60,60,75,60,75,80,3,False,Fighting
542
+ 402,Kricketune,,384,77,85,51,55,51,65,4,False,Bug
543
+ 2,Ivysaur,Poison,405,60,62,63,80,80,60,1,False,Grass
544
+ 681,AegislashShield Forme,Ghost,520,60,50,150,50,150,60,6,False,Steel
545
+ 377,Regirock,,580,80,100,200,50,100,50,3,True,Rock
546
+ 581,Swanna,Flying,473,75,87,63,87,63,98,5,False,Water
547
+ 326,Grumpig,,470,80,45,65,90,110,80,3,False,Psychic
548
+ 683,Aromatisse,,462,101,72,72,99,89,29,6,False,Fairy
549
+ 605,Elgyem,,335,55,55,55,85,55,30,5,False,Psychic
550
+ 710,PumpkabooSuper Size,Grass,335,59,66,70,44,55,41,6,False,Ghost
551
+ 43,Oddish,Poison,320,45,50,55,75,65,30,1,False,Grass
552
+ 131,Lapras,Ice,535,130,85,80,85,95,60,1,False,Water
553
+ 234,Stantler,,465,73,95,62,85,65,85,2,False,Normal
554
+ 41,Zubat,Flying,245,40,45,35,30,40,55,1,False,Poison
555
+ 623,Golurk,Ghost,483,89,124,80,55,80,55,5,False,Ground
556
+ 58,Growlithe,,350,55,70,45,70,50,60,1,False,Fire
557
+ 486,Regigigas,,670,110,160,110,80,110,100,4,True,Normal
558
+ 500,Emboar,Fighting,528,110,123,65,100,65,65,5,False,Fire
559
+ 166,Ledian,Flying,390,55,35,50,55,110,85,2,False,Bug
560
+ 516,Simipour,,498,75,98,63,98,63,101,5,False,Water
561
+ 711,GourgeistLarge Size,Grass,494,75,95,122,58,75,69,6,False,Ghost
562
+ 275,Shiftry,Dark,480,90,100,60,90,60,80,3,False,Grass
563
+ 585,Deerling,Grass,335,60,60,50,40,50,75,5,False,Normal
564
+ 227,Skarmory,Flying,465,65,80,140,40,70,70,2,False,Steel
565
+ 613,Cubchoo,,305,55,70,40,60,40,40,5,False,Ice
566
+ 364,Sealeo,Water,410,90,60,70,75,70,45,3,False,Ice
567
+ 79,Slowpoke,Psychic,315,90,65,65,40,40,15,1,False,Water
568
+ 568,Trubbish,,329,50,50,62,40,62,65,5,False,Poison
569
+ 434,Stunky,Dark,329,63,63,47,41,41,74,4,False,Poison
570
+ 347,Anorith,Bug,355,45,95,50,40,50,75,3,False,Rock
571
+ 607,Litwick,Fire,275,50,30,55,65,55,20,5,False,Ghost
572
+ 536,Palpitoad,Ground,384,75,65,55,65,55,69,5,False,Water
573
+ 615,Cryogonal,,485,70,50,30,95,135,105,5,False,Ice
574
+ 361,Snorunt,,300,50,50,50,50,50,50,3,False,Ice
575
+ 6,CharizardMega Charizard X,Dragon,634,78,130,111,130,85,100,1,False,Fire
576
+ 302,Sableye,Ghost,380,50,75,75,65,65,50,3,False,Dark
577
+ 522,Blitzle,,295,45,60,32,50,32,76,5,False,Electric
578
+ 177,Natu,Flying,320,40,50,45,70,45,70,2,False,Psychic
579
+ 545,Scolipede,Poison,485,60,100,89,55,69,112,5,False,Bug
580
+ 3,VenusaurMega Venusaur,Poison,625,80,100,123,122,120,80,1,False,Grass
581
+ 134,Vaporeon,,525,130,65,60,110,95,65,1,False,Water
582
+ 1,Bulbasaur,Poison,318,45,49,49,65,65,45,1,False,Grass
583
+ 442,Spiritomb,Dark,485,50,92,108,92,108,35,4,False,Ghost
584
+ 445,GarchompMega Garchomp,Ground,700,108,170,115,120,95,92,4,False,Dragon
585
+ 719,Diancie,Fairy,600,50,100,150,100,150,50,6,True,Rock
586
+ 102,Exeggcute,Psychic,325,60,40,80,60,45,40,1,False,Grass
587
+ 20,Raticate,,413,55,81,60,50,70,97,1,False,Normal
588
+ 55,Golduck,,500,80,82,78,95,80,85,1,False,Water
589
+ 119,Seaking,,450,80,92,65,65,80,68,1,False,Water
590
+ 125,Electabuzz,,490,65,83,57,95,85,105,1,False,Electric
591
+ 423,Gastrodon,Ground,475,111,83,68,92,82,39,4,False,Water
592
+ 556,Maractus,,461,75,86,67,106,67,60,5,False,Grass
593
+ 353,Shuppet,,295,44,75,35,63,33,45,3,False,Ghost
594
+ 261,Poochyena,,220,35,55,35,30,30,35,3,False,Dark
595
+ 259,Marshtomp,Ground,405,70,85,70,60,70,50,3,False,Water
596
+ 450,Hippowdon,,525,108,112,118,68,72,47,4,False,Ground
597
+ 393,Piplup,,314,53,51,53,61,56,40,4,False,Water
598
+ 520,Tranquill,Flying,358,62,77,62,50,42,65,5,False,Normal
599
+ 537,Seismitoad,Ground,509,105,95,75,85,75,74,5,False,Water
600
+ 710,PumpkabooSmall Size,Grass,335,44,66,70,44,55,56,6,False,Ghost
601
+ 248,Tyranitar,Dark,600,100,134,110,95,100,61,2,False,Rock
602
+ 329,Vibrava,Dragon,340,50,70,50,50,50,70,3,False,Ground
603
+ 195,Quagsire,Ground,430,95,85,85,65,65,35,2,False,Water
604
+ 150,MewtwoMega Mewtwo X,Fighting,780,106,190,100,154,100,130,1,True,Psychic
605
+ 674,Pancham,,348,67,82,62,46,48,43,6,False,Fighting
606
+ 148,Dragonair,,420,61,84,65,70,70,70,1,False,Dragon
607
+ 132,Ditto,,288,48,48,48,48,48,48,1,False,Normal
608
+ 74,Geodude,Ground,300,40,80,100,30,30,20,1,False,Rock
609
+ 319,SharpedoMega Sharpedo,Dark,560,70,140,70,110,65,105,3,False,Water
610
+ 193,Yanma,Flying,390,65,65,45,75,45,95,2,False,Bug
611
+ 714,Noibat,Dragon,245,40,30,35,45,40,55,6,False,Flying
612
+ 346,Cradily,Grass,495,86,81,97,81,107,43,3,False,Rock
613
+ 665,Spewpa,,213,45,22,60,27,30,29,6,False,Bug
614
+ 308,MedichamMega Medicham,Psychic,510,60,100,85,80,85,100,3,False,Fighting
615
+ 72,Tentacool,Poison,335,40,40,35,50,100,70,1,False,Water
616
+ 367,Huntail,,485,55,104,105,94,75,52,3,False,Water
617
+ 645,LandorusIncarnate Forme,Flying,600,89,125,90,115,80,101,5,True,Ground
618
+ 52,Meowth,,290,40,45,35,40,40,90,1,False,Normal
619
+ 656,Froakie,,314,41,56,40,62,44,71,6,False,Water
620
+ 580,Ducklett,Flying,305,62,44,50,44,50,55,5,False,Water
621
+ 250,Ho-oh,Flying,680,106,130,90,110,154,90,2,True,Fire
622
+ 224,Octillery,,480,75,105,75,105,75,45,2,False,Water
623
+ 220,Swinub,Ground,250,50,50,40,30,30,50,2,False,Ice
624
+ 444,Gabite,Ground,410,68,90,65,50,55,82,4,False,Dragon
625
+ 215,Sneasel,Ice,430,55,95,55,35,75,115,2,False,Dark
626
+ 144,Articuno,Flying,580,90,85,100,95,125,85,1,True,Ice
627
+ 340,Whiscash,Ground,468,110,78,73,76,71,60,3,False,Water
628
+ 472,Gliscor,Flying,510,75,95,125,45,75,95,4,False,Ground
629
+ 476,Probopass,Steel,525,60,55,145,75,150,40,4,False,Rock
630
+ 510,Liepard,,446,64,88,50,88,50,106,5,False,Dark
631
+ 31,Nidoqueen,Ground,505,90,92,87,75,85,76,1,False,Poison
632
+ 127,Pinsir,,500,65,125,100,55,70,85,1,False,Bug
633
+ 391,Monferno,Fighting,405,64,78,52,78,52,81,4,False,Fire
634
+ 676,Furfrou,,472,75,80,60,65,90,102,6,False,Normal
635
+ 479,Rotom,Ghost,440,50,50,77,95,77,91,4,False,Electric
636
+ 638,Cobalion,Fighting,580,91,90,129,90,72,108,5,True,Steel
637
+ 415,Combee,Flying,244,30,30,42,30,42,70,4,False,Bug
638
+ 502,Dewott,,413,75,75,60,83,60,60,5,False,Water
639
+ 426,Drifblim,Flying,498,150,80,44,90,54,80,4,False,Ghost
640
+ 646,KyuremBlack Kyurem,Ice,700,125,170,100,120,90,95,5,True,Dragon
641
+ 362,GlalieMega Glalie,,580,80,120,80,120,80,100,3,False,Ice
642
+ 396,Starly,Flying,245,40,55,30,30,30,60,4,False,Normal
643
+ 451,Skorupi,Bug,330,40,50,90,30,55,65,4,False,Poison
644
+ 588,Karrablast,,315,50,75,45,40,45,60,5,False,Bug
645
+ 109,Koffing,,340,40,65,95,60,45,35,1,False,Poison
646
+ 453,Croagunk,Fighting,300,48,61,40,61,40,50,4,False,Poison
647
+ 181,AmpharosMega Ampharos,Dragon,610,90,95,105,165,110,45,2,False,Electric
648
+ 690,Skrelp,Water,320,50,60,60,60,60,30,6,False,Poison
649
+ 11,Metapod,,205,50,20,55,25,25,30,1,False,Bug
650
+ 159,Croconaw,,405,65,80,80,59,63,58,2,False,Water
651
+ 186,Politoed,,500,90,75,75,90,100,70,2,False,Water
652
+ 19,Rattata,,253,30,56,35,25,35,72,1,False,Normal
653
+ 720,HoopaHoopa Confined,Ghost,600,80,110,60,150,130,70,6,True,Psychic
654
+ 185,Sudowoodo,,410,70,100,115,30,65,30,2,False,Rock
655
+ 348,Armaldo,Bug,495,75,125,100,70,80,45,3,False,Rock
656
+ 654,Braixen,,409,59,59,58,90,70,73,6,False,Fire
657
+ 637,Volcarona,Fire,550,85,60,65,135,105,100,5,False,Bug
658
+ 411,Bastiodon,Steel,495,60,52,168,47,138,30,4,False,Rock
659
+ 558,Crustle,Rock,475,70,95,125,65,75,45,5,False,Bug
660
+ 505,Watchog,,420,60,85,69,60,69,77,5,False,Normal
661
+ 563,Cofagrigus,,483,58,50,145,95,105,30,5,False,Ghost
662
+ 408,Cranidos,,350,67,125,40,30,30,58,4,False,Rock
663
+ 86,Seel,,325,65,45,55,45,70,45,1,False,Water
664
+ 417,Pachirisu,,405,60,45,70,45,90,95,4,False,Electric
665
+ 535,Tympole,,294,50,50,40,50,40,64,5,False,Water
666
+ 319,Sharpedo,Dark,460,70,120,40,95,40,95,3,False,Water
667
+ 439,Mime Jr.,Fairy,310,20,25,45,70,90,60,4,False,Psychic
668
+ 416,Vespiquen,Flying,474,70,80,102,80,102,40,4,False,Bug
669
+ 717,Yveltal,Flying,680,126,131,95,131,98,99,6,True,Dark
670
+ 591,Amoonguss,Poison,464,114,85,70,85,80,30,5,False,Grass
671
+ 455,Carnivine,,454,74,100,72,90,72,46,4,False,Grass
672
+ 688,Binacle,Water,306,42,52,67,39,56,50,6,False,Rock
673
+ 253,Grovyle,,405,50,65,45,85,65,95,3,False,Grass
674
+ 508,Stoutland,,500,85,110,90,45,90,80,5,False,Normal
675
+ 113,Chansey,,450,250,5,5,35,105,50,1,False,Normal
676
+ 266,Silcoon,,205,50,35,55,25,25,15,3,False,Bug
677
+ 650,Chespin,,313,56,61,65,48,45,38,6,False,Grass
678
+ 183,Marill,Fairy,250,70,20,50,20,50,40,2,False,Water
679
+ 479,RotomHeat Rotom,Fire,520,50,65,107,105,107,86,4,False,Electric
680
+ 648,MeloettaPirouette Forme,Fighting,600,100,128,90,77,77,128,5,False,Normal
681
+ 251,Celebi,Grass,600,100,100,100,100,100,100,2,False,Psychic
682
+ 452,Drapion,Dark,500,70,90,110,60,75,95,4,False,Poison
683
+ 587,Emolga,Flying,428,55,75,60,75,60,103,5,False,Electric
684
+ 711,GourgeistSuper Size,Grass,494,85,100,122,58,75,54,6,False,Ghost
685
+ 310,Manectric,,475,70,75,60,105,60,105,3,False,Electric
686
+ 32,Nidoran♂,,273,46,57,40,40,40,50,1,False,Poison
687
+ 462,Magnezone,Steel,535,70,70,115,130,90,60,4,False,Electric
688
+ 655,Delphox,Psychic,534,75,69,72,114,100,104,6,False,Fire
689
+ 525,Boldore,,390,70,105,105,50,40,20,5,False,Rock
690
+ 306,AggronMega Aggron,,630,70,140,230,60,80,50,3,False,Steel
691
+ 312,Minun,,405,60,40,50,75,85,95,3,False,Electric
692
+ 492,ShayminLand Forme,,600,100,100,100,100,100,100,4,True,Grass
693
+ 75,Graveler,Ground,390,55,95,115,45,45,35,1,False,Rock
694
+ 59,Arcanine,,555,90,110,80,100,80,95,1,False,Fire
695
+ 713,Avalugg,,514,95,117,184,44,46,28,6,False,Ice
696
+ 697,Tyrantrum,Dragon,521,82,121,119,69,59,71,6,False,Rock
697
+ 208,Steelix,Ground,510,75,85,200,55,65,30,2,False,Steel
698
+ 673,Gogoat,,531,123,100,62,97,81,68,6,False,Grass
699
+ 496,Servine,,413,60,60,75,60,75,83,5,False,Grass
700
+ 6,CharizardMega Charizard Y,Flying,634,78,104,78,159,115,100,1,False,Fire
701
+ 603,Eelektrik,,405,65,85,70,75,70,40,5,False,Electric
702
+ 635,Hydreigon,Dragon,600,92,105,90,125,90,98,5,False,Dark
703
+ 421,Cherrim,,450,70,60,70,87,78,85,4,False,Grass
704
+ 6,Charizard,Flying,534,78,84,78,109,85,100,1,False,Fire
705
+ 482,Azelf,,580,75,125,70,125,70,115,4,True,Psychic
706
+ 491,Darkrai,,600,70,90,90,135,90,125,4,True,Dark
707
+ 431,Glameow,,310,49,55,42,42,37,85,4,False,Normal
708
+ 219,Magcargo,Rock,410,50,50,120,80,80,30,2,False,Fire
709
+ 684,Swirlix,,341,62,48,66,59,57,49,6,False,Fairy
710
+ 325,Spoink,,330,60,25,35,70,80,60,3,False,Psychic
711
+ 389,Torterra,Ground,525,95,109,105,75,85,56,4,False,Grass
712
+ 96,Drowzee,,328,60,48,45,43,90,42,1,False,Psychic
classification/unipredict/abcsds-pokemon/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/adityakadiwal-water-potability/metadata.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "adityakadiwal-water-potability",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Potability",
8
+ "label_values": [
9
+ "0.0",
10
+ "1.0"
11
+ ],
12
+ "num_labels": 2,
13
+ "train_samples": 2948,
14
+ "test_samples": 328,
15
+ "train_label_distribution": {
16
+ "1.0": 1150,
17
+ "0.0": 1798
18
+ },
19
+ "test_label_distribution": {
20
+ "1.0": 128,
21
+ "0.0": 200
22
+ }
23
+ }
classification/unipredict/adityakadiwal-water-potability/test.csv ADDED
@@ -0,0 +1,329 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ph,Hardness,Solids,Chloramines,Sulfate,Conductivity,Organic_carbon,Trihalomethanes,Turbidity,Potability
2
+ 6.44,214.72,9363.85,10.0,273.46,508.35,12.93,71.43,4.93,1.0
3
+ ,114.73,13677.99,9.98,441.83,524.0,11.38,71.15,3.29,1.0
4
+ 3.92,227.71,24200.35,7.0,,292.39,19.39,61.79,4.58,0.0
5
+ 7.61,213.69,17598.2,8.13,,384.09,5.05,70.83,3.44,0.0
6
+ 7.96,224.32,11551.22,9.49,367.47,451.81,14.91,79.69,2.29,1.0
7
+ 7.46,221.34,25480.92,6.93,,438.62,13.09,58.08,2.41,0.0
8
+ ,139.33,2912.21,10.34,343.32,532.89,11.08,42.17,4.09,0.0
9
+ 5.8,201.89,15327.88,6.86,328.93,281.09,19.81,55.4,4.43,0.0
10
+ 7.65,239.49,15326.93,8.93,373.44,425.34,17.88,,4.04,1.0
11
+ ,233.69,17317.69,8.95,264.92,311.97,10.75,108.59,4.24,0.0
12
+ 5.55,217.02,34006.77,6.65,331.4,430.27,15.65,64.98,4.6,0.0
13
+ 5.12,225.66,30914.11,6.21,371.65,356.86,8.07,77.39,3.94,1.0
14
+ 7.76,213.05,25259.78,7.64,363.68,543.53,15.25,107.19,4.17,1.0
15
+ 4.25,149.94,20497.82,3.27,302.82,427.11,16.09,68.2,3.59,0.0
16
+ 7.01,248.9,26136.31,7.77,335.05,403.75,10.91,75.33,4.63,1.0
17
+ ,229.74,22709.39,6.36,316.23,294.17,16.1,54.59,4.8,0.0
18
+ 9.22,151.45,26502.6,8.1,294.19,541.6,13.95,39.57,4.29,1.0
19
+ 8.14,211.79,15494.36,9.45,,363.13,15.4,54.49,4.35,1.0
20
+ 4.62,192.57,14982.31,6.08,,344.15,11.09,88.48,2.63,0.0
21
+ 7.19,177.49,34510.75,4.98,295.83,477.99,16.78,62.76,4.28,1.0
22
+ 7.86,211.31,31725.49,7.52,313.34,433.44,15.91,,4.5,1.0
23
+ 11.5,195.99,14158.16,7.24,311.97,357.52,19.32,82.35,3.13,0.0
24
+ 9.32,212.71,15751.18,5.5,296.85,399.77,10.62,74.55,3.01,0.0
25
+ 5.84,194.62,17721.96,5.65,410.36,622.96,17.63,93.07,4.24,0.0
26
+ 8.27,204.23,24196.52,8.45,332.89,500.68,15.16,71.02,5.14,0.0
27
+ 8.84,195.83,11610.21,7.87,332.76,514.93,12.29,87.43,2.09,1.0
28
+ 7.38,175.01,15340.95,6.14,371.01,579.46,11.92,78.18,4.53,0.0
29
+ 9.87,114.37,27912.91,8.66,340.05,490.45,8.52,64.83,3.65,0.0
30
+ ,182.16,30646.82,6.33,294.97,404.12,14.71,106.37,3.86,0.0
31
+ 5.23,176.71,27971.89,7.6,413.91,440.36,14.42,72.84,3.05,0.0
32
+ 6.89,211.45,35018.33,6.07,,550.0,8.45,27.66,3.6,1.0
33
+ 4.57,134.2,22520.42,8.19,403.34,372.2,11.26,69.05,3.09,1.0
34
+ 9.92,202.82,9973.93,6.88,337.35,333.19,23.92,71.83,4.69,0.0
35
+ 7.78,215.53,38895.36,7.76,342.26,349.43,6.12,65.83,5.43,1.0
36
+ 6.38,182.12,33046.73,5.35,362.35,350.24,7.59,66.23,5.4,1.0
37
+ 6.1,179.4,24196.26,7.16,321.44,525.9,13.48,60.06,2.29,0.0
38
+ 7.35,199.61,19073.26,5.77,336.99,413.21,12.48,56.79,4.3,1.0
39
+ ,279.23,11380.3,8.59,314.16,467.63,10.88,68.98,3.26,0.0
40
+ 6.94,198.48,16904.2,6.34,299.52,470.6,15.05,61.15,4.24,1.0
41
+ 7.09,179.05,21065.66,7.47,377.78,571.58,12.62,85.24,3.27,1.0
42
+ 8.14,178.72,33786.72,9.1,,481.07,12.27,95.91,2.74,1.0
43
+ 9.18,273.81,24041.33,6.9,398.35,477.97,13.39,71.46,4.5,0.0
44
+ ,232.6,10634.06,7.56,334.05,542.21,14.01,85.22,4.8,0.0
45
+ 5.65,187.83,25868.6,3.52,338.03,456.26,15.5,72.55,4.86,1.0
46
+ 9.62,210.26,18185.05,7.94,,387.33,17.48,65.99,3.17,0.0
47
+ 10.0,215.11,33462.03,6.19,365.9,373.94,13.79,77.87,2.66,0.0
48
+ 6.97,183.93,13401.04,6.46,371.79,433.24,14.58,66.03,4.89,1.0
49
+ 7.46,215.48,27150.4,7.78,382.96,403.7,14.78,56.96,5.08,1.0
50
+ 8.29,196.55,19096.82,7.36,342.94,388.94,14.15,73.19,5.44,0.0
51
+ 9.27,203.25,20478.79,6.84,337.3,508.28,19.16,,4.33,0.0
52
+ ,255.95,15097.02,8.48,361.97,471.48,14.57,40.29,3.23,1.0
53
+ ,206.32,18752.27,8.2,344.59,510.49,5.36,61.91,3.29,0.0
54
+ 4.76,203.54,23603.07,7.67,324.08,288.91,18.06,85.92,4.41,0.0
55
+ 8.75,148.39,22174.78,5.46,369.37,407.38,15.89,72.16,4.76,0.0
56
+ 8.53,248.58,22372.3,2.99,366.15,341.76,14.69,78.71,2.54,0.0
57
+ 5.53,208.0,38918.78,6.54,360.07,427.66,18.81,61.21,3.33,1.0
58
+ ,185.85,14971.95,6.67,346.49,418.45,18.68,67.71,5.11,0.0
59
+ ,214.19,21671.28,8.27,,473.42,15.71,73.17,4.25,0.0
60
+ 8.08,185.93,28407.66,7.61,381.76,402.66,12.83,86.98,3.37,1.0
61
+ 5.38,175.57,15372.0,7.46,312.35,308.73,12.18,,4.36,0.0
62
+ 5.4,258.9,10168.18,9.65,248.71,396.91,15.51,65.81,4.0,0.0
63
+ 7.16,183.09,6743.35,3.8,277.6,428.04,9.8,90.04,3.88,0.0
64
+ 5.37,190.94,32619.31,8.1,351.36,435.67,11.98,107.9,2.0,0.0
65
+ ,133.81,18272.51,5.91,,415.21,11.5,92.98,3.31,0.0
66
+ ,146.97,16367.46,7.69,,468.95,18.6,49.56,4.66,0.0
67
+ 6.39,159.17,21217.16,5.3,317.26,305.24,16.87,62.15,3.27,1.0
68
+ ,146.25,25623.34,7.31,,464.18,8.35,69.0,3.58,0.0
69
+ 8.68,242.23,22984.05,7.52,,352.94,18.7,69.91,3.87,0.0
70
+ 9.89,220.64,19892.39,7.99,326.08,460.81,14.93,59.6,3.75,1.0
71
+ 5.77,186.06,26693.76,5.81,333.07,312.87,12.38,32.76,4.15,1.0
72
+ 8.85,197.78,20129.36,5.18,329.5,356.48,11.88,45.71,2.99,0.0
73
+ ,185.76,27345.17,8.93,,313.88,13.42,56.97,4.41,0.0
74
+ 7.44,180.86,18223.03,8.58,405.32,564.79,14.77,57.76,2.19,1.0
75
+ ,209.77,27382.77,7.43,323.96,301.2,13.97,62.74,4.1,0.0
76
+ 6.81,179.72,35001.14,8.68,,360.93,13.63,72.72,3.18,1.0
77
+ 6.65,170.27,23432.11,7.07,,513.36,20.26,78.9,4.17,0.0
78
+ ,131.55,21626.5,7.21,,390.96,14.84,26.51,4.73,1.0
79
+ ,222.98,32237.25,5.92,336.65,526.78,9.84,77.24,4.01,0.0
80
+ 5.54,200.71,21021.42,9.83,390.55,437.34,14.96,67.17,3.76,1.0
81
+ 8.45,228.52,28966.57,6.18,,361.71,14.55,60.61,4.4,0.0
82
+ 6.43,166.85,12215.41,7.7,376.28,352.75,20.13,66.74,2.9,1.0
83
+ 5.29,194.06,21776.17,6.28,359.1,353.77,14.18,33.59,4.55,1.0
84
+ ,190.05,18327.44,7.9,354.42,445.93,12.9,63.46,4.54,0.0
85
+ 8.24,214.53,29461.02,8.32,,514.49,16.3,90.08,3.55,0.0
86
+ 9.38,166.27,32471.46,7.34,,498.31,12.78,56.79,4.57,0.0
87
+ 6.34,167.42,16364.16,8.1,312.39,372.51,21.89,91.07,3.36,1.0
88
+ 7.44,203.07,25489.08,8.18,413.56,405.42,13.28,74.41,2.57,1.0
89
+ 9.78,155.94,23335.67,7.67,,356.54,10.82,75.33,4.14,1.0
90
+ 5.21,192.65,34184.31,5.78,282.97,380.43,15.87,80.5,4.45,0.0
91
+ ,209.43,20827.98,6.59,313.87,567.6,17.95,40.14,4.24,0.0
92
+ 9.43,158.39,20474.82,5.86,285.4,476.84,14.39,73.16,4.2,1.0
93
+ 7.26,196.65,44184.23,5.27,260.43,324.25,8.15,69.38,4.53,1.0
94
+ ,191.53,12885.52,6.98,328.6,596.75,13.45,50.76,2.37,0.0
95
+ 4.79,268.72,17862.37,4.55,377.24,608.85,10.81,83.7,3.26,1.0
96
+ 4.23,201.45,13122.33,6.93,374.84,402.66,22.82,76.47,4.48,0.0
97
+ 5.7,116.3,33223.58,7.05,297.08,504.38,9.0,48.15,4.16,0.0
98
+ 7.6,207.12,13486.14,6.19,328.21,452.45,14.81,88.02,3.4,0.0
99
+ 7.38,199.17,17181.01,6.6,388.03,357.37,16.95,75.89,4.01,1.0
100
+ 8.33,236.53,18881.8,4.28,,384.73,15.12,55.51,3.41,0.0
101
+ 9.61,156.93,33954.44,4.64,,485.38,11.05,,4.96,0.0
102
+ ,170.1,39906.19,6.55,,515.39,13.52,40.51,4.35,0.0
103
+ 4.73,175.99,34265.83,5.92,324.87,441.95,12.64,,3.64,1.0
104
+ 5.35,150.5,27795.73,5.46,445.94,422.42,16.14,78.37,4.78,1.0
105
+ ,172.11,26595.37,8.23,,348.84,7.88,93.3,3.55,0.0
106
+ 6.51,229.26,22475.05,12.58,192.03,479.5,9.98,66.67,4.61,1.0
107
+ ,204.92,12556.75,5.79,359.95,610.77,16.01,52.44,3.26,0.0
108
+ ,220.55,28135.08,7.98,307.65,421.46,17.53,86.85,3.57,0.0
109
+ ,266.42,26362.97,7.7,395.39,364.48,10.35,53.01,3.99,0.0
110
+ 9.87,223.77,29549.66,7.72,281.12,356.18,14.2,84.01,4.74,1.0
111
+ ,202.88,17505.85,7.1,310.53,429.29,17.96,78.59,3.54,1.0
112
+ 6.36,164.62,17538.54,8.35,345.14,430.96,15.33,47.02,3.42,0.0
113
+ 6.62,204.34,21443.26,5.98,312.32,413.0,11.97,62.52,2.84,0.0
114
+ 10.19,286.57,7105.8,9.84,321.69,437.88,12.87,78.73,4.64,0.0
115
+ 11.27,161.9,6040.37,7.21,,316.54,11.77,25.53,4.15,0.0
116
+ 6.85,234.94,24456.17,5.6,334.87,337.57,9.52,77.3,4.92,1.0
117
+ 9.14,194.82,9496.91,6.19,345.71,562.77,13.68,74.42,3.28,0.0
118
+ 7.08,232.58,26177.79,3.91,334.16,380.46,9.63,41.95,3.7,0.0
119
+ 8.15,205.85,15661.94,7.01,335.62,555.59,14.86,72.76,2.8,1.0
120
+ 4.91,186.19,13652.6,9.32,,460.57,12.16,89.83,3.79,1.0
121
+ 6.76,218.15,22540.78,7.2,304.68,382.5,18.84,53.82,3.64,1.0
122
+ 5.91,148.61,14467.79,6.16,,427.04,14.42,56.46,2.5,0.0
123
+ 9.37,157.72,15106.31,7.76,316.39,424.92,15.65,108.21,4.38,1.0
124
+ 5.7,216.85,35606.44,7.18,,504.64,16.14,77.54,4.14,0.0
125
+ 9.92,207.07,16544.28,7.04,363.04,278.75,17.05,44.3,4.12,0.0
126
+ 6.86,194.59,23610.52,8.19,346.77,439.23,14.66,89.03,4.32,0.0
127
+ 7.82,221.09,13742.15,6.37,287.7,460.6,12.7,66.78,4.62,0.0
128
+ 5.39,212.59,40149.32,8.12,318.79,355.55,17.35,64.21,3.66,0.0
129
+ 10.31,217.22,27653.24,8.91,369.53,382.95,6.58,59.58,3.29,0.0
130
+ 7.74,137.32,16723.98,7.68,282.54,595.33,18.76,63.04,2.15,0.0
131
+ 6.98,164.13,17625.47,6.48,372.75,492.7,11.67,48.71,3.97,0.0
132
+ 5.63,203.73,19345.92,8.05,265.35,708.23,15.75,69.2,3.51,0.0
133
+ ,260.21,19517.72,8.76,368.82,251.02,12.8,48.65,3.67,0.0
134
+ 7.01,162.12,26395.25,6.62,,574.58,12.28,51.63,3.28,0.0
135
+ 6.92,252.35,11086.26,9.99,285.74,368.63,17.12,43.67,3.28,0.0
136
+ 7.05,240.85,19500.35,8.05,383.67,377.19,12.96,55.52,5.67,0.0
137
+ 8.52,190.99,14578.96,6.6,,498.53,11.32,57.18,3.43,0.0
138
+ 5.32,232.37,37625.75,8.88,380.58,580.9,12.29,55.31,2.88,0.0
139
+ ,181.56,19289.36,7.33,,274.7,14.09,56.8,2.62,1.0
140
+ ,210.74,12229.3,6.95,387.39,422.03,14.68,77.32,2.52,0.0
141
+ 7.09,206.36,13839.71,8.09,321.3,369.97,14.9,66.67,5.66,1.0
142
+ 6.76,231.26,18536.7,8.76,342.55,385.11,13.89,79.3,5.16,0.0
143
+ 4.56,165.77,22939.14,7.99,352.79,323.78,13.56,79.32,4.12,0.0
144
+ 6.1,215.27,15976.93,8.86,308.48,417.84,13.15,62.51,3.54,1.0
145
+ 7.88,229.24,21733.83,7.9,315.19,368.77,11.64,49.8,4.63,0.0
146
+ 8.7,166.45,27752.0,5.35,372.26,393.56,13.75,75.02,4.18,0.0
147
+ 10.81,198.6,29614.35,5.78,304.62,383.27,14.9,47.9,4.36,1.0
148
+ 7.35,208.32,13714.83,8.22,352.85,336.91,20.85,69.44,5.86,1.0
149
+ ,214.59,22038.51,6.2,294.24,332.47,18.47,46.05,4.24,1.0
150
+ 9.0,169.23,21790.01,7.92,,436.92,18.22,73.22,4.52,0.0
151
+ ,209.75,20214.22,6.05,323.79,539.46,20.28,72.74,4.26,1.0
152
+ 6.49,224.81,26807.12,3.27,319.07,382.88,10.67,63.73,3.25,1.0
153
+ 6.86,233.21,22603.65,6.63,368.11,412.43,16.93,62.56,4.31,1.0
154
+ 7.21,163.05,14230.42,7.35,324.1,441.52,9.79,89.92,4.46,1.0
155
+ 8.63,164.37,14880.65,7.28,350.95,444.11,16.86,58.18,3.64,0.0
156
+ 7.26,212.52,38713.11,5.84,262.1,332.43,14.1,70.3,4.85,0.0
157
+ 7.56,223.23,14739.07,6.73,372.03,481.34,8.9,62.13,4.26,1.0
158
+ 7.83,249.34,13394.73,8.34,393.14,443.63,10.98,76.65,4.27,1.0
159
+ 5.04,154.42,23027.55,7.76,422.77,490.33,17.73,69.51,4.86,1.0
160
+ 9.05,120.02,22203.49,9.37,285.23,372.28,14.54,64.13,4.26,1.0
161
+ 6.39,220.42,21051.26,8.74,348.05,353.37,19.64,48.71,4.73,0.0
162
+ 7.81,180.35,17516.7,7.49,352.28,370.01,14.29,80.88,2.9,0.0
163
+ 8.33,199.0,28919.81,7.44,304.29,429.23,14.71,83.63,2.41,0.0
164
+ 9.49,274.83,21879.7,5.27,364.68,581.08,13.64,62.12,3.19,1.0
165
+ 6.58,200.73,23720.48,8.57,353.01,458.36,13.0,79.53,4.15,0.0
166
+ 4.77,256.45,48007.87,5.77,,590.43,16.54,44.94,3.89,1.0
167
+ 8.56,216.66,18337.46,8.29,311.33,390.94,17.14,39.78,3.69,0.0
168
+ 7.65,188.51,22510.98,8.62,,393.29,12.85,73.31,4.95,0.0
169
+ 6.02,236.98,19894.15,7.59,286.94,315.27,12.13,74.13,4.03,0.0
170
+ ,252.67,29368.67,9.91,433.95,465.22,13.22,84.2,5.05,0.0
171
+ 7.86,218.15,23045.73,7.43,349.92,414.37,14.79,72.61,3.59,0.0
172
+ ,221.67,32269.5,8.77,303.96,357.36,12.82,51.37,4.8,1.0
173
+ 7.33,189.45,32358.54,6.35,341.35,490.63,12.54,61.58,2.64,0.0
174
+ 7.73,233.95,21667.87,6.31,340.27,472.26,14.4,36.58,3.72,0.0
175
+ 3.72,163.64,37962.17,6.68,326.69,467.56,14.57,50.58,3.66,0.0
176
+ 6.82,170.33,14053.22,8.12,,544.01,13.54,77.23,3.39,1.0
177
+ 5.27,193.17,22005.44,6.18,267.83,351.48,15.66,68.62,4.12,0.0
178
+ ,190.42,28062.64,9.62,357.23,263.77,13.45,67.06,5.63,0.0
179
+ 5.79,190.43,20288.24,6.3,347.04,544.86,17.71,84.39,4.1,0.0
180
+ 8.52,141.81,12658.18,11.26,347.27,387.09,12.79,69.58,4.34,0.0
181
+ 9.28,215.91,36622.23,3.9,,383.26,19.03,80.32,4.07,0.0
182
+ 6.7,230.77,9727.76,5.94,223.24,405.76,12.83,74.39,3.42,1.0
183
+ ,195.87,17749.3,7.56,,512.45,15.49,54.13,2.78,1.0
184
+ 8.92,207.52,13291.92,8.56,357.94,468.54,15.69,107.28,4.08,0.0
185
+ 5.7,170.5,17121.51,9.54,374.78,378.87,10.97,63.29,5.96,0.0
186
+ 7.24,154.14,31144.7,4.81,261.21,451.02,10.85,,3.36,1.0
187
+ 8.63,185.93,31548.01,7.08,,342.36,18.25,62.19,5.1,1.0
188
+ ,281.27,22452.09,6.77,343.64,395.34,14.9,67.13,4.44,0.0
189
+ 10.5,125.98,38605.33,8.71,,674.44,9.71,51.7,5.37,1.0
190
+ 5.52,190.67,17638.32,10.53,,461.93,12.53,44.89,4.52,0.0
191
+ 6.99,197.69,12150.72,7.98,341.1,303.6,14.33,70.86,3.85,0.0
192
+ 4.67,193.68,47580.99,7.17,359.95,526.42,13.89,66.69,4.44,1.0
193
+ 2.57,201.6,48204.17,6.38,261.72,429.75,10.78,79.72,5.51,0.0
194
+ 7.24,202.0,14462.67,6.74,314.04,534.8,14.21,82.95,3.78,0.0
195
+ ,202.81,11900.06,8.95,367.53,379.56,13.59,58.82,3.15,0.0
196
+ 7.4,184.84,19797.11,8.42,387.19,428.41,13.14,62.34,3.95,0.0
197
+ 4.63,208.91,29307.13,6.13,304.03,456.21,10.82,111.12,4.75,0.0
198
+ 6.51,169.22,25151.41,4.61,375.61,296.07,15.09,74.08,4.4,1.0
199
+ 5.81,195.51,43110.5,7.37,281.92,325.83,15.05,51.29,4.82,0.0
200
+ 5.69,241.22,14083.83,5.74,293.47,498.28,24.76,70.73,2.99,0.0
201
+ 9.58,205.75,33080.59,5.66,356.7,333.07,16.98,68.91,3.42,0.0
202
+ 7.26,160.44,16129.71,8.09,328.45,478.52,12.81,43.59,3.95,1.0
203
+ 9.42,175.76,33155.58,7.35,,432.04,11.04,69.85,3.3,1.0
204
+ 4.7,169.94,7028.84,8.99,317.83,289.54,8.07,63.66,4.14,0.0
205
+ 8.4,199.5,16772.23,8.12,343.4,402.46,17.24,75.85,2.84,0.0
206
+ 6.63,215.25,18059.33,6.93,,374.46,11.62,77.94,3.41,1.0
207
+ 7.11,148.62,23688.21,7.0,339.11,259.96,17.22,56.04,4.02,1.0
208
+ 5.63,192.34,22856.74,7.76,343.04,439.05,15.2,50.23,4.06,1.0
209
+ 7.06,178.81,39484.64,8.59,281.39,520.27,10.8,75.85,2.95,1.0
210
+ 7.88,250.9,15741.08,8.08,,391.26,16.54,59.25,3.91,0.0
211
+ 7.28,175.22,22644.77,7.89,293.31,373.35,17.41,56.8,5.06,1.0
212
+ 6.85,204.81,20555.56,9.78,387.69,389.64,12.3,49.45,3.13,0.0
213
+ 5.36,179.91,27045.93,6.52,311.47,408.92,9.7,79.48,3.87,0.0
214
+ 5.33,194.87,16658.88,7.99,316.68,335.12,10.18,59.57,4.43,0.0
215
+ 6.98,205.94,22685.68,5.93,304.05,441.77,13.52,77.98,4.93,0.0
216
+ 7.62,202.72,44539.74,5.82,338.07,459.08,13.35,73.6,3.77,1.0
217
+ 10.28,198.55,8108.3,5.55,332.02,568.08,15.66,28.77,4.57,0.0
218
+ ,225.29,22511.69,7.06,377.13,291.35,11.59,72.51,4.08,1.0
219
+ 11.24,178.6,33773.11,9.06,327.65,425.87,17.99,58.99,5.15,0.0
220
+ 5.5,184.43,26744.3,7.36,332.03,459.64,18.42,71.88,4.12,0.0
221
+ 8.07,191.82,17106.44,7.9,333.48,432.9,13.34,54.22,4.85,1.0
222
+ 10.43,117.79,22326.89,8.16,307.71,412.99,12.89,65.73,5.06,0.0
223
+ 6.36,198.91,13742.14,7.44,338.41,423.63,11.92,57.71,2.71,1.0
224
+ 5.38,185.54,36026.4,9.65,343.49,347.57,14.0,,3.63,1.0
225
+ 6.71,185.91,34558.4,6.55,360.51,303.97,10.23,50.21,4.68,1.0
226
+ 8.83,189.98,13527.99,7.15,408.59,338.51,18.54,,3.05,0.0
227
+ 6.19,249.53,12682.15,6.25,263.27,274.76,14.35,57.62,3.55,0.0
228
+ 7.18,261.85,14100.97,9.01,358.72,290.42,17.15,82.03,4.6,0.0
229
+ 7.45,193.04,32251.36,6.09,337.14,572.81,18.06,57.4,4.37,1.0
230
+ 5.32,280.09,35344.66,13.04,180.21,392.42,10.5,55.08,4.43,1.0
231
+ 8.55,209.68,22377.27,2.65,322.16,413.67,13.0,42.99,4.59,0.0
232
+ 11.56,174.94,19359.43,6.5,332.45,366.31,17.53,38.43,5.11,0.0
233
+ 8.03,222.63,18134.84,8.75,314.47,452.97,12.07,78.55,3.34,0.0
234
+ 8.34,202.2,21295.75,5.62,,428.95,15.49,81.32,4.83,0.0
235
+ 7.78,233.76,16780.12,6.12,323.54,520.29,17.79,60.34,4.68,1.0
236
+ 11.57,192.92,39234.47,8.86,236.0,463.44,19.63,81.5,3.76,0.0
237
+ 7.38,188.31,12320.51,5.49,343.24,475.3,17.83,38.34,4.34,0.0
238
+ 6.91,184.94,16965.31,6.4,351.35,434.35,11.81,77.37,4.69,1.0
239
+ 3.43,152.48,16318.73,5.97,313.06,412.92,9.97,68.51,4.1,0.0
240
+ 5.57,189.7,11512.47,8.72,329.94,331.33,18.02,66.19,4.37,0.0
241
+ 9.07,184.92,21633.72,7.43,394.2,339.36,6.66,,3.84,0.0
242
+ 9.07,203.38,22710.46,5.96,321.59,496.16,18.37,76.42,4.06,0.0
243
+ ,143.1,19290.57,6.08,370.87,486.06,13.92,63.8,4.12,0.0
244
+ 10.06,175.88,5232.91,9.67,,477.98,16.47,62.6,3.82,0.0
245
+ 4.72,252.27,22833.19,5.92,378.56,411.3,16.58,66.73,3.92,0.0
246
+ 9.88,208.91,14673.67,6.24,366.82,442.34,19.63,66.82,4.22,0.0
247
+ 6.16,202.76,12229.65,11.52,324.05,344.37,14.69,47.8,4.0,1.0
248
+ 8.31,245.72,7929.5,8.83,373.46,348.62,14.11,84.74,4.41,0.0
249
+ ,177.17,38977.33,5.48,402.5,484.17,12.3,61.57,3.26,1.0
250
+ ,196.14,10540.34,6.46,359.17,400.68,13.58,45.9,4.15,0.0
251
+ 6.88,138.44,14893.21,9.69,319.13,286.92,14.18,54.56,4.58,1.0
252
+ 4.44,190.15,20864.34,2.39,,515.63,18.08,63.36,3.84,1.0
253
+ 6.91,211.11,19224.99,6.38,307.1,323.89,21.21,71.92,5.41,1.0
254
+ 6.15,150.56,20596.39,6.91,,431.65,12.83,64.39,4.28,1.0
255
+ 6.19,174.8,22198.93,7.61,,479.09,13.74,51.5,5.21,0.0
256
+ 7.73,227.84,18767.94,9.72,,328.85,8.23,66.68,4.6,1.0
257
+ 8.32,221.27,16123.3,9.48,348.18,501.67,22.16,75.36,2.76,0.0
258
+ 5.95,226.94,11930.62,9.68,,350.97,13.61,70.57,3.97,1.0
259
+ 6.34,214.07,14619.63,6.58,316.0,370.8,12.22,83.67,3.79,0.0
260
+ 7.83,182.47,19130.96,6.8,340.28,433.46,10.79,75.9,3.81,0.0
261
+ 6.09,214.56,11628.34,7.23,,344.07,13.23,98.69,3.67,0.0
262
+ 8.58,197.56,15888.63,4.87,311.56,464.73,18.74,40.22,3.51,0.0
263
+ 4.25,168.57,16073.67,5.36,261.27,449.05,11.35,86.95,4.12,0.0
264
+ ,229.49,35729.69,8.81,384.94,296.4,16.93,,3.86,0.0
265
+ 8.26,208.19,24870.83,4.93,,441.05,19.1,50.66,2.8,0.0
266
+ 7.94,207.02,19657.84,8.6,312.34,358.85,21.23,63.77,3.62,1.0
267
+ 6.1,190.0,27776.9,6.44,347.93,245.86,14.64,73.42,3.98,0.0
268
+ 6.78,212.44,12827.62,7.4,,328.03,10.86,89.58,5.04,0.0
269
+ 6.12,226.08,24699.52,6.71,298.33,429.71,14.54,71.05,3.69,0.0
270
+ ,206.04,8667.72,6.33,353.53,599.55,21.12,55.93,4.13,0.0
271
+ 6.65,251.84,5516.87,11.14,,339.21,11.93,76.52,4.39,1.0
272
+ 5.61,204.57,16615.91,5.62,316.1,341.52,15.17,73.45,3.47,0.0
273
+ ,179.15,4784.97,5.7,378.4,517.5,14.39,68.69,2.38,0.0
274
+ 7.48,186.07,13781.78,4.65,377.34,323.77,11.69,66.29,4.04,1.0
275
+ ,191.55,22462.11,8.19,,349.95,17.25,76.77,5.26,0.0
276
+ 11.18,227.23,25484.51,9.08,404.04,563.89,17.93,71.98,4.37,0.0
277
+ 4.43,256.21,8746.9,9.01,,432.11,16.31,,4.27,1.0
278
+ 8.1,218.99,18112.28,6.2,,376.57,17.75,59.91,4.28,1.0
279
+ ,195.02,17382.43,7.04,329.13,383.79,11.15,90.89,3.84,1.0
280
+ 5.28,166.73,18404.05,4.78,,347.22,15.53,63.01,3.63,1.0
281
+ 8.47,183.0,36412.49,6.14,,414.31,14.26,56.74,3.49,1.0
282
+ ,178.15,34383.6,6.43,311.53,570.38,17.59,68.99,4.01,1.0
283
+ 8.69,219.18,16559.88,8.88,355.3,545.23,7.28,73.33,4.69,1.0
284
+ 8.69,184.77,13283.78,6.52,348.55,560.97,13.98,71.73,2.9,0.0
285
+ ,197.71,31251.64,6.25,,322.22,14.27,74.64,3.91,0.0
286
+ 7.81,179.8,17037.73,6.38,348.07,590.06,12.09,81.59,4.17,1.0
287
+ 7.17,203.41,20401.1,7.68,287.09,315.55,14.53,74.41,3.94,1.0
288
+ ,212.48,23572.16,4.98,300.73,449.95,7.09,66.03,3.09,1.0
289
+ 7.39,201.06,13921.15,7.77,,560.77,14.47,74.37,4.41,0.0
290
+ 9.35,252.15,13137.49,6.17,320.32,349.82,13.11,58.8,3.78,0.0
291
+ 7.73,169.05,38356.23,6.03,297.33,525.88,16.07,74.91,5.16,0.0
292
+ 6.07,217.83,17162.75,3.52,319.04,612.09,16.54,64.83,2.69,1.0
293
+ 5.09,174.27,34094.06,6.74,376.66,526.36,17.11,48.55,4.84,0.0
294
+ 7.86,210.95,26703.85,6.51,341.34,374.07,8.81,72.8,3.42,0.0
295
+ ,191.15,23172.28,7.13,290.71,365.14,12.68,69.07,4.02,0.0
296
+ 6.14,197.88,26687.87,7.59,329.23,548.07,15.84,41.26,5.36,0.0
297
+ 7.1,207.54,22671.48,6.28,295.59,297.11,17.11,71.02,4.91,0.0
298
+ ,191.29,21948.33,5.63,355.49,509.41,16.69,84.11,4.11,1.0
299
+ 5.71,199.12,25815.61,6.38,,483.82,11.64,79.47,4.33,0.0
300
+ 6.28,178.26,25590.68,6.75,,445.19,8.57,70.77,3.21,0.0
301
+ 3.88,243.81,7751.81,0.53,,341.29,12.99,60.11,3.73,1.0
302
+ 7.47,177.23,15736.58,6.88,277.11,401.62,11.29,58.24,3.71,1.0
303
+ 6.45,240.24,13979.17,9.08,314.59,473.75,17.42,84.02,3.62,1.0
304
+ ,199.38,5576.63,5.0,341.09,388.25,10.75,50.75,3.22,0.0
305
+ 7.51,192.47,17045.6,8.82,346.74,266.36,15.93,83.26,4.32,0.0
306
+ 7.68,178.2,20243.09,7.1,,363.97,11.91,58.27,3.09,1.0
307
+ 5.35,232.67,11797.92,7.82,312.99,371.91,11.98,65.8,3.31,0.0
308
+ 8.21,182.91,18949.98,6.66,347.13,332.86,18.33,66.69,4.23,0.0
309
+ 5.77,272.47,15417.93,7.73,315.4,424.46,15.28,60.82,3.9,1.0
310
+ 3.85,211.76,14686.28,7.56,326.91,371.27,21.77,35.78,3.14,0.0
311
+ 8.94,218.39,23774.26,6.41,324.84,413.0,13.45,63.58,5.17,0.0
312
+ 8.48,200.77,14901.81,7.38,,485.09,16.81,53.13,4.22,0.0
313
+ 8.93,197.65,27884.43,8.97,,317.53,21.5,73.01,4.11,1.0
314
+ 8.29,151.57,14402.73,9.05,303.08,322.52,13.65,114.03,4.27,1.0
315
+ ,129.89,34415.85,6.32,304.54,470.33,18.6,72.4,4.41,0.0
316
+ 6.04,227.03,12988.79,8.48,392.38,306.39,7.12,41.19,3.59,1.0
317
+ 7.76,173.64,15548.42,5.02,330.39,520.64,11.15,87.48,3.26,0.0
318
+ 7.09,221.19,29091.21,5.13,,515.06,19.58,62.63,5.12,0.0
319
+ 8.14,210.38,25433.47,8.39,385.24,321.87,11.48,85.3,4.14,0.0
320
+ ,232.28,14787.21,5.47,,383.98,12.17,86.08,5.03,0.0
321
+ 5.65,167.03,14547.89,7.74,,347.79,10.69,75.29,5.37,0.0
322
+ 8.39,187.64,10603.1,7.84,352.84,376.24,13.37,58.95,2.83,0.0
323
+ 4.73,230.94,15517.39,6.61,,384.81,16.62,64.04,5.46,1.0
324
+ 3.62,156.9,26738.53,5.02,388.75,388.75,17.2,63.56,5.37,1.0
325
+ 5.48,165.44,29046.08,5.52,370.89,488.77,17.27,80.23,6.36,0.0
326
+ 4.71,179.14,22291.42,6.77,407.42,371.26,18.19,86.53,3.86,0.0
327
+ 5.59,229.19,35370.74,7.99,,469.41,13.28,76.99,4.73,0.0
328
+ 7.99,211.29,26951.86,7.51,,638.0,13.94,69.39,3.16,1.0
329
+ 8.25,175.91,9913.96,4.97,324.43,302.2,11.07,71.44,3.94,0.0
classification/unipredict/adityakadiwal-water-potability/test.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/adityakadiwal-water-potability/train.csv ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/adityakadiwal-water-potability/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/agirlcoding-all-space-missions-from-1957/metadata.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "agirlcoding-all-space-missions-from-1957",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Status Mission",
8
+ "label_values": [
9
+ "Prelaunch Failure",
10
+ "Success",
11
+ "Failure",
12
+ "Partial Failure"
13
+ ],
14
+ "num_labels": 4,
15
+ "train_samples": 3890,
16
+ "test_samples": 434,
17
+ "train_label_distribution": {
18
+ "Success": 3491,
19
+ "Failure": 305,
20
+ "Partial Failure": 91,
21
+ "Prelaunch Failure": 3
22
+ },
23
+ "test_label_distribution": {
24
+ "Success": 388,
25
+ "Partial Failure": 11,
26
+ "Failure": 34,
27
+ "Prelaunch Failure": 1
28
+ }
29
+ }
classification/unipredict/agirlcoding-all-space-missions-from-1957/test.csv ADDED
@@ -0,0 +1,435 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Unnamed: 0,Unnamed: 01,Company Name,Location,Datum,Detail,Status Rocket, Rocket,Status Mission
2
+ 224,224,CASC,"LC-9, Taiyuan Satellite Launch Center, China","Tue Jul 31, 2018 03:00 UTC",Long March 4B | Gaofen 11,StatusActive,64.68 ,Success
3
+ 2362,2362,ESA,"ELV-1 (SLV), Guiana Space Centre, French Guiana, France","Sun Dec 20, 1981 01:29 UTC",Ariane 1 | MARCES-1 & CAT-4,StatusRetired,,Success
4
+ 2208,2208,Martin Marietta,"SLC-40, Cape Canaveral AFS, Florida, USA","Sat Apr 14, 1984 16:52 UTC",Titan 34D | DSP-11,StatusRetired,,Success
5
+ 2625,2625,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Tue Jan 24, 1978 09:50 UTC",Soyuz U | Cosmos 986,StatusRetired,,Success
6
+ 1861,1861,NASA,"LC-39B, Kennedy Space Center, Florida, USA","Thu Nov 23, 1989 00:23 UTC",Space Shuttle Discovery | STS-33R,StatusRetired,450.0 ,Success
7
+ 1239,1239,Boeing,"SLC-17A, Cape Canaveral AFS, Florida, USA","Sat Aug 07, 1999 12:51 UTC",Delta II 7925 | USA-145 (GPS IIR-3),StatusRetired,,Success
8
+ 2854,2854,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Thu Jan 22, 1976 22:26 UTC",Cosmos-3M (11K65M) | Cosmos 790,StatusRetired,,Success
9
+ 852,852,CASC,"LC-7, Taiyuan Satellite Launch Center, China","Wed Sep 19, 2007 03:26 UTC",Long March 4B | CBERS-2B,StatusActive,64.68 ,Success
10
+ 2020,2020,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Wed Jan 21, 1987 09:10 UTC",Cosmos-3M (11K65M) | Cosmos 1814,StatusRetired,,Success
11
+ 1640,1640,VKS RF,"Site 133/3, Plesetsk Cosmodrome, Russia","Thu Apr 01, 1993 18:57 UTC",Cosmos-3M (11K65M) | Cosmos 2239,StatusRetired,,Success
12
+ 1291,1291,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Wed Sep 16, 1998 06:31 UTC",Ariane 44LP | Panamsat-7,StatusRetired,,Success
13
+ 1725,1725,RVSN USSR,"Site 32/1, Plesetsk Cosmodrome, Russia","Tue Nov 12, 1991 20:09 UTC",Tsyklon-3 | Cosmos 2165 to 2170,StatusRetired,,Success
14
+ 4036,4036,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Wed Jun 10, 1964 11:00 UTC",Vostok-2 | Cosmos 32,StatusRetired,,Success
15
+ 367,367,Arianespace,"ELV-1 (SLV), Guiana Space Centre, French Guiana, France","Tue Mar 07, 2017 01:49 UTC",Vega | Sentinel 2B,StatusActive,37.0 ,Success
16
+ 4123,4123,US Air Force,"SLC-17B, Cape Canaveral AFS, Florida, USA","Tue Oct 02, 1962 22:11 UTC",Delta A | Explorer 14,StatusRetired,,Success
17
+ 3251,3251,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Fri Mar 31, 1972 04:02 UTC",Molniya-M /Block NVL | Cosmos 482,StatusRetired,,Partial Failure
18
+ 406,406,Arianespace,"ELA-3, Guiana Space Centre, French Guiana, France","Wed Oct 05, 2016 20:30 UTC","Ariane 5 ECA | Sky Muster II, GSAT-18",StatusActive,200.0 ,Success
19
+ 3619,3619,RVSN USSR,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Fri Nov 01, 1968 00:27 UTC",Tsyklon-2A | Cosmos 252,StatusRetired,,Success
20
+ 1696,1696,General Dynamics,"SLC-36B, Cape Canaveral AFS, Florida, USA","Wed Jun 10, 1992 00:00 UTC",Atlas IIA | Intelsat K,StatusRetired,,Success
21
+ 3643,3643,General Dynamics,"SLC-36A, Cape Canaveral AFS, Florida, USA","Sat Aug 10, 1968 22:33 UTC",Atlas-SLV3C Centaur-D | ATS-4,StatusRetired,,Partial Failure
22
+ 2318,2318,RVSN USSR,"Site 107/1, Kapustin Yar, Russia","Thu Jul 29, 1982 19:40 UTC",Cosmos-3M (11K65M) | Cosmos 1397,StatusRetired,,Success
23
+ 472,472,Arianespace,"ELS, Guiana Space Centre, French Guiana, France","Thu Dec 17, 2015 11:51 UTC",Soyuz ST-B/Fregat-MT | Galileo FOC FM8-FM9,StatusActive,,Success
24
+ 4193,4193,RVSN USSR,"Mayak-2, Kapustin Yar, Russia","Fri Oct 27, 1961 16:30 UTC",Cosmos-2I (63S1) | DS-1 1,StatusRetired,,Failure
25
+ 742,742,Land Launch,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Mon Nov 30, 2009 21:00 UTC",Zenit-3 SLB | Intelsat 15,StatusActive,,Success
26
+ 854,854,MHI,"LA-Y1, Tanegashima Space Center, Japan","Fri Sep 14, 2007 01:31 UTC",H-IIA 2022 | SELENE,StatusRetired,,Success
27
+ 1880,1880,Arianespace,"ELA-1, Guiana Space Centre, French Guiana, France","Wed Jul 12, 1989 00:14 UTC",Ariane 3 | Olympus-1,StatusRetired,,Success
28
+ 1404,1404,ISAS,"Mu Pad, Uchinoura Space Center, Japan","Wed Feb 12, 1997 04:50 UTC",Mu-V / M-24 | Muses B,StatusRetired,,Success
29
+ 2111,2111,RVSN USSR,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Thu Sep 19, 1985 01:32 UTC",Tsyklon-2 | Cosmos 1682,StatusRetired,,Success
30
+ 2579,2579,RVSN USSR,"Site 32/2, Plesetsk Cosmodrome, Russia","Wed Jun 28, 1978 17:35 UTC",Tsyklon-3 | Cosmos 1025,StatusRetired,,Success
31
+ 1876,1876,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Tue Aug 08, 1989 23:25 UTC","Ariane 44LP | TVSAT-2, Hipparcos",StatusRetired,,Success
32
+ 2858,2858,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Wed Jan 07, 1976 15:34 UTC",Voskhod | Cosmos 788,StatusRetired,,Success
33
+ 4093,4093,RVSN USSR,"Mayak-2, Kapustin Yar, Russia","Sat Apr 06, 1963 03:01 UTC",Cosmos-2I (63S1) | DS-P1 #2,StatusRetired,,Failure
34
+ 2319,2319,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Wed Jul 21, 1982 09:40 UTC",Molniya-M /Block ML | Molniya-1 n†­100,StatusRetired,,Success
35
+ 893,893,CASC,"LC-2, Xichang Satellite Launch Center, China","Fri Dec 08, 2006 00:53 UTC",Long March 3A | Fengyun-2D,StatusActive,69.7 ,Success
36
+ 2284,2284,RVSN USSR,"Site 86/1, Kapustin Yar, Russia","Tue Mar 15, 1983 22:30 UTC",Cosmos-3MRB (65MRB) | Cosmos 1445 (BOR-4 Space Shuttle),StatusRetired,,Success
37
+ 2877,2877,CASC,"Site 138 (LA-2B), Jiuquan Satellite Launch Center, China","Sun Nov 16, 1975 03:29 UTC",Long March 2 | FSW-0 No.1,StatusRetired,,Success
38
+ 3926,3926,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Tue Nov 16, 1965 04:19 UTC",Molniya | Venera 3,StatusRetired,,Success
39
+ 1300,1300,Lockheed,"SLC-41, Cape Canaveral AFS, Florida, USA","Wed Aug 12, 1998 11:30 UTC",Titan IV(401)A | NROL-7 (Mercury),StatusRetired,,Failure
40
+ 1162,1162,NASA,"LC-39B, Kennedy Space Center, Florida, USA","Thu Nov 30, 2000 03:06 UTC",Space Shuttle Endeavour | STS-97,StatusRetired,450.0 ,Success
41
+ 2122,2122,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Wed Jul 17, 1985 01:05 UTC",Molniya-M /Block ML | Molniya-3 n†­116,StatusRetired,,Success
42
+ 2769,2769,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Fri Oct 22, 1976 09:11 UTC",Molniya-M /Block 2BL | Cosmos 862,StatusRetired,,Success
43
+ 2061,2061,Arianespace,"ELA-1, Guiana Space Centre, French Guiana, France","Sat May 31, 1986 00:53 UTC",Ariane 2 | Intelsat-5A 14,StatusRetired,,Failure
44
+ 3758,3758,US Air Force,"SLC-4W, Vandenberg AFB, California, USA","Tue Jun 20, 1967 16:19 UTC",Titan IIIB | OPS 4282,StatusRetired,59.0 ,Partial Failure
45
+ 359,359,CASC,"LC-201, Wenchang Satellite Launch Center, China","Thu Apr 20, 2017 11:41 UTC",Long March 7/YZ-1A | Tianzhou 1,StatusActive,,Success
46
+ 2257,2257,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Wed Jul 06, 1983 00:31 UTC",Cosmos-3M (11K65M) | Cosmos 1473 to 1480,StatusRetired,,Success
47
+ 1303,1303,VKS RF,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Fri Jul 10, 1998 06:30 UTC",Zenit-2 | Resurs-O1 n†­4 & Others,StatusRetired,,Success
48
+ 2455,2455,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Sat Jun 21, 1980 18:34 UTC",Molniya-M /Block ML | Molniya-1 n†­85,StatusRetired,,Success
49
+ 661,661,MHI,"LA-Y1, Tanegashima Space Center, Japan","Mon Dec 12, 2011 01:21 UTC",H-IIA 202 | IGS-Radar 3,StatusActive,90.0 ,Success
50
+ 3984,3984,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Sun Mar 07, 1965 08:59 UTC",Voskhod | Cosmos 59,StatusRetired,,Success
51
+ 3051,3051,Martin Marietta,"SLC-4E, Vandenberg AFB, California, USA","Wed Apr 10, 1974 20:20 UTC","Titan IIID | KH-9, SSF-B-25, IRCB",StatusRetired,,Success
52
+ 3387,3387,US Air Force,"SLC-4W, Vandenberg AFB, California, USA","Thu Jan 21, 1971 18:28 UTC",Titan III(23)B | OPS 7776,StatusRetired,,Success
53
+ 2472,2472,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Mon Mar 17, 1980 21:37 UTC",Cosmos-3M (11K65M) | Cosmos 1168,StatusRetired,,Success
54
+ 3418,3418,RVSN USSR,"Site 81/23, Baikonur Cosmodrome, Kazakhstan","Tue Oct 20, 1970 19:55 UTC",Proton K/Block D | Zond-8,StatusRetired,,Success
55
+ 756,756,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Fri Aug 28, 2009 03:59 UTC",Space Shuttle Discovery | STS-128,StatusRetired,450.0 ,Success
56
+ 797,797,ISRO,"Second Launch Pad, Satish Dhawan Space Centre, India","Wed Oct 22, 2008 00:52 UTC",PSLV-XL | Chandrayaan-1,StatusActive,31.0 ,Success
57
+ 550,550,Arianespace,"ELS, Guiana Space Centre, French Guiana, France","Thu Jul 10, 2014 18:55 UTC",Soyuz ST-B/Fregat-MT | O3b FM03/FM06-FM08,StatusActive,,Success
58
+ 3162,3162,General Dynamics,"LC-13, Cape Canaveral AFS, Florida, USA","Tue Mar 06, 1973 09:30 UTC",Atlas-SLV3A Agena-D | AFP-720 (Rhyolite-2),StatusRetired,,Success
59
+ 2491,2491,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Thu Nov 01, 1979",Cosmos-3M (11K65M) | Intercosmos 20,StatusRetired,,Success
60
+ 427,427,ULA,"SLC-41, Cape Canaveral AFS, Florida, USA","Fri Jun 24, 2016 14:30 UTC",Atlas V 551 | MUOS-5,StatusActive,153.0 ,Success
61
+ 1363,1363,Boeing,"SLC-2W, Vandenberg AFB, California, USA","Sat Sep 27, 1997 01:23 UTC",Delta II 7920-10C | MS-4,StatusRetired,,Success
62
+ 798,798,Northrop,"Stargazer, Ronald Reagan Ballistic Missile Defense Test Site, Marshall Islands, USA","Sun Oct 19, 2008 17:47 UTC",Pegasus XL | IBEX,StatusActive,40.0 ,Success
63
+ 1668,1668,VKS RF,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Tue Nov 17, 1992 07:47 UTC",Zenit-2 | Cosmos 2219,StatusRetired,,Success
64
+ 1346,1346,ILS,"SLC-36B, Cape Canaveral AFS, Florida, USA","Mon Dec 08, 1997 23:52 UTC",Atlas IIAS | Galaxy 8i,StatusRetired,,Success
65
+ 810,810,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Wed Jul 16, 2008 05:20 UTC",Zenit-3 SL | EchoStar XI,StatusActive,,Success
66
+ 241,241,SpaceX,"SLC-4E, Vandenberg AFB, California, USA","Tue May 22, 2018 19:47 UTC",Falcon 9 Block 4 | Iridium-6 & GRACE-FO,StatusRetired,62.0 ,Success
67
+ 1623,1623,Boeing,"SLC-17A, Cape Canaveral AFS, Florida, USA","Sat Jun 26, 1993 13:27 UTC",Delta II 7925 | USA-92 (GPS IIA-12)/PMG,StatusRetired,,Success
68
+ 2126,2126,RVSN USSR,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Fri Jun 21, 1985 08:29 UTC",Zenit-2 | EPN 03.0694 n†­2,StatusRetired,,Failure
69
+ 3414,3414,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Fri Oct 30, 1970 13:20 UTC",Voskhod | Cosmos 376,StatusRetired,,Success
70
+ 3759,3759,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Tue Jun 20, 1967 11:00 UTC",Voskhod | Zenit-4 n†­31,StatusRetired,,Failure
71
+ 1695,1695,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Thu Jun 25, 1992 16:12 UTC",Space Shuttle Columbia | STS-50,StatusRetired,450.0 ,Success
72
+ 2174,2174,RVSN USSR,"Site 32/2, Plesetsk Cosmodrome, Russia","Fri Sep 28, 1984 06:00 UTC",Tsyklon-3 | Cosmos 1602,StatusRetired,,Success
73
+ 553,553,ULA,"SLC-2W, Vandenberg AFB, California, USA","Wed Jul 02, 2014 09:56 UTC",Delta II 7320-10C | OCO-2,StatusRetired,,Success
74
+ 2842,2842,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Wed Mar 10, 1976 08:00 UTC",Soyuz U | Cosmos 806,StatusRetired,,Success
75
+ 3379,3379,ISAS,"Mu Pad, Uchinoura Space Center, Japan","Sun Feb 21, 1971 05:00 UTC",Mu-III C | Hakucho,StatusRetired,,Success
76
+ 773,773,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Mon Apr 20, 2009 08:15 UTC",Zenit-3 SL | Sicral-1B,StatusActive,,Success
77
+ 2167,2167,Arianespace,"ELA-1, Guiana Space Centre, French Guiana, France","Sat Nov 10, 1984 01:14 UTC","Ariane 3 | Spacenet 2, MARECS-2",StatusRetired,,Success
78
+ 3270,3270,General Dynamics,"SLC-36B, Cape Canaveral AFS, Florida, USA","Sun Jan 23, 1972 00:12 UTC",Atlas-SLV3C Centaur-D | Intelsat 4 F4,StatusRetired,,Success
79
+ 1314,1314,Lockheed,"SLC-4W, Vandenberg AFB, California, USA","Wed May 13, 1998 15:52 UTC",Titan II(23)G | NOAA-15,StatusRetired,35.0 ,Success
80
+ 2057,2057,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Thu Jun 19, 1986 21:09 UTC",Molniya-M /Block ML | Molniya-3 n†­123,StatusRetired,,Success
81
+ 209,209,CASC,"Site 9401 (SLS-2), Jiuquan Satellite Launch Center, China","Tue Oct 09, 2018 02:43 UTC",Long March 2C | Yaogan-32 Group 01,StatusActive,30.8 ,Success
82
+ 1603,1603,VKS RF,"Site 132/1, Plesetsk Cosmodrome, Russia","Tue Oct 26, 1993 13:00 UTC",Cosmos-3M (11K65M) | Cosmos 2265,StatusRetired,,Success
83
+ 700,700,ULA,"SLC-6, Vandenberg AFB, California, USA","Thu Jan 20, 2011 21:10 UTC",Delta IV Heavy | NROL-49,StatusActive,350.0 ,Success
84
+ 142,142,Blue Origin,"Blue Origin Launch Site, West Texas, Texas, USA","Thu May 02, 2019 13:35 UTC",New Shepard | NS-11,StatusActive,,Success
85
+ 4288,4288,US Navy,"LC-18A, Cape Canaveral AFS, Florida, USA","Tue Apr 14, 1959 02:49 UTC",Vanguard | Vanguard SLV-5,StatusRetired,,Failure
86
+ 115,115,Roscosmos,"Site 81/24, Baikonur Cosmodrome, Kazakhstan","Mon Aug 05, 2019 21:56 UTC",Proton-M/Briz-M | Cosmos 2539,StatusActive,65.0 ,Success
87
+ 3493,3493,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Wed Jan 21, 1970 12:00 UTC",Voskhod | Cosmos 322,StatusRetired,,Success
88
+ 1723,1723,RVSN USSR,"Site 133/3, Plesetsk Cosmodrome, Russia","Wed Nov 27, 1991 03:30 UTC",Cosmos-3M (11K65M) | Cosmos 2173,StatusRetired,,Success
89
+ 2929,2929,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Wed May 28, 1975 00:25 UTC",Cosmos-3M (11K65M) | Cosmos 732 to 739,StatusRetired,,Success
90
+ 2271,2271,RVSN USSR,"Site 16/2, Plesetsk Cosmodrome, Russia","Mon Apr 25, 1983 19:33 UTC",Molniya-M /Block 2BL | Cosmos 1456,StatusRetired,,Success
91
+ 1925,1925,IAI,"Pad 1, Palmachim Airbase, Israel","Mon Sep 19, 1988",Shavit | Ofek-1,StatusRetired,,Success
92
+ 1473,1473,Lockheed,"SLC-36A, Cape Canaveral AFS, Florida, USA","Fri Dec 15, 1995 00:23 UTC",Atlas IIA | Galaxy 3R,StatusRetired,,Success
93
+ 3088,3088,NASA,"LC-39B, Kennedy Space Center, Florida, USA","Fri Nov 16, 1973 14:01 UTC",Saturn IB | Skylab 4,StatusRetired,,Success
94
+ 49,49,SpaceX,"SLC-40, Cape Canaveral AFS, Florida, USA","Mon Feb 17, 2020 15:05 UTC",Falcon 9 Block 5 | Starlink V1 L4,StatusActive,50.0 ,Success
95
+ 4221,4221,US Air Force,"SLC-17A, Cape Canaveral AFS, Florida, USA","Sat Mar 25, 1961 15:17 UTC",Thor DM-19 Delta | Explorer 10,StatusRetired,,Success
96
+ 905,905,NASA,"LC-39B, Kennedy Space Center, Florida, USA","Sat Sep 09, 2006 15:14 UTC",Space Shuttle Atlantis | STS-115,StatusRetired,450.0 ,Success
97
+ 3229,3229,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Thu Jun 29, 1972",Molniya-M /Block SO-L | Prognoz n†­2,StatusRetired,,Success
98
+ 1044,1044,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Tue Jun 10, 2003 13:55 UTC",Zenit-3 SL | Thuraya-2,StatusActive,,Success
99
+ 3348,3348,RVSN USSR,"Site 133/3, Plesetsk Cosmodrome, Russia","Wed May 19, 1971 10:20 UTC",Cosmos-2I (63SM) | Cosmos 421,StatusRetired,,Success
100
+ 1543,1543,VKS RF,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Wed Nov 02, 1994 01:04 UTC",Tsyklon-2 | Cosmos 2293,StatusRetired,,Success
101
+ 4278,4278,US Air Force,"SLC-17A, Cape Canaveral AFS, Florida, USA","Thu Sep 17, 1959 14:34 UTC",Thor DM-18 Able-II | Transit 1A,StatusRetired,,Failure
102
+ 1779,1779,NASA,"LC-39B, Kennedy Space Center, Florida, USA","Sun Dec 02, 1990 06:49 UTC",Space Shuttle Columbia | STS-35,StatusRetired,450.0 ,Success
103
+ 1419,1419,VKS RF,"Site 43/4, Plesetsk Cosmodrome, Russia","Thu Oct 24, 1996 11:37 UTC",Molniya-M /Block ML | Molniya-3 n†­165,StatusRetired,,Success
104
+ 348,348,ISRO,"Second Launch Pad, Satish Dhawan Space Centre, India","Mon Jun 05, 2017 11:58 UTC",GSLV Mk III | GSAT-19,StatusActive,62.0 ,Success
105
+ 645,645,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Fri Jun 01, 2012 05:22 UTC",Zenit-3 SL | Intelsat-19,StatusActive,,Success
106
+ 3154,3154,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Thu Apr 19, 1973 08:59 UTC",Voskhod | Cosmos 554,StatusRetired,,Success
107
+ 3156,3156,General Dynamics,"SLC-36B, Cape Canaveral AFS, Florida, USA","Fri Apr 06, 1973 02:11 UTC",Atlas-SLV3D Centaur-D1A | Pioneer 11,StatusRetired,,Success
108
+ 3642,3642,General Dynamics,"SLC-3E, Vandenberg AFB, California, USA","Fri Aug 16, 1968 20:57 UTC",Atlas-SLV3 Burner-2 | STP P68-1,StatusRetired,,Failure
109
+ 3298,3298,ASI,"SM Launch Tab, San Marco Launch Platform, Kenya","Mon Nov 15, 1971 05:52 UTC",Scout B | Explorer 45,StatusRetired,,Success
110
+ 4255,4255,US Air Force,"SLC-17A, Cape Canaveral AFS, Florida, USA","Fri Aug 12, 1960 09:39 UTC",Thor DM-19 Delta | Echo 1A,StatusRetired,,Success
111
+ 2464,2464,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Wed May 14, 1980 13:00 UTC",Cosmos-3M (11K65M) | Cosmos 1179,StatusRetired,,Success
112
+ 1463,1463,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Mon Feb 05, 1996 07:19 UTC",Ariane 44P | N-Star B,StatusRetired,,Success
113
+ 828,828,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Wed Mar 19, 2008 22:47 UTC",Zenit-3 SL | DirecTV-11,StatusActive,,Success
114
+ 3381,3381,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Wed Feb 17, 1971 21:10 UTC",Cosmos-3M (11K65M) | Cosmos 395,StatusRetired,,Success
115
+ 2817,2817,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Wed May 26, 1976 09:00 UTC",Voskhod | Cosmos 821,StatusRetired,,Success
116
+ 388,388,MHI,"LA-Y2, Tanegashima Space Center, Japan","Fri Dec 09, 2016 13:26 UTC",H-IIB | HTV-6,StatusRetired,112.5 ,Success
117
+ 30,30,ULA,"SLC-41, Cape Canaveral AFS, Florida, USA","Sun May 17, 2020 13:14 UTC",Atlas V 501 | OTV-6 (USSF-7),StatusActive,120.0 ,Success
118
+ 1520,1520,VKS RF,"Site 132/1, Plesetsk Cosmodrome, Russia","Wed Mar 22, 1995 04:09 UTC",Cosmos-3M (11K65M) | Cosmos 2310,StatusRetired,,Success
119
+ 2643,2643,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Sat Dec 10, 1977 01:18 UTC",Soyuz U | Soyuz 26,StatusRetired,,Success
120
+ 3260,3260,General Dynamics,"SLC-36A, Cape Canaveral AFS, Florida, USA","Fri Mar 03, 1972 01:49 UTC",Atlas-SLV3C Centaur-D | Pioneer 10,StatusRetired,,Success
121
+ 850,850,Arianespace,"ELA-3, Guiana Space Centre, French Guiana, France","Fri Oct 05, 2007 22:02 UTC",Ariane 5 GS | Intelsat 11 & Optus D2,StatusRetired,,Success
122
+ 1194,1194,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Fri May 19, 2000 10:11 UTC",Space Shuttle Atlantis | STS-101,StatusRetired,450.0 ,Success
123
+ 4105,4105,US Air Force,"SLC-17A, Cape Canaveral AFS, Florida, USA","Thu Dec 13, 1962 23:30 UTC",Delta B | Relay 1,StatusRetired,,Success
124
+ 2063,2063,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Fri May 23, 1986 12:54 UTC",Cosmos-3M (11K65M) | Cosmos 1745,StatusRetired,,Success
125
+ 4259,4259,US Air Force,"SLC-1W (75-3-4), Vandenberg AFB, California, USA","Wed Jun 29, 1960 22:00 UTC",Thor-DM18 Agena-A | Discoverer 12,StatusRetired,,Failure
126
+ 843,843,ULA,"SLC-37B, Cape Canaveral AFS, Florida, USA","Sun Nov 11, 2007 01:50 UTC",Delta IV Heavy | DSP-23,StatusActive,350.0 ,Success
127
+ 344,344,CASC,"LC-2, Xichang Satellite Launch Center, China","Sun Jun 18, 2017 16:12 UTC",Long March 3B/E | ChinaSat 9A,StatusActive,29.15 ,Partial Failure
128
+ 2624,2624,CASC,"Site 138 (LA-2B), Jiuquan Satellite Launch Center, China","Thu Jan 26, 1978 04:58 UTC",Long March 2 | FSW-0 No.3,StatusRetired,,Success
129
+ 4185,4185,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Mon Dec 11, 1961 09:39 UTC",Vostok | Zenit-2 n†­1,StatusRetired,,Failure
130
+ 2872,2872,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Fri Nov 28, 1975 00:10 UTC",Cosmos-3M (11K65M) | Cosmos 783,StatusRetired,,Success
131
+ 1339,1339,ILS,"Site 81/23, Baikonur Cosmodrome, Kazakhstan","Wed Dec 24, 1997 23:19 UTC",Proton K/Block DM-3 | PAS-22,StatusRetired,,Partial Failure
132
+ 2163,2163,General Dynamics,"SLC-3W, Vandenberg AFB, California, USA","Wed Dec 12, 1984 10:42 UTC",Atlas-E/F Star-37S-ISS | NOAA-F,StatusRetired,,Success
133
+ 57,57,SpaceX,"LC-39A, Kennedy Space Center, Florida, USA","Sun Jan 19, 2020 15:30 UTC",Falcon 9 Block 5 | Crew Dragon Inflight Abort Test,StatusActive,50.0 ,Success
134
+ 4131,4131,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Sat Sep 01, 1962 02:12 UTC",Molniya | 2MV-1 n†­2 (Venera 2),StatusRetired,,Failure
135
+ 4096,4096,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Thu Mar 21, 1963 08:30 UTC",Vostok-2 | Cosmos 13,StatusRetired,,Success
136
+ 1477,1477,CASC,"LC-2, Xichang Satellite Launch Center, China","Tue Nov 28, 1995 11:30 UTC",Long March 2E | AsiaSat 2,StatusRetired,,Success
137
+ 1185,1185,Northrop,"SLC-8, Vandenberg AFB, California, USA","Wed Jul 19, 2000 20:09 UTC",Minotaur I | MightySat 2.1,StatusActive,40.0 ,Success
138
+ 4020,4020,US Air Force,"SLC-20, Cape Canaveral AFS, Florida, USA","Tue Sep 01, 1964 15:00 UTC",Titan IIIA | Transtage 1,StatusRetired,63.23 ,Failure
139
+ 3122,3122,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Wed Aug 01, 1973 14:00 UTC",Voskhod | Cosmos 578,StatusRetired,,Success
140
+ 484,484,ULA,"SLC-41, Cape Canaveral AFS, Florida, USA","Fri Oct 02, 2015 10:28 UTC",Atlas V 421 | Morelos-3,StatusActive,123.0 ,Success
141
+ 3545,3545,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Wed Jul 16, 1969 13:32 UTC",Saturn V | Apollo 11,StatusRetired,"1,160.0 ",Success
142
+ 2907,2907,CASC,"Site 138 (LA-2B), Jiuquan Satellite Launch Center, China","Sat Jul 26, 1975 13:30 UTC",Feng Bao 1 | JSSW-3,StatusRetired,,Success
143
+ 2645,2645,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Thu Dec 08, 1977 11:00 UTC",Cosmos-3M (11K65M) | Cosmos 965,StatusRetired,,Success
144
+ 277,277,Arianespace,"ELA-3, Guiana Space Centre, French Guiana, France","Thu Jan 25, 2018 22:20 UTC",Ariane 5 ECA | SES-14/GOLD & Al Yah-3,StatusActive,200.0 ,Partial Failure
145
+ 3484,3484,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Fri Mar 13, 1970 08:00 UTC",Voskhod | Cosmos 326,StatusRetired,,Success
146
+ 3944,3944,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Wed Aug 25, 1965 10:10 UTC",Voskhod | Cosmos 79,StatusRetired,,Success
147
+ 1799,1799,RVSN USSR,"Site 133/3, Plesetsk Cosmodrome, Russia","Fri Sep 14, 1990 05:59 UTC",Cosmos-3M (11K65M) | Cosmos 2100,StatusRetired,,Success
148
+ 1126,1126,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Tue Sep 25, 2001 23:21 UTC",Ariane 44P | Atlantic Bird 2,StatusRetired,,Success
149
+ 1593,1593,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Mon Jan 24, 1994 21:37 UTC","Ariane 44LP | Eutelsat 2F5, Turksat 1A",StatusRetired,,Failure
150
+ 2214,2214,RVSN USSR,"Site 16/2, Plesetsk Cosmodrome, Russia","Tue Mar 06, 1984 17:10 UTC",Molniya-M /Block 2BL | Cosmos 1541,StatusRetired,,Success
151
+ 268,268,MHI,"LA-Y1, Tanegashima Space Center, Japan","Tue Feb 27, 2018 04:34 UTC",H-IIA 202 | IGS-Optical 6,StatusActive,90.0 ,Success
152
+ 2162,2162,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Fri Dec 14, 1984 20:40 UTC",Molniya-M /Block ML | Molniya-1 n†­113,StatusRetired,,Success
153
+ 2758,2758,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Thu Dec 02, 1976 02:44 UTC",Molniya-M /Block ML | Molniya-2 n†­64,StatusRetired,,Success
154
+ 2513,2513,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Tue Jun 05, 1979 23:28 UTC",Molniya-M /Block ML | Molniya-3 n†­80,StatusRetired,,Success
155
+ 4035,4035,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Tue Jun 23, 1964 10:00 UTC",Vostok-2 | Cosmos 33,StatusRetired,,Success
156
+ 1795,1795,RVSN USSR,"Site 45/2, Baikonur Cosmodrome, Kazakhstan","Thu Oct 04, 1990 04:27 UTC",Zenit-2 | Tselina-2 n†­8,StatusRetired,,Failure
157
+ 2015,2015,ISAS,"Mu Pad, Uchinoura Space Center, Japan","Thu Feb 05, 1987 06:30 UTC",Mu-III S2 | Ginga,StatusRetired,,Success
158
+ 1774,1774,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Tue Jan 15, 1991 23:10 UTC","Ariane 44L | Italsat-1, Eutelsat 2F2",StatusRetired,,Success
159
+ 2065,2065,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Fri Apr 18, 1986 19:50 UTC",Molniya-M /Block ML | Molniya-3 n†­122,StatusRetired,,Success
160
+ 1903,1903,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Tue Feb 14, 1989",Cosmos-3M (11K65M) | Cosmos 2002,StatusRetired,,Success
161
+ 3462,3462,CECLES,"LA-5B, RAAF Woomera Range Complex, Australia","Fri Jun 12, 1970 06:06 UTC",Europa 1 | STV-3,StatusRetired,,Failure
162
+ 1375,1375,CASC,"LC-2, Xichang Satellite Launch Center, China","Tue Aug 19, 1997 17:50 UTC",Long March 3B | Agila-2,StatusActive,,Success
163
+ 4122,4122,NASA,"LC-14, Cape Canaveral AFS, Florida, USA","Wed Oct 03, 1962 09:13 UTC",Atlas-D Mercury | Sigma 7 (MA-8),StatusRetired,,Success
164
+ 2384,2384,Martin Marietta,"SLC-4E, Vandenberg AFB, California, USA","Thu Sep 03, 1981 18:29 UTC",Titan IIID | KH-11,StatusRetired,,Success
165
+ 3067,3067,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Wed Jan 30, 1974 11:00 UTC",Voskhod | Cosmos 630,StatusRetired,,Success
166
+ 226,226,SpaceX,"SLC-4E, Vandenberg AFB, California, USA","Wed Jul 25, 2018 11:39 UTC",Falcon 9 Block 5 | Iridium-7,StatusActive,50.0 ,Success
167
+ 3866,3866,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Sat Jun 25, 1966 10:18 UTC",Vostok-2M | Cosmos 122,StatusRetired,,Success
168
+ 3478,3478,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Wed Apr 08, 1970 10:15 UTC",Voskhod | Cosmos 331,StatusRetired,,Success
169
+ 1179,1179,NASA,"LC-39B, Kennedy Space Center, Florida, USA","Fri Sep 08, 2000 12:45 UTC",Space Shuttle Atlantis | STS-106,StatusRetired,450.0 ,Success
170
+ 3193,3193,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Wed Oct 18, 1972 11:59 UTC",Voskhod | Cosmos 525,StatusRetired,,Success
171
+ 3923,3923,Arm??e de l'Air,"Brigitte, Hammaguir, Algeria, France","Fri Nov 26, 1965 14:47 UTC",Diamant A | Ast??rix,StatusRetired,,Success
172
+ 71,71,Blue Origin,"Blue Origin Launch Site, West Texas, Texas, USA","Wed Dec 11, 2019 17:55 UTC",New Shepard | NS-12,StatusActive,,Success
173
+ 2672,2672,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Tue Aug 30, 1977 18:06 UTC",Molniya-M /Block ML | Molniya-1 n†­70,StatusRetired,,Success
174
+ 2644,2644,General Dynamics,"SLC-3W, Vandenberg AFB, California, USA","Thu Dec 08, 1977 17:45 UTC",Atlas-E/F MSD | NOSS-2,StatusRetired,,Success
175
+ 3687,3687,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Thu Mar 21, 1968 09:50 UTC",Voskhod | Cosmos 208,StatusRetired,,Success
176
+ 1172,1172,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Wed Oct 11, 2000 23:17 UTC",Space Shuttle Discovery | STS-92,StatusRetired,450.0 ,Success
177
+ 2391,2391,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Thu Aug 06, 1981 11:49 UTC",Cosmos-3M (11K65M) | Cosmos 1287 to 1294,StatusRetired,,Success
178
+ 3661,3661,RVSN USSR,"Site 86/1, Kapustin Yar, Russia","Tue Jun 11, 1968 21:29 UTC",Cosmos-2I (63SM) | Cosmos 225,StatusRetired,,Success
179
+ 3,3,Roscosmos,"Site 200/39, Baikonur Cosmodrome, Kazakhstan","Thu Jul 30, 2020 21:25 UTC",Proton-M/Briz-M | Ekspress-80 & Ekspress-103,StatusActive,65.0 ,Success
180
+ 2566,2566,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Tue Oct 03, 1978 11:00 UTC",Soyuz U | Cosmos 1033,StatusRetired,,Success
181
+ 3183,3183,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Sat Dec 02, 1972 04:39 UTC",Molniya-M /Block L | Molniya-1 n†­30,StatusRetired,,Success
182
+ 1724,1724,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Sun Nov 24, 1991 23:44 UTC",Space Shuttle Atlantis | STS-44,StatusRetired,450.0 ,Success
183
+ 3768,3768,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Thu Jun 01, 1967 10:40 UTC",Voskhod | Cosmos 162,StatusRetired,,Success
184
+ 514,514,SpaceX,"SLC-40, Cape Canaveral AFS, Florida, USA","Mon Mar 02, 2015 03:50 UTC",Falcon 9 v1.1 | ABS-3A & EUTELSAT 115 West B,StatusRetired,56.5 ,Success
185
+ 1497,1497,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Wed Aug 02, 1995 23:59 UTC",Molniya-M /Block SO-L | Interbol 1 & Magion 4,StatusRetired,,Success
186
+ 3590,3590,Martin Marietta,"SLC-41, Cape Canaveral AFS, Florida, USA","Sun Feb 09, 1969 21:09 UTC",Titan IIIC | OPS-0757 (Tacsat),StatusRetired,,Success
187
+ 3204,3204,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Sat Sep 16, 1972 08:20 UTC",Voskhod | Cosmos 519,StatusRetired,,Success
188
+ 2653,2653,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Fri Oct 21, 1977 10:05 UTC",Cosmos-3M (11K65M) | Cosmos 959,StatusRetired,,Success
189
+ 4224,4224,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Thu Mar 09, 1961 06:29 UTC",Vostok | Korabl-Sputnik 4,StatusRetired,,Success
190
+ 2544,2544,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Thu Dec 14, 1978 15:20 UTC",Soyuz U | Cosmos 1061,StatusRetired,,Success
191
+ 2564,2564,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Fri Oct 06, 1978 15:30 UTC",Soyuz U | Cosmos 1042,StatusRetired,,Success
192
+ 1597,1597,Boeing,"SLC-17A, Cape Canaveral AFS, Florida, USA","Wed Dec 08, 1993 00:48 UTC",Delta II 7925 | NATO 4B,StatusRetired,,Success
193
+ 3995,3995,General Dynamics,"SLC-4W, Vandenberg AFB, California, USA","Sat Jan 23, 1965 20:09 UTC",Atlas-SLV3 Agena-D | KH-7 Gambit 4015,StatusRetired,,Success
194
+ 4132,4132,US Air Force,"SLC-2W, Vandenberg AFB, California, USA","Wed Aug 29, 1962 01:00 UTC",Thor DM-21 Agena-D | FTV 1153,StatusRetired,,Success
195
+ 4033,4033,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Wed Jul 01, 1964 11:00 UTC",Voskhod | Cosmos 34,StatusRetired,,Success
196
+ 1617,1617,General Dynamics,"SLC-3W, Vandenberg AFB, California, USA","Mon Aug 09, 1993 10:02 UTC",Atlas-E/F Star-37S-ISS | NOAA-I,StatusRetired,,Success
197
+ 1368,1368,ILS,"SLC-36A, Cape Canaveral AFS, Florida, USA","Thu Sep 04, 1997 12:03 UTC",Atlas IIAS | GE-3,StatusRetired,,Success
198
+ 4007,4007,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Wed Oct 28, 1964 10:40 UTC",Vostok-2 | Cosmos 50,StatusRetired,,Success
199
+ 1102,1102,CASC,"Site 901 (SLS-1), Jiuquan Satellite Launch Center, China","Mon Mar 25, 2002 14:15 UTC",Long March 2F | Shenzhou 3,StatusActive,,Success
200
+ 952,952,CASC,"Site 9401 (SLS-2), Jiuquan Satellite Launch Center, China","Tue Aug 02, 2005 07:30 UTC",Long March 2C | FSW-4 No. 2,StatusActive,30.8 ,Success
201
+ 3546,3546,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Thu Jul 10, 1969 09:00 UTC",Voskhod | Cosmos 289,StatusRetired,,Success
202
+ 1656,1656,VKS RF,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Fri Dec 25, 1992 05:56 UTC",Zenit-2 | Cosmos 2227,StatusRetired,,Success
203
+ 1971,1971,RVSN USSR,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Sat Dec 12, 1987 05:40 UTC",Tsyklon-2 | Cosmos 1900,StatusRetired,,Success
204
+ 2592,2592,RVSN USSR,"Site 90/19, Baikonur Cosmodrome, Kazakhstan","Fri May 19, 1978 00:21 UTC",Tsyklon-2 | Cosmos 1009,StatusRetired,,Success
205
+ 738,738,Roscosmos,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Wed Feb 03, 2010 03:45 UTC",Soyuz U | Soyuz-U,StatusRetired,,Success
206
+ 2845,2845,RVSN USSR,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Mon Feb 16, 1976 08:29 UTC",Tsyklon-2 | Cosmos 804,StatusRetired,,Success
207
+ 3323,3323,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Thu Aug 05, 1971 10:00 UTC",Voskhod | Cosmos 432,StatusRetired,,Success
208
+ 2405,2405,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Thu May 14, 1981 21:45 UTC",Vostok-2M | Meteor-2 n†­8,StatusRetired,,Success
209
+ 4181,4181,US Air Force,"SLC-1W (75-3-4), Vandenberg AFB, California, USA","Sat Jan 13, 1962 21:41 UTC",Thor DM-21 Agena-B | Discoverer 37,StatusRetired,,Failure
210
+ 3942,3942,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Thu Sep 09, 1965 09:30 UTC",Voskhod | Cosmos 85,StatusRetired,,Success
211
+ 1147,1147,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Sun Mar 18, 2001 22:33 UTC",Zenit-3 SL | XM-2,StatusActive,,Success
212
+ 3525,3525,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Sat Oct 11, 1969 11:10 UTC",Soyuz | Soyuz 6,StatusRetired,,Success
213
+ 4222,4222,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Sat Mar 25, 1961 05:54 UTC",Vostok | Korabl-Sputnik 5,StatusRetired,,Success
214
+ 3875,3875,General Dynamics,"SLC-36A, Cape Canaveral AFS, Florida, USA","Mon May 30, 1966 14:41 UTC",Atlas-LV3C Centaur-D | Surveyor 1,StatusRetired,,Success
215
+ 983,983,CASC,"Site 9401 (SLS-2), Jiuquan Satellite Launch Center, China","Mon Sep 27, 2004 08:00 UTC",Long March 2D | FSW-3 No.2,StatusActive,29.75 ,Success
216
+ 3052,3052,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Thu Apr 04, 1974 08:30 UTC",Voskhod | Cosmos 639,StatusRetired,,Success
217
+ 1599,1599,General Dynamics,"SLC-36A, Cape Canaveral AFS, Florida, USA","Sun Nov 28, 1993 23:40 UTC",Atlas II | USA-97 (DSCS IIIB-10,StatusRetired,,Success
218
+ 3057,3057,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Thu Mar 14, 1974 10:29 UTC",Voskhod | Cosmos 635,StatusRetired,,Success
219
+ 3658,3658,RVSN USSR,"Site 41/15, Baikonur Cosmodrome, Kazakhstan","Sat Jun 15, 1968",Cosmos-3 (11K65) | Strela-2 #4,StatusRetired,,Failure
220
+ 1114,1114,VKS RF,"Site 32/1, Plesetsk Cosmodrome, Russia","Fri Dec 28, 2001 03:24 UTC",Tsyklon-3 | Cosmos 2384 to 2386 & Gonets 10 to 12,StatusRetired,,Success
221
+ 625,625,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Mon Dec 03, 2012 20:43 UTC",Zenit-3 SL | Eutelsat-70B,StatusActive,,Success
222
+ 4124,4124,US Air Force,"SLC-2W, Vandenberg AFB, California, USA","Sat Sep 29, 1962 23:34 UTC",Thor DM-21 Agena-D | FTV 1154,StatusRetired,,Success
223
+ 1872,1872,Martin Marietta,"SLC-40, Cape Canaveral AFS, Florida, USA","Mon Sep 04, 1989 05:54 UTC",Titan 34D | DSCS-II-16 & DSCS-III-A2,StatusRetired,,Success
224
+ 1127,1127,Northrop,"SLC-576E, Vandenberg AFB, California, USA","Fri Sep 21, 2001 18:49 UTC",Minotaur C (Taurus) | Orbview-4/QuikTOMS,StatusActive,45.0 ,Failure
225
+ 3736,3736,RVSN USSR,"Site 162, Baikonur Cosmodrome, Kazakhstan","Fri Sep 22, 1967 14:05 UTC",Tsyklon | Cosmos 179,StatusRetired,,Success
226
+ 1278,1278,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Fri Dec 04, 1998 08:35 UTC",Space Shuttle Endeavour | STS-88,StatusRetired,450.0 ,Success
227
+ 855,855,VKS RF,"Site 132/1, Plesetsk Cosmodrome, Russia","Tue Sep 11, 2007 13:05 UTC",Cosmos-3M (11K65M) | Cosmos 2429,StatusRetired,,Success
228
+ 1848,1848,RVSN USSR,"Site 32/1, Plesetsk Cosmodrome, Russia","Tue Jan 30, 1990 11:20 UTC",Tsyklon-3 | Cosmos 2058,StatusRetired,,Success
229
+ 513,513,ULA,"SLC-41, Cape Canaveral AFS, Florida, USA","Fri Mar 13, 2015 02:44 UTC",Atlas V 421 | MMS,StatusActive,123.0 ,Success
230
+ 557,557,MHI,"LA-Y1, Tanegashima Space Center, Japan","Sat May 24, 2014 03:05 UTC","H-IIA 202 | Daichi 2, SPROUT & Others",StatusActive,90.0 ,Success
231
+ 1292,1292,VKS RF,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Wed Sep 09, 1998 20:29 UTC",Zenit-2 | Globalstar Satellites,StatusRetired,,Failure
232
+ 2965,2965,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Thu Feb 06, 1975 04:49 UTC",Molniya-M /Block L | Molniya-2 n†­47,StatusRetired,,Success
233
+ 2942,2942,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Fri Apr 18, 1975 10:00 UTC",Voskhod | Cosmos 728,StatusRetired,,Success
234
+ 1205,1205,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Fri Feb 18, 2000 01:04 UTC",Ariane 44LP | Superbird 4,StatusRetired,,Success
235
+ 789,789,Arianespace,"ELA-3, Guiana Space Centre, French Guiana, France","Sat Dec 20, 2008 22:35 UTC",Ariane 5 ECA | Hot Bird 9 & Eutelsat W2M,StatusActive,200.0 ,Success
236
+ 3906,3906,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Thu Feb 10, 1966 08:40 UTC",Vostok-2 | Cosmos 107,StatusRetired,,Success
237
+ 3798,3798,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Mon Feb 27, 1967 08:45 UTC",Vostok-2 | Cosmos 143,StatusRetired,,Partial Failure
238
+ 253,253,ULA,"SLC-41, Cape Canaveral AFS, Florida, USA","Sat Apr 14, 2018 23:13 UTC",Atlas V 551 | AFSPC-11,StatusActive,153.0 ,Success
239
+ 1981,1981,RVSN USSR,"Site 32/1, Plesetsk Cosmodrome, Russia","Mon Sep 07, 1987 23:50 UTC",Tsyklon-3 | Cosmos 1875 to 1880,StatusRetired,,Success
240
+ 3098,3098,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Sat Oct 20, 1973 10:14 UTC",Voskhod | Cosmos 602,StatusRetired,,Success
241
+ 1780,1780,General Dynamics,"SLC-3W, Vandenberg AFB, California, USA","Sat Dec 01, 1990 15:57 UTC",Atlas-E/F Star-37S-ISS | DMSP F-10,StatusRetired,,Success
242
+ 1009,1009,VKS RF,"Site 16/2, Plesetsk Cosmodrome, Russia","Wed Feb 18, 2004 07:06 UTC",Molniya-M /Block ML | Cosmos 2405 (Molniya-1T n†­174),StatusRetired,,Success
243
+ 3278,3278,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Sun Dec 19, 1971 22:50 UTC",Molniya-M /Block L | Molniya-1 n†­25,StatusRetired,,Success
244
+ 333,333,Arianespace,"ELV-1 (SLV), Guiana Space Centre, French Guiana, France","Wed Aug 02, 2017 01:58 UTC",Vega | OPSAT 3000 & VEN†æS,StatusActive,37.0 ,Success
245
+ 3016,3016,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Tue Jul 23, 1974 01:23 UTC",Molniya-M /Block L | Molniya-2 n†­42,StatusRetired,,Success
246
+ 503,503,Blue Origin,"Blue Origin Launch Site, West Texas, Texas, USA","Wed Apr 29, 2015",New Shepard | NS-1,StatusActive,,Success
247
+ 3721,3721,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Mon Oct 30, 1967 08:12 UTC",Soyuz | Cosmos 188,StatusRetired,,Success
248
+ 861,861,VKS RF,"Site 132/1, Plesetsk Cosmodrome, Russia","Mon Jul 02, 2007 19:38 UTC",Cosmos-3M (11K65M) | SAR-Lupe 2,StatusRetired,,Success
249
+ 136,136,SpaceX,"SLC-40, Cape Canaveral AFS, Florida, USA","Fri May 24, 2019 02:30 UTC",Falcon 9 Block 5 | Starlink V0.9,StatusActive,50.0 ,Success
250
+ 4140,4140,US Air Force,"SLC-2E (75-1-1), Vandenberg AFB, California, USA","Thu Aug 02, 1962 00:17 UTC",Thor DM-21 Agena-D | FTV 1152,StatusRetired,,Success
251
+ 1468,1468,NASA,"LC-39B, Kennedy Space Center, Florida, USA","Thu Jan 11, 1996 09:41 UTC",Space Shuttle Endeavour | STS-72,StatusRetired,450.0 ,Success
252
+ 3309,3309,RVSN USSR,"Site 81/24, Baikonur Cosmodrome, Kazakhstan","Tue Sep 28, 1971 10:00 UTC",Proton K/Block D | Luna-19,StatusRetired,,Success
253
+ 2557,2557,RVSN USSR,"Site 32/2, Plesetsk Cosmodrome, Russia","Thu Oct 26, 1978 07:00 UTC",Tsyklon-3 | Cosmos 1045 & Radio 1 and 2,StatusRetired,,Success
254
+ 674,674,MHI,"LA-Y1, Tanegashima Space Center, Japan","Sun Sep 11, 2011 11:17 UTC",H-IIA 202 | Michibiki 1,StatusActive,90.0 ,Success
255
+ 3073,3073,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Wed Dec 26, 1973",Cosmos-3M (11K65M) | Oreol-2,StatusRetired,,Success
256
+ 3611,3611,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Sat Nov 30, 1968 12:00 UTC",Cosmos-3M (11K65M) | Cosmos 256,StatusRetired,,Success
257
+ 2282,2282,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Thu Mar 24, 1983 20:55 UTC",Cosmos-3M (11K65M) | Cosmos 1447,StatusRetired,,Success
258
+ 2740,2740,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Mon Feb 07, 1977 16:11 UTC",Soyuz U | Soyuz 24,StatusRetired,,Success
259
+ 3389,3389,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Wed Jan 20, 1971 11:24 UTC",Vostok-2M | Meteor n†­18,StatusRetired,,Success
260
+ 1384,1384,CASC,"LC-3, Xichang Satellite Launch Center, China","Tue Jun 10, 1997 12:01 UTC",Long March 3 | Fengyun-2A,StatusRetired,,Success
261
+ 128,128,Rocket Lab,"Rocket Lab LC-1A, M?hia Peninsula, New Zealand","Sat Jun 29, 2019 04:30 UTC",Electron/Curie | Make it Rain,StatusActive,7.5 ,Success
262
+ 474,474,Roscosmos,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Fri Dec 11, 2015 13:45 UTC",Zenit-3 SLBF | Elektro-L n†­2,StatusActive,,Success
263
+ 3663,3663,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Tue Jun 04, 1968 18:45 UTC",Cosmos-3M (11K65M) | Sfera #2,StatusRetired,,Failure
264
+ 1184,1184,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Fri Jul 28, 2000 22:41 UTC",Zenit-3 SL | PAS 9,StatusActive,,Success
265
+ 2212,2212,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Fri Mar 16, 1984 23:29 UTC",Molniya-M /Block ML | Molniya-1 n†­110,StatusRetired,,Success
266
+ 2920,2920,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Fri Jun 20, 1975 06:54 UTC",Vostok-2M | Cosmos 744,StatusRetired,,Success
267
+ 3005,3005,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Thu Aug 29, 1974 15:00 UTC",Cosmos-3M (11K65M) | Cosmos 675,StatusRetired,,Success
268
+ 339,339,Arianespace,"ELA-3, Guiana Space Centre, French Guiana, France","Wed Jun 28, 2017 21:15 UTC","Ariane 5 ECA | Hellas Sat 3-Inmarsat S EAN, GSAT-17",StatusActive,200.0 ,Success
269
+ 873,873,Northrop,"Stargazer, Vandenberg AFB, California, USA","Wed Apr 25, 2007 20:26 UTC",Pegasus XL | AIM,StatusActive,40.0 ,Success
270
+ 1137,1137,NASA,"LC-39B, Kennedy Space Center, Florida, USA","Thu Jul 12, 2001 09:03 UTC",Space Shuttle Atlantis | STS-104,StatusRetired,450.0 ,Success
271
+ 1595,1595,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Sat Dec 18, 1993 01:27 UTC","Ariane 44L | DBS-1, Thaicom-1",StatusRetired,,Success
272
+ 3733,3733,RVSN USSR,"Site 81/23, Baikonur Cosmodrome, Kazakhstan","Wed Sep 27, 1967 21:11 UTC",Proton K/Block D | Zond,StatusRetired,,Failure
273
+ 1919,1919,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Tue Oct 25, 1988 18:02 UTC",Molniya-M /Block 2BL | Cosmos 1977,StatusRetired,,Success
274
+ 4095,4095,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Tue Apr 02, 1963 08:04 UTC",Molniya | Luna 4,StatusRetired,,Success
275
+ 1691,1691,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Wed Jul 08, 1992 09:53 UTC",Molniya-M /Block 2BL | Cosmos 2196,StatusRetired,,Success
276
+ 1107,1107,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Sat Feb 23, 2002 06:59 UTC",Ariane 44L | Intelsat 904,StatusRetired,,Success
277
+ 3500,3500,RVSN USSR,"Site 86/1, Kapustin Yar, Russia","Thu Dec 25, 1969 09:59 UTC",Cosmos-2I (63SM) | Intercosmos-2,StatusRetired,,Success
278
+ 3068,3068,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Tue Jan 29, 1974 05:29 UTC",Soyuz | Cosmos 613,StatusRetired,,Success
279
+ 3399,3399,CNES,"ELD, Guiana Space Centre, French Guiana, France","Sat Dec 12, 1970 12:00 UTC",Diamant B | P??ole,StatusRetired,,Success
280
+ 2128,2128,RVSN USSR,"Site 16/2, Plesetsk Cosmodrome, Russia","Tue Jun 18, 1985 00:40 UTC",Molniya-M /Block 2BL | Cosmos 1661,StatusRetired,,Success
281
+ 907,907,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Tue Aug 22, 2006 03:26 UTC",Zenit-3 SL | Koreasat 5,StatusActive,,Success
282
+ 1501,1501,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Fri Jul 07, 1995 16:23 UTC","Ariane 40 | Helios 1A, Cerise, LBSAT-1",StatusRetired,,Success
283
+ 3691,3691,RVSN USSR,"Site 86/1, Kapustin Yar, Russia","Wed Mar 06, 1968",Cosmos-2I (63SM) | DS-U1-Ya #1,StatusRetired,,Failure
284
+ 1401,1401,Lockheed,"SLC-40, Cape Canaveral AFS, Florida, USA","Sun Feb 23, 1997 20:20 UTC",Titan IV(402)B | DSP,StatusRetired,,Success
285
+ 3503,3503,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Sat Dec 20, 1969 03:26 UTC",Cosmos-3M (11K65M) | Cosmos 315,StatusRetired,,Success
286
+ 451,451,ULA,"SLC-41, Cape Canaveral AFS, Florida, USA","Wed Mar 23, 2016 03:05 UTC",Atlas V 401 | CRS OA-6,StatusActive,109.0 ,Success
287
+ 2060,2060,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Fri Jun 06, 1986 03:57 UTC",Cosmos-3M (11K65M) | Cosmos 1748 to 1755,StatusRetired,,Success
288
+ 1406,1406,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Thu Jan 30, 1997 22:04 UTC","Ariane 44L | GE-2, Nahuel 1A",StatusRetired,,Success
289
+ 3310,3310,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Tue Sep 28, 1971 07:40 UTC",Voskhod | Cosmos 441,StatusRetired,,Success
290
+ 705,705,Arianespace,"ELA-3, Guiana Space Centre, French Guiana, France","Fri Nov 26, 2010 18:39 UTC","Ariane 5 ECA | Intelsat 17, HYLAS-1",StatusActive,200.0 ,Success
291
+ 3008,3008,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Fri Aug 16, 1974 03:41 UTC",Vostok-2M | Cosmos 673,StatusRetired,,Success
292
+ 2456,2456,Martin Marietta,"SLC-4E, Vandenberg AFB, California, USA","Wed Jun 18, 1980 18:29 UTC",Titan IIID | KH-9),StatusRetired,,Success
293
+ 2859,2859,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Tue Jan 06, 1976 04:52 UTC",Cosmos-3M (11K65M) | Cosmos 787,StatusRetired,,Success
294
+ 3972,3972,General Dynamics,"SLC-4E, Vandenberg AFB, California, USA","Wed Apr 28, 1965 20:17 UTC",Atlas-SLV3 Agena-D | KH-7 Gambit 4017,StatusRetired,,Success
295
+ 1259,1259,Boeing,"SLC-2W, Vandenberg AFB, California, USA","Thu Apr 15, 1999 18:32 UTC",Delta II 7920-10 | Landsat 7,StatusRetired,,Success
296
+ 737,737,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Mon Feb 08, 2010 09:14 UTC",Space Shuttle Endeavour | STS-130,StatusRetired,450.0 ,Success
297
+ 1090,1090,Eurockot,"Site 133/3, Plesetsk Cosmodrome, Russia","Thu Jun 20, 2002 09:33 UTC",Rokot/Briz KM | Iridium SV97 and SV98,StatusRetired,41.8 ,Success
298
+ 2777,2777,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Fri Sep 24, 1976 15:00 UTC",Soyuz U | Cosmos 857,StatusRetired,,Success
299
+ 2417,2417,RVSN USSR,"Site 90/19, Baikonur Cosmodrome, Kazakhstan","Thu Mar 05, 1981 18:09 UTC",Tsyklon-2 | Cosmos 1249,StatusRetired,,Success
300
+ 1684,1684,CASC,"Site 138 (LA-2B), Jiuquan Satellite Launch Center, China","Sun Aug 09, 1992 08:00 UTC",Long March 2D | FSW-2 No.1,StatusActive,29.75 ,Success
301
+ 1952,1952,ASI,"SM Launch Tab, San Marco Launch Platform, Kenya","Fri Mar 25, 1988 19:50 UTC",Scout G1 | San Marco 5,StatusRetired,,Success
302
+ 712,712,ULA,"SLC-3E, Vandenberg AFB, California, USA","Tue Sep 21, 2010 04:03 UTC",Atlas V 501 | NROL-41,StatusActive,120.0 ,Success
303
+ 3898,3898,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Tue Mar 01, 1966 11:03 UTC",Molniya-M /Block L | Cosmos 111,StatusRetired,,Partial Failure
304
+ 4295,4295,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Thu Dec 04, 1958 18:18 UTC",Vostok | E-1 n†­3 (Luna-1),StatusRetired,,Failure
305
+ 3105,3105,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Wed Oct 03, 1973 13:00 UTC",Voskhod | Cosmos 596,StatusRetired,,Success
306
+ 1883,1883,RVSN USSR,"Site 133/3, Plesetsk Cosmodrome, Russia","Wed Jun 14, 1989 12:30 UTC",Cosmos-3M (11K65M) | Cosmos 2027,StatusRetired,,Success
307
+ 1521,1521,MHI,"LA-Y1, Tanegashima Space Center, Japan","Sat Mar 18, 1995 08:01 UTC",H-II | Himawari 5 & SFU 1,StatusRetired,,Success
308
+ 265,265,Arianespace,"ELS, Guiana Space Centre, French Guiana, France","Fri Mar 09, 2018 17:10 UTC",Soyuz ST-B/Fregat-MT | O3b FM13-FM16,StatusActive,,Success
309
+ 2829,2829,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Fri Apr 09, 1976 08:30 UTC",Voskhod | Cosmos 813,StatusRetired,,Success
310
+ 3634,3634,RVSN USSR,"Site 133/3, Plesetsk Cosmodrome, Russia","Fri Sep 20, 1968 14:39 UTC",Cosmos-2I (63SM) | Cosmos 242,StatusRetired,,Success
311
+ 2406,2406,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Thu May 07, 1981 13:21 UTC",Cosmos-3M (11K65M) | Cosmos 1269,StatusRetired,,Success
312
+ 1267,1267,ILS,"SLC-36A, Cape Canaveral AFS, Florida, USA","Tue Feb 16, 1999 01:45 UTC",Atlas IIAS | JCSAT-6,StatusRetired,,Success
313
+ 3797,3797,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Tue Feb 28, 1967 14:34 UTC",Vostok-2M | Cosmos 144,StatusRetired,,Success
314
+ 4281,4281,US Air Force,"SLC-1E (75-3-5), Vandenberg AFB, California, USA","Wed Aug 19, 1959 19:24 UTC",Thor-DM18 Agena-A | Discoverer 6,StatusRetired,,Success
315
+ 438,438,SpaceX,"SLC-40, Cape Canaveral AFS, Florida, USA","Fri May 27, 2016 21:39 UTC",Falcon 9 Block 3 | Thaicom 8,StatusRetired,62.0 ,Success
316
+ 864,864,ULA,"SLC-41, Cape Canaveral AFS, Florida, USA","Fri Jun 15, 2007 15:11 UTC",Atlas V 401 | NROL-30 & NOSS-3,StatusActive,109.0 ,Partial Failure
317
+ 2538,2538,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Tue Dec 26, 1978 13:30 UTC",Cosmos-3M (11K65M) | Cosmos 1067,StatusRetired,,Success
318
+ 3066,3066,ISAS,"Mu Pad, Uchinoura Space Center, Japan","Mon Feb 04, 1974 05:00 UTC",Mu-III H | Tansei 2,StatusRetired,,Success
319
+ 3474,3474,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Wed Apr 15, 1970 09:00 UTC",Voskhod | Cosmos 333,StatusRetired,,Success
320
+ 139,139,CASC,"LC-2, Xichang Satellite Launch Center, China","Fri May 17, 2019 15:48 UTC",Long March 3C/E | Beidou-2 G8,StatusActive,,Success
321
+ 2993,2993,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Fri Oct 25, 1974 09:30 UTC",Soyuz U | Cosmos 691,StatusRetired,,Success
322
+ 3678,3678,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Mon Apr 15, 1968 09:34 UTC",Soyuz | Cosmos 213,StatusRetired,,Success
323
+ 2279,2279,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Sat Apr 02, 1983 02:02 UTC",Molniya-M /Block ML | Molniya-1 n†­105,StatusRetired,,Success
324
+ 3772,3772,RVSN USSR,"Site 161/35, Baikonur Cosmodrome, Kazakhstan","Wed May 17, 1967 16:05 UTC",Tsyklon | Cosmos 160,StatusRetired,,Success
325
+ 1504,1504,Northrop,"Stargazer, Vandenberg AFB, California, USA","Thu Jun 22, 1995 19:58 UTC",Pegasus XL | STEP-3,StatusActive,40.0 ,Failure
326
+ 2745,2745,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Thu Jan 06, 1977 23:17 UTC",Vostok-2M | Meteor-2 n†­2,StatusRetired,,Success
327
+ 530,530,MHI,"LA-Y1, Tanegashima Space Center, Japan","Wed Dec 03, 2014 04:22 UTC",H-IIA 202 | Hayabusa 2 & Others,StatusActive,90.0 ,Success
328
+ 3954,3954,RVSN USSR,"Site 81/24, Baikonur Cosmodrome, Kazakhstan","Fri Jul 16, 1965 11:16 UTC",Proton | Proton-1,StatusRetired,,Success
329
+ 1843,1843,MHI,"LA-Y1, Tanegashima Space Center, Japan","Wed Feb 07, 1990 01:33 UTC","H-I (9 SO) | Orizuru, Fuji 1b & Momo-1b",StatusRetired,,Success
330
+ 3199,3199,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Wed Oct 04, 1972 12:00 UTC",Voskhod | Cosmos 522,StatusRetired,,Success
331
+ 1435,1435,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Tue Jul 09, 1996 22:24 UTC","Ariane 44L | Arabsat-2A, T??rksat 1C",StatusRetired,,Success
332
+ 3812,3812,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Wed Dec 21, 1966 10:17 UTC",Molniya-M /Block L | Luna 13,StatusRetired,,Success
333
+ 2425,2425,RVSN USSR,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Mon Feb 02, 1981 02:19 UTC",Tsyklon-2 | Cosmos 1243,StatusRetired,,Success
334
+ 3477,3477,Martin Marietta,"SLC-40, Cape Canaveral AFS, Florida, USA","Wed Apr 08, 1970 10:50 UTC",Titan IIIC | Vela 11 & 12,StatusRetired,,Success
335
+ 506,506,SpaceX,"SLC-40, Cape Canaveral AFS, Florida, USA","Wed Apr 15, 2015 20:10 UTC",Falcon 9 v1.1 | CRS-6,StatusRetired,56.5 ,Success
336
+ 3164,3164,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Thu Mar 01, 1973 12:40 UTC",Voskhod | Cosmos 550,StatusRetired,,Success
337
+ 2454,2454,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Tue Jul 01, 1980 07:12 UTC",Cosmos-3M (11K65M) | Cosmos 1190,StatusRetired,,Success
338
+ 2902,2902,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Fri Aug 22, 1975 02:11 UTC",Vostok-2M | Cosmos 756,StatusRetired,,Success
339
+ 343,343,ISRO,"First Launch Pad, Satish Dhawan Space Centre, India","Fri Jun 23, 2017 03:59 UTC",PSLV-XL | Cartosat-2E & Rideshares,StatusActive,31.0 ,Success
340
+ 1888,1888,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Mon Jun 05, 1989 22:37 UTC","Ariane 44L | Superbird-A, DFS-1",StatusRetired,,Success
341
+ 1954,1954,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Thu Mar 17, 1988 20:55 UTC",Molniya-M /Block ML | Molniya-1 n†­131,StatusRetired,,Success
342
+ 3107,3107,US Air Force,"SLC-4W, Vandenberg AFB, California, USA","Thu Sep 27, 1973 17:15 UTC",Titan III(24)B | OPS 6275,StatusRetired,,Success
343
+ 3597,3597,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Wed Jan 15, 1969 07:04 UTC",Soyuz | Soyuz 5,StatusRetired,,Success
344
+ 3816,3816,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Wed Dec 14, 1966 11:27 UTC",Soyuz | Soyuz 7K-OK n†­1,StatusRetired,,Prelaunch Failure
345
+ 2562,2562,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Tue Oct 10, 1978 19:44 UTC",Vostok-2M | Cosmos 1043,StatusRetired,,Success
346
+ 2804,2804,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Tue Jul 06, 1976 12:08 UTC",Soyuz | Soyuz 21,StatusRetired,,Success
347
+ 3613,3613,CECLES,"LA-5B, RAAF Woomera Range Complex, Australia","Fri Nov 29, 1968 09:47 UTC",Europa 1 | STV-1,StatusRetired,,Success
348
+ 1153,1153,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Wed Feb 07, 2001 23:05 UTC","Ariane 44L | Sicral-1, Skynet 4F",StatusRetired,,Success
349
+ 1496,1496,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Thu Aug 03, 1995 22:58 UTC",Ariane 42L | Panamsat-4,StatusRetired,,Success
350
+ 2960,2960,ISAS,"Mu Pad, Uchinoura Space Center, Japan","Mon Feb 24, 1975 05:25 UTC",Mu-III C | Taiyo,StatusRetired,,Success
351
+ 1682,1682,VKS RF,"Site 132/1, Plesetsk Cosmodrome, Russia","Wed Aug 12, 1992 05:44 UTC",Cosmos-3M (11K65M) | Cosmos 2208,StatusRetired,,Success
352
+ 175,175,SpaceX,"SLC-40, Cape Canaveral AFS, Florida, USA","Sun Dec 23, 2018 13:51 UTC",Falcon 9 Block 5 | GPS III SV01,StatusActive,50.0 ,Success
353
+ 3787,3787,UT,"Uchinoura Space Center, Japan","Mon Apr 03, 1967",Lambda-IV S | Osumi,StatusRetired,,Failure
354
+ 122,122,Roscosmos,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Sat Jul 20, 2019 16:28 UTC",Soyuz FG | Soyuz MS-13 (59S),StatusRetired,,Success
355
+ 3512,3512,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Wed Nov 12, 1969 11:30 UTC",Voskhod | Cosmos 309,StatusRetired,,Success
356
+ 4145,4145,General Dynamics,"SLC-3W, Vandenberg AFB, California, USA","Wed Jul 18, 1962 20:15 UTC",Atlas-LV3 Agena-B | Samos 9,StatusRetired,,Success
357
+ 3410,3410,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Wed Nov 11, 1970 09:20 UTC",Voskhod | Cosmos 377,StatusRetired,,Success
358
+ 2085,2085,RVSN USSR,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Sat Dec 28, 1985 09:16 UTC",Zenit-2 | Cosmos 1714,StatusRetired,,Partial Failure
359
+ 3941,3941,RVSN USSR,"Site 41/15, Baikonur Cosmodrome, Kazakhstan","Sat Sep 18, 1965 07:59 UTC",Cosmos-1 (65S3) | Cosmos 86 to 90,StatusRetired,,Success
360
+ 2636,2636,RVSN USSR,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Wed Dec 21, 1977 10:35 UTC",Tsyklon-2 | Cosmos 970,StatusRetired,,Success
361
+ 1763,1763,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Tue Mar 19, 1991 14:30 UTC",Cosmos-3M (11K65M) | Cosmos 2137,StatusRetired,,Success
362
+ 3688,3688,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Sat Mar 16, 1968 12:30 UTC",Voskhod | Cosmos 207,StatusRetired,,Success
363
+ 4192,4192,NASA,"LC-18B, Cape Canaveral AFS, Florida, USA","Wed Nov 01, 1961 15:32 UTC",Blue Scout II | Mercury-Scout 1 (MS-1),StatusRetired,,Failure
364
+ 1798,1798,RVSN USSR,"Site 43/4, Plesetsk Cosmodrome, Russia","Thu Sep 20, 1990 20:16 UTC",Molniya-M /Block ML | Molniya-3 n†­145,StatusRetired,,Success
365
+ 840,840,ULA,"SLC-2W, Vandenberg AFB, California, USA","Sun Dec 09, 2007 02:31 UTC",Delta II 7420-10C | COSMO-2,StatusRetired,,Success
366
+ 3397,3397,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Tue Dec 15, 1970 10:00 UTC",Voskhod | Cosmos 386,StatusRetired,,Success
367
+ 3594,3594,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Thu Jan 23, 1969 09:15 UTC",Voskhod | Cosmos 264,StatusRetired,,Success
368
+ 2772,2772,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Fri Oct 15, 1976 22:59 UTC",Vostok-2M | Meteor n†­36,StatusRetired,,Success
369
+ 1031,1031,Boeing,"SLC-37B, Cape Canaveral AFS, Florida, USA","Fri Aug 29, 2003 23:13 UTC",Delta IV Medium | DSCS-3 B6,StatusRetired,133.0 ,Success
370
+ 9,9,JAXA,"LA-Y1, Tanegashima Space Center, Japan","Sun Jul 19, 2020 21:58 UTC",H-IIA 202 | Hope Mars Mission,StatusActive,90.0 ,Success
371
+ 3450,3450,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Thu Jul 09, 1970 13:35 UTC",Voskhod | Cosmos 353,StatusRetired,,Success
372
+ 2140,2140,RVSN USSR,"Site 45/1, Baikonur Cosmodrome, Kazakhstan","Sat Apr 13, 1985 08:00 UTC",Zenit-2 | EPN 03.0694 n†­1,StatusRetired,,Failure
373
+ 3425,3425,RVSN USSR,"Site 133/3, Plesetsk Cosmodrome, Russia","Thu Oct 08, 1970 15:10 UTC",Cosmos-2I (63SM) | Cosmos 369,StatusRetired,,Success
374
+ 1412,1412,VKS RF,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Wed Dec 11, 1996 12:00 UTC",Tsyklon-2 | Cosmos 2335,StatusRetired,,Success
375
+ 1464,1464,ILS,"SLC-36B, Cape Canaveral AFS, Florida, USA","Thu Feb 01, 1996 01:15 UTC",Atlas IIAS | Palapa C1,StatusRetired,,Success
376
+ 1086,1086,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Fri Jul 05, 2002 23:02 UTC","Ariane 42P | SPOT-5, IDEFIX",StatusRetired,,Success
377
+ 2494,2494,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Sat Oct 20, 1979 07:03 UTC",Molniya-M /Block ML | Molniya-1 n†­82,StatusRetired,,Success
378
+ 919,919,Arianespace,"ELA-3, Guiana Space Centre, French Guiana, France","Sat May 27, 2006 21:09 UTC",Ariane 5 ECA | Satmex-6 & Thaicom-5,StatusActive,200.0 ,Success
379
+ 2650,2650,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Fri Oct 28, 1977 01:37 UTC",Molniya-M /Block ML | Molniya-3 n†­71,StatusRetired,,Success
380
+ 4149,4149,US Air Force,"SLC-1W (75-3-4), Vandenberg AFB, California, USA","Sat Jun 23, 1962 00:30 UTC",Thor DM-21 Agena-B | FTV 1129,StatusRetired,,Success
381
+ 1325,1325,Lockheed,"SLC-36A, Cape Canaveral AFS, Florida, USA","Mon Mar 16, 1998 21:32 UTC",Atlas II | UHF F8,StatusRetired,,Success
382
+ 2640,2640,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Tue Dec 13, 1977 15:53 UTC",Cosmos-3M (11K65M) | Cosmos 967,StatusRetired,,Success
383
+ 392,392,Roscosmos,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Thu Dec 01, 2016 14:52 UTC",Soyuz U | Progress MS-04,StatusRetired,,Failure
384
+ 702,702,Arianespace,"ELA-3, Guiana Space Centre, French Guiana, France","Wed Dec 29, 2010 21:27 UTC","Ariane 5 ECA | Koreasat 6, Hispasat-1E",StatusActive,200.0 ,Success
385
+ 2883,2883,US Air Force,"SLC-4W, Vandenberg AFB, California, USA","Thu Oct 09, 1975 19:15 UTC",Titan III(24)B | OPS 5499,StatusRetired,,Success
386
+ 3752,3752,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Fri Jul 21, 1967 06:00 UTC",Voskhod | Zenit-4 n†­32,StatusRetired,,Failure
387
+ 1534,1534,VKS RF,"Site 132/1, Plesetsk Cosmodrome, Russia","Tue Dec 20, 1994 05:10 UTC",Cosmos-3M (11K65M) | Cosmos 2298,StatusRetired,,Success
388
+ 3226,3226,RVSN USSR,"Site 1/5, Baikonur Cosmodrome, Kazakhstan","Sun Jul 02, 1972 07:20 UTC",Soyuz | Cosmos 496,StatusRetired,,Success
389
+ 1948,1948,Arianespace,"ELA-1, Guiana Space Centre, French Guiana, France","Tue May 17, 1988 23:58 UTC",Ariane 2 | Intelsat 3AF13,StatusRetired,,Success
390
+ 2649,2649,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Fri Oct 28, 1977 16:00 UTC",Cosmos-3M (11K65M) | Cosmos 962,StatusRetired,,Success
391
+ 4167,4167,RVSN USSR,"Mayak-2, Kapustin Yar, Russia","Tue Apr 24, 1962 04:00 UTC",Cosmos-2I (63S1) | Cosmos 3,StatusRetired,,Success
392
+ 3705,3705,RVSN USSR,"Site 90/19, Baikonur Cosmodrome, Kazakhstan","Wed Dec 27, 1967 11:28 UTC",Tsyklon-2A | Cosmos 198,StatusRetired,,Success
393
+ 1650,1650,Boeing,"SLC-17A, Cape Canaveral AFS, Florida, USA","Wed Feb 03, 1993 02:55 UTC",Delta II 7925 | USA-88 (GPS IIA-9),StatusRetired,,Success
394
+ 4273,4273,General Dynamics,"LC-14, Cape Canaveral AFS, Florida, USA","Thu Nov 26, 1959 07:26 UTC",Atlas-D Able | Pioneer P-3,StatusRetired,,Failure
395
+ 7,7,CASC,"LC-101, Wenchang Satellite Launch Center, China","Thu Jul 23, 2020 04:41 UTC",Long March 5 | Tianwen-1,StatusActive,,Success
396
+ 1782,1782,Boeing,"SLC-17A, Cape Canaveral AFS, Florida, USA","Mon Nov 26, 1990 21:39 UTC",Delta II 7925 | USA-66 (GPS IIA-1),StatusRetired,,Success
397
+ 1718,1718,RVSN USSR,"Site 175/58, Baikonur Cosmodrome, Kazakhstan","Fri Dec 20, 1991",Rokot/Briz K | GVM Demo Flight,StatusRetired,,Success
398
+ 2467,2467,RVSN USSR,"Site 41/1, Plesetsk Cosmodrome, Russia","Fri Apr 18, 1980 17:31 UTC",Molniya-M /Block ML | Cosmos 1175,StatusRetired,,Partial Failure
399
+ 3198,3198,RVSN USSR,"Site 133/3, Plesetsk Cosmodrome, Russia","Thu Oct 05, 1972 11:30 UTC",Cosmos-2I (63SM) | Cosmos 523,StatusRetired,,Success
400
+ 3408,3408,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Tue Nov 24, 1970 05:15 UTC",Soyuz L | Cosmos 379 (T2K Lunar Lander),StatusRetired,,Success
401
+ 4125,4125,US Air Force,"SLC-2E (75-1-1), Vandenberg AFB, California, USA","Sat Sep 29, 1962 06:05 UTC",Thor DM-21 Agena-B | Alouette 1 & TAVE,StatusRetired,,Success
402
+ 1261,1261,Lockheed,"SLC-41, Cape Canaveral AFS, Florida, USA","Fri Apr 09, 1999 17:01 UTC",Titan IV(402)B | DSP,StatusRetired,,Failure
403
+ 886,886,ISRO,"First Launch Pad, Satish Dhawan Space Centre, India","Wed Jan 10, 2007 03:54 UTC",PSLV-G | Cartosat-2 & SRE-1 & Rideshares,StatusRetired,25.0 ,Success
404
+ 3895,3895,General Dynamics,"SLC-4E, Vandenberg AFB, California, USA","Fri Mar 18, 1966 20:30 UTC",Atlas-SLV3 Agena-D | KH-7 Gambit 4026,StatusRetired,,Success
405
+ 2268,2268,RVSN USSR,"Site 90/19, Baikonur Cosmodrome, Kazakhstan","Sat May 07, 1983 10:30 UTC",Tsyklon-2 | Cosmos 1461,StatusRetired,,Success
406
+ 1995,1995,RVSN USSR,"Site 90/19, Baikonur Cosmodrome, Kazakhstan","Thu Jun 18, 1987 21:33 UTC",Tsyklon-2 | Cosmos 1860,StatusRetired,,Success
407
+ 1568,1568,NASA,"LC-39A, Kennedy Space Center, Florida, USA","Fri Jul 08, 1994 04:43 UTC",Space Shuttle Columbia | STS-65,StatusRetired,450.0 ,Success
408
+ 3456,3456,US Air Force,"SLC-4W, Vandenberg AFB, California, USA","Thu Jun 25, 1970 14:50 UTC",Titan III(23)B | OPS 6820,StatusRetired,,Success
409
+ 2009,2009,RVSN USSR,"Site 32/2, Plesetsk Cosmodrome, Russia","Tue Mar 03, 1987 15:02 UTC",Tsyklon-3 | Cosmos 1825,StatusRetired,,Success
410
+ 1498,1498,Lockheed,"SLC-36A, Cape Canaveral AFS, Florida, USA","Mon Jul 31, 1995 23:30 UTC",Atlas IIA | USA-113 (DSCS IIIB-7),StatusRetired,,Success
411
+ 1657,1657,VKS RF,"Site 32/2, Plesetsk Cosmodrome, Russia","Tue Dec 22, 1992 12:36 UTC",Tsyklon-3 | Cosmos 2226,StatusRetired,,Success
412
+ 1207,1207,ISAS,"Mu Pad, Uchinoura Space Center, Japan","Thu Feb 10, 2000 01:30 UTC",Mu-V / M-24 | Astro E,StatusRetired,,Failure
413
+ 3423,3423,RVSN USSR,"Site 132/1, Plesetsk Cosmodrome, Russia","Mon Oct 12, 1970 13:57 UTC",Cosmos-3M (11K65M) | Cosmos 371,StatusRetired,,Success
414
+ 285,285,ISRO,"First Launch Pad, Satish Dhawan Space Centre, India","Fri Jan 12, 2018 03:58 UTC",PSLV-XL | Cartosat-2F & Rideshares,StatusActive,31.0 ,Success
415
+ 1036,1036,Sea Launch,"LP Odyssey, Kiritimati Launch Area, Pacific Ocean","Fri Aug 08, 2003",Zenit-3 SL | EchoStar 9,StatusActive,,Success
416
+ 3841,3841,General Dynamics,"SLC-36A, Cape Canaveral AFS, Florida, USA","Tue Sep 20, 1966 12:32 UTC",Atlas-LV3C Centaur-D | Surveyor 2,StatusRetired,,Success
417
+ 1427,1427,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Thu Aug 29, 1996 05:22 UTC","Molniya-M /Block SO-L | Interbol 2, Magion5 & Victor",StatusRetired,,Success
418
+ 516,516,SpaceX,"SLC-40, Cape Canaveral AFS, Florida, USA","Wed Feb 11, 2015 23:03 UTC",Falcon 9 v1.1 | DSCOVR,StatusRetired,56.5 ,Success
419
+ 1133,1133,Lockheed,"SLC-40, Cape Canaveral AFS, Florida, USA","Mon Aug 06, 2001 07:28 UTC",Titan IV(402)B | DSP,StatusRetired,,Success
420
+ 1274,1274,Boeing,"SLC-17A, Cape Canaveral AFS, Florida, USA","Fri Dec 11, 1998 18:45 UTC",Delta II 7425 | Mars Climate Orbiter,StatusRetired,,Success
421
+ 2724,2724,RVSN USSR,"Site 43/3, Plesetsk Cosmodrome, Russia","Tue Apr 05, 1977 02:05 UTC",Vostok-2M | Meteor n†­37,StatusRetired,,Success
422
+ 1235,1235,Arianespace,"ELA-2, Guiana Space Centre, French Guiana, France","Sat Sep 04, 1999 22:34 UTC",Ariane 42P | Koreasat-3,StatusRetired,,Success
423
+ 2311,2311,RVSN USSR,"Site 90/20, Baikonur Cosmodrome, Kazakhstan","Sat Sep 04, 1982 17:50 UTC",Tsyklon-2 | Cosmos 1405,StatusRetired,,Success
424
+ 4118,4118,RVSN USSR,"Mayak-2, Kapustin Yar, Russia","Sat Oct 20, 1962 04:00 UTC",Cosmos-2I (63S1) | Cosmos 11,StatusRetired,,Success
425
+ 1649,1649,VKS RF,"Site 133/3, Plesetsk Cosmodrome, Russia","Tue Feb 09, 1993 02:56 UTC",Cosmos-3M (11K65M) | Cosmos 2233,StatusRetired,,Success
426
+ 3042,3042,RVSN USSR,"Site 31/6, Baikonur Cosmodrome, Kazakhstan","Wed May 15, 1974 08:30 UTC",Soyuz U | Cosmos 652,StatusRetired,,Success
427
+ 3979,3979,General Dynamics,"LC-12, Cape Canaveral AFS, Florida, USA","Sun Mar 21, 1965 21:37 UTC",Atlas-LV3 Agena-B | Ranger 9,StatusRetired,,Success
428
+ 1591,1591,Martin Marietta,"SLC-4W, Vandenberg AFB, California, USA","Tue Jan 25, 1994 16:34 UTC",Titan II(23)G | Clementine,StatusRetired,35.0 ,Success
429
+ 552,552,VKS RF,"Site 133/3, Plesetsk Cosmodrome, Russia","Thu Jul 03, 2014 12:43 UTC",Rokot/Briz KM | Goniets-M 18 to 20,StatusRetired,41.8 ,Success
430
+ 3948,3948,General Dynamics,"SLC-4E, Vandenberg AFB, California, USA","Tue Aug 03, 1965 19:12 UTC",Atlas-SLV3 Agena-D | KH-7 Gambit 4021,StatusRetired,,Success
431
+ 471,471,SpaceX,"SLC-40, Cape Canaveral AFS, Florida, USA","Tue Dec 22, 2015 01:29 UTC",Falcon 9 Block 3 | OG2 Mission 2,StatusRetired,62.0 ,Success
432
+ 4250,4250,General Dynamics,"LC-12, Cape Canaveral AFS, Florida, USA","Sun Sep 25, 1960 15:13 UTC",Atlas-D Able | Pioneer P-30,StatusRetired,,Failure
433
+ 3437,3437,General Dynamics,"LC-13, Cape Canaveral AFS, Florida, USA","Tue Sep 01, 1970 01:00 UTC",Atlas-SLV3A Agena-D | AFP-827 (Canyon-3),StatusRetired,,Success
434
+ 2003,2003,RVSN USSR,"Site 32/2, Plesetsk Cosmodrome, Russia","Sun Apr 26, 1987 23:59 UTC",Tsyklon-3 | Cosmos 1842,StatusRetired,,Success
435
+ 3340,3340,RVSN USSR,"Site 132/2, Plesetsk Cosmodrome, Russia","Fri Jun 04, 1971",Cosmos-3M (11K65M) | Cosmos 426,StatusRetired,,Success
classification/unipredict/agirlcoding-all-space-missions-from-1957/test.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/agirlcoding-all-space-missions-from-1957/train.csv ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/agirlcoding-all-space-missions-from-1957/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/ahsan81-food-ordering-and-delivery-app-dataset/test.csv ADDED
@@ -0,0 +1,192 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ order_id,customer_id,restaurant_name,cuisine_type,cost_of_the_order,day_of_the_week,food_preparation_time,delivery_time,rating
2
+ 1478366,270149,Samurai Mama,Japanese,11.64,Weekend,21,18,5
3
+ 1477990,59673,Rubirosa,Italian,12.95,Weekend,30,25,4
4
+ 1477927,351329,Parm,Italian,12.23,Weekday,27,26,Not given
5
+ 1478351,78939,Blue Ribbon Sushi,Japanese,12.08,Weekend,31,16,5
6
+ 1478335,84502,Nobu Next Door,Japanese,25.17,Weekend,31,29,4
7
+ 1476547,83095,Bareburger,American,6.84,Weekend,22,24,5
8
+ 1478087,96921,Bareburger,American,8.39,Weekend,27,30,3
9
+ 1476567,122609,Blue Ribbon Sushi,Japanese,13.0,Weekend,34,15,5
10
+ 1476971,250494,Parm,Italian,28.57,Weekday,22,32,5
11
+ 1477029,295111,The Meatball Shop,Italian,13.0,Weekday,23,26,5
12
+ 1477319,145389,Westville Hudson,American,20.23,Weekday,31,29,Not given
13
+ 1476924,153048,Shake Shack,American,21.83,Weekend,28,23,Not given
14
+ 1477166,402215,RedFarm Hudson,Chinese,21.29,Weekend,32,25,4
15
+ 1477337,123780,Five Guys Burgers and Fries,American,33.03,Weekend,29,25,Not given
16
+ 1476778,276192,Sushi of Gari Tribeca,Japanese,31.33,Weekday,34,26,Not given
17
+ 1477883,91817,Blue Ribbon Fried Chicken,American,29.39,Weekend,27,28,Not given
18
+ 1478083,91817,Lucky's Famous Burgers,American,5.77,Weekend,21,20,4
19
+ 1477663,93133,Nobu Next Door,Japanese,29.29,Weekday,30,24,4
20
+ 1476853,139626,L'Express,French,16.98,Weekday,35,29,Not given
21
+ 1477622,84087,The Meatball Shop,Italian,12.71,Weekday,29,33,5
22
+ 1478028,44594,Shake Shack,American,24.25,Weekend,31,28,5
23
+ 1477217,139639,Sushi of Gari 46,Japanese,29.15,Weekday,32,32,Not given
24
+ 1477291,198194,The Kati Roll Company,Indian,19.4,Weekday,24,30,5
25
+ 1476981,138586,Shake Shack,American,5.82,Weekend,22,28,Not given
26
+ 1477899,165485,Parm,Italian,8.68,Weekend,20,19,Not given
27
+ 1477811,373152,Blue Ribbon Sushi,Japanese,24.3,Weekend,32,28,5
28
+ 1478424,304052,Parm,Italian,11.59,Weekday,35,29,5
29
+ 1476574,376993,Emporio,Italian,31.43,Weekend,25,29,Not given
30
+ 1478280,91722,Shake Shack,American,19.4,Weekend,32,15,5
31
+ 1478422,197832,The Meatball Shop,Italian,14.84,Weekend,20,28,Not given
32
+ 1476583,62929,Bareburger,American,17.03,Weekend,35,21,5
33
+ 1477788,270444,P.J. Clarke's,American,4.71,Weekend,23,15,Not given
34
+ 1477710,376578,Shake Shack,American,5.92,Weekday,34,24,5
35
+ 1476737,94766,Nobu Next Door,Japanese,12.23,Weekday,31,29,5
36
+ 1477167,76907,Han Dynasty,Chinese,14.8,Weekday,23,25,4
37
+ 1477212,49631,The Meatball Shop,Italian,14.41,Weekend,28,28,Not given
38
+ 1478302,318665,Blue Ribbon Sushi Bar & Grill,Japanese,4.9,Weekday,29,32,4
39
+ 1477523,53503,RedFarm Broadway,Chinese,12.23,Weekend,21,21,4
40
+ 1477327,328731,Nobu Next Door,Japanese,13.97,Weekday,27,24,Not given
41
+ 1478295,117810,Momoya,Japanese,19.35,Weekday,29,24,Not given
42
+ 1476979,81166,Dos Caminos,Mexican,6.11,Weekend,26,21,5
43
+ 1477698,60835,Parm,Italian,29.35,Weekend,29,17,5
44
+ 1478253,67345,Parm,Italian,25.27,Weekend,28,16,5
45
+ 1477718,42755,Blue Ribbon Sushi,Japanese,16.11,Weekend,22,26,5
46
+ 1477221,125510,Blue Ribbon Sushi Izakaya,Japanese,33.03,Weekend,34,23,3
47
+ 1478338,150865,Vanessa's Dumpling House,Chinese,5.72,Weekend,20,21,Not given
48
+ 1476610,53212,TAO,Japanese,12.27,Weekday,26,29,Not given
49
+ 1477641,128224,Blue Ribbon Sushi,Japanese,24.2,Weekend,29,18,4
50
+ 1477550,97324,Shake Shack,American,29.05,Weekday,27,29,4
51
+ 1477335,84457,Nobu Next Door,Japanese,29.15,Weekend,27,15,Not given
52
+ 1476551,49034,The Smile,American,12.18,Weekend,22,27,Not given
53
+ 1477045,143511,Chipotle Mexican Grill $1.99 Delivery,Mexican,16.44,Weekday,33,30,Not given
54
+ 1476910,397362,TAO,Japanese,8.1,Weekend,32,16,5
55
+ 1478121,62980,Westville Hudson,American,8.34,Weekday,22,26,Not given
56
+ 1477010,49631,The Meatball Shop,Italian,19.4,Weekend,28,17,Not given
57
+ 1477180,154339,Chipotle Mexican Grill $1.99 Delivery,Mexican,29.15,Weekday,21,24,Not given
58
+ 1476901,391860,Lucky's Famous Burgers,American,11.59,Weekend,26,23,5
59
+ 1477936,133202,Blue Ribbon Sushi,Japanese,9.17,Weekend,27,29,Not given
60
+ 1477025,331608,Shake Shack,American,19.4,Weekend,30,18,Not given
61
+ 1477955,198936,Five Leaves,American,10.24,Weekday,22,25,Not given
62
+ 1478188,99288,The Meatball Shop,American,12.56,Weekend,28,22,Not given
63
+ 1477518,133202,Sushi Samba,Japanese,29.05,Weekend,31,16,5
64
+ 1478354,52037,Blue Ribbon Fried Chicken,American,19.89,Weekday,27,24,Not given
65
+ 1477120,285774,Blue Ribbon Sushi,Japanese,6.79,Weekday,21,29,5
66
+ 1477035,141496,Dickson's Farmstand Meats,American,33.03,Weekend,35,20,5
67
+ 1477127,314480,Shake Shack,American,15.76,Weekday,30,24,5
68
+ 1477604,128711,RedFarm Hudson,Chinese,12.56,Weekend,20,22,3
69
+ 1477115,87752,Shake Shack,American,24.25,Weekday,20,27,5
70
+ 1477986,115213,Junoon,Indian,22.75,Weekend,29,28,5
71
+ 1478100,62667,Balthazar Boulangerie,French,21.93,Weekend,31,20,Not given
72
+ 1476756,263426,Shake Shack,American,14.07,Weekend,21,27,3
73
+ 1476622,399332,Philippe Chow,Chinese,24.2,Weekday,28,30,5
74
+ 1476999,63417,Pepe Rosso To Go,Italian,24.2,Weekend,27,19,3
75
+ 1477705,60397,Jack's Wife Freda,Mediterranean,12.18,Weekend,33,23,3
76
+ 1477830,61212,Tamarind TriBeCa,Indian,15.77,Weekend,25,29,5
77
+ 1476655,91817,Blue Ribbon Fried Chicken,American,29.15,Weekend,31,17,4
78
+ 1477401,326426,Sushi of Gari,Japanese,29.15,Weekend,34,24,Not given
79
+ 1477245,375585,TAO,Japanese,24.25,Weekend,31,27,Not given
80
+ 1477833,27609,Shake Shack,American,15.57,Weekday,28,30,Not given
81
+ 1478255,382076,Shake Shack,American,6.69,Weekday,20,29,Not given
82
+ 1476939,111894,The Meatball Shop,Italian,25.27,Weekend,25,29,Not given
83
+ 1477101,81828,The Meatball Shop,American,14.55,Weekend,21,30,5
84
+ 1478032,146586,Dirty Bird to Go,American,19.4,Weekend,25,19,4
85
+ 1477043,142356,Blue Ribbon Sushi,Japanese,6.74,Weekend,22,28,4
86
+ 1478405,58675,Shake Shack,American,11.59,Weekday,23,25,3
87
+ 1477443,105903,Shake Shack,American,24.3,Weekday,35,29,4
88
+ 1477030,240982,Rubirosa,Italian,24.3,Weekday,29,31,3
89
+ 1476807,79215,Blue Ribbon Sushi,Japanese,16.49,Weekend,24,30,3
90
+ 1477361,115419,Shake Shack,American,12.13,Weekday,34,26,Not given
91
+ 1477255,50199,Five Guys Burgers and Fries,American,12.13,Weekend,26,15,Not given
92
+ 1477225,140530,Sushi of Gari 46,Japanese,25.22,Weekend,32,28,Not given
93
+ 1478308,358158,Galli Restaurant,Italian,16.06,Weekend,22,16,5
94
+ 1477244,47386,Bubby's ,American,12.18,Weekday,28,31,4
95
+ 1476572,356195,Blue Ribbon Fried Chicken,American,29.15,Weekday,20,29,5
96
+ 1477116,126730,The Kati Roll Company,Indian,24.2,Weekend,26,16,5
97
+ 1478092,41318,Jack's Wife Freda,Mediterranean,15.47,Weekend,33,16,5
98
+ 1477359,373285,RedFarm Hudson,Chinese,12.08,Weekend,21,24,Not given
99
+ 1477162,42755,Blue Ribbon Fried Chicken,American,15.72,Weekend,25,19,4
100
+ 1476710,65009,Blue Ribbon Sushi Izakaya,Japanese,8.93,Weekend,28,18,5
101
+ 1476721,131645,The Meatball Shop,Italian,12.08,Weekend,23,23,Not given
102
+ 1477147,337525,Hangawi,Korean,30.75,Weekend,25,20,Not given
103
+ 1478046,53289,The Loop,Japanese,31.38,Weekend,26,24,4
104
+ 1477048,200074,Osteria Morini,Italian,9.07,Weekend,33,16,Not given
105
+ 1477756,251607,Shake Shack,American,14.12,Weekday,31,28,Not given
106
+ 1477140,366954,Blue Ribbon Sushi,Japanese,24.25,Weekend,35,16,5
107
+ 1477959,175290,Otto Enoteca Pizzeria,Italian,29.05,Weekend,24,18,5
108
+ 1476559,47440,Bareburger,American,15.57,Weekday,24,28,4
109
+ 1477753,65306,Sushi of Gari Tribeca,Japanese,14.79,Weekend,32,24,Not given
110
+ 1477524,236739,Xi'an Famous Foods,Chinese,19.45,Weekend,28,18,5
111
+ 1477496,132137,Parm,Italian,22.36,Weekend,27,27,Not given
112
+ 1477857,363202,S'MAC,American,25.27,Weekend,20,29,5
113
+ 1476864,381020,RedFarm Broadway,Chinese,31.86,Weekend,25,19,4
114
+ 1477841,18902,Rubirosa,Italian,21.88,Weekend,28,27,4
115
+ 1478036,186976,Burger Joint,American,8.35,Weekend,28,17,4
116
+ 1476664,164016,Blue Ribbon Fried Chicken,American,24.3,Weekday,20,27,5
117
+ 1476993,301825,RedFarm Broadway,Chinese,12.23,Weekend,32,19,Not given
118
+ 1476584,363561,Shake Shack,American,12.37,Weekend,28,28,3
119
+ 1477751,385134,RedFarm Broadway,Chinese,16.2,Weekend,29,18,5
120
+ 1477439,113926,Five Guys Burgers and Fries,American,12.08,Weekday,28,27,Not given
121
+ 1477707,133330,Blue Ribbon Fried Chicken,American,25.27,Weekend,29,28,5
122
+ 1477163,376578,Shake Shack,American,15.76,Weekend,32,24,5
123
+ 1477354,67487,Blue Ribbon Sushi,Japanese,16.2,Weekend,35,26,4
124
+ 1478010,49987,Parm,Italian,6.69,Weekend,24,28,5
125
+ 1476730,344577,Chipotle Mexican Grill $1.99 Delivery,Mexican,29.05,Weekend,22,21,4
126
+ 1477287,111125,Otto Enoteca Pizzeria,Italian,14.99,Weekend,29,21,Not given
127
+ 1477122,97806,Shake Shack,American,8.63,Weekend,33,19,Not given
128
+ 1477588,286386,5 Napkin Burger,American,29.05,Weekend,26,21,3
129
+ 1478420,104355,Momoya,Japanese,15.81,Weekend,25,15,5
130
+ 1477250,41409,Nobu Next Door,Japanese,19.35,Weekend,28,30,4
131
+ 1476603,48677,Shake Shack,American,12.95,Weekend,32,19,Not given
132
+ 1478152,304708,Parm,Italian,5.92,Weekend,21,25,3
133
+ 1477642,370405,Haveli Indian Restaurant,Indian,5.72,Weekend,24,26,3
134
+ 1478305,62359,Rubirosa,Italian,8.0,Weekday,27,29,4
135
+ 1478376,67133,RedFarm Broadway,Chinese,9.65,Weekend,30,20,5
136
+ 1478356,62540,Blue Ribbon Sushi,Japanese,16.44,Weekend,22,18,Not given
137
+ 1478425,373152,Parm,Italian,14.02,Weekday,28,32,Not given
138
+ 1478357,142356,Blue Ribbon Sushi,Japanese,14.07,Weekday,35,29,Not given
139
+ 1476793,77339,Rubirosa,Italian,9.17,Weekend,27,25,4
140
+ 1478227,367591,Taro Sushi,Japanese,16.05,Weekday,35,32,5
141
+ 1476852,369809,Five Guys Burgers and Fries,American,19.45,Weekday,28,28,3
142
+ 1477235,115841,Rubirosa,Italian,15.38,Weekday,30,31,Not given
143
+ 1477232,275689,Nobu Next Door,Japanese,9.17,Weekend,24,15,Not given
144
+ 1477503,99621,Westville Hudson,American,24.3,Weekend,32,15,Not given
145
+ 1478333,93437,Sushi of Gari 46,Japanese,22.26,Weekend,27,26,5
146
+ 1477423,80466,J. G. Melon,American,14.6,Weekend,32,24,5
147
+ 1476787,78887,TAO,Japanese,6.69,Weekday,26,25,4
148
+ 1478218,209418,Izakaya Ten,Japanese,6.02,Weekend,24,19,Not given
149
+ 1477535,125123,S'MAC,American,15.57,Weekend,34,28,5
150
+ 1478086,81333,Shake Shack,American,9.07,Weekend,24,16,Not given
151
+ 1477499,306119,Xi'an Famous Foods,Chinese,14.12,Weekend,32,19,4
152
+ 1477691,366327,Parm,Italian,16.44,Weekend,29,26,5
153
+ 1477607,386995,Han Dynasty,Chinese,9.75,Weekend,29,25,Not given
154
+ 1476743,183520,Blue Ribbon Sushi,Japanese,6.69,Weekend,35,26,Not given
155
+ 1476598,41168,Parm,Italian,12.13,Weekend,34,22,3
156
+ 1478211,154030,RedFarm Hudson,Chinese,33.03,Weekend,26,22,4
157
+ 1477039,338923,Hill Country Fried Chicken,Southern,22.31,Weekday,21,25,3
158
+ 1477803,165110,Room Service,Thai,12.23,Weekend,35,16,Not given
159
+ 1477186,291891,The Kati Roll Company,Indian,11.64,Weekend,34,18,4
160
+ 1476843,361846,Sarabeth's West,American,14.12,Weekday,21,33,3
161
+ 1478090,62359,Blue Ribbon Sushi Izakaya,Japanese,16.01,Weekday,23,27,5
162
+ 1478015,364714,Nobu Next Door,Japanese,8.97,Weekday,22,31,Not given
163
+ 1476651,58092,Shake Shack,American,8.0,Weekend,27,23,5
164
+ 1478055,7567,indikitch,Indian,5.58,Weekend,35,30,Not given
165
+ 1477818,144352,Shake Shack,American,22.36,Weekend,27,27,4
166
+ 1477138,47280,RedFarm Hudson,Chinese,14.12,Weekend,25,24,4
167
+ 1478291,385134,RedFarm Broadway,Chinese,31.87,Weekend,27,18,5
168
+ 1478136,61388,Five Guys Burgers and Fries,American,14.12,Weekend,27,27,4
169
+ 1476975,350373,Blue Ribbon Fried Chicken,American,12.23,Weekend,21,26,4
170
+ 1477817,335897,Sushi of Gari 46,Japanese,12.18,Weekday,24,27,4
171
+ 1478325,399373,Shake Shack,American,29.1,Weekday,29,24,4
172
+ 1476549,75169,Tamarind TriBeCa,Indian,6.74,Weekend,25,26,5
173
+ 1476881,57263,Nobu Next Door,Japanese,15.76,Weekday,27,28,Not given
174
+ 1477105,67844,The Smile,American,9.17,Weekday,26,28,5
175
+ 1476682,86731,Mission Cantina,Mexican,12.08,Weekend,30,18,Not given
176
+ 1477463,66505,Mamoun's Falafel,Mediterranean,12.18,Weekday,25,30,5
177
+ 1478194,67937,Shake Shack,American,15.52,Weekend,22,17,5
178
+ 1476561,115213,Tamarind TriBeCa,Indian,13.24,Weekend,23,30,Not given
179
+ 1477772,91958,TAO,Japanese,12.18,Weekday,26,33,Not given
180
+ 1477308,321255,Shake Shack,American,5.63,Weekend,27,16,Not given
181
+ 1477679,120833,Bareburger,American,16.25,Weekend,29,15,Not given
182
+ 1477865,120490,Parm,Italian,8.2,Weekday,34,24,Not given
183
+ 1477760,130507,Jack's Wife Freda,Mediterranean,22.75,Weekend,35,29,3
184
+ 1477935,378482,Lamarca Pasta,Italian,9.22,Weekend,23,19,Not given
185
+ 1478324,250494,Blue Ribbon Fried Chicken,American,29.1,Weekend,21,22,4
186
+ 1478382,144997,Nobu Next Door,Japanese,15.91,Weekend,26,15,4
187
+ 1476947,46859,The Meatball Shop,Italian,8.54,Weekday,24,29,5
188
+ 1477709,110461,Blue Ribbon Sushi,Japanese,5.97,Weekend,31,30,3
189
+ 1477966,318451,Blue Ribbon Sushi,Japanese,24.3,Weekend,29,15,Not given
190
+ 1476663,40010,Parm,Italian,19.35,Weekend,35,19,4
191
+ 1477854,58025,Tamarind TriBeCa,Indian,11.64,Weekend,33,23,Not given
192
+ 1477272,143984,The Smile,American,12.27,Weekday,32,24,Not given
classification/unipredict/bhanupratapbiswas-fashion-products/train.csv ADDED
@@ -0,0 +1,899 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ User ID,Product ID,Product Name,Brand,Price,Rating,Color,Size,Category
2
+ 13,921,Jeans,Gucci,24,2.92,Green,S,Men's Fashion
3
+ 77,785,T-shirt,H&M,57,1.27,Red,S,Men's Fashion
4
+ 64,858,T-shirt,Zara,96,4.45,Yellow,M,Kids' Fashion
5
+ 29,133,Shoes,H&M,28,1.66,Blue,XL,Kids' Fashion
6
+ 72,730,Jeans,Zara,68,1.61,Green,M,Kids' Fashion
7
+ 6,704,T-shirt,Adidas,38,4.98,Green,M,Kids' Fashion
8
+ 50,261,Dress,Zara,49,2.98,Yellow,S,Men's Fashion
9
+ 4,298,Shoes,Zara,14,1.42,Red,M,Women's Fashion
10
+ 62,961,Jeans,Nike,40,1.73,White,L,Women's Fashion
11
+ 38,586,Sweater,Nike,99,2.28,Yellow,M,Kids' Fashion
12
+ 4,294,Dress,H&M,89,4.09,White,XL,Women's Fashion
13
+ 20,808,T-shirt,Adidas,26,4.32,Yellow,L,Women's Fashion
14
+ 44,419,T-shirt,H&M,72,3.3,Yellow,L,Kids' Fashion
15
+ 78,946,Sweater,H&M,15,1.67,Red,S,Women's Fashion
16
+ 73,380,Dress,Gucci,23,1.2,Red,XL,Women's Fashion
17
+ 72,854,T-shirt,Adidas,83,3.71,Green,M,Kids' Fashion
18
+ 33,93,Shoes,Nike,70,4.93,White,S,Men's Fashion
19
+ 74,630,T-shirt,Nike,84,1.66,White,XL,Women's Fashion
20
+ 43,68,T-shirt,Gucci,76,4.3,Red,S,Women's Fashion
21
+ 100,132,Sweater,Adidas,10,3.0,White,M,Women's Fashion
22
+ 27,240,Dress,H&M,10,2.23,Black,L,Men's Fashion
23
+ 20,996,Shoes,Zara,55,1.62,Black,M,Women's Fashion
24
+ 11,303,Jeans,Gucci,94,3.69,White,XL,Women's Fashion
25
+ 57,985,T-shirt,H&M,36,2.51,Green,S,Women's Fashion
26
+ 50,14,Dress,Zara,34,2.92,White,L,Women's Fashion
27
+ 58,275,Jeans,Nike,93,3.81,Green,XL,Men's Fashion
28
+ 34,260,Dress,Adidas,59,4.15,Green,S,Kids' Fashion
29
+ 34,145,T-shirt,Zara,60,4.82,Green,S,Kids' Fashion
30
+ 100,870,Jeans,Nike,26,2.71,Yellow,S,Kids' Fashion
31
+ 60,658,Jeans,Adidas,40,3.25,Green,L,Women's Fashion
32
+ 33,801,Jeans,Zara,39,3.51,Black,XL,Men's Fashion
33
+ 8,917,Jeans,Zara,23,2.84,Red,M,Men's Fashion
34
+ 63,892,T-shirt,Adidas,62,3.94,Blue,M,Women's Fashion
35
+ 16,7,Jeans,Gucci,37,1.36,White,XL,Men's Fashion
36
+ 1,947,T-shirt,Zara,48,3.16,White,S,Kids' Fashion
37
+ 6,546,Shoes,Zara,93,1.36,Red,L,Women's Fashion
38
+ 71,763,T-shirt,Nike,25,2.09,Green,S,Men's Fashion
39
+ 43,272,Dress,Nike,95,2.31,White,M,Kids' Fashion
40
+ 19,1,Dress,Adidas,40,1.04,Black,XL,Men's Fashion
41
+ 52,348,Shoes,Zara,76,2.92,Blue,XL,Kids' Fashion
42
+ 76,470,T-shirt,Adidas,34,4.64,Blue,S,Kids' Fashion
43
+ 97,113,T-shirt,Zara,60,1.19,White,L,Men's Fashion
44
+ 34,635,Jeans,Adidas,29,2.24,Yellow,XL,Women's Fashion
45
+ 10,119,Jeans,Nike,73,2.66,Yellow,S,Men's Fashion
46
+ 24,535,Jeans,Nike,87,1.2,Red,L,Women's Fashion
47
+ 55,189,Jeans,Adidas,15,3.47,Blue,L,Women's Fashion
48
+ 32,268,Jeans,Adidas,22,3.94,Yellow,L,Kids' Fashion
49
+ 38,691,T-shirt,Adidas,13,3.27,Blue,XL,Kids' Fashion
50
+ 15,71,Sweater,Adidas,35,4.86,White,M,Women's Fashion
51
+ 89,866,Shoes,H&M,66,4.55,White,S,Men's Fashion
52
+ 77,979,T-shirt,Nike,96,1.89,Blue,S,Men's Fashion
53
+ 63,106,Jeans,H&M,21,2.73,Red,L,Kids' Fashion
54
+ 70,129,T-shirt,Zara,85,2.1,Yellow,M,Women's Fashion
55
+ 24,851,Jeans,Nike,46,2.69,Yellow,XL,Men's Fashion
56
+ 99,57,Sweater,Adidas,52,3.61,Red,M,Women's Fashion
57
+ 98,473,Dress,Nike,51,1.69,Red,S,Women's Fashion
58
+ 25,766,Jeans,Zara,40,4.46,Green,M,Men's Fashion
59
+ 77,109,Jeans,Nike,73,2.73,Black,XL,Kids' Fashion
60
+ 17,753,Jeans,Zara,86,4.21,Yellow,S,Kids' Fashion
61
+ 75,448,Shoes,Gucci,53,2.14,Green,M,Kids' Fashion
62
+ 9,510,Shoes,Nike,60,3.11,Green,L,Men's Fashion
63
+ 2,674,Shoes,Adidas,72,1.95,Green,L,Kids' Fashion
64
+ 39,759,Shoes,Gucci,65,1.83,Black,S,Kids' Fashion
65
+ 50,170,Sweater,Gucci,20,3.47,Yellow,M,Men's Fashion
66
+ 48,175,Dress,Adidas,55,1.91,Blue,S,Men's Fashion
67
+ 89,438,T-shirt,Adidas,86,4.69,Yellow,XL,Kids' Fashion
68
+ 79,233,Shoes,Nike,39,4.71,Red,M,Kids' Fashion
69
+ 87,353,Sweater,Nike,78,2.91,Blue,M,Women's Fashion
70
+ 3,69,Sweater,Gucci,74,3.67,Yellow,M,Women's Fashion
71
+ 97,594,Sweater,Nike,86,3.84,Yellow,S,Kids' Fashion
72
+ 55,311,Jeans,Nike,55,4.8,Black,L,Men's Fashion
73
+ 94,983,Dress,Zara,50,4.46,Red,XL,Men's Fashion
74
+ 97,313,Shoes,H&M,76,4.51,Green,XL,Women's Fashion
75
+ 88,792,Sweater,Adidas,88,4.65,Yellow,XL,Kids' Fashion
76
+ 74,774,Dress,H&M,94,2.98,White,L,Men's Fashion
77
+ 66,391,Dress,Gucci,25,3.83,Blue,M,Women's Fashion
78
+ 27,703,Shoes,Gucci,21,3.43,Blue,S,Men's Fashion
79
+ 54,544,T-shirt,Nike,77,3.56,Red,L,Women's Fashion
80
+ 98,29,Shoes,Gucci,85,4.94,Yellow,M,Women's Fashion
81
+ 2,795,Jeans,Gucci,30,1.48,Black,S,Kids' Fashion
82
+ 37,443,Sweater,Gucci,11,3.02,White,L,Men's Fashion
83
+ 85,88,Dress,Nike,61,2.56,White,L,Kids' Fashion
84
+ 99,158,Shoes,Adidas,88,2.92,Blue,M,Men's Fashion
85
+ 81,955,Jeans,Nike,64,1.8,White,XL,Kids' Fashion
86
+ 71,102,Sweater,Gucci,19,4.21,Red,S,Kids' Fashion
87
+ 37,943,Jeans,Gucci,71,4.06,Blue,L,Kids' Fashion
88
+ 88,289,Sweater,Adidas,18,2.81,Blue,M,Kids' Fashion
89
+ 37,857,Dress,H&M,93,4.35,Blue,M,Men's Fashion
90
+ 26,839,Dress,Nike,68,2.66,Blue,S,Kids' Fashion
91
+ 61,951,Sweater,Nike,62,2.95,Black,L,Kids' Fashion
92
+ 44,693,Shoes,Nike,62,2.55,Green,L,Men's Fashion
93
+ 75,200,Sweater,H&M,45,4.12,Black,S,Men's Fashion
94
+ 4,273,Dress,Nike,29,1.76,White,XL,Men's Fashion
95
+ 71,769,Sweater,Zara,28,4.48,White,S,Men's Fashion
96
+ 6,547,Sweater,H&M,89,2.54,Yellow,XL,Kids' Fashion
97
+ 25,99,Shoes,Nike,93,4.28,Yellow,L,Kids' Fashion
98
+ 98,73,T-shirt,Gucci,34,2.92,Red,M,Men's Fashion
99
+ 1,964,Dress,Nike,31,4.54,White,S,Women's Fashion
100
+ 1,986,Shoes,Gucci,11,4.61,Blue,M,Men's Fashion
101
+ 27,341,Jeans,Gucci,91,4.47,Red,XL,Men's Fashion
102
+ 32,825,T-shirt,Zara,12,1.85,White,M,Men's Fashion
103
+ 55,241,Jeans,Gucci,21,2.4,Green,S,Men's Fashion
104
+ 44,434,T-shirt,Zara,22,1.71,Yellow,M,Kids' Fashion
105
+ 9,437,Shoes,Gucci,96,3.13,Green,XL,Men's Fashion
106
+ 93,836,Jeans,Gucci,21,4.25,White,L,Women's Fashion
107
+ 62,169,Shoes,Zara,98,1.09,Black,XL,Men's Fashion
108
+ 27,37,Sweater,Zara,48,4.95,Blue,S,Kids' Fashion
109
+ 46,645,T-shirt,Zara,98,4.7,Black,S,Kids' Fashion
110
+ 13,172,Jeans,Zara,32,4.8,Yellow,M,Women's Fashion
111
+ 30,738,Jeans,H&M,100,1.03,Blue,L,Men's Fashion
112
+ 34,136,Shoes,Zara,45,1.02,Blue,XL,Men's Fashion
113
+ 81,187,Jeans,Zara,36,3.04,Green,S,Women's Fashion
114
+ 11,914,T-shirt,H&M,46,4.06,Red,L,Kids' Fashion
115
+ 24,816,Jeans,Nike,86,1.09,Blue,XL,Kids' Fashion
116
+ 30,297,Sweater,Gucci,14,1.88,Blue,XL,Kids' Fashion
117
+ 58,417,Shoes,H&M,88,2.85,Red,S,Women's Fashion
118
+ 48,859,T-shirt,Adidas,44,1.4,Red,L,Women's Fashion
119
+ 25,320,Sweater,H&M,86,3.15,Yellow,L,Kids' Fashion
120
+ 69,299,Shoes,Gucci,21,2.95,Green,S,Kids' Fashion
121
+ 16,376,Shoes,H&M,22,3.83,Green,S,Kids' Fashion
122
+ 14,476,Shoes,H&M,70,4.08,White,XL,Women's Fashion
123
+ 88,243,Shoes,H&M,79,1.06,White,XL,Men's Fashion
124
+ 50,64,Shoes,Gucci,72,1.78,Red,M,Kids' Fashion
125
+ 18,413,Jeans,Zara,21,4.85,Green,XL,Women's Fashion
126
+ 8,671,Dress,Adidas,16,3.23,Blue,L,Women's Fashion
127
+ 100,128,T-shirt,H&M,61,2.31,Green,M,Women's Fashion
128
+ 58,322,Shoes,H&M,18,1.71,Red,M,Kids' Fashion
129
+ 15,835,T-shirt,Nike,84,2.89,Yellow,XL,Kids' Fashion
130
+ 86,258,Dress,Gucci,14,3.56,Yellow,S,Women's Fashion
131
+ 4,962,Shoes,Adidas,97,2.61,Green,L,Women's Fashion
132
+ 72,508,Dress,Gucci,25,4.46,Blue,M,Men's Fashion
133
+ 8,193,T-shirt,H&M,60,2.94,White,L,Women's Fashion
134
+ 20,731,Sweater,Adidas,62,4.9,White,XL,Men's Fashion
135
+ 44,227,Dress,Adidas,20,4.14,Red,S,Kids' Fashion
136
+ 48,224,T-shirt,Adidas,88,1.75,White,L,Women's Fashion
137
+ 79,422,Dress,Nike,20,2.12,Blue,S,Kids' Fashion
138
+ 46,958,Shoes,Adidas,16,2.2,Green,M,Men's Fashion
139
+ 93,770,T-shirt,H&M,14,4.68,Yellow,S,Kids' Fashion
140
+ 25,778,Dress,Nike,80,3.98,White,L,Kids' Fashion
141
+ 46,264,Dress,Gucci,55,3.19,White,XL,Women's Fashion
142
+ 100,397,Shoes,Zara,94,1.57,White,XL,Kids' Fashion
143
+ 82,976,Dress,Nike,42,1.54,White,M,Kids' Fashion
144
+ 46,780,T-shirt,Gucci,89,1.72,Blue,XL,Kids' Fashion
145
+ 35,542,Dress,Adidas,92,4.02,Red,S,Men's Fashion
146
+ 34,328,Jeans,Adidas,12,1.3,Blue,L,Kids' Fashion
147
+ 89,665,T-shirt,H&M,25,3.17,Red,S,Women's Fashion
148
+ 88,318,Sweater,Zara,49,1.16,Yellow,S,Men's Fashion
149
+ 65,25,Sweater,H&M,38,1.02,Green,S,Kids' Fashion
150
+ 80,573,Shoes,Zara,78,3.4,White,L,Kids' Fashion
151
+ 54,168,Sweater,Gucci,69,4.46,Green,XL,Women's Fashion
152
+ 26,729,Sweater,Gucci,10,2.73,Yellow,XL,Kids' Fashion
153
+ 6,92,Jeans,Adidas,100,1.85,White,M,Men's Fashion
154
+ 44,901,Jeans,Zara,41,4.64,Red,XL,Men's Fashion
155
+ 89,614,Sweater,Gucci,47,1.35,Green,L,Men's Fashion
156
+ 6,211,Jeans,Zara,50,3.17,Green,L,Women's Fashion
157
+ 28,519,Sweater,Adidas,29,3.48,Blue,XL,Women's Fashion
158
+ 72,81,T-shirt,Nike,66,2.4,Green,S,Women's Fashion
159
+ 4,278,Jeans,Gucci,98,2.96,Black,L,Men's Fashion
160
+ 12,94,Shoes,Zara,21,3.94,Yellow,XL,Women's Fashion
161
+ 49,930,T-shirt,Adidas,31,3.01,White,M,Women's Fashion
162
+ 10,641,Shoes,Zara,20,1.99,White,M,Kids' Fashion
163
+ 89,379,Jeans,Nike,25,3.64,White,M,Women's Fashion
164
+ 68,375,Jeans,Zara,49,4.27,Blue,XL,Women's Fashion
165
+ 35,105,Jeans,Zara,52,1.75,Yellow,L,Women's Fashion
166
+ 52,843,Shoes,Nike,91,2.72,Red,M,Kids' Fashion
167
+ 40,236,Shoes,Zara,44,1.72,White,S,Men's Fashion
168
+ 87,21,Jeans,H&M,56,2.61,Yellow,S,Men's Fashion
169
+ 88,497,Jeans,Gucci,30,3.7,Yellow,M,Women's Fashion
170
+ 63,61,Shoes,Adidas,25,1.04,Yellow,M,Women's Fashion
171
+ 12,533,Shoes,Nike,11,4.83,Green,S,Kids' Fashion
172
+ 60,368,Shoes,Nike,35,1.54,Blue,XL,Women's Fashion
173
+ 14,752,Dress,Gucci,72,1.97,Blue,L,Men's Fashion
174
+ 39,157,Dress,Adidas,67,3.98,Yellow,S,Women's Fashion
175
+ 57,103,Jeans,Zara,84,3.65,White,XL,Women's Fashion
176
+ 42,721,Shoes,Zara,77,2.21,Blue,M,Kids' Fashion
177
+ 35,220,T-shirt,H&M,42,4.51,Blue,L,Kids' Fashion
178
+ 44,137,Dress,Gucci,90,3.32,Green,S,Kids' Fashion
179
+ 74,648,T-shirt,Gucci,20,3.26,White,L,Men's Fashion
180
+ 78,970,Sweater,H&M,19,4.98,White,L,Kids' Fashion
181
+ 55,723,T-shirt,Nike,97,1.11,White,S,Men's Fashion
182
+ 55,317,Dress,Adidas,23,4.4,Red,XL,Women's Fashion
183
+ 92,112,Jeans,Adidas,15,2.45,White,S,Men's Fashion
184
+ 68,545,Shoes,Zara,82,2.0,Red,XL,Men's Fashion
185
+ 52,340,Sweater,Adidas,32,1.25,Blue,L,Women's Fashion
186
+ 16,873,T-shirt,Gucci,27,3.34,Red,L,Kids' Fashion
187
+ 84,444,Dress,Nike,31,1.56,White,XL,Men's Fashion
188
+ 42,344,Dress,Nike,44,3.87,Blue,L,Kids' Fashion
189
+ 78,848,Shoes,Nike,31,3.76,White,L,Kids' Fashion
190
+ 38,59,Dress,Nike,93,3.16,Blue,M,Kids' Fashion
191
+ 72,727,Jeans,Adidas,11,4.42,White,S,Women's Fashion
192
+ 44,615,T-shirt,Nike,67,2.89,Red,L,Kids' Fashion
193
+ 67,656,Jeans,Nike,79,4.66,White,M,Men's Fashion
194
+ 57,429,Shoes,Gucci,94,3.83,Black,XL,Women's Fashion
195
+ 25,913,Shoes,Gucci,56,3.97,Black,S,Kids' Fashion
196
+ 46,702,Shoes,Gucci,58,4.79,Blue,L,Kids' Fashion
197
+ 37,756,Jeans,Adidas,34,1.67,Black,XL,Men's Fashion
198
+ 39,199,T-shirt,Zara,15,4.98,Black,M,Women's Fashion
199
+ 19,931,Dress,Zara,73,3.86,Blue,XL,Kids' Fashion
200
+ 13,682,Jeans,Adidas,52,4.35,Blue,XL,Women's Fashion
201
+ 30,488,Sweater,H&M,81,1.19,Yellow,XL,Men's Fashion
202
+ 31,15,Shoes,Zara,54,3.67,Yellow,M,Men's Fashion
203
+ 100,477,Sweater,Nike,30,1.56,Black,S,Men's Fashion
204
+ 54,179,Shoes,Adidas,53,1.03,Blue,M,Kids' Fashion
205
+ 54,62,T-shirt,Nike,66,2.06,Blue,L,Men's Fashion
206
+ 79,420,Jeans,Adidas,81,4.72,White,M,Men's Fashion
207
+ 11,640,T-shirt,Zara,72,2.75,Red,S,Kids' Fashion
208
+ 26,876,Dress,Nike,82,1.3,Green,M,Kids' Fashion
209
+ 70,504,Sweater,Zara,22,2.1,Black,XL,Men's Fashion
210
+ 10,89,Dress,Gucci,66,3.9,White,L,Men's Fashion
211
+ 22,894,Shoes,Adidas,37,1.41,Black,S,Men's Fashion
212
+ 66,845,Sweater,Gucci,92,2.1,Green,M,Men's Fashion
213
+ 91,714,Shoes,Zara,35,2.49,White,S,Men's Fashion
214
+ 33,396,Shoes,Zara,74,2.87,Blue,M,Men's Fashion
215
+ 64,632,Dress,Zara,66,3.76,Yellow,M,Kids' Fashion
216
+ 80,108,Sweater,Gucci,13,4.28,Green,L,Men's Fashion
217
+ 24,505,Dress,Zara,75,1.73,Black,S,Women's Fashion
218
+ 68,237,Shoes,Adidas,58,3.66,White,S,Men's Fashion
219
+ 89,390,Sweater,Adidas,86,4.45,Green,M,Women's Fashion
220
+ 72,936,Sweater,Gucci,33,1.88,White,M,Men's Fashion
221
+ 76,918,Shoes,H&M,73,3.8,Red,XL,Kids' Fashion
222
+ 13,314,Jeans,Nike,94,2.06,Red,L,Kids' Fashion
223
+ 94,72,T-shirt,H&M,51,2.79,Yellow,M,Women's Fashion
224
+ 74,255,T-shirt,H&M,81,2.55,Green,M,Kids' Fashion
225
+ 22,338,Sweater,Nike,70,1.44,Blue,S,Women's Fashion
226
+ 23,134,Sweater,Zara,60,3.63,Yellow,S,Women's Fashion
227
+ 60,333,Dress,H&M,70,2.04,Yellow,M,Kids' Fashion
228
+ 61,591,Jeans,Gucci,97,2.04,White,M,Women's Fashion
229
+ 61,180,T-shirt,Zara,43,2.37,Green,M,Kids' Fashion
230
+ 89,357,T-shirt,Adidas,15,3.41,Yellow,L,Kids' Fashion
231
+ 80,123,Sweater,Nike,65,2.65,Yellow,L,Women's Fashion
232
+ 65,578,Dress,Gucci,48,3.12,Green,L,Women's Fashion
233
+ 37,747,Jeans,Adidas,73,1.42,White,XL,Kids' Fashion
234
+ 90,395,Shoes,Nike,14,2.59,Yellow,M,Women's Fashion
235
+ 32,758,Jeans,Nike,51,4.22,Green,M,Women's Fashion
236
+ 22,864,Sweater,Nike,48,3.94,Yellow,L,Men's Fashion
237
+ 36,657,Jeans,Nike,87,2.1,Yellow,L,Men's Fashion
238
+ 78,219,Dress,H&M,97,1.97,Green,S,Women's Fashion
239
+ 52,699,T-shirt,Adidas,50,1.65,Green,S,Men's Fashion
240
+ 38,907,T-shirt,Adidas,27,1.57,Yellow,L,Men's Fashion
241
+ 40,534,Dress,Adidas,94,4.51,Yellow,M,Kids' Fashion
242
+ 97,593,Sweater,H&M,89,3.15,White,S,Men's Fashion
243
+ 62,346,Jeans,Adidas,19,4.83,Yellow,XL,Kids' Fashion
244
+ 44,563,Shoes,Adidas,39,4.04,Blue,XL,Men's Fashion
245
+ 94,884,Dress,Zara,51,2.89,Green,L,Men's Fashion
246
+ 5,449,Shoes,H&M,82,4.55,Black,XL,Men's Fashion
247
+ 46,975,Dress,Zara,19,3.1,Black,L,Men's Fashion
248
+ 37,77,Sweater,H&M,90,2.23,Blue,L,Kids' Fashion
249
+ 90,91,Jeans,H&M,85,3.05,Green,XL,Kids' Fashion
250
+ 42,997,Sweater,Nike,13,1.54,Green,L,Kids' Fashion
251
+ 68,250,Dress,H&M,21,2.77,Yellow,XL,Women's Fashion
252
+ 63,754,Jeans,Gucci,79,1.89,Red,L,Kids' Fashion
253
+ 100,566,Dress,Gucci,80,4.02,White,M,Kids' Fashion
254
+ 71,439,Jeans,Zara,20,2.57,White,XL,Men's Fashion
255
+ 7,513,Jeans,Zara,65,4.06,Green,M,Men's Fashion
256
+ 32,891,Dress,H&M,84,1.44,White,XL,Women's Fashion
257
+ 34,701,Jeans,Nike,17,2.26,Blue,XL,Women's Fashion
258
+ 42,75,Dress,H&M,86,2.89,Blue,S,Women's Fashion
259
+ 9,998,Sweater,Zara,47,3.96,White,L,Men's Fashion
260
+ 80,334,Sweater,Zara,16,1.86,Yellow,L,Men's Fashion
261
+ 91,706,Jeans,Gucci,69,1.05,Green,S,Women's Fashion
262
+ 74,48,T-shirt,Gucci,10,1.84,Green,M,Kids' Fashion
263
+ 29,343,T-shirt,Gucci,91,4.74,Yellow,XL,Women's Fashion
264
+ 54,865,Jeans,Gucci,80,1.67,Yellow,M,Women's Fashion
265
+ 75,370,T-shirt,Nike,58,2.63,White,S,Kids' Fashion
266
+ 81,229,Shoes,Adidas,65,1.82,Red,XL,Kids' Fashion
267
+ 60,38,T-shirt,Nike,76,2.66,Yellow,S,Kids' Fashion
268
+ 62,95,Shoes,Gucci,58,1.97,Blue,S,Women's Fashion
269
+ 39,295,Dress,H&M,56,2.42,Black,XL,Kids' Fashion
270
+ 59,176,Dress,H&M,91,2.0,Red,XL,Kids' Fashion
271
+ 94,900,T-shirt,Nike,91,1.61,Blue,XL,Men's Fashion
272
+ 81,922,Jeans,Gucci,45,4.58,Green,L,Men's Fashion
273
+ 92,484,Sweater,Gucci,47,2.12,Red,XL,Men's Fashion
274
+ 12,768,Shoes,H&M,95,4.6,White,M,Women's Fashion
275
+ 51,60,Shoes,H&M,24,1.59,Yellow,XL,Kids' Fashion
276
+ 30,207,Sweater,Gucci,53,2.79,Black,M,Kids' Fashion
277
+ 89,916,Sweater,Nike,91,3.46,Black,M,Men's Fashion
278
+ 81,939,Jeans,H&M,93,4.95,White,M,Men's Fashion
279
+ 89,993,Shoes,H&M,33,4.0,Yellow,S,Women's Fashion
280
+ 61,568,Sweater,Gucci,20,3.49,Red,L,Kids' Fashion
281
+ 78,55,Sweater,Adidas,76,2.82,Red,S,Kids' Fashion
282
+ 46,160,Shoes,Gucci,35,2.98,Black,L,Women's Fashion
283
+ 9,634,Shoes,Nike,27,1.3,Yellow,S,Kids' Fashion
284
+ 24,463,Dress,Adidas,25,3.18,Blue,M,Men's Fashion
285
+ 36,500,Shoes,Zara,88,1.7,Red,M,Women's Fashion
286
+ 35,192,Sweater,Zara,87,3.96,White,L,Kids' Fashion
287
+ 71,287,T-shirt,Zara,62,4.54,Blue,XL,Kids' Fashion
288
+ 91,1000,Shoes,Adidas,79,3.09,White,L,Women's Fashion
289
+ 71,771,T-shirt,Zara,82,1.57,Red,XL,Men's Fashion
290
+ 30,323,Shoes,Zara,95,2.33,Green,M,Women's Fashion
291
+ 6,966,Jeans,Gucci,66,4.87,Black,S,Kids' Fashion
292
+ 26,305,Shoes,H&M,90,2.33,White,L,Women's Fashion
293
+ 31,152,Jeans,Nike,71,4.82,Green,S,Men's Fashion
294
+ 34,269,Shoes,H&M,100,4.74,Black,S,Kids' Fashion
295
+ 34,995,Sweater,Adidas,58,4.4,Red,S,Kids' Fashion
296
+ 24,941,Jeans,Zara,70,1.66,White,XL,Men's Fashion
297
+ 50,531,Dress,H&M,45,2.89,Green,L,Women's Fashion
298
+ 5,809,Jeans,Adidas,22,3.14,White,XL,Men's Fashion
299
+ 2,957,Jeans,Nike,57,4.93,White,L,Men's Fashion
300
+ 84,85,Shoes,Nike,89,1.11,Yellow,XL,Women's Fashion
301
+ 72,525,T-shirt,Adidas,58,2.44,Blue,M,Kids' Fashion
302
+ 52,117,Dress,Zara,75,3.99,White,M,Kids' Fashion
303
+ 75,642,T-shirt,Gucci,22,4.97,Black,S,Kids' Fashion
304
+ 24,212,T-shirt,Adidas,71,3.44,White,S,Women's Fashion
305
+ 70,773,Shoes,Nike,74,2.5,Black,XL,Women's Fashion
306
+ 56,803,Sweater,Nike,13,1.62,Blue,XL,Men's Fashion
307
+ 84,40,Dress,Zara,26,2.44,Black,XL,Women's Fashion
308
+ 25,765,Sweater,H&M,86,4.83,Blue,S,Kids' Fashion
309
+ 78,284,T-shirt,Zara,23,3.81,Black,S,Men's Fashion
310
+ 80,161,Sweater,Adidas,67,4.74,Blue,M,Women's Fashion
311
+ 83,403,Shoes,Adidas,61,3.49,Red,S,Men's Fashion
312
+ 7,530,Shoes,Adidas,71,3.36,Black,M,Kids' Fashion
313
+ 11,675,Sweater,Nike,29,1.4,Green,XL,Kids' Fashion
314
+ 50,277,Dress,H&M,49,1.89,White,M,Kids' Fashion
315
+ 26,579,Shoes,Gucci,57,4.99,White,XL,Women's Fashion
316
+ 52,387,Dress,Adidas,24,1.17,Green,XL,Women's Fashion
317
+ 9,686,Jeans,H&M,75,2.95,Green,M,Women's Fashion
318
+ 10,433,Jeans,H&M,59,3.88,Yellow,M,Men's Fashion
319
+ 91,902,Shoes,Gucci,40,3.19,Black,XL,Women's Fashion
320
+ 4,977,T-shirt,Nike,91,4.04,Red,XL,Men's Fashion
321
+ 95,121,T-shirt,Gucci,96,1.63,Red,M,Men's Fashion
322
+ 91,692,Dress,Nike,39,4.71,Red,XL,Women's Fashion
323
+ 43,252,Dress,H&M,25,1.66,Blue,L,Men's Fashion
324
+ 9,78,T-shirt,Nike,76,1.3,White,XL,Men's Fashion
325
+ 54,874,Dress,Gucci,45,4.16,Yellow,XL,Kids' Fashion
326
+ 38,886,Dress,Gucci,27,3.42,Blue,M,Men's Fashion
327
+ 40,726,T-shirt,Nike,10,3.21,Red,XL,Men's Fashion
328
+ 69,11,T-shirt,Adidas,51,1.16,Red,S,Men's Fashion
329
+ 73,306,T-shirt,Gucci,23,2.8,Black,XL,Men's Fashion
330
+ 95,597,Jeans,H&M,38,3.24,Blue,M,Men's Fashion
331
+ 28,409,Shoes,Nike,26,2.01,Red,S,Kids' Fashion
332
+ 7,366,Dress,Nike,29,4.15,Yellow,L,Women's Fashion
333
+ 37,562,T-shirt,Zara,29,4.44,Green,L,Kids' Fashion
334
+ 27,903,Sweater,Nike,99,2.19,Yellow,M,Women's Fashion
335
+ 36,210,Jeans,Adidas,42,2.05,Yellow,M,Women's Fashion
336
+ 74,604,T-shirt,Gucci,10,3.98,Yellow,S,Men's Fashion
337
+ 17,708,T-shirt,Nike,76,4.45,Black,M,Kids' Fashion
338
+ 18,36,Dress,H&M,74,1.01,Green,S,Kids' Fashion
339
+ 48,410,Jeans,H&M,64,4.72,Green,XL,Kids' Fashion
340
+ 60,23,Jeans,Zara,91,4.07,Yellow,M,Kids' Fashion
341
+ 18,163,Dress,Nike,93,4.27,Green,S,Women's Fashion
342
+ 90,608,T-shirt,H&M,51,2.71,Blue,M,Women's Fashion
343
+ 31,280,Dress,Gucci,19,2.13,White,XL,Kids' Fashion
344
+ 13,923,Sweater,Zara,79,2.83,White,L,Men's Fashion
345
+ 73,840,Shoes,Zara,84,3.15,Red,S,Kids' Fashion
346
+ 2,90,Jeans,H&M,37,3.96,Red,XL,Men's Fashion
347
+ 68,797,Sweater,H&M,62,1.12,Red,XL,Kids' Fashion
348
+ 86,483,T-shirt,Zara,75,2.65,Black,XL,Women's Fashion
349
+ 19,393,Shoes,H&M,32,1.75,Black,M,Men's Fashion
350
+ 14,495,Jeans,Nike,78,1.13,Blue,S,Women's Fashion
351
+ 85,963,Shoes,H&M,21,4.28,Black,XL,Men's Fashion
352
+ 76,271,Jeans,Nike,45,4.08,Blue,L,Men's Fashion
353
+ 4,950,T-shirt,Zara,86,1.71,Green,L,Men's Fashion
354
+ 57,493,Shoes,H&M,88,3.13,White,XL,Kids' Fashion
355
+ 28,798,Jeans,H&M,75,1.8,Blue,M,Kids' Fashion
356
+ 87,905,Jeans,Nike,83,1.05,Red,XL,Women's Fashion
357
+ 13,414,Dress,Zara,63,2.18,Black,XL,Kids' Fashion
358
+ 86,761,Dress,H&M,92,3.64,Black,L,Men's Fashion
359
+ 65,786,T-shirt,H&M,73,3.96,White,L,Kids' Fashion
360
+ 61,235,Shoes,Zara,50,1.81,Green,L,Women's Fashion
361
+ 52,101,Jeans,Zara,95,1.5,Green,XL,Women's Fashion
362
+ 61,502,Dress,Zara,33,4.99,Blue,M,Kids' Fashion
363
+ 80,428,T-shirt,Gucci,34,1.9,Green,M,Kids' Fashion
364
+ 5,151,Shoes,Adidas,77,2.35,Blue,M,Men's Fashion
365
+ 82,174,Jeans,Adidas,80,3.33,Black,M,Kids' Fashion
366
+ 61,331,T-shirt,Adidas,25,3.27,Black,S,Kids' Fashion
367
+ 37,926,Dress,Zara,73,2.19,Blue,L,Women's Fashion
368
+ 48,114,Shoes,H&M,37,1.46,Red,M,Men's Fashion
369
+ 60,889,Shoes,Adidas,25,4.6,Yellow,XL,Kids' Fashion
370
+ 30,416,Sweater,H&M,92,3.25,Blue,S,Women's Fashion
371
+ 27,567,Dress,Zara,96,1.21,Black,M,Kids' Fashion
372
+ 67,150,T-shirt,Nike,43,1.2,Green,M,Women's Fashion
373
+ 56,20,Dress,Gucci,53,3.79,Green,L,Men's Fashion
374
+ 50,498,Dress,Zara,59,2.99,Yellow,XL,Men's Fashion
375
+ 61,800,T-shirt,H&M,38,4.78,Red,S,Men's Fashion
376
+ 50,407,Shoes,Nike,78,3.58,White,XL,Women's Fashion
377
+ 38,445,Sweater,H&M,74,4.2,Yellow,L,Kids' Fashion
378
+ 31,790,Shoes,Adidas,34,1.1,Red,S,Men's Fashion
379
+ 90,521,T-shirt,Adidas,19,3.26,White,M,Men's Fashion
380
+ 54,140,Shoes,Zara,40,2.02,Green,M,Kids' Fashion
381
+ 45,819,T-shirt,Zara,41,3.44,White,XL,Men's Fashion
382
+ 39,148,Shoes,Adidas,82,2.72,Black,L,Women's Fashion
383
+ 84,868,Sweater,Gucci,72,3.93,Red,L,Kids' Fashion
384
+ 53,805,Dress,H&M,84,3.39,Blue,XL,Men's Fashion
385
+ 80,601,Dress,Adidas,44,1.03,White,L,Women's Fashion
386
+ 7,638,Sweater,Adidas,22,4.91,White,M,Men's Fashion
387
+ 77,529,Shoes,Gucci,59,2.0,White,L,Women's Fashion
388
+ 88,442,T-shirt,H&M,74,3.91,Red,S,Men's Fashion
389
+ 92,967,Shoes,Gucci,85,4.0,Blue,M,Kids' Fashion
390
+ 95,149,Jeans,Adidas,56,4.0,Green,M,Women's Fashion
391
+ 91,292,T-shirt,Nike,63,3.08,Green,S,Men's Fashion
392
+ 8,427,T-shirt,Zara,15,4.72,Yellow,XL,Kids' Fashion
393
+ 61,310,Jeans,H&M,83,3.95,White,XL,Men's Fashion
394
+ 65,751,Jeans,Gucci,72,2.1,Blue,S,Kids' Fashion
395
+ 2,850,T-shirt,Nike,73,1.27,Yellow,L,Kids' Fashion
396
+ 50,350,Jeans,H&M,80,2.8,Black,XL,Kids' Fashion
397
+ 18,421,T-shirt,Nike,89,1.65,White,M,Kids' Fashion
398
+ 89,734,Dress,Zara,80,1.59,Blue,XL,Women's Fashion
399
+ 80,909,Jeans,Nike,32,3.33,Green,XL,Women's Fashion
400
+ 24,56,Dress,Nike,53,2.25,White,XL,Women's Fashion
401
+ 87,373,T-shirt,Adidas,63,3.15,Green,M,Men's Fashion
402
+ 34,878,Sweater,Nike,59,4.02,Yellow,XL,Women's Fashion
403
+ 19,49,Sweater,Gucci,52,3.01,Green,XL,Kids' Fashion
404
+ 46,39,Jeans,Adidas,90,1.79,Yellow,M,Men's Fashion
405
+ 73,633,Dress,Nike,72,3.75,Red,L,Women's Fashion
406
+ 87,28,Shoes,Zara,32,2.82,Yellow,L,Women's Fashion
407
+ 21,744,Shoes,Zara,97,3.0,Black,XL,Men's Fashion
408
+ 49,302,T-shirt,Gucci,37,4.9,White,M,Kids' Fashion
409
+ 11,426,Jeans,Zara,48,4.64,Black,L,Men's Fashion
410
+ 77,244,Sweater,Zara,85,3.47,Blue,XL,Women's Fashion
411
+ 44,626,Jeans,Adidas,29,4.18,Yellow,S,Men's Fashion
412
+ 8,717,Sweater,Nike,34,4.23,Yellow,M,Women's Fashion
413
+ 61,862,Sweater,Adidas,14,1.58,Blue,S,Kids' Fashion
414
+ 32,195,Shoes,Zara,60,3.34,White,L,Kids' Fashion
415
+ 27,386,Dress,Adidas,17,3.58,Yellow,XL,Women's Fashion
416
+ 70,131,T-shirt,H&M,50,3.38,Blue,M,Men's Fashion
417
+ 75,144,Shoes,Adidas,57,1.0,Blue,M,Kids' Fashion
418
+ 48,732,Shoes,Zara,28,2.65,Blue,S,Women's Fashion
419
+ 69,342,Sweater,Zara,27,3.98,Yellow,S,Women's Fashion
420
+ 70,457,Jeans,Gucci,36,1.6,Green,M,Women's Fashion
421
+ 92,496,T-shirt,Adidas,59,1.73,Green,L,Kids' Fashion
422
+ 39,775,Dress,H&M,60,3.2,White,M,Men's Fashion
423
+ 94,218,Sweater,Gucci,69,3.08,Red,M,Men's Fashion
424
+ 62,369,Shoes,Nike,96,3.8,Green,M,Women's Fashion
425
+ 83,469,Dress,Nike,95,4.91,Yellow,XL,Women's Fashion
426
+ 93,628,Sweater,Nike,64,3.81,Red,S,Women's Fashion
427
+ 25,267,Jeans,Adidas,53,4.44,Black,S,Women's Fashion
428
+ 20,183,Jeans,Zara,67,2.68,Black,M,Kids' Fashion
429
+ 100,669,Shoes,Adidas,66,2.93,White,L,Women's Fashion
430
+ 100,707,Dress,Adidas,68,4.3,Green,M,Women's Fashion
431
+ 38,580,Shoes,Adidas,92,2.49,Green,S,Men's Fashion
432
+ 25,647,Shoes,Adidas,60,1.62,Black,M,Women's Fashion
433
+ 33,239,Shoes,Gucci,93,3.96,White,L,Kids' Fashion
434
+ 71,750,Shoes,Nike,57,3.73,Red,L,Kids' Fashion
435
+ 33,637,Shoes,Zara,55,3.77,Green,S,Kids' Fashion
436
+ 53,203,Jeans,Zara,75,1.88,Yellow,S,Women's Fashion
437
+ 73,475,Sweater,H&M,69,4.07,Yellow,S,Men's Fashion
438
+ 44,46,Dress,Zara,38,2.83,Yellow,XL,Men's Fashion
439
+ 90,315,Jeans,Nike,56,1.22,White,XL,Kids' Fashion
440
+ 36,646,Sweater,Zara,36,2.81,Green,M,Men's Fashion
441
+ 54,742,Dress,H&M,85,3.46,Yellow,L,Men's Fashion
442
+ 64,644,Shoes,H&M,79,1.07,White,M,Kids' Fashion
443
+ 26,79,T-shirt,Nike,11,1.33,Red,L,Men's Fashion
444
+ 17,572,Sweater,H&M,63,4.05,Blue,S,Men's Fashion
445
+ 63,911,Jeans,Nike,89,2.1,White,S,Kids' Fashion
446
+ 70,564,Shoes,Adidas,31,4.56,Blue,M,Kids' Fashion
447
+ 55,856,Jeans,Gucci,93,1.8,Green,XL,Women's Fashion
448
+ 6,65,Shoes,H&M,33,3.05,Yellow,XL,Kids' Fashion
449
+ 41,577,T-shirt,H&M,66,2.16,White,M,Women's Fashion
450
+ 100,806,Jeans,Zara,11,3.78,Green,L,Women's Fashion
451
+ 74,385,Shoes,Gucci,35,3.67,Yellow,L,Women's Fashion
452
+ 69,286,T-shirt,H&M,13,3.24,White,XL,Kids' Fashion
453
+ 99,111,Shoes,Zara,55,2.39,Green,M,Women's Fashion
454
+ 40,162,T-shirt,Nike,48,2.98,Red,L,Women's Fashion
455
+ 7,432,Jeans,H&M,55,2.24,Blue,L,Kids' Fashion
456
+ 35,981,Shoes,Nike,97,3.44,White,XL,Women's Fashion
457
+ 76,576,T-shirt,H&M,26,3.09,White,S,Women's Fashion
458
+ 42,813,Sweater,Zara,97,3.05,Blue,M,Men's Fashion
459
+ 37,928,Sweater,Adidas,10,4.59,Black,L,Kids' Fashion
460
+ 51,266,Jeans,Gucci,62,2.37,White,XL,Kids' Fashion
461
+ 73,883,Shoes,Nike,49,1.93,Yellow,L,Kids' Fashion
462
+ 57,4,Shoes,Zara,23,1.05,White,S,Men's Fashion
463
+ 35,760,Jeans,Nike,57,3.46,Green,S,Women's Fashion
464
+ 99,575,T-shirt,H&M,72,4.76,White,L,Kids' Fashion
465
+ 42,360,Sweater,H&M,24,2.26,Black,XL,Women's Fashion
466
+ 77,987,Shoes,H&M,42,3.25,Red,M,Women's Fashion
467
+ 98,50,T-shirt,H&M,38,3.08,Blue,L,Women's Fashion
468
+ 81,696,Sweater,Adidas,39,4.59,Green,XL,Men's Fashion
469
+ 54,494,Sweater,Zara,82,4.68,Green,M,Kids' Fashion
470
+ 32,383,Jeans,H&M,86,2.53,Black,L,Men's Fashion
471
+ 100,166,Sweater,Adidas,96,4.74,White,L,Kids' Fashion
472
+ 59,842,Jeans,Adidas,44,3.06,White,XL,Men's Fashion
473
+ 27,436,T-shirt,Zara,99,2.82,Black,XL,Kids' Fashion
474
+ 78,815,Sweater,Zara,16,3.13,Black,S,Women's Fashion
475
+ 3,198,T-shirt,Zara,67,3.03,Blue,XL,Men's Fashion
476
+ 75,822,T-shirt,Gucci,48,4.74,Green,XL,Kids' Fashion
477
+ 77,116,Shoes,Adidas,60,3.11,Green,M,Women's Fashion
478
+ 4,86,Sweater,Zara,50,3.28,Yellow,M,Men's Fashion
479
+ 20,737,T-shirt,Adidas,78,1.13,Blue,S,Kids' Fashion
480
+ 37,666,T-shirt,H&M,76,1.94,Black,S,Women's Fashion
481
+ 32,705,Dress,Nike,67,2.2,Black,L,Kids' Fashion
482
+ 33,377,Shoes,Zara,54,3.72,Black,L,Women's Fashion
483
+ 73,791,Jeans,Gucci,58,3.65,Green,L,Women's Fashion
484
+ 95,283,Sweater,H&M,80,4.18,White,S,Men's Fashion
485
+ 45,557,Shoes,Adidas,85,1.5,Black,M,Women's Fashion
486
+ 17,621,Shoes,H&M,72,2.65,Yellow,S,Men's Fashion
487
+ 82,846,T-shirt,Nike,26,4.3,Yellow,M,Kids' Fashion
488
+ 15,18,Jeans,Gucci,73,4.5,Red,XL,Women's Fashion
489
+ 69,33,Jeans,H&M,89,4.8,Green,XL,Kids' Fashion
490
+ 52,481,Jeans,Zara,24,1.67,Blue,XL,Women's Fashion
491
+ 52,351,Jeans,Nike,95,4.47,Red,XL,Women's Fashion
492
+ 84,968,Sweater,Gucci,46,1.34,Black,S,Kids' Fashion
493
+ 38,257,Shoes,Nike,82,3.48,Red,S,Women's Fashion
494
+ 79,887,Sweater,Adidas,88,3.65,Blue,XL,Men's Fashion
495
+ 41,537,Jeans,Nike,68,2.41,Red,M,Men's Fashion
496
+ 54,76,Jeans,Adidas,39,2.97,Black,XL,Women's Fashion
497
+ 80,616,Dress,Zara,98,4.87,Red,M,Women's Fashion
498
+ 93,178,Jeans,Nike,26,1.69,Red,XL,Women's Fashion
499
+ 76,213,Jeans,Zara,80,4.86,Yellow,XL,Women's Fashion
500
+ 33,54,Shoes,H&M,33,2.45,Blue,S,Men's Fashion
501
+ 37,507,T-shirt,Zara,85,4.06,White,XL,Women's Fashion
502
+ 7,127,Shoes,Zara,47,4.87,Yellow,M,Women's Fashion
503
+ 11,716,Shoes,Adidas,68,3.93,Red,S,Men's Fashion
504
+ 62,307,Dress,Zara,11,3.89,Yellow,S,Men's Fashion
505
+ 38,852,Jeans,H&M,83,3.01,Red,XL,Kids' Fashion
506
+ 10,553,Shoes,Adidas,90,1.2,Green,XL,Men's Fashion
507
+ 3,824,Shoes,Zara,17,1.08,White,L,Women's Fashion
508
+ 55,491,Dress,Zara,42,3.12,Black,M,Kids' Fashion
509
+ 28,793,T-shirt,Zara,82,1.32,Black,XL,Kids' Fashion
510
+ 49,215,T-shirt,Adidas,49,3.62,Yellow,S,Men's Fashion
511
+ 94,135,Dress,Adidas,14,3.65,Blue,L,Kids' Fashion
512
+ 48,715,Shoes,Nike,84,4.87,Yellow,L,Women's Fashion
513
+ 21,487,T-shirt,Adidas,62,3.7,Blue,XL,Women's Fashion
514
+ 41,312,Jeans,Zara,45,2.93,White,S,Men's Fashion
515
+ 43,461,Shoes,Zara,93,1.03,Red,M,Kids' Fashion
516
+ 19,688,Sweater,H&M,91,1.37,White,XL,Kids' Fashion
517
+ 39,53,T-shirt,Nike,16,1.29,Red,M,Men's Fashion
518
+ 68,262,Jeans,Gucci,94,4.29,Blue,S,Women's Fashion
519
+ 9,574,Jeans,Gucci,92,4.49,Black,L,Women's Fashion
520
+ 59,719,Dress,H&M,34,1.94,Blue,M,Women's Fashion
521
+ 73,745,Sweater,Zara,40,3.75,Blue,L,Men's Fashion
522
+ 72,945,Jeans,Gucci,58,2.01,Red,L,Kids' Fashion
523
+ 1,479,Sweater,Nike,51,1.2,Green,XL,Men's Fashion
524
+ 31,810,Jeans,Zara,39,1.07,Black,M,Kids' Fashion
525
+ 79,100,Shoes,Adidas,84,1.84,Red,L,Kids' Fashion
526
+ 39,319,Jeans,H&M,61,1.23,White,L,Men's Fashion
527
+ 65,253,T-shirt,Zara,98,4.24,White,M,Kids' Fashion
528
+ 19,831,Jeans,Gucci,37,2.55,Black,S,Kids' Fashion
529
+ 84,447,Shoes,H&M,27,4.73,Yellow,XL,Kids' Fashion
530
+ 46,251,Jeans,Gucci,87,2.19,White,L,Kids' Fashion
531
+ 65,462,Dress,Zara,34,2.03,Yellow,M,Women's Fashion
532
+ 97,345,Shoes,H&M,67,1.42,Yellow,S,Kids' Fashion
533
+ 47,506,Shoes,Nike,51,3.98,Blue,M,Women's Fashion
534
+ 37,711,Jeans,Adidas,34,3.48,Red,M,Men's Fashion
535
+ 22,110,Sweater,Gucci,33,4.67,Blue,XL,Women's Fashion
536
+ 87,216,Shoes,Gucci,57,3.88,White,M,Kids' Fashion
537
+ 80,52,Dress,Nike,59,3.96,Red,S,Kids' Fashion
538
+ 5,689,Jeans,H&M,32,3.22,Black,L,Kids' Fashion
539
+ 11,538,Dress,Nike,94,2.37,Blue,M,Men's Fashion
540
+ 92,877,Sweater,Zara,29,4.5,Red,L,Women's Fashion
541
+ 70,833,Sweater,H&M,82,1.1,Yellow,L,Kids' Fashion
542
+ 5,906,Shoes,Nike,23,2.55,Yellow,M,Kids' Fashion
543
+ 35,826,Shoes,Adidas,92,4.78,Red,S,Women's Fashion
544
+ 74,807,Jeans,Zara,31,2.0,Blue,S,Men's Fashion
545
+ 78,722,Dress,Adidas,73,3.96,Blue,L,Women's Fashion
546
+ 82,523,Sweater,Gucci,71,1.22,Black,S,Women's Fashion
547
+ 83,899,Shoes,Gucci,85,2.4,Red,XL,Men's Fashion
548
+ 45,910,Sweater,Adidas,34,1.2,Green,S,Kids' Fashion
549
+ 47,441,Sweater,Adidas,50,1.84,Black,XL,Men's Fashion
550
+ 48,35,Jeans,Zara,37,4.17,Blue,L,Women's Fashion
551
+ 6,655,T-shirt,Zara,33,2.0,Black,S,Men's Fashion
552
+ 43,42,Shoes,Zara,43,1.67,Red,S,Kids' Fashion
553
+ 25,676,Shoes,Nike,11,2.78,Black,L,Women's Fashion
554
+ 33,838,Jeans,Zara,60,2.68,Blue,S,Men's Fashion
555
+ 34,772,Shoes,Gucci,24,4.77,Black,XL,Men's Fashion
556
+ 79,474,Dress,H&M,68,1.37,Yellow,L,Kids' Fashion
557
+ 58,455,T-shirt,Gucci,51,1.29,Blue,M,Women's Fashion
558
+ 33,223,Jeans,Gucci,73,2.97,White,XL,Women's Fashion
559
+ 80,988,T-shirt,H&M,56,2.57,Blue,XL,Men's Fashion
560
+ 31,749,Shoes,Gucci,43,2.39,Black,L,Women's Fashion
561
+ 34,316,Jeans,H&M,68,2.1,Red,S,Women's Fashion
562
+ 30,466,Sweater,H&M,37,1.06,Black,L,Men's Fashion
563
+ 18,880,Sweater,Zara,48,1.94,White,L,Kids' Fashion
564
+ 51,990,T-shirt,Gucci,16,3.39,Yellow,S,Men's Fashion
565
+ 35,411,Sweater,Nike,67,3.26,Red,M,Men's Fashion
566
+ 9,13,Jeans,Nike,35,1.6,Red,M,Kids' Fashion
567
+ 99,755,T-shirt,Zara,90,3.47,White,S,Women's Fashion
568
+ 65,581,Sweater,Zara,83,4.72,Red,L,Men's Fashion
569
+ 59,214,Dress,Adidas,98,1.79,Yellow,XL,Women's Fashion
570
+ 72,363,Jeans,Nike,33,3.14,Yellow,L,Kids' Fashion
571
+ 87,725,Jeans,Gucci,12,3.81,Black,XL,Women's Fashion
572
+ 72,196,Jeans,Gucci,17,1.29,Red,M,Kids' Fashion
573
+ 66,804,T-shirt,Zara,91,2.63,Black,M,Kids' Fashion
574
+ 9,293,Sweater,Nike,96,2.77,Black,XL,Men's Fashion
575
+ 12,969,T-shirt,Gucci,26,2.31,Red,L,Kids' Fashion
576
+ 56,423,Jeans,Adidas,83,4.5,Black,M,Men's Fashion
577
+ 55,378,T-shirt,Nike,45,3.57,Red,S,Men's Fashion
578
+ 92,156,T-shirt,Adidas,21,1.15,Red,L,Women's Fashion
579
+ 60,861,Shoes,Gucci,98,4.66,White,XL,Men's Fashion
580
+ 96,230,Shoes,Zara,82,4.59,Black,S,Men's Fashion
581
+ 74,181,Shoes,H&M,80,4.83,Black,L,Kids' Fashion
582
+ 9,208,Jeans,Zara,79,2.67,White,M,Men's Fashion
583
+ 17,367,Shoes,Nike,31,2.71,Yellow,S,Women's Fashion
584
+ 8,999,T-shirt,Zara,68,3.09,Blue,S,Women's Fashion
585
+ 51,389,T-shirt,Zara,91,1.55,White,XL,Women's Fashion
586
+ 22,639,Shoes,Zara,26,3.55,Blue,L,Men's Fashion
587
+ 10,402,Shoes,H&M,30,1.5,Yellow,M,Women's Fashion
588
+ 24,739,Sweater,Gucci,80,1.23,Red,M,Kids' Fashion
589
+ 98,779,Jeans,Nike,94,3.73,Yellow,XL,Kids' Fashion
590
+ 73,718,T-shirt,Zara,30,1.37,White,L,Women's Fashion
591
+ 59,681,Shoes,Zara,24,3.81,Black,L,Kids' Fashion
592
+ 26,539,T-shirt,Nike,10,3.1,Blue,L,Kids' Fashion
593
+ 2,552,Sweater,Adidas,50,4.48,Blue,M,Kids' Fashion
594
+ 64,206,Jeans,Nike,56,4.36,Yellow,XL,Kids' Fashion
595
+ 96,700,Dress,H&M,78,4.82,Yellow,S,Women's Fashion
596
+ 89,733,Sweater,Adidas,75,4.89,Black,M,Women's Fashion
597
+ 73,776,Dress,Nike,86,2.22,Red,M,Men's Fashion
598
+ 75,625,Shoes,Adidas,78,3.45,Black,L,Kids' Fashion
599
+ 68,740,Dress,Nike,72,3.69,White,XL,Women's Fashion
600
+ 37,115,Dress,Adidas,64,2.89,Blue,L,Kids' Fashion
601
+ 30,453,Shoes,Nike,34,2.57,Red,S,Men's Fashion
602
+ 71,80,Jeans,Nike,21,2.94,Red,XL,Kids' Fashion
603
+ 6,70,Dress,Gucci,36,2.54,Yellow,M,Women's Fashion
604
+ 32,532,Shoes,Zara,21,2.07,Blue,L,Men's Fashion
605
+ 34,249,Jeans,H&M,41,1.88,Black,XL,Kids' Fashion
606
+ 44,259,Shoes,Nike,27,2.5,White,L,Men's Fashion
607
+ 35,651,Shoes,Gucci,16,1.01,Yellow,XL,Men's Fashion
608
+ 52,511,Jeans,H&M,78,2.93,Black,S,Kids' Fashion
609
+ 10,619,T-shirt,Nike,97,1.29,Blue,M,Women's Fashion
610
+ 29,927,T-shirt,Adidas,71,4.95,White,XL,Men's Fashion
611
+ 40,912,Dress,Adidas,22,3.29,Blue,L,Men's Fashion
612
+ 65,653,Dress,Gucci,17,4.81,Red,L,Kids' Fashion
613
+ 34,654,Shoes,Zara,42,4.28,Blue,S,Kids' Fashion
614
+ 14,849,Dress,Nike,60,3.64,Green,S,Kids' Fashion
615
+ 46,435,T-shirt,Adidas,47,2.72,Blue,XL,Men's Fashion
616
+ 40,777,Jeans,Adidas,88,1.8,Green,M,Kids' Fashion
617
+ 78,361,Sweater,H&M,62,1.76,Blue,XL,Kids' Fashion
618
+ 94,960,Jeans,Gucci,50,4.14,Red,M,Men's Fashion
619
+ 23,978,T-shirt,Zara,98,4.18,Black,M,Men's Fashion
620
+ 36,349,Dress,Adidas,97,3.15,White,XL,Kids' Fashion
621
+ 94,830,Jeans,Gucci,54,3.73,Green,S,Kids' Fashion
622
+ 50,982,Jeans,Nike,11,4.04,Green,S,Kids' Fashion
623
+ 56,974,Shoes,Gucci,72,3.1,Black,XL,Kids' Fashion
624
+ 60,364,Jeans,Nike,65,2.04,Black,M,Kids' Fashion
625
+ 41,587,T-shirt,Adidas,50,1.25,Blue,XL,Women's Fashion
626
+ 77,478,T-shirt,H&M,12,1.34,Green,L,Women's Fashion
627
+ 32,247,Shoes,Zara,72,2.26,White,S,Women's Fashion
628
+ 88,209,Dress,H&M,30,1.03,Black,XL,Women's Fashion
629
+ 98,32,T-shirt,Nike,78,3.45,White,XL,Kids' Fashion
630
+ 20,254,Jeans,Gucci,15,1.39,Yellow,L,Kids' Fashion
631
+ 91,787,Dress,H&M,96,3.26,Blue,XL,Women's Fashion
632
+ 12,490,T-shirt,Nike,41,1.98,Green,L,Men's Fashion
633
+ 56,125,Sweater,H&M,56,4.14,Green,L,Kids' Fashion
634
+ 89,246,Jeans,Gucci,68,3.18,Green,S,Kids' Fashion
635
+ 100,425,Jeans,Nike,96,3.81,Blue,XL,Men's Fashion
636
+ 48,197,Jeans,Nike,90,2.3,Yellow,XL,Kids' Fashion
637
+ 43,41,Jeans,Gucci,40,2.92,Blue,L,Women's Fashion
638
+ 34,165,Jeans,Gucci,67,2.28,White,XL,Women's Fashion
639
+ 50,710,Sweater,Zara,58,2.17,Red,S,Men's Fashion
640
+ 60,942,Shoes,Adidas,49,1.97,Green,L,Men's Fashion
641
+ 64,24,Jeans,Zara,15,2.5,Yellow,XL,Women's Fashion
642
+ 21,965,Sweater,Nike,55,3.5,Yellow,S,Men's Fashion
643
+ 80,904,Sweater,Zara,27,1.77,Yellow,M,Women's Fashion
644
+ 79,598,Shoes,Gucci,77,1.43,Yellow,XL,Women's Fashion
645
+ 98,694,T-shirt,Adidas,51,2.05,Red,L,Kids' Fashion
646
+ 82,698,Sweater,Zara,85,1.8,White,XL,Men's Fashion
647
+ 77,668,Shoes,Zara,11,1.84,White,S,Men's Fashion
648
+ 65,944,Sweater,H&M,49,3.08,Black,S,Kids' Fashion
649
+ 94,828,Sweater,H&M,29,4.4,Green,S,Women's Fashion
650
+ 96,855,Jeans,H&M,88,1.9,Red,L,Kids' Fashion
651
+ 48,191,T-shirt,Gucci,95,3.23,Black,M,Kids' Fashion
652
+ 13,288,Sweater,Nike,38,2.11,Black,M,Men's Fashion
653
+ 22,96,Dress,Gucci,30,4.66,Red,L,Women's Fashion
654
+ 78,44,Jeans,Nike,74,2.04,White,M,Kids' Fashion
655
+ 7,304,Dress,Adidas,85,1.3,Green,M,Women's Fashion
656
+ 40,600,T-shirt,Adidas,97,1.5,Yellow,M,Men's Fashion
657
+ 37,404,Shoes,Adidas,71,2.94,Green,M,Men's Fashion
658
+ 56,590,T-shirt,Nike,65,2.43,Green,L,Kids' Fashion
659
+ 9,811,Jeans,Gucci,63,1.84,White,M,Kids' Fashion
660
+ 54,408,Sweater,H&M,62,2.98,White,L,Men's Fashion
661
+ 43,452,Jeans,H&M,11,3.7,Green,XL,Kids' Fashion
662
+ 12,527,T-shirt,Nike,31,4.15,Yellow,M,Kids' Fashion
663
+ 22,789,Jeans,Nike,99,2.51,Yellow,XL,Women's Fashion
664
+ 100,82,Dress,H&M,31,4.61,Blue,S,Kids' Fashion
665
+ 98,6,Dress,Adidas,47,1.38,Yellow,L,Men's Fashion
666
+ 10,159,Jeans,Nike,50,2.24,Green,S,Kids' Fashion
667
+ 96,9,Sweater,H&M,53,4.47,Green,XL,Men's Fashion
668
+ 20,30,Sweater,Nike,99,3.11,Green,XL,Kids' Fashion
669
+ 16,186,Jeans,Adidas,56,2.43,Blue,L,Men's Fashion
670
+ 18,97,Jeans,Gucci,52,3.76,Green,L,Men's Fashion
671
+ 25,335,Sweater,Gucci,88,3.4,Red,XL,Men's Fashion
672
+ 90,885,T-shirt,Zara,94,3.03,White,XL,Kids' Fashion
673
+ 93,456,Shoes,Gucci,14,4.44,Blue,M,Men's Fashion
674
+ 91,155,T-shirt,Gucci,48,2.43,White,L,Women's Fashion
675
+ 97,659,Shoes,Zara,21,1.02,White,M,Women's Fashion
676
+ 62,814,Sweater,Zara,48,2.8,Yellow,XL,Women's Fashion
677
+ 45,695,Dress,Zara,78,4.73,Red,XL,Women's Fashion
678
+ 10,636,Shoes,Gucci,96,4.6,Yellow,L,Kids' Fashion
679
+ 61,405,Jeans,Adidas,30,2.68,Blue,S,Women's Fashion
680
+ 97,382,T-shirt,Gucci,93,3.58,Yellow,M,Men's Fashion
681
+ 75,683,Jeans,Gucci,31,2.41,White,XL,Men's Fashion
682
+ 42,451,T-shirt,Adidas,69,2.98,Green,XL,Kids' Fashion
683
+ 48,670,T-shirt,Gucci,55,4.27,Yellow,M,Men's Fashion
684
+ 3,324,Sweater,Gucci,18,4.53,Black,XL,Men's Fashion
685
+ 1,515,Dress,Nike,64,3.75,White,S,Kids' Fashion
686
+ 25,332,Shoes,Zara,75,3.15,Blue,M,Men's Fashion
687
+ 77,120,T-shirt,H&M,12,2.51,Green,M,Men's Fashion
688
+ 49,285,Sweater,Nike,80,3.7,Yellow,L,Women's Fashion
689
+ 89,895,Jeans,Gucci,88,2.1,Yellow,L,Women's Fashion
690
+ 76,783,Jeans,H&M,59,2.2,Red,S,Women's Fashion
691
+ 82,971,Shoes,H&M,45,3.38,Green,XL,Men's Fashion
692
+ 13,827,Shoes,Nike,92,1.78,Red,XL,Women's Fashion
693
+ 65,631,T-shirt,Zara,32,4.2,White,S,Kids' Fashion
694
+ 77,394,T-shirt,Gucci,56,3.53,Yellow,M,Men's Fashion
695
+ 63,8,Sweater,Zara,64,4.36,Blue,XL,Kids' Fashion
696
+ 63,118,Dress,Adidas,71,3.52,Yellow,S,Men's Fashion
697
+ 38,471,T-shirt,Nike,96,2.32,Black,M,Women's Fashion
698
+ 80,613,Jeans,Gucci,37,4.65,Black,XL,Women's Fashion
699
+ 61,954,T-shirt,Gucci,74,2.8,Green,L,Women's Fashion
700
+ 8,520,Dress,Zara,13,3.07,Red,L,Men's Fashion
701
+ 13,565,Sweater,Nike,11,2.59,White,L,Kids' Fashion
702
+ 26,26,Dress,Gucci,21,4.75,Green,S,Women's Fashion
703
+ 73,139,Sweater,Gucci,45,3.54,Blue,XL,Women's Fashion
704
+ 98,869,Jeans,Zara,100,1.84,Black,XL,Men's Fashion
705
+ 41,896,Jeans,Gucci,80,4.37,Black,S,Men's Fashion
706
+ 30,938,T-shirt,Gucci,100,3.22,Blue,S,Kids' Fashion
707
+ 13,467,Jeans,Adidas,69,1.8,Red,L,Women's Fashion
708
+ 65,126,T-shirt,Nike,55,4.85,Green,M,Kids' Fashion
709
+ 58,141,Jeans,Nike,28,4.44,Yellow,L,Women's Fashion
710
+ 85,610,Shoes,H&M,62,2.53,Green,M,Women's Fashion
711
+ 24,522,Sweater,Adidas,80,2.94,Yellow,S,Men's Fashion
712
+ 54,485,Dress,H&M,70,2.64,Black,S,Women's Fashion
713
+ 42,308,Jeans,Adidas,60,4.42,Yellow,S,Men's Fashion
714
+ 70,984,Dress,Gucci,64,2.91,Green,XL,Men's Fashion
715
+ 40,925,Sweater,H&M,69,3.28,Blue,S,Women's Fashion
716
+ 4,570,T-shirt,Adidas,54,1.45,Black,S,Women's Fashion
717
+ 36,526,Jeans,Zara,70,2.93,Red,L,Women's Fashion
718
+ 17,663,Sweater,Zara,52,1.19,Black,L,Women's Fashion
719
+ 52,424,Shoes,Adidas,45,3.06,Yellow,M,Women's Fashion
720
+ 38,185,Sweater,Gucci,34,1.57,Yellow,L,Men's Fashion
721
+ 20,501,Sweater,Adidas,41,4.32,Green,S,Kids' Fashion
722
+ 7,217,Sweater,Gucci,98,1.44,Yellow,S,Women's Fashion
723
+ 54,147,Shoes,Gucci,48,2.58,Green,L,Kids' Fashion
724
+ 46,339,Dress,Gucci,74,1.8,White,M,Women's Fashion
725
+ 9,480,Dress,Nike,70,1.79,Blue,XL,Men's Fashion
726
+ 67,989,T-shirt,Adidas,78,4.72,Black,S,Men's Fashion
727
+ 3,204,T-shirt,Zara,81,1.89,Black,M,Kids' Fashion
728
+ 9,596,Dress,H&M,35,3.94,Black,L,Women's Fashion
729
+ 23,782,T-shirt,Adidas,31,1.95,White,M,Men's Fashion
730
+ 64,929,Shoes,Gucci,33,3.99,Blue,S,Kids' Fashion
731
+ 56,22,Jeans,Gucci,89,4.57,Green,L,Women's Fashion
732
+ 3,867,Jeans,Nike,90,4.24,Black,S,Men's Fashion
733
+ 36,399,Dress,Adidas,37,2.63,Yellow,L,Men's Fashion
734
+ 67,890,T-shirt,H&M,42,1.04,Black,M,Men's Fashion
735
+ 65,823,T-shirt,H&M,77,2.88,White,L,Kids' Fashion
736
+ 41,17,Dress,Gucci,75,1.48,Blue,XL,Women's Fashion
737
+ 18,282,Jeans,Nike,75,1.27,Black,M,Men's Fashion
738
+ 57,550,T-shirt,Nike,69,2.93,Yellow,L,Men's Fashion
739
+ 79,5,T-shirt,Adidas,79,4.3,Black,M,Men's Fashion
740
+ 7,602,Sweater,Zara,11,4.34,White,L,Women's Fashion
741
+ 49,667,Shoes,Nike,64,1.1,Blue,XL,Kids' Fashion
742
+ 95,327,Dress,Adidas,72,4.57,White,L,Kids' Fashion
743
+ 24,171,Jeans,Nike,42,1.77,Blue,S,Men's Fashion
744
+ 61,627,T-shirt,Adidas,94,1.87,Green,M,Men's Fashion
745
+ 80,937,T-shirt,Gucci,38,1.12,Red,S,Men's Fashion
746
+ 4,949,T-shirt,Zara,96,4.47,Green,M,Kids' Fashion
747
+ 30,492,Sweater,Zara,69,1.38,Blue,M,Kids' Fashion
748
+ 37,685,Jeans,Nike,19,1.27,White,M,Men's Fashion
749
+ 99,296,T-shirt,H&M,25,4.1,White,S,Women's Fashion
750
+ 15,543,Jeans,Gucci,86,4.17,Yellow,M,Men's Fashion
751
+ 49,440,Dress,Zara,83,4.72,White,L,Women's Fashion
752
+ 64,104,Jeans,H&M,24,4.74,White,M,Men's Fashion
753
+ 92,605,Jeans,Adidas,62,2.9,Red,S,Women's Fashion
754
+ 92,569,Dress,Nike,55,4.24,Blue,XL,Kids' Fashion
755
+ 94,872,Jeans,H&M,96,4.65,Black,M,Women's Fashion
756
+ 77,274,Dress,Adidas,18,1.66,Red,S,Women's Fashion
757
+ 88,953,Jeans,Nike,19,1.54,Blue,L,Kids' Fashion
758
+ 31,684,Dress,Adidas,12,3.94,White,S,Women's Fashion
759
+ 95,784,Sweater,Zara,46,3.07,White,M,Men's Fashion
760
+ 16,933,Sweater,Adidas,76,3.39,Blue,L,Kids' Fashion
761
+ 60,45,Jeans,Gucci,85,4.89,Red,L,Women's Fashion
762
+ 87,518,Sweater,Gucci,56,2.58,Yellow,S,Men's Fashion
763
+ 51,516,Shoes,Gucci,33,1.6,Red,S,Women's Fashion
764
+ 27,245,Dress,H&M,15,2.33,Black,S,Women's Fashion
765
+ 93,47,Jeans,Zara,62,1.28,Green,S,Men's Fashion
766
+ 84,67,Jeans,Gucci,41,4.25,Green,M,Women's Fashion
767
+ 9,794,Jeans,H&M,68,4.29,Black,M,Women's Fashion
768
+ 51,524,T-shirt,Nike,47,1.93,Black,S,Kids' Fashion
769
+ 92,365,T-shirt,Nike,16,3.28,White,L,Men's Fashion
770
+ 5,853,Dress,H&M,20,3.01,Green,L,Kids' Fashion
771
+ 90,122,Sweater,H&M,36,4.43,Blue,XL,Women's Fashion
772
+ 85,482,Dress,Gucci,97,3.58,Yellow,M,Women's Fashion
773
+ 96,832,Jeans,Nike,87,2.36,Blue,L,Women's Fashion
774
+ 87,748,Sweater,Zara,45,3.35,Red,S,Kids' Fashion
775
+ 84,503,Sweater,Adidas,16,4.53,White,XL,Kids' Fashion
776
+ 56,841,Dress,Zara,37,3.01,Blue,M,Men's Fashion
777
+ 83,767,Shoes,H&M,72,4.63,Yellow,L,Men's Fashion
778
+ 31,34,Jeans,H&M,80,3.92,Black,S,Men's Fashion
779
+ 4,662,Dress,Nike,14,3.46,Black,S,Women's Fashion
780
+ 7,388,T-shirt,H&M,86,4.12,Green,M,Men's Fashion
781
+ 46,588,T-shirt,Gucci,24,3.41,White,S,Kids' Fashion
782
+ 76,347,Dress,H&M,18,1.11,Blue,XL,Men's Fashion
783
+ 16,138,Dress,H&M,23,1.81,Yellow,S,Women's Fashion
784
+ 34,321,Shoes,Gucci,40,4.45,Red,S,Kids' Fashion
785
+ 7,354,Dress,Gucci,74,3.86,Red,M,Men's Fashion
786
+ 97,2,Shoes,H&M,82,4.03,Black,L,Women's Fashion
787
+ 71,336,T-shirt,Nike,28,4.17,White,XL,Kids' Fashion
788
+ 48,541,Jeans,Nike,17,2.14,Green,S,Women's Fashion
789
+ 77,222,Dress,Adidas,36,1.11,Yellow,S,Kids' Fashion
790
+ 3,270,Sweater,Adidas,60,4.21,Blue,XL,Kids' Fashion
791
+ 31,672,Sweater,Zara,93,2.96,Blue,M,Kids' Fashion
792
+ 8,652,Jeans,Zara,74,1.06,Yellow,L,Kids' Fashion
793
+ 16,164,T-shirt,Nike,68,2.64,Red,L,Men's Fashion
794
+ 35,606,Dress,Nike,28,4.21,White,S,Women's Fashion
795
+ 77,935,Sweater,Adidas,60,1.88,Black,S,Men's Fashion
796
+ 14,915,Shoes,Adidas,35,2.93,White,M,Kids' Fashion
797
+ 39,398,T-shirt,H&M,16,2.19,White,M,Men's Fashion
798
+ 65,821,Dress,H&M,30,3.64,Blue,XL,Women's Fashion
799
+ 21,920,T-shirt,Gucci,95,3.8,Red,M,Women's Fashion
800
+ 82,418,Jeans,Zara,34,4.99,Blue,S,Men's Fashion
801
+ 59,994,Sweater,H&M,89,4.44,Green,L,Men's Fashion
802
+ 83,58,Shoes,Adidas,61,1.68,White,L,Women's Fashion
803
+ 80,629,Shoes,Gucci,95,3.58,White,M,Men's Fashion
804
+ 21,201,Jeans,Zara,57,4.25,Yellow,M,Women's Fashion
805
+ 36,31,Jeans,H&M,37,2.76,Blue,S,Kids' Fashion
806
+ 49,329,Jeans,Nike,56,3.74,Blue,XL,Women's Fashion
807
+ 51,618,Shoes,Gucci,85,4.73,Green,L,Kids' Fashion
808
+ 21,87,Shoes,Nike,41,4.13,Red,S,Men's Fashion
809
+ 87,66,Sweater,H&M,59,4.55,Red,XL,Kids' Fashion
810
+ 84,897,Jeans,H&M,22,3.82,White,S,Women's Fashion
811
+ 73,392,T-shirt,Zara,53,2.81,White,S,Men's Fashion
812
+ 6,74,Dress,Zara,68,2.88,White,XL,Women's Fashion
813
+ 95,400,Jeans,H&M,91,2.43,Green,S,Women's Fashion
814
+ 57,709,T-shirt,Adidas,53,1.68,White,XL,Men's Fashion
815
+ 11,736,T-shirt,Adidas,94,2.76,White,L,Men's Fashion
816
+ 51,817,T-shirt,Adidas,15,1.16,Black,XL,Kids' Fashion
817
+ 84,972,Jeans,Gucci,14,4.78,White,XL,Men's Fashion
818
+ 1,465,T-shirt,Gucci,17,1.2,White,M,Women's Fashion
819
+ 32,908,Shoes,Zara,36,3.19,White,M,Kids' Fashion
820
+ 98,173,Dress,Nike,21,3.1,Yellow,S,Kids' Fashion
821
+ 11,549,Dress,Zara,96,4.28,Blue,XL,Women's Fashion
822
+ 66,301,Shoes,Adidas,93,2.04,Yellow,M,Kids' Fashion
823
+ 39,182,Jeans,Zara,68,4.36,Yellow,L,Men's Fashion
824
+ 3,291,Dress,H&M,64,4.82,White,XL,Women's Fashion
825
+ 83,624,T-shirt,Nike,70,4.45,White,L,Women's Fashion
826
+ 63,940,T-shirt,Gucci,77,3.72,White,XL,Kids' Fashion
827
+ 42,992,T-shirt,Gucci,91,4.92,Black,M,Women's Fashion
828
+ 66,757,Shoes,Gucci,61,4.19,Black,L,Kids' Fashion
829
+ 2,611,Shoes,Gucci,85,2.03,White,L,Kids' Fashion
830
+ 17,952,Dress,Zara,60,2.55,Black,L,Women's Fashion
831
+ 49,863,Shoes,Gucci,99,1.43,Red,S,Men's Fashion
832
+ 26,556,T-shirt,H&M,39,2.6,Red,L,Women's Fashion
833
+ 89,609,Sweater,Adidas,75,4.79,Red,S,Kids' Fashion
834
+ 63,372,Dress,Nike,41,1.84,White,S,Men's Fashion
835
+ 75,860,Dress,Nike,43,4.03,Blue,S,Kids' Fashion
836
+ 10,764,Dress,H&M,30,2.06,Black,M,Women's Fashion
837
+ 49,551,Jeans,H&M,83,4.07,Blue,M,Women's Fashion
838
+ 46,225,Dress,Nike,61,1.64,Yellow,S,Men's Fashion
839
+ 92,167,Shoes,Zara,43,4.48,Blue,S,Kids' Fashion
840
+ 96,583,Dress,H&M,64,4.45,Green,L,Kids' Fashion
841
+ 72,430,T-shirt,Nike,92,2.77,Black,S,Kids' Fashion
842
+ 67,325,T-shirt,Nike,91,2.67,Black,XL,Men's Fashion
843
+ 100,959,Sweater,H&M,45,2.57,Yellow,XL,Kids' Fashion
844
+ 82,27,T-shirt,Adidas,72,3.3,Red,L,Kids' Fashion
845
+ 1,337,Shoes,Nike,80,1.59,White,L,Women's Fashion
846
+ 52,459,Dress,Adidas,10,2.34,Black,S,Kids' Fashion
847
+ 25,713,Jeans,Gucci,75,4.44,Blue,XL,Men's Fashion
848
+ 56,194,Sweater,Adidas,92,3.79,White,S,Women's Fashion
849
+ 92,450,Shoes,Nike,59,4.33,Black,XL,Kids' Fashion
850
+ 15,330,T-shirt,Zara,26,2.14,Blue,M,Men's Fashion
851
+ 23,571,Jeans,Nike,23,2.62,Red,M,Men's Fashion
852
+ 66,802,Shoes,Gucci,26,2.64,Green,XL,Men's Fashion
853
+ 42,818,Dress,Nike,36,4.02,Blue,L,Women's Fashion
854
+ 72,242,Dress,H&M,52,4.13,Green,M,Men's Fashion
855
+ 8,762,Jeans,Nike,50,3.8,Blue,XL,Kids' Fashion
856
+ 15,743,Jeans,H&M,55,1.73,Red,XL,Women's Fashion
857
+ 6,226,Sweater,H&M,16,2.43,Green,XL,Men's Fashion
858
+ 83,781,Sweater,Nike,85,4.83,Green,L,Men's Fashion
859
+ 53,63,Jeans,Zara,55,4.03,White,L,Kids' Fashion
860
+ 19,107,Sweater,Zara,23,3.32,Red,L,Men's Fashion
861
+ 83,919,Shoes,Adidas,96,3.36,Red,S,Women's Fashion
862
+ 71,512,Shoes,Nike,92,2.36,Blue,S,Men's Fashion
863
+ 41,205,T-shirt,H&M,73,2.98,Yellow,XL,Men's Fashion
864
+ 56,177,Sweater,Nike,12,4.57,Yellow,M,Kids' Fashion
865
+ 2,153,Shoes,Nike,31,1.95,Black,S,Kids' Fashion
866
+ 26,603,Dress,Zara,13,2.03,Black,S,Kids' Fashion
867
+ 8,265,T-shirt,H&M,60,2.75,Blue,XL,Kids' Fashion
868
+ 67,623,Shoes,Adidas,62,1.61,Green,L,Kids' Fashion
869
+ 87,12,Sweater,Gucci,91,2.7,Yellow,M,Kids' Fashion
870
+ 69,83,Shoes,Nike,49,1.42,Blue,L,Women's Fashion
871
+ 32,381,Shoes,H&M,23,3.32,Green,S,Men's Fashion
872
+ 39,956,Sweater,H&M,88,3.91,Black,M,Men's Fashion
873
+ 71,584,T-shirt,Gucci,17,2.64,Black,S,Women's Fashion
874
+ 30,281,Jeans,H&M,67,2.26,Green,S,Women's Fashion
875
+ 64,234,Sweater,H&M,55,1.7,White,S,Kids' Fashion
876
+ 89,406,Shoes,Nike,54,1.75,Black,L,Men's Fashion
877
+ 79,673,T-shirt,Gucci,83,3.18,Yellow,M,Kids' Fashion
878
+ 9,812,Dress,Nike,23,1.18,Blue,M,Women's Fashion
879
+ 64,932,Jeans,H&M,68,2.56,Yellow,L,Kids' Fashion
880
+ 29,592,Jeans,Nike,47,1.76,Yellow,M,Kids' Fashion
881
+ 82,724,Shoes,Adidas,57,3.17,Yellow,S,Women's Fashion
882
+ 60,499,Dress,Adidas,93,2.6,White,L,Kids' Fashion
883
+ 92,231,Dress,Zara,33,4.74,Red,L,Women's Fashion
884
+ 1,844,Sweater,Zara,11,2.89,Blue,M,Kids' Fashion
885
+ 34,788,Jeans,Adidas,74,3.14,Red,S,Kids' Fashion
886
+ 93,356,Dress,Zara,68,4.33,Black,S,Kids' Fashion
887
+ 11,678,Dress,H&M,85,2.86,Black,L,Men's Fashion
888
+ 22,650,Dress,Gucci,99,4.31,Green,M,Women's Fashion
889
+ 36,10,T-shirt,Zara,55,4.09,White,XL,Kids' Fashion
890
+ 5,263,Jeans,Zara,71,4.05,Yellow,XL,Men's Fashion
891
+ 11,690,Jeans,H&M,34,2.15,White,L,Kids' Fashion
892
+ 46,431,Jeans,H&M,18,2.62,Green,S,Kids' Fashion
893
+ 22,415,Jeans,H&M,41,2.73,Yellow,L,Kids' Fashion
894
+ 31,560,Dress,Adidas,99,1.0,Red,XL,Women's Fashion
895
+ 37,309,Jeans,Gucci,17,3.75,Black,S,Kids' Fashion
896
+ 90,384,Sweater,H&M,84,1.46,Black,L,Kids' Fashion
897
+ 28,612,Shoes,Zara,27,2.27,Blue,XL,Men's Fashion
898
+ 30,622,T-shirt,Nike,45,3.78,Red,XL,Men's Fashion
899
+ 98,898,Dress,Nike,44,4.21,Green,M,Women's Fashion
classification/unipredict/bhanupratapbiswas-ipl-dataset-2008-2016/test.csv ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ season,city,team1,team2,toss_winner,toss_decision,result,dl_applied,win_by_runs,win_by_wickets,player_of_match,venue,umpire1,umpire2,umpire3,winner
2
+ 2016,Visakhapatnam,Kings XI Punjab,Rising Pune Supergiants,Kings XI Punjab,bat,normal,0,0,4,MS Dhoni,Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium,HDPK Dharmasena,Nitin Menon,,Rising Pune Supergiants
3
+ 2013,Jaipur,Kings XI Punjab,Rajasthan Royals,Rajasthan Royals,field,normal,0,0,6,JP Faulkner,Sawai Mansingh Stadium,Aleem Dar,C Shamshuddin,,Rajasthan Royals
4
+ 2016,Bangalore,Royal Challengers Bangalore,Gujarat Lions,Gujarat Lions,field,normal,0,144,0,AB de Villiers,M Chinnaswamy Stadium,AY Dandekar,VK Sharma,,Royal Challengers Bangalore
5
+ 2012,Pune,Pune Warriors,Delhi Daredevils,Pune Warriors,bat,normal,0,0,8,V Sehwag,Subrata Roy Sahara Stadium,S Ravi,RJ Tucker,,Delhi Daredevils
6
+ 2014,Hyderabad,Royal Challengers Bangalore,Sunrisers Hyderabad,Royal Challengers Bangalore,bat,normal,0,0,7,DA Warner,"Rajiv Gandhi International Stadium, Uppal",AK Chaudhary,NJ Llong,,Sunrisers Hyderabad
7
+ 2011,Chennai,Chennai Super Kings,Kochi Tuskers Kerala,Chennai Super Kings,bat,normal,0,11,0,WP Saha,"MA Chidambaram Stadium, Chepauk",HDPK Dharmasena,RE Koertzen,,Chennai Super Kings
8
+ 2014,Bangalore,Sunrisers Hyderabad,Royal Challengers Bangalore,Royal Challengers Bangalore,field,normal,0,0,4,AB de Villiers,M Chinnaswamy Stadium,HDPK Dharmasena,VA Kulkarni,,Royal Challengers Bangalore
9
+ 2016,Visakhapatnam,Mumbai Indians,Delhi Daredevils,Delhi Daredevils,field,normal,0,80,0,KH Pandya,Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium,Nitin Menon,CK Nandan,,Mumbai Indians
10
+ 2009,Durban,Delhi Daredevils,Chennai Super Kings,Delhi Daredevils,bat,normal,0,9,0,AB de Villiers,Kingsmead,BR Doctrove,SJA Taufel,,Delhi Daredevils
11
+ 2013,Mumbai,Mumbai Indians,Kolkata Knight Riders,Mumbai Indians,bat,normal,0,65,0,SR Tendulkar,Wankhede Stadium,HDPK Dharmasena,S Ravi,,Mumbai Indians
12
+ 2014,Abu Dhabi,Chennai Super Kings,Delhi Daredevils,Chennai Super Kings,bat,normal,0,93,0,SK Raina,Sheikh Zayed Stadium,RK Illingworth,C Shamshuddin,,Chennai Super Kings
13
+ 2009,Port Elizabeth,Kolkata Knight Riders,Kings XI Punjab,Kolkata Knight Riders,bat,normal,0,0,6,DPMD Jayawardene,St George's Park,S Asnani,MR Benson,,Kings XI Punjab
14
+ 2012,Kolkata,Kolkata Knight Riders,Royal Challengers Bangalore,Kolkata Knight Riders,bat,normal,0,47,0,G Gambhir,Eden Gardens,Asad Rauf,BR Doctrove,,Kolkata Knight Riders
15
+ 2010,Mumbai,Deccan Chargers,Royal Challengers Bangalore,Deccan Chargers,bat,normal,0,0,9,A Kumble,Dr DY Patil Sports Academy,RE Koertzen,SJA Taufel,,Royal Challengers Bangalore
16
+ 2015,Mumbai,Delhi Daredevils,Mumbai Indians,Delhi Daredevils,bat,normal,0,0,5,Harbhajan Singh,Wankhede Stadium,HDPK Dharmasena,CB Gaffaney,,Mumbai Indians
17
+ 2014,Bangalore,Kings XI Punjab,Royal Challengers Bangalore,Royal Challengers Bangalore,field,normal,0,32,0,Sandeep Sharma,M Chinnaswamy Stadium,S Ravi,K Srinath,,Kings XI Punjab
18
+ 2008,Bangalore,Royal Challengers Bangalore,Rajasthan Royals,Rajasthan Royals,field,normal,0,0,7,SR Watson,M Chinnaswamy Stadium,MR Benson,IL Howell,,Rajasthan Royals
19
+ 2013,Delhi,Mumbai Indians,Delhi Daredevils,Mumbai Indians,bat,normal,0,0,9,V Sehwag,Feroz Shah Kotla,HDPK Dharmasena,S Ravi,,Delhi Daredevils
20
+ 2014,Bangalore,Royal Challengers Bangalore,Rajasthan Royals,Royal Challengers Bangalore,bat,normal,0,0,5,JP Faulkner,M Chinnaswamy Stadium,S Ravi,RJ Tucker,,Rajasthan Royals
21
+ 2016,Pune,Rising Pune Supergiants,Gujarat Lions,Gujarat Lions,field,normal,0,0,3,DR Smith,Maharashtra Cricket Association Stadium,CB Gaffaney,BNJ Oxenford,,Gujarat Lions
22
+ 2016,Kolkata,Kolkata Knight Riders,Royal Challengers Bangalore,Royal Challengers Bangalore,field,normal,0,0,9,V Kohli,Eden Gardens,CB Gaffaney,A Nand Kishore,,Royal Challengers Bangalore
23
+ 2012,Bangalore,Rajasthan Royals,Royal Challengers Bangalore,Rajasthan Royals,bat,normal,0,59,0,AM Rahane,M Chinnaswamy Stadium,JD Cloete,RJ Tucker,,Rajasthan Royals
24
+ 2012,Mumbai,Kolkata Knight Riders,Mumbai Indians,Mumbai Indians,field,normal,0,32,0,SP Narine,Wankhede Stadium,S Das,BR Doctrove,,Kolkata Knight Riders
25
+ 2011,Mumbai,Kings XI Punjab,Pune Warriors,Kings XI Punjab,bat,normal,0,0,7,SB Wagh,Dr DY Patil Sports Academy,BR Doctrove,PR Reiffel,,Pune Warriors
26
+ 2008,Kolkata,Kolkata Knight Riders,Rajasthan Royals,Rajasthan Royals,field,normal,0,0,6,YK Pathan,Eden Gardens,BG Jerling,RE Koertzen,,Rajasthan Royals
27
+ 2013,Bangalore,Royal Challengers Bangalore,Pune Warriors,Pune Warriors,field,normal,0,130,0,CH Gayle,M Chinnaswamy Stadium,Aleem Dar,C Shamshuddin,,Royal Challengers Bangalore
28
+ 2016,Kolkata,Delhi Daredevils,Kolkata Knight Riders,Kolkata Knight Riders,field,normal,0,0,9,AD Russell,Eden Gardens,S Ravi,C Shamshuddin,,Kolkata Knight Riders
29
+ 2013,Hyderabad,Kolkata Knight Riders,Sunrisers Hyderabad,Kolkata Knight Riders,bat,normal,0,0,5,PA Patel,"Rajiv Gandhi International Stadium, Uppal",Asad Rauf,S Asnani,,Sunrisers Hyderabad
30
+ 2012,Delhi,Delhi Daredevils,Kolkata Knight Riders,Delhi Daredevils,bat,normal,0,0,6,JH Kallis,Feroz Shah Kotla,JD Cloete,S Ravi,,Kolkata Knight Riders
31
+ 2008,Jaipur,Delhi Daredevils,Rajasthan Royals,Rajasthan Royals,field,normal,0,0,3,SR Watson,Sawai Mansingh Stadium,SJ Davis,RE Koertzen,,Rajasthan Royals
32
+ 2012,Jaipur,Rajasthan Royals,Delhi Daredevils,Rajasthan Royals,bat,normal,0,0,6,P Negi,Sawai Mansingh Stadium,JD Cloete,SJA Taufel,,Delhi Daredevils
33
+ 2008,Chandigarh,Royal Challengers Bangalore,Kings XI Punjab,Royal Challengers Bangalore,bat,normal,0,0,9,SE Marsh,"Punjab Cricket Association Stadium, Mohali",BR Doctrove,I Shivram,,Kings XI Punjab
34
+ 2015,Mumbai,Mumbai Indians,Kolkata Knight Riders,Kolkata Knight Riders,field,normal,0,5,0,HH Pandya,Wankhede Stadium,RK Illingworth,VA Kulkarni,,Mumbai Indians
35
+ 2010,Kolkata,Kolkata Knight Riders,Delhi Daredevils,Kolkata Knight Riders,bat,normal,0,14,0,SC Ganguly,Eden Gardens,BG Jerling,RE Koertzen,,Kolkata Knight Riders
36
+ 2009,Centurion,Delhi Daredevils,Deccan Chargers,Deccan Chargers,field,normal,0,0,6,AC Gilchrist,SuperSport Park,BR Doctrove,DJ Harper,,Deccan Chargers
37
+ 2009,Johannesburg,Chennai Super Kings,Delhi Daredevils,Delhi Daredevils,field,normal,0,18,0,SB Jakati,New Wanderers Stadium,DJ Harper,RE Koertzen,,Chennai Super Kings
38
+ 2011,Mumbai,Pune Warriors,Delhi Daredevils,Delhi Daredevils,field,normal,0,0,3,Yuvraj Singh,Dr DY Patil Sports Academy,Asad Rauf,AM Saheba,,Delhi Daredevils
39
+ 2012,Chennai,Chennai Super Kings,Mumbai Indians,Mumbai Indians,field,normal,0,0,8,RE Levi,"MA Chidambaram Stadium, Chepauk",JD Cloete,SJA Taufel,,Mumbai Indians
40
+ 2015,Hyderabad,Sunrisers Hyderabad,Royal Challengers Bangalore,Sunrisers Hyderabad,bat,normal,1,0,6,V Kohli,"Rajiv Gandhi International Stadium, Uppal",AK Chaudhary,HDPK Dharmasena,,Royal Challengers Bangalore
41
+ 2011,Kochi,Chennai Super Kings,Kochi Tuskers Kerala,Kochi Tuskers Kerala,field,normal,1,0,7,BB McCullum,Nehru Stadium,K Hariharan,AL Hill,,Kochi Tuskers Kerala
42
+ 2009,Johannesburg,Mumbai Indians,Royal Challengers Bangalore,Mumbai Indians,bat,normal,0,0,9,JH Kallis,New Wanderers Stadium,RE Koertzen,TH Wijewardene,,Royal Challengers Bangalore
43
+ 2015,Mumbai,Rajasthan Royals,Delhi Daredevils,Delhi Daredevils,field,normal,0,14,0,AM Rahane,Brabourne Stadium,HDPK Dharmasena,CB Gaffaney,,Rajasthan Royals
44
+ 2013,Chennai,Mumbai Indians,Chennai Super Kings,Mumbai Indians,bat,normal,0,9,0,KA Pollard,"MA Chidambaram Stadium, Chepauk",M Erasmus,VA Kulkarni,,Mumbai Indians
45
+ 2016,Rajkot,Gujarat Lions,Sunrisers Hyderabad,Sunrisers Hyderabad,field,normal,0,0,10,B Kumar,Saurashtra Cricket Association Stadium,K Bharatan,HDPK Dharmasena,,Sunrisers Hyderabad
46
+ 2012,Jaipur,Rajasthan Royals,Chennai Super Kings,Chennai Super Kings,field,normal,0,0,4,BW Hilfenhaus,Sawai Mansingh Stadium,BNJ Oxenford,C Shamshuddin,,Chennai Super Kings
47
+ 2008,Kolkata,Kolkata Knight Riders,Delhi Daredevils,Kolkata Knight Riders,bat,normal,0,23,0,Shoaib Akhtar,Eden Gardens,Asad Rauf,IL Howell,,Kolkata Knight Riders
48
+ 2015,Chennai,Chennai Super Kings,Kolkata Knight Riders,Kolkata Knight Riders,field,normal,0,2,0,DJ Bravo,"MA Chidambaram Stadium, Chepauk",RM Deshpande,VA Kulkarni,,Chennai Super Kings
49
+ 2010,Mumbai,Chennai Super Kings,Deccan Chargers,Chennai Super Kings,bat,normal,0,38,0,DE Bollinger,Dr DY Patil Sports Academy,BR Doctrove,RB Tiffin,,Chennai Super Kings
50
+ 2010,Kolkata,Rajasthan Royals,Kolkata Knight Riders,Rajasthan Royals,bat,normal,0,0,8,JD Unadkat,Eden Gardens,BG Jerling,RB Tiffin,,Kolkata Knight Riders
51
+ 2010,Nagpur,Deccan Chargers,Royal Challengers Bangalore,Royal Challengers Bangalore,field,normal,0,13,0,Harmeet Singh,"Vidarbha Cricket Association Stadium, Jamtha",RE Koertzen,RB Tiffin,,Deccan Chargers
52
+ 2012,Bangalore,Royal Challengers Bangalore,Kings XI Punjab,Kings XI Punjab,field,normal,0,0,4,Azhar Mahmood,M Chinnaswamy Stadium,BF Bowden,C Shamshuddin,,Kings XI Punjab
53
+ 2011,Chandigarh,Kings XI Punjab,Rajasthan Royals,Rajasthan Royals,field,normal,0,48,0,SE Marsh,"Punjab Cricket Association Stadium, Mohali",S Asnani,PR Reiffel,,Kings XI Punjab
54
+ 2015,Chennai,Chennai Super Kings,Kings XI Punjab,Chennai Super Kings,bat,normal,0,97,0,BB McCullum,"MA Chidambaram Stadium, Chepauk",JD Cloete,C Shamshuddin,,Chennai Super Kings
55
+ 2011,Chandigarh,Kings XI Punjab,Mumbai Indians,Mumbai Indians,field,normal,0,76,0,BA Bhatt,"Punjab Cricket Association Stadium, Mohali",SK Tarapore,RJ Tucker,,Kings XI Punjab
56
+ 2011,Delhi,Deccan Chargers,Delhi Daredevils,Deccan Chargers,bat,normal,0,16,0,S Sohal,Feroz Shah Kotla,PR Reiffel,RJ Tucker,,Deccan Chargers
57
+ 2014,Mumbai,Mumbai Indians,Royal Challengers Bangalore,Royal Challengers Bangalore,field,normal,0,19,0,RG Sharma,Wankhede Stadium,S Ravi,K Srinath,,Mumbai Indians
58
+ 2013,Pune,Sunrisers Hyderabad,Pune Warriors,Pune Warriors,field,normal,0,11,0,A Mishra,Subrata Roy Sahara Stadium,Asad Rauf,AK Chaudhary,,Sunrisers Hyderabad
59
+ 2011,Kolkata,Kolkata Knight Riders,Mumbai Indians,Mumbai Indians,field,normal,0,0,5,JEC Franklin,Eden Gardens,SK Tarapore,SJA Taufel,,Mumbai Indians
60
+ 2016,Chandigarh,Rising Pune Supergiants,Kings XI Punjab,Rising Pune Supergiants,bat,normal,0,0,6,M Vohra,"Punjab Cricket Association IS Bindra Stadium, Mohali",S Ravi,C Shamshuddin,,Kings XI Punjab
61
+ 2011,Delhi,Delhi Daredevils,Pune Warriors,Delhi Daredevils,bat,no result,0,0,0,,Feroz Shah Kotla,SS Hazare,RJ Tucker,,nan
62
+ 2014,Bangalore,Royal Challengers Bangalore,Chennai Super Kings,Chennai Super Kings,field,normal,0,0,8,MS Dhoni,M Chinnaswamy Stadium,AK Chaudhary,NJ Llong,,Chennai Super Kings
63
+ 2008,Delhi,Mumbai Indians,Delhi Daredevils,Delhi Daredevils,field,normal,0,0,5,KD Karthik,Feroz Shah Kotla,BF Bowden,K Hariharan,,Delhi Daredevils
64
+ 2012,Pune,Chennai Super Kings,Pune Warriors,Chennai Super Kings,bat,normal,0,0,7,JD Ryder,Subrata Roy Sahara Stadium,Aleem Dar,BNJ Oxenford,,Pune Warriors
classification/unipredict/bhanupratapbiswas-ipl-dataset-2008-2016/test.jsonl ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The season is 2016. The city is Visakhapatnam. The team1 is Kings XI Punjab. The team2 is Rising Pune Supergiants. The toss_winner is Kings XI Punjab. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 4. The player_of_match is MS Dhoni. The venue is Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium. The umpire1 is HDPK Dharmasena. The umpire2 is Nitin Menon. The umpire3 is unknown.", "label": "Rising Pune Supergiants", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The season is 2013. The city is Jaipur. The team1 is Kings XI Punjab. The team2 is Rajasthan Royals. The toss_winner is Rajasthan Royals. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 6. The player_of_match is JP Faulkner. The venue is Sawai Mansingh Stadium. The umpire1 is Aleem Dar. The umpire2 is C Shamshuddin. The umpire3 is unknown.", "label": "Rajasthan Royals", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The season is 2016. The city is Bangalore. The team1 is Royal Challengers Bangalore. The team2 is Gujarat Lions. The toss_winner is Gujarat Lions. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 144. The win_by_wickets is 0. The player_of_match is AB de Villiers. The venue is M Chinnaswamy Stadium. The umpire1 is AY Dandekar. The umpire2 is VK Sharma. The umpire3 is unknown.", "label": "Royal Challengers Bangalore", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The season is 2012. The city is Pune. The team1 is Pune Warriors. The team2 is Delhi Daredevils. The toss_winner is Pune Warriors. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 8. The player_of_match is V Sehwag. The venue is Subrata Roy Sahara Stadium. The umpire1 is S Ravi. The umpire2 is RJ Tucker. The umpire3 is unknown.", "label": "Delhi Daredevils", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The season is 2014. The city is Hyderabad. The team1 is Royal Challengers Bangalore. The team2 is Sunrisers Hyderabad. The toss_winner is Royal Challengers Bangalore. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 7. The player_of_match is DA Warner. The venue is Rajiv Gandhi International Stadium, Uppal. The umpire1 is AK Chaudhary. The umpire2 is NJ Llong. The umpire3 is unknown.", "label": "Sunrisers Hyderabad", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The season is 2011. The city is Chennai. The team1 is Chennai Super Kings. The team2 is Kochi Tuskers Kerala. The toss_winner is Chennai Super Kings. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 11. The win_by_wickets is 0. The player_of_match is WP Saha. The venue is MA Chidambaram Stadium, Chepauk. The umpire1 is HDPK Dharmasena. The umpire2 is RE Koertzen. The umpire3 is unknown.", "label": "Chennai Super Kings", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The season is 2014. The city is Bangalore. The team1 is Sunrisers Hyderabad. The team2 is Royal Challengers Bangalore. The toss_winner is Royal Challengers Bangalore. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 4. The player_of_match is AB de Villiers. The venue is M Chinnaswamy Stadium. The umpire1 is HDPK Dharmasena. The umpire2 is VA Kulkarni. The umpire3 is unknown.", "label": "Royal Challengers Bangalore", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The season is 2016. The city is Visakhapatnam. The team1 is Mumbai Indians. The team2 is Delhi Daredevils. The toss_winner is Delhi Daredevils. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 80. The win_by_wickets is 0. The player_of_match is KH Pandya. The venue is Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium. The umpire1 is Nitin Menon. The umpire2 is CK Nandan. The umpire3 is unknown.", "label": "Mumbai Indians", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The season is 2009. The city is Durban. The team1 is Delhi Daredevils. The team2 is Chennai Super Kings. The toss_winner is Delhi Daredevils. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 9. The win_by_wickets is 0. The player_of_match is AB de Villiers. The venue is Kingsmead. The umpire1 is BR Doctrove. The umpire2 is SJA Taufel. The umpire3 is unknown.", "label": "Delhi Daredevils", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The season is 2013. The city is Mumbai. The team1 is Mumbai Indians. The team2 is Kolkata Knight Riders. The toss_winner is Mumbai Indians. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 65. The win_by_wickets is 0. The player_of_match is SR Tendulkar. The venue is Wankhede Stadium. The umpire1 is HDPK Dharmasena. The umpire2 is S Ravi. The umpire3 is unknown.", "label": "Mumbai Indians", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The season is 2014. The city is Abu Dhabi. The team1 is Chennai Super Kings. The team2 is Delhi Daredevils. The toss_winner is Chennai Super Kings. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 93. The win_by_wickets is 0. The player_of_match is SK Raina. The venue is Sheikh Zayed Stadium. The umpire1 is RK Illingworth. The umpire2 is C Shamshuddin. The umpire3 is unknown.", "label": "Chennai Super Kings", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The season is 2009. The city is Port Elizabeth. The team1 is Kolkata Knight Riders. The team2 is Kings XI Punjab. The toss_winner is Kolkata Knight Riders. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 6. The player_of_match is DPMD Jayawardene. The venue is St George's Park. The umpire1 is S Asnani. The umpire2 is MR Benson. The umpire3 is unknown.", "label": "Kings XI Punjab", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The season is 2012. The city is Kolkata. The team1 is Kolkata Knight Riders. The team2 is Royal Challengers Bangalore. The toss_winner is Kolkata Knight Riders. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 47. The win_by_wickets is 0. The player_of_match is G Gambhir. The venue is Eden Gardens. The umpire1 is Asad Rauf. The umpire2 is BR Doctrove. The umpire3 is unknown.", "label": "Kolkata Knight Riders", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The season is 2010. The city is Mumbai. The team1 is Deccan Chargers. The team2 is Royal Challengers Bangalore. The toss_winner is Deccan Chargers. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 9. The player_of_match is A Kumble. The venue is Dr DY Patil Sports Academy. The umpire1 is RE Koertzen. The umpire2 is SJA Taufel. The umpire3 is unknown.", "label": "Royal Challengers Bangalore", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The season is 2015. The city is Mumbai. The team1 is Delhi Daredevils. The team2 is Mumbai Indians. The toss_winner is Delhi Daredevils. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 5. The player_of_match is Harbhajan Singh. The venue is Wankhede Stadium. The umpire1 is HDPK Dharmasena. The umpire2 is CB Gaffaney. The umpire3 is unknown.", "label": "Mumbai Indians", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The season is 2014. The city is Bangalore. The team1 is Kings XI Punjab. The team2 is Royal Challengers Bangalore. The toss_winner is Royal Challengers Bangalore. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 32. The win_by_wickets is 0. The player_of_match is Sandeep Sharma. The venue is M Chinnaswamy Stadium. The umpire1 is S Ravi. The umpire2 is K Srinath. The umpire3 is unknown.", "label": "Kings XI Punjab", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The season is 2008. The city is Bangalore. The team1 is Royal Challengers Bangalore. The team2 is Rajasthan Royals. The toss_winner is Rajasthan Royals. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 7. The player_of_match is SR Watson. The venue is M Chinnaswamy Stadium. The umpire1 is MR Benson. The umpire2 is IL Howell. The umpire3 is unknown.", "label": "Rajasthan Royals", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The season is 2013. The city is Delhi. The team1 is Mumbai Indians. The team2 is Delhi Daredevils. The toss_winner is Mumbai Indians. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 9. The player_of_match is V Sehwag. The venue is Feroz Shah Kotla. The umpire1 is HDPK Dharmasena. The umpire2 is S Ravi. The umpire3 is unknown.", "label": "Delhi Daredevils", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The season is 2014. The city is Bangalore. The team1 is Royal Challengers Bangalore. The team2 is Rajasthan Royals. The toss_winner is Royal Challengers Bangalore. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 5. The player_of_match is JP Faulkner. The venue is M Chinnaswamy Stadium. The umpire1 is S Ravi. The umpire2 is RJ Tucker. The umpire3 is unknown.", "label": "Rajasthan Royals", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The season is 2016. The city is Pune. The team1 is Rising Pune Supergiants. The team2 is Gujarat Lions. The toss_winner is Gujarat Lions. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 3. The player_of_match is DR Smith. The venue is Maharashtra Cricket Association Stadium. The umpire1 is CB Gaffaney. The umpire2 is BNJ Oxenford. The umpire3 is unknown.", "label": "Gujarat Lions", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The season is 2016. The city is Kolkata. The team1 is Kolkata Knight Riders. The team2 is Royal Challengers Bangalore. The toss_winner is Royal Challengers Bangalore. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 9. The player_of_match is V Kohli. The venue is Eden Gardens. The umpire1 is CB Gaffaney. The umpire2 is A Nand Kishore. The umpire3 is unknown.", "label": "Royal Challengers Bangalore", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The season is 2012. The city is Bangalore. The team1 is Rajasthan Royals. The team2 is Royal Challengers Bangalore. The toss_winner is Rajasthan Royals. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 59. The win_by_wickets is 0. The player_of_match is AM Rahane. The venue is M Chinnaswamy Stadium. The umpire1 is JD Cloete. The umpire2 is RJ Tucker. The umpire3 is unknown.", "label": "Rajasthan Royals", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The season is 2012. The city is Mumbai. The team1 is Kolkata Knight Riders. The team2 is Mumbai Indians. The toss_winner is Mumbai Indians. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 32. The win_by_wickets is 0. The player_of_match is SP Narine. The venue is Wankhede Stadium. The umpire1 is S Das. The umpire2 is BR Doctrove. The umpire3 is unknown.", "label": "Kolkata Knight Riders", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The season is 2011. The city is Mumbai. The team1 is Kings XI Punjab. The team2 is Pune Warriors. The toss_winner is Kings XI Punjab. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 7. The player_of_match is SB Wagh. The venue is Dr DY Patil Sports Academy. The umpire1 is BR Doctrove. The umpire2 is PR Reiffel. The umpire3 is unknown.", "label": "Pune Warriors", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The season is 2008. The city is Kolkata. The team1 is Kolkata Knight Riders. The team2 is Rajasthan Royals. The toss_winner is Rajasthan Royals. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 6. The player_of_match is YK Pathan. The venue is Eden Gardens. The umpire1 is BG Jerling. The umpire2 is RE Koertzen. The umpire3 is unknown.", "label": "Rajasthan Royals", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The season is 2013. The city is Bangalore. The team1 is Royal Challengers Bangalore. The team2 is Pune Warriors. The toss_winner is Pune Warriors. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 130. The win_by_wickets is 0. The player_of_match is CH Gayle. The venue is M Chinnaswamy Stadium. The umpire1 is Aleem Dar. The umpire2 is C Shamshuddin. The umpire3 is unknown.", "label": "Royal Challengers Bangalore", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The season is 2016. The city is Kolkata. The team1 is Delhi Daredevils. The team2 is Kolkata Knight Riders. The toss_winner is Kolkata Knight Riders. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 9. The player_of_match is AD Russell. The venue is Eden Gardens. The umpire1 is S Ravi. The umpire2 is C Shamshuddin. The umpire3 is unknown.", "label": "Kolkata Knight Riders", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The season is 2013. The city is Hyderabad. The team1 is Kolkata Knight Riders. The team2 is Sunrisers Hyderabad. The toss_winner is Kolkata Knight Riders. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 5. The player_of_match is PA Patel. The venue is Rajiv Gandhi International Stadium, Uppal. The umpire1 is Asad Rauf. The umpire2 is S Asnani. The umpire3 is unknown.", "label": "Sunrisers Hyderabad", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The season is 2012. The city is Delhi. The team1 is Delhi Daredevils. The team2 is Kolkata Knight Riders. The toss_winner is Delhi Daredevils. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 6. The player_of_match is JH Kallis. The venue is Feroz Shah Kotla. The umpire1 is JD Cloete. The umpire2 is S Ravi. The umpire3 is unknown.", "label": "Kolkata Knight Riders", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The season is 2008. The city is Jaipur. The team1 is Delhi Daredevils. The team2 is Rajasthan Royals. The toss_winner is Rajasthan Royals. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 3. The player_of_match is SR Watson. The venue is Sawai Mansingh Stadium. The umpire1 is SJ Davis. The umpire2 is RE Koertzen. The umpire3 is unknown.", "label": "Rajasthan Royals", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The season is 2012. The city is Jaipur. The team1 is Rajasthan Royals. The team2 is Delhi Daredevils. The toss_winner is Rajasthan Royals. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 6. The player_of_match is P Negi. The venue is Sawai Mansingh Stadium. The umpire1 is JD Cloete. The umpire2 is SJA Taufel. The umpire3 is unknown.", "label": "Delhi Daredevils", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The season is 2008. The city is Chandigarh. The team1 is Royal Challengers Bangalore. The team2 is Kings XI Punjab. The toss_winner is Royal Challengers Bangalore. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 9. The player_of_match is SE Marsh. The venue is Punjab Cricket Association Stadium, Mohali. The umpire1 is BR Doctrove. The umpire2 is I Shivram. The umpire3 is unknown.", "label": "Kings XI Punjab", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The season is 2015. The city is Mumbai. The team1 is Mumbai Indians. The team2 is Kolkata Knight Riders. The toss_winner is Kolkata Knight Riders. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 5. The win_by_wickets is 0. The player_of_match is HH Pandya. The venue is Wankhede Stadium. The umpire1 is RK Illingworth. The umpire2 is VA Kulkarni. The umpire3 is unknown.", "label": "Mumbai Indians", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The season is 2010. The city is Kolkata. The team1 is Kolkata Knight Riders. The team2 is Delhi Daredevils. The toss_winner is Kolkata Knight Riders. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 14. The win_by_wickets is 0. The player_of_match is SC Ganguly. The venue is Eden Gardens. The umpire1 is BG Jerling. The umpire2 is RE Koertzen. The umpire3 is unknown.", "label": "Kolkata Knight Riders", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The season is 2009. The city is Centurion. The team1 is Delhi Daredevils. The team2 is Deccan Chargers. The toss_winner is Deccan Chargers. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 6. The player_of_match is AC Gilchrist. The venue is SuperSport Park. The umpire1 is BR Doctrove. The umpire2 is DJ Harper. The umpire3 is unknown.", "label": "Deccan Chargers", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The season is 2009. The city is Johannesburg. The team1 is Chennai Super Kings. The team2 is Delhi Daredevils. The toss_winner is Delhi Daredevils. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 18. The win_by_wickets is 0. The player_of_match is SB Jakati. The venue is New Wanderers Stadium. The umpire1 is DJ Harper. The umpire2 is RE Koertzen. The umpire3 is unknown.", "label": "Chennai Super Kings", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The season is 2011. The city is Mumbai. The team1 is Pune Warriors. The team2 is Delhi Daredevils. The toss_winner is Delhi Daredevils. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 3. The player_of_match is Yuvraj Singh. The venue is Dr DY Patil Sports Academy. The umpire1 is Asad Rauf. The umpire2 is AM Saheba. The umpire3 is unknown.", "label": "Delhi Daredevils", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The season is 2012. The city is Chennai. The team1 is Chennai Super Kings. The team2 is Mumbai Indians. The toss_winner is Mumbai Indians. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 8. The player_of_match is RE Levi. The venue is MA Chidambaram Stadium, Chepauk. The umpire1 is JD Cloete. The umpire2 is SJA Taufel. The umpire3 is unknown.", "label": "Mumbai Indians", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The season is 2015. The city is Hyderabad. The team1 is Sunrisers Hyderabad. The team2 is Royal Challengers Bangalore. The toss_winner is Sunrisers Hyderabad. The toss_decision is bat. The result is normal. The dl_applied is 1. The win_by_runs is 0. The win_by_wickets is 6. The player_of_match is V Kohli. The venue is Rajiv Gandhi International Stadium, Uppal. The umpire1 is AK Chaudhary. The umpire2 is HDPK Dharmasena. The umpire3 is unknown.", "label": "Royal Challengers Bangalore", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The season is 2011. The city is Kochi. The team1 is Chennai Super Kings. The team2 is Kochi Tuskers Kerala. The toss_winner is Kochi Tuskers Kerala. The toss_decision is field. The result is normal. The dl_applied is 1. The win_by_runs is 0. The win_by_wickets is 7. The player_of_match is BB McCullum. The venue is Nehru Stadium. The umpire1 is K Hariharan. The umpire2 is AL Hill. The umpire3 is unknown.", "label": "Kochi Tuskers Kerala", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The season is 2009. The city is Johannesburg. The team1 is Mumbai Indians. The team2 is Royal Challengers Bangalore. The toss_winner is Mumbai Indians. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 9. The player_of_match is JH Kallis. The venue is New Wanderers Stadium. The umpire1 is RE Koertzen. The umpire2 is TH Wijewardene. The umpire3 is unknown.", "label": "Royal Challengers Bangalore", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The season is 2015. The city is Mumbai. The team1 is Rajasthan Royals. The team2 is Delhi Daredevils. The toss_winner is Delhi Daredevils. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 14. The win_by_wickets is 0. The player_of_match is AM Rahane. The venue is Brabourne Stadium. The umpire1 is HDPK Dharmasena. The umpire2 is CB Gaffaney. The umpire3 is unknown.", "label": "Rajasthan Royals", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The season is 2013. The city is Chennai. The team1 is Mumbai Indians. The team2 is Chennai Super Kings. The toss_winner is Mumbai Indians. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 9. The win_by_wickets is 0. The player_of_match is KA Pollard. The venue is MA Chidambaram Stadium, Chepauk. The umpire1 is M Erasmus. The umpire2 is VA Kulkarni. The umpire3 is unknown.", "label": "Mumbai Indians", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The season is 2016. The city is Rajkot. The team1 is Gujarat Lions. The team2 is Sunrisers Hyderabad. The toss_winner is Sunrisers Hyderabad. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 10. The player_of_match is B Kumar. The venue is Saurashtra Cricket Association Stadium. The umpire1 is K Bharatan. The umpire2 is HDPK Dharmasena. The umpire3 is unknown.", "label": "Sunrisers Hyderabad", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The season is 2012. The city is Jaipur. The team1 is Rajasthan Royals. The team2 is Chennai Super Kings. The toss_winner is Chennai Super Kings. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 4. The player_of_match is BW Hilfenhaus. The venue is Sawai Mansingh Stadium. The umpire1 is BNJ Oxenford. The umpire2 is C Shamshuddin. The umpire3 is unknown.", "label": "Chennai Super Kings", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The season is 2008. The city is Kolkata. The team1 is Kolkata Knight Riders. The team2 is Delhi Daredevils. The toss_winner is Kolkata Knight Riders. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 23. The win_by_wickets is 0. The player_of_match is Shoaib Akhtar. The venue is Eden Gardens. The umpire1 is Asad Rauf. The umpire2 is IL Howell. The umpire3 is unknown.", "label": "Kolkata Knight Riders", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The season is 2015. The city is Chennai. The team1 is Chennai Super Kings. The team2 is Kolkata Knight Riders. The toss_winner is Kolkata Knight Riders. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 2. The win_by_wickets is 0. The player_of_match is DJ Bravo. The venue is MA Chidambaram Stadium, Chepauk. The umpire1 is RM Deshpande. The umpire2 is VA Kulkarni. The umpire3 is unknown.", "label": "Chennai Super Kings", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The season is 2010. The city is Mumbai. The team1 is Chennai Super Kings. The team2 is Deccan Chargers. The toss_winner is Chennai Super Kings. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 38. The win_by_wickets is 0. The player_of_match is DE Bollinger. The venue is Dr DY Patil Sports Academy. The umpire1 is BR Doctrove. The umpire2 is RB Tiffin. The umpire3 is unknown.", "label": "Chennai Super Kings", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The season is 2010. The city is Kolkata. The team1 is Rajasthan Royals. The team2 is Kolkata Knight Riders. The toss_winner is Rajasthan Royals. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 8. The player_of_match is JD Unadkat. The venue is Eden Gardens. The umpire1 is BG Jerling. The umpire2 is RB Tiffin. The umpire3 is unknown.", "label": "Kolkata Knight Riders", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The season is 2010. The city is Nagpur. The team1 is Deccan Chargers. The team2 is Royal Challengers Bangalore. The toss_winner is Royal Challengers Bangalore. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 13. The win_by_wickets is 0. The player_of_match is Harmeet Singh. The venue is Vidarbha Cricket Association Stadium, Jamtha. The umpire1 is RE Koertzen. The umpire2 is RB Tiffin. The umpire3 is unknown.", "label": "Deccan Chargers", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The season is 2012. The city is Bangalore. The team1 is Royal Challengers Bangalore. The team2 is Kings XI Punjab. The toss_winner is Kings XI Punjab. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 4. The player_of_match is Azhar Mahmood. The venue is M Chinnaswamy Stadium. The umpire1 is BF Bowden. The umpire2 is C Shamshuddin. The umpire3 is unknown.", "label": "Kings XI Punjab", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The season is 2011. The city is Chandigarh. The team1 is Kings XI Punjab. The team2 is Rajasthan Royals. The toss_winner is Rajasthan Royals. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 48. The win_by_wickets is 0. The player_of_match is SE Marsh. The venue is Punjab Cricket Association Stadium, Mohali. The umpire1 is S Asnani. The umpire2 is PR Reiffel. The umpire3 is unknown.", "label": "Kings XI Punjab", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The season is 2015. The city is Chennai. The team1 is Chennai Super Kings. The team2 is Kings XI Punjab. The toss_winner is Chennai Super Kings. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 97. The win_by_wickets is 0. The player_of_match is BB McCullum. The venue is MA Chidambaram Stadium, Chepauk. The umpire1 is JD Cloete. The umpire2 is C Shamshuddin. The umpire3 is unknown.", "label": "Chennai Super Kings", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The season is 2011. The city is Chandigarh. The team1 is Kings XI Punjab. The team2 is Mumbai Indians. The toss_winner is Mumbai Indians. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 76. The win_by_wickets is 0. The player_of_match is BA Bhatt. The venue is Punjab Cricket Association Stadium, Mohali. The umpire1 is SK Tarapore. The umpire2 is RJ Tucker. The umpire3 is unknown.", "label": "Kings XI Punjab", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The season is 2011. The city is Delhi. The team1 is Deccan Chargers. The team2 is Delhi Daredevils. The toss_winner is Deccan Chargers. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 16. The win_by_wickets is 0. The player_of_match is S Sohal. The venue is Feroz Shah Kotla. The umpire1 is PR Reiffel. The umpire2 is RJ Tucker. The umpire3 is unknown.", "label": "Deccan Chargers", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The season is 2014. The city is Mumbai. The team1 is Mumbai Indians. The team2 is Royal Challengers Bangalore. The toss_winner is Royal Challengers Bangalore. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 19. The win_by_wickets is 0. The player_of_match is RG Sharma. The venue is Wankhede Stadium. The umpire1 is S Ravi. The umpire2 is K Srinath. The umpire3 is unknown.", "label": "Mumbai Indians", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The season is 2013. The city is Pune. The team1 is Sunrisers Hyderabad. The team2 is Pune Warriors. The toss_winner is Pune Warriors. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 11. The win_by_wickets is 0. The player_of_match is A Mishra. The venue is Subrata Roy Sahara Stadium. The umpire1 is Asad Rauf. The umpire2 is AK Chaudhary. The umpire3 is unknown.", "label": "Sunrisers Hyderabad", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The season is 2011. The city is Kolkata. The team1 is Kolkata Knight Riders. The team2 is Mumbai Indians. The toss_winner is Mumbai Indians. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 5. The player_of_match is JEC Franklin. The venue is Eden Gardens. The umpire1 is SK Tarapore. The umpire2 is SJA Taufel. The umpire3 is unknown.", "label": "Mumbai Indians", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The season is 2016. The city is Chandigarh. The team1 is Rising Pune Supergiants. The team2 is Kings XI Punjab. The toss_winner is Rising Pune Supergiants. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 6. The player_of_match is M Vohra. The venue is Punjab Cricket Association IS Bindra Stadium, Mohali. The umpire1 is S Ravi. The umpire2 is C Shamshuddin. The umpire3 is unknown.", "label": "Kings XI Punjab", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The season is 2011. The city is Delhi. The team1 is Delhi Daredevils. The team2 is Pune Warriors. The toss_winner is Delhi Daredevils. The toss_decision is bat. The result is no result. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 0. The player_of_match is unknown. The venue is Feroz Shah Kotla. The umpire1 is SS Hazare. The umpire2 is RJ Tucker. The umpire3 is unknown.", "label": "nan", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The season is 2014. The city is Bangalore. The team1 is Royal Challengers Bangalore. The team2 is Chennai Super Kings. The toss_winner is Chennai Super Kings. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 8. The player_of_match is MS Dhoni. The venue is M Chinnaswamy Stadium. The umpire1 is AK Chaudhary. The umpire2 is NJ Llong. The umpire3 is unknown.", "label": "Chennai Super Kings", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The season is 2008. The city is Delhi. The team1 is Mumbai Indians. The team2 is Delhi Daredevils. The toss_winner is Delhi Daredevils. The toss_decision is field. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 5. The player_of_match is KD Karthik. The venue is Feroz Shah Kotla. The umpire1 is BF Bowden. The umpire2 is K Hariharan. The umpire3 is unknown.", "label": "Delhi Daredevils", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The season is 2012. The city is Pune. The team1 is Chennai Super Kings. The team2 is Pune Warriors. The toss_winner is Chennai Super Kings. The toss_decision is bat. The result is normal. The dl_applied is 0. The win_by_runs is 0. The win_by_wickets is 7. The player_of_match is JD Ryder. The venue is Subrata Roy Sahara Stadium. The umpire1 is Aleem Dar. The umpire2 is BNJ Oxenford. The umpire3 is unknown.", "label": "Pune Warriors", "dataset": "bhanupratapbiswas-ipl-dataset-2008-2016", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/bhanupratapbiswas-ipl-dataset-2008-2016/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/bhanupratapbiswas-world-top-billionaires/metadata.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "bhanupratapbiswas-world-top-billionaires",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Wealth Worth In Billions",
8
+ "label_values": [
9
+ "greater than 3.5",
10
+ "less than 1.4",
11
+ "between 2.0 and 3.5",
12
+ "between 1.4 and 2.0"
13
+ ],
14
+ "num_labels": 4,
15
+ "train_samples": 2350,
16
+ "test_samples": 264,
17
+ "train_label_distribution": {
18
+ "between 1.4 and 2.0": 523,
19
+ "less than 1.4": 579,
20
+ "between 2.0 and 3.5": 659,
21
+ "greater than 3.5": 589
22
+ },
23
+ "test_label_distribution": {
24
+ "less than 1.4": 65,
25
+ "between 2.0 and 3.5": 74,
26
+ "between 1.4 and 2.0": 59,
27
+ "greater than 3.5": 66
28
+ }
29
+ }
classification/unipredict/bhanupratapbiswas-world-top-billionaires/test.csv ADDED
@@ -0,0 +1,265 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Name,Rank,Year,Company Founded,Company Name,Company Relationship,Company Sector,Company Type,Demographics Age,Demographics Gender,Location Citizenship,Location Country Code,Location GDP,Location Region,Wealth Type,Wealth How Category,Wealth How From Emerging,Wealth How Industry,Wealth How Inherited,Wealth How Was Founder,Wealth How Was Political,Wealth Worth In Billions
2
+ Tadahiro Yoshida,307,1996,1934,YKK,relation,zippers,new,49,male,Japan,JPN,4710000000000,East Asia,inherited,Traded Sectors,True,Consumer,father,True,True,less than 1.4
3
+ Tadahiro Yoshida,209,2001,1934,YKK,relation,zippers,new,54,male,Japan,JPN,4160000000000,East Asia,inherited,Traded Sectors,True,Consumer,father,True,True,between 2.0 and 3.5
4
+ Fred DeLuca,551,2014,1965,Subway,founder,restaurant,new,66,male,United States,USA,0,North America,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
5
+ Hiroshi Yamauchi,280,1996,1889,Nintendo,relation,video games,new,68,male,Japan,JPN,4710000000000,East Asia,inherited,New Sectors,True,Technology-Computer,3rd generation,True,True,between 1.4 and 2.0
6
+ Werner Voigt,1284,2014,1961,WEG,founder,electronics,new,84,male,Brazil,BRA,0,Latin America,founder non-finance,Traded Sectors,True,Non-consumer industrial,not inherited,True,True,less than 1.4
7
+ Anne Cox Chambers,58,2014,1898,Cox Enterprises,relation,media,aquired,94,female,United States,USA,0,North America,inherited,Non-Traded Sectors,True,Media,father,True,True,greater than 3.5
8
+ Yuriy Kosiuk,1154,2014,1998,MHP,founder,agriculture,aquired,45,male,Ukraine,UKR,0,Europe,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,between 1.4 and 2.0
9
+ Alberto Bailleres Gonzalez,251,2001,1960,Penoles,relation,mining,privatization,68,male,Mexico,MEX,725000000000,Latin America,inherited,Resource Related,True,Mining and metals,father,True,True,between 1.4 and 2.0
10
+ Yvonne Bauer,446,2014,1875,Bauer Media Group,relation,media,new,36,female,Germany,DEU,0,Europe,inherited,Non-Traded Sectors,True,Media,5th generation or longer,True,True,greater than 3.5
11
+ Pan Zhengmin,663,2014,1993,AAC Technologies,founder,electronics,new,44,male,China,CHN,0,East Asia,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,between 2.0 and 3.5
12
+ Gordon Moore,60,2001,1968,Intel ,founder,technology,new,72,male,United States,USA,10600000000000,North America,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,greater than 3.5
13
+ Pavel Tykac,1565,2014,1995,Motoinvest,investor,hostile takeovers,new,49,male,Czech Republic,CZE,0,Europe,privatized and resources,Resource Related,True,Mining and metals,not inherited,True,True,less than 1.4
14
+ David Murdock,452,2001,1851,Dole Food Company,Chairman and Chief Executive Officer,food,aquired,77,male,United States,USA,10600000000000,North America,executive,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
15
+ Wong Man Li,1372,2014,1992,Man Wah Holdings,founder,furniture,new,49,male,Hong Kong,HKG,0,East Asia,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
16
+ Walther Moreira Salles Junior,580,2014,1926,Unibanco,relation,banking,new,57,male,Brazil,BRA,0,Latin America,inherited,Financial,True,Money Management,3rd generation,True,True,between 2.0 and 3.5
17
+ Johnelle Hunt,828,2014,1961,J.B. Hunt Transport Services,founder,trucking ,new,82,female,United States,USA,0,North America,founder non-finance,0,True,Other,not inherited,True,True,between 2.0 and 3.5
18
+ Christoffel Wiese,506,2014,1979,Shoprite,Exectuitve Director,consumer retail,aquired,72,male,South Africa,ZAF,0,Sub-Saharan Africa,executive,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
19
+ Bill Gross,764,2014,1971,PIMCO,founder,mutual funds,new,69,male,United States,USA,0,North America,self-made finance,Financial,True,Diversified financial,not inherited,True,True,between 2.0 and 3.5
20
+ Dennis Washington,240,2014,1964,Washington Companies,founder,construction,new,79,male,United States,USA,0,North America,founder non-finance,Non-Traded Sectors,True,Constrution,not inherited,True,True,greater than 3.5
21
+ Krit Ratanarak,609,2014,1945,Bank of Ayudhya/Bangkok Broadcasting and Television Company,relation,"banking, media",new,67,male,Thailand,THA,0,East Asia,inherited,Non-Traded Sectors,True,Media,father,True,True,between 2.0 and 3.5
22
+ Bernard Broermann,609,2014,1984,Asklepios Kliniken GmbH,founder,hospitals,new,70,male,Germany,DEU,0,Europe,founder non-finance,New Sectors,True,Technology-Medical,not inherited,True,True,between 2.0 and 3.5
23
+ Silas Chou,731,2014,1981,Michael Kors,chairman,retail,new,67,male,Hong Kong,HKG,0,East Asia,executive,Traded Sectors,True,Consumer,not inherited,True,True,between 2.0 and 3.5
24
+ Neil Bluhm,687,2014,1969,JMB Realty,founder,real estate,new,76,male,United States,USA,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 2.0 and 3.5
25
+ Li Shuirong,1565,2014,1995,Rongsheng Petrochemical,chairman,petrochemicals,new,57,male,China,CHN,0,East Asia,executive,Traded Sectors,True,Non-consumer industrial,not inherited,True,True,less than 1.4
26
+ Sakip Sabanci,73,1996,1926,Sabanci Holdings,relation,textiles,new,63,male,Turkey,TUR,181000000000,Middle East/North Africa,inherited,Traded Sectors,True,Consumer,father,True,True,greater than 3.5
27
+ Stephen Schwarzman,122,2014,1985,Blackstone Group,founder,private equity,new,67,male,United States,USA,0,North America,self-made finance,Financial,True,Private equity/leveraged buyout,not inherited,True,True,greater than 3.5
28
+ Jack Taylor,167,2001,1957,Enterprise,founder,rental cars,new,0,male,United States,USA,10600000000000,North America,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
29
+ Heinz-Georg Baus,388,2014,1960,Bauhaus,founder,home improvement retail,new,80,male,Germany,DEU,0,Europe,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,greater than 3.5
30
+ Leonid Fedun,208,2014,1990,Lukoil,Vice President,oil,new,57,male,Russia,RUS,0,Europe,privatized and resources,Resource Related,True,Energy,not inherited,True,True,greater than 3.5
31
+ Mochtar Riady,306,1996,1948,Lippo Group,founder,banking,new,0,male,Indonesia,IDN,227000000000,East Asia,self-made finance,Financial,True,Real Estate,not inherited,True,True,less than 1.4
32
+ David Sainsbury,1284,2014,1869,Sainsbury's,relation,groceries,new,73,male,United Kingdom,GBR,0,Europe,inherited,Non-Traded Sectors,True,"Retail, Restaurant",4th generation,True,True,less than 1.4
33
+ Prince Sultan bin Mohammed bin Saud Al Kabeer,446,2014,1997,Almarai,founder,dairy,new,60,male,Saudi Arabia,SAU,0,Middle East/North Africa,privatized and resources,Traded Sectors,True,Consumer,not inherited,True,True,greater than 3.5
34
+ Sara Blakely,1565,2014,2000,Spanx,founder,apparel,new,43,female,United States,USA,0,North America,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
35
+ Yoshikazu Tanaka,1092,2014,2004,"GREE, Inc",founder,social network,new,37,male,Japan,JPN,0,East Asia,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,between 1.4 and 2.0
36
+ Susanne Klatten,49,2014,1916,BMW,relation,cars,new,51,female,Germany,DEU,0,Europe,inherited,Traded Sectors,True,Consumer,father,True,True,greater than 3.5
37
+ Ronda Stryker,452,2001,1941,Stryker Corporation,relation,medical supplies,new,46,female,United States,USA,10600000000000,North America,inherited,New Sectors,True,Technology-Medical,3rd generation,True,True,less than 1.4
38
+ David Cheriton,687,2014,1998,Google,investor,venture capitalist,new,62,male,Canada,CAN,0,North America,executive,New Sectors,True,Technology-Computer,not inherited,True,True,between 2.0 and 3.5
39
+ Suh Kyung-Bae,609,2014,1945,AmorePacific,relation,cosmetics,new,51,male,South Korea,KOR,0,East Asia,inherited,Traded Sectors,True,Consumer,father,True,True,between 2.0 and 3.5
40
+ Brian Roberts,1372,2014,1969,Comcast,relation,media,new,54,male,United States,USA,0,North America,inherited,Non-Traded Sectors,True,Media,father,True,True,less than 1.4
41
+ Petro Poroshenko,1284,2014,1993,Roshen Gropu,founder,confectionary,privatization,48,male,Ukraine,UKR,0,Europe,privatized and resources,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
42
+ Scott McNealy,292,2001,1982,Sun Microsystems,founder,microchips,new,0,male,United States,USA,10600000000000,North America,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,between 1.4 and 2.0
43
+ Laurent Burelle,1465,2014,1957,Plastic Omnium,relation,plastic,new,64,male,France,FRA,0,Europe,inherited,Traded Sectors,True,Consumer,father,True,True,less than 1.4
44
+ Stanley Hubbard,764,2014,1925,Hubbard Broadcasting Inc,owner,media,new,80,male,United States,USA,0,North America,executive,Non-Traded Sectors,True,Media,not inherited,True,True,between 2.0 and 3.5
45
+ Gil Shwed,312,2001,1993,Check Point,founder,software,new,33,male,Israel,ISR,130000000000,Middle East/North Africa,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,between 1.4 and 2.0
46
+ "Stephen Mandel, Jr.",828,2014,1997,Lone Pine Capital,founder,hedge funds,new,57,male,United States,USA,0,North America,self-made finance,Financial,True,Hedge funds,not inherited,True,True,between 2.0 and 3.5
47
+ Daniel Ziff,419,1996,1927,Ziff Davis Inc,relation,publishing,new,24,male,United States,USA,8100000000000,North America,inherited,Financial,True,Hedge funds,3rd generation,True,True,less than 1.4
48
+ Len Ainsworth,1210,2014,1953,Aristocrat Leisure Limited,founder,gaming,new,90,male,Australia,AUS,0,North America,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,between 1.4 and 2.0
49
+ K. Rai Sahi,1540,2014,1975,Morgaurd,chairman and ceo,real estate,new,67,male,Canada,CAN,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,less than 1.4
50
+ Jeff Sutton,642,2014,1994,Wharton Properties,founder,real estate,new,54,male,United States,USA,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 2.0 and 3.5
51
+ Amancio Ortega,3,2014,1975,Zara,founder,Fashion,new,77,male,Spain,ESP,0,Europe,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,greater than 3.5
52
+ Luo Jye,340,2014,1967,Maxxis,founder,tires,new,88,male,Taiwan,Taiwan,0,East Asia,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,greater than 3.5
53
+ Jean (Gigi) Pritzker,764,2014,1957,Hyatt,relation,hotels,aquired,52,female,United States,USA,0,North America,inherited,Financial,True,Real Estate,father,True,True,between 2.0 and 3.5
54
+ Dietrich Mateschitz,136,2014,1984,Red Bull,founder,beverages,new,69,male,Austria,AUT,0,Europe,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,greater than 3.5
55
+ Ana Maria Marcondes Penido Sant'Anna,1143,2014,1945,CCR Group,relation,toll roads,new,58,female,Brazil,BRA,0,Latin America,inherited,0,True,Other,father,True,True,between 1.4 and 2.0
56
+ Max Michel Suberville,1210,2014,1890,FEMSA,owner,beverages,new,81,male,Mexico,MEX,0,Latin America,executive,Traded Sectors,True,Consumer,not inherited,True,True,between 1.4 and 2.0
57
+ Vadim Moshkovich,1284,2014,1995,Rusagro,founder,aigriculture,new,46,male,Russia,RUS,0,Europe,privatized and resources,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
58
+ Michael Bloomberg,16,2014,1981,Bloomberg,founder, finance, new,72,male,United States,USA,0,North America,founder non-finance,Non-Traded Sectors,True,Media,not inherited,True,True,greater than 3.5
59
+ Keeree Kanjanapas,1270,2014,1992,BTS Skytrain,founder,mass transit,new,64,male,Thailand,THA,0,East Asia,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 1.4 and 2.0
60
+ Zhang Hongwei,1046,2014,2007,United Energy Group,chairman,oil,new,59,male,China,CHN,0,East Asia,self-made finance,Financial,True,Diversified financial,not inherited,True,True,between 1.4 and 2.0
61
+ Juan-Miguel Villar Mir,687,2014,1911,Obrascon Huarte Lain S.A.,Chairman and Chief Executive Officer,construction,aquired,82,male,Spain,ESP,0,Europe,executive,Non-Traded Sectors,True,Constrution,not inherited,True,True,between 2.0 and 3.5
62
+ Stelios Haji-Ioannou,520,2014,1995,Easy Jet,founder,airline,new,47,male,Cyprus,CYP,0,Europe,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
63
+ Masafumi Miyamoto,310,1996,1983,Square,founder,video games,subsidiary,0,male,Japan,JPN,4710000000000,East Asia,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,less than 1.4
64
+ Lucio Tan,227,2014,1982,Asia Brewery,founder,beverages,new,79,male,Philippines,PHL,0,East Asia,privatized and resources,Financial,True,Diversified financial,not inherited,True,True,greater than 3.5
65
+ Leonid Simanovsky,1372,2014,1994,Novatek,founder,gas,new,64,male,Russia,RUS,0,Europe,self-made finance,Financial,True,Diversified financial,not inherited,True,True,less than 1.4
66
+ Huang Shih Tsai,1154,2014,1990,Greater China International Investment Group,founder,real estate,new,62,male,Hong Kong,HKG,0,East Asia,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 1.4 and 2.0
67
+ Winthrop Rockefeller,421,2001,1870,Standard Oil,relation,oil,new,52,male,United States,USA,10600000000000,North America,inherited,Resource Related,True,Energy,3rd generation,True,True,less than 1.4
68
+ Lucio Tan,421,2001,1982,Asia Brewery,founder,beverages,new,66,male,Philippines,PHL,76261998621,East Asia,privatized and resources,Financial,True,Money Management,not inherited,True,True,less than 1.4
69
+ Abdul Al Rahman Al Jeraisy,336,2001,1956,Jeraisy Group,founder,industrial goods,new,0,male,Saudi Arabia,SAU,183000000000,Middle East/North Africa,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,between 1.4 and 2.0
70
+ Alain Wertheimer,187,1996,1909,Chanel,relation,luxury goods,new,0,male,France,FRA,1610000000000,Europe,inherited,Traded Sectors,True,Consumer,3rd generation,True,True,between 2.0 and 3.5
71
+ Folorunsho Alakija,687,2014,1991,Famfa Limited,founder,fashion/oil,new,63,female,Nigeria,NGA,0,Sub-Saharan Africa,privatized and resources,Resource Related,True,Energy,not inherited,True,True,between 2.0 and 3.5
72
+ Lia Maria Aguiar,1372,2014,1943,Bradesco,relation,banking,new,76,female,Brazil,BRA,0,Latin America,inherited,Financial,True,Money Management,father,True,True,less than 1.4
73
+ Cho Tak Wong,1372,2014,1987,Fuyao Glass Industry Group,CEO,auto glass,new,67,male,Hong Kong,HKG,0,East Asia,executive,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
74
+ Antonio Ermirio de Moraes,520,2014,1919,Votorantim Group,relation,"metals, paper, cement",new,85,male,Brazil,BRA,0,Latin America,inherited,Financial,True,Diversified financial,father,True,True,between 2.0 and 3.5
75
+ Samuel LeFrak,174,2001,1905,LeFrack ,relation,real estate,new,0,male,United States,USA,10600000000000,North America,inherited,Financial,True,Real Estate,3rd generation,True,True,between 2.0 and 3.5
76
+ Tajudin Ramli,281,1996,1937,Malaysia Airlines,Chairman and Chief Executive Officer,airplanes,state owned enterprise,0,male,Malaysia,MYS,101000000000,East Asia,privatized and resources,Non-Traded Sectors,True,Media,not inherited,True,True,between 1.4 and 2.0
77
+ Alberto Bailleres Gonzalez,225,1996,1960,Penoles,relation,mining,privatization,63,male,Mexico,MEX,397000000000,Latin America,inherited,Resource Related,True,Mining and metals,father,True,True,between 1.4 and 2.0
78
+ Ding Shijia,1565,2014,1994,Anta Sports,deputy chairman,sportswear,new,50,male,China,CHN,0,East Asia,executive,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
79
+ Maurice Greenberg,293,1996,1919,AIG,Chairman and Chief Executive Officer,insurance,new,70,male,United States,USA,8100000000000,North America,self-made finance,Financial,True,Money Management,not inherited,True,True,between 1.4 and 2.0
80
+ Daisy Igel,1442,2014,1930,Ultrapar,relation,"gas, petrochemicals",new,86,female,Brazil,BRA,0,Latin America,inherited,Resource Related,True,Energy,father,True,True,less than 1.4
81
+ Joan Kroc,240,1996,1940,McDonald's,relation,restaurants,new,0,female,United States,USA,8100000000000,North America,inherited,Non-Traded Sectors,True,"Retail, Restaurant",spouse/widow,True,True,between 1.4 and 2.0
82
+ Zhu Yicai,1154,2014,1993,Yurun Food,founder,meat products,new,49,male,China,CHN,0,East Asia,self-made finance,Financial,True,Diversified financial,not inherited,True,True,between 1.4 and 2.0
83
+ David Tepper,122,2014,1993,Appaloosa Management,founder,hedge funds,new,56,male,United States,USA,0,North America,self-made finance,Financial,True,Hedge funds,not inherited,True,True,greater than 3.5
84
+ Jay Robert (J.B.) Pritzker,520,2014,1957,Hyatt,relation,hotels,aquired,49,male,United States,USA,0,North America,inherited,Financial,True,Real Estate,father,True,True,between 2.0 and 3.5
85
+ Alan Howard,1092,2014,2002,Brevan Howard Asset Management,founder,hedge funds,new,50,male,United Kingdom,GBR,0,Europe,self-made finance,Financial,True,Hedge funds,not inherited,True,True,between 1.4 and 2.0
86
+ Whitney MacMillan,305,2014,1865,Cargill,relation,food processing/commodities,new,85,male,United States,USA,0,North America,inherited,Financial,True,Money Management,3rd generation,True,True,greater than 3.5
87
+ Bruce Nordstrom,1284,2014,1901,Nordstrom,relation,retail,new,80,male,United States,USA,0,North America,inherited,Non-Traded Sectors,True,"Retail, Restaurant",3rd generation,True,True,less than 1.4
88
+ R Budi Hartono,173,2014,1951,Djarum,relation,tobacco,new,73,male,Indonesia,IDN,0,East Asia,self-made finance,Financial,True,Money Management,not inherited,True,True,greater than 3.5
89
+ Lorenzo Fertitta,1284,2014,1976,Station Casinos,founder,entertainment,new,45,male,United States,USA,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,less than 1.4
90
+ Jose Isaac Peres,1284,2014,1975,Multiplan,founder,shopping centers,new,73,male,Brazil,BRA,0,Latin America,self-made finance,Financial,True,Real Estate,not inherited,True,True,less than 1.4
91
+ Monika Schoeller,1565,2014,1948,Verlagsgruppe Holtzbrinck,relation,publishing,new,75,female,Germany,DEU,0,Europe,inherited,Non-Traded Sectors,True,Media,father,True,True,less than 1.4
92
+ German Larrea Mota Velasco,67,2014,1978,Grupo Mexio,founder,copper,new,60,male,Mexico,MEX,0,Latin America,privatized and resources,Resource Related,True,Mining and metals,not inherited,True,True,greater than 3.5
93
+ August von Finck,88,1996,1890,"Allianz, Merk Finck & Co",relation,banking/insurance,new,65,male,Germany,DEU,2500000000000,Europe,inherited,Financial,True,Money Management,father,True,True,between 2.0 and 3.5
94
+ Bruno Schroder,174,2001,1800,Schroders,relation,banking,new,68,male,United Kingdom,GBR,1530000000000,Europe,inherited,Financial,True,Money Management,4th generation,True,True,between 2.0 and 3.5
95
+ John Kluge,24,2001,1956,Metropolitan Broadcasting Corporation,chairman,media,new,86,male,United States,USA,10600000000000,North America,executive,Non-Traded Sectors,True,Media,not inherited,True,True,greater than 3.5
96
+ J. Christopher Reyes,430,2014,1976,Reyes Holdings,ceo,beer and food distribution,aquired,60,male,United States,USA,0,North America,executive,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,greater than 3.5
97
+ Faruk Eczacibasi,1154,2014,1942,Eczacibasi Holding,relation,pharmaceuticals,new,59,male,Turkey,TUR,0,Middle East/North Africa,inherited,New Sectors,True,Technology-Medical,father,True,True,between 1.4 and 2.0
98
+ Billy Joe McCombs,336,2001,1958,Red McCombs Automotive Group,founder,"auto sales, energy",new,73,male,United States,USA,10600000000000,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 1.4 and 2.0
99
+ Maria Asuncion Aramburuzabala,272,2001,1925,Grupo Modelo,relation,beer,new,37,female,Mexico,MEX,725000000000,Latin America,inherited,Traded Sectors,True,Consumer,3rd generation,True,True,between 1.4 and 2.0
100
+ Dorrance Hill Hamilton,318,1996,1869,Campbell Soup,relation,soup,aquired,0,female,United States,USA,8100000000000,North America,inherited,Traded Sectors,True,Consumer,3rd generation,True,True,less than 1.4
101
+ Khoo Teck Puat,97,1996,1960,Malayan Banking,founder,banking,new,79,male,Singapore,SGP,96400967339,East Asia,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 2.0 and 3.5
102
+ Hansjoerg Wyss,111,2014,1974,Synthes USA,founder/CEO,medical technology,new division,79,male,Switzerland,CHE,0,Europe,founder non-finance,New Sectors,True,Technology-Medical,not inherited,True,True,greater than 3.5
103
+ David Koch,138,2001,1940,Koch industries,relation, Oil refining,new,60,male,United States,USA,10600000000000,North America,inherited,Resource Related,True,Energy,father,True,True,between 2.0 and 3.5
104
+ Vladimir Scherbakov,1210,2014,1996,Avtotor Holding,founder,automobiles,new,64,male,Russia,RUS,0,Europe,privatized and resources,Traded Sectors,True,Consumer,not inherited,True,True,between 1.4 and 2.0
105
+ Riley Bechtel,252,1996,1898,Bechtel Corporation,relation and chairman,construction,new,43,male,United States,USA,8100000000000,North America,inherited,Non-Traded Sectors,True,Constrution,4th generation,True,True,between 1.4 and 2.0
106
+ Ke Xiping,1465,2014,1994,Xiamen Hengxing group,founder,"mining, investments",new,53,male,China,CHN,0,East Asia,self-made finance,Financial,True,Diversified financial,not inherited,True,True,less than 1.4
107
+ Joe Lewis,281,2014,1975,Tavistock Group,founder,currency trading,new,77,male,United Kingdom,GBR,0,Europe,self-made finance,,True,Diversified financial,not inherited,True,True,greater than 3.5
108
+ Jeff Bezos,18,2014,1995,Amazon,founder, technology, new,50,male,United States,USA,0,North America,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,greater than 3.5
109
+ Robert Rowling,295,2014,1980,Tana Exploration Company,relation,oil,new,60,male,United States,USA,0,North America,self-made finance,Financial,True,Diversified financial,not inherited,True,True,greater than 3.5
110
+ Ryan Kavanaugh,1565,2014,2004,Relativity Media,founder,film,new,39,male,United States,USA,0,North America,founder non-finance,Non-Traded Sectors,True,Media,not inherited,True,True,less than 1.4
111
+ Marie Besnier Beauvalot,642,2014,1933,Lactalis,relation,cheese,new,33,female,France,FRA,0,Europe,inherited,Traded Sectors,True,Consumer,father,True,True,between 2.0 and 3.5
112
+ James France,764,2014,1947,NASCAR,relation,sports,new,69,male,United States,USA,0,North America,inherited,0,True,Other,father,True,True,between 2.0 and 3.5
113
+ Eric Lefkofsky,988,2014,2008,Groupon,founder,internet companies,new,44,male,United States,USA,0,North America,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,between 1.4 and 2.0
114
+ Isabel dos Santos,408,2014,1997,Unitel Interneational Holdings,founder,telecom/investments,new,40,female,Angola,AGO,0,Sub-Saharan Africa,privatized and resources,Financial,True,Diversified financial,not inherited,True,True,greater than 3.5
115
+ Cesar Mata Pires,1143,2014,1976,OAS SA,founder,construction,new,0,male,Brazil,BRA,0,Latin America,privatized and resources,Non-Traded Sectors,True,Constrution,not inherited,True,True,between 1.4 and 2.0
116
+ Shiv Nadar,102,2014,1976,HCL,founder,technology,new,68,male,India,IND,0,South Asia,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,greater than 3.5
117
+ Robert Rich Sr,292,2001,1945,Rich Products,founder,food processing,new,87,male,United States,USA,10600000000000,North America,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,between 1.4 and 2.0
118
+ Philippe Foriel-Destezet,138,2001,1996,Adecco,owner,HR consulting,aquired,65,male,France,FRA,1380000000000,Europe,executive,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
119
+ Lu Xiangyang,506,2014,1995,BYD,vice chairman,automobiles,new,51,male,China,CHN,0,East Asia,executive,Traded Sectors,True,Consumer,not inherited,True,True,between 2.0 and 3.5
120
+ Gianluigi Aponte,506,2014,1970,MSC,founder,shipping,new,0,male,Switzerland,CHE,0,Europe,founder non-finance,0,True,Other,not inherited,True,True,between 2.0 and 3.5
121
+ Abdulla Al Futtaim,687,2014,1930,Al-Futtaim Group,relation,trading,new,0,male,United Arab Emirates,ARE,0,Middle East/North Africa,inherited,Non-Traded Sectors,True,"Retail, Restaurant",father,True,True,between 2.0 and 3.5
122
+ Ayman Hariri,1372,2014,1978,Saudi Oger,relation,construction,aquired,35,male,Lebanon,LBN,0,Middle East/North Africa,inherited,Non-Traded Sectors,True,Constrution,father,True,True,less than 1.4
123
+ Abigail Johnson,145,1996,1946,Fidelity Investments,relation,investment banking,new,34,female,United States,USA,8100000000000,North America,inherited,Financial,True,Money Management,3rd generation,True,True,between 2.0 and 3.5
124
+ Junichi Murata,396,1996,0,,,,,0,,Japan,JPN,4710000000000,East Asia,,Traded Sectors,True,Non-consumer industrial,not inherited,True,True,less than 1.4
125
+ Steven Ballmer,13,2001,1975,Microsoft,CEO,technology,new,44,male,United States,USA,10600000000000,North America,executive,New Sectors,True,Technology-Computer,not inherited,True,True,greater than 3.5
126
+ Robert Fisher,251,2001,1969,The Gap,relation,clothing ,new,47,male,United States,USA,10600000000000,North America,inherited,Traded Sectors,True,Consumer,father,True,True,between 1.4 and 2.0
127
+ Guenther Lehmann,988,2014,1973,Drogeriemarkt,owner,retail,new,0,male,Germany,DEU,0,Europe,executive,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 1.4 and 2.0
128
+ Henry Swieca,1270,2014,1992,Highbridge Capital Management,founder,hedge funds,new,56,male,United States,USA,0,North America,self-made finance,Financial,True,Hedge funds,not inherited,True,True,between 1.4 and 2.0
129
+ Fang Wei,1465,2014,2002,Fangda International Industrial Investment?,chairman,mining,new,40,male,China,CHN,0,East Asia,privatized and resources,Traded Sectors,True,Non-consumer industrial,not inherited,True,True,less than 1.4
130
+ Murat Vargi,1565,2014,1993,Turkcell,founder,telecom,new,66,male,Turkey,TUR,0,Middle East/North Africa,founder non-finance,Non-Traded Sectors,True,Media,not inherited,True,True,less than 1.4
131
+ Thomas Lee,1154,2014,1974,Thomas H. Lee Partners,founder,leveraged buyout,new,69,male,United States,USA,0,North America,self-made finance,Financial,True,Private equity/leveraged buyout,not inherited,True,True,between 1.4 and 2.0
132
+ Adolf Merckle,222,2001,1881,Ratiopharm,relation,pharmaceuticals,new,66,male,Germany,DEU,1950000000000,Europe,inherited,New Sectors,True,Technology-Medical,4th generation,True,True,between 2.0 and 3.5
133
+ Liem Sioe Liong,46,1996,1952,Salim Group,founder,consumer goods,new,0,male,Indonesia,IDN,227000000000,East Asia,self-made finance,Financial,True,Diversified financial,not inherited,True,True,greater than 3.5
134
+ Ina Chan,1565,2014,1962,Sociedade de Turismo e Divers?es de Macau,relation,gaming,new,60,female,Hong Kong,HKG,0,East Asia,inherited,Financial,True,Real Estate,spouse/widow,True,True,less than 1.4
135
+ Maria Helena Moraes Scripilliti,520,2014,1919,Votorantim Group,relation,"metals, paper, cement",new,83,female,Brazil,BRA,0,Latin America,inherited,Financial,True,Diversified financial,father,True,True,between 2.0 and 3.5
136
+ Lachhman Das Mittal,1465,2014,1969,Sonalika Group,founder,tractors,new,83,male,India,IND,0,South Asia,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
137
+ Jean-Claude Decaux,209,2001,1964,JCDecaux,founder,advertising,new,63,male,France,FRA,1380000000000,Europe,founder non-finance,Non-Traded Sectors,True,Media,not inherited,True,True,between 2.0 and 3.5
138
+ Han Chang-Woo,466,2014,1957,Maruhan,"Chairman, CEO",gaming,new,83,male,Japan,JPN,0,East Asia,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
139
+ Arthur Williams Jr,387,2001,1977,A.L. Williams & Associates,founder,life insurance ,new,58,male,United States,USA,10600000000000,North America,self-made finance,Financial,True,Hedge funds,not inherited,True,True,less than 1.4
140
+ Samuel Yin,483,2014,0,Ruentex Group,,"retail, financial services, real estate",,63,male,Taiwan,Taiwan,0,East Asia,,Financial,True,Diversified financial,not inherited,True,True,between 2.0 and 3.5
141
+ Jean Pierre Cayard,483,2014,1936,La Martiniquaise,relation,wine and spirits,new,71,male,France,FRA,0,Europe,inherited,Traded Sectors,True,Consumer,father,True,True,between 2.0 and 3.5
142
+ Pierre Omidyar,82,2001,1995,Ebay,founder and chairman,e-commerce,new,33,male,United States,USA,10600000000000,North America,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,greater than 3.5
143
+ Thomas Bailey,1565,2014,1969,Janus Capital Group,founder,mutual funds,new,77,male,United States,USA,0,North America,self-made finance,Financial,True,Money Management,not inherited,True,True,less than 1.4
144
+ Radik Shaimiev,1465,2014,1995,TAIF Group,owner,oil,new,49,male,Russia,RUS,0,Europe,privatized and resources,Resource Related,True,Energy,not inherited,True,True,less than 1.4
145
+ Gordon Getty,198,2001,1904,Getty ,relation,oil,new,60,male,United States,USA,10600000000000,North America,inherited,Resource Related,True,Energy,father,True,True,between 2.0 and 3.5
146
+ James Cargill,274,1996,1865,Cargill,relation,food processing/commodities,new,71,male,United States,USA,8100000000000,North America,inherited,Financial,True,Money Management,3rd generation,True,True,between 1.4 and 2.0
147
+ Trevor Rees-Jones,328,2014,1994,Chief Oil and Gas ,founder,oil,new,62,male,United States,USA,0,North America,privatized and resources,Resource Related,True,Energy,not inherited,True,True,greater than 3.5
148
+ Peter Nicholas,253,1996,1979,Boston Scientific,founder,medical devices,new,55,male,United States,USA,8100000000000,North America,founder non-finance,New Sectors,True,Technology-Medical,not inherited,True,True,between 1.4 and 2.0
149
+ Steve Ballmer,36,2014,1975,Microsoft,CEO,technology,new,57,male,United States,USA,0,North America,executive,New Sectors,True,Technology-Computer,not inherited,True,True,greater than 3.5
150
+ Soichiro Fukutake,363,2001,1955,Benesse Corporation,relation,publishing,new,55,male,Japan,JPN,4160000000000,East Asia,inherited,0,True,Other,father,True,True,between 1.4 and 2.0
151
+ Michael Krasny,1372,2014,1984,CDW Corporation,founder,retail,new,60,male,United States,USA,0,North America,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,less than 1.4
152
+ Micky Jagtiani,281,2014,1973,Landmark Group,founder,retail,new,62,male,India,IND,0,South Asia,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,greater than 3.5
153
+ Nathan Kirsh,408,2014,1990,Jetro Holdings,investor,retail,aquired,82,male,Swaziland,SWZ,0,Sub-Saharan Africa,executive,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,greater than 3.5
154
+ Edward Gaylord,234,2001,1975,Gaylord Entertainment Company,founder,media,new,0,male,United States,USA,10600000000000,North America,founder non-finance,Non-Traded Sectors,True,Media,not inherited,True,True,between 2.0 and 3.5
155
+ Ted Lerner,354,2014,1952,Lerner Enterprises,founder,real estate,new,88,male,United States,USA,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,greater than 3.5
156
+ John Sall,408,2014,1976,SAS institute,founder,software,new,65,male,United States,USA,0,North America,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,greater than 3.5
157
+ "Clemmie Spangler, Jr.",764,2014,1991,Bank of North Carolina,relation,banking,new,81,male,United States,USA,0,North America,inherited,Financial,True,Diversified financial,father,True,True,between 2.0 and 3.5
158
+ Carlos Peralta,336,2001,1939,Groupo IUSA,relation,construction,new,49,male,Mexico,MEX,725000000000,Latin America,inherited,Non-Traded Sectors,True,Media,father,True,True,between 1.4 and 2.0
159
+ Robert Fisher,869,2014,1969,The Gap,relation,clothing ,new,60,male,United States,USA,0,North America,inherited,Traded Sectors,True,Consumer,father,True,True,between 2.0 and 3.5
160
+ Ronald Lauder,182,1996,1946,Est?Lauder,relation,makeup,new,59,male,United States,USA,8100000000000,North America,inherited,Traded Sectors,True,Consumer,father,True,True,between 2.0 and 3.5
161
+ Takemitsu Takizaki,279,1996,1974,Keyence,founder,technology,new,50,male,Japan,JPN,4710000000000,East Asia,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,between 1.4 and 2.0
162
+ Hong Ra-Hee,1210,2014,1938,Samsung,relation,electronics,new,68,female,South Korea,KOR,0,East Asia,inherited,New Sectors,True,Technology-Computer,spouse/widow,True,True,between 1.4 and 2.0
163
+ Mohamed Mansour,520,2014,1952,Mansour Group,relation,automobiles,new,66,male,Egypt,EGY,0,Middle East/North Africa,inherited,Financial,True,Diversified financial,father,True,True,between 2.0 and 3.5
164
+ Denise York,1372,2014,1944,The DeBartolo Corporation,relation,real estate,new,63,female,United States,USA,0,North America,inherited,0,True,0,father,True,True,less than 1.4
165
+ Dhanin Chearavanont,50,1996,1921,Charoen Pokphand (CP Group),relation,retail,new,56,male,Thailand,THA,182000000000,East Asia,inherited,Traded Sectors,True,Consumer,father,True,True,greater than 3.5
166
+ Jonathan Harmsworth,931,2014,1894,Associated Newspapers,relation,media,new,46,male,United Kingdom,GBR,0,Europe,inherited,Non-Traded Sectors,True,Media,4th generation,True,True,between 1.4 and 2.0
167
+ John A. Sobrato,328,2014,1979,Sobrato Organization,founder,real estate,new,74,male,United States,USA,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,greater than 3.5
168
+ Marc Rowan,580,2014,1990,Apollo Group Management,founder,private equity,new,52,male,United States,USA,0,North America,self-made finance,Financial,True,Private equity/leveraged buyout,not inherited,True,True,between 2.0 and 3.5
169
+ Donald Sturm,387,2001,1884,Peter Kiewit Sons,owner,investments,new,0,male,United States,USA,10600000000000,North America,self-made finance,Financial,True,Money Management,not inherited,True,True,less than 1.4
170
+ Mofatraj Munot,1372,2014,1969,Kalpataru Group,founder,real estate,new,69,male,India,IND,0,South Asia,self-made finance,Financial,True,Real Estate,not inherited,True,True,less than 1.4
171
+ Richard Branson,272,2001,1972,Virgin Group,founder,media,new,50,male,United Kingdom,GBR,1530000000000,Europe,founder non-finance,Non-Traded Sectors,True,Media,not inherited,True,True,between 1.4 and 2.0
172
+ J Joseph Ricketts,452,2001,1975,TD Ameritrade,founder,banking,new,59,male,United States,USA,10600000000000,North America,self-made finance,Financial,True,Money Management,not inherited,True,True,less than 1.4
173
+ Jeffrey Bezos,234,2001,1994,Amazon,founder, technology, new,37,male,United States,USA,10600000000000,North America,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
174
+ Boonsong Asavabhokhin,408,1996,0,,,,,0,male,Thailand,THA,182000000000,East Asia,,Financial,True,Real Estate,not inherited,True,True,less than 1.4
175
+ Gerald J. Ford,828,2014,1926,Golden State Bancorp,Chairman,insurance,new,69,male,United States,USA,0,North America,self-made finance,Financial,True,Money Management,not inherited,True,True,between 2.0 and 3.5
176
+ Samuel Newhouse,70,2001,1909,Advance Publications,relation,media,new,73,male,United States,USA,10600000000000,North America,inherited,Non-Traded Sectors,True,Media,father,True,True,greater than 3.5
177
+ Andreas Halvorsen,796,2014,1999,Viking Global Equities,founder and ceo,hedge funds,new,52,male,Norway,NOR,0,Europe,self-made finance,Financial,True,Hedge funds,not inherited,True,True,between 2.0 and 3.5
178
+ Idan Ofer,244,2014,1950,Zodiac Maritime Agencies,relation,shipping,new,58,male,Israel,ISR,0,Middle East/North Africa,inherited,Resource Related,True,Energy,father,True,True,greater than 3.5
179
+ Kwek Leng Beng,312,2001,1948,Hong Leong Group,relation,banking,new,60,male,Singapore,SGP,89285087395,East Asia,inherited,Financial,True,Diversified financial,father,True,True,between 1.4 and 2.0
180
+ Heidi Horten,506,2014,1936,Horten AG,relation,retail,new,73,female,Austria,AUT,0,Europe,inherited,Non-Traded Sectors,True,"Retail, Restaurant",spouse/widow,True,True,between 2.0 and 3.5
181
+ Subhash Chandra,931,2014,1976,Essel Group,founder,media,new,63,male,India,IND,0,South Asia,founder non-finance,Non-Traded Sectors,True,Media,not inherited,True,True,between 1.4 and 2.0
182
+ Juan Fernando Belmont Anderson,1465,2014,1967,Yanbal Internacional,founder,cosmetics,new,70,male,Peru,PER,0,Latin America,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
183
+ Amos Hosetter Jr,319,1996,1964,Continental Cablevision,founder,media,new,59,male,United States,USA,8100000000000,North America,founder non-finance,Non-Traded Sectors,True,Media,not inherited,True,True,less than 1.4
184
+ Jose Mendes Nogueira,1465,2014,1966,J Mendes,founder,iron ore,new,86,male,Brazil,BRA,0,Latin America,privatized and resources,Resource Related,True,Mining and metals,not inherited,True,True,less than 1.4
185
+ Ronald Perelman,59,1996,1980,MacAnderws and Forbes Holdings,founder,holding company,aquired,53,male,United States,USA,8100000000000,North America,self-made finance,Financial,True,Private equity/leveraged buyout,not inherited,True,True,greater than 3.5
186
+ Steve Wynn,396,2014,1973,Wynn Resorts (formarly Mirage Resorts),founder,casinos,new,72,male,United States,USA,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,greater than 3.5
187
+ Andrei Bokarev,1154,2014,2002,CJSC Transmashholding,president,locomotive manufacturing,new,47,male,Russia,RUS,0,Europe,privatized and resources,Resource Related,True,Energy,not inherited,True,True,between 1.4 and 2.0
188
+ James Packer,208,2014,1936,Consolidated Press Holdings Limited,relation,media,aquired,46,male,Australia,AUS,0,North America,inherited,Financial,True,Real Estate,3rd generation,True,True,greater than 3.5
189
+ Stefan Persson,64,2001,1947, H&M,relation, fashion, new,53,male,Sweden,SWE,240000000000,Europe,inherited,Traded Sectors,True,Consumer,father,True,True,greater than 3.5
190
+ Nancy Walton Laurie,367,2014,1962,Walmart,relation, retail, new,62,female,United States,USA,0,North America,inherited,Non-Traded Sectors,True,"Retail, Restaurant",father,True,True,greater than 3.5
191
+ Daniel Loeb,796,2014,1995,Third Point LLC,founder,hedge funds,new,52,male,United States,USA,0,North America,self-made finance,Financial,True,Hedge funds,not inherited,True,True,between 2.0 and 3.5
192
+ Patrick Lee,663,2014,1994,Lee & Man Paper Manufacturing,founder,paper,new,72,male,Hong Kong,HKG,0,East Asia,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,between 2.0 and 3.5
193
+ James Jannard,410,1996,1975,"Oakley, Inc",founder,apparel and eyewear,new,46,male,United States,USA,8100000000000,North America,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
194
+ Nicola Bulgari,1210,2014,1884,Bulgari,relation,luxury goods,new,73,male,Italy,ITA,0,Europe,inherited,Traded Sectors,True,Consumer,5th generation or longer,True,True,between 1.4 and 2.0
195
+ Paolo Bulgari,1210,2014,1884,Bulgari,relation,luxury goods,new,76,male,Italy,ITA,0,Europe,inherited,Traded Sectors,True,Consumer,5th generation or longer,True,True,between 1.4 and 2.0
196
+ Richard Farmer,272,2001,1968,Cintas Corporation,founder,uniforms,new,66,male,United States,USA,10600000000000,North America,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 1.4 and 2.0
197
+ Sanford Weill,312,2001,1960,"Cogan, Berlind, Weill & Levitt",founder,stock broker,new,68,male,United States,USA,10600000000000,North America,self-made finance,Financial,True,Money Management,not inherited,True,True,between 1.4 and 2.0
198
+ Stephen Lansdown,731,2014,1981,Hargreaves Lansdown,founder,financial services,new,61,male,Guernsey,GGY,0,Europe,self-made finance,Financial,True,Money Management,not inherited,True,True,between 2.0 and 3.5
199
+ John Hargreaves,251,2001,1985,Matalan,founder,retail,new,57,male,United Kingdom,GBR,1530000000000,Europe,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 1.4 and 2.0
200
+ Donald Newhouse,153,2014,1909,Advance Publications,relation,media,new,84,male,United States,USA,0,North America,inherited,Non-Traded Sectors,True,Media,father,True,True,greater than 3.5
201
+ Liu Yongxing,256,2014,1982,East Hope Group,founder,agribusiness,new,65,male,China,CHN,0,East Asia,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,greater than 3.5
202
+ Henry Sy,97,2014,1960,SM Malls,founder,retail,new,89,male,Philippines,PHL,0,East Asia,self-made finance,Financial,True,Diversified financial,not inherited,True,True,greater than 3.5
203
+ Jerry Speyer,430,2014,1978,Tishman Speyer,founder,real estate,new,73,male,United States,USA,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,greater than 3.5
204
+ Edson de Godoy Bueno,663,2014,1972,Amil,founder,healthcare management,new,70,male,Brazil,BRA,0,Latin America,founder non-finance,Financial,True,Real Estate,not inherited,True,True,between 2.0 and 3.5
205
+ Larry Ellison,4,2001,1977,Oracle,founder, software, new,56,male,United States,USA,10600000000000,North America,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,greater than 3.5
206
+ Kenneth Morrison,292,2001,1899,Morrisons,relation,supermarkets,new,69,male,United Kingdom,GBR,1530000000000,Europe,inherited,Non-Traded Sectors,True,"Retail, Restaurant",father,True,True,between 1.4 and 2.0
207
+ Ernestina Herrera de Noble,490,2001,1945,Grupo Clarin,relation,media,new,0,female,Argentina,ARG,269000000000,Latin America,inherited,Non-Traded Sectors,True,Media,spouse/widow,True,True,less than 1.4
208
+ Robert and Ten Fong Ng,29,1996,1970,Sino Group,relation,real estate,new,0,male,Hong Kong,HKG,160000000000,East Asia,inherited,Financial,True,Real Estate,father,True,True,greater than 3.5
209
+ Nassef Sawiris,205,2014,1950,Orascom,relation,construction,new,53,male,Egypt,FIN,0,Europe,inherited,Non-Traded Sectors,True,Constrution,father,True,True,greater than 3.5
210
+ "Rupert Johnson, Jr.",224,2014,1947,Franklin Resources,relation,mutal funds,new,72,male,United States,USA,0,North America,inherited,Financial,True,Money Management,father,True,True,greater than 3.5
211
+ Fu Kwan,1565,2014,1990,Macrolink Group,chairman,investments,new,56,male,China,CHN,0,East Asia,self-made finance,Financial,True,Diversified financial,not inherited,True,True,less than 1.4
212
+ Vincent Bollore,183,2014,1822,Bollore,relation,paper manufacturing/investment,new,61,male,France,FRA,0,Europe,inherited,Financial,True,Diversified financial,3rd generation,True,True,greater than 3.5
213
+ Klaus Tschira,179,2001,1972,SAP AG,founder,software,new,60,male,Germany,DEU,1950000000000,Europe,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,between 2.0 and 3.5
214
+ Mustafa Latif Topbas,1284,2014,1995,BIM,owner,retail,new,69,male,Turkey,TUR,0,Middle East/North Africa,executive,Traded Sectors,True,Consumer,not inherited,True,True,less than 1.4
215
+ Alijan Ibragimov,1046,2014,1994,Eurasion natural Resources Corporation,founder,metals,new,60,male,Kazakhstan,KAZ,0,South Asia,privatized and resources,Resource Related,True,Mining and metals,not inherited,True,True,between 1.4 and 2.0
216
+ Edgar Bronfman,116,1996,1857,Seagrams,relation,liquor,new,67,male,United States,USA,8100000000000,North America,inherited,Traded Sectors,True,Consumer,father,True,True,between 2.0 and 3.5
217
+ Bulent Eczacibasi,1154,2014,1942,Eczacibasi Holding,relation,pharmaceuticals,new,64,male,Turkey,TUR,0,Middle East/North Africa,inherited,New Sectors,True,Technology-Medical,father,True,True,between 1.4 and 2.0
218
+ Christopher Hohn,1540,2014,2003,Children's Investment Fund,founder,hedge funds,new,47,male,United Kingdom,GBR,0,Europe,self-made finance,Financial,True,Hedge funds,not inherited,True,True,less than 1.4
219
+ Qi Xiangdong,1442,2014,2005,Qihoo,founder,internet company,new,43,male,China,CHN,0,East Asia,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,less than 1.4
220
+ Simonpietro Salini,1092,2014,1936,Salini Impregilo,relation,construction,new,81,male,Italy,ITA,0,Europe,inherited,Non-Traded Sectors,True,Constrution,father,True,True,between 1.4 and 2.0
221
+ Louis Le Duff,731,2014,1976,Brioche Doree,founder,restaurant,new,67,male,France,FRA,0,Europe,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
222
+ Andreas von Bechtolsheim,396,2014,1982,Sun Microsystems,founder,microchips,new,58,male,Germany,DEU,0,Europe,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,greater than 3.5
223
+ N.R. Narayana Murthy,1046,2014,1981,Infosys,founder,software,new,67,male,India,IND,0,South Asia,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,between 1.4 and 2.0
224
+ Samuel Newhouse,49,1996,1909,Advance Publications,relation,media,new,68,male,United States,USA,8100000000000,North America,inherited,Non-Traded Sectors,True,Media,father,True,True,greater than 3.5
225
+ Richard Chilton Jr,1210,2014,1992,Chilton Investment Company,founder,investment banking,new,55,male,United States,USA,0,North America,self-made finance,Financial,True,Hedge funds,not inherited,True,True,between 1.4 and 2.0
226
+ Jim Pattison,184,2014,1961,Jim Pattison Group,founder CEO owner,autos,new,85,male,Canada,CAN,0,North America,self-made finance,Financial,True,Diversified financial,not inherited,True,True,greater than 3.5
227
+ Jon Stryker,1092,2014,1941,Stryker Corporation,relation,medical supplies,new,55,male,United States,USA,0,North America,inherited,New Sectors,True,Technology-Medical,3rd generation,True,True,between 1.4 and 2.0
228
+ Gerald Cavendish Grosvenor,45,2001,1677,Grosvenor Group,relation,real estate,new,49,male,United Kingdom,GBR,1530000000000,Europe,inherited,Financial,True,Real Estate,5th generation or longer,True,True,greater than 3.5
229
+ Kim Woo-choong,157,1996,1967,Daewoo Group,founder,textiles,new,0,male,South Korea,KOR,603000000000,East Asia,privatized and resources,Financial,True,Diversified financial,not inherited,True,True,between 2.0 and 3.5
230
+ Meg Whitman,869,2014,1935,Hewlett-Packard,president and ceo,technology,new,57,female,United States,USA,0,North America,executive,New Sectors,True,Technology-Computer,not inherited,True,True,between 2.0 and 3.5
231
+ James Dinan,869,2014,1991,York Capital management,founder,hedge funds,new,54,male,United States,USA,0,North America,self-made finance,Financial,True,Hedge funds,not inherited,True,True,between 2.0 and 3.5
232
+ Tang Yiu,551,2014,1981,Belle Holdings,founder,footwear,new,80,male,Hong Kong,HKG,0,East Asia,founder non-finance,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,between 2.0 and 3.5
233
+ Yoshiko Mori,1210,2014,1959,Mori Building,relation,construction,new,73,female,Japan,JPN,0,East Asia,inherited,Non-Traded Sectors,True,Constrution,spouse/widow,True,True,between 1.4 and 2.0
234
+ Dirce Navarro Camargo,186,1996,1939,Camargo Correa Group,relation,construction,new,0,female,Brazil,BRA,854000000000,Latin America,inherited,Non-Traded Sectors,True,Constrution,not inherited,True,True,between 2.0 and 3.5
235
+ Zhang Guiping,1465,2014,1990,Suning Universal,chairman,real estate,new,62,male,China,CHN,0,East Asia,self-made finance,Financial,True,Real Estate,not inherited,True,True,less than 1.4
236
+ Mortimer Zuckerman,731,2014,1970,Boston Properties,founder,real estate,new,76,male,United States,USA,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 2.0 and 3.5
237
+ Dieter Schnabel,328,2014,1950,Helm AG,relation,chemicals,aquired,68,male,Germany,DEU,0,Europe,inherited,Traded Sectors,True,Non-consumer industrial,father,True,True,greater than 3.5
238
+ Putera Sampoerna,108,1996,1913,Sampoerna,relation,cigarette,new,0,male,Indonesia,IDN,227000000000,East Asia,inherited,Traded Sectors,True,Consumer,father,True,True,between 2.0 and 3.5
239
+ Sam Zell,346,1996,1968,Equity Group Investments,founder,real estate,new,54,male,United States,USA,8100000000000,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,less than 1.4
240
+ Ernesto Bertarelli,27,2001,1906,Serono,relation,pharmaceuticals,new,35,male,Switzerland,CHE,279000000000,Europe,inherited,New Sectors,True,Technology-Medical,3rd generation,True,True,greater than 3.5
241
+ Dhirubhai Ambani,124,2001,1966,Reliance,founder,textiles,new,0,male,India,IND,494000000000,South Asia,founder non-finance,Traded Sectors,True,Consumer,not inherited,True,True,between 2.0 and 3.5
242
+ Curt Engelhorn,60,2001,1865,BASF/Boehringer Mannheim/DePuy,relation,pharmaceuticals,new,74,male,Germany,DEU,1950000000000,Europe,inherited,New Sectors,True,Technology-Medical,4th generation,True,True,greater than 3.5
243
+ Djuhar Sutanto,192,1996,1952,Salim Group,founder,consumer goods,new,0,male,Indonesia,IDN,227000000000,East Asia,self-made finance,Financial,True,Diversified financial,not inherited,True,True,between 2.0 and 3.5
244
+ Linda Pritzker,988,2014,1957,Hyatt,relation,hotels,aquired,60,female,United States,USA,0,North America,inherited,Financial,True,Real Estate,father,True,True,between 1.4 and 2.0
245
+ Jon Huntsman,146,1996,1982,Huntsman chemical,founder,chemicals,new,58,male,United States,USA,8100000000000,North America,founder non-finance,Traded Sectors,True,Non-consumer industrial,not inherited,True,True,between 2.0 and 3.5
246
+ Tian Ming,1372,2014,1990,Hefei Meiya Optoelectronic Technology,owner,measuring instruments,new,60,male,China,CHN,0,East Asia,executive,Traded Sectors,True,Non-consumer industrial,not inherited,True,True,less than 1.4
247
+ Lui Che Woo,28,2014,1955,K. Wah Group,founder/chairman,"construction, hotels, gaming",new,84,male,Hong Kong,HKG,0,East Asia,self-made finance,Financial,True,Real Estate,not inherited,True,True,greater than 3.5
248
+ Kyosuke Kinoshita,91,1996,1948,Acom,relation,consumer loans,new,55,male,Japan,JPN,4710000000000,East Asia,inherited,Financial,True,Money Management,father,True,True,between 2.0 and 3.5
249
+ James Arthur and John Irving,70,1996,1882,J.D. Irving,relation,timber,new,0,male,Canada,CAN,627000000000,North America,inherited,Resource Related,True,Energy,3rd generation,True,True,greater than 3.5
250
+ Donald Hall,313,1996,1910,Hallmark Cards,relation,greeting cards,new,67,male,United States,USA,8100000000000,North America,inherited,Non-Traded Sectors,True,"Retail, Restaurant",father,True,True,less than 1.4
251
+ Lily Safra,1284,2014,1955,Banco Safra (now Saftra Group),relation,banking,new,76,female,Monaco,MCO,0,Europe,inherited,Financial,True,Money Management,spouse/widow,True,True,less than 1.4
252
+ Patrick Soon-Shiong,122,2014,1997,American Pharmaceutical Partners ,founder,healthcare,new,62,male,United States,USA,0,North America,founder non-finance,New Sectors,True,Technology-Medical,not inherited,True,True,greater than 3.5
253
+ Tsai Ming-Kai,1092,2014,1997,MediaTek,ceo,semiconductors,new,63,male,Taiwan,Taiwan,0,East Asia,executive,New Sectors,True,Technology-Computer,not inherited,True,True,between 1.4 and 2.0
254
+ Ciputra,152,1996,1961,Ciputra Development,founder,real estate,new,0,male,Indonesia,IDN,227000000000,East Asia,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 2.0 and 3.5
255
+ Hubert Palfinger,1540,2014,1932,Palfinger AG,relation,cranes,new,72,male,Austria,AUT,0,Europe,executive,Traded Sectors,True,Non-consumer industrial,not inherited,True,True,less than 1.4
256
+ Mitchell Goldhar,973,2014,1990,SmartCenters,owner,real estate,new,52,male,Canada,CAN,0,North America,self-made finance,Financial,True,Real Estate,not inherited,True,True,between 1.4 and 2.0
257
+ Albert Frere,295,2014,1956,Groupe Bruxelles Lambert,founder,steel/banking,aquired,88,male,Belgium,BEL,0,Europe,self-made finance,Financial,True,Diversified financial,not inherited,True,True,greater than 3.5
258
+ Joe Mansueto,796,2014,1984,"Morningstar, Inc",founder,media,new,57,male,United States,USA,0,North America,self-made finance,Financial,True,Money Management,not inherited,True,True,between 2.0 and 3.5
259
+ Stephan Schmidheiny,159,1996,1912,Holcim,relation,construction,new,48,male,Switzerland,CHE,330000000000,Europe,inherited,Financial,True,Money Management,4th generation,True,True,between 2.0 and 3.5
260
+ David Filo,490,2001,1994,Yahoo!,founder,software,new,34,male,United States,USA,10600000000000,North America,founder non-finance,New Sectors,True,Technology-Computer,not inherited,True,True,less than 1.4
261
+ Alain Taravella,1284,2014,1994,Altarea Cogedim,founder,real estate,new,66,male,France,FRA,0,Europe,self-made finance,Financial,True,Real Estate,not inherited,True,True,less than 1.4
262
+ Sergei Sarkisov,1465,2014,1991,RESO-Garantiya,owner,insurance,new,54,male,Russia,RUS,0,Europe,self-made finance,Financial,True,Money Management,not inherited,True,True,less than 1.4
263
+ Pat Stryker,931,2014,1941,Stryker Corporation,relation,medical supplies,new,57,female,United States,USA,0,North America,inherited,New Sectors,True,Technology-Medical,3rd generation,True,True,between 1.4 and 2.0
264
+ Galen Weston,350,1996,1882,George Weston Limited,relation,food distribution,new,55,male,Canada,CAN,627000000000,North America,inherited,Non-Traded Sectors,True,"Retail, Restaurant",3rd generation,True,True,less than 1.4
265
+ Stefano Pessina,113,2014,1849,Alliance Boots,relation,pharmaceuticals,aquired,72,male,Italy,ITA,0,Europe,executive,Non-Traded Sectors,True,"Retail, Restaurant",not inherited,True,True,greater than 3.5
classification/unipredict/bhanupratapbiswas-world-top-billionaires/test.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/bhanupratapbiswas-world-top-billionaires/train.csv ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/bhanupratapbiswas-world-top-billionaires/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/bharath011-heart-disease-classification-dataset/metadata.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "bharath011-heart-disease-classification-dataset",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "class",
8
+ "label_values": [
9
+ "positive",
10
+ "negative"
11
+ ],
12
+ "num_labels": 2,
13
+ "train_samples": 1187,
14
+ "test_samples": 132,
15
+ "train_label_distribution": {
16
+ "positive": 729,
17
+ "negative": 458
18
+ },
19
+ "test_label_distribution": {
20
+ "negative": 51,
21
+ "positive": 81
22
+ }
23
+ }
classification/unipredict/bharath011-heart-disease-classification-dataset/test.csv ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ age,gender,impluse,pressurehight,pressurelow,glucose,kcm,troponin,class
2
+ 60,0,83,150,94,246.7,1.03,0.0,negative
3
+ 45,1,96,97,55,144.0,2.87,1.48,positive
4
+ 61,1,74,140,77,129.0,1.03,3.23,positive
5
+ 62,0,60,145,67,208.0,1.29,0.01,negative
6
+ 66,1,84,125,55,149.0,1.33,0.17,positive
7
+ 52,1,61,121,60,99.0,0.8,0.08,positive
8
+ 64,1,60,199,99,92.0,3.43,5.37,positive
9
+ 50,1,71,117,61,94.0,5.86,0.01,negative
10
+ 80,0,60,129,55,166.0,3.35,0.01,negative
11
+ 47,0,81,200,110,97.0,13.73,0.96,positive
12
+ 55,1,67,145,83,191.0,0.68,2.99,positive
13
+ 50,1,65,106,49,126.0,1.59,0.01,negative
14
+ 60,1,61,160,95,294.0,2.68,0.01,negative
15
+ 60,0,65,129,75,132.0,28.41,0.05,positive
16
+ 49,1,70,117,76,87.0,1.83,0.05,positive
17
+ 41,1,60,145,67,120.0,3.41,0.0,negative
18
+ 55,1,74,134,58,319.0,2.6,0.76,positive
19
+ 63,1,101,142,96,228.0,2.47,0.01,negative
20
+ 42,1,81,150,51,101.0,1.41,0.0,negative
21
+ 53,1,51,118,50,60.0,1.78,0.01,negative
22
+ 47,1,71,117,61,140.0,4.39,1.37,positive
23
+ 57,1,56,93,65,133.0,16.62,0.02,positive
24
+ 64,0,63,104,87,227.0,0.49,0.01,negative
25
+ 74,0,57,142,77,182.0,21.04,0.01,positive
26
+ 67,1,74,117,42,101.0,3.7,0.07,positive
27
+ 51,1,92,147,78,88.0,4.08,0.22,positive
28
+ 67,0,84,118,68,98.0,1.46,0.01,negative
29
+ 45,1,72,154,67,98.0,16.08,0.01,positive
30
+ 62,1,70,175,92,107.0,0.96,2.73,positive
31
+ 23,1,82,138,82,89.0,1.46,0.01,negative
32
+ 60,1,112,115,69,87.0,5.43,0.01,negative
33
+ 50,0,72,91,70,147.0,2.74,0.06,positive
34
+ 74,1,51,143,75,96.0,2.05,0.01,positive
35
+ 70,1,56,171,56,185.0,63.13,0.71,positive
36
+ 73,0,82,130,72,79.0,1.4,0.01,negative
37
+ 40,1,78,101,54,108.0,31.4,0.01,positive
38
+ 68,1,102,130,83,271.0,2.63,2.57,positive
39
+ 52,1,73,161,90,77.0,1.26,0.01,negative
40
+ 68,1,65,112,58,134.0,7.47,0.02,positive
41
+ 82,0,88,152,87,99.0,1.21,0.0,negative
42
+ 64,1,70,120,55,270.0,13.87,0.12,positive
43
+ 43,1,75,157,87,74.0,4.2,0.0,negative
44
+ 53,1,66,112,74,302.0,1.69,0.1,positive
45
+ 65,1,75,98,53,407.0,1.82,0.04,positive
46
+ 65,1,70,117,61,84.0,1.58,0.4,positive
47
+ 44,1,71,143,71,104.0,1.19,0.07,positive
48
+ 48,1,60,113,52,100.0,43.06,0.0,positive
49
+ 103,0,86,146,92,120.0,69.32,0.06,positive
50
+ 48,1,73,138,79,100.0,1.29,0.01,negative
51
+ 35,1,63,123,82,94.0,1.21,0.08,positive
52
+ 50,1,96,105,70,103.0,16.95,0.0,positive
53
+ 72,0,81,125,69,155.0,6.3,0.01,positive
54
+ 47,1,70,149,79,82.0,3.33,0.94,positive
55
+ 58,1,80,109,67,150.0,6.19,0.01,negative
56
+ 61,1,63,104,63,193.0,4.87,0.05,positive
57
+ 35,0,90,150,84,90.0,2.67,0.0,negative
58
+ 86,0,40,179,68,147.0,5.22,0.01,negative
59
+ 60,0,72,104,65,181.0,66.32,0.04,positive
60
+ 65,1,67,177,105,120.0,3.68,0.01,negative
61
+ 65,0,72,100,57,96.0,144.9,0.03,positive
62
+ 43,0,72,107,86,67.0,2.26,0.0,negative
63
+ 60,1,68,42,64,106.0,0.88,0.43,negative
64
+ 65,1,80,150,78,108.0,1.47,1.25,positive
65
+ 70,1,87,148,89,80.0,7.06,0.0,positive
66
+ 60,0,83,104,57,87.0,104.3,0.01,positive
67
+ 67,0,62,109,63,362.0,1.73,0.01,negative
68
+ 27,1,93,105,71,105.0,2.73,0.46,positive
69
+ 61,1,69,148,72,95.0,1.48,0.0,negative
70
+ 56,1,93,105,71,190.0,4.16,0.0,negative
71
+ 60,0,64,113,64,293.0,1.63,2.87,positive
72
+ 68,0,67,124,62,87.0,3.14,0.01,negative
73
+ 55,0,64,121,58,103.0,13.98,0.87,positive
74
+ 55,1,60,145,67,175.0,1.96,0.85,positive
75
+ 68,1,82,80,42,89.0,1.2,0.01,negative
76
+ 78,0,52,125,68,103.0,33.7,3.34,positive
77
+ 60,0,61,99,62,92.0,43.83,0.01,positive
78
+ 51,1,74,118,78,94.0,1.32,0.01,negative
79
+ 58,0,91,120,80,177.0,18.15,0.01,positive
80
+ 51,1,91,121,82,185.0,2.02,0.02,positive
81
+ 53,1,61,119,75,115.0,6.67,0.03,positive
82
+ 71,0,67,150,70,131.0,4.73,0.03,positive
83
+ 41,1,58,93,48,122.0,3.59,0.05,positive
84
+ 74,1,77,153,76,166.0,2.05,0.01,negative
85
+ 44,0,67,192,56,94.0,0.72,0.0,negative
86
+ 55,1,89,126,64,92.0,3.78,0.02,positive
87
+ 41,1,92,147,78,155.0,7.01,0.0,positive
88
+ 43,0,75,150,95,103.0,81.84,0.01,positive
89
+ 63,1,73,115,72,191.0,24.64,0.02,positive
90
+ 63,1,63,104,87,81.0,8.47,0.01,positive
91
+ 50,1,66,112,74,146.0,10.11,1.4,positive
92
+ 65,1,61,96,48,94.0,0.86,0.4,positive
93
+ 30,0,68,91,61,93.0,3.93,0.0,negative
94
+ 56,1,79,139,89,177.0,0.74,0.0,negative
95
+ 34,1,63,153,66,301.0,3.85,0.0,negative
96
+ 56,1,70,113,55,105.0,0.73,0.0,negative
97
+ 60,0,78,109,69,230.0,19.47,0.0,positive
98
+ 62,1,71,140,71,125.0,1.72,0.0,negative
99
+ 21,1,85,204,84,93.0,2.71,0.0,negative
100
+ 72,0,83,123,67,283.0,2.12,0.03,positive
101
+ 58,1,82,164,90,162.0,0.7,0.0,negative
102
+ 42,1,84,125,55,150.0,1.68,0.0,negative
103
+ 68,1,90,111,65,134.0,1.65,0.02,positive
104
+ 46,1,77,153,76,96.0,1.33,0.01,negative
105
+ 72,0,75,160,70,130.0,8.54,0.01,positive
106
+ 51,1,94,157,79,134.0,50.89,1.77,positive
107
+ 63,1,81,150,51,195.0,5.57,0.01,negative
108
+ 50,1,75,116,71,126.0,2.24,0.05,positive
109
+ 66,0,80,135,75,331.0,1.21,0.01,negative
110
+ 47,1,60,199,99,123.0,1.16,0.82,positive
111
+ 30,1,112,115,69,109.0,1.52,0.01,negative
112
+ 35,1,61,125,80,100.0,7.66,0.0,positive
113
+ 85,1,80,129,89,81.0,1.39,0.01,negative
114
+ 63,1,77,100,68,110.0,2.79,0.0,negative
115
+ 63,1,55,109,76,217.0,2.19,0.02,positive
116
+ 50,1,63,98,57,111.0,2.55,0.01,negative
117
+ 61,1,102,130,83,201.0,1.24,0.09,positive
118
+ 65,1,88,119,66,129.0,3.04,0.01,negative
119
+ 75,1,69,103,68,136.0,1.81,0.02,positive
120
+ 55,1,55,109,76,130.0,9.51,0.64,positive
121
+ 65,1,36,106,58,88.0,1.25,0.09,positive
122
+ 47,1,70,120,55,161.0,1.13,0.94,positive
123
+ 62,1,105,128,80,167.0,3.29,0.03,positive
124
+ 70,1,67,87,38,88.0,0.82,0.11,positive
125
+ 60,1,134,111,69,163.0,3.08,0.03,positive
126
+ 68,0,82,91,56,99.0,1.53,0.29,positive
127
+ 47,0,66,134,57,279.0,300.0,0.01,positive
128
+ 56,1,58,145,62,188.0,3.04,0.01,negative
129
+ 50,1,64,110,58,90.0,0.99,0.86,positive
130
+ 63,1,56,121,60,98.0,7.52,1.18,positive
131
+ 60,1,98,110,76,99.0,3.17,0.03,positive
132
+ 38,0,60,125,88,90.0,1.04,0.0,negative
133
+ 65,1,70,118,72,222.0,2.0,0.18,positive
classification/unipredict/bharath011-heart-disease-classification-dataset/test.jsonl ADDED
@@ -0,0 +1,132 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The age is 60. The gender is 0. The impluse is 83. The pressurehight is 150. The pressurelow is 94. The glucose is 246.7. The kcm is 1.03. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The age is 45. The gender is 1. The impluse is 96. The pressurehight is 97. The pressurelow is 55. The glucose is 144.0. The kcm is 2.87. The troponin is 1.48.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The age is 61. The gender is 1. The impluse is 74. The pressurehight is 140. The pressurelow is 77. The glucose is 129.0. The kcm is 1.03. The troponin is 3.23.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The age is 62. The gender is 0. The impluse is 60. The pressurehight is 145. The pressurelow is 67. The glucose is 208.0. The kcm is 1.29. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The age is 66. The gender is 1. The impluse is 84. The pressurehight is 125. The pressurelow is 55. The glucose is 149.0. The kcm is 1.33. The troponin is 0.17.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The age is 52. The gender is 1. The impluse is 61. The pressurehight is 121. The pressurelow is 60. The glucose is 99.0. The kcm is 0.8. The troponin is 0.08.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The age is 64. The gender is 1. The impluse is 60. The pressurehight is 199. The pressurelow is 99. The glucose is 92.0. The kcm is 3.43. The troponin is 5.37.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The age is 50. The gender is 1. The impluse is 71. The pressurehight is 117. The pressurelow is 61. The glucose is 94.0. The kcm is 5.86. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The age is 80. The gender is 0. The impluse is 60. The pressurehight is 129. The pressurelow is 55. The glucose is 166.0. The kcm is 3.35. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The age is 47. The gender is 0. The impluse is 81. The pressurehight is 200. The pressurelow is 110. The glucose is 97.0. The kcm is 13.73. The troponin is 0.96.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The age is 55. The gender is 1. The impluse is 67. The pressurehight is 145. The pressurelow is 83. The glucose is 191.0. The kcm is 0.68. The troponin is 2.99.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The age is 50. The gender is 1. The impluse is 65. The pressurehight is 106. The pressurelow is 49. The glucose is 126.0. The kcm is 1.59. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The age is 60. The gender is 1. The impluse is 61. The pressurehight is 160. The pressurelow is 95. The glucose is 294.0. The kcm is 2.68. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The age is 60. The gender is 0. The impluse is 65. The pressurehight is 129. The pressurelow is 75. The glucose is 132.0. The kcm is 28.41. The troponin is 0.05.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The age is 49. The gender is 1. The impluse is 70. The pressurehight is 117. The pressurelow is 76. The glucose is 87.0. The kcm is 1.83. The troponin is 0.05.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The age is 41. The gender is 1. The impluse is 60. The pressurehight is 145. The pressurelow is 67. The glucose is 120.0. The kcm is 3.41. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The age is 55. The gender is 1. The impluse is 74. The pressurehight is 134. The pressurelow is 58. The glucose is 319.0. The kcm is 2.6. The troponin is 0.76.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The age is 63. The gender is 1. The impluse is 101. The pressurehight is 142. The pressurelow is 96. The glucose is 228.0. The kcm is 2.47. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The age is 42. The gender is 1. The impluse is 81. The pressurehight is 150. The pressurelow is 51. The glucose is 101.0. The kcm is 1.41. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The age is 53. The gender is 1. The impluse is 51. The pressurehight is 118. The pressurelow is 50. The glucose is 60.0. The kcm is 1.78. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The age is 47. The gender is 1. The impluse is 71. The pressurehight is 117. The pressurelow is 61. The glucose is 140.0. The kcm is 4.39. The troponin is 1.37.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The age is 57. The gender is 1. The impluse is 56. The pressurehight is 93. The pressurelow is 65. The glucose is 133.0. The kcm is 16.62. The troponin is 0.02.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The age is 64. The gender is 0. The impluse is 63. The pressurehight is 104. The pressurelow is 87. The glucose is 227.0. The kcm is 0.49. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The age is 74. The gender is 0. The impluse is 57. The pressurehight is 142. The pressurelow is 77. The glucose is 182.0. The kcm is 21.04. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The age is 67. The gender is 1. The impluse is 74. The pressurehight is 117. The pressurelow is 42. The glucose is 101.0. The kcm is 3.7. The troponin is 0.07.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The age is 51. The gender is 1. The impluse is 92. The pressurehight is 147. The pressurelow is 78. The glucose is 88.0. The kcm is 4.08. The troponin is 0.22.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The age is 67. The gender is 0. The impluse is 84. The pressurehight is 118. The pressurelow is 68. The glucose is 98.0. The kcm is 1.46. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The age is 45. The gender is 1. The impluse is 72. The pressurehight is 154. The pressurelow is 67. The glucose is 98.0. The kcm is 16.08. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The age is 62. The gender is 1. The impluse is 70. The pressurehight is 175. The pressurelow is 92. The glucose is 107.0. The kcm is 0.96. The troponin is 2.73.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The age is 23. The gender is 1. The impluse is 82. The pressurehight is 138. The pressurelow is 82. The glucose is 89.0. The kcm is 1.46. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The age is 60. The gender is 1. The impluse is 112. The pressurehight is 115. The pressurelow is 69. The glucose is 87.0. The kcm is 5.43. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The age is 50. The gender is 0. The impluse is 72. The pressurehight is 91. The pressurelow is 70. The glucose is 147.0. The kcm is 2.74. The troponin is 0.06.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The age is 74. The gender is 1. The impluse is 51. The pressurehight is 143. The pressurelow is 75. The glucose is 96.0. The kcm is 2.05. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The age is 70. The gender is 1. The impluse is 56. The pressurehight is 171. The pressurelow is 56. The glucose is 185.0. The kcm is 63.13. The troponin is 0.71.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The age is 73. The gender is 0. The impluse is 82. The pressurehight is 130. The pressurelow is 72. The glucose is 79.0. The kcm is 1.4. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The age is 40. The gender is 1. The impluse is 78. The pressurehight is 101. The pressurelow is 54. The glucose is 108.0. The kcm is 31.4. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The age is 68. The gender is 1. The impluse is 102. The pressurehight is 130. The pressurelow is 83. The glucose is 271.0. The kcm is 2.63. The troponin is 2.57.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The age is 52. The gender is 1. The impluse is 73. The pressurehight is 161. The pressurelow is 90. The glucose is 77.0. The kcm is 1.26. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The age is 68. The gender is 1. The impluse is 65. The pressurehight is 112. The pressurelow is 58. The glucose is 134.0. The kcm is 7.47. The troponin is 0.02.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The age is 82. The gender is 0. The impluse is 88. The pressurehight is 152. The pressurelow is 87. The glucose is 99.0. The kcm is 1.21. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The age is 64. The gender is 1. The impluse is 70. The pressurehight is 120. The pressurelow is 55. The glucose is 270.0. The kcm is 13.87. The troponin is 0.12.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The age is 43. The gender is 1. The impluse is 75. The pressurehight is 157. The pressurelow is 87. The glucose is 74.0. The kcm is 4.2. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The age is 53. The gender is 1. The impluse is 66. The pressurehight is 112. The pressurelow is 74. The glucose is 302.0. The kcm is 1.69. The troponin is 0.1.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The age is 65. The gender is 1. The impluse is 75. The pressurehight is 98. The pressurelow is 53. The glucose is 407.0. The kcm is 1.82. The troponin is 0.04.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The age is 65. The gender is 1. The impluse is 70. The pressurehight is 117. The pressurelow is 61. The glucose is 84.0. The kcm is 1.58. The troponin is 0.4.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The age is 44. The gender is 1. The impluse is 71. The pressurehight is 143. The pressurelow is 71. The glucose is 104.0. The kcm is 1.19. The troponin is 0.07.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The age is 48. The gender is 1. The impluse is 60. The pressurehight is 113. The pressurelow is 52. The glucose is 100.0. The kcm is 43.06. The troponin is 0.0.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The age is 103. The gender is 0. The impluse is 86. The pressurehight is 146. The pressurelow is 92. The glucose is 120.0. The kcm is 69.32. The troponin is 0.06.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The age is 48. The gender is 1. The impluse is 73. The pressurehight is 138. The pressurelow is 79. The glucose is 100.0. The kcm is 1.29. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The age is 35. The gender is 1. The impluse is 63. The pressurehight is 123. The pressurelow is 82. The glucose is 94.0. The kcm is 1.21. The troponin is 0.08.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The age is 50. The gender is 1. The impluse is 96. The pressurehight is 105. The pressurelow is 70. The glucose is 103.0. The kcm is 16.95. The troponin is 0.0.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The age is 72. The gender is 0. The impluse is 81. The pressurehight is 125. The pressurelow is 69. The glucose is 155.0. The kcm is 6.3. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The age is 47. The gender is 1. The impluse is 70. The pressurehight is 149. The pressurelow is 79. The glucose is 82.0. The kcm is 3.33. The troponin is 0.94.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The age is 58. The gender is 1. The impluse is 80. The pressurehight is 109. The pressurelow is 67. The glucose is 150.0. The kcm is 6.19. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The age is 61. The gender is 1. The impluse is 63. The pressurehight is 104. The pressurelow is 63. The glucose is 193.0. The kcm is 4.87. The troponin is 0.05.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The age is 35. The gender is 0. The impluse is 90. The pressurehight is 150. The pressurelow is 84. The glucose is 90.0. The kcm is 2.67. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The age is 86. The gender is 0. The impluse is 40. The pressurehight is 179. The pressurelow is 68. The glucose is 147.0. The kcm is 5.22. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The age is 60. The gender is 0. The impluse is 72. The pressurehight is 104. The pressurelow is 65. The glucose is 181.0. The kcm is 66.32. The troponin is 0.04.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The age is 65. The gender is 1. The impluse is 67. The pressurehight is 177. The pressurelow is 105. The glucose is 120.0. The kcm is 3.68. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The age is 65. The gender is 0. The impluse is 72. The pressurehight is 100. The pressurelow is 57. The glucose is 96.0. The kcm is 144.9. The troponin is 0.03.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The age is 43. The gender is 0. The impluse is 72. The pressurehight is 107. The pressurelow is 86. The glucose is 67.0. The kcm is 2.26. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The age is 60. The gender is 1. The impluse is 68. The pressurehight is 42. The pressurelow is 64. The glucose is 106.0. The kcm is 0.88. The troponin is 0.43.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The age is 65. The gender is 1. The impluse is 80. The pressurehight is 150. The pressurelow is 78. The glucose is 108.0. The kcm is 1.47. The troponin is 1.25.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The age is 70. The gender is 1. The impluse is 87. The pressurehight is 148. The pressurelow is 89. The glucose is 80.0. The kcm is 7.06. The troponin is 0.0.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The age is 60. The gender is 0. The impluse is 83. The pressurehight is 104. The pressurelow is 57. The glucose is 87.0. The kcm is 104.3. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The age is 67. The gender is 0. The impluse is 62. The pressurehight is 109. The pressurelow is 63. The glucose is 362.0. The kcm is 1.73. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The age is 27. The gender is 1. The impluse is 93. The pressurehight is 105. The pressurelow is 71. The glucose is 105.0. The kcm is 2.73. The troponin is 0.46.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The age is 61. The gender is 1. The impluse is 69. The pressurehight is 148. The pressurelow is 72. The glucose is 95.0. The kcm is 1.48. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The age is 56. The gender is 1. The impluse is 93. The pressurehight is 105. The pressurelow is 71. The glucose is 190.0. The kcm is 4.16. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The age is 60. The gender is 0. The impluse is 64. The pressurehight is 113. The pressurelow is 64. The glucose is 293.0. The kcm is 1.63. The troponin is 2.87.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The age is 68. The gender is 0. The impluse is 67. The pressurehight is 124. The pressurelow is 62. The glucose is 87.0. The kcm is 3.14. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The age is 55. The gender is 0. The impluse is 64. The pressurehight is 121. The pressurelow is 58. The glucose is 103.0. The kcm is 13.98. The troponin is 0.87.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The age is 55. The gender is 1. The impluse is 60. The pressurehight is 145. The pressurelow is 67. The glucose is 175.0. The kcm is 1.96. The troponin is 0.85.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The age is 68. The gender is 1. The impluse is 82. The pressurehight is 80. The pressurelow is 42. The glucose is 89.0. The kcm is 1.2. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The age is 78. The gender is 0. The impluse is 52. The pressurehight is 125. The pressurelow is 68. The glucose is 103.0. The kcm is 33.7. The troponin is 3.34.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The age is 60. The gender is 0. The impluse is 61. The pressurehight is 99. The pressurelow is 62. The glucose is 92.0. The kcm is 43.83. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The age is 51. The gender is 1. The impluse is 74. The pressurehight is 118. The pressurelow is 78. The glucose is 94.0. The kcm is 1.32. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The age is 58. The gender is 0. The impluse is 91. The pressurehight is 120. The pressurelow is 80. The glucose is 177.0. The kcm is 18.15. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The age is 51. The gender is 1. The impluse is 91. The pressurehight is 121. The pressurelow is 82. The glucose is 185.0. The kcm is 2.02. The troponin is 0.02.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The age is 53. The gender is 1. The impluse is 61. The pressurehight is 119. The pressurelow is 75. The glucose is 115.0. The kcm is 6.67. The troponin is 0.03.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The age is 71. The gender is 0. The impluse is 67. The pressurehight is 150. The pressurelow is 70. The glucose is 131.0. The kcm is 4.73. The troponin is 0.03.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The age is 41. The gender is 1. The impluse is 58. The pressurehight is 93. The pressurelow is 48. The glucose is 122.0. The kcm is 3.59. The troponin is 0.05.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The age is 74. The gender is 1. The impluse is 77. The pressurehight is 153. The pressurelow is 76. The glucose is 166.0. The kcm is 2.05. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The age is 44. The gender is 0. The impluse is 67. The pressurehight is 192. The pressurelow is 56. The glucose is 94.0. The kcm is 0.72. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The age is 55. The gender is 1. The impluse is 89. The pressurehight is 126. The pressurelow is 64. The glucose is 92.0. The kcm is 3.78. The troponin is 0.02.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The age is 41. The gender is 1. The impluse is 92. The pressurehight is 147. The pressurelow is 78. The glucose is 155.0. The kcm is 7.01. The troponin is 0.0.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The age is 43. The gender is 0. The impluse is 75. The pressurehight is 150. The pressurelow is 95. The glucose is 103.0. The kcm is 81.84. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The age is 63. The gender is 1. The impluse is 73. The pressurehight is 115. The pressurelow is 72. The glucose is 191.0. The kcm is 24.64. The troponin is 0.02.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The age is 63. The gender is 1. The impluse is 63. The pressurehight is 104. The pressurelow is 87. The glucose is 81.0. The kcm is 8.47. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
90
+ {"text": "The age is 50. The gender is 1. The impluse is 66. The pressurehight is 112. The pressurelow is 74. The glucose is 146.0. The kcm is 10.11. The troponin is 1.4.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
91
+ {"text": "The age is 65. The gender is 1. The impluse is 61. The pressurehight is 96. The pressurelow is 48. The glucose is 94.0. The kcm is 0.86. The troponin is 0.4.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
92
+ {"text": "The age is 30. The gender is 0. The impluse is 68. The pressurehight is 91. The pressurelow is 61. The glucose is 93.0. The kcm is 3.93. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
93
+ {"text": "The age is 56. The gender is 1. The impluse is 79. The pressurehight is 139. The pressurelow is 89. The glucose is 177.0. The kcm is 0.74. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
94
+ {"text": "The age is 34. The gender is 1. The impluse is 63. The pressurehight is 153. The pressurelow is 66. The glucose is 301.0. The kcm is 3.85. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
95
+ {"text": "The age is 56. The gender is 1. The impluse is 70. The pressurehight is 113. The pressurelow is 55. The glucose is 105.0. The kcm is 0.73. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
96
+ {"text": "The age is 60. The gender is 0. The impluse is 78. The pressurehight is 109. The pressurelow is 69. The glucose is 230.0. The kcm is 19.47. The troponin is 0.0.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
97
+ {"text": "The age is 62. The gender is 1. The impluse is 71. The pressurehight is 140. The pressurelow is 71. The glucose is 125.0. The kcm is 1.72. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
98
+ {"text": "The age is 21. The gender is 1. The impluse is 85. The pressurehight is 204. The pressurelow is 84. The glucose is 93.0. The kcm is 2.71. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
99
+ {"text": "The age is 72. The gender is 0. The impluse is 83. The pressurehight is 123. The pressurelow is 67. The glucose is 283.0. The kcm is 2.12. The troponin is 0.03.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
100
+ {"text": "The age is 58. The gender is 1. The impluse is 82. The pressurehight is 164. The pressurelow is 90. The glucose is 162.0. The kcm is 0.7. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
101
+ {"text": "The age is 42. The gender is 1. The impluse is 84. The pressurehight is 125. The pressurelow is 55. The glucose is 150.0. The kcm is 1.68. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
102
+ {"text": "The age is 68. The gender is 1. The impluse is 90. The pressurehight is 111. The pressurelow is 65. The glucose is 134.0. The kcm is 1.65. The troponin is 0.02.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
103
+ {"text": "The age is 46. The gender is 1. The impluse is 77. The pressurehight is 153. The pressurelow is 76. The glucose is 96.0. The kcm is 1.33. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
104
+ {"text": "The age is 72. The gender is 0. The impluse is 75. The pressurehight is 160. The pressurelow is 70. The glucose is 130.0. The kcm is 8.54. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
105
+ {"text": "The age is 51. The gender is 1. The impluse is 94. The pressurehight is 157. The pressurelow is 79. The glucose is 134.0. The kcm is 50.89. The troponin is 1.77.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
106
+ {"text": "The age is 63. The gender is 1. The impluse is 81. The pressurehight is 150. The pressurelow is 51. The glucose is 195.0. The kcm is 5.57. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
107
+ {"text": "The age is 50. The gender is 1. The impluse is 75. The pressurehight is 116. The pressurelow is 71. The glucose is 126.0. The kcm is 2.24. The troponin is 0.05.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
108
+ {"text": "The age is 66. The gender is 0. The impluse is 80. The pressurehight is 135. The pressurelow is 75. The glucose is 331.0. The kcm is 1.21. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
109
+ {"text": "The age is 47. The gender is 1. The impluse is 60. The pressurehight is 199. The pressurelow is 99. The glucose is 123.0. The kcm is 1.16. The troponin is 0.82.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
110
+ {"text": "The age is 30. The gender is 1. The impluse is 112. The pressurehight is 115. The pressurelow is 69. The glucose is 109.0. The kcm is 1.52. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
111
+ {"text": "The age is 35. The gender is 1. The impluse is 61. The pressurehight is 125. The pressurelow is 80. The glucose is 100.0. The kcm is 7.66. The troponin is 0.0.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
112
+ {"text": "The age is 85. The gender is 1. The impluse is 80. The pressurehight is 129. The pressurelow is 89. The glucose is 81.0. The kcm is 1.39. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
113
+ {"text": "The age is 63. The gender is 1. The impluse is 77. The pressurehight is 100. The pressurelow is 68. The glucose is 110.0. The kcm is 2.79. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
114
+ {"text": "The age is 63. The gender is 1. The impluse is 55. The pressurehight is 109. The pressurelow is 76. The glucose is 217.0. The kcm is 2.19. The troponin is 0.02.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
115
+ {"text": "The age is 50. The gender is 1. The impluse is 63. The pressurehight is 98. The pressurelow is 57. The glucose is 111.0. The kcm is 2.55. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
116
+ {"text": "The age is 61. The gender is 1. The impluse is 102. The pressurehight is 130. The pressurelow is 83. The glucose is 201.0. The kcm is 1.24. The troponin is 0.09.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
117
+ {"text": "The age is 65. The gender is 1. The impluse is 88. The pressurehight is 119. The pressurelow is 66. The glucose is 129.0. The kcm is 3.04. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
118
+ {"text": "The age is 75. The gender is 1. The impluse is 69. The pressurehight is 103. The pressurelow is 68. The glucose is 136.0. The kcm is 1.81. The troponin is 0.02.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
119
+ {"text": "The age is 55. The gender is 1. The impluse is 55. The pressurehight is 109. The pressurelow is 76. The glucose is 130.0. The kcm is 9.51. The troponin is 0.64.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
120
+ {"text": "The age is 65. The gender is 1. The impluse is 36. The pressurehight is 106. The pressurelow is 58. The glucose is 88.0. The kcm is 1.25. The troponin is 0.09.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
121
+ {"text": "The age is 47. The gender is 1. The impluse is 70. The pressurehight is 120. The pressurelow is 55. The glucose is 161.0. The kcm is 1.13. The troponin is 0.94.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
122
+ {"text": "The age is 62. The gender is 1. The impluse is 105. The pressurehight is 128. The pressurelow is 80. The glucose is 167.0. The kcm is 3.29. The troponin is 0.03.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
123
+ {"text": "The age is 70. The gender is 1. The impluse is 67. The pressurehight is 87. The pressurelow is 38. The glucose is 88.0. The kcm is 0.82. The troponin is 0.11.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
124
+ {"text": "The age is 60. The gender is 1. The impluse is 134. The pressurehight is 111. The pressurelow is 69. The glucose is 163.0. The kcm is 3.08. The troponin is 0.03.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
125
+ {"text": "The age is 68. The gender is 0. The impluse is 82. The pressurehight is 91. The pressurelow is 56. The glucose is 99.0. The kcm is 1.53. The troponin is 0.29.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
126
+ {"text": "The age is 47. The gender is 0. The impluse is 66. The pressurehight is 134. The pressurelow is 57. The glucose is 279.0. The kcm is 300.0. The troponin is 0.01.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
127
+ {"text": "The age is 56. The gender is 1. The impluse is 58. The pressurehight is 145. The pressurelow is 62. The glucose is 188.0. The kcm is 3.04. The troponin is 0.01.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
128
+ {"text": "The age is 50. The gender is 1. The impluse is 64. The pressurehight is 110. The pressurelow is 58. The glucose is 90.0. The kcm is 0.99. The troponin is 0.86.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
129
+ {"text": "The age is 63. The gender is 1. The impluse is 56. The pressurehight is 121. The pressurelow is 60. The glucose is 98.0. The kcm is 7.52. The troponin is 1.18.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
130
+ {"text": "The age is 60. The gender is 1. The impluse is 98. The pressurehight is 110. The pressurelow is 76. The glucose is 99.0. The kcm is 3.17. The troponin is 0.03.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
131
+ {"text": "The age is 38. The gender is 0. The impluse is 60. The pressurehight is 125. The pressurelow is 88. The glucose is 90.0. The kcm is 1.04. The troponin is 0.0.", "label": "negative", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
132
+ {"text": "The age is 65. The gender is 1. The impluse is 70. The pressurehight is 118. The pressurelow is 72. The glucose is 222.0. The kcm is 2.0. The troponin is 0.18.", "label": "positive", "dataset": "bharath011-heart-disease-classification-dataset", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/bharath011-heart-disease-classification-dataset/train.csv ADDED
@@ -0,0 +1,1188 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ age,gender,impluse,pressurehight,pressurelow,glucose,kcm,troponin,class
2
+ 53,1,73,131,68,100,0.79,0.61,positive
3
+ 28,0,86,165,83,100,2.39,0.0,negative
4
+ 60,1,83,126,76,246,2.9,0.02,positive
5
+ 50,1,88,134,86,100,5.39,2.63,positive
6
+ 50,1,66,136,78,130,2.11,0.02,positive
7
+ 55,1,67,192,56,120,2.16,0.01,negative
8
+ 47,1,57,140,52,87,12.26,0.01,positive
9
+ 29,1,88,155,85,107,5.51,0.0,negative
10
+ 37,1,66,119,74,107,1.33,0.0,negative
11
+ 60,1,113,131,63,117,1.1,0.14,positive
12
+ 31,1,71,131,73,96,1.05,0.01,negative
13
+ 70,0,96,147,84,160,1.49,0.03,positive
14
+ 66,1,76,133,75,99,14.22,0.02,positive
15
+ 60,0,60,209,75,500,1.49,0.02,positive
16
+ 62,1,60,140,80,219,9.35,0.01,positive
17
+ 52,1,64,119,73,82,60.68,0.01,positive
18
+ 63,1,66,135,55,166,0.49,10.0,negative
19
+ 55,1,83,169,78,109,1.49,0.03,positive
20
+ 73,1,80,150,90,109,70.89,0.01,positive
21
+ 55,1,65,155,75,107,1.47,0.31,positive
22
+ 61,1,64,83,60,112,0.68,0.01,negative
23
+ 45,0,79,156,82,111,1.73,0.01,negative
24
+ 19,0,62,114,69,240,300.0,0.0,positive
25
+ 53,1,66,94,63,202,2.84,0.0,negative
26
+ 65,1,63,150,95,122,6.9,0.99,positive
27
+ 61,1,60,202,88,111,0.63,6.05,positive
28
+ 67,1,77,122,58,368,2.35,0.01,negative
29
+ 80,0,59,137,81,93,2.41,0.01,negative
30
+ 50,0,52,125,68,263,3.39,0.0,negative
31
+ 44,1,78,145,81,140,2.91,0.0,negative
32
+ 70,1,83,126,76,103,0.53,1.01,positive
33
+ 35,1,60,109,65,222,3.27,0.0,negative
34
+ 60,1,70,120,55,82,4.49,0.04,positive
35
+ 45,0,70,100,68,96,0.61,0.0,negative
36
+ 45,1,76,133,75,238,1.83,0.0,negative
37
+ 49,1,78,132,85,103,49.8,0.25,positive
38
+ 40,1,64,160,77,101,6.63,0.0,positive
39
+ 44,1,60,156,60,112,3.63,0.01,negative
40
+ 46,1,78,115,65,123,4.45,0.01,negative
41
+ 40,0,61,160,95,123,11.87,0.03,positive
42
+ 60,1,100,170,103,217,3.32,0.01,negative
43
+ 60,1,64,140,90,230,1.25,0.01,negative
44
+ 44,0,91,100,71,116,7.02,0.01,negative
45
+ 50,1,85,168,104,126,6.25,0.64,positive
46
+ 40,1,78,95,59,198,17.3,0.0,positive
47
+ 53,0,77,105,58,92,0.69,0.01,negative
48
+ 65,1,62,76,55,113,1.67,0.02,positive
49
+ 55,1,55,120,79,94,1.42,0.35,positive
50
+ 66,1,70,116,62,184,1.08,0.01,negative
51
+ 29,1,84,87,48,104,1.58,0.0,negative
52
+ 76,1,134,111,69,92,2.37,0.03,positive
53
+ 54,0,94,122,67,97,1.42,0.01,negative
54
+ 66,1,111,125,71,114,0.75,0.02,positive
55
+ 70,0,63,105,64,217,1.8,10.0,positive
56
+ 37,0,83,102,68,104,1.35,0.01,negative
57
+ 57,1,78,101,54,115,0.83,0.01,negative
58
+ 65,1,76,133,75,125,4.57,0.55,positive
59
+ 29,0,74,223,118,86,4.93,0.0,positive
60
+ 54,1,70,117,76,285,1.82,0.01,negative
61
+ 60,0,79,120,68,162,0.67,5.48,positive
62
+ 48,0,69,103,68,115,8.34,0.0,positive
63
+ 58,0,90,198,48,206,2.73,0.0,negative
64
+ 74,1,91,91,56,96,1.01,0.03,positive
65
+ 60,0,77,130,79,94,2.86,0.01,negative
66
+ 54,1,60,124,58,169,2.99,0.02,positive
67
+ 60,0,111,125,71,151,3.53,0.0,negative
68
+ 28,0,79,95,52,200,4.8,0.0,negative
69
+ 65,0,69,120,80,117,2.85,1.96,positive
70
+ 47,1,93,105,71,113,1.73,0.43,positive
71
+ 47,1,76,120,70,319,2.57,0.0,negative
72
+ 58,0,80,167,97,92,1.67,0.02,positive
73
+ 55,0,96,105,70,66,300.0,0.0,positive
74
+ 50,1,90,125,73,96,2.41,0.01,negative
75
+ 21,0,62,76,55,111,3.11,0.0,negative
76
+ 66,0,57,140,52,116,1.13,0.01,negative
77
+ 31,0,81,125,69,106,13.92,0.01,positive
78
+ 65,0,68,123,70,201,2.22,0.0,negative
79
+ 30,1,60,202,88,197,12.89,0.0,positive
80
+ 38,1,83,126,76,221,1.11,0.01,negative
81
+ 39,1,103,126,75,166,1.79,0.79,positive
82
+ 60,0,67,130,80,114,1.08,0.01,negative
83
+ 63,1,82,164,90,95,2.6,0.51,positive
84
+ 58,1,92,147,78,305,36.53,1.32,positive
85
+ 75,0,80,108,79,150,1.69,0.02,positive
86
+ 60,0,82,103,58,102,1.74,0.01,negative
87
+ 63,1,64,107,69,112,101.9,0.02,positive
88
+ 45,0,86,70,92,90,4.76,0.0,negative
89
+ 63,1,60,214,82,87,300.0,2.37,positive
90
+ 55,1,71,137,72,94,6.3,0.01,positive
91
+ 68,0,85,125,85,114,17.61,0.01,positive
92
+ 63,1,107,140,76,336,3.08,0.24,positive
93
+ 63,1,64,122,60,188,2.19,0.05,positive
94
+ 52,1,78,115,65,109,8.12,0.01,positive
95
+ 60,0,94,157,79,129,0.73,0.01,negative
96
+ 27,1,94,157,79,141,6.25,0.0,positive
97
+ 59,1,81,150,51,117,1.51,1.55,positive
98
+ 60,1,94,98,46,215,2.85,0.22,positive
99
+ 51,1,74,223,118,105,1.6,0.0,negative
100
+ 50,0,79,92,55,415,16.95,0.01,positive
101
+ 45,1,89,100,50,147,96.08,0.01,positive
102
+ 60,0,64,119,73,100,1.37,0.03,positive
103
+ 75,0,82,91,56,97,3.59,0.01,negative
104
+ 51,1,103,126,75,188,1.6,0.01,negative
105
+ 83,1,61,117,78,122,1.62,0.01,negative
106
+ 56,1,60,125,88,95,2.12,0.04,positive
107
+ 64,1,85,143,73,150,1.68,0.32,positive
108
+ 68,1,67,191,110,165,2.58,0.01,negative
109
+ 63,1,103,126,75,92,14.01,0.2,positive
110
+ 65,0,70,150,75,114,0.96,0.01,negative
111
+ 46,1,64,110,58,104,2.35,0.91,positive
112
+ 40,1,95,101,76,167,3.57,0.03,positive
113
+ 53,0,86,165,83,99,1.41,0.01,negative
114
+ 34,1,60,97,44,75,5.15,0.02,positive
115
+ 50,1,83,140,81,244,3.27,2.23,positive
116
+ 54,1,64,122,60,87,5.46,0.02,positive
117
+ 55,1,67,126,68,277,0.65,0.01,negative
118
+ 60,1,64,109,60,265,25.63,0.1,positive
119
+ 52,1,100,119,66,127,11.73,0.02,positive
120
+ 44,0,67,177,105,169,1.11,0.01,negative
121
+ 31,1,72,117,49,184,300.0,0.01,positive
122
+ 56,0,60,145,62,105,0.93,0.01,negative
123
+ 62,1,81,150,75,130,3.5,0.02,positive
124
+ 60,1,60,132,88,98,0.61,0.01,negative
125
+ 70,1,60,104,60,500,5.23,0.1,positive
126
+ 66,1,61,113,65,96,1.25,0.02,positive
127
+ 36,1,81,135,81,93,3.07,0.01,negative
128
+ 86,1,81,125,79,114,2.24,0.02,positive
129
+ 73,0,68,123,70,94,9.96,0.01,positive
130
+ 63,1,82,135,80,106,12.22,0.0,positive
131
+ 70,0,94,144,79,89,1.83,0.01,negative
132
+ 37,1,66,140,52,269,10.18,0.0,positive
133
+ 79,0,90,120,68,101,1.5,0.01,negative
134
+ 59,1,63,110,59,221,4.03,0.03,positive
135
+ 42,1,74,118,78,84,1.19,0.0,negative
136
+ 58,1,103,78,92,109,3.84,0.01,negative
137
+ 60,1,80,135,75,94,147.4,3.85,positive
138
+ 50,0,85,119,76,130,16.1,0.01,positive
139
+ 31,1,81,130,65,322,7.3,0.01,positive
140
+ 65,1,62,76,55,107,1.68,0.02,positive
141
+ 40,1,89,141,93,140,2.86,0.01,negative
142
+ 41,1,86,113,68,100,4.58,0.0,negative
143
+ 68,0,82,80,80,159,1.06,0.08,positive
144
+ 64,0,80,157,80,425,4.24,0.04,positive
145
+ 30,1,72,100,57,89,19.26,0.03,positive
146
+ 63,1,91,121,82,93,4.22,0.01,positive
147
+ 50,1,82,120,80,202,201.7,2.63,positive
148
+ 60,0,60,144,54,121,4.82,0.07,positive
149
+ 55,1,76,115,51,99,2.73,0.1,positive
150
+ 56,0,82,80,80,77,6.38,0.01,positive
151
+ 53,1,60,113,52,100,2.68,0.01,positive
152
+ 63,1,89,87,53,81,0.96,0.01,positive
153
+ 51,0,74,120,70,382,5.16,0.0,positive
154
+ 65,0,62,101,64,89,2.27,0.6,positive
155
+ 54,0,82,135,80,94,4.39,0.01,negative
156
+ 34,1,96,105,75,136,15.23,0.0,positive
157
+ 52,1,96,132,80,221,4.76,0.02,positive
158
+ 60,1,62,115,75,125,1.64,1.79,positive
159
+ 56,1,75,157,67,104,2.41,0.45,positive
160
+ 59,0,62,76,55,130,2.21,0.14,positive
161
+ 78,0,61,136,70,111,1.09,0.08,positive
162
+ 43,0,68,116,74,81,1.64,0.01,positive
163
+ 63,1,74,223,118,161,2.97,0.63,positive
164
+ 73,1,59,100,56,92,4.36,0.01,negative
165
+ 44,0,117,112,74,113,2.64,0.01,negative
166
+ 38,0,89,111,57,94,1.96,0.0,negative
167
+ 55,0,68,116,74,143,1.34,0.09,positive
168
+ 43,1,90,124,100,110,9.71,0.01,positive
169
+ 60,1,100,117,57,111,1.9,0.01,negative
170
+ 58,0,81,146,84,195,1.0,0.01,negative
171
+ 40,0,75,148,73,117,3.32,0.01,negative
172
+ 50,0,92,167,105,136,0.9,0.02,positive
173
+ 68,0,84,160,79,171,2.83,0.83,positive
174
+ 65,1,74,140,85,106,4.35,10.0,positive
175
+ 50,1,73,135,79,238,1.87,0.01,negative
176
+ 71,0,89,135,64,322,2.0,0.01,negative
177
+ 61,1,90,150,84,159,3.75,1.43,positive
178
+ 36,0,60,154,81,239,19.01,0.04,positive
179
+ 45,1,83,150,94,334,1.63,0.05,positive
180
+ 22,1,56,126,63,128,5.41,0.0,negative
181
+ 63,1,113,131,63,66,6.13,0.01,negative
182
+ 62,0,90,113,72,92,1.37,0.98,positive
183
+ 60,1,78,96,57,116,264.4,0.68,positive
184
+ 41,0,71,91,57,92,1.73,0.0,negative
185
+ 54,1,125,131,82,95,1.31,8.3,positive
186
+ 40,1,81,138,93,342,4.8,0.0,negative
187
+ 75,0,59,125,72,102,4.28,0.01,negative
188
+ 55,1,81,150,51,138,17.22,2.8,positive
189
+ 44,1,73,128,63,408,2.39,0.01,negative
190
+ 60,0,70,120,60,82,1.21,0.04,positive
191
+ 43,1,90,95,50,118,1.33,0.54,positive
192
+ 82,1,62,126,65,137,39.53,0.01,positive
193
+ 60,0,67,130,80,216,5.85,0.03,positive
194
+ 50,1,66,140,52,89,3.23,0.0,negative
195
+ 58,1,64,160,77,328,1.11,1.5,positive
196
+ 66,1,62,105,70,290,300.0,0.02,positive
197
+ 67,1,64,112,65,100,1.83,0.01,negative
198
+ 70,0,64,122,60,150,38.72,0.14,positive
199
+ 60,1,100,178,84,99,2.05,1.18,positive
200
+ 40,0,83,130,75,113,0.78,0.01,negative
201
+ 63,1,64,106,68,85,2.39,0.01,negative
202
+ 55,0,80,117,83,200,0.78,0.05,positive
203
+ 80,0,76,150,81,110,2.21,0.03,positive
204
+ 60,0,57,101,59,422,1.65,0.01,negative
205
+ 42,1,20,110,90,108,4.93,0.01,negative
206
+ 32,0,40,179,68,102,0.71,0.0,negative
207
+ 50,1,57,138,75,294,4.61,0.0,negative
208
+ 48,0,64,140,90,168,3.53,0.03,positive
209
+ 36,1,92,147,78,77,4.58,0.0,negative
210
+ 48,0,65,136,88,104,4.55,0.01,negative
211
+ 33,1,64,154,97,103,2.63,0.01,negative
212
+ 41,1,108,100,71,105,3.86,0.01,negative
213
+ 49,1,94,95,65,157,3.11,1.6,positive
214
+ 51,0,85,140,82,101,1.69,0.01,negative
215
+ 64,1,58,156,76,82,6.78,0.01,positive
216
+ 49,1,75,116,71,98,37.69,10.0,positive
217
+ 70,1,103,170,90,104,0.94,0.01,negative
218
+ 41,1,74,95,53,145,5.1,0.02,positive
219
+ 38,1,82,103,58,118,1.67,0.0,negative
220
+ 63,0,114,152,91,200,3.35,0.01,negative
221
+ 60,1,53,102,61,303,14.07,0.82,positive
222
+ 67,1,85,115,75,92,33.95,0.03,positive
223
+ 55,1,64,112,65,300,1.08,0.0,negative
224
+ 37,0,76,109,85,219,2.55,0.0,negative
225
+ 26,1,54,104,62,88,14.21,0.0,positive
226
+ 78,0,73,108,61,95,10.42,0.01,positive
227
+ 19,1,68,116,74,99,0.61,0.0,negative
228
+ 70,1,74,156,74,140,1.77,0.12,positive
229
+ 38,0,88,104,62,276,1.93,0.08,positive
230
+ 79,1,74,155,77,168,2.84,0.02,positive
231
+ 45,1,64,120,68,97,1.01,0.12,positive
232
+ 63,0,96,112,62,244,1.95,0.0,negative
233
+ 58,1,75,116,73,108,27.31,0.05,positive
234
+ 25,1,77,175,98,109,2.7,0.0,negative
235
+ 34,0,80,109,67,225,3.76,0.01,negative
236
+ 86,1,94,105,81,87,177.9,0.03,positive
237
+ 56,1,74,95,53,98,1.72,0.04,positive
238
+ 45,1,1111,141,95,109,1.33,1.01,positive
239
+ 56,0,71,119,76,321,43.51,0.0,positive
240
+ 51,1,83,102,68,157,2.5,0.04,positive
241
+ 50,1,82,120,80,90,31.06,0.03,positive
242
+ 50,1,93,105,71,174,3.95,1.1,positive
243
+ 54,1,58,117,68,443,5.8,0.36,positive
244
+ 67,0,81,150,75,80,4.8,0.01,negative
245
+ 57,1,95,129,77,251,4.34,10.3,positive
246
+ 38,1,77,130,79,104,1.41,0.0,negative
247
+ 60,1,81,113,61,122,21.61,1.24,positive
248
+ 61,1,52,157,75,76,5.83,0.03,positive
249
+ 65,1,60,166,82,117,4.24,0.0,negative
250
+ 70,1,112,170,104,111,1.2,1.38,positive
251
+ 72,1,64,112,62,112,2.04,0.03,positive
252
+ 37,1,82,121,62,187,4.84,0.0,negative
253
+ 50,1,67,101,69,177,4.67,0.02,positive
254
+ 65,0,78,115,65,116,2.11,0.01,negative
255
+ 40,1,61,102,64,92,4.14,0.0,negative
256
+ 26,1,70,92,55,108,1.45,0.0,negative
257
+ 60,0,70,118,72,103,39.63,0.04,positive
258
+ 50,1,60,150,83,125,2.67,0.0,negative
259
+ 47,1,72,117,49,116,24.2,0.0,positive
260
+ 48,0,61,124,62,227,2.49,0.0,negative
261
+ 58,1,90,150,84,94,1.43,0.42,positive
262
+ 43,1,75,116,72,96,2.13,0.0,negative
263
+ 65,1,60,175,88,181,2.69,0.01,negative
264
+ 46,1,100,119,66,114,4.07,0.01,negative
265
+ 53,1,73,135,81,115,165.1,0.01,positive
266
+ 60,0,92,151,78,106,7.73,0.04,positive
267
+ 41,0,103,115,85,171,1.64,0.01,positive
268
+ 70,1,63,170,104,144,2.41,0.02,positive
269
+ 61,1,59,91,55,103,2.94,0.01,negative
270
+ 78,1,77,116,64,104,2.24,0.02,positive
271
+ 68,0,69,94,55,93,3.08,0.01,negative
272
+ 64,1,79,99,55,105,1.36,1.97,positive
273
+ 48,1,61,112,58,101,31.85,0.01,positive
274
+ 71,1,82,80,42,102,1.18,0.01,negative
275
+ 58,0,96,111,74,99,1.29,0.03,positive
276
+ 53,1,80,118,64,147,31.97,0.01,positive
277
+ 22,1,84,160,79,102,2.25,0.01,negative
278
+ 67,0,88,152,87,115,2.02,0.01,negative
279
+ 60,1,90,104,62,88,50.46,0.0,positive
280
+ 60,1,69,94,55,87,0.61,0.02,positive
281
+ 73,0,82,84,54,94,1.57,0.01,negative
282
+ 70,1,74,118,78,165,3.15,0.65,positive
283
+ 55,0,90,120,68,217,1.82,0.02,positive
284
+ 75,0,80,90,41,86,4.71,0.06,positive
285
+ 70,0,111,125,71,98,1.93,0.01,negative
286
+ 64,1,83,140,81,91,1.63,0.02,positive
287
+ 65,0,71,149,64,168,25.36,0.01,positive
288
+ 69,1,97,105,80,121,3.28,3.83,positive
289
+ 71,0,54,123,81,117,2.84,0.01,negative
290
+ 65,1,67,108,76,319,2.38,0.09,positive
291
+ 50,1,101,102,63,114,12.3,0.01,positive
292
+ 20,1,60,156,60,103,5.22,1.84,positive
293
+ 51,1,67,130,80,100,3.18,0.01,negative
294
+ 21,1,94,98,46,296,6.75,1.06,positive
295
+ 72,1,60,178,109,156,17.04,0.63,positive
296
+ 75,0,70,134,58,217,2.82,0.01,positive
297
+ 51,1,82,138,93,106,1.65,0.02,positive
298
+ 66,1,73,125,78,112,2.87,0.03,positive
299
+ 74,1,63,103,61,130,2.4,0.03,positive
300
+ 64,1,65,129,75,406,1.16,0.01,negative
301
+ 38,1,90,120,68,119,99.56,0.0,positive
302
+ 65,1,72,113,64,116,6.75,0.01,positive
303
+ 60,1,81,118,66,87,3.96,0.03,positive
304
+ 74,1,76,120,70,111,1.24,1.17,positive
305
+ 50,1,83,95,70,94,2.42,1.46,positive
306
+ 71,1,90,135,82,91,15.23,0.01,positive
307
+ 63,1,61,122,66,61,2.49,0.03,positive
308
+ 59,1,60,86,50,104,2.35,0.02,positive
309
+ 69,1,119,113,79,102,19.98,0.13,positive
310
+ 41,1,60,104,60,104,9.82,0.0,positive
311
+ 63,1,71,112,68,462,2.54,0.01,negative
312
+ 67,1,61,160,95,100,2.84,0.01,negative
313
+ 54,0,58,130,80,125,3.3,0.01,negative
314
+ 50,0,63,106,61,126,2.13,0.0,negative
315
+ 40,1,69,94,55,147,2.85,0.02,positive
316
+ 86,0,73,114,68,87,1.11,0.78,positive
317
+ 35,1,70,117,76,111,2.16,0.0,negative
318
+ 32,1,72,136,80,111,5.6,0.0,negative
319
+ 60,1,67,113,82,99,1.65,0.06,positive
320
+ 60,1,70,129,59,82,2.84,0.0,negative
321
+ 67,1,77,116,69,113,7.44,0.05,positive
322
+ 60,1,60,120,60,126,1.3,0.05,positive
323
+ 58,1,73,160,95,91,1.98,0.05,positive
324
+ 65,1,60,124,100,114,3.35,0.02,positive
325
+ 55,0,75,144,78,133,1.79,0.01,negative
326
+ 71,0,82,164,90,96,3.72,0.02,positive
327
+ 68,1,135,98,60,96,254.4,0.03,positive
328
+ 60,1,65,191,110,131,3.43,0.02,positive
329
+ 48,1,72,150,95,121,0.52,0.01,negative
330
+ 65,1,68,130,70,274,12.41,0.01,positive
331
+ 63,0,75,116,73,95,4.69,0.01,negative
332
+ 29,1,76,157,93,242,4.79,0.0,negative
333
+ 35,1,63,106,61,105,4.79,0.0,negative
334
+ 76,1,84,128,80,105,9.09,2.43,positive
335
+ 64,1,74,148,65,96,2.24,1.5,positive
336
+ 61,1,46,116,59,122,3.42,0.01,negative
337
+ 48,0,78,132,85,122,4.17,0.0,negative
338
+ 79,1,87,80,50,149,2.79,0.61,positive
339
+ 38,0,90,135,75,108,0.45,0.05,positive
340
+ 38,1,74,111,71,100,1.0,0.01,negative
341
+ 42,0,70,117,76,100,4.24,0.0,negative
342
+ 30,1,63,110,68,107,50.46,0.0,positive
343
+ 42,1,65,150,68,101,2.93,0.0,negative
344
+ 35,1,75,116,72,129,8.95,0.0,positive
345
+ 38,1,60,130,56,197,6.01,0.0,negative
346
+ 60,1,77,154,76,462,2.14,1.33,positive
347
+ 72,0,59,125,72,121,1.33,0.01,negative
348
+ 70,0,72,104,65,154,1.67,1.63,positive
349
+ 55,1,91,120,80,87,14.97,0.09,positive
350
+ 52,0,89,130,80,181,1.95,0.02,positive
351
+ 48,1,76,90,60,100,27.57,0.01,positive
352
+ 50,1,132,125,74,133,3.18,0.35,positive
353
+ 54,1,103,120,83,101,5.8,0.0,negative
354
+ 50,1,63,104,63,269,38.72,0.61,positive
355
+ 72,0,88,155,85,202,64.86,0.02,positive
356
+ 19,0,70,117,76,91,36.24,0.03,positive
357
+ 58,1,69,148,72,169,3.21,1.29,positive
358
+ 43,0,52,125,68,100,0.98,0.01,negative
359
+ 55,1,94,98,46,87,1.93,0.01,negative
360
+ 59,1,67,113,82,83,1.83,2.39,positive
361
+ 65,1,65,137,75,87,1.6,0.09,positive
362
+ 54,1,100,117,57,98,38.72,0.01,positive
363
+ 43,1,80,65,53,88,2.54,0.01,negative
364
+ 24,0,60,144,54,136,4.6,0.0,negative
365
+ 55,1,83,94,80,133,2.43,1.47,positive
366
+ 69,1,74,156,74,135,1.59,0.3,positive
367
+ 65,1,72,130,73,156,3.2,0.08,positive
368
+ 77,0,90,110,65,137,3.12,0.04,positive
369
+ 68,0,62,143,75,102,10.44,0.07,positive
370
+ 25,1,64,153,93,110,3.09,0.1,positive
371
+ 62,0,82,138,93,92,2.53,0.02,positive
372
+ 40,1,80,65,53,139,190.7,0.0,positive
373
+ 64,0,68,91,61,119,2.97,1.53,positive
374
+ 24,1,80,108,79,169,1.76,0.0,negative
375
+ 42,0,65,155,75,387,1.08,0.0,negative
376
+ 28,1,60,104,60,94,2.11,0.0,negative
377
+ 47,0,75,157,87,238,4.84,0.0,negative
378
+ 80,0,89,85,40,97,18.41,0.01,positive
379
+ 50,0,81,130,58,99,6.14,0.0,negative
380
+ 64,1,66,160,83,160,1.8,0.01,negative
381
+ 43,0,64,160,77,191,1.15,0.01,negative
382
+ 70,1,83,102,68,90,2.28,0.86,positive
383
+ 59,1,80,149,75,134,5.41,0.19,positive
384
+ 70,0,112,115,69,141,2.9,0.06,positive
385
+ 75,0,61,130,74,92,3.61,0.01,negative
386
+ 45,1,84,107,55,235,1.61,0.04,positive
387
+ 42,1,75,138,67,107,2.22,0.0,negative
388
+ 73,0,90,95,50,98,300.0,0.01,positive
389
+ 58,1,75,116,71,132,1.98,0.03,positive
390
+ 78,1,62,157,66,106,3.77,0.02,positive
391
+ 58,0,83,94,80,210,0.71,0.01,negative
392
+ 60,1,92,151,78,301,1.6,0.01,negative
393
+ 65,0,73,131,68,128,1.44,0.85,positive
394
+ 44,1,77,153,76,98,3.69,1.44,positive
395
+ 53,1,60,113,52,141,7.19,0.01,positive
396
+ 47,1,125,121,60,89,2.27,0.39,positive
397
+ 64,0,103,157,83,223,0.68,0.05,positive
398
+ 55,1,90,95,50,338,3.04,1.3,positive
399
+ 63,1,68,139,83,104,1.92,1.62,positive
400
+ 53,0,96,147,84,91,1.29,0.02,positive
401
+ 52,1,66,94,63,115,0.72,0.22,positive
402
+ 50,1,74,208,100,244,3.2,0.01,negative
403
+ 66,1,80,154,98,381,2.18,0.02,positive
404
+ 46,1,78,150,76,169,3.43,0.01,negative
405
+ 55,1,81,150,75,226,40.99,0.05,positive
406
+ 60,0,100,170,103,197,3.36,0.01,negative
407
+ 63,0,78,116,60,180,2.58,0.01,negative
408
+ 60,0,60,140,80,140,1.69,0.02,positive
409
+ 42,1,64,121,58,96,1.35,0.01,negative
410
+ 49,0,76,151,97,99,4.66,0.0,negative
411
+ 45,1,103,115,85,113,2.74,0.07,positive
412
+ 70,0,45,130,58,175,2.84,0.05,positive
413
+ 63,1,90,198,48,93,5.02,0.02,positive
414
+ 55,0,60,97,44,98,2.55,0.01,negative
415
+ 55,0,89,141,93,95,7.97,0.03,positive
416
+ 60,1,82,135,80,100,2.59,2.99,positive
417
+ 42,1,60,166,90,90,3.4,0.01,negative
418
+ 44,1,94,91,52,208,1.54,0.0,negative
419
+ 69,1,61,96,48,184,1.74,0.01,negative
420
+ 70,1,64,106,68,240,10.04,1.43,positive
421
+ 60,1,72,104,65,194,4.23,0.19,positive
422
+ 75,0,81,118,66,88,4.55,0.01,negative
423
+ 70,1,83,140,81,110,1.52,0.7,positive
424
+ 63,1,94,150,100,144,2.92,0.01,negative
425
+ 60,1,70,117,61,146,300.0,0.01,positive
426
+ 43,0,89,111,52,97,1.69,0.01,negative
427
+ 55,1,61,90,57,188,1.3,0.11,positive
428
+ 58,0,82,107,57,100,8.4,0.0,positive
429
+ 71,1,59,107,64,97,1.97,1.45,positive
430
+ 63,0,51,130,70,77,3.2,0.01,negative
431
+ 75,0,80,108,79,168,2.6,0.01,negative
432
+ 47,1,94,105,81,135,36.24,0.26,positive
433
+ 65,1,77,122,58,106,1.57,0.48,positive
434
+ 65,1,76,151,78,100,8.38,0.01,positive
435
+ 57,1,88,110,70,83,40.99,7.67,positive
436
+ 35,1,62,137,61,321,4.58,0.0,negative
437
+ 65,0,62,114,69,103,18.43,0.01,positive
438
+ 43,0,80,129,89,318,74.45,0.01,positive
439
+ 71,1,70,134,58,107,2.59,0.01,negative
440
+ 75,0,63,110,59,111,1.8,0.04,positive
441
+ 45,1,74,140,85,85,4.18,0.0,negative
442
+ 52,0,71,143,71,109,5.65,0.93,positive
443
+ 78,1,97,137,76,200,0.94,0.55,positive
444
+ 50,0,81,124,75,114,0.32,0.0,negative
445
+ 51,1,57,208,40,247,11.07,0.23,positive
446
+ 67,1,76,150,81,94,4.61,2.5,positive
447
+ 41,0,82,107,57,135,1.03,0.0,negative
448
+ 48,1,90,111,65,117,1.13,0.0,negative
449
+ 70,1,90,170,95,87,1.12,0.91,positive
450
+ 63,1,61,107,70,102,134.7,0.01,positive
451
+ 50,1,61,117,78,276,4.39,2.34,positive
452
+ 70,1,93,128,69,92,1.95,0.18,positive
453
+ 49,1,61,119,75,133,2.2,0.88,positive
454
+ 70,0,80,90,41,85,1.29,6.01,positive
455
+ 70,0,101,142,96,99,2.13,0.14,positive
456
+ 60,1,89,91,51,115,2.56,0.1,positive
457
+ 33,0,76,90,60,180,1.5,0.0,negative
458
+ 66,1,66,160,83,103,71.77,0.01,positive
459
+ 21,1,85,138,98,257,9.9,0.0,positive
460
+ 70,1,70,127,77,132,1.3,1.23,positive
461
+ 50,1,95,101,76,125,2.93,0.01,negative
462
+ 88,1,60,124,100,150,251.4,0.01,positive
463
+ 57,0,61,67,80,204,33.09,0.0,positive
464
+ 39,0,86,158,104,97,5.36,0.0,positive
465
+ 72,0,82,138,82,195,1.79,0.01,negative
466
+ 70,1,59,164,75,99,1.41,0.02,positive
467
+ 55,1,64,160,77,270,1.99,0.0,negative
468
+ 58,1,70,117,61,87,4.3,0.01,negative
469
+ 70,0,80,130,85,230,0.92,0.4,positive
470
+ 52,1,63,123,82,86,4.02,0.01,negative
471
+ 70,1,103,126,75,541,0.67,0.01,negative
472
+ 65,0,59,183,77,119,2.65,0.07,positive
473
+ 35,1,78,149,77,92,1.51,0.01,negative
474
+ 52,1,76,109,85,227,0.67,0.49,positive
475
+ 60,0,60,130,56,294,2.13,0.1,positive
476
+ 75,1,60,138,58,116,2.85,0.02,positive
477
+ 65,0,91,121,82,156,1.67,0.06,positive
478
+ 60,0,81,135,81,119,1.66,0.0,negative
479
+ 73,0,81,150,75,125,1.44,0.01,negative
480
+ 67,0,78,127,61,105,6.57,0.33,positive
481
+ 50,0,120,220,128,76,0.93,0.07,positive
482
+ 85,0,72,117,49,272,81.65,0.01,positive
483
+ 49,1,62,114,69,155,1.3,1.0,positive
484
+ 65,1,61,121,60,85,0.94,0.7,positive
485
+ 63,1,96,111,74,98,4.71,0.05,positive
486
+ 14,0,89,111,57,133,2.62,0.01,negative
487
+ 74,0,117,100,68,203,1.36,3.85,positive
488
+ 58,0,69,121,65,140,4.39,0.08,positive
489
+ 70,1,60,202,88,94,1.07,0.41,positive
490
+ 45,1,75,144,78,189,2.42,0.01,negative
491
+ 44,1,74,155,77,81,61.1,0.04,positive
492
+ 61,1,80,142,93,220,2.97,0.04,positive
493
+ 64,0,117,112,74,146,2.88,0.09,positive
494
+ 53,0,80,150,52,188,3.24,0.01,negative
495
+ 70,1,61,145,68,61,286.9,0.0,positive
496
+ 29,1,90,129,90,135,8.93,0.0,positive
497
+ 70,1,55,109,76,103,25.56,0.03,positive
498
+ 60,1,94,122,67,115,2.1,2.2,positive
499
+ 85,0,61,102,64,96,99.62,0.01,positive
500
+ 56,0,89,141,79,94,5.82,0.01,positive
501
+ 45,1,90,110,65,83,2.42,0.1,positive
502
+ 57,0,60,175,88,152,3.0,0.0,negative
503
+ 52,0,60,140,80,111,1.75,1.0,positive
504
+ 35,1,74,134,58,78,1.37,0.0,negative
505
+ 68,0,73,150,75,103,3.09,0.01,negative
506
+ 31,1,61,102,64,104,300.0,0.0,positive
507
+ 59,1,59,100,61,170,2.51,0.39,positive
508
+ 39,0,75,116,71,120,1.59,0.0,negative
509
+ 42,1,94,98,46,123,1.3,0.01,negative
510
+ 43,0,79,89,57,98,2.46,0.01,negative
511
+ 67,0,69,128,70,382,2.33,0.01,negative
512
+ 56,0,101,102,63,211,4.26,0.21,positive
513
+ 75,0,89,145,68,96,2.09,0.52,positive
514
+ 50,1,64,83,60,100,3.36,0.01,negative
515
+ 67,1,58,119,72,109,1.5,0.01,negative
516
+ 44,1,85,129,90,192,1.47,0.05,positive
517
+ 45,1,62,142,80,111,1.32,0.01,negative
518
+ 70,1,61,119,75,97,8.23,0.02,positive
519
+ 60,1,70,126,75,87,4.11,0.01,negative
520
+ 76,0,89,111,57,272,7.48,0.02,positive
521
+ 42,1,82,120,80,111,1.41,0.0,negative
522
+ 45,1,117,100,68,202,3.18,0.0,negative
523
+ 49,1,59,110,65,149,3.18,0.0,negative
524
+ 75,0,74,111,71,247,1.62,0.19,positive
525
+ 29,1,62,143,75,95,5.49,0.0,negative
526
+ 62,1,60,138,58,252,3.4,0.01,negative
527
+ 44,1,60,175,88,99,1.59,0.0,negative
528
+ 75,1,60,113,52,98,1.61,0.01,negative
529
+ 55,1,70,146,95,163,1.93,1.76,positive
530
+ 83,1,81,130,65,87,1.62,0.03,positive
531
+ 76,0,74,148,65,152,10.78,0.01,positive
532
+ 40,1,89,214,88,100,6.03,0.0,negative
533
+ 68,1,73,115,72,99,2.05,0.01,negative
534
+ 70,1,87,148,89,142,32.77,2.06,positive
535
+ 64,1,67,120,60,240,5.22,0.01,negative
536
+ 50,0,88,110,70,109,3.85,0.0,negative
537
+ 46,1,76,150,100,125,1.99,0.01,negative
538
+ 57,0,82,121,62,91,4.39,0.01,negative
539
+ 49,1,105,128,80,216,11.64,0.85,positive
540
+ 60,1,65,140,89,242,3.26,0.01,negative
541
+ 63,0,93,119,63,96,1.65,0.02,positive
542
+ 70,0,84,87,48,100,89.22,0.02,positive
543
+ 31,1,132,125,74,92,8.69,0.0,positive
544
+ 62,0,61,193,86,96,2.99,0.0,negative
545
+ 29,1,89,111,57,90,2.89,0.0,negative
546
+ 33,1,90,139,67,50,0.81,0.0,positive
547
+ 52,1,62,143,75,100,6.41,0.06,positive
548
+ 47,0,58,93,78,170,1.19,0.07,positive
549
+ 29,1,76,157,93,228,300.0,0.0,positive
550
+ 60,1,68,116,74,85,1.73,1.75,positive
551
+ 48,1,60,132,88,247,107.3,0.1,positive
552
+ 75,0,116,144,82,96,4.0,0.01,negative
553
+ 50,1,79,118,55,431,2.73,0.0,negative
554
+ 41,1,59,110,65,182,7.03,2.29,positive
555
+ 45,1,60,109,65,89,1.6,0.02,positive
556
+ 54,1,74,145,85,93,23.11,0.18,positive
557
+ 70,1,77,100,68,124,3.61,1.58,positive
558
+ 20,1,78,109,69,294,3.1,0.01,negative
559
+ 65,1,93,127,80,86,27.06,0.01,positive
560
+ 69,1,82,86,70,87,4.37,0.02,positive
561
+ 75,1,63,150,95,111,1.89,0.09,positive
562
+ 60,1,73,135,81,133,46.1,0.0,positive
563
+ 50,0,93,120,71,120,0.61,0.01,negative
564
+ 72,0,75,125,73,82,1.86,0.01,negative
565
+ 43,0,60,144,54,109,10.26,0.02,positive
566
+ 59,1,84,128,80,203,5.08,0.03,positive
567
+ 39,1,64,101,68,131,5.17,1.15,positive
568
+ 58,1,76,140,63,354,4.62,1.64,positive
569
+ 62,1,76,154,86,159,1.16,0.0,negative
570
+ 54,0,65,191,110,140,2.59,0.54,positive
571
+ 31,1,59,125,72,94,2.85,0.01,negative
572
+ 50,1,61,136,70,136,1.37,1.15,positive
573
+ 55,0,73,125,78,125,95.34,0.0,positive
574
+ 65,1,72,100,57,93,3.46,0.11,positive
575
+ 37,1,64,109,60,148,0.6,0.01,negative
576
+ 45,1,70,113,62,154,72.6,1.85,positive
577
+ 70,1,89,100,50,314,0.88,0.41,positive
578
+ 70,0,91,147,65,86,1.54,0.02,positive
579
+ 79,1,96,111,74,123,4.41,0.55,positive
580
+ 63,0,20,110,90,122,0.68,1.51,positive
581
+ 80,0,65,112,58,222,2.91,0.05,positive
582
+ 55,1,122,147,95,96,3.86,0.01,negative
583
+ 50,1,75,142,75,122,6.27,0.0,negative
584
+ 66,1,69,129,73,215,300.0,0.01,positive
585
+ 33,1,62,76,55,106,0.71,0.01,negative
586
+ 38,0,80,109,67,222,2.65,0.01,negative
587
+ 39,1,84,128,80,206,1.48,0.01,negative
588
+ 84,0,65,129,75,88,31.22,0.01,positive
589
+ 70,0,73,85,44,96,2.02,5.11,positive
590
+ 47,1,79,92,55,192,1.93,0.01,negative
591
+ 52,1,90,110,65,202,1.83,0.01,negative
592
+ 70,1,76,136,82,233,2.56,2.16,positive
593
+ 55,0,77,176,89,95,0.61,2.48,positive
594
+ 60,1,66,160,83,234,1.22,0.2,positive
595
+ 72,1,67,157,73,117,1.6,0.01,negative
596
+ 70,0,75,128,74,84,1.27,0.01,negative
597
+ 44,0,60,166,90,102,2.39,0.01,negative
598
+ 58,0,80,107,67,166,6.48,9.11,positive
599
+ 65,1,60,129,55,117,1.9,0.08,positive
600
+ 62,0,53,114,80,112,2.35,1.21,positive
601
+ 62,0,60,160,85,76,1.74,0.01,negative
602
+ 47,1,82,125,61,136,2.11,0.07,positive
603
+ 42,1,83,153,91,98,5.46,0.0,negative
604
+ 55,1,92,71,93,127,1.8,0.01,negative
605
+ 70,0,1111,141,95,138,3.87,0.03,positive
606
+ 65,1,61,130,74,109,19.63,0.02,positive
607
+ 75,1,103,120,83,105,1.08,0.02,positive
608
+ 61,1,60,125,88,90,0.86,0.09,positive
609
+ 71,0,67,111,65,113,2.13,0.01,negative
610
+ 70,0,89,107,50,92,17.95,0.02,positive
611
+ 50,1,69,165,104,194,1.5,0.01,negative
612
+ 50,0,66,160,83,98,5.75,0.14,positive
613
+ 47,1,91,110,77,107,12.39,2.47,positive
614
+ 39,1,63,104,63,154,2.49,0.0,negative
615
+ 45,1,65,117,72,98,3.0,0.0,negative
616
+ 55,0,61,128,49,78,1.98,0.02,positive
617
+ 50,1,74,95,53,184,3.94,0.27,positive
618
+ 26,0,88,110,70,102,3.21,0.01,negative
619
+ 63,1,101,102,63,166,300.0,0.02,positive
620
+ 48,1,72,150,95,100,14.72,0.01,positive
621
+ 66,0,80,117,83,132,6.61,0.0,positive
622
+ 62,1,81,95,61,408,1.85,2.96,positive
623
+ 74,0,90,198,48,102,38.94,0.05,positive
624
+ 50,0,55,109,76,90,15.74,0.01,positive
625
+ 56,1,65,129,75,145,3.98,0.01,positive
626
+ 63,1,119,170,107,129,2.61,0.01,negative
627
+ 43,1,108,100,71,259,4.21,0.01,negative
628
+ 65,0,90,111,65,108,1.67,0.01,negative
629
+ 36,1,56,171,56,182,5.27,0.64,positive
630
+ 57,0,74,155,77,99,1.3,0.74,positive
631
+ 29,1,57,140,52,103,36.24,0.01,positive
632
+ 53,1,65,129,75,95,2.41,0.02,positive
633
+ 68,1,97,105,80,91,1.16,10.0,positive
634
+ 45,0,79,87,47,82,2.38,0.0,negative
635
+ 65,1,70,142,75,108,165.0,0.06,positive
636
+ 65,0,57,95,57,90,2.9,0.77,positive
637
+ 67,0,51,143,75,102,1.31,0.03,positive
638
+ 60,0,89,145,68,93,1.96,0.01,negative
639
+ 55,1,97,105,80,100,2.97,0.15,positive
640
+ 62,1,74,124,67,102,8.15,1.83,positive
641
+ 68,1,89,145,68,134,0.71,10.0,positive
642
+ 73,0,108,100,71,81,11.4,0.02,positive
643
+ 48,1,79,118,55,98,2.19,0.05,positive
644
+ 64,1,61,90,57,79,1.82,0.01,negative
645
+ 70,0,83,104,57,127,1.32,1.94,positive
646
+ 41,1,66,105,59,162,0.52,0.0,negative
647
+ 60,0,81,125,79,123,25.1,0.01,positive
648
+ 44,0,65,200,80,261,207.5,0.0,positive
649
+ 42,1,88,152,87,113,2.31,0.0,negative
650
+ 49,0,67,120,55,100,0.68,0.01,positive
651
+ 58,0,61,112,58,87,1.83,0.0,negative
652
+ 27,0,61,112,58,112,2.25,0.0,negative
653
+ 66,0,70,113,62,266,300.0,0.01,positive
654
+ 62,1,119,113,79,77,1.79,0.0,negative
655
+ 54,1,89,107,50,246,3.15,0.0,negative
656
+ 45,1,70,134,58,186,2.87,0.01,negative
657
+ 64,1,65,150,78,204,0.97,0.01,positive
658
+ 58,1,72,130,80,117,4.4,0.01,negative
659
+ 70,0,61,136,70,87,2.94,0.04,positive
660
+ 56,1,70,103,59,136,56.39,0.04,positive
661
+ 49,1,93,105,71,93,3.33,0.04,positive
662
+ 73,1,71,119,76,228,2.14,0.07,positive
663
+ 63,0,60,150,83,198,2.39,0.01,negative
664
+ 63,0,60,214,82,85,1.21,0.0,negative
665
+ 65,1,87,115,78,119,17.32,1.39,positive
666
+ 57,1,51,130,70,91,0.48,0.28,positive
667
+ 72,1,79,159,110,175,2.92,1.55,positive
668
+ 80,1,76,90,60,256,3.48,0.02,positive
669
+ 30,1,85,135,65,105,3.25,0.01,negative
670
+ 55,0,65,129,75,95,13.87,0.0,positive
671
+ 54,1,65,112,58,184,1.04,0.0,negative
672
+ 65,1,69,121,65,443,0.34,0.01,negative
673
+ 54,0,69,103,74,154,1.77,0.0,negative
674
+ 28,1,68,91,61,239,208.6,0.0,positive
675
+ 37,0,82,121,62,242,217.5,0.0,positive
676
+ 41,1,81,121,83,130,1.24,0.0,negative
677
+ 55,0,67,155,89,97,22.91,0.12,positive
678
+ 75,1,89,87,53,139,9.05,0.11,positive
679
+ 35,1,66,94,63,109,3.71,0.0,negative
680
+ 44,0,59,106,58,93,3.68,0.01,negative
681
+ 49,1,85,119,76,35,5.68,0.05,positive
682
+ 39,1,59,164,75,177,3.29,0.0,negative
683
+ 56,0,68,123,70,102,2.28,0.26,positive
684
+ 60,0,89,140,100,93,2.93,0.02,positive
685
+ 72,0,94,122,67,392,1.09,0.02,positive
686
+ 46,1,84,87,48,368,6.4,0.04,positive
687
+ 63,1,88,155,85,81,1.35,0.03,positive
688
+ 78,1,83,131,82,182,2.26,1.15,positive
689
+ 41,1,83,153,91,302,1.42,0.01,negative
690
+ 75,0,75,134,85,201,1.24,0.01,negative
691
+ 49,1,117,112,74,150,0.98,5.87,positive
692
+ 54,0,60,104,60,50,8.14,0.01,positive
693
+ 52,1,63,105,64,95,1.63,0.03,positive
694
+ 55,0,68,130,80,232,6.66,0.04,positive
695
+ 45,1,72,136,46,187,1.42,0.0,negative
696
+ 66,1,73,115,72,224,3.48,0.01,negative
697
+ 53,1,78,157,78,147,3.28,0.02,positive
698
+ 78,1,68,176,106,122,0.76,0.49,positive
699
+ 58,1,60,150,83,133,52.94,1.31,positive
700
+ 65,0,80,129,89,85,2.79,0.0,negative
701
+ 59,1,59,127,56,208,5.34,0.41,positive
702
+ 78,0,89,214,88,434,7.26,0.01,positive
703
+ 63,0,74,119,78,103,2.98,0.01,negative
704
+ 57,1,70,144,75,111,3.58,0.16,positive
705
+ 70,0,100,105,62,165,4.01,0.01,negative
706
+ 50,1,82,138,82,102,1.11,1.4,positive
707
+ 69,1,89,160,67,96,33.87,0.02,positive
708
+ 47,0,85,138,98,321,1.88,0.88,positive
709
+ 58,0,84,128,80,202,3.18,0.01,negative
710
+ 70,0,68,91,61,82,5.27,0.01,positive
711
+ 77,0,82,125,61,115,2.14,0.04,positive
712
+ 70,1,87,141,81,106,0.93,1.15,positive
713
+ 33,0,63,110,68,189,2.52,0.01,negative
714
+ 55,0,61,96,48,154,3.43,0.7,positive
715
+ 51,1,72,141,89,133,8.57,0.01,positive
716
+ 63,0,82,84,54,126,1.93,0.01,negative
717
+ 85,1,112,115,69,114,2.19,0.06,positive
718
+ 60,0,60,128,72,80,0.49,0.01,negative
719
+ 68,1,87,135,84,108,3.76,0.01,negative
720
+ 49,1,86,146,92,118,1.93,0.01,negative
721
+ 47,1,98,110,76,87,5.33,0.08,positive
722
+ 55,0,76,149,75,347,20.21,0.01,positive
723
+ 63,1,80,140,83,116,14.21,0.18,positive
724
+ 76,1,73,114,68,144,297.5,0.02,positive
725
+ 77,0,84,130,80,117,1.3,0.02,positive
726
+ 60,0,78,95,59,100,21.51,0.01,positive
727
+ 50,0,94,122,67,86,7.05,0.0,positive
728
+ 60,1,79,142,75,139,1.72,5.31,positive
729
+ 29,1,62,91,50,241,2.65,0.0,negative
730
+ 58,0,72,138,86,189,12.02,1.07,positive
731
+ 52,0,62,127,65,99,3.7,0.01,negative
732
+ 72,0,64,112,65,109,1.32,0.08,positive
733
+ 45,1,77,88,60,202,0.58,0.0,negative
734
+ 54,1,98,110,76,362,2.27,0.04,positive
735
+ 70,0,74,119,78,64,2.09,0.1,positive
736
+ 36,1,63,123,82,110,1.57,2.12,positive
737
+ 49,0,100,107,64,84,3.05,0.01,negative
738
+ 60,1,60,179,83,347,1.25,0.04,positive
739
+ 53,0,94,126,65,105,2.38,0.0,negative
740
+ 28,1,57,110,60,101,0.92,0.0,negative
741
+ 32,0,77,88,60,100,7.29,0.01,positive
742
+ 60,1,78,109,69,93,4.6,0.02,positive
743
+ 90,1,59,164,75,415,5.87,0.01,negative
744
+ 51,1,52,150,75,85,3.49,0.0,negative
745
+ 44,1,74,145,85,115,2.11,0.19,positive
746
+ 52,0,70,114,54,422,2.31,0.01,negative
747
+ 56,0,61,117,78,99,25.97,0.01,positive
748
+ 73,1,64,101,68,138,1.47,0.3,positive
749
+ 78,1,74,150,90,105,1.53,0.03,positive
750
+ 65,1,55,115,68,106,2.39,0.45,positive
751
+ 63,0,62,124,66,271,0.66,0.02,positive
752
+ 72,0,64,152,60,95,1.61,0.01,negative
753
+ 73,0,62,110,69,227,1.2,0.02,positive
754
+ 46,1,96,97,55,134,13.7,0.07,positive
755
+ 70,1,103,120,83,85,2.05,1.33,positive
756
+ 52,1,84,128,80,279,2.39,0.03,positive
757
+ 55,1,89,95,70,230,6.11,1.35,positive
758
+ 64,1,97,137,76,149,3.52,0.93,positive
759
+ 50,0,63,129,67,94,3.23,0.0,negative
760
+ 55,1,72,154,84,196,1.34,0.02,positive
761
+ 56,1,61,67,80,91,2.09,0.0,negative
762
+ 47,1,79,156,82,206,6.13,0.0,negative
763
+ 60,1,70,137,64,109,4.36,0.0,negative
764
+ 69,1,98,91,50,161,5.22,0.0,negative
765
+ 52,1,61,167,80,303,25.36,0.01,positive
766
+ 40,0,85,140,82,106,2.33,0.0,negative
767
+ 59,1,88,119,66,404,2.85,0.01,negative
768
+ 50,1,80,152,78,89,1.1,0.0,negative
769
+ 45,1,77,130,79,116,23.97,0.0,positive
770
+ 36,0,59,137,81,99,4.15,0.0,negative
771
+ 67,1,87,148,89,142,1.87,0.01,negative
772
+ 70,1,84,128,80,108,2.68,0.26,positive
773
+ 66,1,68,91,61,111,2.22,0.01,positive
774
+ 60,0,72,138,86,124,15.88,0.04,positive
775
+ 27,0,93,119,63,137,6.74,0.0,positive
776
+ 63,0,79,139,89,274,1.22,0.01,negative
777
+ 54,1,72,154,84,127,2.97,0.01,negative
778
+ 60,1,75,160,70,154,4.02,0.33,positive
779
+ 60,0,110,220,128,101,1.28,0.0,negative
780
+ 48,1,84,118,68,96,5.33,0.01,negative
781
+ 46,0,80,129,89,99,2.38,0.71,positive
782
+ 60,0,60,106,73,134,2.82,0.01,negative
783
+ 28,0,78,127,61,114,19.47,0.01,positive
784
+ 63,1,60,117,68,226,300.0,0.03,positive
785
+ 67,1,82,164,90,130,3.75,0.01,negative
786
+ 63,1,134,111,69,132,44.18,0.07,positive
787
+ 63,1,102,124,71,123,8.37,0.02,positive
788
+ 40,1,91,120,80,101,2.74,0.01,negative
789
+ 53,1,89,116,68,98,6.04,0.0,negative
790
+ 48,0,74,118,78,141,18.96,0.01,positive
791
+ 56,1,79,85,44,97,1.28,0.01,negative
792
+ 63,1,103,170,90,136,2.73,0.03,positive
793
+ 60,1,94,91,52,202,3.83,0.01,negative
794
+ 67,1,61,134,89,106,2.37,0.03,positive
795
+ 75,1,65,107,57,140,1.64,0.01,negative
796
+ 32,0,1111,141,95,82,2.66,0.01,negative
797
+ 63,1,120,140,90,100,98.48,0.03,positive
798
+ 40,0,75,116,71,102,1.39,0.0,negative
799
+ 78,1,59,113,65,80,2.65,0.69,positive
800
+ 70,0,61,102,64,142,6.09,0.01,positive
801
+ 80,1,60,135,85,166,3.46,1.95,positive
802
+ 61,0,85,106,63,114,4.1,0.01,negative
803
+ 80,0,85,119,76,87,5.81,0.02,positive
804
+ 52,1,77,122,58,122,51.9,0.02,positive
805
+ 29,1,60,109,65,62,15.69,0.01,positive
806
+ 50,1,93,119,63,174,300.0,0.89,positive
807
+ 60,0,75,125,73,91,5.01,0.0,positive
808
+ 56,1,76,150,100,103,2.36,0.02,positive
809
+ 45,1,58,156,76,97,2.86,0.0,negative
810
+ 52,1,60,117,68,110,1.04,0.81,positive
811
+ 63,0,81,130,65,98,2.28,0.04,positive
812
+ 72,1,67,176,95,94,4.22,0.1,positive
813
+ 66,1,84,160,79,141,2.57,0.01,negative
814
+ 45,1,88,118,55,80,2.11,0.45,positive
815
+ 70,0,96,105,70,94,6.71,0.02,positive
816
+ 65,1,58,156,76,111,1.79,0.0,negative
817
+ 50,1,73,138,79,198,11.48,1.36,positive
818
+ 50,1,99,130,85,351,1.71,0.01,negative
819
+ 53,1,40,179,68,197,2.37,3.21,positive
820
+ 68,1,61,122,66,95,3.45,0.01,negative
821
+ 62,0,78,101,54,241,51.9,0.01,positive
822
+ 45,1,73,108,61,90,1.01,2.63,positive
823
+ 63,1,70,100,68,90,3.73,0.01,negative
824
+ 73,0,92,150,80,211,16.95,0.01,positive
825
+ 60,1,64,109,60,111,50.89,0.01,positive
826
+ 53,1,88,104,62,189,1.51,0.0,negative
827
+ 58,0,65,129,75,87,5.58,0.01,positive
828
+ 70,0,75,150,95,91,2.51,0.01,positive
829
+ 32,1,59,100,53,87,10.33,0.15,positive
830
+ 53,0,64,154,97,82,2.25,0.02,positive
831
+ 55,1,78,136,82,131,1.65,0.01,negative
832
+ 74,1,79,118,55,147,2.34,0.01,negative
833
+ 34,1,81,124,75,168,33.48,0.0,positive
834
+ 68,1,60,199,99,115,2.67,10.0,positive
835
+ 57,1,70,144,79,104,0.89,5.4,positive
836
+ 66,1,68,109,59,127,16.55,0.03,positive
837
+ 55,1,63,104,87,98,3.65,0.01,negative
838
+ 64,1,65,155,75,107,1.3,0.0,negative
839
+ 60,1,86,135,65,187,35.55,0.01,positive
840
+ 45,0,79,92,55,140,2.16,0.01,negative
841
+ 60,0,58,120,69,115,8.8,0.02,positive
842
+ 40,1,57,208,40,108,2.11,0.0,negative
843
+ 49,1,57,101,59,203,2.7,0.01,negative
844
+ 70,1,62,114,69,165,8.49,0.01,positive
845
+ 70,0,72,138,86,81,1.04,1.26,positive
846
+ 70,0,79,150,85,146,4.29,0.06,positive
847
+ 57,1,51,130,70,92,4.25,0.01,negative
848
+ 77,0,94,91,52,116,1.42,0.03,positive
849
+ 60,1,67,150,70,145,3.23,0.01,negative
850
+ 68,0,87,80,50,77,1.22,0.01,negative
851
+ 62,1,90,136,68,141,1.83,0.01,negative
852
+ 60,1,83,104,57,134,2.25,0.0,negative
853
+ 63,0,69,166,102,160,1.6,0.0,negative
854
+ 41,1,60,131,70,134,0.74,2.86,positive
855
+ 58,0,96,105,75,161,1.69,0.01,negative
856
+ 40,1,76,157,93,193,4.66,0.0,negative
857
+ 75,0,63,150,95,155,1.5,0.01,negative
858
+ 37,0,72,107,86,274,2.89,0.0,negative
859
+ 61,0,93,120,71,121,79.62,0.01,positive
860
+ 41,1,87,135,84,80,42.15,0.03,positive
861
+ 61,1,81,118,66,134,1.49,0.02,positive
862
+ 45,1,85,106,63,274,3.24,0.01,negative
863
+ 60,1,72,113,64,161,2.93,0.01,negative
864
+ 41,1,89,87,53,140,2.14,0.0,negative
865
+ 23,1,96,147,84,82,12.57,0.01,positive
866
+ 36,0,94,157,79,92,3.24,0.01,negative
867
+ 61,1,61,117,78,92,42.5,0.04,positive
868
+ 45,1,70,113,62,215,0.57,0.01,negative
869
+ 31,0,64,130,70,263,142.6,0.0,positive
870
+ 70,1,94,122,67,229,3.38,2.32,positive
871
+ 77,0,60,138,58,104,3.29,0.04,positive
872
+ 80,1,72,154,84,222,4.32,0.02,positive
873
+ 45,1,85,168,104,96,1.24,4.25,positive
874
+ 57,1,82,138,93,297,6.75,0.02,positive
875
+ 65,1,90,136,68,131,96.08,0.01,positive
876
+ 25,1,87,80,50,382,1.95,0.0,negative
877
+ 72,1,64,106,68,111,2.11,1.39,positive
878
+ 62,0,70,129,59,98,3.23,0.01,negative
879
+ 67,1,70,118,72,302,1.43,0.72,positive
880
+ 48,1,62,114,69,234,1.11,0.48,positive
881
+ 75,1,89,100,50,114,0.68,0.09,positive
882
+ 50,0,65,128,74,124,9.06,1.64,positive
883
+ 51,1,80,127,82,130,5.16,0.13,positive
884
+ 43,1,52,132,82,207,3.43,0.01,negative
885
+ 36,1,81,125,79,218,78.89,0.13,positive
886
+ 50,0,67,126,68,100,15.32,0.0,positive
887
+ 65,0,69,94,55,86,1.77,0.01,negative
888
+ 85,1,89,107,50,83,1.53,0.06,positive
889
+ 65,1,68,140,70,200,7.55,0.01,positive
890
+ 90,0,125,121,60,87,6.15,1.81,positive
891
+ 70,0,61,119,75,114,2.11,0.02,positive
892
+ 70,1,67,113,82,131,3.97,0.0,negative
893
+ 50,1,57,101,59,253,0.46,0.01,negative
894
+ 72,1,60,132,88,114,261.0,0.04,positive
895
+ 53,1,62,123,66,186,2.49,0.05,positive
896
+ 51,1,67,150,70,108,1.6,0.02,positive
897
+ 65,1,80,118,64,120,4.68,0.11,positive
898
+ 60,0,90,125,73,174,3.14,0.01,negative
899
+ 65,0,60,130,56,347,2.8,0.0,negative
900
+ 63,1,60,137,78,177,7.64,0.01,positive
901
+ 52,1,96,147,84,93,1.6,0.01,negative
902
+ 69,1,90,136,68,187,1.87,0.41,positive
903
+ 60,1,80,130,85,182,2.09,0.41,positive
904
+ 63,1,66,179,86,122,94.79,0.0,positive
905
+ 48,1,90,170,95,90,2.33,0.05,positive
906
+ 46,1,69,165,94,95,2.82,0.01,negative
907
+ 55,1,78,158,90,155,1.78,2.35,positive
908
+ 70,1,100,169,91,303,300.0,0.01,positive
909
+ 75,0,66,150,95,115,2.96,0.28,positive
910
+ 72,1,64,112,65,104,23.8,0.04,positive
911
+ 36,0,93,120,71,100,4.15,0.0,negative
912
+ 57,1,64,117,68,94,4.16,0.02,positive
913
+ 27,1,60,166,82,181,1.09,0.0,negative
914
+ 57,1,94,95,65,392,3.45,0.0,negative
915
+ 37,1,70,120,60,227,1.95,0.0,negative
916
+ 35,1,95,101,76,96,2.92,0.01,negative
917
+ 49,1,67,192,56,134,2.34,0.03,positive
918
+ 57,0,80,118,64,95,0.86,0.01,negative
919
+ 45,1,61,130,74,251,2.19,0.01,positive
920
+ 47,0,67,128,92,114,5.27,0.01,positive
921
+ 71,0,60,124,100,200,1.18,0.01,negative
922
+ 56,0,73,128,63,250,2.12,0.01,negative
923
+ 51,1,102,130,83,110,8.66,0.01,positive
924
+ 62,1,83,98,61,98,4.25,1.28,positive
925
+ 67,1,58,93,78,108,3.13,0.01,negative
926
+ 70,0,50,150,70,181,2.2,0.02,positive
927
+ 52,0,58,120,69,97,5.17,0.08,positive
928
+ 76,0,81,121,83,187,2.14,3.77,positive
929
+ 50,1,104,128,79,111,6.25,0.65,positive
930
+ 63,0,74,140,85,94,4.8,0.01,negative
931
+ 77,0,108,111,70,277,3.17,0.02,positive
932
+ 29,1,108,111,70,541,1.5,0.09,positive
933
+ 40,1,73,114,68,90,1.4,0.02,positive
934
+ 68,1,61,121,49,98,6.48,0.02,positive
935
+ 57,1,60,166,90,231,2.2,0.0,negative
936
+ 64,1,82,138,93,77,8.08,0.02,positive
937
+ 66,1,83,153,91,98,1.8,0.02,positive
938
+ 51,0,100,117,57,249,1.85,0.0,negative
939
+ 38,0,80,152,78,133,1.19,0.0,negative
940
+ 55,0,73,138,79,105,1.61,0.01,negative
941
+ 50,1,73,128,63,124,40.6,0.99,positive
942
+ 33,0,74,119,78,102,2.57,0.0,negative
943
+ 70,1,112,170,104,117,3.95,0.01,negative
944
+ 55,0,86,165,83,162,2.3,0.46,positive
945
+ 33,1,82,138,93,100,1.77,0.03,positive
946
+ 60,0,78,169,80,117,1.18,2.81,positive
947
+ 64,0,64,160,77,97,1.52,0.05,positive
948
+ 80,1,82,91,56,267,1.78,3.28,positive
949
+ 66,1,73,108,61,93,8.84,0.06,positive
950
+ 39,1,94,105,81,93,4.0,0.0,negative
951
+ 60,1,58,130,80,93,0.93,0.03,positive
952
+ 55,1,55,109,76,216,19.47,0.7,positive
953
+ 47,0,82,84,54,134,89.61,0.0,positive
954
+ 52,1,78,139,76,175,2.03,0.01,negative
955
+ 73,1,60,136,68,87,3.04,0.05,positive
956
+ 70,1,71,91,57,104,1.31,0.01,negative
957
+ 47,1,76,109,85,98,1.95,0.0,negative
958
+ 70,1,90,105,52,85,2.55,0.01,negative
959
+ 74,1,83,130,75,108,11.45,0.8,positive
960
+ 32,0,67,126,68,151,4.47,0.01,negative
961
+ 68,1,74,124,67,96,96.02,0.1,positive
962
+ 62,0,75,125,79,116,259.7,0.21,positive
963
+ 45,1,61,124,62,391,1.7,0.01,negative
964
+ 67,1,71,112,68,98,2.93,0.01,negative
965
+ 53,0,82,80,80,118,1.64,0.01,negative
966
+ 45,1,68,154,95,102,7.32,0.0,positive
967
+ 48,1,87,101,45,164,4.06,0.52,positive
968
+ 60,1,63,170,104,87,94.79,0.01,positive
969
+ 60,1,70,125,85,85,11.24,0.02,positive
970
+ 32,1,40,179,68,167,9.63,0.0,positive
971
+ 58,1,73,123,68,222,1.81,0.2,positive
972
+ 60,1,57,110,60,197,2.93,0.06,positive
973
+ 56,1,76,150,81,262,3.95,0.05,positive
974
+ 60,1,85,115,75,105,2.37,0.02,positive
975
+ 75,0,63,110,68,99,1.02,0.07,positive
976
+ 54,0,59,93,64,141,11.32,0.37,positive
977
+ 46,0,89,91,51,87,111.0,0.0,positive
978
+ 69,1,119,113,79,184,8.87,0.01,positive
979
+ 62,1,79,139,89,155,6.47,0.07,positive
980
+ 71,0,89,141,93,90,1.16,0.01,negative
981
+ 50,1,80,98,52,110,4.61,0.0,negative
982
+ 45,1,65,137,81,115,2.15,0.33,positive
983
+ 38,0,59,100,56,92,15.67,0.01,positive
984
+ 65,0,61,124,62,141,1.53,0.1,positive
985
+ 69,0,73,135,81,69,4.95,0.01,negative
986
+ 75,1,71,144,74,104,4.43,0.01,negative
987
+ 46,0,58,93,48,97,10.33,0.92,positive
988
+ 59,1,87,148,89,431,300.0,1.23,positive
989
+ 47,1,58,130,80,127,3.87,0.0,negative
990
+ 51,0,70,140,90,150,1.81,0.01,negative
991
+ 55,1,70,116,54,100,2.99,0.01,negative
992
+ 63,1,88,104,62,77,2.12,5.05,positive
993
+ 60,0,89,111,57,194,2.17,0.35,positive
994
+ 63,1,67,120,64,94,2.72,0.24,positive
995
+ 60,1,64,110,58,132,1.66,0.04,positive
996
+ 27,1,98,91,50,147,1.2,0.01,negative
997
+ 78,1,58,93,78,135,3.03,0.11,positive
998
+ 43,0,62,142,80,83,1.58,0.0,negative
999
+ 42,1,89,111,52,106,6.48,0.0,positive
1000
+ 62,1,69,111,70,68,13.97,0.29,positive
1001
+ 55,1,62,91,50,114,31.2,0.29,positive
1002
+ 66,0,87,115,78,103,3.78,0.07,positive
1003
+ 50,0,61,90,57,100,1.43,0.0,negative
1004
+ 56,1,73,123,74,217,3.85,0.01,negative
1005
+ 45,1,63,153,66,144,1.13,1.47,positive
1006
+ 68,0,61,90,57,114,2.19,0.02,positive
1007
+ 60,1,92,136,69,92,1.82,0.01,negative
1008
+ 68,1,66,112,74,105,3.65,0.12,positive
1009
+ 54,1,89,126,64,153,8.32,0.01,positive
1010
+ 73,1,80,115,62,161,0.61,0.01,negative
1011
+ 74,1,87,135,84,99,1.17,0.04,positive
1012
+ 58,1,98,91,50,182,15.23,0.01,positive
1013
+ 34,0,112,170,104,151,2.56,0.0,negative
1014
+ 28,0,96,105,75,294,1.45,0.0,negative
1015
+ 45,0,80,117,83,143,2.49,0.0,negative
1016
+ 72,0,63,110,59,162,3.2,0.02,positive
1017
+ 73,1,65,83,43,101,2.85,0.2,positive
1018
+ 68,0,59,107,64,225,300.0,0.02,positive
1019
+ 60,1,72,151,57,245,20.46,0.01,positive
1020
+ 59,1,85,140,82,119,8.21,0.98,positive
1021
+ 50,0,73,125,78,336,6.36,0.01,positive
1022
+ 60,1,98,144,66,98,1.54,0.03,positive
1023
+ 40,1,60,97,44,167,6.91,0.05,positive
1024
+ 73,0,98,160,82,159,1.75,0.01,negative
1025
+ 55,1,112,100,72,132,2.57,1.63,positive
1026
+ 22,0,63,170,104,143,1.97,0.01,negative
1027
+ 48,1,135,98,60,100,94.79,0.0,positive
1028
+ 62,1,60,124,58,387,1.06,0.01,negative
1029
+ 34,0,81,125,69,152,2.07,0.01,negative
1030
+ 41,1,65,129,75,100,63.08,0.0,positive
1031
+ 81,1,73,115,72,166,3.48,0.09,positive
1032
+ 29,1,81,150,51,100,6.48,0.0,positive
1033
+ 52,1,78,123,66,86,0.53,0.04,positive
1034
+ 75,1,75,134,85,88,4.24,0.02,positive
1035
+ 29,1,112,170,104,68,1.33,0.01,negative
1036
+ 48,0,63,175,90,85,1.64,0.0,negative
1037
+ 44,0,60,154,81,135,2.35,0.0,negative
1038
+ 28,0,79,166,103,215,4.8,0.0,negative
1039
+ 50,0,77,100,68,166,1.63,0.0,negative
1040
+ 55,1,70,120,55,334,2.49,0.01,negative
1041
+ 58,1,60,144,79,99,1.65,0.43,positive
1042
+ 43,1,94,95,65,147,4.13,0.02,positive
1043
+ 42,0,73,162,99,109,15.83,0.1,positive
1044
+ 37,1,59,125,72,122,0.78,0.0,negative
1045
+ 70,1,76,140,63,87,4.78,0.02,positive
1046
+ 33,1,87,101,45,319,1.32,0.01,negative
1047
+ 58,1,60,156,60,82,1.18,0.0,negative
1048
+ 75,0,92,151,78,174,3.87,0.03,positive
1049
+ 43,0,93,180,104,162,1.5,0.01,negative
1050
+ 71,1,71,119,76,159,0.47,0.03,positive
1051
+ 60,0,62,131,70,204,1.58,0.0,negative
1052
+ 47,0,82,103,58,89,1.66,0.0,negative
1053
+ 61,1,90,170,95,157,4.67,0.06,positive
1054
+ 46,0,79,156,82,147,2.19,0.27,positive
1055
+ 48,1,78,127,61,98,4.61,0.01,negative
1056
+ 74,1,62,131,70,107,1.18,0.02,positive
1057
+ 62,1,89,116,68,149,3.63,0.15,positive
1058
+ 65,1,132,125,74,196,1.42,0.0,negative
1059
+ 65,1,113,131,63,126,25.04,0.07,positive
1060
+ 45,1,92,167,105,117,58.29,0.0,positive
1061
+ 37,1,78,95,59,107,39.34,0.02,positive
1062
+ 67,1,74,111,71,91,2.2,0.03,positive
1063
+ 65,0,104,128,79,274,6.78,0.2,positive
1064
+ 53,0,80,125,75,125,4.76,0.0,negative
1065
+ 61,1,60,138,81,321,6.17,0.0,negative
1066
+ 46,0,76,169,95,152,2.19,0.01,negative
1067
+ 60,1,83,153,91,104,0.51,0.01,negative
1068
+ 53,1,82,147,103,346,5.11,0.01,negative
1069
+ 63,1,74,208,100,100,2.54,0.14,positive
1070
+ 71,1,112,115,69,134,1.06,0.02,positive
1071
+ 41,1,96,147,84,92,2.53,0.01,negative
1072
+ 54,1,63,105,64,121,11.94,0.01,positive
1073
+ 91,1,80,65,53,94,5.37,0.01,negative
1074
+ 56,1,57,110,60,101,4.05,0.02,positive
1075
+ 68,0,57,110,60,202,3.64,0.02,positive
1076
+ 60,0,89,95,70,93,20.71,0.11,positive
1077
+ 63,1,68,116,74,109,88.28,0.02,positive
1078
+ 53,1,55,120,79,114,2.93,0.03,positive
1079
+ 46,1,65,115,66,112,25.74,0.01,positive
1080
+ 87,1,61,121,60,116,61.2,0.02,positive
1081
+ 47,0,64,101,68,147,7.65,0.01,positive
1082
+ 55,0,50,110,90,219,6.78,2.53,positive
1083
+ 82,0,93,180,104,120,1.76,0.33,positive
1084
+ 60,1,80,127,82,100,247.8,0.01,positive
1085
+ 30,1,74,127,76,131,266.3,0.01,positive
1086
+ 37,1,88,119,66,118,5.78,0.01,negative
1087
+ 48,0,82,125,61,125,3.47,0.0,negative
1088
+ 56,1,64,120,68,66,0.49,0.01,positive
1089
+ 32,1,105,128,80,180,5.75,0.01,negative
1090
+ 50,1,60,135,89,81,4.56,1.86,positive
1091
+ 57,0,61,112,56,103,2.98,0.0,negative
1092
+ 49,1,70,149,79,104,2.93,0.02,positive
1093
+ 46,0,91,153,82,366,1.94,4.32,positive
1094
+ 50,1,52,171,80,210,1.63,0.66,positive
1095
+ 37,1,60,99,56,90,8.86,0.01,positive
1096
+ 60,0,78,134,68,123,1.54,0.05,positive
1097
+ 42,0,100,119,66,163,50.46,0.0,positive
1098
+ 68,1,76,120,70,147,1.87,0.04,positive
1099
+ 55,1,74,150,90,117,7.61,0.1,positive
1100
+ 50,1,89,162,99,100,1.83,0.01,negative
1101
+ 73,1,60,144,79,142,4.19,0.01,negative
1102
+ 77,1,73,115,72,134,19.5,0.01,positive
1103
+ 40,1,90,122,70,185,2.8,0.0,negative
1104
+ 49,1,61,96,48,93,0.67,0.01,negative
1105
+ 70,1,49,170,80,151,5.73,0.03,positive
1106
+ 37,1,84,126,75,92,1.66,0.33,positive
1107
+ 73,1,91,91,56,274,0.91,0.04,positive
1108
+ 100,1,60,209,75,329,5.66,0.84,positive
1109
+ 65,1,84,126,75,382,1.01,0.02,positive
1110
+ 55,1,60,166,82,97,1.37,0.01,negative
1111
+ 90,0,58,120,69,191,5.22,0.01,positive
1112
+ 70,0,80,135,75,351,2.21,10.0,positive
1113
+ 63,1,66,101,50,94,0.6,0.17,positive
1114
+ 71,1,82,138,82,96,5.61,0.17,positive
1115
+ 68,1,59,96,55,118,3.93,0.04,positive
1116
+ 70,0,69,94,55,88,5.33,0.02,positive
1117
+ 60,0,70,92,55,318,2.33,0.0,negative
1118
+ 48,1,83,150,94,98,2.04,0.01,negative
1119
+ 65,1,60,214,82,189,1.21,0.07,positive
1120
+ 62,1,75,134,85,109,5.77,0.01,negative
1121
+ 40,1,87,115,78,228,4.8,0.05,positive
1122
+ 60,1,85,140,82,117,0.8,0.01,negative
1123
+ 63,1,81,200,110,208,2.5,0.01,negative
1124
+ 55,1,74,168,97,102,2.0,0.01,negative
1125
+ 52,1,64,122,60,217,4.45,0.0,negative
1126
+ 47,0,67,113,82,143,3.3,0.0,negative
1127
+ 70,1,59,107,64,135,1.93,0.01,negative
1128
+ 25,0,62,76,55,104,1.12,0.0,negative
1129
+ 41,1,54,87,54,221,0.72,0.01,negative
1130
+ 63,1,59,111,49,95,7.91,0.0,positive
1131
+ 53,0,64,83,60,152,17.63,0.01,positive
1132
+ 81,0,64,112,65,97,4.96,0.01,positive
1133
+ 45,1,108,111,70,142,4.64,0.01,negative
1134
+ 55,1,60,130,72,96,2.8,0.12,positive
1135
+ 54,1,83,153,91,266,1.86,0.01,negative
1136
+ 58,0,69,214,88,95,185.1,0.01,positive
1137
+ 66,1,59,100,56,245,2.12,0.0,negative
1138
+ 21,1,97,150,78,98,10.75,0.6,positive
1139
+ 66,1,60,129,55,88,1.6,0.04,positive
1140
+ 48,1,80,129,77,110,4.73,0.01,negative
1141
+ 60,1,71,112,68,66,6.28,0.09,positive
1142
+ 73,1,83,130,75,108,1.63,0.01,negative
1143
+ 47,0,89,123,73,324,1.97,0.01,negative
1144
+ 82,0,90,125,73,89,2.04,0.15,positive
1145
+ 36,1,55,101,72,115,2.78,0.02,positive
1146
+ 58,1,61,96,48,91,2.2,0.19,positive
1147
+ 48,1,92,147,78,132,32.53,0.0,positive
1148
+ 65,1,60,112,56,95,4.22,1.04,positive
1149
+ 40,0,67,101,69,258,1.29,0.76,positive
1150
+ 63,1,60,122,55,100,34.36,0.08,positive
1151
+ 79,1,89,140,100,157,4.74,0.19,positive
1152
+ 62,1,103,115,85,104,0.35,2.42,positive
1153
+ 70,1,80,125,75,150,5.02,0.02,positive
1154
+ 50,1,79,141,79,81,2.93,0.14,positive
1155
+ 86,1,60,154,81,112,300.0,1.79,positive
1156
+ 39,0,61,67,80,145,1.6,0.01,negative
1157
+ 68,0,60,124,58,180,1.08,0.0,negative
1158
+ 49,1,74,145,85,96,1.33,0.0,negative
1159
+ 35,1,62,76,55,94,1.93,0.0,negative
1160
+ 53,1,98,160,82,103,0.72,0.22,positive
1161
+ 65,1,77,76,154,93,3.81,0.03,positive
1162
+ 70,1,71,91,57,223,0.86,0.02,positive
1163
+ 52,1,62,180,100,233,2.94,3.39,positive
1164
+ 55,0,59,110,65,208,2.53,0.02,positive
1165
+ 103,0,56,171,56,150,51.96,0.04,positive
1166
+ 63,1,94,105,81,168,1.58,0.01,negative
1167
+ 54,0,82,103,58,136,5.46,0.45,positive
1168
+ 45,1,59,137,81,112,2.28,0.01,negative
1169
+ 57,1,81,95,61,93,1.17,0.02,positive
1170
+ 52,1,86,113,68,282,12.2,0.01,positive
1171
+ 68,1,72,113,64,87,0.68,0.02,positive
1172
+ 65,0,125,92,60,136,1.49,0.01,negative
1173
+ 50,0,82,108,61,77,1.19,0.92,positive
1174
+ 75,0,81,121,83,186,79.41,0.18,positive
1175
+ 65,1,135,98,60,162,7.67,0.03,positive
1176
+ 75,1,66,115,62,218,1.9,0.03,positive
1177
+ 87,1,70,175,92,101,2.24,0.04,positive
1178
+ 40,1,67,177,105,94,0.97,1.25,positive
1179
+ 76,0,55,109,76,65,1.06,0.36,positive
1180
+ 30,0,65,137,61,109,1.76,0.0,negative
1181
+ 45,1,58,155,76,96,2.89,0.01,negative
1182
+ 44,1,94,122,67,204,1.63,0.01,negative
1183
+ 56,0,94,157,79,108,3.96,0.01,negative
1184
+ 55,0,72,107,86,147,3.46,0.0,negative
1185
+ 70,0,61,90,57,83,1.33,0.01,negative
1186
+ 34,1,80,152,78,87,4.72,0.0,negative
1187
+ 50,1,64,109,60,96,1.54,0.93,positive
1188
+ 59,1,61,119,75,123,1.72,0.01,negative
classification/unipredict/bharath011-heart-disease-classification-dataset/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/bhavkaur-hotel-guests-dataset/metadata.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "bhavkaur-hotel-guests-dataset",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "room_type",
8
+ "label_values": [
9
+ "SUITE",
10
+ "BASIC",
11
+ "DELUXE"
12
+ ],
13
+ "num_labels": 3,
14
+ "train_samples": 1799,
15
+ "test_samples": 201,
16
+ "train_label_distribution": {
17
+ "BASIC": 1567,
18
+ "DELUXE": 160,
19
+ "SUITE": 72
20
+ },
21
+ "test_label_distribution": {
22
+ "BASIC": 175,
23
+ "DELUXE": 18,
24
+ "SUITE": 8
25
+ }
26
+ }
classification/unipredict/bhavkaur-hotel-guests-dataset/test.csv ADDED
@@ -0,0 +1,403 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Unnamed: 0,guest_email,has_rewards,amenities_fee,checkin_date,checkout_date,room_rate,billing_address,credit_card_number,room_type
2
+ 1487,beckyburke@example.com,False,10.24,30 Jun 2020,28 Jul 2020,129.96,"527 Tran Road
3
+ Martinville, TN 96531",36064776645412,BASIC
4
+ 1415,jchan@example.net,False,18.75,08 Oct 2020,11 Nov 2020,125.77,"330 Jones Lodge Apt. 854
5
+ East Katrinaview, WV 72738",4252550059489006,BASIC
6
+ 1688,mark15@example.net,False,19.54,10 Mar 2020,28 Feb 2020,177.25,"866 Garcia Summit
7
+ West Elizabeth, DE 31325",4789017381267987476,BASIC
8
+ 659,richard04@example.net,False,,03 Nov 2020,25 Oct 2020,189.55,"USCGC Griffith
9
+ FPO AP 72703",30545570648244,BASIC
10
+ 601,kaitlyn60@example.org,False,11.74,03 Nov 2020,16 Nov 2020,229.27,"49596 Lisa Lane Apt. 693
11
+ South Brenda, NE 17392",346119810452269,DELUXE
12
+ 77,payala@example.com,True,0.0,08 Apr 2021,10 Apr 2021,83.8,"415 Moore Terrace Apt. 648
13
+ Tamaraburgh, TN 38949",2223282089214739,BASIC
14
+ 183,carpenterdonald@example.com,False,29.52,14 Apr 2020,22 Apr 2020,167.13,"54317 Matthews Summit Suite 371
15
+ Leeport, FL 50124",3559759915511208,SUITE
16
+ 902,todd27@example.net,True,15.4,22 Mar 2020,28 Mar 2020,195.08,"917 Joshua Ports Suite 466
17
+ North Jennifer, SD 24468",345490766227364,BASIC
18
+ 300,gmeyers@example.org,False,13.94,24 Jun 2020,19 May 2020,83.8,"Unit 7113 Box 4707
19
+ DPO AA 83557",676326840995,BASIC
20
+ 1908,annahartman@example.com,False,14.65,26 Apr 2020,30 Mar 2020,149.58,"4294 Myers Street Apt. 060
21
+ Lake Shannon, CT 21565",373421974008432,BASIC
22
+ 1561,judygonzalez@example.org,True,10.85,13 Apr 2020,25 Jun 2020,111.64,"54078 Dwayne Ferry Suite 975
23
+ Riverashire, WI 24027",4808135464875,BASIC
24
+ 1644,kanderson@example.net,False,14.67,22 Jul 2020,27 Jun 2020,189.31,"4360 Travis Mountains Suite 616
25
+ Maryfort, WY 33330",6011130925610254,BASIC
26
+ 1564,jwallace@example.org,False,16.59,17 Feb 2021,18 Mar 2021,169.17,"627 Park Walk Suite 809
27
+ Kingville, PA 34538",3597854680429571,BASIC
28
+ 1771,darrell11@example.com,False,11.85,22 Feb 2020,17 Feb 2020,230.43,"805 Buck Rapid
29
+ Davisshire, MO 68071",676332751814,BASIC
30
+ 319,gosborn@example.com,False,20.38,29 May 2020,13 May 2020,156.33,"24991 Bob Landing
31
+ East Stephanie, OH 00811",342590162376245,BASIC
32
+ 1693,jon26@example.org,False,23.88,14 Oct 2020,23 Aug 2020,274.17,"3317 Diaz Square Suite 979
33
+ Bennettside, IL 88401",4543807678946,DELUXE
34
+ 868,nancy31@example.com,False,22.87,15 Nov 2020,02 Oct 2020,105.99,"05979 Richard Route
35
+ Port Amberland, WV 64947",30150773902082,BASIC
36
+ 175,longgloria@example.net,False,24.46,02 Jan 2021,28 Dec 2020,83.8,"249 Williams Rapid Apt. 293
37
+ Huntside, NY 48409",4337840826533932,BASIC
38
+ 847,vanessaramsey@example.org,False,8.09,03 Apr 2020,07 Apr 2020,83.8,"211 Lisa Square Suite 760
39
+ Leeburgh, AL 31489",4020639829180717618,BASIC
40
+ 802,justin49@example.net,False,9.3,13 Jul 2020,10 Jul 2020,243.31,"45799 Jones Extensions Apt. 234
41
+ West Davidside, MD 67262",4389882982856,BASIC
42
+ 302,jessica33@example.org,False,19.84,10 May 2020,28 May 2020,139.04,"85320 Kevin Shoals
43
+ North Kelly, LA 22632",6546071260533194,BASIC
44
+ 551,traci65@example.net,False,13.11,08 May 2020,14 Apr 2020,134.56,"05968 Reed Forges Suite 480
45
+ Marymouth, ND 29201",379237200057462,BASIC
46
+ 1267,davidparks@example.net,False,24.88,31 Dec 2020,10 Dec 2020,153.57,"8374 Melissa Road
47
+ East Yvonneberg, CT 74233",4805500116308568,BASIC
48
+ 1727,daviscynthia@example.net,True,2.1,12 Mar 2020,11 Mar 2020,205.77,"3556 Jessica Crest
49
+ Oliverfort, OK 60937",372736538061986,DELUXE
50
+ 1124,brianmoore@example.org,False,19.53,13 May 2020,22 Apr 2020,170.77,"USNV Oneal
51
+ FPO AE 12651",30197275275012,BASIC
52
+ 1436,vanessa68@example.net,False,25.61,20 Jun 2020,06 Jun 2020,195.82,"743 Timothy Wells Apt. 661
53
+ Triciafort, AR 50629",180019919069148,BASIC
54
+ 836,robert05@example.com,False,6.03,25 Aug 2020,04 Sep 2020,98.24,"371 Walker Row
55
+ Camachochester, FL 21810",2716558493925471,BASIC
56
+ 1114,hduran@example.org,False,13.04,05 Nov 2019,27 Nov 2019,83.8,"381 Katherine Unions
57
+ Parsonsborough, AR 96382",4000809767664648,BASIC
58
+ 452,robertblair@example.org,False,16.42,20 Apr 2020,31 May 2020,202.61,"PSC 5598, Box 0903
59
+ APO AA 55663",502075499827,BASIC
60
+ 906,patriciasullivan@example.com,True,4.15,23 Apr 2020,30 Apr 2020,224.32,"95896 Jordan Village Suite 777
61
+ Port Melissamouth, LA 63796",4144926967219,BASIC
62
+ 976,sheilale@example.net,False,19.56,08 Jan 2021,,252.28,"Unit 5822 Box 0801
63
+ DPO AE 71775",4794426168399664,BASIC
64
+ 689,scott85@example.net,False,16.21,26 Oct 2020,10 Oct 2020,170.57,"Unit 4776 Box 4334
65
+ DPO AE 95185",4668384678985162,BASIC
66
+ 504,robertwatson@example.net,False,8.89,19 Oct 2020,02 Nov 2020,167.83,"78067 Mark Route
67
+ Jacobfort, MI 55667",4526613273846,BASIC
68
+ 21,catherinemccormick@example.net,False,3.31,31 May 2020,,86.15,"90441 Jaime Junctions Apt. 861
69
+ New Elizabethview, MA 60325",376430801126546,BASIC
70
+ 141,andrea02@example.net,False,40.7,08 Apr 2020,25 Apr 2020,162.8,"66449 Joseph Stravenue
71
+ West Emily, FL 84577",30227185111997,BASIC
72
+ 506,odomzachary@example.net,False,10.72,14 Mar 2020,28 Feb 2020,261.25,"0281 Hill Prairie
73
+ Hayesville, MA 25174",4116615757426182,SUITE
74
+ 209,lopezsarah@example.org,False,,18 Sep 2020,27 Sep 2020,166.74,"205 Joseph Station Apt. 284
75
+ South Elizabeth, MN 36402",3557155124247944,BASIC
76
+ 109,patrickangela@example.org,False,35.42,27 Jan 2020,29 Jan 2020,192.97,"18015 Mccarthy Garden Suite 514
77
+ Port Christophermouth, UT 97615",4573075815347654,BASIC
78
+ 761,marco15@example.org,False,0.0,08 Apr 2020,13 Apr 2020,129.68,"5917 Decker Land Apt. 098
79
+ Fisherfurt, ND 62544",213103399758544,BASIC
80
+ 1720,katherine02@example.com,False,1.74,02 Jul 2020,06 Aug 2020,83.8,"97884 Mitchell Branch
81
+ East Stephen, WY 29322",2706621590946444,BASIC
82
+ 817,kathrynhenry@example.com,True,,18 May 2020,06 May 2020,83.8,"Unit 2905 Box 8144
83
+ DPO AE 57178",180070789334815,BASIC
84
+ 446,nguyenmolly@example.org,False,7.16,25 Oct 2020,15 Oct 2020,126.82,"28330 Elizabeth Mill Suite 514
85
+ Port Matthew, NH 99869",4318872935636226,BASIC
86
+ 955,kimberlydixon@example.com,False,16.43,05 Nov 2020,22 Nov 2020,129.89,"26637 Andrews Overpass
87
+ Zacharystad, NJ 15748",6522697755952651,BASIC
88
+ 1251,anthonymann@example.org,False,26.8,13 Sep 2020,11 Aug 2020,120.21,"USCGC Hinton
89
+ FPO AE 83990",2265073733228988,BASIC
90
+ 594,testrada@example.net,False,9.53,29 Jan 2021,22 Jan 2021,142.31,"41808 Nicole Inlet
91
+ Port Anthonyhaven, UT 19846",6518145744690780,BASIC
92
+ 1924,vanessa37@example.com,False,34.66,23 Jun 2020,21 Jun 2020,83.8,"PSC 4545, Box 1557
93
+ APO AP 26374",503842030127,BASIC
94
+ 22,jesse07@example.net,False,15.28,01 Dec 2020,,221.23,"830 Juan Route Suite 296
95
+ New Anthony, NC 02145",4037339889329,BASIC
96
+ 1933,adamsrachel@example.org,False,13.71,16 Dec 2019,24 Nov 2019,83.8,"2353 Garza Squares Suite 479
97
+ South Joshuashire, OR 91440",213122430644679,BASIC
98
+ 1416,adamburke@example.org,False,28.02,14 Sep 2020,29 Aug 2020,224.19,"116 Greene Fords
99
+ Port Dennis, SC 06378",4395100498275800808,DELUXE
100
+ 228,charlesemily@example.org,False,23.14,07 Jan 2021,17 Dec 2020,146.03,"72083 Douglas Locks
101
+ New Mauriceside, ID 05041",4982443854448,BASIC
102
+ 1237,heather92@example.net,False,27.69,08 Mar 2020,08 Apr 2020,125.44,"640 Donald Pines Apt. 699
103
+ Lake Anthonyview, PA 22062",60432455396,BASIC
104
+ 331,brendabarrett@example.com,False,31.11,01 Mar 2021,08 Jan 2021,169.52,"Unit 1282 Box 4625
105
+ DPO AA 07224",676275545108,BASIC
106
+ 1271,karen70@example.net,True,0.0,08 Jun 2020,17 Jun 2020,274.25,"24444 Melanie Haven Apt. 750
107
+ East Johnfort, ND 96431",180083118063864,DELUXE
108
+ 19,maria62@example.com,False,11.31,20 Jun 2020,24 May 2020,253.66,"343 Baldwin Rest Apt. 946
109
+ East Hollyview, MD 25529",4063896844978,BASIC
110
+ 61,justincervantes@example.org,False,20.96,19 Jun 2020,22 Jun 2020,158.94,"5653 Donna Walk
111
+ West Devinburgh, CO 56465",36541279345160,BASIC
112
+ 937,franklinbenjamin@example.net,True,11.53,14 Aug 2020,01 Oct 2020,171.75,"2243 Kenneth Rapids Apt. 857
113
+ East Wendychester, TN 28206",343630043360874,BASIC
114
+ 177,teresajones@example.com,False,22.85,09 Feb 2020,26 Feb 2020,119.47,"86287 Martinez Crest Apt. 574
115
+ South Christopherport, UT 69135",502083259569,BASIC
116
+ 855,bruce84@example.net,False,20.45,12 Dec 2020,14 Jan 2021,83.8,"850 Aaron Club Suite 397
117
+ Gardnerland, WI 96203",4986744203155,BASIC
118
+ 1008,bennettmarilyn@example.net,False,21.25,25 May 2020,09 Jun 2020,83.8,"Unit 7223 Box 3318
119
+ DPO AE 10817",502085376361,BASIC
120
+ 387,sherrycook@example.org,False,10.92,06 Jul 2020,01 Jul 2020,138.95,"50214 Sarah River Suite 893
121
+ Port Charles, OH 88039",4576886415630753,BASIC
122
+ 1458,travisyoung@example.com,True,2.6,15 May 2020,02 Jul 2020,173.3,"5351 Katherine Drive Apt. 002
123
+ Schneiderville, CT 23185",639075109012,BASIC
124
+ 449,jeffrey87@example.net,False,20.16,28 Sep 2020,26 Oct 2020,121.2,"Unit 9184 Box 1904
125
+ DPO AP 15402",4692762558374373632,BASIC
126
+ 72,jmcconnell@example.com,True,11.54,21 Sep 2019,28 Sep 2019,83.8,"716 Jodi Heights
127
+ Williamshaven, SC 51945",4227426144617853509,BASIC
128
+ 1577,crystaldodson@example.com,False,12.92,11 Feb 2020,08 Feb 2020,180.91,"1450 Pena Way
129
+ Armstrongberg, TN 60338",38857048632367,SUITE
130
+ 737,pnewton@example.org,False,,29 Apr 2020,15 Apr 2020,196.98,"5731 Phyllis Turnpike Apt. 159
131
+ Lake Kimberly, KY 01976",3555803477595862,BASIC
132
+ 1490,michelle12@example.org,False,44.84,28 Jun 2020,02 Aug 2020,187.49,"762 Gilbert Viaduct
133
+ Randallview, DC 97000",4538298936662,BASIC
134
+ 1477,michaela46@example.com,False,17.62,25 Apr 2020,27 May 2020,196.48,"7580 Trevor Villages
135
+ South Catherineside, NC 86132",4686116041757986895,BASIC
136
+ 378,nealbailey@example.org,True,1.77,21 Apr 2020,21 Apr 2020,184.44,"24098 Fletcher Meadows Suite 603
137
+ New David, IL 75271",340388686831197,BASIC
138
+ 1689,roberta98@example.org,False,17.29,21 Mar 2020,24 Apr 2020,89.32,"675 Vargas Hill
139
+ Lake Christopherland, SC 44039",3563432861002796,BASIC
140
+ 1620,gutierrezamy@example.net,False,16.7,02 Aug 2020,24 Jul 2020,83.8,"67528 Davies River
141
+ Cookberg, FL 82002",3508919391546944,BASIC
142
+ 634,christina32@example.org,False,14.69,11 Aug 2020,05 Aug 2020,242.97,"45129 Mayo Tunnel Apt. 764
143
+ Jamesville, PA 41840",6550311234113670,DELUXE
144
+ 664,bvillegas@example.org,False,13.58,09 Mar 2020,18 Jan 2020,146.61,"PSC 9347, Box 9100
145
+ APO AE 99343",4504835107770234,BASIC
146
+ 153,mannrichard@example.org,False,8.15,30 Sep 2020,18 Sep 2020,83.8,"USNV Harmon
147
+ FPO AP 69966",3580524759052229,BASIC
148
+ 862,wharmon@example.net,False,13.96,09 Dec 2020,03 Dec 2020,214.79,"Unit 4467 Box 0976
149
+ DPO AA 93682",213154715145619,BASIC
150
+ 291,owright@example.com,False,24.85,16 Nov 2020,23 Oct 2020,124.05,"354 Sara Common Suite 662
151
+ Derektown, MD 18168",4099972820391,BASIC
152
+ 1550,deborah90@example.org,False,12.77,30 Apr 2021,28 Mar 2021,86.11,"USNS Guerra
153
+ FPO AE 39700",36567125248563,BASIC
154
+ 604,hannahwilliams@example.net,False,11.94,11 Jan 2021,19 Dec 2020,103.18,"1699 Anderson Highway Suite 450
155
+ Port Jeffreyhaven, VT 75182",3530456515623491,BASIC
156
+ 1613,danderson@example.com,False,,14 Sep 2020,24 Oct 2020,113.85,"8329 Smith Trafficway
157
+ Donaldtown, IL 42322",4977720478490042,BASIC
158
+ 1590,smithkenneth@example.net,False,37.34,15 Mar 2020,12 Mar 2020,230.54,"USNS Moss
159
+ FPO AP 28645",2224755353582625,BASIC
160
+ 1091,fcohen@example.net,True,22.98,28 May 2020,11 Jun 2020,196.27,"753 Eileen Key
161
+ Cherylfort, HI 95174",565618439733,BASIC
162
+ 750,brentturner@example.net,False,,11 Jan 2020,29 Dec 2019,156.48,"041 Eric Turnpike Suite 118
163
+ West Hunterchester, GA 02857",503870464107,DELUXE
164
+ 1139,thompsontimothy@example.com,False,,30 Aug 2020,17 Aug 2020,226.63,"05439 Gray Lane Apt. 910
165
+ Berrymouth, NE 52910",3543453944902146,BASIC
166
+ 1957,jonathan70@example.com,False,11.87,01 Oct 2020,27 Sep 2020,288.25,"3904 Gomez Inlet
167
+ Nicholeshire, NE 44948",630416837387,DELUXE
168
+ 127,qcook@example.com,False,11.59,29 Jan 2021,26 Dec 2020,140.13,"73464 Williams Green
169
+ South Amber, ME 06845",4879555550576,BASIC
170
+ 1895,davidsonmary@example.com,False,26.09,02 Jun 2020,06 Jun 2020,84.03,"85886 Rita Radial Apt. 544
171
+ Watsonhaven, FL 74849",4039198658902,BASIC
172
+ 250,robertmills@example.net,False,20.14,26 Sep 2020,24 Sep 2020,221.81,"2130 Stacy Mountain
173
+ Johntown, DC 84450",341872398754994,BASIC
174
+ 1505,fscott@example.org,True,14.21,26 Apr 2020,22 May 2020,209.68,"83628 Cook Tunnel
175
+ Lake Kendraview, MS 13005",4633821844192,DELUXE
176
+ 1403,stevensdon@example.com,False,43.47,08 Jul 2020,22 Jul 2020,83.8,"78134 Rodgers Cape Apt. 491
177
+ Nicholstown, NY 75108",676295653841,BASIC
178
+ 786,marquezcassandra@example.net,False,22.73,30 Jun 2020,02 Aug 2020,97.18,"9021 Mitchell Forges Suite 288
179
+ North Victoriaberg, MS 69177",3510624673624130,BASIC
180
+ 1044,thompsonjackie@example.org,True,13.95,22 Apr 2020,30 Apr 2020,228.4,"751 Jacobs Views
181
+ Collinsfurt, VA 08913",4914113706221478,BASIC
182
+ 1023,carolyn87@example.com,False,28.47,02 Jan 2021,30 Nov 2020,150.65,"USNV Smith
183
+ FPO AA 31308",373855395002112,DELUXE
184
+ 1129,blakemorgan@example.net,False,19.81,20 Apr 2020,19 Jun 2020,231.12,"04480 Williams Turnpike Suite 320
185
+ South Thomas, IL 64980",213191715283172,BASIC
186
+ 1201,fostersandra@example.com,False,2.93,11 Jul 2020,19 Jul 2020,183.69,"9119 Schneider Landing
187
+ Jordanfurt, LA 52019",502046820499,BASIC
188
+ 1276,tedwards@example.org,False,14.32,29 Mar 2020,24 Apr 2020,159.45,"95443 Shaun Pike
189
+ Lake Michaelberg, FL 66117",630419233493,BASIC
190
+ 907,floressheila@example.net,False,19.11,14 Apr 2020,18 Mar 2020,164.46,"451 King Center
191
+ South Brenda, FL 48238",4373367848890749,BASIC
192
+ 496,tammycarey@example.net,False,19.27,18 Apr 2020,27 May 2020,204.5,"60371 Ruiz Highway
193
+ Smithberg, DE 13319",4716059563401606,SUITE
194
+ 262,johnsonbenjamin@example.net,False,14.37,25 May 2020,30 Mar 2020,151.15,"546 Stephanie Motorway
195
+ Wrightton, NH 05306",3527978123171626,BASIC
196
+ 1464,johnsonalexandria@example.com,False,18.0,13 May 2020,14 May 2020,151.18,"3683 Ashley Place Apt. 420
197
+ West Ericland, VA 54016",377231341239677,BASIC
198
+ 1273,juliecrawford@example.com,False,32.09,01 Sep 2020,14 Aug 2020,122.93,"9211 Holt Walk Apt. 156
199
+ Port Tonya, ME 59390",30570851040408,BASIC
200
+ 189,xsmith@example.org,True,12.13,27 Aug 2020,15 Aug 2020,209.1,"992 Joshua Ford
201
+ North Dana, CT 83933",6581546438825693,DELUXE
202
+ 345,dtaylor@example.org,False,,07 Jan 2020,04 Mar 2020,119.64,"25706 Cynthia Squares
203
+ South Jasonmouth, VA 05111",3556247767667313,BASIC
204
+ 884,michelle77@example.org,False,,04 Jul 2020,05 Jul 2020,163.69,"PSC 7714, Box 8160
205
+ APO AA 86323",3528417447558944,BASIC
206
+ 687,joshuamcknight@example.com,False,24.49,11 Apr 2020,20 May 2020,111.86,"1247 Miller Roads Suite 925
207
+ North Michaelton, GA 31899",36703391047476,BASIC
208
+ 91,dmatthews@example.net,False,2.74,27 Jul 2020,11 Aug 2020,143.4,"436 Ricardo Trail
209
+ Danielchester, OR 26069",676392064587,BASIC
210
+ 912,pattersonmary@example.net,True,,31 May 2020,11 Jun 2020,111.45,"91709 Elizabeth Crossing Apt. 182
211
+ West Shannonfurt, NY 53283",3506172544381593,BASIC
212
+ 143,andrew74@example.net,False,4.11,26 Jul 2020,23 Jul 2020,139.55,"964 Crawford Vista
213
+ Port Chad, AZ 58132",3592499992775801,BASIC
214
+ 1417,jacobwright@example.net,False,24.46,29 Dec 2020,11 Jan 2021,226.47,"USNV Stein
215
+ FPO AE 57856",30491238727288,BASIC
216
+ 1570,dylanreed@example.org,False,22.55,09 Jan 2020,27 Dec 2019,241.93,"35100 Hicks Stravenue Suite 748
217
+ Ronaldborough, NM 46600",3523353148116010,BASIC
218
+ 1579,michael78@example.net,False,31.79,20 Sep 2020,06 Sep 2020,151.51,"771 Dana Groves
219
+ Kellyview, DE 79963",180020215382995,BASIC
220
+ 579,williamslori@example.org,False,14.35,18 Oct 2020,30 Aug 2020,142.78,"65942 Green Throughway Apt. 363
221
+ Nicholeland, TN 31704",30528377714526,BASIC
222
+ 335,lcarey@example.org,False,9.05,12 Jan 2020,25 Jan 2020,151.36,"2638 Blackburn Neck
223
+ Butlerstad, IL 07508",5140426941254853,BASIC
224
+ 1938,morrowmary@example.com,False,30.88,03 Aug 2020,25 Aug 2020,168.7,"954 Miles Walk Suite 762
225
+ Omarbury, FL 38820",340192059429617,BASIC
226
+ 1530,john67@example.com,False,34.46,28 Oct 2020,14 Oct 2020,228.86,"77119 Edward Plaza
227
+ East Philip, PA 01036",3516126252608058,BASIC
228
+ 1675,christinafreeman@example.org,False,12.18,26 Apr 2020,15 Apr 2020,145.27,"9388 Yoder Fork Apt. 261
229
+ Stephensbury, NV 97609",2230638663560139,BASIC
230
+ 523,colebrent@example.net,True,8.6,28 Aug 2020,11 Aug 2020,256.78,"22996 Angela Crescent
231
+ Colemanview, IN 36534",4888402052956999,SUITE
232
+ 472,robinsonvictoria@example.net,True,9.98,17 Sep 2020,08 Sep 2020,126.35,"786 Evan Forges Suite 792
233
+ West Lisa, WA 48988",4856307889619,BASIC
234
+ 1364,hallkevin@example.com,False,20.29,08 Feb 2020,12 Feb 2020,124.84,"0549 Rebecca Glen Suite 573
235
+ North Matthew, IN 73252",213106630040978,BASIC
236
+ 829,sally57@example.com,True,2.8,26 Aug 2020,19 Aug 2020,202.68,"7405 Davis Greens Suite 142
237
+ Lake Franklinstad, CT 56264",3563763044323489,BASIC
238
+ 1608,bcochran@example.com,False,16.87,05 Jun 2020,11 Jul 2020,183.67,"3191 Roy Springs Apt. 076
239
+ Port Josephhaven, LA 48277",3528075858211286,BASIC
240
+ 1411,diazapril@example.net,False,26.39,06 Jun 2020,14 Jun 2020,127.63,"42847 Chapman Road Suite 214
241
+ North David, NC 92908",4442219209190861,BASIC
242
+ 298,julia69@example.net,False,21.28,07 Aug 2020,14 Jul 2020,145.24,"27730 Carlos Mission
243
+ East David, DC 57012",4252848940485,BASIC
244
+ 581,johnsonkristina@example.org,False,26.91,26 Apr 2020,29 Apr 2020,163.21,"85898 Bill Corners Apt. 420
245
+ West Jeffreychester, ID 08930",6011394966394851,BASIC
246
+ 1395,vsuarez@example.org,True,20.14,27 Sep 2020,02 Oct 2020,281.96,"426 Beck Valleys Suite 712
247
+ Port Veronica, DC 70276",2239703000930741,DELUXE
248
+ 1265,charlesbarnes@example.net,False,26.68,05 Aug 2020,07 Aug 2020,135.06,"727 Christopher Stream Suite 644
249
+ Bairdmouth, AR 16127",4725626495020,BASIC
250
+ 358,murrayjavier@example.org,False,11.6,26 Mar 2020,17 Mar 2020,93.39,"154 Linda Brooks
251
+ South Paul, MD 72616",4788907100142841483,BASIC
252
+ 525,garybeck@example.org,False,0.0,24 Jan 2020,12 Mar 2020,91.45,"727 Bates Lane Suite 718
253
+ North Kayla, HI 16185",4399201237418459,BASIC
254
+ 1224,acruz@example.com,False,29.56,08 Sep 2020,10 Sep 2020,167.08,"75823 Smith Inlet Apt. 302
255
+ Salinasborough, NM 17874",213183472743878,BASIC
256
+ 463,dennismorse@example.org,False,6.22,19 Jul 2020,10 Jul 2020,233.86,"029 Anderson Mall
257
+ North Samuel, IL 48358",561164931355,BASIC
258
+ 1272,dcunningham@example.org,False,3.65,05 Apr 2020,02 Mar 2020,183.9,"547 Kimberly Rest
259
+ Deleonburgh, OK 82676",4512004801052049,BASIC
260
+ 47,lydiabenjamin@example.net,True,11.76,26 Jul 2020,28 Jun 2020,187.75,"44714 Rice Meadows
261
+ North Valerieshire, WA 22276",501891404730,BASIC
262
+ 697,kstevenson@example.com,False,24.49,11 Apr 2020,10 May 2020,108.04,"27738 Garcia Motorway
263
+ Johnsonfort, WA 86175",4909613909106589,BASIC
264
+ 1926,huntthomas@example.com,False,13.58,24 Jan 2021,31 Dec 2020,188.43,"9978 Howard Pass Apt. 160
265
+ South Bobby, DE 25788",3571533230068580,BASIC
266
+ 541,elizabeth48@example.org,False,13.68,27 Feb 2021,02 Feb 2021,285.9,"0080 Palmer Lights
267
+ Haleland, MN 47262",4288175115252541,BASIC
268
+ 1283,castillorobert@example.net,False,22.33,18 Apr 2020,,163.09,"23060 Smith Port Suite 368
269
+ New Craig, FL 04926",4920875405253489,BASIC
270
+ 1786,alexis17@example.org,True,9.21,02 Apr 2020,16 Apr 2020,126.71,"98470 Hanson Crescent
271
+ Frytown, WV 67965",4571123086288,BASIC
272
+ 1157,vanessabrooks@example.net,False,15.23,07 Apr 2020,17 May 2020,180.39,"59708 Cody River Apt. 940
273
+ Bryanberg, NE 77541",36271595213088,BASIC
274
+ 1266,amy06@example.com,False,15.35,12 May 2020,07 May 2020,100.12,"402 Krystal Motorway
275
+ Hillland, ID 50295",6598542725109678,BASIC
276
+ 1759,solomonsamantha@example.org,False,15.97,03 Aug 2020,09 Jul 2020,196.14,"17635 Tina Brook Apt. 301
277
+ Juanfort, AK 75288",676258106605,BASIC
278
+ 1619,whitedeanna@example.net,False,27.22,26 Aug 2020,04 Aug 2020,217.35,"PSC 8510, Box 4470
279
+ APO AE 94564",3565689756397585,DELUXE
280
+ 662,jenniferthomas@example.net,False,,23 Aug 2020,01 Aug 2020,85.26,"USCGC Blanchard
281
+ FPO AA 26095",3515432170279142,BASIC
282
+ 1058,wwhite@example.net,False,14.91,30 Jul 2020,13 Aug 2020,83.8,"559 Kathryn Junction Suite 062
283
+ West Johnstad, DC 77112",4589926723253,BASIC
284
+ 1327,deleonvictor@example.com,False,9.07,29 May 2020,01 Jun 2020,113.34,"39242 Thomas Plaza
285
+ Davismouth, ME 63598",4718688139907593717,BASIC
286
+ 1614,chadlee@example.com,False,34.75,05 Sep 2020,,225.67,"32643 Johnson Mall Apt. 883
287
+ Edwardshire, WV 30192",376213994059884,BASIC
288
+ 1190,ryanduarte@example.com,False,33.69,13 Feb 2021,01 Jan 2021,210.18,"942 Patrick Island
289
+ West Dominic, MT 60379",4078720513894933,DELUXE
290
+ 632,michaelbaker@example.com,False,12.33,14 Mar 2021,29 Jan 2021,92.06,"457 Glen Terrace Suite 393
291
+ North Robertmouth, OR 39514",3578908942320565,BASIC
292
+ 471,kelly08@example.com,False,28.09,13 May 2020,12 Apr 2020,148.23,"8788 Erin Orchard Apt. 839
293
+ South Stephanie, OH 15547",676335420813,BASIC
294
+ 1867,emayer@example.com,False,23.9,02 Jul 2020,25 Jul 2020,199.2,"66113 Gina Spurs Apt. 254
295
+ South Josephfurt, MS 58137",4187960210358588,BASIC
296
+ 1888,dale78@example.com,False,10.35,05 Jul 2020,31 Jul 2020,105.07,"58862 Matthew Estates
297
+ Lake Lisahaven, SD 46959",6011867388788180,BASIC
298
+ 760,hallrichard@example.com,False,34.48,04 Oct 2020,28 Oct 2020,137.13,"5299 Kelley Squares Suite 174
299
+ Marcusview, MS 70575",213172705847572,BASIC
300
+ 412,olivia80@example.org,False,15.99,06 May 2020,24 May 2020,193.93,"1391 Kyle Spring Suite 670
301
+ East Amanda, NC 79116",180021447441948,BASIC
302
+ 1917,millerrobert@example.com,False,13.56,05 May 2020,21 Apr 2020,110.48,"2615 Isaac Isle
303
+ Brittanystad, VA 89984",4061317017915600,BASIC
304
+ 1796,brianvazquez@example.net,False,38.43,31 Aug 2020,23 Jul 2020,83.8,"9509 Adam Prairie
305
+ Lake Katherine, PA 70083",38643046606326,BASIC
306
+ 757,katie70@example.net,False,28.37,11 Jun 2020,10 Jul 2020,229.57,"9095 Harrington Vista
307
+ Gloverport, RI 97890",4396914341090955,BASIC
308
+ 1885,valerie47@example.org,False,18.32,24 Jun 2020,24 Jul 2020,201.04,"3185 Davis Corner
309
+ East Danashire, AK 85891",3501763394149612,BASIC
310
+ 198,lauren41@example.com,True,22.29,10 Jul 2020,05 Jul 2020,101.07,"619 Oconnor Island Apt. 615
311
+ West Shelia, DC 03590",4025890387301945,BASIC
312
+ 1733,lgutierrez@example.net,False,13.44,18 Apr 2020,19 Mar 2020,179.93,"683 Marissa Island Suite 963
313
+ Jessicamouth, VA 94263",4983641951275316,BASIC
314
+ 1333,julie06@example.org,False,43.71,02 Aug 2020,11 Sep 2020,212.36,"64624 Catherine Forest Apt. 063
315
+ North Phillip, NV 53460",36883428399379,SUITE
316
+ 43,latoya51@example.org,True,14.7,30 May 2020,21 Jun 2020,199.79,"722 Kristine Dam Apt. 241
317
+ East Josephport, IN 63844",340691490658064,DELUXE
318
+ 98,garydavid@example.net,False,29.1,08 Dec 2020,26 Dec 2020,154.08,"481 Daniel Coves
319
+ East Ambershire, NV 38036",566554083360,BASIC
320
+ 540,pgordon@example.org,False,,09 Jun 2020,07 Jul 2020,110.47,"Unit 5538 Box 2029
321
+ DPO AE 29443",213139485061302,BASIC
322
+ 448,morganmegan@example.org,False,33.81,16 Jul 2020,31 Jul 2020,162.14,"302 Alexandra Causeway
323
+ Delacruzborough, RI 29900",180088115620251,BASIC
324
+ 1404,michaelhowell@example.com,False,0.0,28 Dec 2019,05 Dec 2019,184.42,"45276 Perez Mountains
325
+ Port Markborough, KS 57162",30002350505756,BASIC
326
+ 1780,dianabond@example.org,False,26.75,24 Apr 2020,01 Jul 2020,104.75,"PSC 2408, Box 1639
327
+ APO AA 78178",213177943151968,BASIC
328
+ 132,nwolf@example.com,False,24.14,15 Apr 2020,27 Mar 2020,150.8,"879 Fitzpatrick Ridges Suite 622
329
+ Mariaberg, MO 42659",372363482955103,BASIC
330
+ 252,spencejohn@example.org,False,18.32,08 Nov 2020,19 Oct 2020,112.93,"277 Edwards Plain
331
+ Wilsonstad, WA 15900",2279333050133656,BASIC
332
+ 1802,chasemendez@example.org,False,29.46,28 May 2020,31 May 2020,87.81,"9119 Kevin Glens Suite 772
333
+ Port Thomaston, KY 46129",4598542200036187516,BASIC
334
+ 131,coloncatherine@example.net,True,10.75,20 Dec 2020,15 Dec 2020,247.92,"847 Howard Spur Apt. 501
335
+ Jacobburgh, MO 40365",4122875311580468,SUITE
336
+ 706,daniellecline@example.org,False,18.16,30 Sep 2020,01 Sep 2020,120.04,"152 Jacob Square Suite 824
337
+ Lake Kirsten, GA 88769",60426371187,BASIC
338
+ 1756,daniel24@example.org,False,23.25,15 Aug 2020,09 Aug 2020,230.39,"PSC 8055, Box 4095
339
+ APO AP 02448",503859086327,BASIC
340
+ 507,harold60@example.org,True,,09 Aug 2020,22 Aug 2020,185.89,"9142 Collin Manor
341
+ Stevenside, NV 70806",3598598963519926,BASIC
342
+ 1835,harriscraig@example.com,False,9.52,14 Jun 2020,30 Jul 2020,128.36,"PSC 9960, Box 4207
343
+ APO AA 37963",372338804922643,BASIC
344
+ 1873,jamesmoon@example.net,False,13.43,05 Feb 2020,28 Mar 2020,129.77,"22004 Wood Mews
345
+ Danielchester, NJ 97916",36671265155016,BASIC
346
+ 1910,brandon04@example.net,False,0.0,06 Nov 2020,05 Oct 2020,125.47,"397 Barnett Flats
347
+ Nicholsside, FL 94722",4284881972662193,BASIC
348
+ 736,ytaylor@example.com,False,19.08,14 Sep 2020,,149.22,"965 Hernandez Ramp Suite 244
349
+ Grossside, GA 83751",30292514212593,BASIC
350
+ 1901,fwalker@example.org,False,20.94,18 Apr 2020,07 Apr 2020,137.07,"61534 Anthony Stravenue
351
+ Port Autumnshire, OR 75966",4890609852499899,BASIC
352
+ 910,guerrajonathan@example.net,False,15.79,09 Apr 2020,14 Apr 2020,179.47,"Unit 5053 Box 7019
353
+ DPO AP 60012",3509408597755573,BASIC
354
+ 1892,ohenderson@example.org,False,14.36,06 Aug 2020,16 Jul 2020,149.71,"57368 Anna Cliffs
355
+ Angelafort, WA 44671",6569565619463708,BASIC
356
+ 1429,tatemitchell@example.net,False,17.87,25 Aug 2020,19 Aug 2020,83.8,"814 Olivia Bypass
357
+ South Donnaland, GA 04973",4378760447231,BASIC
358
+ 519,megan20@example.com,False,27.34,08 Nov 2020,03 Nov 2020,127.51,"579 Bianca Circle
359
+ Anthonybury, TX 54528",213157883032055,BASIC
360
+ 590,margarethorton@example.org,False,15.4,26 Jun 2020,10 Jun 2020,97.79,"6338 Kevin Bypass Suite 759
361
+ Walkerborough, SD 17289",2233272174616367,BASIC
362
+ 151,matthewsdavid@example.net,False,14.56,09 Aug 2020,03 Sep 2020,179.31,"9526 Melinda Branch Suite 583
363
+ Skinnerborough, CA 20709",2261110966057157,BASIC
364
+ 1041,ksanders@example.net,False,12.13,18 Jul 2020,08 Aug 2020,242.39,"85666 Lynn Mountain Suite 625
365
+ West Marcus, CO 55735",2558031247053892,DELUXE
366
+ 214,zjames@example.org,False,14.67,19 Apr 2020,,103.54,"00180 Day Shore Apt. 114
367
+ East Calebchester, PA 35718",4864900572946448,BASIC
368
+ 533,erin57@example.org,True,4.46,27 Mar 2020,14 Mar 2020,155.23,"80986 Robert Islands
369
+ Lake Jamie, MA 04277",6564460378291604,BASIC
370
+ 846,thomaswilliams@example.org,False,10.48,30 Mar 2020,04 Apr 2020,133.62,"1658 Williams Mountain Suite 115
371
+ Toddchester, NV 83167",343812302380799,BASIC
372
+ 592,jeffrey93@example.com,False,7.0,09 Jun 2020,,228.46,"6888 Gibson Streets
373
+ West Christopher, FL 45776",4104785155005450,BASIC
374
+ 1337,frankbarnes@example.com,False,21.21,09 Dec 2020,15 Jan 2021,106.69,"33192 Cox Hill
375
+ Jeffreybury, VA 71162",6592303526210884,BASIC
376
+ 1440,ojohnson@example.net,False,41.08,07 Mar 2020,02 Feb 2020,170.84,"25427 Mahoney Stream
377
+ New Frankfort, MA 38127",4317808270275486,BASIC
378
+ 1075,stonerobert@example.com,False,14.73,01 Dec 2020,19 Dec 2020,245.02,"650 Cox Street Suite 886
379
+ East Danielleberg, TX 14382",3543084467427532,DELUXE
380
+ 1390,ycampbell@example.org,False,0.0,31 Jan 2020,01 Feb 2020,125.92,"30341 Mario Grove
381
+ Travischester, SC 88709",4780116122070637141,BASIC
382
+ 1396,nallen@example.net,False,18.32,20 May 2020,04 Jun 2020,205.19,"USNS Sweeney
383
+ FPO AE 36215",5282130052603688,BASIC
384
+ 900,williamsoneric@example.org,True,,16 Aug 2020,17 Sep 2020,225.38,"78333 Roth Path
385
+ Jonathanborough, LA 44524",6011808736346909,DELUXE
386
+ 270,bryanwong@example.com,False,29.21,12 Jun 2020,22 Jun 2020,209.31,"7079 Ann Squares
387
+ Smithstad, MI 06452",4809017074808,BASIC
388
+ 92,michelewalters@example.org,False,5.09,25 Jul 2020,19 Jul 2020,153.0,"06729 James Neck
389
+ Floreshaven, ID 78934",4477082823226,BASIC
390
+ 570,hortontiffany@example.net,False,11.28,05 Mar 2021,01 Feb 2021,105.73,"86268 Macias Walk
391
+ East Amanda, SD 79810",3537708749002246,BASIC
392
+ 1048,jasminekane@example.net,True,5.41,21 Apr 2020,20 Feb 2020,202.08,"561 Holmes Pine Suite 978
393
+ Taylormouth, IN 42983",4605306175140401,SUITE
394
+ 416,xturner@example.net,False,21.55,17 Jul 2020,11 Jul 2020,83.8,"294 Richard Tunnel
395
+ New Michelle, WI 85205",4099787936480215,BASIC
396
+ 1223,navarrolinda@example.org,False,0.0,02 Jun 2020,25 May 2020,181.38,"60213 Reed Dale Apt. 030
397
+ East Kevinborough, ID 43443",6011927423272887,BASIC
398
+ 1181,dprince@example.org,False,25.63,21 Dec 2020,24 Dec 2020,166.44,"853 Christian Spurs Apt. 645
399
+ North Carolinehaven, OK 85989",180003276387327,BASIC
400
+ 839,jensenzachary@example.org,False,0.0,29 Apr 2020,13 May 2020,197.29,"50127 Walker Mountains
401
+ Edwardchester, ND 81402",3518212385629811,BASIC
402
+ 1706,younglinda@example.org,False,13.96,01 May 2020,10 May 2020,99.43,"PSC 0103, Box 5166
403
+ APO AA 64202",4707498526948389,BASIC
classification/unipredict/bhavkaur-hotel-guests-dataset/test.jsonl ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The Unnamed: 0 is 1487. The guest_email is beckyburke@example.com. The has_rewards is 0. The amenities_fee is 10.24. The checkin_date is 30 Jun 2020. The checkout_date is 28 Jul 2020. The room_rate is 129.96. The billing_address is 527 Tran Road\nMartinville, TN 96531. The credit_card_number is 36064776645412.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The Unnamed: 0 is 1415. The guest_email is jchan@example.net. The has_rewards is 0. The amenities_fee is 18.75. The checkin_date is 08 Oct 2020. The checkout_date is 11 Nov 2020. The room_rate is 125.77. The billing_address is 330 Jones Lodge Apt. 854\nEast Katrinaview, WV 72738. The credit_card_number is 4252550059489006.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The Unnamed: 0 is 1688. The guest_email is mark15@example.net. The has_rewards is 0. The amenities_fee is 19.54. The checkin_date is 10 Mar 2020. The checkout_date is 28 Feb 2020. The room_rate is 177.25. The billing_address is 866 Garcia Summit\nWest Elizabeth, DE 31325. The credit_card_number is 4789017381267987476.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The Unnamed: 0 is 659. The guest_email is richard04@example.net. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 03 Nov 2020. The checkout_date is 25 Oct 2020. The room_rate is 189.55. The billing_address is USCGC Griffith\nFPO AP 72703. The credit_card_number is 30545570648244.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The Unnamed: 0 is 601. The guest_email is kaitlyn60@example.org. The has_rewards is 0. The amenities_fee is 11.74. The checkin_date is 03 Nov 2020. The checkout_date is 16 Nov 2020. The room_rate is 229.27. The billing_address is 49596 Lisa Lane Apt. 693\nSouth Brenda, NE 17392. The credit_card_number is 346119810452269.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The Unnamed: 0 is 77. The guest_email is payala@example.com. The has_rewards is 1. The amenities_fee is 0.0. The checkin_date is 08 Apr 2021. The checkout_date is 10 Apr 2021. The room_rate is 83.8. The billing_address is 415 Moore Terrace Apt. 648\nTamaraburgh, TN 38949. The credit_card_number is 2223282089214739.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The Unnamed: 0 is 183. The guest_email is carpenterdonald@example.com. The has_rewards is 0. The amenities_fee is 29.52. The checkin_date is 14 Apr 2020. The checkout_date is 22 Apr 2020. The room_rate is 167.13. The billing_address is 54317 Matthews Summit Suite 371\nLeeport, FL 50124. The credit_card_number is 3559759915511208.", "label": "SUITE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The Unnamed: 0 is 902. The guest_email is todd27@example.net. The has_rewards is 1. The amenities_fee is 15.4. The checkin_date is 22 Mar 2020. The checkout_date is 28 Mar 2020. The room_rate is 195.08. The billing_address is 917 Joshua Ports Suite 466\nNorth Jennifer, SD 24468. The credit_card_number is 345490766227364.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The Unnamed: 0 is 300. The guest_email is gmeyers@example.org. The has_rewards is 0. The amenities_fee is 13.94. The checkin_date is 24 Jun 2020. The checkout_date is 19 May 2020. The room_rate is 83.8. The billing_address is Unit 7113 Box 4707\nDPO AA 83557. The credit_card_number is 676326840995.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The Unnamed: 0 is 1908. The guest_email is annahartman@example.com. The has_rewards is 0. The amenities_fee is 14.65. The checkin_date is 26 Apr 2020. The checkout_date is 30 Mar 2020. The room_rate is 149.58. The billing_address is 4294 Myers Street Apt. 060\nLake Shannon, CT 21565. The credit_card_number is 373421974008432.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The Unnamed: 0 is 1561. The guest_email is judygonzalez@example.org. The has_rewards is 1. The amenities_fee is 10.85. The checkin_date is 13 Apr 2020. The checkout_date is 25 Jun 2020. The room_rate is 111.64. The billing_address is 54078 Dwayne Ferry Suite 975\nRiverashire, WI 24027. The credit_card_number is 4808135464875.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The Unnamed: 0 is 1644. The guest_email is kanderson@example.net. The has_rewards is 0. The amenities_fee is 14.67. The checkin_date is 22 Jul 2020. The checkout_date is 27 Jun 2020. The room_rate is 189.31. The billing_address is 4360 Travis Mountains Suite 616\nMaryfort, WY 33330. The credit_card_number is 6011130925610254.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The Unnamed: 0 is 1564. The guest_email is jwallace@example.org. The has_rewards is 0. The amenities_fee is 16.59. The checkin_date is 17 Feb 2021. The checkout_date is 18 Mar 2021. The room_rate is 169.17. The billing_address is 627 Park Walk Suite 809\nKingville, PA 34538. The credit_card_number is 3597854680429571.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The Unnamed: 0 is 1771. The guest_email is darrell11@example.com. The has_rewards is 0. The amenities_fee is 11.85. The checkin_date is 22 Feb 2020. The checkout_date is 17 Feb 2020. The room_rate is 230.43. The billing_address is 805 Buck Rapid\nDavisshire, MO 68071. The credit_card_number is 676332751814.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The Unnamed: 0 is 319. The guest_email is gosborn@example.com. The has_rewards is 0. The amenities_fee is 20.38. The checkin_date is 29 May 2020. The checkout_date is 13 May 2020. The room_rate is 156.33. The billing_address is 24991 Bob Landing\nEast Stephanie, OH 00811. The credit_card_number is 342590162376245.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The Unnamed: 0 is 1693. The guest_email is jon26@example.org. The has_rewards is 0. The amenities_fee is 23.88. The checkin_date is 14 Oct 2020. The checkout_date is 23 Aug 2020. The room_rate is 274.17. The billing_address is 3317 Diaz Square Suite 979\nBennettside, IL 88401. The credit_card_number is 4543807678946.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The Unnamed: 0 is 868. The guest_email is nancy31@example.com. The has_rewards is 0. The amenities_fee is 22.87. The checkin_date is 15 Nov 2020. The checkout_date is 02 Oct 2020. The room_rate is 105.99. The billing_address is 05979 Richard Route\nPort Amberland, WV 64947. The credit_card_number is 30150773902082.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The Unnamed: 0 is 175. The guest_email is longgloria@example.net. The has_rewards is 0. The amenities_fee is 24.46. The checkin_date is 02 Jan 2021. The checkout_date is 28 Dec 2020. The room_rate is 83.8. The billing_address is 249 Williams Rapid Apt. 293\nHuntside, NY 48409. The credit_card_number is 4337840826533932.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The Unnamed: 0 is 847. The guest_email is vanessaramsey@example.org. The has_rewards is 0. The amenities_fee is 8.09. The checkin_date is 03 Apr 2020. The checkout_date is 07 Apr 2020. The room_rate is 83.8. The billing_address is 211 Lisa Square Suite 760\nLeeburgh, AL 31489. The credit_card_number is 4020639829180717618.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The Unnamed: 0 is 802. The guest_email is justin49@example.net. The has_rewards is 0. The amenities_fee is 9.3. The checkin_date is 13 Jul 2020. The checkout_date is 10 Jul 2020. The room_rate is 243.31. The billing_address is 45799 Jones Extensions Apt. 234\nWest Davidside, MD 67262. The credit_card_number is 4389882982856.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The Unnamed: 0 is 302. The guest_email is jessica33@example.org. The has_rewards is 0. The amenities_fee is 19.84. The checkin_date is 10 May 2020. The checkout_date is 28 May 2020. The room_rate is 139.04. The billing_address is 85320 Kevin Shoals\nNorth Kelly, LA 22632. The credit_card_number is 6546071260533194.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The Unnamed: 0 is 551. The guest_email is traci65@example.net. The has_rewards is 0. The amenities_fee is 13.11. The checkin_date is 08 May 2020. The checkout_date is 14 Apr 2020. The room_rate is 134.56. The billing_address is 05968 Reed Forges Suite 480\nMarymouth, ND 29201. The credit_card_number is 379237200057462.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The Unnamed: 0 is 1267. The guest_email is davidparks@example.net. The has_rewards is 0. The amenities_fee is 24.88. The checkin_date is 31 Dec 2020. The checkout_date is 10 Dec 2020. The room_rate is 153.57. The billing_address is 8374 Melissa Road\nEast Yvonneberg, CT 74233. The credit_card_number is 4805500116308568.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The Unnamed: 0 is 1727. The guest_email is daviscynthia@example.net. The has_rewards is 1. The amenities_fee is 2.1. The checkin_date is 12 Mar 2020. The checkout_date is 11 Mar 2020. The room_rate is 205.77. The billing_address is 3556 Jessica Crest\nOliverfort, OK 60937. The credit_card_number is 372736538061986.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The Unnamed: 0 is 1124. The guest_email is brianmoore@example.org. The has_rewards is 0. The amenities_fee is 19.53. The checkin_date is 13 May 2020. The checkout_date is 22 Apr 2020. The room_rate is 170.77. The billing_address is USNV Oneal\nFPO AE 12651. The credit_card_number is 30197275275012.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The Unnamed: 0 is 1436. The guest_email is vanessa68@example.net. The has_rewards is 0. The amenities_fee is 25.61. The checkin_date is 20 Jun 2020. The checkout_date is 06 Jun 2020. The room_rate is 195.82. The billing_address is 743 Timothy Wells Apt. 661\nTriciafort, AR 50629. The credit_card_number is 180019919069148.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The Unnamed: 0 is 836. The guest_email is robert05@example.com. The has_rewards is 0. The amenities_fee is 6.03. The checkin_date is 25 Aug 2020. The checkout_date is 04 Sep 2020. The room_rate is 98.24. The billing_address is 371 Walker Row\nCamachochester, FL 21810. The credit_card_number is 2716558493925471.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The Unnamed: 0 is 1114. The guest_email is hduran@example.org. The has_rewards is 0. The amenities_fee is 13.04. The checkin_date is 05 Nov 2019. The checkout_date is 27 Nov 2019. The room_rate is 83.8. The billing_address is 381 Katherine Unions\nParsonsborough, AR 96382. The credit_card_number is 4000809767664648.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The Unnamed: 0 is 452. The guest_email is robertblair@example.org. The has_rewards is 0. The amenities_fee is 16.42. The checkin_date is 20 Apr 2020. The checkout_date is 31 May 2020. The room_rate is 202.61. The billing_address is PSC 5598, Box 0903\nAPO AA 55663. The credit_card_number is 502075499827.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The Unnamed: 0 is 906. The guest_email is patriciasullivan@example.com. The has_rewards is 1. The amenities_fee is 4.15. The checkin_date is 23 Apr 2020. The checkout_date is 30 Apr 2020. The room_rate is 224.32. The billing_address is 95896 Jordan Village Suite 777\nPort Melissamouth, LA 63796. The credit_card_number is 4144926967219.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The Unnamed: 0 is 976. The guest_email is sheilale@example.net. The has_rewards is 0. The amenities_fee is 19.56. The checkin_date is 08 Jan 2021. The checkout_date is unknown. The room_rate is 252.28. The billing_address is Unit 5822 Box 0801\nDPO AE 71775. The credit_card_number is 4794426168399664.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The Unnamed: 0 is 689. The guest_email is scott85@example.net. The has_rewards is 0. The amenities_fee is 16.21. The checkin_date is 26 Oct 2020. The checkout_date is 10 Oct 2020. The room_rate is 170.57. The billing_address is Unit 4776 Box 4334\nDPO AE 95185. The credit_card_number is 4668384678985162.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The Unnamed: 0 is 504. The guest_email is robertwatson@example.net. The has_rewards is 0. The amenities_fee is 8.89. The checkin_date is 19 Oct 2020. The checkout_date is 02 Nov 2020. The room_rate is 167.83. The billing_address is 78067 Mark Route\nJacobfort, MI 55667. The credit_card_number is 4526613273846.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The Unnamed: 0 is 21. The guest_email is catherinemccormick@example.net. The has_rewards is 0. The amenities_fee is 3.31. The checkin_date is 31 May 2020. The checkout_date is unknown. The room_rate is 86.15. The billing_address is 90441 Jaime Junctions Apt. 861\nNew Elizabethview, MA 60325. The credit_card_number is 376430801126546.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The Unnamed: 0 is 141. The guest_email is andrea02@example.net. The has_rewards is 0. The amenities_fee is 40.7. The checkin_date is 08 Apr 2020. The checkout_date is 25 Apr 2020. The room_rate is 162.8. The billing_address is 66449 Joseph Stravenue\nWest Emily, FL 84577. The credit_card_number is 30227185111997.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The Unnamed: 0 is 506. The guest_email is odomzachary@example.net. The has_rewards is 0. The amenities_fee is 10.72. The checkin_date is 14 Mar 2020. The checkout_date is 28 Feb 2020. The room_rate is 261.25. The billing_address is 0281 Hill Prairie\nHayesville, MA 25174. The credit_card_number is 4116615757426182.", "label": "SUITE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The Unnamed: 0 is 209. The guest_email is lopezsarah@example.org. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 18 Sep 2020. The checkout_date is 27 Sep 2020. The room_rate is 166.74. The billing_address is 205 Joseph Station Apt. 284\nSouth Elizabeth, MN 36402. The credit_card_number is 3557155124247944.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The Unnamed: 0 is 109. The guest_email is patrickangela@example.org. The has_rewards is 0. The amenities_fee is 35.42. The checkin_date is 27 Jan 2020. The checkout_date is 29 Jan 2020. The room_rate is 192.97. The billing_address is 18015 Mccarthy Garden Suite 514\nPort Christophermouth, UT 97615. The credit_card_number is 4573075815347654.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The Unnamed: 0 is 761. The guest_email is marco15@example.org. The has_rewards is 0. The amenities_fee is 0.0. The checkin_date is 08 Apr 2020. The checkout_date is 13 Apr 2020. The room_rate is 129.68. The billing_address is 5917 Decker Land Apt. 098\nFisherfurt, ND 62544. The credit_card_number is 213103399758544.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The Unnamed: 0 is 1720. The guest_email is katherine02@example.com. The has_rewards is 0. The amenities_fee is 1.74. The checkin_date is 02 Jul 2020. The checkout_date is 06 Aug 2020. The room_rate is 83.8. The billing_address is 97884 Mitchell Branch\nEast Stephen, WY 29322. The credit_card_number is 2706621590946444.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The Unnamed: 0 is 817. The guest_email is kathrynhenry@example.com. The has_rewards is 1. The amenities_fee is unknown. The checkin_date is 18 May 2020. The checkout_date is 06 May 2020. The room_rate is 83.8. The billing_address is Unit 2905 Box 8144\nDPO AE 57178. The credit_card_number is 180070789334815.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The Unnamed: 0 is 446. The guest_email is nguyenmolly@example.org. The has_rewards is 0. The amenities_fee is 7.16. The checkin_date is 25 Oct 2020. The checkout_date is 15 Oct 2020. The room_rate is 126.82. The billing_address is 28330 Elizabeth Mill Suite 514\nPort Matthew, NH 99869. The credit_card_number is 4318872935636226.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The Unnamed: 0 is 955. The guest_email is kimberlydixon@example.com. The has_rewards is 0. The amenities_fee is 16.43. The checkin_date is 05 Nov 2020. The checkout_date is 22 Nov 2020. The room_rate is 129.89. The billing_address is 26637 Andrews Overpass\nZacharystad, NJ 15748. The credit_card_number is 6522697755952651.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The Unnamed: 0 is 1251. The guest_email is anthonymann@example.org. The has_rewards is 0. The amenities_fee is 26.8. The checkin_date is 13 Sep 2020. The checkout_date is 11 Aug 2020. The room_rate is 120.21. The billing_address is USCGC Hinton\nFPO AE 83990. The credit_card_number is 2265073733228988.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The Unnamed: 0 is 594. The guest_email is testrada@example.net. The has_rewards is 0. The amenities_fee is 9.53. The checkin_date is 29 Jan 2021. The checkout_date is 22 Jan 2021. The room_rate is 142.31. The billing_address is 41808 Nicole Inlet\nPort Anthonyhaven, UT 19846. The credit_card_number is 6518145744690780.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The Unnamed: 0 is 1924. The guest_email is vanessa37@example.com. The has_rewards is 0. The amenities_fee is 34.66. The checkin_date is 23 Jun 2020. The checkout_date is 21 Jun 2020. The room_rate is 83.8. The billing_address is PSC 4545, Box 1557\nAPO AP 26374. The credit_card_number is 503842030127.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The Unnamed: 0 is 22. The guest_email is jesse07@example.net. The has_rewards is 0. The amenities_fee is 15.28. The checkin_date is 01 Dec 2020. The checkout_date is unknown. The room_rate is 221.23. The billing_address is 830 Juan Route Suite 296\nNew Anthony, NC 02145. The credit_card_number is 4037339889329.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The Unnamed: 0 is 1933. The guest_email is adamsrachel@example.org. The has_rewards is 0. The amenities_fee is 13.71. The checkin_date is 16 Dec 2019. The checkout_date is 24 Nov 2019. The room_rate is 83.8. The billing_address is 2353 Garza Squares Suite 479\nSouth Joshuashire, OR 91440. The credit_card_number is 213122430644679.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The Unnamed: 0 is 1416. The guest_email is adamburke@example.org. The has_rewards is 0. The amenities_fee is 28.02. The checkin_date is 14 Sep 2020. The checkout_date is 29 Aug 2020. The room_rate is 224.19. The billing_address is 116 Greene Fords\nPort Dennis, SC 06378. The credit_card_number is 4395100498275800808.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The Unnamed: 0 is 228. The guest_email is charlesemily@example.org. The has_rewards is 0. The amenities_fee is 23.14. The checkin_date is 07 Jan 2021. The checkout_date is 17 Dec 2020. The room_rate is 146.03. The billing_address is 72083 Douglas Locks\nNew Mauriceside, ID 05041. The credit_card_number is 4982443854448.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The Unnamed: 0 is 1237. The guest_email is heather92@example.net. The has_rewards is 0. The amenities_fee is 27.69. The checkin_date is 08 Mar 2020. The checkout_date is 08 Apr 2020. The room_rate is 125.44. The billing_address is 640 Donald Pines Apt. 699\nLake Anthonyview, PA 22062. The credit_card_number is 60432455396.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The Unnamed: 0 is 331. The guest_email is brendabarrett@example.com. The has_rewards is 0. The amenities_fee is 31.11. The checkin_date is 01 Mar 2021. The checkout_date is 08 Jan 2021. The room_rate is 169.52. The billing_address is Unit 1282 Box 4625\nDPO AA 07224. The credit_card_number is 676275545108.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The Unnamed: 0 is 1271. The guest_email is karen70@example.net. The has_rewards is 1. The amenities_fee is 0.0. The checkin_date is 08 Jun 2020. The checkout_date is 17 Jun 2020. The room_rate is 274.25. The billing_address is 24444 Melanie Haven Apt. 750\nEast Johnfort, ND 96431. The credit_card_number is 180083118063864.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The Unnamed: 0 is 19. The guest_email is maria62@example.com. The has_rewards is 0. The amenities_fee is 11.31. The checkin_date is 20 Jun 2020. The checkout_date is 24 May 2020. The room_rate is 253.66. The billing_address is 343 Baldwin Rest Apt. 946\nEast Hollyview, MD 25529. The credit_card_number is 4063896844978.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The Unnamed: 0 is 61. The guest_email is justincervantes@example.org. The has_rewards is 0. The amenities_fee is 20.96. The checkin_date is 19 Jun 2020. The checkout_date is 22 Jun 2020. The room_rate is 158.94. The billing_address is 5653 Donna Walk\nWest Devinburgh, CO 56465. The credit_card_number is 36541279345160.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The Unnamed: 0 is 937. The guest_email is franklinbenjamin@example.net. The has_rewards is 1. The amenities_fee is 11.53. The checkin_date is 14 Aug 2020. The checkout_date is 01 Oct 2020. The room_rate is 171.75. The billing_address is 2243 Kenneth Rapids Apt. 857\nEast Wendychester, TN 28206. The credit_card_number is 343630043360874.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The Unnamed: 0 is 177. The guest_email is teresajones@example.com. The has_rewards is 0. The amenities_fee is 22.85. The checkin_date is 09 Feb 2020. The checkout_date is 26 Feb 2020. The room_rate is 119.47. The billing_address is 86287 Martinez Crest Apt. 574\nSouth Christopherport, UT 69135. The credit_card_number is 502083259569.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The Unnamed: 0 is 855. The guest_email is bruce84@example.net. The has_rewards is 0. The amenities_fee is 20.45. The checkin_date is 12 Dec 2020. The checkout_date is 14 Jan 2021. The room_rate is 83.8. The billing_address is 850 Aaron Club Suite 397\nGardnerland, WI 96203. The credit_card_number is 4986744203155.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The Unnamed: 0 is 1008. The guest_email is bennettmarilyn@example.net. The has_rewards is 0. The amenities_fee is 21.25. The checkin_date is 25 May 2020. The checkout_date is 09 Jun 2020. The room_rate is 83.8. The billing_address is Unit 7223 Box 3318\nDPO AE 10817. The credit_card_number is 502085376361.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The Unnamed: 0 is 387. The guest_email is sherrycook@example.org. The has_rewards is 0. The amenities_fee is 10.92. The checkin_date is 06 Jul 2020. The checkout_date is 01 Jul 2020. The room_rate is 138.95. The billing_address is 50214 Sarah River Suite 893\nPort Charles, OH 88039. The credit_card_number is 4576886415630753.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The Unnamed: 0 is 1458. The guest_email is travisyoung@example.com. The has_rewards is 1. The amenities_fee is 2.6. The checkin_date is 15 May 2020. The checkout_date is 02 Jul 2020. The room_rate is 173.3. The billing_address is 5351 Katherine Drive Apt. 002\nSchneiderville, CT 23185. The credit_card_number is 639075109012.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The Unnamed: 0 is 449. The guest_email is jeffrey87@example.net. The has_rewards is 0. The amenities_fee is 20.16. The checkin_date is 28 Sep 2020. The checkout_date is 26 Oct 2020. The room_rate is 121.2. The billing_address is Unit 9184 Box 1904\nDPO AP 15402. The credit_card_number is 4692762558374373632.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The Unnamed: 0 is 72. The guest_email is jmcconnell@example.com. The has_rewards is 1. The amenities_fee is 11.54. The checkin_date is 21 Sep 2019. The checkout_date is 28 Sep 2019. The room_rate is 83.8. The billing_address is 716 Jodi Heights\nWilliamshaven, SC 51945. The credit_card_number is 4227426144617853509.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The Unnamed: 0 is 1577. The guest_email is crystaldodson@example.com. The has_rewards is 0. The amenities_fee is 12.92. The checkin_date is 11 Feb 2020. The checkout_date is 08 Feb 2020. The room_rate is 180.91. The billing_address is 1450 Pena Way\nArmstrongberg, TN 60338. The credit_card_number is 38857048632367.", "label": "SUITE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The Unnamed: 0 is 737. The guest_email is pnewton@example.org. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 29 Apr 2020. The checkout_date is 15 Apr 2020. The room_rate is 196.98. The billing_address is 5731 Phyllis Turnpike Apt. 159\nLake Kimberly, KY 01976. The credit_card_number is 3555803477595862.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The Unnamed: 0 is 1490. The guest_email is michelle12@example.org. The has_rewards is 0. The amenities_fee is 44.84. The checkin_date is 28 Jun 2020. The checkout_date is 02 Aug 2020. The room_rate is 187.49. The billing_address is 762 Gilbert Viaduct\nRandallview, DC 97000. The credit_card_number is 4538298936662.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The Unnamed: 0 is 1477. The guest_email is michaela46@example.com. The has_rewards is 0. The amenities_fee is 17.62. The checkin_date is 25 Apr 2020. The checkout_date is 27 May 2020. The room_rate is 196.48. The billing_address is 7580 Trevor Villages\nSouth Catherineside, NC 86132. The credit_card_number is 4686116041757986895.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The Unnamed: 0 is 378. The guest_email is nealbailey@example.org. The has_rewards is 1. The amenities_fee is 1.77. The checkin_date is 21 Apr 2020. The checkout_date is 21 Apr 2020. The room_rate is 184.44. The billing_address is 24098 Fletcher Meadows Suite 603\nNew David, IL 75271. The credit_card_number is 340388686831197.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The Unnamed: 0 is 1689. The guest_email is roberta98@example.org. The has_rewards is 0. The amenities_fee is 17.29. The checkin_date is 21 Mar 2020. The checkout_date is 24 Apr 2020. The room_rate is 89.32. The billing_address is 675 Vargas Hill\nLake Christopherland, SC 44039. The credit_card_number is 3563432861002796.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The Unnamed: 0 is 1620. The guest_email is gutierrezamy@example.net. The has_rewards is 0. The amenities_fee is 16.7. The checkin_date is 02 Aug 2020. The checkout_date is 24 Jul 2020. The room_rate is 83.8. The billing_address is 67528 Davies River\nCookberg, FL 82002. The credit_card_number is 3508919391546944.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The Unnamed: 0 is 634. The guest_email is christina32@example.org. The has_rewards is 0. The amenities_fee is 14.69. The checkin_date is 11 Aug 2020. The checkout_date is 05 Aug 2020. The room_rate is 242.97. The billing_address is 45129 Mayo Tunnel Apt. 764\nJamesville, PA 41840. The credit_card_number is 6550311234113670.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The Unnamed: 0 is 664. The guest_email is bvillegas@example.org. The has_rewards is 0. The amenities_fee is 13.58. The checkin_date is 09 Mar 2020. The checkout_date is 18 Jan 2020. The room_rate is 146.61. The billing_address is PSC 9347, Box 9100\nAPO AE 99343. The credit_card_number is 4504835107770234.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The Unnamed: 0 is 153. The guest_email is mannrichard@example.org. The has_rewards is 0. The amenities_fee is 8.15. The checkin_date is 30 Sep 2020. The checkout_date is 18 Sep 2020. The room_rate is 83.8. The billing_address is USNV Harmon\nFPO AP 69966. The credit_card_number is 3580524759052229.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The Unnamed: 0 is 862. The guest_email is wharmon@example.net. The has_rewards is 0. The amenities_fee is 13.96. The checkin_date is 09 Dec 2020. The checkout_date is 03 Dec 2020. The room_rate is 214.79. The billing_address is Unit 4467 Box 0976\nDPO AA 93682. The credit_card_number is 213154715145619.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The Unnamed: 0 is 291. The guest_email is owright@example.com. The has_rewards is 0. The amenities_fee is 24.85. The checkin_date is 16 Nov 2020. The checkout_date is 23 Oct 2020. The room_rate is 124.05. The billing_address is 354 Sara Common Suite 662\nDerektown, MD 18168. The credit_card_number is 4099972820391.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The Unnamed: 0 is 1550. The guest_email is deborah90@example.org. The has_rewards is 0. The amenities_fee is 12.77. The checkin_date is 30 Apr 2021. The checkout_date is 28 Mar 2021. The room_rate is 86.11. The billing_address is USNS Guerra\nFPO AE 39700. The credit_card_number is 36567125248563.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The Unnamed: 0 is 604. The guest_email is hannahwilliams@example.net. The has_rewards is 0. The amenities_fee is 11.94. The checkin_date is 11 Jan 2021. The checkout_date is 19 Dec 2020. The room_rate is 103.18. The billing_address is 1699 Anderson Highway Suite 450\nPort Jeffreyhaven, VT 75182. The credit_card_number is 3530456515623491.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The Unnamed: 0 is 1613. The guest_email is danderson@example.com. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 14 Sep 2020. The checkout_date is 24 Oct 2020. The room_rate is 113.85. The billing_address is 8329 Smith Trafficway\nDonaldtown, IL 42322. The credit_card_number is 4977720478490042.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The Unnamed: 0 is 1590. The guest_email is smithkenneth@example.net. The has_rewards is 0. The amenities_fee is 37.34. The checkin_date is 15 Mar 2020. The checkout_date is 12 Mar 2020. The room_rate is 230.54. The billing_address is USNS Moss\nFPO AP 28645. The credit_card_number is 2224755353582625.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The Unnamed: 0 is 1091. The guest_email is fcohen@example.net. The has_rewards is 1. The amenities_fee is 22.98. The checkin_date is 28 May 2020. The checkout_date is 11 Jun 2020. The room_rate is 196.27. The billing_address is 753 Eileen Key\nCherylfort, HI 95174. The credit_card_number is 565618439733.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The Unnamed: 0 is 750. The guest_email is brentturner@example.net. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 11 Jan 2020. The checkout_date is 29 Dec 2019. The room_rate is 156.48. The billing_address is 041 Eric Turnpike Suite 118\nWest Hunterchester, GA 02857. The credit_card_number is 503870464107.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The Unnamed: 0 is 1139. The guest_email is thompsontimothy@example.com. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 30 Aug 2020. The checkout_date is 17 Aug 2020. The room_rate is 226.63. The billing_address is 05439 Gray Lane Apt. 910\nBerrymouth, NE 52910. The credit_card_number is 3543453944902146.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The Unnamed: 0 is 1957. The guest_email is jonathan70@example.com. The has_rewards is 0. The amenities_fee is 11.87. The checkin_date is 01 Oct 2020. The checkout_date is 27 Sep 2020. The room_rate is 288.25. The billing_address is 3904 Gomez Inlet\nNicholeshire, NE 44948. The credit_card_number is 630416837387.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The Unnamed: 0 is 127. The guest_email is qcook@example.com. The has_rewards is 0. The amenities_fee is 11.59. The checkin_date is 29 Jan 2021. The checkout_date is 26 Dec 2020. The room_rate is 140.13. The billing_address is 73464 Williams Green\nSouth Amber, ME 06845. The credit_card_number is 4879555550576.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The Unnamed: 0 is 1895. The guest_email is davidsonmary@example.com. The has_rewards is 0. The amenities_fee is 26.09. The checkin_date is 02 Jun 2020. The checkout_date is 06 Jun 2020. The room_rate is 84.03. The billing_address is 85886 Rita Radial Apt. 544\nWatsonhaven, FL 74849. The credit_card_number is 4039198658902.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The Unnamed: 0 is 250. The guest_email is robertmills@example.net. The has_rewards is 0. The amenities_fee is 20.14. The checkin_date is 26 Sep 2020. The checkout_date is 24 Sep 2020. The room_rate is 221.81. The billing_address is 2130 Stacy Mountain\nJohntown, DC 84450. The credit_card_number is 341872398754994.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The Unnamed: 0 is 1505. The guest_email is fscott@example.org. The has_rewards is 1. The amenities_fee is 14.21. The checkin_date is 26 Apr 2020. The checkout_date is 22 May 2020. The room_rate is 209.68. The billing_address is 83628 Cook Tunnel\nLake Kendraview, MS 13005. The credit_card_number is 4633821844192.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The Unnamed: 0 is 1403. The guest_email is stevensdon@example.com. The has_rewards is 0. The amenities_fee is 43.47. The checkin_date is 08 Jul 2020. The checkout_date is 22 Jul 2020. The room_rate is 83.8. The billing_address is 78134 Rodgers Cape Apt. 491\nNicholstown, NY 75108. The credit_card_number is 676295653841.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The Unnamed: 0 is 786. The guest_email is marquezcassandra@example.net. The has_rewards is 0. The amenities_fee is 22.73. The checkin_date is 30 Jun 2020. The checkout_date is 02 Aug 2020. The room_rate is 97.18. The billing_address is 9021 Mitchell Forges Suite 288\nNorth Victoriaberg, MS 69177. The credit_card_number is 3510624673624130.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
90
+ {"text": "The Unnamed: 0 is 1044. The guest_email is thompsonjackie@example.org. The has_rewards is 1. The amenities_fee is 13.95. The checkin_date is 22 Apr 2020. The checkout_date is 30 Apr 2020. The room_rate is 228.4. The billing_address is 751 Jacobs Views\nCollinsfurt, VA 08913. The credit_card_number is 4914113706221478.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
91
+ {"text": "The Unnamed: 0 is 1023. The guest_email is carolyn87@example.com. The has_rewards is 0. The amenities_fee is 28.47. The checkin_date is 02 Jan 2021. The checkout_date is 30 Nov 2020. The room_rate is 150.65. The billing_address is USNV Smith\nFPO AA 31308. The credit_card_number is 373855395002112.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
92
+ {"text": "The Unnamed: 0 is 1129. The guest_email is blakemorgan@example.net. The has_rewards is 0. The amenities_fee is 19.81. The checkin_date is 20 Apr 2020. The checkout_date is 19 Jun 2020. The room_rate is 231.12. The billing_address is 04480 Williams Turnpike Suite 320\nSouth Thomas, IL 64980. The credit_card_number is 213191715283172.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
93
+ {"text": "The Unnamed: 0 is 1201. The guest_email is fostersandra@example.com. The has_rewards is 0. The amenities_fee is 2.93. The checkin_date is 11 Jul 2020. The checkout_date is 19 Jul 2020. The room_rate is 183.69. The billing_address is 9119 Schneider Landing\nJordanfurt, LA 52019. The credit_card_number is 502046820499.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
94
+ {"text": "The Unnamed: 0 is 1276. The guest_email is tedwards@example.org. The has_rewards is 0. The amenities_fee is 14.32. The checkin_date is 29 Mar 2020. The checkout_date is 24 Apr 2020. The room_rate is 159.45. The billing_address is 95443 Shaun Pike\nLake Michaelberg, FL 66117. The credit_card_number is 630419233493.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
95
+ {"text": "The Unnamed: 0 is 907. The guest_email is floressheila@example.net. The has_rewards is 0. The amenities_fee is 19.11. The checkin_date is 14 Apr 2020. The checkout_date is 18 Mar 2020. The room_rate is 164.46. The billing_address is 451 King Center\nSouth Brenda, FL 48238. The credit_card_number is 4373367848890749.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
96
+ {"text": "The Unnamed: 0 is 496. The guest_email is tammycarey@example.net. The has_rewards is 0. The amenities_fee is 19.27. The checkin_date is 18 Apr 2020. The checkout_date is 27 May 2020. The room_rate is 204.5. The billing_address is 60371 Ruiz Highway\nSmithberg, DE 13319. The credit_card_number is 4716059563401606.", "label": "SUITE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
97
+ {"text": "The Unnamed: 0 is 262. The guest_email is johnsonbenjamin@example.net. The has_rewards is 0. The amenities_fee is 14.37. The checkin_date is 25 May 2020. The checkout_date is 30 Mar 2020. The room_rate is 151.15. The billing_address is 546 Stephanie Motorway\nWrightton, NH 05306. The credit_card_number is 3527978123171626.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
98
+ {"text": "The Unnamed: 0 is 1464. The guest_email is johnsonalexandria@example.com. The has_rewards is 0. The amenities_fee is 18.0. The checkin_date is 13 May 2020. The checkout_date is 14 May 2020. The room_rate is 151.18. The billing_address is 3683 Ashley Place Apt. 420\nWest Ericland, VA 54016. The credit_card_number is 377231341239677.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
99
+ {"text": "The Unnamed: 0 is 1273. The guest_email is juliecrawford@example.com. The has_rewards is 0. The amenities_fee is 32.09. The checkin_date is 01 Sep 2020. The checkout_date is 14 Aug 2020. The room_rate is 122.93. The billing_address is 9211 Holt Walk Apt. 156\nPort Tonya, ME 59390. The credit_card_number is 30570851040408.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
100
+ {"text": "The Unnamed: 0 is 189. The guest_email is xsmith@example.org. The has_rewards is 1. The amenities_fee is 12.13. The checkin_date is 27 Aug 2020. The checkout_date is 15 Aug 2020. The room_rate is 209.1. The billing_address is 992 Joshua Ford\nNorth Dana, CT 83933. The credit_card_number is 6581546438825693.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
101
+ {"text": "The Unnamed: 0 is 345. The guest_email is dtaylor@example.org. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 07 Jan 2020. The checkout_date is 04 Mar 2020. The room_rate is 119.64. The billing_address is 25706 Cynthia Squares\nSouth Jasonmouth, VA 05111. The credit_card_number is 3556247767667313.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
102
+ {"text": "The Unnamed: 0 is 884. The guest_email is michelle77@example.org. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 04 Jul 2020. The checkout_date is 05 Jul 2020. The room_rate is 163.69. The billing_address is PSC 7714, Box 8160\nAPO AA 86323. The credit_card_number is 3528417447558944.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
103
+ {"text": "The Unnamed: 0 is 687. The guest_email is joshuamcknight@example.com. The has_rewards is 0. The amenities_fee is 24.49. The checkin_date is 11 Apr 2020. The checkout_date is 20 May 2020. The room_rate is 111.86. The billing_address is 1247 Miller Roads Suite 925\nNorth Michaelton, GA 31899. The credit_card_number is 36703391047476.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
104
+ {"text": "The Unnamed: 0 is 91. The guest_email is dmatthews@example.net. The has_rewards is 0. The amenities_fee is 2.74. The checkin_date is 27 Jul 2020. The checkout_date is 11 Aug 2020. The room_rate is 143.4. The billing_address is 436 Ricardo Trail\nDanielchester, OR 26069. The credit_card_number is 676392064587.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
105
+ {"text": "The Unnamed: 0 is 912. The guest_email is pattersonmary@example.net. The has_rewards is 1. The amenities_fee is unknown. The checkin_date is 31 May 2020. The checkout_date is 11 Jun 2020. The room_rate is 111.45. The billing_address is 91709 Elizabeth Crossing Apt. 182\nWest Shannonfurt, NY 53283. The credit_card_number is 3506172544381593.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
106
+ {"text": "The Unnamed: 0 is 143. The guest_email is andrew74@example.net. The has_rewards is 0. The amenities_fee is 4.11. The checkin_date is 26 Jul 2020. The checkout_date is 23 Jul 2020. The room_rate is 139.55. The billing_address is 964 Crawford Vista\nPort Chad, AZ 58132. The credit_card_number is 3592499992775801.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
107
+ {"text": "The Unnamed: 0 is 1417. The guest_email is jacobwright@example.net. The has_rewards is 0. The amenities_fee is 24.46. The checkin_date is 29 Dec 2020. The checkout_date is 11 Jan 2021. The room_rate is 226.47. The billing_address is USNV Stein\nFPO AE 57856. The credit_card_number is 30491238727288.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
108
+ {"text": "The Unnamed: 0 is 1570. The guest_email is dylanreed@example.org. The has_rewards is 0. The amenities_fee is 22.55. The checkin_date is 09 Jan 2020. The checkout_date is 27 Dec 2019. The room_rate is 241.93. The billing_address is 35100 Hicks Stravenue Suite 748\nRonaldborough, NM 46600. The credit_card_number is 3523353148116010.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
109
+ {"text": "The Unnamed: 0 is 1579. The guest_email is michael78@example.net. The has_rewards is 0. The amenities_fee is 31.79. The checkin_date is 20 Sep 2020. The checkout_date is 06 Sep 2020. The room_rate is 151.51. The billing_address is 771 Dana Groves\nKellyview, DE 79963. The credit_card_number is 180020215382995.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
110
+ {"text": "The Unnamed: 0 is 579. The guest_email is williamslori@example.org. The has_rewards is 0. The amenities_fee is 14.35. The checkin_date is 18 Oct 2020. The checkout_date is 30 Aug 2020. The room_rate is 142.78. The billing_address is 65942 Green Throughway Apt. 363\nNicholeland, TN 31704. The credit_card_number is 30528377714526.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
111
+ {"text": "The Unnamed: 0 is 335. The guest_email is lcarey@example.org. The has_rewards is 0. The amenities_fee is 9.05. The checkin_date is 12 Jan 2020. The checkout_date is 25 Jan 2020. The room_rate is 151.36. The billing_address is 2638 Blackburn Neck\nButlerstad, IL 07508. The credit_card_number is 5140426941254853.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
112
+ {"text": "The Unnamed: 0 is 1938. The guest_email is morrowmary@example.com. The has_rewards is 0. The amenities_fee is 30.88. The checkin_date is 03 Aug 2020. The checkout_date is 25 Aug 2020. The room_rate is 168.7. The billing_address is 954 Miles Walk Suite 762\nOmarbury, FL 38820. The credit_card_number is 340192059429617.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
113
+ {"text": "The Unnamed: 0 is 1530. The guest_email is john67@example.com. The has_rewards is 0. The amenities_fee is 34.46. The checkin_date is 28 Oct 2020. The checkout_date is 14 Oct 2020. The room_rate is 228.86. The billing_address is 77119 Edward Plaza\nEast Philip, PA 01036. The credit_card_number is 3516126252608058.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
114
+ {"text": "The Unnamed: 0 is 1675. The guest_email is christinafreeman@example.org. The has_rewards is 0. The amenities_fee is 12.18. The checkin_date is 26 Apr 2020. The checkout_date is 15 Apr 2020. The room_rate is 145.27. The billing_address is 9388 Yoder Fork Apt. 261\nStephensbury, NV 97609. The credit_card_number is 2230638663560139.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
115
+ {"text": "The Unnamed: 0 is 523. The guest_email is colebrent@example.net. The has_rewards is 1. The amenities_fee is 8.6. The checkin_date is 28 Aug 2020. The checkout_date is 11 Aug 2020. The room_rate is 256.78. The billing_address is 22996 Angela Crescent\nColemanview, IN 36534. The credit_card_number is 4888402052956999.", "label": "SUITE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
116
+ {"text": "The Unnamed: 0 is 472. The guest_email is robinsonvictoria@example.net. The has_rewards is 1. The amenities_fee is 9.98. The checkin_date is 17 Sep 2020. The checkout_date is 08 Sep 2020. The room_rate is 126.35. The billing_address is 786 Evan Forges Suite 792\nWest Lisa, WA 48988. The credit_card_number is 4856307889619.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
117
+ {"text": "The Unnamed: 0 is 1364. The guest_email is hallkevin@example.com. The has_rewards is 0. The amenities_fee is 20.29. The checkin_date is 08 Feb 2020. The checkout_date is 12 Feb 2020. The room_rate is 124.84. The billing_address is 0549 Rebecca Glen Suite 573\nNorth Matthew, IN 73252. The credit_card_number is 213106630040978.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
118
+ {"text": "The Unnamed: 0 is 829. The guest_email is sally57@example.com. The has_rewards is 1. The amenities_fee is 2.8. The checkin_date is 26 Aug 2020. The checkout_date is 19 Aug 2020. The room_rate is 202.68. The billing_address is 7405 Davis Greens Suite 142\nLake Franklinstad, CT 56264. The credit_card_number is 3563763044323489.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
119
+ {"text": "The Unnamed: 0 is 1608. The guest_email is bcochran@example.com. The has_rewards is 0. The amenities_fee is 16.87. The checkin_date is 05 Jun 2020. The checkout_date is 11 Jul 2020. The room_rate is 183.67. The billing_address is 3191 Roy Springs Apt. 076\nPort Josephhaven, LA 48277. The credit_card_number is 3528075858211286.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
120
+ {"text": "The Unnamed: 0 is 1411. The guest_email is diazapril@example.net. The has_rewards is 0. The amenities_fee is 26.39. The checkin_date is 06 Jun 2020. The checkout_date is 14 Jun 2020. The room_rate is 127.63. The billing_address is 42847 Chapman Road Suite 214\nNorth David, NC 92908. The credit_card_number is 4442219209190861.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
121
+ {"text": "The Unnamed: 0 is 298. The guest_email is julia69@example.net. The has_rewards is 0. The amenities_fee is 21.28. The checkin_date is 07 Aug 2020. The checkout_date is 14 Jul 2020. The room_rate is 145.24. The billing_address is 27730 Carlos Mission\nEast David, DC 57012. The credit_card_number is 4252848940485.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
122
+ {"text": "The Unnamed: 0 is 581. The guest_email is johnsonkristina@example.org. The has_rewards is 0. The amenities_fee is 26.91. The checkin_date is 26 Apr 2020. The checkout_date is 29 Apr 2020. The room_rate is 163.21. The billing_address is 85898 Bill Corners Apt. 420\nWest Jeffreychester, ID 08930. The credit_card_number is 6011394966394851.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
123
+ {"text": "The Unnamed: 0 is 1395. The guest_email is vsuarez@example.org. The has_rewards is 1. The amenities_fee is 20.14. The checkin_date is 27 Sep 2020. The checkout_date is 02 Oct 2020. The room_rate is 281.96. The billing_address is 426 Beck Valleys Suite 712\nPort Veronica, DC 70276. The credit_card_number is 2239703000930741.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
124
+ {"text": "The Unnamed: 0 is 1265. The guest_email is charlesbarnes@example.net. The has_rewards is 0. The amenities_fee is 26.68. The checkin_date is 05 Aug 2020. The checkout_date is 07 Aug 2020. The room_rate is 135.06. The billing_address is 727 Christopher Stream Suite 644\nBairdmouth, AR 16127. The credit_card_number is 4725626495020.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
125
+ {"text": "The Unnamed: 0 is 358. The guest_email is murrayjavier@example.org. The has_rewards is 0. The amenities_fee is 11.6. The checkin_date is 26 Mar 2020. The checkout_date is 17 Mar 2020. The room_rate is 93.39. The billing_address is 154 Linda Brooks\nSouth Paul, MD 72616. The credit_card_number is 4788907100142841483.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
126
+ {"text": "The Unnamed: 0 is 525. The guest_email is garybeck@example.org. The has_rewards is 0. The amenities_fee is 0.0. The checkin_date is 24 Jan 2020. The checkout_date is 12 Mar 2020. The room_rate is 91.45. The billing_address is 727 Bates Lane Suite 718\nNorth Kayla, HI 16185. The credit_card_number is 4399201237418459.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
127
+ {"text": "The Unnamed: 0 is 1224. The guest_email is acruz@example.com. The has_rewards is 0. The amenities_fee is 29.56. The checkin_date is 08 Sep 2020. The checkout_date is 10 Sep 2020. The room_rate is 167.08. The billing_address is 75823 Smith Inlet Apt. 302\nSalinasborough, NM 17874. The credit_card_number is 213183472743878.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
128
+ {"text": "The Unnamed: 0 is 463. The guest_email is dennismorse@example.org. The has_rewards is 0. The amenities_fee is 6.22. The checkin_date is 19 Jul 2020. The checkout_date is 10 Jul 2020. The room_rate is 233.86. The billing_address is 029 Anderson Mall\nNorth Samuel, IL 48358. The credit_card_number is 561164931355.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
129
+ {"text": "The Unnamed: 0 is 1272. The guest_email is dcunningham@example.org. The has_rewards is 0. The amenities_fee is 3.65. The checkin_date is 05 Apr 2020. The checkout_date is 02 Mar 2020. The room_rate is 183.9. The billing_address is 547 Kimberly Rest\nDeleonburgh, OK 82676. The credit_card_number is 4512004801052049.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
130
+ {"text": "The Unnamed: 0 is 47. The guest_email is lydiabenjamin@example.net. The has_rewards is 1. The amenities_fee is 11.76. The checkin_date is 26 Jul 2020. The checkout_date is 28 Jun 2020. The room_rate is 187.75. The billing_address is 44714 Rice Meadows\nNorth Valerieshire, WA 22276. The credit_card_number is 501891404730.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
131
+ {"text": "The Unnamed: 0 is 697. The guest_email is kstevenson@example.com. The has_rewards is 0. The amenities_fee is 24.49. The checkin_date is 11 Apr 2020. The checkout_date is 10 May 2020. The room_rate is 108.04. The billing_address is 27738 Garcia Motorway\nJohnsonfort, WA 86175. The credit_card_number is 4909613909106589.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
132
+ {"text": "The Unnamed: 0 is 1926. The guest_email is huntthomas@example.com. The has_rewards is 0. The amenities_fee is 13.58. The checkin_date is 24 Jan 2021. The checkout_date is 31 Dec 2020. The room_rate is 188.43. The billing_address is 9978 Howard Pass Apt. 160\nSouth Bobby, DE 25788. The credit_card_number is 3571533230068580.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
133
+ {"text": "The Unnamed: 0 is 541. The guest_email is elizabeth48@example.org. The has_rewards is 0. The amenities_fee is 13.68. The checkin_date is 27 Feb 2021. The checkout_date is 02 Feb 2021. The room_rate is 285.9. The billing_address is 0080 Palmer Lights\nHaleland, MN 47262. The credit_card_number is 4288175115252541.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
134
+ {"text": "The Unnamed: 0 is 1283. The guest_email is castillorobert@example.net. The has_rewards is 0. The amenities_fee is 22.33. The checkin_date is 18 Apr 2020. The checkout_date is unknown. The room_rate is 163.09. The billing_address is 23060 Smith Port Suite 368\nNew Craig, FL 04926. The credit_card_number is 4920875405253489.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
135
+ {"text": "The Unnamed: 0 is 1786. The guest_email is alexis17@example.org. The has_rewards is 1. The amenities_fee is 9.21. The checkin_date is 02 Apr 2020. The checkout_date is 16 Apr 2020. The room_rate is 126.71. The billing_address is 98470 Hanson Crescent\nFrytown, WV 67965. The credit_card_number is 4571123086288.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
136
+ {"text": "The Unnamed: 0 is 1157. The guest_email is vanessabrooks@example.net. The has_rewards is 0. The amenities_fee is 15.23. The checkin_date is 07 Apr 2020. The checkout_date is 17 May 2020. The room_rate is 180.39. The billing_address is 59708 Cody River Apt. 940\nBryanberg, NE 77541. The credit_card_number is 36271595213088.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
137
+ {"text": "The Unnamed: 0 is 1266. The guest_email is amy06@example.com. The has_rewards is 0. The amenities_fee is 15.35. The checkin_date is 12 May 2020. The checkout_date is 07 May 2020. The room_rate is 100.12. The billing_address is 402 Krystal Motorway\nHillland, ID 50295. The credit_card_number is 6598542725109678.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
138
+ {"text": "The Unnamed: 0 is 1759. The guest_email is solomonsamantha@example.org. The has_rewards is 0. The amenities_fee is 15.97. The checkin_date is 03 Aug 2020. The checkout_date is 09 Jul 2020. The room_rate is 196.14. The billing_address is 17635 Tina Brook Apt. 301\nJuanfort, AK 75288. The credit_card_number is 676258106605.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
139
+ {"text": "The Unnamed: 0 is 1619. The guest_email is whitedeanna@example.net. The has_rewards is 0. The amenities_fee is 27.22. The checkin_date is 26 Aug 2020. The checkout_date is 04 Aug 2020. The room_rate is 217.35. The billing_address is PSC 8510, Box 4470\nAPO AE 94564. The credit_card_number is 3565689756397585.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
140
+ {"text": "The Unnamed: 0 is 662. The guest_email is jenniferthomas@example.net. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 23 Aug 2020. The checkout_date is 01 Aug 2020. The room_rate is 85.26. The billing_address is USCGC Blanchard\nFPO AA 26095. The credit_card_number is 3515432170279142.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
141
+ {"text": "The Unnamed: 0 is 1058. The guest_email is wwhite@example.net. The has_rewards is 0. The amenities_fee is 14.91. The checkin_date is 30 Jul 2020. The checkout_date is 13 Aug 2020. The room_rate is 83.8. The billing_address is 559 Kathryn Junction Suite 062\nWest Johnstad, DC 77112. The credit_card_number is 4589926723253.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
142
+ {"text": "The Unnamed: 0 is 1327. The guest_email is deleonvictor@example.com. The has_rewards is 0. The amenities_fee is 9.07. The checkin_date is 29 May 2020. The checkout_date is 01 Jun 2020. The room_rate is 113.34. The billing_address is 39242 Thomas Plaza\nDavismouth, ME 63598. The credit_card_number is 4718688139907593717.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
143
+ {"text": "The Unnamed: 0 is 1614. The guest_email is chadlee@example.com. The has_rewards is 0. The amenities_fee is 34.75. The checkin_date is 05 Sep 2020. The checkout_date is unknown. The room_rate is 225.67. The billing_address is 32643 Johnson Mall Apt. 883\nEdwardshire, WV 30192. The credit_card_number is 376213994059884.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
144
+ {"text": "The Unnamed: 0 is 1190. The guest_email is ryanduarte@example.com. The has_rewards is 0. The amenities_fee is 33.69. The checkin_date is 13 Feb 2021. The checkout_date is 01 Jan 2021. The room_rate is 210.18. The billing_address is 942 Patrick Island\nWest Dominic, MT 60379. The credit_card_number is 4078720513894933.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
145
+ {"text": "The Unnamed: 0 is 632. The guest_email is michaelbaker@example.com. The has_rewards is 0. The amenities_fee is 12.33. The checkin_date is 14 Mar 2021. The checkout_date is 29 Jan 2021. The room_rate is 92.06. The billing_address is 457 Glen Terrace Suite 393\nNorth Robertmouth, OR 39514. The credit_card_number is 3578908942320565.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
146
+ {"text": "The Unnamed: 0 is 471. The guest_email is kelly08@example.com. The has_rewards is 0. The amenities_fee is 28.09. The checkin_date is 13 May 2020. The checkout_date is 12 Apr 2020. The room_rate is 148.23. The billing_address is 8788 Erin Orchard Apt. 839\nSouth Stephanie, OH 15547. The credit_card_number is 676335420813.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
147
+ {"text": "The Unnamed: 0 is 1867. The guest_email is emayer@example.com. The has_rewards is 0. The amenities_fee is 23.9. The checkin_date is 02 Jul 2020. The checkout_date is 25 Jul 2020. The room_rate is 199.2. The billing_address is 66113 Gina Spurs Apt. 254\nSouth Josephfurt, MS 58137. The credit_card_number is 4187960210358588.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
148
+ {"text": "The Unnamed: 0 is 1888. The guest_email is dale78@example.com. The has_rewards is 0. The amenities_fee is 10.35. The checkin_date is 05 Jul 2020. The checkout_date is 31 Jul 2020. The room_rate is 105.07. The billing_address is 58862 Matthew Estates\nLake Lisahaven, SD 46959. The credit_card_number is 6011867388788180.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
149
+ {"text": "The Unnamed: 0 is 760. The guest_email is hallrichard@example.com. The has_rewards is 0. The amenities_fee is 34.48. The checkin_date is 04 Oct 2020. The checkout_date is 28 Oct 2020. The room_rate is 137.13. The billing_address is 5299 Kelley Squares Suite 174\nMarcusview, MS 70575. The credit_card_number is 213172705847572.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
150
+ {"text": "The Unnamed: 0 is 412. The guest_email is olivia80@example.org. The has_rewards is 0. The amenities_fee is 15.99. The checkin_date is 06 May 2020. The checkout_date is 24 May 2020. The room_rate is 193.93. The billing_address is 1391 Kyle Spring Suite 670\nEast Amanda, NC 79116. The credit_card_number is 180021447441948.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
151
+ {"text": "The Unnamed: 0 is 1917. The guest_email is millerrobert@example.com. The has_rewards is 0. The amenities_fee is 13.56. The checkin_date is 05 May 2020. The checkout_date is 21 Apr 2020. The room_rate is 110.48. The billing_address is 2615 Isaac Isle\nBrittanystad, VA 89984. The credit_card_number is 4061317017915600.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
152
+ {"text": "The Unnamed: 0 is 1796. The guest_email is brianvazquez@example.net. The has_rewards is 0. The amenities_fee is 38.43. The checkin_date is 31 Aug 2020. The checkout_date is 23 Jul 2020. The room_rate is 83.8. The billing_address is 9509 Adam Prairie\nLake Katherine, PA 70083. The credit_card_number is 38643046606326.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
153
+ {"text": "The Unnamed: 0 is 757. The guest_email is katie70@example.net. The has_rewards is 0. The amenities_fee is 28.37. The checkin_date is 11 Jun 2020. The checkout_date is 10 Jul 2020. The room_rate is 229.57. The billing_address is 9095 Harrington Vista\nGloverport, RI 97890. The credit_card_number is 4396914341090955.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
154
+ {"text": "The Unnamed: 0 is 1885. The guest_email is valerie47@example.org. The has_rewards is 0. The amenities_fee is 18.32. The checkin_date is 24 Jun 2020. The checkout_date is 24 Jul 2020. The room_rate is 201.04. The billing_address is 3185 Davis Corner\nEast Danashire, AK 85891. The credit_card_number is 3501763394149612.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
155
+ {"text": "The Unnamed: 0 is 198. The guest_email is lauren41@example.com. The has_rewards is 1. The amenities_fee is 22.29. The checkin_date is 10 Jul 2020. The checkout_date is 05 Jul 2020. The room_rate is 101.07. The billing_address is 619 Oconnor Island Apt. 615\nWest Shelia, DC 03590. The credit_card_number is 4025890387301945.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
156
+ {"text": "The Unnamed: 0 is 1733. The guest_email is lgutierrez@example.net. The has_rewards is 0. The amenities_fee is 13.44. The checkin_date is 18 Apr 2020. The checkout_date is 19 Mar 2020. The room_rate is 179.93. The billing_address is 683 Marissa Island Suite 963\nJessicamouth, VA 94263. The credit_card_number is 4983641951275316.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
157
+ {"text": "The Unnamed: 0 is 1333. The guest_email is julie06@example.org. The has_rewards is 0. The amenities_fee is 43.71. The checkin_date is 02 Aug 2020. The checkout_date is 11 Sep 2020. The room_rate is 212.36. The billing_address is 64624 Catherine Forest Apt. 063\nNorth Phillip, NV 53460. The credit_card_number is 36883428399379.", "label": "SUITE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
158
+ {"text": "The Unnamed: 0 is 43. The guest_email is latoya51@example.org. The has_rewards is 1. The amenities_fee is 14.7. The checkin_date is 30 May 2020. The checkout_date is 21 Jun 2020. The room_rate is 199.79. The billing_address is 722 Kristine Dam Apt. 241\nEast Josephport, IN 63844. The credit_card_number is 340691490658064.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
159
+ {"text": "The Unnamed: 0 is 98. The guest_email is garydavid@example.net. The has_rewards is 0. The amenities_fee is 29.1. The checkin_date is 08 Dec 2020. The checkout_date is 26 Dec 2020. The room_rate is 154.08. The billing_address is 481 Daniel Coves\nEast Ambershire, NV 38036. The credit_card_number is 566554083360.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
160
+ {"text": "The Unnamed: 0 is 540. The guest_email is pgordon@example.org. The has_rewards is 0. The amenities_fee is unknown. The checkin_date is 09 Jun 2020. The checkout_date is 07 Jul 2020. The room_rate is 110.47. The billing_address is Unit 5538 Box 2029\nDPO AE 29443. The credit_card_number is 213139485061302.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
161
+ {"text": "The Unnamed: 0 is 448. The guest_email is morganmegan@example.org. The has_rewards is 0. The amenities_fee is 33.81. The checkin_date is 16 Jul 2020. The checkout_date is 31 Jul 2020. The room_rate is 162.14. The billing_address is 302 Alexandra Causeway\nDelacruzborough, RI 29900. The credit_card_number is 180088115620251.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
162
+ {"text": "The Unnamed: 0 is 1404. The guest_email is michaelhowell@example.com. The has_rewards is 0. The amenities_fee is 0.0. The checkin_date is 28 Dec 2019. The checkout_date is 05 Dec 2019. The room_rate is 184.42. The billing_address is 45276 Perez Mountains\nPort Markborough, KS 57162. The credit_card_number is 30002350505756.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
163
+ {"text": "The Unnamed: 0 is 1780. The guest_email is dianabond@example.org. The has_rewards is 0. The amenities_fee is 26.75. The checkin_date is 24 Apr 2020. The checkout_date is 01 Jul 2020. The room_rate is 104.75. The billing_address is PSC 2408, Box 1639\nAPO AA 78178. The credit_card_number is 213177943151968.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
164
+ {"text": "The Unnamed: 0 is 132. The guest_email is nwolf@example.com. The has_rewards is 0. The amenities_fee is 24.14. The checkin_date is 15 Apr 2020. The checkout_date is 27 Mar 2020. The room_rate is 150.8. The billing_address is 879 Fitzpatrick Ridges Suite 622\nMariaberg, MO 42659. The credit_card_number is 372363482955103.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
165
+ {"text": "The Unnamed: 0 is 252. The guest_email is spencejohn@example.org. The has_rewards is 0. The amenities_fee is 18.32. The checkin_date is 08 Nov 2020. The checkout_date is 19 Oct 2020. The room_rate is 112.93. The billing_address is 277 Edwards Plain\nWilsonstad, WA 15900. The credit_card_number is 2279333050133656.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
166
+ {"text": "The Unnamed: 0 is 1802. The guest_email is chasemendez@example.org. The has_rewards is 0. The amenities_fee is 29.46. The checkin_date is 28 May 2020. The checkout_date is 31 May 2020. The room_rate is 87.81. The billing_address is 9119 Kevin Glens Suite 772\nPort Thomaston, KY 46129. The credit_card_number is 4598542200036187516.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
167
+ {"text": "The Unnamed: 0 is 131. The guest_email is coloncatherine@example.net. The has_rewards is 1. The amenities_fee is 10.75. The checkin_date is 20 Dec 2020. The checkout_date is 15 Dec 2020. The room_rate is 247.92. The billing_address is 847 Howard Spur Apt. 501\nJacobburgh, MO 40365. The credit_card_number is 4122875311580468.", "label": "SUITE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
168
+ {"text": "The Unnamed: 0 is 706. The guest_email is daniellecline@example.org. The has_rewards is 0. The amenities_fee is 18.16. The checkin_date is 30 Sep 2020. The checkout_date is 01 Sep 2020. The room_rate is 120.04. The billing_address is 152 Jacob Square Suite 824\nLake Kirsten, GA 88769. The credit_card_number is 60426371187.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
169
+ {"text": "The Unnamed: 0 is 1756. The guest_email is daniel24@example.org. The has_rewards is 0. The amenities_fee is 23.25. The checkin_date is 15 Aug 2020. The checkout_date is 09 Aug 2020. The room_rate is 230.39. The billing_address is PSC 8055, Box 4095\nAPO AP 02448. The credit_card_number is 503859086327.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
170
+ {"text": "The Unnamed: 0 is 507. The guest_email is harold60@example.org. The has_rewards is 1. The amenities_fee is unknown. The checkin_date is 09 Aug 2020. The checkout_date is 22 Aug 2020. The room_rate is 185.89. The billing_address is 9142 Collin Manor\nStevenside, NV 70806. The credit_card_number is 3598598963519926.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
171
+ {"text": "The Unnamed: 0 is 1835. The guest_email is harriscraig@example.com. The has_rewards is 0. The amenities_fee is 9.52. The checkin_date is 14 Jun 2020. The checkout_date is 30 Jul 2020. The room_rate is 128.36. The billing_address is PSC 9960, Box 4207\nAPO AA 37963. The credit_card_number is 372338804922643.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
172
+ {"text": "The Unnamed: 0 is 1873. The guest_email is jamesmoon@example.net. The has_rewards is 0. The amenities_fee is 13.43. The checkin_date is 05 Feb 2020. The checkout_date is 28 Mar 2020. The room_rate is 129.77. The billing_address is 22004 Wood Mews\nDanielchester, NJ 97916. The credit_card_number is 36671265155016.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
173
+ {"text": "The Unnamed: 0 is 1910. The guest_email is brandon04@example.net. The has_rewards is 0. The amenities_fee is 0.0. The checkin_date is 06 Nov 2020. The checkout_date is 05 Oct 2020. The room_rate is 125.47. The billing_address is 397 Barnett Flats\nNicholsside, FL 94722. The credit_card_number is 4284881972662193.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
174
+ {"text": "The Unnamed: 0 is 736. The guest_email is ytaylor@example.com. The has_rewards is 0. The amenities_fee is 19.08. The checkin_date is 14 Sep 2020. The checkout_date is unknown. The room_rate is 149.22. The billing_address is 965 Hernandez Ramp Suite 244\nGrossside, GA 83751. The credit_card_number is 30292514212593.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
175
+ {"text": "The Unnamed: 0 is 1901. The guest_email is fwalker@example.org. The has_rewards is 0. The amenities_fee is 20.94. The checkin_date is 18 Apr 2020. The checkout_date is 07 Apr 2020. The room_rate is 137.07. The billing_address is 61534 Anthony Stravenue\nPort Autumnshire, OR 75966. The credit_card_number is 4890609852499899.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
176
+ {"text": "The Unnamed: 0 is 910. The guest_email is guerrajonathan@example.net. The has_rewards is 0. The amenities_fee is 15.79. The checkin_date is 09 Apr 2020. The checkout_date is 14 Apr 2020. The room_rate is 179.47. The billing_address is Unit 5053 Box 7019\nDPO AP 60012. The credit_card_number is 3509408597755573.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
177
+ {"text": "The Unnamed: 0 is 1892. The guest_email is ohenderson@example.org. The has_rewards is 0. The amenities_fee is 14.36. The checkin_date is 06 Aug 2020. The checkout_date is 16 Jul 2020. The room_rate is 149.71. The billing_address is 57368 Anna Cliffs\nAngelafort, WA 44671. The credit_card_number is 6569565619463708.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
178
+ {"text": "The Unnamed: 0 is 1429. The guest_email is tatemitchell@example.net. The has_rewards is 0. The amenities_fee is 17.87. The checkin_date is 25 Aug 2020. The checkout_date is 19 Aug 2020. The room_rate is 83.8. The billing_address is 814 Olivia Bypass\nSouth Donnaland, GA 04973. The credit_card_number is 4378760447231.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
179
+ {"text": "The Unnamed: 0 is 519. The guest_email is megan20@example.com. The has_rewards is 0. The amenities_fee is 27.34. The checkin_date is 08 Nov 2020. The checkout_date is 03 Nov 2020. The room_rate is 127.51. The billing_address is 579 Bianca Circle\nAnthonybury, TX 54528. The credit_card_number is 213157883032055.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
180
+ {"text": "The Unnamed: 0 is 590. The guest_email is margarethorton@example.org. The has_rewards is 0. The amenities_fee is 15.4. The checkin_date is 26 Jun 2020. The checkout_date is 10 Jun 2020. The room_rate is 97.79. The billing_address is 6338 Kevin Bypass Suite 759\nWalkerborough, SD 17289. The credit_card_number is 2233272174616367.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
181
+ {"text": "The Unnamed: 0 is 151. The guest_email is matthewsdavid@example.net. The has_rewards is 0. The amenities_fee is 14.56. The checkin_date is 09 Aug 2020. The checkout_date is 03 Sep 2020. The room_rate is 179.31. The billing_address is 9526 Melinda Branch Suite 583\nSkinnerborough, CA 20709. The credit_card_number is 2261110966057157.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
182
+ {"text": "The Unnamed: 0 is 1041. The guest_email is ksanders@example.net. The has_rewards is 0. The amenities_fee is 12.13. The checkin_date is 18 Jul 2020. The checkout_date is 08 Aug 2020. The room_rate is 242.39. The billing_address is 85666 Lynn Mountain Suite 625\nWest Marcus, CO 55735. The credit_card_number is 2558031247053892.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
183
+ {"text": "The Unnamed: 0 is 214. The guest_email is zjames@example.org. The has_rewards is 0. The amenities_fee is 14.67. The checkin_date is 19 Apr 2020. The checkout_date is unknown. The room_rate is 103.54. The billing_address is 00180 Day Shore Apt. 114\nEast Calebchester, PA 35718. The credit_card_number is 4864900572946448.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
184
+ {"text": "The Unnamed: 0 is 533. The guest_email is erin57@example.org. The has_rewards is 1. The amenities_fee is 4.46. The checkin_date is 27 Mar 2020. The checkout_date is 14 Mar 2020. The room_rate is 155.23. The billing_address is 80986 Robert Islands\nLake Jamie, MA 04277. The credit_card_number is 6564460378291604.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
185
+ {"text": "The Unnamed: 0 is 846. The guest_email is thomaswilliams@example.org. The has_rewards is 0. The amenities_fee is 10.48. The checkin_date is 30 Mar 2020. The checkout_date is 04 Apr 2020. The room_rate is 133.62. The billing_address is 1658 Williams Mountain Suite 115\nToddchester, NV 83167. The credit_card_number is 343812302380799.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
186
+ {"text": "The Unnamed: 0 is 592. The guest_email is jeffrey93@example.com. The has_rewards is 0. The amenities_fee is 7.0. The checkin_date is 09 Jun 2020. The checkout_date is unknown. The room_rate is 228.46. The billing_address is 6888 Gibson Streets\nWest Christopher, FL 45776. The credit_card_number is 4104785155005450.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
187
+ {"text": "The Unnamed: 0 is 1337. The guest_email is frankbarnes@example.com. The has_rewards is 0. The amenities_fee is 21.21. The checkin_date is 09 Dec 2020. The checkout_date is 15 Jan 2021. The room_rate is 106.69. The billing_address is 33192 Cox Hill\nJeffreybury, VA 71162. The credit_card_number is 6592303526210884.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
188
+ {"text": "The Unnamed: 0 is 1440. The guest_email is ojohnson@example.net. The has_rewards is 0. The amenities_fee is 41.08. The checkin_date is 07 Mar 2020. The checkout_date is 02 Feb 2020. The room_rate is 170.84. The billing_address is 25427 Mahoney Stream\nNew Frankfort, MA 38127. The credit_card_number is 4317808270275486.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
189
+ {"text": "The Unnamed: 0 is 1075. The guest_email is stonerobert@example.com. The has_rewards is 0. The amenities_fee is 14.73. The checkin_date is 01 Dec 2020. The checkout_date is 19 Dec 2020. The room_rate is 245.02. The billing_address is 650 Cox Street Suite 886\nEast Danielleberg, TX 14382. The credit_card_number is 3543084467427532.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
190
+ {"text": "The Unnamed: 0 is 1390. The guest_email is ycampbell@example.org. The has_rewards is 0. The amenities_fee is 0.0. The checkin_date is 31 Jan 2020. The checkout_date is 01 Feb 2020. The room_rate is 125.92. The billing_address is 30341 Mario Grove\nTravischester, SC 88709. The credit_card_number is 4780116122070637141.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
191
+ {"text": "The Unnamed: 0 is 1396. The guest_email is nallen@example.net. The has_rewards is 0. The amenities_fee is 18.32. The checkin_date is 20 May 2020. The checkout_date is 04 Jun 2020. The room_rate is 205.19. The billing_address is USNS Sweeney\nFPO AE 36215. The credit_card_number is 5282130052603688.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
192
+ {"text": "The Unnamed: 0 is 900. The guest_email is williamsoneric@example.org. The has_rewards is 1. The amenities_fee is unknown. The checkin_date is 16 Aug 2020. The checkout_date is 17 Sep 2020. The room_rate is 225.38. The billing_address is 78333 Roth Path\nJonathanborough, LA 44524. The credit_card_number is 6011808736346909.", "label": "DELUXE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
193
+ {"text": "The Unnamed: 0 is 270. The guest_email is bryanwong@example.com. The has_rewards is 0. The amenities_fee is 29.21. The checkin_date is 12 Jun 2020. The checkout_date is 22 Jun 2020. The room_rate is 209.31. The billing_address is 7079 Ann Squares\nSmithstad, MI 06452. The credit_card_number is 4809017074808.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
194
+ {"text": "The Unnamed: 0 is 92. The guest_email is michelewalters@example.org. The has_rewards is 0. The amenities_fee is 5.09. The checkin_date is 25 Jul 2020. The checkout_date is 19 Jul 2020. The room_rate is 153.0. The billing_address is 06729 James Neck\nFloreshaven, ID 78934. The credit_card_number is 4477082823226.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
195
+ {"text": "The Unnamed: 0 is 570. The guest_email is hortontiffany@example.net. The has_rewards is 0. The amenities_fee is 11.28. The checkin_date is 05 Mar 2021. The checkout_date is 01 Feb 2021. The room_rate is 105.73. The billing_address is 86268 Macias Walk\nEast Amanda, SD 79810. The credit_card_number is 3537708749002246.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
196
+ {"text": "The Unnamed: 0 is 1048. The guest_email is jasminekane@example.net. The has_rewards is 1. The amenities_fee is 5.41. The checkin_date is 21 Apr 2020. The checkout_date is 20 Feb 2020. The room_rate is 202.08. The billing_address is 561 Holmes Pine Suite 978\nTaylormouth, IN 42983. The credit_card_number is 4605306175140401.", "label": "SUITE", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
197
+ {"text": "The Unnamed: 0 is 416. The guest_email is xturner@example.net. The has_rewards is 0. The amenities_fee is 21.55. The checkin_date is 17 Jul 2020. The checkout_date is 11 Jul 2020. The room_rate is 83.8. The billing_address is 294 Richard Tunnel\nNew Michelle, WI 85205. The credit_card_number is 4099787936480215.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
198
+ {"text": "The Unnamed: 0 is 1223. The guest_email is navarrolinda@example.org. The has_rewards is 0. The amenities_fee is 0.0. The checkin_date is 02 Jun 2020. The checkout_date is 25 May 2020. The room_rate is 181.38. The billing_address is 60213 Reed Dale Apt. 030\nEast Kevinborough, ID 43443. The credit_card_number is 6011927423272887.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
199
+ {"text": "The Unnamed: 0 is 1181. The guest_email is dprince@example.org. The has_rewards is 0. The amenities_fee is 25.63. The checkin_date is 21 Dec 2020. The checkout_date is 24 Dec 2020. The room_rate is 166.44. The billing_address is 853 Christian Spurs Apt. 645\nNorth Carolinehaven, OK 85989. The credit_card_number is 180003276387327.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
200
+ {"text": "The Unnamed: 0 is 839. The guest_email is jensenzachary@example.org. The has_rewards is 0. The amenities_fee is 0.0. The checkin_date is 29 Apr 2020. The checkout_date is 13 May 2020. The room_rate is 197.29. The billing_address is 50127 Walker Mountains\nEdwardchester, ND 81402. The credit_card_number is 3518212385629811.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
201
+ {"text": "The Unnamed: 0 is 1706. The guest_email is younglinda@example.org. The has_rewards is 0. The amenities_fee is 13.96. The checkin_date is 01 May 2020. The checkout_date is 10 May 2020. The room_rate is 99.43. The billing_address is PSC 0103, Box 5166\nAPO AA 64202. The credit_card_number is 4707498526948389.", "label": "BASIC", "dataset": "bhavkaur-hotel-guests-dataset", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/bhavkaur-hotel-guests-dataset/train.csv ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/bhavkaur-hotel-guests-dataset/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/bhavkaur-simplified-titanic-dataset/metadata.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "bhavkaur-simplified-titanic-dataset",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "survived",
8
+ "label_values": [
9
+ "True",
10
+ "False"
11
+ ],
12
+ "num_labels": 2,
13
+ "train_samples": 2015,
14
+ "test_samples": 225,
15
+ "train_label_distribution": {
16
+ "False": 1495,
17
+ "True": 520
18
+ },
19
+ "test_label_distribution": {
20
+ "False": 167,
21
+ "True": 58
22
+ }
23
+ }
classification/unipredict/bhavkaur-simplified-titanic-dataset/test.csv ADDED
@@ -0,0 +1,226 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ age_grp,department,embarked,survived
2
+ 10-19,3rd Class,Southampton,False
3
+ 20-29,3rd Class,Queenstown,False
4
+ 20-29,Engine,Belfast,False
5
+ 20-29,3rd Class,Southampton,False
6
+ 20-29,Engine,Southampton,False
7
+ 20-29,3rd Class,Queenstown,True
8
+ 20-29,Engine,Belfast,False
9
+ 20-29,3rd Class,Southampton,False
10
+ 30-39,Engine,Southampton,True
11
+ 40-49,1st Class,Southampton,True
12
+ 40-49,1st Class,Cherbourg,True
13
+ 20-29,2nd Class,Southampton,False
14
+ 30-39,Engine,Southampton,False
15
+ 10-19,A la Carte,Southampton,False
16
+ 30-39,3rd Class,Southampton,True
17
+ 20-29,2nd Class,Cherbourg,False
18
+ 40-49,Victualling,Southampton,False
19
+ 40-49,1st Class,Southampton,True
20
+ 30-39,Victualling,Southampton,False
21
+ 20-29,3rd Class,Queenstown,True
22
+ 20-29,Deck,Southampton,True
23
+ 30-39,3rd Class,Southampton,False
24
+ 30-39,3rd Class,Queenstown,False
25
+ 30-39,1st Class,Southampton,True
26
+ 40-49,Deck,Southampton,True
27
+ 30-39,1st Class,,True
28
+ 30-39,Victualling,Southampton,False
29
+ 30-39,Engine,Southampton,False
30
+ ,1st Class,Southampton,False
31
+ 10-19,3rd Class,Southampton,False
32
+ 40-49,3rd Class,Southampton,False
33
+ 20-29,3rd Class,Southampton,True
34
+ 0-9,3rd Class,Southampton,False
35
+ 30-39,Victualling,Belfast,False
36
+ 20-29,3rd Class,Cherbourg,False
37
+ 20-29,3rd Class,Queenstown,False
38
+ 10-19,3rd Class,Southampton,False
39
+ 40-49,Engine,Southampton,False
40
+ 10-19,3rd Class,Cherbourg,False
41
+ ,2nd Class,Southampton,False
42
+ 30-39,Engine,Southampton,False
43
+ 30-39,2nd Class,Queenstown,True
44
+ 40-49,Engine,Belfast,False
45
+ 20-29,3rd Class,Cherbourg,True
46
+ 30-39,1st Class,Cherbourg,False
47
+ 10-19,3rd Class,Southampton,False
48
+ 0-9,3rd Class,Southampton,True
49
+ 0-9,2nd Class,Southampton,True
50
+ 40-49,3rd Class,Southampton,False
51
+ 20-29,2nd Class,Southampton,False
52
+ 30-39,Engine,Southampton,False
53
+ 60-69,2nd Class,Southampton,False
54
+ 20-29,3rd Class,Southampton,False
55
+ 20-29,Victualling,Southampton,False
56
+ 40-49,3rd Class,Queenstown,False
57
+ 20-29,Engine,Southampton,True
58
+ 10-19,3rd Class,Southampton,False
59
+ 20-29,3rd Class,Southampton,True
60
+ 40-49,3rd Class,Southampton,False
61
+ 30-39,3rd Class,Southampton,False
62
+ 20-29,Victualling,Southampton,False
63
+ 20-29,Engine,Southampton,False
64
+ 30-39,Engine,Southampton,False
65
+ 10-19,3rd Class,Queenstown,False
66
+ 10-19,3rd Class,Cherbourg,False
67
+ 0-9,2nd Class,Cherbourg,True
68
+ 30-39,1st Class,Cherbourg,False
69
+ 30-39,Victualling,Southampton,False
70
+ 30-39,3rd Class,Southampton,False
71
+ 30-39,1st Class,Cherbourg,True
72
+ 10-19,3rd Class,Southampton,False
73
+ 30-39,3rd Class,Southampton,False
74
+ 30-39,Victualling,Belfast,False
75
+ 30-39,Deck,Southampton,True
76
+ 30-39,Engine,Southampton,False
77
+ 20-29,Engine,Belfast,False
78
+ 50-59,Victualling,Belfast,False
79
+ 20-29,3rd Class,Southampton,False
80
+ 20-29,Engine,Southampton,False
81
+ 20-29,3rd Class,Southampton,False
82
+ 50-59,Engine,Belfast,False
83
+ 40-49,Victualling,Southampton,False
84
+ 30-39,Victualling,Southampton,False
85
+ 40-49,1st Class,Southampton,True
86
+ 30-39,3rd Class,Cherbourg,False
87
+ 40-49,Victualling,Belfast,False
88
+ 30-39,Victualling,Southampton,False
89
+ 40-49,Engine,Southampton,False
90
+ 40-49,1st Class,Southampton,True
91
+ 20-29,Victualling,Southampton,False
92
+ 20-29,3rd Class,Southampton,False
93
+ 20-29,2nd Class,Cherbourg,False
94
+ 20-29,3rd Class,Southampton,False
95
+ 10-19,2nd Class,Southampton,True
96
+ 20-29,Victualling,Southampton,False
97
+ 30-39,Engine,Southampton,False
98
+ 30-39,2nd Class,Southampton,False
99
+ 30-39,1st Class,,True
100
+ ,2nd Class,Southampton,False
101
+ 60-69,1st Class,Cherbourg,True
102
+ 20-29,Deck,Southampton,False
103
+ 30-39,Victualling,Southampton,False
104
+ 30-39,2nd Class,Southampton,False
105
+ 20-29,3rd Class,Queenstown,True
106
+ 20-29,3rd Class,Southampton,True
107
+ 50-59,2nd Class,Southampton,True
108
+ 20-29,Engine,Southampton,False
109
+ 20-29,3rd Class,Southampton,False
110
+ 40-49,Victualling,Belfast,False
111
+ 30-39,Victualling,Southampton,False
112
+ 20-29,Engine,Southampton,False
113
+ 60-69,1st Class,Southampton,False
114
+ 20-29,Victualling,Belfast,False
115
+ 10-19,Victualling,Belfast,False
116
+ ,Engine,Southampton,False
117
+ 40-49,3rd Class,Southampton,False
118
+ 30-39,Engine,Southampton,False
119
+ 10-19,3rd Class,Southampton,False
120
+ 30-39,3rd Class,Southampton,False
121
+ 20-29,1st Class,Southampton,False
122
+ 10-19,Victualling,Southampton,False
123
+ 20-29,3rd Class,Queenstown,False
124
+ 10-19,A la Carte,Southampton,False
125
+ 10-19,3rd Class,Southampton,False
126
+ 60-69,2nd Class,Southampton,False
127
+ 10-19,2nd Class,Southampton,True
128
+ 40-49,2nd Class,Southampton,False
129
+ 60-69,1st Class,Southampton,False
130
+ 30-39,Engine,Southampton,False
131
+ 20-29,3rd Class,Southampton,False
132
+ 40-49,3rd Class,Southampton,False
133
+ 30-39,Victualling,Belfast,False
134
+ ,1st Class,Southampton,False
135
+ 30-39,Engine,Southampton,False
136
+ 20-29,3rd Class,Queenstown,False
137
+ 20-29,3rd Class,Queenstown,True
138
+ 0-9,3rd Class,Cherbourg,False
139
+ 0-9,3rd Class,Cherbourg,True
140
+ 30-39,3rd Class,Southampton,False
141
+ 30-39,2nd Class,Southampton,True
142
+ 20-29,Engine,Southampton,False
143
+ 20-29,3rd Class,Southampton,False
144
+ 20-29,3rd Class,Queenstown,False
145
+ 10-19,3rd Class,Southampton,False
146
+ 20-29,3rd Class,Cherbourg,True
147
+ 40-49,1st Class,Southampton,True
148
+ 20-29,3rd Class,Queenstown,True
149
+ 30-39,1st Class,Southampton,True
150
+ 20-29,3rd Class,Cherbourg,False
151
+ 30-39,Engine,Southampton,False
152
+ 20-29,Engine,Southampton,False
153
+ 10-19,3rd Class,Southampton,True
154
+ 20-29,3rd Class,Southampton,False
155
+ ,1st Class,Southampton,False
156
+ 40-49,Engine,Belfast,False
157
+ 20-29,2nd Class,Southampton,False
158
+ 20-29,3rd Class,Southampton,False
159
+ 30-39,3rd Class,Southampton,False
160
+ 30-39,Victualling,Belfast,False
161
+ 30-39,3rd Class,Southampton,False
162
+ 40-49,1st Class,Southampton,True
163
+ 30-39,Victualling,Southampton,False
164
+ ,3rd Class,Cherbourg,False
165
+ 40-49,2nd Class,Southampton,True
166
+ 20-29,Engine,Southampton,False
167
+ 20-29,3rd Class,Southampton,False
168
+ 40-49,1st Class,Southampton,False
169
+ 20-29,3rd Class,Southampton,False
170
+ 0-9,2nd Class,Southampton,True
171
+ 20-29,Victualling,Southampton,False
172
+ 20-29,1st Class,Cherbourg,True
173
+ 30-39,Victualling,Southampton,False
174
+ 20-29,Victualling,Southampton,True
175
+ 10-19,2nd Class,Southampton,False
176
+ 20-29,3rd Class,Southampton,False
177
+ 20-29,2nd Class,Southampton,False
178
+ 0-9,3rd Class,Cherbourg,True
179
+ 40-49,3rd Class,Southampton,False
180
+ 10-19,3rd Class,Southampton,False
181
+ 20-29,Victualling,Belfast,False
182
+ 30-39,1st Class,Southampton,False
183
+ 20-29,Engine,Southampton,False
184
+ 30-39,3rd Class,Southampton,False
185
+ 30-39,3rd Class,Cherbourg,False
186
+ 20-29,3rd Class,Southampton,False
187
+ 40-49,Victualling,Southampton,False
188
+ 40-49,3rd Class,Cherbourg,True
189
+ 30-39,Victualling,Southampton,False
190
+ 20-29,Victualling,Southampton,False
191
+ 20-29,3rd Class,Southampton,False
192
+ 30-39,Victualling,Belfast,False
193
+ 30-39,3rd Class,Queenstown,True
194
+ 10-19,2nd Class,Southampton,False
195
+ 30-39,Engine,Southampton,False
196
+ 30-39,3rd Class,Southampton,True
197
+ 40-49,Victualling,Belfast,False
198
+ 40-49,Victualling,Belfast,False
199
+ 10-19,Victualling,Southampton,False
200
+ 30-39,1st Class,Southampton,True
201
+ 20-29,3rd Class,Southampton,False
202
+ 20-29,1st Class,Southampton,True
203
+ 10-19,3rd Class,Southampton,True
204
+ 0-9,2nd Class,Southampton,True
205
+ 30-39,Victualling,Southampton,False
206
+ 60-69,1st Class,Southampton,False
207
+ 40-49,1st Class,Cherbourg,True
208
+ 30-39,2nd Class,Southampton,False
209
+ 20-29,3rd Class,Southampton,False
210
+ 50-59,1st Class,Southampton,True
211
+ 20-29,Engine,Southampton,False
212
+ 20-29,Victualling,Belfast,False
213
+ 20-29,3rd Class,Southampton,False
214
+ 20-29,Victualling,Belfast,True
215
+ 30-39,Victualling,Belfast,False
216
+ 10-19,3rd Class,Southampton,False
217
+ 10-19,3rd Class,Cherbourg,True
218
+ 20-29,Victualling,Southampton,False
219
+ 20-29,3rd Class,Southampton,True
220
+ 20-29,A la Carte,Southampton,False
221
+ 30-39,2nd Class,Southampton,False
222
+ 30-39,3rd Class,Southampton,True
223
+ 30-39,Engine,Southampton,False
224
+ 0-9,3rd Class,Southampton,True
225
+ ,Engine,Southampton,False
226
+ 50-59,2nd Class,Queenstown,False
classification/unipredict/bhavkaur-simplified-titanic-dataset/test.jsonl ADDED
@@ -0,0 +1,225 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
2
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
3
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
4
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
5
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
6
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
7
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
8
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
9
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
10
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
11
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
12
+ {"text": "The age_grp is 20-29. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
13
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
14
+ {"text": "The age_grp is 10-19. The department is A la Carte. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
15
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
16
+ {"text": "The age_grp is 20-29. The department is 2nd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
17
+ {"text": "The age_grp is 40-49. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
18
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
19
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
20
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
21
+ {"text": "The age_grp is 20-29. The department is Deck. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
22
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
23
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
24
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
25
+ {"text": "The age_grp is 40-49. The department is Deck. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
26
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is unknown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
27
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
28
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
29
+ {"text": "The age_grp is unknown. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
30
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
31
+ {"text": "The age_grp is 40-49. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
32
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
33
+ {"text": "The age_grp is 0-9. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
34
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
35
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
36
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
37
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
38
+ {"text": "The age_grp is 40-49. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
39
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
40
+ {"text": "The age_grp is unknown. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
41
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
42
+ {"text": "The age_grp is 30-39. The department is 2nd Class. The embarked is Queenstown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
43
+ {"text": "The age_grp is 40-49. The department is Engine. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
44
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
45
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
46
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
47
+ {"text": "The age_grp is 0-9. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
48
+ {"text": "The age_grp is 0-9. The department is 2nd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
49
+ {"text": "The age_grp is 40-49. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
50
+ {"text": "The age_grp is 20-29. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
51
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
52
+ {"text": "The age_grp is 60-69. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
53
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
54
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
55
+ {"text": "The age_grp is 40-49. The department is 3rd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
56
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
57
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
58
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
59
+ {"text": "The age_grp is 40-49. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
60
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
61
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
62
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
63
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
64
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
65
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
66
+ {"text": "The age_grp is 0-9. The department is 2nd Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
67
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
68
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
69
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
70
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
71
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
72
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
73
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
74
+ {"text": "The age_grp is 30-39. The department is Deck. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
75
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
76
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
77
+ {"text": "The age_grp is 50-59. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
78
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
79
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
80
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
81
+ {"text": "The age_grp is 50-59. The department is Engine. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
82
+ {"text": "The age_grp is 40-49. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
83
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
84
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
85
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
86
+ {"text": "The age_grp is 40-49. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
87
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
88
+ {"text": "The age_grp is 40-49. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
89
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
90
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
91
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
92
+ {"text": "The age_grp is 20-29. The department is 2nd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
93
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
94
+ {"text": "The age_grp is 10-19. The department is 2nd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
95
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
96
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
97
+ {"text": "The age_grp is 30-39. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
98
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is unknown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
99
+ {"text": "The age_grp is unknown. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
100
+ {"text": "The age_grp is 60-69. The department is 1st Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
101
+ {"text": "The age_grp is 20-29. The department is Deck. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
102
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
103
+ {"text": "The age_grp is 30-39. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
104
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
105
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
106
+ {"text": "The age_grp is 50-59. The department is 2nd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
107
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
108
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
109
+ {"text": "The age_grp is 40-49. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
110
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
111
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
112
+ {"text": "The age_grp is 60-69. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
113
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
114
+ {"text": "The age_grp is 10-19. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
115
+ {"text": "The age_grp is unknown. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
116
+ {"text": "The age_grp is 40-49. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
117
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
118
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
119
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
120
+ {"text": "The age_grp is 20-29. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
121
+ {"text": "The age_grp is 10-19. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
122
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
123
+ {"text": "The age_grp is 10-19. The department is A la Carte. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
124
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
125
+ {"text": "The age_grp is 60-69. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
126
+ {"text": "The age_grp is 10-19. The department is 2nd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
127
+ {"text": "The age_grp is 40-49. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
128
+ {"text": "The age_grp is 60-69. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
129
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
130
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
131
+ {"text": "The age_grp is 40-49. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
132
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
133
+ {"text": "The age_grp is unknown. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
134
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
135
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
136
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
137
+ {"text": "The age_grp is 0-9. The department is 3rd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
138
+ {"text": "The age_grp is 0-9. The department is 3rd Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
139
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
140
+ {"text": "The age_grp is 30-39. The department is 2nd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
141
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
142
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
143
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
144
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
145
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
146
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
147
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Queenstown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
148
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
149
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
150
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
151
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
152
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
153
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
154
+ {"text": "The age_grp is unknown. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
155
+ {"text": "The age_grp is 40-49. The department is Engine. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
156
+ {"text": "The age_grp is 20-29. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
157
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
158
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
159
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
160
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
161
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
162
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
163
+ {"text": "The age_grp is unknown. The department is 3rd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
164
+ {"text": "The age_grp is 40-49. The department is 2nd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
165
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
166
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
167
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
168
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
169
+ {"text": "The age_grp is 0-9. The department is 2nd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
170
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
171
+ {"text": "The age_grp is 20-29. The department is 1st Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
172
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
173
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
174
+ {"text": "The age_grp is 10-19. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
175
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
176
+ {"text": "The age_grp is 20-29. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
177
+ {"text": "The age_grp is 0-9. The department is 3rd Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
178
+ {"text": "The age_grp is 40-49. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
179
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
180
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
181
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
182
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
183
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
184
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Cherbourg.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
185
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
186
+ {"text": "The age_grp is 40-49. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
187
+ {"text": "The age_grp is 40-49. The department is 3rd Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
188
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
189
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
190
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
191
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
192
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Queenstown.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
193
+ {"text": "The age_grp is 10-19. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
194
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
195
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
196
+ {"text": "The age_grp is 40-49. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
197
+ {"text": "The age_grp is 40-49. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
198
+ {"text": "The age_grp is 10-19. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
199
+ {"text": "The age_grp is 30-39. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
200
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
201
+ {"text": "The age_grp is 20-29. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
202
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
203
+ {"text": "The age_grp is 0-9. The department is 2nd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
204
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
205
+ {"text": "The age_grp is 60-69. The department is 1st Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
206
+ {"text": "The age_grp is 40-49. The department is 1st Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
207
+ {"text": "The age_grp is 30-39. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
208
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
209
+ {"text": "The age_grp is 50-59. The department is 1st Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
210
+ {"text": "The age_grp is 20-29. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
211
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
212
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
213
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Belfast.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
214
+ {"text": "The age_grp is 30-39. The department is Victualling. The embarked is Belfast.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
215
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
216
+ {"text": "The age_grp is 10-19. The department is 3rd Class. The embarked is Cherbourg.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
217
+ {"text": "The age_grp is 20-29. The department is Victualling. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
218
+ {"text": "The age_grp is 20-29. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
219
+ {"text": "The age_grp is 20-29. The department is A la Carte. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
220
+ {"text": "The age_grp is 30-39. The department is 2nd Class. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
221
+ {"text": "The age_grp is 30-39. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
222
+ {"text": "The age_grp is 30-39. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
223
+ {"text": "The age_grp is 0-9. The department is 3rd Class. The embarked is Southampton.", "label": "True", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
224
+ {"text": "The age_grp is unknown. The department is Engine. The embarked is Southampton.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
225
+ {"text": "The age_grp is 50-59. The department is 2nd Class. The embarked is Queenstown.", "label": "False", "dataset": "bhavkaur-simplified-titanic-dataset", "benchmark": "unipredict", "task_type": "clf"}
classification/unipredict/bhavkaur-simplified-titanic-dataset/train.csv ADDED
@@ -0,0 +1,2016 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ age_grp,department,embarked,survived
2
+ 60-69,1st Class,Southampton,False
3
+ 20-29,Deck,Belfast,True
4
+ 20-29,Victualling,Belfast,False
5
+ 40-49,3rd Class,Cherbourg,False
6
+ 30-39,2nd Class,Southampton,False
7
+ 20-29,Engine,Southampton,False
8
+ 30-39,Victualling,Southampton,False
9
+ 20-29,Victualling,Southampton,False
10
+ 30-39,3rd Class,Southampton,True
11
+ 20-29,Victualling,Belfast,False
12
+ 30-39,Victualling,Southampton,False
13
+ ,1st Class,Southampton,False
14
+ 30-39,Victualling,Southampton,False
15
+ 20-29,3rd Class,Southampton,True
16
+ 20-29,Victualling,Southampton,False
17
+ 50-59,1st Class,Southampton,True
18
+ 30-39,Deck,Southampton,True
19
+ 40-49,2nd Class,Southampton,False
20
+ 30-39,1st Class,Southampton,False
21
+ 30-39,Victualling,Southampton,False
22
+ 10-19,3rd Class,Southampton,False
23
+ 30-39,1st Class,Southampton,True
24
+ 30-39,3rd Class,Southampton,False
25
+ 20-29,Deck,Southampton,True
26
+ 50-59,3rd Class,Southampton,False
27
+ 20-29,2nd Class,Southampton,False
28
+ 10-19,3rd Class,Southampton,False
29
+ 30-39,A la Carte,Southampton,False
30
+ 0-9,3rd Class,Southampton,False
31
+ 50-59,2nd Class,Southampton,False
32
+ 20-29,3rd Class,Cherbourg,False
33
+ 20-29,Engine,Belfast,False
34
+ 20-29,3rd Class,Southampton,True
35
+ 50-59,2nd Class,Southampton,False
36
+ 30-39,2nd Class,Southampton,False
37
+ 60-69,1st Class,Cherbourg,False
38
+ 10-19,3rd Class,Southampton,False
39
+ 40-49,Engine,Southampton,False
40
+ 20-29,3rd Class,Southampton,True
41
+ 30-39,2nd Class,Southampton,True
42
+ 20-29,Victualling,Southampton,False
43
+ 30-39,3rd Class,Southampton,False
44
+ 10-19,3rd Class,Southampton,False
45
+ 10-19,3rd Class,Southampton,False
46
+ 30-39,Victualling,Southampton,False
47
+ 30-39,Engine,Southampton,False
48
+ 50-59,1st Class,Southampton,False
49
+ 20-29,Engine,Southampton,False
50
+ 20-29,Engine,Southampton,False
51
+ 60-69,1st Class,Cherbourg,False
52
+ 30-39,Victualling,Southampton,False
53
+ 50-59,1st Class,Cherbourg,False
54
+ 30-39,2nd Class,Southampton,True
55
+ 10-19,3rd Class,Southampton,False
56
+ 20-29,Engine,Southampton,False
57
+ 10-19,2nd Class,Southampton,False
58
+ 20-29,3rd Class,Southampton,False
59
+ 30-39,1st Class,Southampton,True
60
+ 30-39,Engine,Southampton,False
61
+ 20-29,3rd Class,Southampton,True
62
+ 40-49,1st Class,Southampton,True
63
+ 10-19,1st Class,Cherbourg,True
64
+ 10-19,2nd Class,Cherbourg,True
65
+ 20-29,Engine,Southampton,True
66
+ 10-19,Victualling,Southampton,True
67
+ 20-29,Engine,Southampton,False
68
+ 20-29,3rd Class,Southampton,False
69
+ 20-29,Engine,Southampton,False
70
+ 10-19,3rd Class,Southampton,False
71
+ 30-39,1st Class,Southampton,True
72
+ 10-19,3rd Class,Cherbourg,True
73
+ 40-49,Deck,Southampton,True
74
+ 20-29,Engine,Southampton,False
75
+ 0-9,3rd Class,Southampton,True
76
+ 20-29,3rd Class,Queenstown,False
77
+ 20-29,Victualling,Southampton,False
78
+ 30-39,Victualling,Belfast,True
79
+ 30-39,3rd Class,Southampton,True
80
+ 30-39,2nd Class,Southampton,True
81
+ 20-29,1st Class,Southampton,True
82
+ 30-39,1st Class,Cherbourg,True
83
+ 0-9,3rd Class,Southampton,True
84
+ 0-9,3rd Class,Southampton,False
85
+ 30-39,Victualling,Southampton,False
86
+ 30-39,Victualling,Belfast,False
87
+ 40-49,3rd Class,Southampton,False
88
+ 30-39,Engine,Southampton,False
89
+ 30-39,3rd Class,Cherbourg,False
90
+ 40-49,3rd Class,Southampton,False
91
+ 30-39,Victualling,Belfast,True
92
+ 10-19,3rd Class,Cherbourg,False
93
+ 30-39,Engine,Southampton,False
94
+ 30-39,3rd Class,Southampton,False
95
+ 10-19,2nd Class,Southampton,True
96
+ 20-29,2nd Class,Cherbourg,True
97
+ 20-29,Engine,Belfast,False
98
+ 40-49,3rd Class,Southampton,False
99
+ 20-29,Engine,Southampton,False
100
+ 40-49,2nd Class,Southampton,False
101
+ 20-29,2nd Class,Cherbourg,True
102
+ 20-29,3rd Class,Southampton,True
103
+ 30-39,Engine,Southampton,False
104
+ 40-49,3rd Class,Cherbourg,False
105
+ 20-29,3rd Class,Queenstown,True
106
+ 40-49,1st Class,Cherbourg,False
107
+ 40-49,3rd Class,Southampton,False
108
+ 40-49,1st Class,Southampton,True
109
+ ,3rd Class,Cherbourg,False
110
+ 40-49,1st Class,Cherbourg,False
111
+ 10-19,3rd Class,Southampton,False
112
+ 30-39,Victualling,Belfast,False
113
+ ,2nd Class,Southampton,False
114
+ 40-49,1st Class,Southampton,True
115
+ 10-19,3rd Class,Southampton,True
116
+ 20-29,3rd Class,Southampton,True
117
+ 10-19,3rd Class,Southampton,False
118
+ 20-29,1st Class,Cherbourg,True
119
+ 20-29,3rd Class,Southampton,False
120
+ ,1st Class,Southampton,False
121
+ 20-29,3rd Class,Cherbourg,True
122
+ ,A la Carte,Southampton,False
123
+ 20-29,Engine,Southampton,False
124
+ 40-49,Deck,Southampton,True
125
+ 30-39,Victualling,Belfast,False
126
+ 20-29,Victualling,Southampton,False
127
+ 20-29,Victualling,Southampton,False
128
+ 40-49,3rd Class,Southampton,False
129
+ 10-19,3rd Class,Cherbourg,True
130
+ 40-49,1st Class,Southampton,True
131
+ 20-29,1st Class,Southampton,False
132
+ 20-29,3rd Class,Southampton,False
133
+ 20-29,Victualling,Southampton,False
134
+ 30-39,Engine,Southampton,False
135
+ 40-49,Victualling,Belfast,False
136
+ 30-39,3rd Class,Southampton,False
137
+ 20-29,3rd Class,Southampton,False
138
+ 40-49,2nd Class,Queenstown,True
139
+ 30-39,Engine,Southampton,False
140
+ 20-29,A la Carte,Southampton,False
141
+ 40-49,1st Class,Cherbourg,True
142
+ 40-49,Victualling,Southampton,False
143
+ 30-39,1st Class,Southampton,False
144
+ 20-29,Victualling,Southampton,False
145
+ 40-49,2nd Class,Southampton,True
146
+ 30-39,1st Class,Cherbourg,False
147
+ 20-29,2nd Class,Southampton,True
148
+ 0-9,3rd Class,Southampton,True
149
+ 20-29,3rd Class,Southampton,False
150
+ 20-29,2nd Class,Southampton,False
151
+ 20-29,3rd Class,Southampton,False
152
+ 40-49,Engine,Southampton,False
153
+ 20-29,A la Carte,Southampton,False
154
+ 30-39,2nd Class,Southampton,False
155
+ 30-39,Victualling,Southampton,False
156
+ 20-29,1st Class,Southampton,True
157
+ 10-19,Victualling,Southampton,False
158
+ 30-39,Engine,Southampton,False
159
+ 40-49,Victualling,Southampton,False
160
+ 10-19,1st Class,Cherbourg,True
161
+ 20-29,Victualling,Belfast,True
162
+ 20-29,Victualling,Southampton,True
163
+ 20-29,3rd Class,Southampton,True
164
+ ,1st Class,Southampton,False
165
+ 40-49,2nd Class,Southampton,False
166
+ 30-39,Engine,Southampton,False
167
+ 20-29,A la Carte,Southampton,False
168
+ 30-39,Victualling,Southampton,False
169
+ 20-29,Engine,Southampton,False
170
+ 20-29,Victualling,Southampton,False
171
+ 20-29,3rd Class,Southampton,False
172
+ 20-29,2nd Class,Southampton,True
173
+ 20-29,2nd Class,Southampton,True
174
+ 40-49,1st Class,Southampton,False
175
+ 40-49,Victualling,Southampton,False
176
+ 20-29,Victualling,Belfast,False
177
+ 20-29,2nd Class,Southampton,False
178
+ 30-39,Victualling,Belfast,False
179
+ 30-39,Victualling,Belfast,False
180
+ 20-29,3rd Class,Southampton,False
181
+ 20-29,Victualling,Southampton,False
182
+ 0-9,3rd Class,Southampton,True
183
+ 20-29,Engine,Southampton,False
184
+ 0-9,1st Class,Southampton,True
185
+ 30-39,Engine,Southampton,False
186
+ 30-39,3rd Class,Southampton,False
187
+ 40-49,3rd Class,Southampton,False
188
+ 20-29,1st Class,Cherbourg,True
189
+ 30-39,3rd Class,Southampton,False
190
+ 30-39,Engine,Southampton,False
191
+ 30-39,2nd Class,Southampton,False
192
+ 30-39,1st Class,Cherbourg,False
193
+ 20-29,3rd Class,Queenstown,True
194
+ 0-9,2nd Class,Southampton,True
195
+ 30-39,Victualling,Southampton,False
196
+ 30-39,3rd Class,Queenstown,False
197
+ 20-29,1st Class,Cherbourg,True
198
+ 30-39,2nd Class,Southampton,True
199
+ 20-29,Engine,Southampton,False
200
+ 40-49,3rd Class,Southampton,False
201
+ 30-39,Victualling,Belfast,False
202
+ 40-49,1st Class,Cherbourg,True
203
+ 20-29,A la Carte,Southampton,False
204
+ 40-49,Victualling,Belfast,False
205
+ 20-29,Engine,Southampton,False
206
+ 20-29,2nd Class,Southampton,False
207
+ 20-29,3rd Class,Southampton,True
208
+ 10-19,3rd Class,Southampton,False
209
+ 20-29,3rd Class,Southampton,False
210
+ 20-29,A la Carte,Southampton,False
211
+ 50-59,Victualling,Southampton,False
212
+ 30-39,Victualling,Southampton,False
213
+ 20-29,A la Carte,Southampton,False
214
+ 30-39,2nd Class,Southampton,False
215
+ 0-9,3rd Class,Southampton,False
216
+ 40-49,Victualling,Belfast,False
217
+ 20-29,1st Class,Cherbourg,True
218
+ 60-69,3rd Class,Queenstown,False
219
+ 20-29,3rd Class,Cherbourg,True
220
+ 20-29,3rd Class,Queenstown,False
221
+ 40-49,1st Class,Cherbourg,True
222
+ 30-39,Victualling,Southampton,False
223
+ 20-29,Deck,Belfast,True
224
+ 20-29,3rd Class,Queenstown,False
225
+ 50-59,1st Class,Southampton,False
226
+ 30-39,2nd Class,Southampton,False
227
+ 30-39,Engine,Southampton,False
228
+ 20-29,Engine,Southampton,False
229
+ 0-9,3rd Class,Southampton,False
230
+ 30-39,Victualling,Belfast,False
231
+ 0-9,3rd Class,Southampton,False
232
+ 20-29,3rd Class,Southampton,False
233
+ 20-29,3rd Class,Southampton,True
234
+ 20-29,3rd Class,Southampton,False
235
+ 20-29,Victualling,Southampton,False
236
+ 10-19,3rd Class,Southampton,False
237
+ 40-49,Engine,Southampton,False
238
+ 20-29,3rd Class,Southampton,True
239
+ 30-39,3rd Class,Southampton,False
240
+ 20-29,Victualling,Southampton,False
241
+ 10-19,3rd Class,Queenstown,True
242
+ 10-19,3rd Class,Southampton,False
243
+ 20-29,3rd Class,Cherbourg,False
244
+ 0-9,3rd Class,Southampton,False
245
+ 10-19,Victualling,Southampton,False
246
+ 20-29,2nd Class,Southampton,False
247
+ 30-39,Deck,Belfast,True
248
+ 0-9,1st Class,Southampton,True
249
+ 50-59,3rd Class,Southampton,False
250
+ 40-49,2nd Class,Southampton,False
251
+ 40-49,3rd Class,Southampton,False
252
+ 10-19,3rd Class,Cherbourg,False
253
+ 60-69,2nd Class,Queenstown,False
254
+ 30-39,Engine,Southampton,False
255
+ 30-39,1st Class,Southampton,True
256
+ 20-29,3rd Class,Queenstown,False
257
+ 30-39,3rd Class,Southampton,True
258
+ 30-39,Victualling,Belfast,False
259
+ 20-29,3rd Class,Southampton,True
260
+ 30-39,Engine,Southampton,False
261
+ 20-29,3rd Class,Southampton,False
262
+ 10-19,2nd Class,Southampton,False
263
+ 20-29,3rd Class,Cherbourg,False
264
+ 30-39,1st Class,Southampton,False
265
+ 20-29,Victualling,Southampton,False
266
+ 20-29,1st Class,Southampton,True
267
+ 30-39,Victualling,Southampton,True
268
+ 40-49,1st Class,Southampton,False
269
+ 20-29,Victualling,Southampton,False
270
+ 30-39,Engine,Belfast,False
271
+ 20-29,Deck,Southampton,False
272
+ 30-39,3rd Class,Southampton,False
273
+ 20-29,3rd Class,Queenstown,True
274
+ 10-19,3rd Class,Cherbourg,False
275
+ 20-29,Engine,Southampton,False
276
+ 20-29,3rd Class,Southampton,False
277
+ 20-29,2nd Class,Southampton,False
278
+ 50-59,1st Class,Cherbourg,True
279
+ 10-19,3rd Class,Queenstown,False
280
+ 20-29,3rd Class,Queenstown,False
281
+ 30-39,3rd Class,Southampton,True
282
+ 20-29,2nd Class,Southampton,False
283
+ 20-29,Deck,Belfast,True
284
+ 60-69,1st Class,Southampton,True
285
+ 20-29,2nd Class,Southampton,True
286
+ 30-39,Victualling,Southampton,False
287
+ 20-29,3rd Class,Southampton,True
288
+ 30-39,Victualling,Southampton,False
289
+ 50-59,1st Class,Southampton,False
290
+ ,1st Class,Southampton,False
291
+ 20-29,Victualling,Southampton,False
292
+ 10-19,Victualling,Southampton,False
293
+ 10-19,3rd Class,Cherbourg,False
294
+ 40-49,2nd Class,Southampton,False
295
+ 60-69,1st Class,Southampton,True
296
+ 50-59,2nd Class,Southampton,False
297
+ 40-49,2nd Class,Southampton,False
298
+ 30-39,Deck,Southampton,False
299
+ 30-39,3rd Class,Southampton,True
300
+ 40-49,Engine,Southampton,False
301
+ 30-39,2nd Class,Southampton,False
302
+ 30-39,3rd Class,Cherbourg,False
303
+ 20-29,3rd Class,Southampton,False
304
+ 20-29,3rd Class,Southampton,False
305
+ 20-29,Victualling,Southampton,False
306
+ 20-29,Engine,Southampton,False
307
+ 20-29,3rd Class,Southampton,True
308
+ 20-29,2nd Class,Cherbourg,True
309
+ 30-39,Victualling,Southampton,False
310
+ 10-19,3rd Class,Southampton,False
311
+ 30-39,1st Class,Cherbourg,True
312
+ 20-29,Victualling,Southampton,False
313
+ 20-29,3rd Class,Southampton,False
314
+ 20-29,Engine,Belfast,False
315
+ 20-29,2nd Class,Cherbourg,True
316
+ 20-29,3rd Class,Southampton,False
317
+ 20-29,2nd Class,Southampton,True
318
+ 20-29,3rd Class,Southampton,False
319
+ 20-29,Engine,Southampton,False
320
+ 30-39,Victualling,Southampton,False
321
+ 10-19,A la Carte,Southampton,False
322
+ 30-39,Engine,Southampton,False
323
+ 20-29,Victualling,Southampton,False
324
+ 20-29,3rd Class,Southampton,False
325
+ 30-39,Victualling,Southampton,False
326
+ 20-29,Engine,Southampton,False
327
+ 0-9,3rd Class,Southampton,False
328
+ 20-29,Deck,Belfast,True
329
+ 20-29,3rd Class,Southampton,False
330
+ 20-29,3rd Class,Cherbourg,False
331
+ 20-29,Engine,Southampton,False
332
+ 30-39,3rd Class,Southampton,True
333
+ 60-69,1st Class,Cherbourg,True
334
+ 20-29,3rd Class,Southampton,False
335
+ 20-29,Victualling,Belfast,False
336
+ 20-29,3rd Class,Southampton,False
337
+ 30-39,Engine,Southampton,False
338
+ 20-29,Engine,Southampton,False
339
+ 20-29,3rd Class,Cherbourg,True
340
+ 20-29,Victualling,Southampton,False
341
+ 60-69,1st Class,Southampton,False
342
+ 40-49,3rd Class,Southampton,False
343
+ 20-29,Engine,Southampton,False
344
+ 20-29,3rd Class,Southampton,False
345
+ 0-9,3rd Class,Southampton,False
346
+ 10-19,Engine,Southampton,False
347
+ 20-29,A la Carte,Southampton,False
348
+ 20-29,3rd Class,Southampton,False
349
+ 20-29,3rd Class,Cherbourg,False
350
+ 30-39,Victualling,Belfast,False
351
+ 30-39,Victualling,Southampton,False
352
+ 30-39,Engine,Southampton,False
353
+ 30-39,Engine,Belfast,False
354
+ 20-29,3rd Class,Queenstown,False
355
+ 20-29,3rd Class,Southampton,False
356
+ 20-29,A la Carte,Southampton,False
357
+ 40-49,1st Class,Cherbourg,False
358
+ 50-59,2nd Class,Southampton,False
359
+ 30-39,3rd Class,Queenstown,True
360
+ 20-29,3rd Class,Queenstown,False
361
+ 20-29,3rd Class,Southampton,False
362
+ 20-29,3rd Class,Southampton,False
363
+ 40-49,Victualling,Belfast,True
364
+ 40-49,3rd Class,Queenstown,False
365
+ 10-19,3rd Class,Queenstown,True
366
+ 20-29,1st Class,Southampton,False
367
+ 30-39,1st Class,Southampton,False
368
+ 40-49,3rd Class,Southampton,False
369
+ 10-19,3rd Class,Southampton,False
370
+ 30-39,3rd Class,Cherbourg,False
371
+ 30-39,Victualling,Southampton,False
372
+ 30-39,Engine,Southampton,False
373
+ 40-49,Deck,Southampton,True
374
+ 10-19,3rd Class,Cherbourg,False
375
+ 40-49,2nd Class,Southampton,False
376
+ 30-39,Victualling,Southampton,False
377
+ 20-29,A la Carte,Southampton,False
378
+ 20-29,Deck,Southampton,True
379
+ 20-29,3rd Class,Southampton,False
380
+ 20-29,Victualling,Southampton,False
381
+ 30-39,3rd Class,Southampton,False
382
+ 30-39,3rd Class,Southampton,False
383
+ 20-29,2nd Class,Southampton,False
384
+ 20-29,2nd Class,Southampton,True
385
+ 30-39,Victualling,Southampton,False
386
+ 40-49,2nd Class,Southampton,False
387
+ 20-29,3rd Class,Queenstown,False
388
+ 40-49,1st Class,Cherbourg,True
389
+ 30-39,Victualling,Southampton,False
390
+ 20-29,3rd Class,Queenstown,True
391
+ 30-39,Victualling,Southampton,False
392
+ 10-19,3rd Class,Cherbourg,False
393
+ 20-29,3rd Class,Southampton,False
394
+ 20-29,2nd Class,Southampton,True
395
+ 30-39,Engine,Southampton,False
396
+ 40-49,2nd Class,Southampton,True
397
+ 30-39,Victualling,Southampton,False
398
+ 30-39,Engine,Southampton,False
399
+ 30-39,Engine,Southampton,False
400
+ 20-29,Engine,Southampton,False
401
+ 20-29,2nd Class,Southampton,False
402
+ 20-29,Deck,Southampton,False
403
+ 30-39,Victualling,Southampton,False
404
+ 20-29,Engine,Southampton,False
405
+ 60-69,2nd Class,Southampton,True
406
+ 20-29,1st Class,Southampton,True
407
+ 40-49,3rd Class,Southampton,True
408
+ 20-29,1st Class,Cherbourg,True
409
+ 0-9,3rd Class,Cherbourg,True
410
+ 20-29,Engine,Southampton,False
411
+ 0-9,3rd Class,Southampton,False
412
+ 30-39,1st Class,Cherbourg,True
413
+ 20-29,3rd Class,Queenstown,False
414
+ 20-29,3rd Class,Southampton,False
415
+ 30-39,1st Class,Cherbourg,True
416
+ 30-39,3rd Class,Cherbourg,False
417
+ 20-29,Victualling,Belfast,True
418
+ 20-29,Engine,Southampton,False
419
+ 20-29,Victualling,Belfast,False
420
+ 20-29,Deck,Southampton,True
421
+ 20-29,2nd Class,Southampton,False
422
+ 50-59,2nd Class,Southampton,True
423
+ 30-39,Victualling,Southampton,False
424
+ 30-39,2nd Class,Southampton,False
425
+ 20-29,3rd Class,Cherbourg,False
426
+ 30-39,Victualling,Belfast,False
427
+ 40-49,Victualling,Southampton,False
428
+ 30-39,2nd Class,Southampton,False
429
+ 30-39,Victualling,Southampton,False
430
+ 20-29,Victualling,Southampton,False
431
+ 30-39,Victualling,Belfast,False
432
+ 20-29,Victualling,Southampton,False
433
+ 30-39,3rd Class,Queenstown,False
434
+ 70-79,2nd Class,Southampton,False
435
+ 50-59,1st Class,Southampton,True
436
+ 20-29,1st Class,Southampton,True
437
+ 30-39,Victualling,Southampton,False
438
+ 0-9,3rd Class,Southampton,True
439
+ 30-39,Victualling,Southampton,False
440
+ 30-39,Victualling,Southampton,False
441
+ 30-39,Victualling,Belfast,True
442
+ 20-29,2nd Class,Southampton,True
443
+ 30-39,Engine,Southampton,False
444
+ 20-29,Engine,Southampton,False
445
+ 30-39,Deck,Belfast,False
446
+ 30-39,Victualling,Belfast,False
447
+ 40-49,Deck,Southampton,True
448
+ 30-39,Deck,Southampton,False
449
+ 20-29,Deck,Southampton,True
450
+ 10-19,3rd Class,Southampton,False
451
+ 10-19,1st Class,Southampton,False
452
+ 30-39,Victualling,Belfast,True
453
+ 40-49,Engine,Southampton,False
454
+ 20-29,3rd Class,Queenstown,False
455
+ 20-29,2nd Class,Southampton,True
456
+ 30-39,1st Class,Cherbourg,False
457
+ 20-29,3rd Class,Southampton,True
458
+ 20-29,3rd Class,Southampton,False
459
+ 20-29,3rd Class,Southampton,False
460
+ 0-9,3rd Class,Southampton,False
461
+ 20-29,3rd Class,Cherbourg,True
462
+ 40-49,3rd Class,Southampton,False
463
+ 30-39,Engine,Southampton,False
464
+ 40-49,1st Class,Southampton,False
465
+ 50-59,Victualling,Southampton,False
466
+ 10-19,3rd Class,Cherbourg,False
467
+ 20-29,A la Carte,Southampton,False
468
+ 20-29,Engine,Belfast,False
469
+ 30-39,1st Class,Southampton,True
470
+ 40-49,Victualling,Southampton,False
471
+ 10-19,2nd Class,Southampton,False
472
+ 40-49,Victualling,Southampton,False
473
+ 30-39,1st Class,Southampton,True
474
+ 20-29,Engine,Southampton,False
475
+ 10-19,3rd Class,Cherbourg,False
476
+ 30-39,3rd Class,Southampton,True
477
+ 20-29,3rd Class,Southampton,False
478
+ 20-29,3rd Class,Southampton,True
479
+ 70-79,1st Class,Cherbourg,False
480
+ 30-39,Engine,Southampton,False
481
+ 30-39,Deck,Belfast,True
482
+ 20-29,Engine,Southampton,False
483
+ 10-19,3rd Class,Southampton,False
484
+ 30-39,Engine,Southampton,False
485
+ 20-29,Victualling,Southampton,False
486
+ 40-49,1st Class,Cherbourg,True
487
+ 20-29,Victualling,Southampton,False
488
+ 20-29,2nd Class,Southampton,False
489
+ 20-29,A la Carte,Southampton,False
490
+ 30-39,Victualling,Southampton,False
491
+ 20-29,Victualling,Southampton,False
492
+ 20-29,2nd Class,Southampton,True
493
+ 30-39,1st Class,Southampton,True
494
+ 30-39,1st Class,Cherbourg,False
495
+ 20-29,Victualling,Southampton,False
496
+ 30-39,Victualling,Southampton,False
497
+ 30-39,3rd Class,Southampton,False
498
+ 20-29,2nd Class,Southampton,False
499
+ 10-19,3rd Class,Southampton,False
500
+ 20-29,2nd Class,Southampton,True
501
+ 30-39,2nd Class,Southampton,False
502
+ 20-29,2nd Class,Southampton,False
503
+ 20-29,3rd Class,Southampton,False
504
+ 40-49,Deck,Southampton,True
505
+ 20-29,Engine,Southampton,False
506
+ 20-29,3rd Class,Southampton,False
507
+ 30-39,Victualling,Southampton,False
508
+ 0-9,2nd Class,Southampton,True
509
+ 30-39,1st Class,Southampton,True
510
+ 20-29,Victualling,Southampton,False
511
+ 50-59,1st Class,Southampton,False
512
+ 10-19,3rd Class,Southampton,True
513
+ 20-29,A la Carte,Southampton,False
514
+ 20-29,3rd Class,Queenstown,False
515
+ 20-29,Victualling,Southampton,False
516
+ 20-29,3rd Class,Southampton,False
517
+ 20-29,3rd Class,Southampton,True
518
+ 30-39,1st Class,Cherbourg,True
519
+ 20-29,Engine,Belfast,False
520
+ 20-29,A la Carte,Southampton,False
521
+ 30-39,Engine,Belfast,False
522
+ 20-29,3rd Class,Queenstown,False
523
+ 20-29,Victualling,Southampton,False
524
+ 20-29,3rd Class,Southampton,False
525
+ 30-39,Deck,Belfast,True
526
+ 20-29,Victualling,Belfast,False
527
+ 20-29,Engine,Southampton,False
528
+ 40-49,3rd Class,Queenstown,False
529
+ 50-59,Victualling,Southampton,False
530
+ 20-29,A la Carte,Southampton,False
531
+ 30-39,3rd Class,Southampton,False
532
+ 20-29,2nd Class,Southampton,False
533
+ 20-29,3rd Class,Southampton,False
534
+ 20-29,A la Carte,Southampton,False
535
+ 20-29,3rd Class,Southampton,False
536
+ 20-29,3rd Class,Southampton,False
537
+ 30-39,Engine,Southampton,True
538
+ 40-49,Victualling,Belfast,True
539
+ 30-39,Engine,Belfast,False
540
+ 30-39,3rd Class,Cherbourg,False
541
+ 20-29,2nd Class,Cherbourg,True
542
+ 30-39,3rd Class,Southampton,False
543
+ 30-39,3rd Class,Southampton,False
544
+ 30-39,Engine,Belfast,False
545
+ 20-29,2nd Class,Southampton,False
546
+ 10-19,3rd Class,Southampton,True
547
+ 20-29,2nd Class,Southampton,False
548
+ 40-49,1st Class,Southampton,True
549
+ 20-29,Engine,Southampton,False
550
+ 0-9,3rd Class,Southampton,False
551
+ 20-29,3rd Class,Southampton,False
552
+ 20-29,Engine,Southampton,False
553
+ 20-29,Engine,Southampton,False
554
+ 30-39,3rd Class,Queenstown,False
555
+ 20-29,3rd Class,Southampton,False
556
+ 30-39,Engine,Southampton,False
557
+ 30-39,Deck,Belfast,True
558
+ 30-39,Engine,Belfast,False
559
+ 30-39,Engine,Southampton,False
560
+ 30-39,Victualling,Southampton,False
561
+ 0-9,3rd Class,Queenstown,False
562
+ 20-29,2nd Class,Southampton,False
563
+ 20-29,2nd Class,Southampton,True
564
+ 10-19,1st Class,Cherbourg,True
565
+ 30-39,Victualling,Belfast,False
566
+ 20-29,Victualling,Southampton,False
567
+ 30-39,Victualling,Belfast,False
568
+ 10-19,3rd Class,Queenstown,False
569
+ 20-29,3rd Class,Southampton,False
570
+ 60-69,1st Class,Cherbourg,False
571
+ 30-39,Victualling,Southampton,False
572
+ 20-29,Victualling,Belfast,True
573
+ 10-19,Victualling,Southampton,False
574
+ 20-29,3rd Class,Southampton,False
575
+ 30-39,Engine,Southampton,False
576
+ 20-29,Engine,Southampton,False
577
+ 40-49,1st Class,Southampton,True
578
+ 30-39,Victualling,Southampton,False
579
+ 20-29,Victualling,Southampton,False
580
+ 30-39,Engine,Belfast,False
581
+ 20-29,3rd Class,Queenstown,False
582
+ 30-39,Engine,Southampton,False
583
+ 20-29,Engine,Southampton,False
584
+ 0-9,3rd Class,Southampton,False
585
+ 30-39,Engine,Southampton,False
586
+ 10-19,2nd Class,Southampton,False
587
+ 20-29,A la Carte,Southampton,False
588
+ 30-39,1st Class,Southampton,False
589
+ 0-9,3rd Class,Queenstown,False
590
+ 10-19,1st Class,Southampton,True
591
+ 20-29,2nd Class,Cherbourg,False
592
+ 40-49,1st Class,Southampton,False
593
+ 20-29,3rd Class,Southampton,True
594
+ 30-39,Victualling,Belfast,False
595
+ 30-39,A la Carte,Southampton,False
596
+ 30-39,2nd Class,Southampton,False
597
+ 20-29,3rd Class,Southampton,False
598
+ 10-19,A la Carte,Southampton,False
599
+ 20-29,2nd Class,Cherbourg,True
600
+ 10-19,3rd Class,Southampton,True
601
+ 20-29,Deck,Southampton,True
602
+ 20-29,3rd Class,Southampton,False
603
+ 40-49,Engine,Southampton,False
604
+ 40-49,3rd Class,Southampton,False
605
+ 10-19,3rd Class,Southampton,False
606
+ 30-39,Engine,Southampton,False
607
+ 20-29,1st Class,Southampton,True
608
+ 10-19,2nd Class,Belfast,False
609
+ 40-49,1st Class,Southampton,True
610
+ 30-39,Victualling,Southampton,False
611
+ 20-29,Victualling,Southampton,False
612
+ 40-49,3rd Class,Cherbourg,False
613
+ 30-39,Victualling,Southampton,False
614
+ 30-39,Victualling,Southampton,False
615
+ 30-39,2nd Class,Southampton,False
616
+ 20-29,1st Class,Southampton,False
617
+ 30-39,Engine,Southampton,False
618
+ 40-49,Engine,Southampton,False
619
+ 20-29,3rd Class,Queenstown,False
620
+ 30-39,Victualling,Southampton,False
621
+ 20-29,3rd Class,Queenstown,False
622
+ 10-19,3rd Class,Cherbourg,False
623
+ 20-29,Victualling,Southampton,False
624
+ 20-29,3rd Class,Cherbourg,False
625
+ 40-49,Victualling,Southampton,False
626
+ 10-19,1st Class,Southampton,False
627
+ 30-39,Engine,Southampton,False
628
+ 20-29,1st Class,Cherbourg,True
629
+ 30-39,Engine,Southampton,False
630
+ 20-29,Engine,Southampton,True
631
+ 30-39,Victualling,Belfast,False
632
+ 20-29,Deck,Southampton,True
633
+ 40-49,Engine,Southampton,False
634
+ 30-39,Engine,Southampton,False
635
+ 20-29,Victualling,Belfast,False
636
+ 20-29,A la Carte,Southampton,False
637
+ 20-29,Engine,Southampton,False
638
+ 40-49,1st Class,Southampton,True
639
+ 30-39,3rd Class,Cherbourg,False
640
+ 20-29,2nd Class,Belfast,False
641
+ 30-39,Victualling,Belfast,False
642
+ 20-29,3rd Class,Southampton,False
643
+ 20-29,1st Class,Southampton,True
644
+ 20-29,Victualling,Southampton,False
645
+ 10-19,3rd Class,Southampton,False
646
+ 30-39,2nd Class,Southampton,True
647
+ 30-39,Victualling,Southampton,False
648
+ 20-29,A la Carte,Southampton,False
649
+ 30-39,3rd Class,Southampton,True
650
+ 50-59,1st Class,Southampton,True
651
+ 40-49,3rd Class,Southampton,False
652
+ 40-49,Victualling,Southampton,False
653
+ 30-39,1st Class,Cherbourg,True
654
+ 0-9,2nd Class,Cherbourg,True
655
+ 10-19,Victualling,Southampton,False
656
+ 50-59,3rd Class,Southampton,False
657
+ 40-49,3rd Class,Queenstown,False
658
+ 40-49,1st Class,Southampton,False
659
+ 30-39,1st Class,Southampton,True
660
+ 10-19,1st Class,Southampton,True
661
+ 0-9,2nd Class,Southampton,True
662
+ 20-29,Engine,Southampton,False
663
+ 40-49,1st Class,Cherbourg,False
664
+ 30-39,1st Class,Southampton,False
665
+ 20-29,3rd Class,Southampton,False
666
+ 20-29,3rd Class,Cherbourg,False
667
+ 20-29,Victualling,Southampton,False
668
+ 40-49,Engine,Belfast,False
669
+ 20-29,3rd Class,Southampton,False
670
+ 30-39,3rd Class,Southampton,True
671
+ 30-39,Victualling,Belfast,False
672
+ 20-29,3rd Class,Queenstown,False
673
+ 40-49,1st Class,,False
674
+ 10-19,Victualling,Southampton,False
675
+ 30-39,2nd Class,Queenstown,False
676
+ 50-59,Victualling,Belfast,False
677
+ 30-39,Victualling,Southampton,True
678
+ 20-29,2nd Class,Southampton,True
679
+ 20-29,1st Class,Cherbourg,False
680
+ 20-29,2nd Class,Southampton,False
681
+ 50-59,1st Class,Southampton,False
682
+ 20-29,3rd Class,Southampton,False
683
+ 20-29,Victualling,Belfast,False
684
+ 30-39,Victualling,Southampton,False
685
+ 10-19,2nd Class,Southampton,False
686
+ 40-49,3rd Class,Southampton,False
687
+ 30-39,3rd Class,Southampton,False
688
+ 20-29,3rd Class,Southampton,False
689
+ 20-29,1st Class,Cherbourg,True
690
+ 50-59,1st Class,Cherbourg,False
691
+ 20-29,Engine,Southampton,False
692
+ 10-19,Victualling,Southampton,False
693
+ 30-39,Victualling,Southampton,False
694
+ 20-29,Deck,Southampton,False
695
+ 30-39,Engine,Southampton,False
696
+ 10-19,3rd Class,Queenstown,True
697
+ 20-29,Engine,Belfast,False
698
+ 20-29,3rd Class,Southampton,False
699
+ 20-29,3rd Class,Queenstown,True
700
+ 40-49,Engine,Southampton,False
701
+ 60-69,1st Class,Belfast,False
702
+ 30-39,3rd Class,Southampton,False
703
+ 20-29,2nd Class,Southampton,False
704
+ 30-39,Engine,Southampton,False
705
+ 40-49,2nd Class,Southampton,True
706
+ 40-49,3rd Class,Southampton,False
707
+ 20-29,A la Carte,Southampton,False
708
+ 10-19,1st Class,Cherbourg,True
709
+ 40-49,Victualling,Southampton,False
710
+ 20-29,Engine,Southampton,False
711
+ 30-39,2nd Class,Southampton,True
712
+ 40-49,1st Class,Cherbourg,True
713
+ 30-39,3rd Class,Southampton,False
714
+ 10-19,Victualling,Southampton,False
715
+ 20-29,Engine,Southampton,False
716
+ 30-39,Engine,Southampton,False
717
+ 20-29,Victualling,Southampton,False
718
+ 10-19,3rd Class,Cherbourg,False
719
+ 10-19,2nd Class,Southampton,False
720
+ 30-39,Engine,Southampton,False
721
+ 40-49,Victualling,Southampton,False
722
+ 20-29,Engine,Southampton,False
723
+ ,1st Class,Southampton,False
724
+ 30-39,1st Class,Cherbourg,True
725
+ 20-29,1st Class,Cherbourg,True
726
+ 50-59,1st Class,Cherbourg,False
727
+ 20-29,Engine,Southampton,False
728
+ 40-49,Victualling,Belfast,False
729
+ 50-59,3rd Class,Southampton,False
730
+ 20-29,Engine,Southampton,False
731
+ 30-39,Victualling,Southampton,False
732
+ 40-49,2nd Class,Southampton,False
733
+ 50-59,2nd Class,Southampton,True
734
+ 40-49,1st Class,Southampton,False
735
+ 20-29,Engine,Southampton,False
736
+ 10-19,3rd Class,Queenstown,True
737
+ 20-29,Engine,Southampton,False
738
+ 30-39,3rd Class,Southampton,True
739
+ 30-39,3rd Class,Southampton,False
740
+ 30-39,2nd Class,Southampton,True
741
+ 20-29,1st Class,Cherbourg,False
742
+ 40-49,3rd Class,Southampton,False
743
+ 20-29,Engine,Southampton,False
744
+ 20-29,Victualling,Southampton,False
745
+ 30-39,Engine,Southampton,False
746
+ 70-79,1st Class,Southampton,False
747
+ 20-29,Victualling,Southampton,False
748
+ 40-49,A la Carte,Southampton,False
749
+ 20-29,Victualling,Southampton,False
750
+ 40-49,1st Class,Southampton,True
751
+ 10-19,3rd Class,Southampton,False
752
+ 40-49,Engine,Southampton,False
753
+ 20-29,A la Carte,Southampton,False
754
+ 20-29,2nd Class,Southampton,False
755
+ 20-29,3rd Class,Southampton,False
756
+ 30-39,3rd Class,Southampton,True
757
+ 20-29,2nd Class,Southampton,False
758
+ 20-29,3rd Class,Southampton,False
759
+ 10-19,2nd Class,Southampton,False
760
+ 10-19,1st Class,Southampton,True
761
+ 30-39,Engine,Southampton,False
762
+ 30-39,Victualling,Southampton,False
763
+ 30-39,3rd Class,Southampton,False
764
+ 30-39,3rd Class,Southampton,True
765
+ 0-9,3rd Class,Southampton,False
766
+ 0-9,2nd Class,Southampton,True
767
+ 30-39,Engine,Southampton,False
768
+ 10-19,3rd Class,Southampton,False
769
+ 20-29,Engine,Southampton,False
770
+ 30-39,Victualling,Belfast,False
771
+ 20-29,3rd Class,Southampton,True
772
+ 20-29,3rd Class,Southampton,False
773
+ 20-29,A la Carte,Southampton,False
774
+ 30-39,Victualling,Belfast,False
775
+ 20-29,Engine,Southampton,False
776
+ 30-39,1st Class,Southampton,False
777
+ 30-39,2nd Class,Queenstown,False
778
+ 20-29,1st Class,Belfast,False
779
+ 30-39,Victualling,Southampton,False
780
+ 0-9,3rd Class,Cherbourg,True
781
+ 20-29,3rd Class,Southampton,False
782
+ 20-29,1st Class,Southampton,True
783
+ 30-39,Victualling,Southampton,False
784
+ 20-29,1st Class,Cherbourg,True
785
+ 20-29,Victualling,Southampton,False
786
+ 30-39,3rd Class,Southampton,True
787
+ 50-59,Engine,Belfast,False
788
+ 20-29,3rd Class,Southampton,True
789
+ 20-29,1st Class,Southampton,True
790
+ 20-29,3rd Class,Queenstown,False
791
+ 20-29,3rd Class,Southampton,False
792
+ 20-29,3rd Class,Queenstown,False
793
+ 20-29,3rd Class,Cherbourg,False
794
+ 10-19,1st Class,Southampton,True
795
+ 30-39,3rd Class,Southampton,False
796
+ 30-39,2nd Class,Southampton,True
797
+ 20-29,Victualling,Belfast,False
798
+ 10-19,3rd Class,Southampton,False
799
+ 30-39,A la Carte,Southampton,False
800
+ 30-39,Engine,Southampton,False
801
+ 20-29,3rd Class,Queenstown,True
802
+ 20-29,3rd Class,Queenstown,True
803
+ 30-39,3rd Class,Southampton,False
804
+ 40-49,Victualling,Southampton,False
805
+ 20-29,3rd Class,Cherbourg,False
806
+ 30-39,1st Class,Southampton,True
807
+ 40-49,3rd Class,Southampton,False
808
+ 30-39,Engine,Southampton,False
809
+ 20-29,3rd Class,Southampton,False
810
+ 30-39,3rd Class,Southampton,False
811
+ 20-29,Victualling,Southampton,False
812
+ 20-29,Victualling,Southampton,False
813
+ 20-29,Victualling,Belfast,False
814
+ 30-39,1st Class,Cherbourg,True
815
+ 40-49,Victualling,Belfast,False
816
+ 20-29,2nd Class,Cherbourg,True
817
+ 30-39,Victualling,Southampton,False
818
+ 30-39,2nd Class,Southampton,True
819
+ 40-49,2nd Class,Southampton,True
820
+ 50-59,1st Class,Cherbourg,True
821
+ 20-29,3rd Class,Southampton,False
822
+ 50-59,3rd Class,Southampton,False
823
+ 20-29,Victualling,Southampton,False
824
+ 30-39,3rd Class,Southampton,True
825
+ 60-69,1st Class,Southampton,True
826
+ 20-29,Engine,Belfast,False
827
+ 30-39,Victualling,Southampton,False
828
+ 20-29,Victualling,Southampton,False
829
+ 20-29,3rd Class,Southampton,False
830
+ 20-29,2nd Class,Southampton,False
831
+ 30-39,3rd Class,Southampton,False
832
+ 0-9,3rd Class,Cherbourg,False
833
+ 20-29,3rd Class,Southampton,True
834
+ 50-59,1st Class,Southampton,False
835
+ 10-19,3rd Class,Southampton,False
836
+ 20-29,3rd Class,Southampton,True
837
+ 50-59,2nd Class,Southampton,False
838
+ 40-49,Engine,Belfast,False
839
+ 20-29,2nd Class,Southampton,False
840
+ 70-79,1st Class,Cherbourg,False
841
+ 10-19,3rd Class,Southampton,False
842
+ 20-29,2nd Class,Southampton,True
843
+ 20-29,3rd Class,Queenstown,False
844
+ 10-19,Victualling,Southampton,False
845
+ 20-29,Engine,Southampton,False
846
+ 20-29,Engine,Southampton,False
847
+ 40-49,Engine,Southampton,False
848
+ 20-29,2nd Class,Southampton,True
849
+ 60-69,Engine,Southampton,False
850
+ 50-59,3rd Class,Southampton,False
851
+ 30-39,Engine,Southampton,False
852
+ 30-39,Engine,Southampton,False
853
+ 30-39,Victualling,Belfast,False
854
+ 30-39,2nd Class,Southampton,True
855
+ 40-49,3rd Class,Southampton,False
856
+ 20-29,3rd Class,Southampton,False
857
+ 30-39,3rd Class,Southampton,False
858
+ 30-39,3rd Class,Queenstown,True
859
+ 30-39,Victualling,Southampton,False
860
+ 40-49,3rd Class,Queenstown,False
861
+ 30-39,Victualling,Southampton,False
862
+ 10-19,3rd Class,Southampton,False
863
+ 10-19,A la Carte,Southampton,False
864
+ 40-49,3rd Class,Southampton,True
865
+ 20-29,3rd Class,Cherbourg,False
866
+ 40-49,A la Carte,Southampton,False
867
+ 20-29,A la Carte,Southampton,False
868
+ 20-29,2nd Class,Southampton,True
869
+ 30-39,Victualling,Southampton,False
870
+ 30-39,Victualling,Southampton,False
871
+ 40-49,1st Class,Southampton,True
872
+ 20-29,2nd Class,Southampton,False
873
+ 30-39,Deck,Southampton,True
874
+ 30-39,2nd Class,Southampton,True
875
+ 30-39,Deck,Southampton,True
876
+ 10-19,3rd Class,Cherbourg,True
877
+ 40-49,Victualling,Southampton,False
878
+ 30-39,Victualling,Southampton,False
879
+ 30-39,Victualling,Southampton,False
880
+ 30-39,1st Class,Cherbourg,True
881
+ 60-69,3rd Class,Southampton,False
882
+ 10-19,3rd Class,Queenstown,False
883
+ 30-39,2nd Class,Cherbourg,False
884
+ 20-29,Engine,Southampton,False
885
+ 20-29,Engine,Southampton,False
886
+ 30-39,Victualling,Belfast,True
887
+ 10-19,1st Class,Southampton,False
888
+ 40-49,Victualling,Southampton,True
889
+ 30-39,3rd Class,Southampton,False
890
+ 20-29,Engine,Belfast,False
891
+ 20-29,3rd Class,Cherbourg,True
892
+ 30-39,Victualling,Southampton,False
893
+ 20-29,1st Class,Cherbourg,True
894
+ 30-39,3rd Class,Queenstown,False
895
+ 30-39,2nd Class,Southampton,True
896
+ 30-39,Deck,Southampton,False
897
+ 40-49,Deck,Belfast,False
898
+ 20-29,Engine,Southampton,False
899
+ 30-39,3rd Class,Cherbourg,False
900
+ 20-29,Engine,Southampton,False
901
+ 10-19,3rd Class,Cherbourg,False
902
+ 40-49,2nd Class,Southampton,False
903
+ 20-29,Engine,Southampton,False
904
+ 20-29,A la Carte,Southampton,False
905
+ 20-29,Engine,Southampton,False
906
+ 10-19,Victualling,Southampton,False
907
+ 20-29,3rd Class,Southampton,False
908
+ 10-19,3rd Class,Southampton,False
909
+ 20-29,1st Class,Cherbourg,False
910
+ 40-49,1st Class,Southampton,True
911
+ 20-29,Victualling,Belfast,False
912
+ 40-49,Engine,Southampton,False
913
+ 60-69,3rd Class,Queenstown,False
914
+ 20-29,3rd Class,Cherbourg,False
915
+ 30-39,2nd Class,Southampton,False
916
+ 20-29,2nd Class,Southampton,False
917
+ 20-29,Engine,Southampton,False
918
+ 20-29,3rd Class,Southampton,False
919
+ 20-29,Victualling,Southampton,False
920
+ 20-29,3rd Class,Southampton,False
921
+ 20-29,Engine,Southampton,False
922
+ 10-19,3rd Class,Queenstown,False
923
+ 30-39,1st Class,Cherbourg,False
924
+ 20-29,1st Class,Cherbourg,True
925
+ 20-29,2nd Class,Southampton,False
926
+ 30-39,3rd Class,Southampton,False
927
+ 20-29,3rd Class,Southampton,False
928
+ 30-39,Victualling,Southampton,True
929
+ 40-49,1st Class,Southampton,False
930
+ 30-39,1st Class,Cherbourg,False
931
+ 30-39,Victualling,Southampton,False
932
+ 20-29,Victualling,Southampton,False
933
+ 40-49,3rd Class,Cherbourg,False
934
+ 20-29,Victualling,Southampton,False
935
+ 0-9,3rd Class,Southampton,False
936
+ 20-29,3rd Class,Cherbourg,True
937
+ 30-39,1st Class,Southampton,True
938
+ 20-29,2nd Class,Southampton,False
939
+ 30-39,Engine,Southampton,False
940
+ 20-29,Victualling,Southampton,False
941
+ 30-39,2nd Class,Cherbourg,False
942
+ 30-39,2nd Class,Cherbourg,False
943
+ 40-49,Engine,Southampton,False
944
+ 20-29,Engine,Southampton,False
945
+ 30-39,Victualling,Southampton,False
946
+ 30-39,Victualling,Southampton,False
947
+ 0-9,2nd Class,Southampton,True
948
+ 20-29,3rd Class,Queenstown,False
949
+ 10-19,3rd Class,Southampton,False
950
+ 20-29,A la Carte,Southampton,False
951
+ 20-29,2nd Class,Southampton,True
952
+ 20-29,Victualling,Southampton,False
953
+ 50-59,1st Class,Southampton,False
954
+ 30-39,Victualling,Southampton,False
955
+ 40-49,1st Class,Southampton,False
956
+ 20-29,A la Carte,Southampton,False
957
+ 40-49,1st Class,Southampton,False
958
+ 20-29,3rd Class,Southampton,False
959
+ 20-29,Victualling,Belfast,True
960
+ 40-49,3rd Class,Southampton,False
961
+ 20-29,3rd Class,Southampton,False
962
+ 20-29,3rd Class,Southampton,False
963
+ 30-39,Victualling,Belfast,False
964
+ 20-29,Engine,Southampton,False
965
+ 0-9,3rd Class,Southampton,True
966
+ 30-39,2nd Class,Southampton,False
967
+ 20-29,3rd Class,Queenstown,False
968
+ 20-29,3rd Class,Southampton,False
969
+ ,1st Class,Southampton,False
970
+ 40-49,1st Class,Cherbourg,True
971
+ 20-29,3rd Class,Southampton,False
972
+ 20-29,1st Class,Southampton,True
973
+ 30-39,Victualling,Southampton,False
974
+ 10-19,3rd Class,Cherbourg,True
975
+ 30-39,Engine,Belfast,True
976
+ 20-29,2nd Class,Southampton,False
977
+ 20-29,1st Class,Cherbourg,True
978
+ 20-29,Engine,Southampton,False
979
+ 20-29,3rd Class,Cherbourg,True
980
+ 30-39,3rd Class,Southampton,False
981
+ 20-29,3rd Class,Southampton,False
982
+ 20-29,1st Class,Southampton,True
983
+ 10-19,2nd Class,Southampton,False
984
+ 30-39,2nd Class,Southampton,False
985
+ 40-49,Victualling,Southampton,False
986
+ 30-39,Engine,Southampton,False
987
+ 20-29,2nd Class,Southampton,True
988
+ 20-29,Victualling,Southampton,False
989
+ 20-29,Engine,Southampton,False
990
+ 20-29,1st Class,Cherbourg,True
991
+ 30-39,2nd Class,Southampton,True
992
+ 20-29,A la Carte,Southampton,False
993
+ 40-49,Deck,Southampton,False
994
+ 40-49,1st Class,Southampton,False
995
+ 10-19,2nd Class,Southampton,True
996
+ 30-39,Victualling,Southampton,False
997
+ 30-39,Victualling,Southampton,False
998
+ 20-29,3rd Class,Southampton,False
999
+ 20-29,Victualling,Southampton,False
1000
+ 20-29,1st Class,Cherbourg,True
1001
+ 30-39,Deck,Southampton,True
1002
+ 30-39,Deck,Southampton,True
1003
+ 50-59,1st Class,Cherbourg,True
1004
+ 30-39,2nd Class,Cherbourg,False
1005
+ 20-29,3rd Class,Southampton,False
1006
+ 20-29,3rd Class,Southampton,False
1007
+ 20-29,2nd Class,Southampton,False
1008
+ 50-59,1st Class,Southampton,True
1009
+ 30-39,Victualling,Southampton,False
1010
+ 10-19,2nd Class,Belfast,False
1011
+ 30-39,Victualling,Southampton,False
1012
+ 10-19,3rd Class,Queenstown,True
1013
+ 20-29,Engine,Southampton,False
1014
+ 30-39,A la Carte,Southampton,False
1015
+ 20-29,Engine,Southampton,False
1016
+ 20-29,3rd Class,Cherbourg,True
1017
+ 10-19,1st Class,Southampton,True
1018
+ 30-39,1st Class,Southampton,True
1019
+ 60-69,3rd Class,Southampton,True
1020
+ 30-39,Victualling,Belfast,False
1021
+ 20-29,3rd Class,Southampton,False
1022
+ 10-19,3rd Class,Southampton,False
1023
+ 30-39,2nd Class,Southampton,True
1024
+ 20-29,2nd Class,Southampton,False
1025
+ 20-29,Engine,Belfast,False
1026
+ 10-19,Victualling,Southampton,False
1027
+ 50-59,1st Class,Cherbourg,False
1028
+ 10-19,3rd Class,Southampton,False
1029
+ 30-39,3rd Class,Southampton,False
1030
+ 50-59,1st Class,Southampton,True
1031
+ 30-39,Deck,Southampton,True
1032
+ 20-29,Victualling,Southampton,True
1033
+ 30-39,3rd Class,Cherbourg,False
1034
+ 30-39,2nd Class,Southampton,False
1035
+ 0-9,3rd Class,Southampton,False
1036
+ ,1st Class,Southampton,False
1037
+ 40-49,1st Class,Cherbourg,True
1038
+ 30-39,Engine,Belfast,False
1039
+ 10-19,Victualling,Southampton,False
1040
+ 30-39,Engine,Southampton,False
1041
+ 40-49,Victualling,Belfast,False
1042
+ 40-49,2nd Class,Southampton,False
1043
+ 40-49,1st Class,Cherbourg,True
1044
+ 40-49,2nd Class,Southampton,True
1045
+ 30-39,2nd Class,Southampton,False
1046
+ 40-49,Victualling,Southampton,False
1047
+ 10-19,A la Carte,Southampton,False
1048
+ 30-39,2nd Class,Southampton,True
1049
+ 20-29,Victualling,Southampton,False
1050
+ 20-29,2nd Class,Southampton,True
1051
+ 20-29,Engine,Southampton,False
1052
+ 20-29,A la Carte,Southampton,False
1053
+ 30-39,A la Carte,Southampton,False
1054
+ 20-29,Victualling,Belfast,False
1055
+ 30-39,1st Class,Southampton,True
1056
+ 20-29,3rd Class,Cherbourg,False
1057
+ 30-39,Victualling,Southampton,False
1058
+ 0-9,2nd Class,Southampton,True
1059
+ 20-29,2nd Class,Southampton,False
1060
+ 20-29,3rd Class,Southampton,True
1061
+ 30-39,Engine,Belfast,False
1062
+ 20-29,2nd Class,Southampton,False
1063
+ 20-29,3rd Class,Southampton,False
1064
+ 10-19,Victualling,Southampton,False
1065
+ 40-49,1st Class,Southampton,False
1066
+ 30-39,Engine,Southampton,False
1067
+ 40-49,1st Class,Cherbourg,True
1068
+ 30-39,Engine,Southampton,False
1069
+ 40-49,Victualling,Southampton,False
1070
+ 10-19,A la Carte,Southampton,False
1071
+ 20-29,1st Class,Southampton,True
1072
+ 20-29,Engine,Southampton,False
1073
+ 20-29,3rd Class,Southampton,True
1074
+ 10-19,3rd Class,Southampton,False
1075
+ ,1st Class,Southampton,False
1076
+ 40-49,1st Class,Southampton,False
1077
+ 50-59,1st Class,Southampton,False
1078
+ 30-39,1st Class,Southampton,True
1079
+ 20-29,3rd Class,Southampton,False
1080
+ 20-29,Engine,Southampton,False
1081
+ 40-49,1st Class,Southampton,True
1082
+ 30-39,1st Class,Cherbourg,False
1083
+ 20-29,3rd Class,Southampton,False
1084
+ 30-39,2nd Class,Southampton,False
1085
+ 20-29,3rd Class,Southampton,False
1086
+ 20-29,Victualling,Southampton,False
1087
+ 30-39,1st Class,Southampton,True
1088
+ 10-19,3rd Class,Southampton,False
1089
+ 30-39,Victualling,Belfast,False
1090
+ 30-39,1st Class,Southampton,True
1091
+ 20-29,3rd Class,Southampton,False
1092
+ 20-29,3rd Class,Cherbourg,True
1093
+ 30-39,3rd Class,Southampton,False
1094
+ 10-19,Victualling,Southampton,False
1095
+ 20-29,Victualling,Southampton,False
1096
+ 30-39,2nd Class,Southampton,True
1097
+ 10-19,2nd Class,Southampton,False
1098
+ 10-19,2nd Class,Southampton,False
1099
+ 50-59,1st Class,Cherbourg,True
1100
+ 20-29,Victualling,Southampton,False
1101
+ ,1st Class,Southampton,False
1102
+ 20-29,3rd Class,Queenstown,False
1103
+ 30-39,Victualling,Belfast,True
1104
+ 0-9,2nd Class,Southampton,True
1105
+ 30-39,Victualling,Southampton,False
1106
+ 50-59,2nd Class,Southampton,True
1107
+ 0-9,3rd Class,Southampton,False
1108
+ 20-29,Engine,Belfast,False
1109
+ 20-29,Engine,Southampton,True
1110
+ 20-29,Deck,Belfast,False
1111
+ 20-29,Engine,Southampton,True
1112
+ 0-9,2nd Class,Southampton,True
1113
+ 30-39,Victualling,Southampton,False
1114
+ 40-49,2nd Class,Southampton,False
1115
+ 20-29,Victualling,Southampton,False
1116
+ 20-29,Victualling,Southampton,False
1117
+ 30-39,Deck,Southampton,False
1118
+ 10-19,3rd Class,Southampton,True
1119
+ 20-29,Deck,Belfast,False
1120
+ 30-39,3rd Class,Southampton,True
1121
+ 30-39,A la Carte,Southampton,False
1122
+ 20-29,2nd Class,Southampton,False
1123
+ 20-29,3rd Class,Southampton,True
1124
+ 20-29,3rd Class,Southampton,False
1125
+ 20-29,2nd Class,Southampton,False
1126
+ 0-9,3rd Class,Queenstown,False
1127
+ 30-39,Engine,Southampton,False
1128
+ 30-39,3rd Class,Southampton,True
1129
+ 10-19,3rd Class,Southampton,True
1130
+ 20-29,Engine,Southampton,False
1131
+ 20-29,Engine,Southampton,False
1132
+ 60-69,Deck,Belfast,False
1133
+ 50-59,1st Class,Cherbourg,False
1134
+ 10-19,3rd Class,Cherbourg,False
1135
+ 20-29,3rd Class,Queenstown,False
1136
+ 60-69,1st Class,Cherbourg,False
1137
+ 30-39,Victualling,Southampton,False
1138
+ 30-39,Engine,Southampton,False
1139
+ 0-9,3rd Class,Southampton,True
1140
+ 20-29,3rd Class,Southampton,False
1141
+ 20-29,3rd Class,Cherbourg,True
1142
+ 20-29,Victualling,Southampton,False
1143
+ 10-19,3rd Class,Southampton,True
1144
+ 30-39,1st Class,Cherbourg,True
1145
+ 0-9,3rd Class,Southampton,False
1146
+ 30-39,2nd Class,Cherbourg,True
1147
+ 50-59,1st Class,Southampton,False
1148
+ 20-29,2nd Class,Southampton,False
1149
+ 30-39,Engine,Southampton,False
1150
+ 0-9,3rd Class,Southampton,True
1151
+ 30-39,1st Class,Cherbourg,True
1152
+ 40-49,Engine,Southampton,False
1153
+ 20-29,3rd Class,Queenstown,False
1154
+ 20-29,3rd Class,Queenstown,False
1155
+ 20-29,1st Class,Cherbourg,True
1156
+ 20-29,3rd Class,Queenstown,False
1157
+ 20-29,3rd Class,Southampton,False
1158
+ 30-39,1st Class,Southampton,False
1159
+ 20-29,3rd Class,Southampton,False
1160
+ 0-9,3rd Class,Southampton,False
1161
+ 50-59,Victualling,Belfast,False
1162
+ 30-39,2nd Class,Southampton,False
1163
+ 30-39,Victualling,Belfast,False
1164
+ 20-29,Victualling,Southampton,False
1165
+ 30-39,Engine,Southampton,False
1166
+ 20-29,A la Carte,Southampton,False
1167
+ 20-29,1st Class,Cherbourg,True
1168
+ 20-29,3rd Class,Queenstown,True
1169
+ 20-29,3rd Class,Queenstown,False
1170
+ 20-29,3rd Class,Southampton,False
1171
+ 10-19,Victualling,Southampton,False
1172
+ 10-19,3rd Class,Southampton,False
1173
+ 0-9,3rd Class,Southampton,False
1174
+ 50-59,3rd Class,Southampton,False
1175
+ 30-39,Victualling,Southampton,False
1176
+ 0-9,2nd Class,Southampton,True
1177
+ 10-19,A la Carte,Southampton,False
1178
+ 40-49,Engine,Southampton,False
1179
+ 20-29,1st Class,Southampton,True
1180
+ 30-39,Engine,Southampton,False
1181
+ 20-29,Engine,Southampton,False
1182
+ 30-39,Victualling,Belfast,True
1183
+ 40-49,2nd Class,Southampton,True
1184
+ 0-9,3rd Class,Southampton,False
1185
+ 60-69,3rd Class,Southampton,False
1186
+ 30-39,3rd Class,Southampton,False
1187
+ 10-19,3rd Class,Southampton,False
1188
+ 10-19,2nd Class,Southampton,True
1189
+ 20-29,A la Carte,Southampton,False
1190
+ 30-39,Victualling,Southampton,False
1191
+ 40-49,1st Class,Southampton,False
1192
+ 0-9,2nd Class,Southampton,True
1193
+ 30-39,Engine,Southampton,False
1194
+ 30-39,1st Class,Southampton,False
1195
+ 20-29,Engine,Southampton,False
1196
+ 30-39,Victualling,Belfast,False
1197
+ 20-29,3rd Class,Queenstown,False
1198
+ 30-39,Engine,Belfast,False
1199
+ 20-29,Victualling,Belfast,False
1200
+ 30-39,Victualling,Southampton,False
1201
+ 20-29,Engine,Southampton,True
1202
+ 30-39,Victualling,Belfast,False
1203
+ 30-39,A la Carte,Southampton,False
1204
+ 30-39,Engine,Belfast,False
1205
+ 0-9,3rd Class,Southampton,True
1206
+ 20-29,2nd Class,Southampton,False
1207
+ 40-49,Engine,Southampton,False
1208
+ 30-39,Engine,Southampton,False
1209
+ 30-39,Engine,Belfast,False
1210
+ 40-49,3rd Class,Cherbourg,False
1211
+ 30-39,Victualling,Belfast,True
1212
+ 10-19,Engine,Southampton,True
1213
+ 20-29,Engine,Southampton,False
1214
+ ,2nd Class,Southampton,False
1215
+ 20-29,Engine,Southampton,True
1216
+ 30-39,Victualling,Belfast,False
1217
+ 10-19,3rd Class,Southampton,False
1218
+ 20-29,Victualling,Southampton,False
1219
+ 10-19,1st Class,Southampton,True
1220
+ 30-39,2nd Class,Southampton,False
1221
+ 30-39,1st Class,Southampton,False
1222
+ 20-29,Engine,Southampton,True
1223
+ ,1st Class,Southampton,False
1224
+ 30-39,1st Class,Cherbourg,True
1225
+ 30-39,1st Class,Cherbourg,True
1226
+ 30-39,Victualling,Southampton,False
1227
+ 10-19,1st Class,Cherbourg,True
1228
+ 20-29,2nd Class,Cherbourg,False
1229
+ 20-29,3rd Class,Southampton,False
1230
+ 10-19,3rd Class,Southampton,False
1231
+ 20-29,Victualling,Southampton,False
1232
+ 30-39,3rd Class,Southampton,False
1233
+ 30-39,1st Class,Belfast,False
1234
+ 20-29,2nd Class,Southampton,False
1235
+ 30-39,Victualling,Southampton,False
1236
+ 50-59,1st Class,Southampton,True
1237
+ 10-19,Victualling,Belfast,False
1238
+ 40-49,1st Class,Southampton,True
1239
+ 30-39,3rd Class,Southampton,False
1240
+ 50-59,3rd Class,Southampton,False
1241
+ 20-29,3rd Class,Southampton,False
1242
+ 20-29,Engine,Southampton,False
1243
+ 10-19,3rd Class,Southampton,True
1244
+ 20-29,Engine,Belfast,False
1245
+ 30-39,Victualling,Belfast,False
1246
+ 20-29,Victualling,Southampton,False
1247
+ 20-29,3rd Class,Southampton,True
1248
+ 10-19,3rd Class,Queenstown,False
1249
+ 40-49,Victualling,Southampton,False
1250
+ 40-49,Engine,Southampton,False
1251
+ 30-39,1st Class,Southampton,True
1252
+ 20-29,3rd Class,Queenstown,False
1253
+ 20-29,A la Carte,Southampton,False
1254
+ 30-39,2nd Class,Southampton,False
1255
+ 40-49,1st Class,Cherbourg,False
1256
+ 20-29,1st Class,Cherbourg,True
1257
+ 30-39,1st Class,Southampton,False
1258
+ 20-29,2nd Class,Southampton,False
1259
+ 20-29,Victualling,Southampton,False
1260
+ 30-39,Victualling,Southampton,False
1261
+ 10-19,3rd Class,Southampton,False
1262
+ 20-29,1st Class,Southampton,True
1263
+ 30-39,Victualling,Southampton,False
1264
+ 40-49,3rd Class,Southampton,False
1265
+ 30-39,Victualling,Belfast,False
1266
+ 20-29,Engine,Southampton,False
1267
+ 30-39,Deck,Southampton,False
1268
+ 10-19,2nd Class,Southampton,True
1269
+ 30-39,Victualling,Southampton,False
1270
+ 50-59,1st Class,Cherbourg,False
1271
+ 20-29,3rd Class,Southampton,True
1272
+ 20-29,2nd Class,Southampton,False
1273
+ 10-19,3rd Class,Cherbourg,False
1274
+ 20-29,Engine,Southampton,False
1275
+ 50-59,1st Class,Cherbourg,True
1276
+ 30-39,3rd Class,Southampton,False
1277
+ 20-29,Engine,Southampton,False
1278
+ 20-29,2nd Class,Southampton,False
1279
+ ,1st Class,Southampton,False
1280
+ 20-29,3rd Class,Southampton,False
1281
+ 40-49,1st Class,Southampton,True
1282
+ ,2nd Class,Southampton,False
1283
+ 30-39,Victualling,Southampton,False
1284
+ 30-39,Victualling,Southampton,False
1285
+ 20-29,3rd Class,Southampton,False
1286
+ 20-29,2nd Class,Southampton,True
1287
+ 10-19,A la Carte,Southampton,False
1288
+ 20-29,3rd Class,Cherbourg,False
1289
+ 30-39,3rd Class,Queenstown,False
1290
+ 20-29,3rd Class,Queenstown,False
1291
+ 60-69,1st Class,Southampton,True
1292
+ 30-39,Victualling,Southampton,False
1293
+ 40-49,3rd Class,Southampton,False
1294
+ 30-39,1st Class,Cherbourg,True
1295
+ 30-39,3rd Class,Southampton,True
1296
+ 20-29,3rd Class,Queenstown,True
1297
+ ,1st Class,Southampton,False
1298
+ 20-29,A la Carte,Southampton,False
1299
+ 20-29,Victualling,Southampton,False
1300
+ 20-29,Victualling,Belfast,False
1301
+ 30-39,Engine,Southampton,False
1302
+ 40-49,Engine,Southampton,False
1303
+ 20-29,Engine,Southampton,False
1304
+ 20-29,Victualling,Belfast,False
1305
+ 30-39,3rd Class,Southampton,True
1306
+ 20-29,Engine,Southampton,False
1307
+ 20-29,Deck,Southampton,False
1308
+ 20-29,Engine,Belfast,False
1309
+ 10-19,3rd Class,Queenstown,True
1310
+ 30-39,Victualling,Southampton,False
1311
+ 10-19,3rd Class,Southampton,True
1312
+ 30-39,2nd Class,Southampton,False
1313
+ 20-29,Victualling,Southampton,False
1314
+ 40-49,1st Class,Cherbourg,True
1315
+ 30-39,Victualling,Southampton,False
1316
+ 30-39,Deck,Belfast,True
1317
+ 20-29,1st Class,Cherbourg,False
1318
+ 30-39,Victualling,Belfast,False
1319
+ 20-29,2nd Class,Cherbourg,False
1320
+ 40-49,Victualling,Southampton,False
1321
+ 30-39,1st Class,Southampton,True
1322
+ 30-39,3rd Class,Southampton,False
1323
+ 30-39,2nd Class,Southampton,False
1324
+ 20-29,3rd Class,Southampton,False
1325
+ 20-29,Engine,Southampton,True
1326
+ 40-49,Victualling,Southampton,False
1327
+ 50-59,1st Class,Southampton,True
1328
+ 30-39,Engine,Southampton,True
1329
+ 0-9,3rd Class,Southampton,False
1330
+ 0-9,3rd Class,Queenstown,False
1331
+ 40-49,1st Class,Cherbourg,False
1332
+ 60-69,1st Class,Cherbourg,True
1333
+ 10-19,3rd Class,Cherbourg,True
1334
+ 40-49,Victualling,Southampton,False
1335
+ 0-9,3rd Class,Southampton,False
1336
+ 30-39,2nd Class,Belfast,False
1337
+ 20-29,3rd Class,Queenstown,False
1338
+ 30-39,Victualling,Southampton,False
1339
+ 20-29,3rd Class,Southampton,False
1340
+ 0-9,3rd Class,Cherbourg,True
1341
+ 10-19,3rd Class,Southampton,False
1342
+ 30-39,Victualling,Belfast,False
1343
+ 50-59,1st Class,Cherbourg,True
1344
+ 50-59,1st Class,Cherbourg,True
1345
+ 50-59,Engine,Southampton,False
1346
+ 10-19,Victualling,Southampton,False
1347
+ 30-39,1st Class,Cherbourg,True
1348
+ 30-39,Deck,Southampton,True
1349
+ 20-29,3rd Class,Queenstown,True
1350
+ 10-19,2nd Class,Southampton,True
1351
+ 30-39,2nd Class,Southampton,False
1352
+ 20-29,3rd Class,Southampton,False
1353
+ 40-49,2nd Class,Southampton,False
1354
+ 0-9,2nd Class,Southampton,True
1355
+ 40-49,3rd Class,Southampton,True
1356
+ 10-19,Victualling,Southampton,False
1357
+ 10-19,2nd Class,Southampton,True
1358
+ 20-29,Victualling,Southampton,False
1359
+ 50-59,Victualling,Southampton,False
1360
+ 30-39,3rd Class,Cherbourg,True
1361
+ 20-29,Victualling,Southampton,False
1362
+ 20-29,3rd Class,Southampton,False
1363
+ 20-29,3rd Class,Southampton,False
1364
+ 10-19,3rd Class,Southampton,True
1365
+ 20-29,2nd Class,Southampton,True
1366
+ 0-9,3rd Class,Cherbourg,True
1367
+ 40-49,Engine,Southampton,False
1368
+ 20-29,3rd Class,Southampton,False
1369
+ ,1st Class,Southampton,False
1370
+ 50-59,2nd Class,Southampton,False
1371
+ 30-39,1st Class,Southampton,True
1372
+ 30-39,Engine,Southampton,False
1373
+ 30-39,2nd Class,Belfast,False
1374
+ 0-9,1st Class,Southampton,False
1375
+ 20-29,Victualling,Southampton,False
1376
+ 40-49,1st Class,Southampton,False
1377
+ 20-29,3rd Class,Southampton,True
1378
+ 30-39,Victualling,Southampton,False
1379
+ 40-49,1st Class,Cherbourg,True
1380
+ 20-29,3rd Class,Southampton,False
1381
+ 20-29,Engine,Southampton,False
1382
+ 50-59,1st Class,Southampton,False
1383
+ 20-29,3rd Class,Southampton,False
1384
+ 30-39,Victualling,Belfast,False
1385
+ 20-29,A la Carte,Southampton,False
1386
+ 0-9,3rd Class,Cherbourg,True
1387
+ 60-69,1st Class,Southampton,False
1388
+ 20-29,Victualling,Southampton,False
1389
+ 20-29,3rd Class,Southampton,False
1390
+ 20-29,Engine,Southampton,False
1391
+ 40-49,A la Carte,Southampton,False
1392
+ 30-39,3rd Class,Cherbourg,False
1393
+ 30-39,1st Class,Southampton,False
1394
+ 20-29,Victualling,Southampton,False
1395
+ 30-39,Engine,Southampton,False
1396
+ 50-59,1st Class,Cherbourg,False
1397
+ 30-39,Victualling,Southampton,False
1398
+ 40-49,Victualling,Belfast,False
1399
+ 30-39,Victualling,Belfast,False
1400
+ 40-49,Deck,Belfast,True
1401
+ 0-9,3rd Class,Southampton,True
1402
+ 30-39,3rd Class,Southampton,False
1403
+ 20-29,3rd Class,Southampton,False
1404
+ 30-39,3rd Class,Southampton,False
1405
+ 30-39,1st Class,Cherbourg,True
1406
+ ,1st Class,Southampton,False
1407
+ 20-29,3rd Class,Queenstown,True
1408
+ 20-29,Engine,Southampton,False
1409
+ 20-29,Deck,Belfast,True
1410
+ 50-59,2nd Class,Southampton,False
1411
+ 50-59,1st Class,Southampton,False
1412
+ ,2nd Class,Southampton,False
1413
+ 30-39,1st Class,Cherbourg,True
1414
+ 20-29,Victualling,Belfast,False
1415
+ 40-49,Victualling,Southampton,False
1416
+ 20-29,3rd Class,Cherbourg,False
1417
+ 10-19,3rd Class,Southampton,False
1418
+ 30-39,3rd Class,Southampton,True
1419
+ 40-49,1st Class,Southampton,False
1420
+ 40-49,1st Class,Cherbourg,False
1421
+ 20-29,1st Class,Southampton,True
1422
+ 30-39,Engine,Southampton,False
1423
+ 50-59,2nd Class,Southampton,False
1424
+ 30-39,1st Class,Cherbourg,True
1425
+ 20-29,Victualling,Southampton,False
1426
+ 40-49,3rd Class,Southampton,False
1427
+ 20-29,3rd Class,Queenstown,True
1428
+ 0-9,3rd Class,Southampton,True
1429
+ 30-39,Deck,Southampton,False
1430
+ 20-29,1st Class,Cherbourg,True
1431
+ 30-39,Engine,Belfast,False
1432
+ 20-29,A la Carte,Southampton,False
1433
+ 20-29,Engine,Southampton,False
1434
+ 30-39,1st Class,Cherbourg,False
1435
+ 40-49,Victualling,Belfast,False
1436
+ 30-39,3rd Class,Southampton,False
1437
+ 30-39,Deck,Belfast,False
1438
+ 20-29,Victualling,Belfast,False
1439
+ 50-59,1st Class,Southampton,True
1440
+ 10-19,3rd Class,Southampton,False
1441
+ 30-39,2nd Class,Southampton,False
1442
+ 20-29,3rd Class,Southampton,True
1443
+ 40-49,Deck,Southampton,True
1444
+ 20-29,3rd Class,Cherbourg,False
1445
+ 20-29,3rd Class,Southampton,False
1446
+ 20-29,Victualling,Southampton,False
1447
+ 20-29,1st Class,Cherbourg,False
1448
+ 30-39,Engine,Southampton,False
1449
+ 50-59,Engine,Southampton,False
1450
+ 50-59,2nd Class,Southampton,False
1451
+ 20-29,Deck,Southampton,True
1452
+ 40-49,1st Class,Cherbourg,True
1453
+ 20-29,3rd Class,Southampton,False
1454
+ 70-79,3rd Class,Southampton,False
1455
+ 30-39,Engine,Belfast,False
1456
+ 40-49,2nd Class,Southampton,True
1457
+ 30-39,3rd Class,Southampton,True
1458
+ 50-59,Victualling,Southampton,False
1459
+ 20-29,Deck,Southampton,True
1460
+ 20-29,3rd Class,Southampton,False
1461
+ 10-19,Victualling,Southampton,False
1462
+ 20-29,Engine,Southampton,True
1463
+ 30-39,2nd Class,Southampton,False
1464
+ 20-29,Engine,Southampton,False
1465
+ 20-29,3rd Class,Southampton,False
1466
+ 40-49,1st Class,Southampton,False
1467
+ 10-19,3rd Class,Southampton,False
1468
+ 20-29,3rd Class,Queenstown,False
1469
+ 30-39,2nd Class,Southampton,False
1470
+ 40-49,1st Class,Southampton,False
1471
+ 20-29,2nd Class,Southampton,False
1472
+ 40-49,3rd Class,Southampton,False
1473
+ 50-59,1st Class,Cherbourg,True
1474
+ 20-29,2nd Class,Southampton,True
1475
+ 30-39,2nd Class,Southampton,True
1476
+ 30-39,Engine,Southampton,False
1477
+ 30-39,Victualling,Southampton,False
1478
+ 30-39,Victualling,Belfast,False
1479
+ 30-39,Engine,Belfast,False
1480
+ 20-29,1st Class,Cherbourg,False
1481
+ 20-29,Victualling,Southampton,False
1482
+ 30-39,2nd Class,Southampton,True
1483
+ 20-29,3rd Class,Southampton,False
1484
+ 30-39,Victualling,Southampton,False
1485
+ 10-19,2nd Class,Southampton,True
1486
+ 20-29,1st Class,Southampton,False
1487
+ 20-29,3rd Class,Southampton,False
1488
+ 20-29,1st Class,Cherbourg,True
1489
+ 30-39,3rd Class,Southampton,False
1490
+ 20-29,3rd Class,Cherbourg,False
1491
+ 10-19,3rd Class,Southampton,False
1492
+ 0-9,1st Class,Cherbourg,True
1493
+ 20-29,3rd Class,Southampton,False
1494
+ 20-29,3rd Class,Southampton,False
1495
+ 20-29,3rd Class,Southampton,False
1496
+ 30-39,Engine,Southampton,False
1497
+ 20-29,Engine,Belfast,False
1498
+ 10-19,Victualling,Southampton,False
1499
+ 40-49,Victualling,Belfast,False
1500
+ 40-49,3rd Class,Southampton,False
1501
+ 30-39,Victualling,Belfast,False
1502
+ 20-29,Victualling,Southampton,False
1503
+ 30-39,2nd Class,Southampton,False
1504
+ 30-39,2nd Class,Southampton,False
1505
+ 20-29,Victualling,Southampton,False
1506
+ 50-59,1st Class,Southampton,True
1507
+ 40-49,1st Class,Southampton,False
1508
+ 30-39,1st Class,Southampton,True
1509
+ 10-19,2nd Class,Southampton,False
1510
+ 30-39,Victualling,Belfast,False
1511
+ 30-39,1st Class,Southampton,True
1512
+ 20-29,3rd Class,Queenstown,True
1513
+ 20-29,Victualling,Belfast,False
1514
+ 20-29,Victualling,Belfast,False
1515
+ 30-39,Engine,Southampton,False
1516
+ 20-29,2nd Class,Southampton,True
1517
+ 20-29,Deck,Belfast,False
1518
+ 20-29,Engine,Southampton,False
1519
+ 60-69,3rd Class,Southampton,False
1520
+ 20-29,Victualling,Southampton,False
1521
+ 30-39,Engine,Southampton,True
1522
+ 40-49,3rd Class,Southampton,True
1523
+ 20-29,Engine,Southampton,False
1524
+ 20-29,3rd Class,Queenstown,False
1525
+ 30-39,A la Carte,Southampton,False
1526
+ 30-39,Engine,Southampton,False
1527
+ 20-29,Engine,Southampton,False
1528
+ 40-49,1st Class,Cherbourg,True
1529
+ 30-39,Victualling,Southampton,False
1530
+ 30-39,1st Class,Cherbourg,True
1531
+ 20-29,3rd Class,Southampton,False
1532
+ 30-39,2nd Class,Southampton,False
1533
+ 20-29,A la Carte,Southampton,False
1534
+ 10-19,3rd Class,Cherbourg,True
1535
+ 20-29,Engine,Southampton,False
1536
+ 20-29,3rd Class,Cherbourg,False
1537
+ 40-49,3rd Class,Southampton,False
1538
+ 30-39,Victualling,Southampton,False
1539
+ 20-29,Victualling,Southampton,False
1540
+ 20-29,Victualling,Southampton,False
1541
+ 30-39,1st Class,Southampton,False
1542
+ 10-19,Victualling,Southampton,True
1543
+ 20-29,Engine,Southampton,False
1544
+ 20-29,Victualling,Southampton,False
1545
+ 30-39,Engine,Southampton,False
1546
+ 40-49,Engine,Southampton,False
1547
+ 20-29,3rd Class,Southampton,False
1548
+ 20-29,2nd Class,Belfast,False
1549
+ 30-39,Victualling,Southampton,False
1550
+ 40-49,1st Class,Cherbourg,True
1551
+ 30-39,Victualling,Belfast,True
1552
+ 20-29,Engine,Southampton,True
1553
+ 30-39,Victualling,Belfast,False
1554
+ 30-39,3rd Class,Southampton,False
1555
+ 40-49,2nd Class,Southampton,False
1556
+ 30-39,Victualling,Southampton,False
1557
+ 0-9,3rd Class,Southampton,False
1558
+ 20-29,Victualling,Southampton,False
1559
+ 20-29,3rd Class,Southampton,False
1560
+ ,2nd Class,Southampton,False
1561
+ 30-39,Engine,Southampton,False
1562
+ 20-29,3rd Class,Southampton,False
1563
+ 0-9,3rd Class,Southampton,True
1564
+ 20-29,Engine,Southampton,False
1565
+ 30-39,Victualling,Southampton,False
1566
+ 20-29,Engine,Southampton,False
1567
+ 20-29,Victualling,Belfast,False
1568
+ 50-59,1st Class,Southampton,False
1569
+ 10-19,3rd Class,Southampton,False
1570
+ 30-39,Victualling,Southampton,False
1571
+ 30-39,Victualling,Belfast,False
1572
+ 20-29,3rd Class,Queenstown,True
1573
+ 10-19,3rd Class,Cherbourg,False
1574
+ 20-29,3rd Class,Southampton,True
1575
+ 20-29,3rd Class,Southampton,False
1576
+ 30-39,3rd Class,Southampton,False
1577
+ 20-29,3rd Class,Cherbourg,False
1578
+ 20-29,Engine,Southampton,False
1579
+ 10-19,3rd Class,Cherbourg,False
1580
+ 20-29,Engine,Southampton,False
1581
+ 30-39,Engine,Southampton,False
1582
+ 20-29,A la Carte,Southampton,False
1583
+ 10-19,2nd Class,Southampton,False
1584
+ 30-39,Victualling,Belfast,False
1585
+ 20-29,2nd Class,Southampton,False
1586
+ 60-69,Deck,Southampton,False
1587
+ 30-39,Victualling,Belfast,False
1588
+ 10-19,A la Carte,Southampton,False
1589
+ 20-29,3rd Class,Southampton,False
1590
+ 50-59,1st Class,Cherbourg,False
1591
+ 20-29,1st Class,Southampton,False
1592
+ 40-49,1st Class,Cherbourg,True
1593
+ 20-29,Victualling,Southampton,False
1594
+ 30-39,Engine,Southampton,False
1595
+ 0-9,3rd Class,Southampton,False
1596
+ 20-29,Engine,Southampton,False
1597
+ 30-39,Victualling,Belfast,False
1598
+ 30-39,Victualling,Belfast,False
1599
+ 60-69,2nd Class,Queenstown,False
1600
+ 30-39,2nd Class,Southampton,True
1601
+ 20-29,Engine,Southampton,False
1602
+ 10-19,1st Class,Southampton,False
1603
+ 20-29,Engine,Southampton,False
1604
+ 40-49,Victualling,Southampton,False
1605
+ 40-49,Deck,Southampton,True
1606
+ 30-39,3rd Class,Southampton,False
1607
+ 10-19,3rd Class,Southampton,False
1608
+ 20-29,A la Carte,Southampton,False
1609
+ 40-49,Engine,Southampton,False
1610
+ 20-29,Victualling,Belfast,True
1611
+ 20-29,Deck,Southampton,True
1612
+ 40-49,Engine,Southampton,False
1613
+ 20-29,Engine,Southampton,False
1614
+ 20-29,Victualling,Southampton,False
1615
+ 0-9,3rd Class,Southampton,False
1616
+ 20-29,2nd Class,Southampton,True
1617
+ 20-29,3rd Class,Southampton,False
1618
+ 0-9,3rd Class,Southampton,False
1619
+ 0-9,2nd Class,Southampton,True
1620
+ 10-19,3rd Class,Queenstown,False
1621
+ 20-29,3rd Class,Cherbourg,False
1622
+ 20-29,1st Class,Southampton,False
1623
+ 30-39,Victualling,Southampton,False
1624
+ 30-39,Victualling,Southampton,False
1625
+ 20-29,A la Carte,Southampton,False
1626
+ 30-39,1st Class,Cherbourg,True
1627
+ 20-29,3rd Class,Queenstown,True
1628
+ 40-49,Victualling,Belfast,False
1629
+ 40-49,2nd Class,Southampton,False
1630
+ 30-39,1st Class,Cherbourg,True
1631
+ 30-39,3rd Class,Southampton,False
1632
+ 30-39,3rd Class,Southampton,False
1633
+ 30-39,2nd Class,Southampton,False
1634
+ 10-19,3rd Class,Southampton,False
1635
+ 40-49,Deck,Belfast,True
1636
+ 40-49,Deck,Belfast,True
1637
+ 40-49,1st Class,Cherbourg,False
1638
+ 10-19,3rd Class,Southampton,False
1639
+ 30-39,1st Class,Southampton,True
1640
+ 40-49,1st Class,Cherbourg,True
1641
+ 10-19,Victualling,Southampton,False
1642
+ 20-29,3rd Class,Southampton,False
1643
+ 20-29,2nd Class,Southampton,True
1644
+ 30-39,Engine,Southampton,False
1645
+ 50-59,1st Class,Cherbourg,True
1646
+ 20-29,3rd Class,Southampton,False
1647
+ 20-29,2nd Class,Southampton,True
1648
+ 20-29,3rd Class,Southampton,True
1649
+ 10-19,Victualling,Southampton,False
1650
+ 40-49,Victualling,Belfast,False
1651
+ 20-29,Engine,Southampton,False
1652
+ 10-19,1st Class,Southampton,True
1653
+ 30-39,Engine,Southampton,False
1654
+ 30-39,Victualling,Southampton,False
1655
+ 20-29,3rd Class,Southampton,True
1656
+ 20-29,3rd Class,Southampton,False
1657
+ 20-29,Engine,Southampton,False
1658
+ 10-19,3rd Class,Southampton,False
1659
+ 10-19,3rd Class,Southampton,False
1660
+ 30-39,3rd Class,Southampton,False
1661
+ 10-19,2nd Class,Southampton,True
1662
+ 30-39,2nd Class,Southampton,False
1663
+ 30-39,Victualling,Southampton,False
1664
+ 20-29,Victualling,Southampton,False
1665
+ 40-49,Victualling,Southampton,False
1666
+ 0-9,2nd Class,Cherbourg,True
1667
+ 60-69,3rd Class,Southampton,False
1668
+ 40-49,2nd Class,Southampton,True
1669
+ 20-29,Victualling,Southampton,False
1670
+ 40-49,Engine,Southampton,False
1671
+ ,2nd Class,Southampton,False
1672
+ 30-39,Victualling,Southampton,False
1673
+ 20-29,3rd Class,Southampton,False
1674
+ 30-39,Victualling,Southampton,False
1675
+ 10-19,3rd Class,Queenstown,False
1676
+ 40-49,Victualling,Southampton,False
1677
+ 60-69,1st Class,Cherbourg,True
1678
+ 10-19,Engine,Southampton,False
1679
+ 0-9,3rd Class,Southampton,False
1680
+ 30-39,1st Class,Cherbourg,True
1681
+ 0-9,2nd Class,Southampton,True
1682
+ 10-19,3rd Class,Queenstown,False
1683
+ 30-39,1st Class,Southampton,True
1684
+ 20-29,Victualling,Southampton,False
1685
+ 50-59,1st Class,Southampton,False
1686
+ 30-39,Victualling,Belfast,False
1687
+ 60-69,1st Class,Southampton,False
1688
+ 30-39,Engine,Southampton,False
1689
+ 20-29,3rd Class,Queenstown,True
1690
+ 30-39,Victualling,Southampton,False
1691
+ 10-19,Victualling,Southampton,False
1692
+ 40-49,1st Class,Cherbourg,True
1693
+ 30-39,Engine,Southampton,False
1694
+ 20-29,3rd Class,Queenstown,False
1695
+ ,1st Class,Southampton,False
1696
+ 40-49,Deck,Belfast,False
1697
+ 30-39,Victualling,Southampton,False
1698
+ 30-39,Victualling,Belfast,True
1699
+ 20-29,2nd Class,Southampton,False
1700
+ 10-19,1st Class,Cherbourg,True
1701
+ 10-19,Victualling,Southampton,False
1702
+ 40-49,1st Class,Cherbourg,True
1703
+ 30-39,Engine,Southampton,False
1704
+ 30-39,Victualling,Southampton,False
1705
+ 0-9,3rd Class,Southampton,True
1706
+ 20-29,3rd Class,Southampton,False
1707
+ 30-39,Engine,Southampton,False
1708
+ 20-29,3rd Class,Queenstown,False
1709
+ 10-19,3rd Class,Southampton,False
1710
+ 10-19,3rd Class,Queenstown,True
1711
+ 20-29,Victualling,Southampton,False
1712
+ 20-29,3rd Class,Southampton,False
1713
+ 60-69,2nd Class,Southampton,False
1714
+ 20-29,Engine,Southampton,False
1715
+ 40-49,1st Class,Southampton,False
1716
+ 40-49,1st Class,Cherbourg,True
1717
+ 20-29,Engine,Southampton,False
1718
+ 20-29,2nd Class,Cherbourg,True
1719
+ 30-39,Engine,Southampton,False
1720
+ 0-9,3rd Class,Southampton,False
1721
+ 20-29,3rd Class,Cherbourg,False
1722
+ 20-29,Engine,Belfast,False
1723
+ 20-29,A la Carte,Southampton,False
1724
+ 50-59,1st Class,Southampton,False
1725
+ 30-39,2nd Class,Southampton,False
1726
+ 30-39,3rd Class,Southampton,True
1727
+ 20-29,3rd Class,Southampton,False
1728
+ 40-49,2nd Class,Cherbourg,False
1729
+ 50-59,1st Class,Cherbourg,True
1730
+ 30-39,Victualling,Southampton,False
1731
+ 30-39,Deck,Southampton,False
1732
+ 20-29,1st Class,Southampton,True
1733
+ 0-9,2nd Class,Southampton,True
1734
+ 30-39,Victualling,Southampton,False
1735
+ 30-39,3rd Class,Southampton,False
1736
+ 30-39,Victualling,Southampton,False
1737
+ 20-29,Engine,Southampton,False
1738
+ 50-59,1st Class,Cherbourg,False
1739
+ 20-29,3rd Class,Southampton,False
1740
+ 0-9,3rd Class,Cherbourg,True
1741
+ 20-29,Engine,Southampton,False
1742
+ 30-39,Victualling,Southampton,False
1743
+ 10-19,3rd Class,Southampton,False
1744
+ 20-29,Engine,Southampton,False
1745
+ 0-9,2nd Class,Southampton,True
1746
+ 20-29,1st Class,Cherbourg,True
1747
+ 20-29,2nd Class,Southampton,False
1748
+ 20-29,Engine,Southampton,False
1749
+ 20-29,1st Class,Cherbourg,True
1750
+ 20-29,Engine,Southampton,False
1751
+ 30-39,Victualling,Belfast,False
1752
+ 10-19,Victualling,Southampton,False
1753
+ 40-49,3rd Class,Queenstown,False
1754
+ 30-39,2nd Class,Cherbourg,True
1755
+ 50-59,Victualling,Belfast,False
1756
+ 30-39,3rd Class,Southampton,False
1757
+ 20-29,3rd Class,Southampton,False
1758
+ 30-39,3rd Class,Cherbourg,False
1759
+ 30-39,3rd Class,Southampton,False
1760
+ 20-29,2nd Class,Southampton,True
1761
+ 20-29,A la Carte,Southampton,False
1762
+ 30-39,2nd Class,Southampton,True
1763
+ 30-39,Victualling,Southampton,False
1764
+ 30-39,Engine,Southampton,False
1765
+ 20-29,3rd Class,Queenstown,False
1766
+ 30-39,1st Class,Southampton,False
1767
+ 20-29,A la Carte,Southampton,False
1768
+ 40-49,1st Class,Cherbourg,True
1769
+ 20-29,3rd Class,Southampton,True
1770
+ 20-29,Engine,Southampton,False
1771
+ 20-29,3rd Class,Cherbourg,False
1772
+ 30-39,3rd Class,Queenstown,False
1773
+ ,2nd Class,Southampton,False
1774
+ 10-19,Victualling,Southampton,False
1775
+ 10-19,A la Carte,Southampton,False
1776
+ 10-19,3rd Class,Queenstown,False
1777
+ 30-39,2nd Class,Southampton,True
1778
+ 20-29,3rd Class,Southampton,False
1779
+ 30-39,Engine,Southampton,False
1780
+ 20-29,3rd Class,Southampton,False
1781
+ 40-49,3rd Class,Southampton,False
1782
+ 50-59,2nd Class,Southampton,False
1783
+ 20-29,1st Class,Cherbourg,True
1784
+ 20-29,Deck,Belfast,True
1785
+ 10-19,3rd Class,Queenstown,False
1786
+ 10-19,Engine,Belfast,False
1787
+ 20-29,3rd Class,Southampton,False
1788
+ 30-39,Engine,Southampton,False
1789
+ 10-19,1st Class,Southampton,True
1790
+ 30-39,Engine,Southampton,False
1791
+ 20-29,3rd Class,Southampton,True
1792
+ 20-29,Victualling,Southampton,False
1793
+ 20-29,3rd Class,Queenstown,False
1794
+ 0-9,3rd Class,Cherbourg,True
1795
+ 40-49,1st Class,Belfast,False
1796
+ 30-39,3rd Class,Southampton,False
1797
+ 20-29,1st Class,Cherbourg,False
1798
+ 20-29,Victualling,Southampton,False
1799
+ 30-39,3rd Class,Southampton,False
1800
+ 10-19,3rd Class,Southampton,False
1801
+ 50-59,1st Class,Southampton,True
1802
+ 20-29,3rd Class,Southampton,False
1803
+ 60-69,3rd Class,Southampton,False
1804
+ 20-29,3rd Class,Southampton,True
1805
+ 20-29,1st Class,Cherbourg,False
1806
+ 20-29,2nd Class,Southampton,False
1807
+ 40-49,Engine,Belfast,False
1808
+ 30-39,2nd Class,Southampton,False
1809
+ 30-39,1st Class,Southampton,False
1810
+ 10-19,1st Class,Cherbourg,True
1811
+ 20-29,3rd Class,Southampton,False
1812
+ 10-19,3rd Class,Southampton,False
1813
+ 20-29,Victualling,Southampton,False
1814
+ 0-9,3rd Class,Cherbourg,True
1815
+ 30-39,Victualling,Southampton,False
1816
+ 20-29,3rd Class,Southampton,False
1817
+ 10-19,3rd Class,Southampton,False
1818
+ 40-49,1st Class,Cherbourg,True
1819
+ 20-29,3rd Class,Queenstown,False
1820
+ 10-19,Engine,Southampton,False
1821
+ 40-49,2nd Class,Southampton,False
1822
+ 40-49,1st Class,Cherbourg,True
1823
+ 30-39,Engine,Southampton,False
1824
+ 40-49,Victualling,Southampton,False
1825
+ 60-69,1st Class,Southampton,False
1826
+ 30-39,3rd Class,Southampton,False
1827
+ ,Victualling,Southampton,False
1828
+ 30-39,Victualling,Southampton,False
1829
+ 0-9,3rd Class,Southampton,False
1830
+ 40-49,3rd Class,Southampton,False
1831
+ 20-29,3rd Class,Southampton,False
1832
+ 20-29,3rd Class,Southampton,False
1833
+ 30-39,Victualling,Belfast,False
1834
+ 30-39,Victualling,Southampton,False
1835
+ 20-29,Victualling,Belfast,True
1836
+ 20-29,Victualling,Southampton,False
1837
+ 50-59,1st Class,Cherbourg,True
1838
+ 20-29,3rd Class,Southampton,False
1839
+ 30-39,1st Class,Southampton,True
1840
+ 10-19,3rd Class,Southampton,False
1841
+ 20-29,3rd Class,Southampton,False
1842
+ 20-29,3rd Class,Southampton,False
1843
+ 20-29,Victualling,Southampton,False
1844
+ 60-69,1st Class,Southampton,False
1845
+ 10-19,3rd Class,Cherbourg,False
1846
+ 50-59,Victualling,Belfast,False
1847
+ 30-39,Engine,Southampton,False
1848
+ 20-29,Engine,Southampton,False
1849
+ 30-39,Deck,Belfast,True
1850
+ 10-19,2nd Class,Cherbourg,False
1851
+ 20-29,1st Class,Cherbourg,True
1852
+ 30-39,Engine,Southampton,False
1853
+ 30-39,3rd Class,Southampton,True
1854
+ 20-29,Engine,Belfast,False
1855
+ 40-49,Victualling,Southampton,False
1856
+ 30-39,2nd Class,Southampton,True
1857
+ 20-29,Victualling,Belfast,False
1858
+ 20-29,3rd Class,Queenstown,False
1859
+ 20-29,3rd Class,Southampton,False
1860
+ 30-39,3rd Class,Southampton,True
1861
+ 40-49,Victualling,Southampton,False
1862
+ 10-19,3rd Class,Southampton,True
1863
+ 30-39,3rd Class,Southampton,True
1864
+ 60-69,2nd Class,Southampton,False
1865
+ 0-9,3rd Class,Southampton,False
1866
+ 50-59,1st Class,Cherbourg,True
1867
+ 20-29,Engine,Southampton,False
1868
+ 50-59,1st Class,Cherbourg,True
1869
+ 30-39,Victualling,Southampton,False
1870
+ 40-49,Engine,Southampton,False
1871
+ 10-19,3rd Class,Queenstown,False
1872
+ 30-39,3rd Class,Southampton,True
1873
+ 0-9,2nd Class,Southampton,True
1874
+ 30-39,Victualling,Southampton,False
1875
+ 20-29,3rd Class,Southampton,False
1876
+ 20-29,3rd Class,Queenstown,False
1877
+ 40-49,3rd Class,Southampton,False
1878
+ 30-39,Engine,Belfast,False
1879
+ 20-29,3rd Class,Southampton,False
1880
+ 50-59,Victualling,Southampton,False
1881
+ 20-29,3rd Class,Southampton,False
1882
+ 0-9,3rd Class,Southampton,False
1883
+ 30-39,Victualling,Belfast,False
1884
+ 50-59,1st Class,Cherbourg,True
1885
+ 40-49,1st Class,Cherbourg,True
1886
+ 30-39,3rd Class,Southampton,False
1887
+ 30-39,Engine,Southampton,False
1888
+ 30-39,3rd Class,Cherbourg,False
1889
+ 30-39,1st Class,Cherbourg,True
1890
+ 10-19,1st Class,Southampton,False
1891
+ 30-39,3rd Class,Southampton,False
1892
+ 20-29,Engine,Southampton,False
1893
+ 20-29,2nd Class,Southampton,True
1894
+ 40-49,Victualling,Southampton,False
1895
+ 30-39,2nd Class,Southampton,False
1896
+ 20-29,Engine,Southampton,False
1897
+ 30-39,Engine,Southampton,False
1898
+ 20-29,3rd Class,Southampton,False
1899
+ 10-19,2nd Class,Southampton,False
1900
+ 20-29,Victualling,Southampton,False
1901
+ 0-9,3rd Class,Southampton,True
1902
+ 30-39,Victualling,Belfast,True
1903
+ 20-29,2nd Class,Southampton,False
1904
+ 10-19,1st Class,Southampton,False
1905
+ 30-39,2nd Class,Southampton,False
1906
+ 30-39,1st Class,Southampton,False
1907
+ 20-29,Engine,Southampton,False
1908
+ 20-29,3rd Class,Cherbourg,True
1909
+ 10-19,3rd Class,Queenstown,False
1910
+ 40-49,3rd Class,Southampton,False
1911
+ 10-19,3rd Class,Southampton,False
1912
+ 20-29,3rd Class,Southampton,True
1913
+ 10-19,3rd Class,Southampton,False
1914
+ 20-29,Victualling,Southampton,False
1915
+ 30-39,3rd Class,Southampton,False
1916
+ 30-39,3rd Class,Southampton,False
1917
+ 10-19,Victualling,Southampton,False
1918
+ 30-39,1st Class,Southampton,True
1919
+ 10-19,1st Class,Cherbourg,True
1920
+ 20-29,3rd Class,Southampton,True
1921
+ 20-29,3rd Class,Queenstown,True
1922
+ 10-19,3rd Class,Southampton,False
1923
+ 40-49,2nd Class,Southampton,False
1924
+ 10-19,3rd Class,Queenstown,True
1925
+ 30-39,3rd Class,Southampton,False
1926
+ 20-29,1st Class,Cherbourg,True
1927
+ 40-49,1st Class,Southampton,False
1928
+ 30-39,Victualling,Belfast,False
1929
+ 40-49,3rd Class,Southampton,False
1930
+ 30-39,2nd Class,Southampton,False
1931
+ 30-39,1st Class,Southampton,True
1932
+ 30-39,3rd Class,Southampton,False
1933
+ 50-59,1st Class,Southampton,False
1934
+ 30-39,A la Carte,Southampton,False
1935
+ 30-39,Victualling,Southampton,False
1936
+ 20-29,Victualling,Southampton,False
1937
+ 50-59,2nd Class,Southampton,False
1938
+ 20-29,Victualling,Southampton,False
1939
+ 30-39,3rd Class,Southampton,False
1940
+ 30-39,3rd Class,Southampton,False
1941
+ 30-39,Victualling,Southampton,False
1942
+ 40-49,1st Class,Southampton,True
1943
+ 10-19,3rd Class,Southampton,False
1944
+ 20-29,2nd Class,Southampton,True
1945
+ 10-19,1st Class,Southampton,True
1946
+ 40-49,Engine,Southampton,False
1947
+ 20-29,2nd Class,Southampton,False
1948
+ 20-29,3rd Class,Southampton,False
1949
+ 40-49,2nd Class,Southampton,True
1950
+ 30-39,1st Class,Southampton,True
1951
+ ,1st Class,Southampton,False
1952
+ 30-39,2nd Class,Southampton,False
1953
+ 20-29,Victualling,Belfast,True
1954
+ 40-49,3rd Class,Southampton,False
1955
+ 20-29,Victualling,Southampton,False
1956
+ 20-29,Engine,Southampton,False
1957
+ 20-29,3rd Class,Southampton,False
1958
+ 20-29,Engine,Southampton,False
1959
+ 40-49,Engine,Southampton,False
1960
+ 10-19,2nd Class,Southampton,False
1961
+ 30-39,1st Class,Cherbourg,True
1962
+ 20-29,3rd Class,Cherbourg,True
1963
+ 0-9,3rd Class,Cherbourg,True
1964
+ 0-9,3rd Class,Southampton,True
1965
+ 20-29,3rd Class,Southampton,False
1966
+ 30-39,3rd Class,Cherbourg,False
1967
+ 20-29,2nd Class,Southampton,False
1968
+ 20-29,2nd Class,Cherbourg,False
1969
+ 30-39,A la Carte,Southampton,False
1970
+ 30-39,Engine,Southampton,False
1971
+ 40-49,1st Class,Cherbourg,True
1972
+ 20-29,3rd Class,Queenstown,False
1973
+ 40-49,2nd Class,Southampton,False
1974
+ 20-29,A la Carte,Southampton,False
1975
+ 50-59,3rd Class,Southampton,False
1976
+ 20-29,Victualling,Southampton,False
1977
+ 40-49,Engine,Southampton,False
1978
+ 20-29,2nd Class,Southampton,False
1979
+ 30-39,Engine,Southampton,True
1980
+ 40-49,2nd Class,Southampton,False
1981
+ 10-19,Victualling,Southampton,False
1982
+ 20-29,3rd Class,Southampton,False
1983
+ 20-29,Engine,Southampton,False
1984
+ 0-9,3rd Class,Cherbourg,True
1985
+ 20-29,1st Class,Southampton,True
1986
+ 30-39,3rd Class,Southampton,False
1987
+ 20-29,A la Carte,Southampton,False
1988
+ 30-39,3rd Class,Cherbourg,False
1989
+ 20-29,3rd Class,Queenstown,True
1990
+ 30-39,Engine,Southampton,False
1991
+ 40-49,3rd Class,Southampton,False
1992
+ 30-39,2nd Class,Southampton,False
1993
+ 20-29,3rd Class,Southampton,False
1994
+ 20-29,A la Carte,Southampton,False
1995
+ 0-9,3rd Class,Southampton,False
1996
+ 30-39,Victualling,Southampton,False
1997
+ 30-39,Deck,Southampton,True
1998
+ 30-39,Engine,Southampton,False
1999
+ 30-39,1st Class,Southampton,True
2000
+ 40-49,Victualling,Southampton,False
2001
+ 30-39,Victualling,Southampton,False
2002
+ 40-49,Victualling,Belfast,False
2003
+ 20-29,Deck,Southampton,False
2004
+ 30-39,Victualling,Southampton,False
2005
+ 30-39,3rd Class,Queenstown,False
2006
+ 20-29,Engine,Southampton,False
2007
+ 20-29,1st Class,Cherbourg,True
2008
+ 10-19,3rd Class,Southampton,False
2009
+ 20-29,Victualling,Southampton,False
2010
+ 30-39,3rd Class,Cherbourg,True
2011
+ ,1st Class,Southampton,False
2012
+ 40-49,Engine,Southampton,False
2013
+ 30-39,Deck,Southampton,False
2014
+ 40-49,3rd Class,Southampton,False
2015
+ 30-39,2nd Class,Southampton,False
2016
+ 20-29,2nd Class,Southampton,False
classification/unipredict/bhavkaur-simplified-titanic-dataset/train.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
classification/unipredict/blastchar-telco-customer-churn/metadata.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "blastchar-telco-customer-churn",
3
+ "benchmark": "unipredict",
4
+ "sub_benchmark": "",
5
+ "task_type": "clf",
6
+ "data_type": "mixed",
7
+ "target_column": "Churn",
8
+ "label_values": [
9
+ "No",
10
+ "Yes"
11
+ ],
12
+ "num_labels": 2,
13
+ "train_samples": 6338,
14
+ "test_samples": 705,
15
+ "train_label_distribution": {
16
+ "No": 4656,
17
+ "Yes": 1682
18
+ },
19
+ "test_label_distribution": {
20
+ "No": 518,
21
+ "Yes": 187
22
+ }
23
+ }
classification/unipredict/blastchar-telco-customer-churn/test.csv ADDED
@@ -0,0 +1,706 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ customerID,gender,SeniorCitizen,Partner,Dependents,tenure,PhoneService,MultipleLines,InternetService,OnlineSecurity,OnlineBackup,DeviceProtection,TechSupport,StreamingTV,StreamingMovies,Contract,PaperlessBilling,PaymentMethod,MonthlyCharges,TotalCharges,Churn
2
+ 1794-SWWKL,Male,0,Yes,Yes,15,Yes,Yes,DSL,No,No,Yes,Yes,No,No,Month-to-month,Yes,Bank transfer (automatic),59.65,867.1,No
3
+ 3428-XZMAZ,Male,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,69.35,69.35,Yes
4
+ 8780-YRMTT,Female,0,No,No,66,No,No phone service,DSL,Yes,Yes,Yes,Yes,No,No,Two year,Yes,Mailed check,47.4,3177.25,No
5
+ 4807-IZYOZ,Female,0,No,No,51,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.65,1020.75,No
6
+ 4860-IJUDE,Male,0,No,No,13,Yes,No,Fiber optic,Yes,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),73.75,956.65,No
7
+ 5688-KZTSN,Male,0,Yes,Yes,15,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Electronic check,20.0,288.05,Yes
8
+ 7018-WBJNK,Male,0,No,Yes,13,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Credit card (automatic),78.3,1033.95,No
9
+ 0541-FITGH,Female,0,Yes,No,2,Yes,No,DSL,Yes,No,No,No,No,Yes,Month-to-month,Yes,Mailed check,62.15,113.1,No
10
+ 9418-RUKPH,Female,0,Yes,Yes,38,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,19.95,756.4,No
11
+ 6215-NQCPY,Male,0,No,No,15,Yes,Yes,Fiber optic,Yes,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,99.7,1566.75,No
12
+ 7176-WIONM,Female,0,Yes,No,12,No,No phone service,DSL,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),49.85,617.15,No
13
+ 4957-TIALW,Female,0,No,Yes,15,Yes,No,DSL,Yes,Yes,Yes,Yes,No,No,One year,No,Credit card (automatic),65.6,1010,No
14
+ 5183-SNMJQ,Male,0,No,No,10,Yes,No,Fiber optic,No,No,No,Yes,Yes,Yes,Month-to-month,Yes,Credit card (automatic),95.1,865.1,No
15
+ 4847-TAJYI,Female,1,No,No,6,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,89.35,567.8,No
16
+ 4514-GFCFI,Female,1,No,No,16,Yes,Yes,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,84.75,1350.15,Yes
17
+ 5244-IRFIH,Male,1,Yes,No,33,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,94.5,3105.55,Yes
18
+ 7860-KSUGX,Male,0,Yes,Yes,72,Yes,Yes,DSL,Yes,Yes,Yes,No,No,No,Two year,No,Credit card (automatic),64.45,4720,No
19
+ 3427-GGZZI,Female,0,Yes,No,19,Yes,Yes,Fiber optic,No,Yes,No,No,No,Yes,Month-to-month,Yes,Electronic check,89.1,1620.8,No
20
+ 6463-MVYRY,Female,1,No,No,57,Yes,No,DSL,Yes,No,Yes,Yes,Yes,No,Two year,No,Bank transfer (automatic),69.85,4003,No
21
+ 6692-YQHXC,Male,0,No,No,16,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),69.95,1205.5,No
22
+ 7109-MFBYV,Male,0,No,No,26,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,No,Electronic check,45.45,1233.15,No
23
+ 1452-VOQCH,Male,0,No,No,1,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,75.1,75.1,No
24
+ 1036-GUDCL,Male,0,Yes,Yes,60,Yes,No,DSL,Yes,Yes,No,Yes,Yes,Yes,Month-to-month,Yes,Credit card (automatic),79.05,4663.4,No
25
+ 8778-LMWTJ,Female,0,No,No,9,Yes,No,Fiber optic,Yes,No,No,No,No,No,Month-to-month,Yes,Electronic check,74.85,708.2,No
26
+ 4304-TSPVK,Female,0,Yes,No,68,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),114.9,7843.55,No
27
+ 6195-MELTI,Male,0,No,No,57,Yes,No,DSL,No,Yes,No,Yes,No,No,One year,Yes,Mailed check,54.65,3134.7,No
28
+ 7255-SSFBC,Male,0,Yes,Yes,72,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),112.25,8041.65,No
29
+ 3082-VQXNH,Male,0,Yes,No,3,No,No phone service,DSL,No,Yes,No,No,No,No,Month-to-month,No,Credit card (automatic),29.8,94.4,No
30
+ 9546-KDTRB,Female,0,No,No,19,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Bank transfer (automatic),24.7,465.85,No
31
+ 4291-SHSBH,Male,0,No,No,7,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,69.55,521.35,No
32
+ 6122-EFVKN,Male,0,No,Yes,24,No,No phone service,DSL,Yes,No,No,Yes,No,No,Two year,No,Mailed check,35.75,830.8,No
33
+ 4134-BSXLX,Male,0,Yes,No,28,Yes,No,DSL,Yes,Yes,No,Yes,No,No,Month-to-month,No,Mailed check,60.9,1785.65,No
34
+ 3584-WKTTW,Male,0,Yes,No,51,Yes,Yes,Fiber optic,Yes,No,Yes,Yes,Yes,Yes,One year,Yes,Electronic check,111.55,5720.35,No
35
+ 5808-TOTXO,Female,0,No,Yes,3,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Credit card (automatic),20.55,57.4,No
36
+ 3426-NIYYL,Male,0,No,No,15,Yes,Yes,DSL,No,No,No,No,No,No,Month-to-month,No,Electronic check,51.55,765.5,Yes
37
+ 7029-RPUAV,Male,1,Yes,No,17,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),100.45,1622.45,Yes
38
+ 5696-EXCYS,Male,0,No,No,17,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),19.45,369.05,No
39
+ 8659-HDIYE,Female,1,No,No,64,Yes,Yes,DSL,No,Yes,Yes,Yes,No,Yes,Month-to-month,No,Credit card (automatic),74.65,4869.35,No
40
+ 4999-IEZLT,Male,0,No,No,66,No,No phone service,DSL,No,No,No,Yes,No,No,One year,No,Credit card (automatic),29.45,1983.15,No
41
+ 7876-AEHIG,Female,0,No,Yes,51,No,No phone service,DSL,Yes,No,Yes,Yes,Yes,Yes,One year,No,Bank transfer (automatic),60.15,3077,No
42
+ 8851-RAGOV,Female,0,Yes,No,25,Yes,No,DSL,Yes,Yes,No,Yes,No,Yes,Month-to-month,Yes,Mailed check,71.05,1837.7,No
43
+ 3727-RJMEO,Male,0,Yes,No,6,Yes,Yes,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,82.85,460.25,Yes
44
+ 3662-FXJFO,Female,0,No,No,54,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,20.5,1035.7,No
45
+ 3841-NFECX,Female,1,Yes,No,71,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,No,No,Two year,Yes,Credit card (automatic),96.35,6766.95,No
46
+ 3572-UOLYZ,Female,0,No,Yes,46,Yes,Yes,Fiber optic,No,No,Yes,Yes,No,No,Month-to-month,Yes,Bank transfer (automatic),84.8,3958.85,No
47
+ 3750-RNQKR,Female,0,No,No,12,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.45,246.25,No
48
+ 6298-QDFNH,Male,0,No,No,22,Yes,Yes,Fiber optic,No,Yes,No,No,No,No,Month-to-month,Yes,Electronic check,79.35,1730.35,Yes
49
+ 5465-BUBFA,Female,0,Yes,Yes,41,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),19.3,772.4,No
50
+ 2790-XUYMV,Male,0,No,Yes,71,Yes,Yes,Fiber optic,Yes,Yes,No,No,No,No,One year,Yes,Credit card (automatic),85.45,6028.95,No
51
+ 1663-MHLHE,Male,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.2,19.2,No
52
+ 9795-SHUHB,Female,0,Yes,Yes,66,Yes,No,DSL,Yes,Yes,No,Yes,No,No,Two year,Yes,Credit card (automatic),58.2,3810.8,No
53
+ 1304-BCCFO,Male,0,Yes,No,9,Yes,No,DSL,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Mailed check,70.05,564.4,No
54
+ 3638-WEABW,Female,0,Yes,No,58,Yes,Yes,DSL,No,Yes,No,Yes,No,No,Two year,Yes,Credit card (automatic),59.9,3505.1,No
55
+ 2040-LDIWQ,Male,0,Yes,Yes,65,Yes,Yes,DSL,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),84.2,5324.5,No
56
+ 6860-YRJZP,Male,1,No,No,9,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,74.05,678.45,No
57
+ 2189-WWOEW,Female,0,No,Yes,15,Yes,No,Fiber optic,No,Yes,No,No,No,Yes,Month-to-month,Yes,Bank transfer (automatic),85.9,1269.55,Yes
58
+ 5027-YOCXN,Male,0,Yes,Yes,51,Yes,Yes,Fiber optic,Yes,Yes,No,Yes,Yes,Yes,One year,No,Credit card (automatic),110.05,5686.4,No
59
+ 5832-XKAES,Male,0,No,No,2,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),69.8,134.7,Yes
60
+ 9114-AAFQH,Female,0,Yes,No,48,Yes,No,DSL,No,Yes,Yes,No,No,Yes,One year,Yes,Electronic check,65.65,3094.65,No
61
+ 3647-GMGDH,Male,0,Yes,No,22,Yes,No,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),94.7,1914.9,Yes
62
+ 9979-RGMZT,Female,0,No,No,7,Yes,No,Fiber optic,No,Yes,No,No,Yes,Yes,One year,Yes,Mailed check,94.05,633.45,No
63
+ 7252-NTGSS,Female,0,No,No,1,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,No,Mailed check,45.15,45.15,No
64
+ 2190-BCXEC,Female,0,Yes,No,40,Yes,Yes,Fiber optic,No,No,No,Yes,No,No,Month-to-month,Yes,Credit card (automatic),78.85,3126.85,No
65
+ 6621-YOBKI,Male,0,No,No,5,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.35,92.75,No
66
+ 7047-FWEYA,Female,0,Yes,No,46,Yes,Yes,Fiber optic,No,Yes,No,Yes,Yes,Yes,One year,Yes,Electronic check,103.15,4594.65,No
67
+ 4090-KPJIP,Female,0,No,No,3,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,74.95,212.4,No
68
+ 7129-CAKJW,Female,0,No,No,17,Yes,Yes,Fiber optic,No,No,Yes,No,No,No,Month-to-month,No,Bank transfer (automatic),80.05,1345.65,No
69
+ 0303-WMMRN,Male,0,No,No,5,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,19.25,86.05,No
70
+ 5575-TPIZQ,Male,0,No,No,46,Yes,Yes,Fiber optic,Yes,No,No,No,Yes,No,Month-to-month,Yes,Credit card (automatic),89.15,4245.55,No
71
+ 2525-GVKQU,Female,0,No,No,60,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,20.6,1093,No
72
+ 4445-ZJNMU,Male,0,No,No,9,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),99.3,918.75,No
73
+ 6516-NKQBO,Male,0,Yes,Yes,38,Yes,No,DSL,Yes,No,Yes,Yes,Yes,Yes,Two year,No,Credit card (automatic),81.0,3084.9,No
74
+ 3814-MLAXC,Female,0,No,No,31,Yes,Yes,Fiber optic,No,No,No,Yes,No,No,Month-to-month,Yes,Credit card (automatic),79.85,2404.15,Yes
75
+ 7977-HXJKU,Male,0,No,Yes,21,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,19.6,397,No
76
+ 9374-YOLBJ,Female,0,Yes,Yes,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Electronic check,19.25,19.25,No
77
+ 7521-YXVZY,Male,0,No,Yes,3,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.95,58.3,No
78
+ 5389-FFVKB,Male,1,Yes,No,32,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Credit card (automatic),80.3,2483.05,Yes
79
+ 4280-DLSHD,Male,0,Yes,No,8,Yes,No,DSL,No,Yes,Yes,No,No,No,Month-to-month,Yes,Mailed check,54.75,445.85,No
80
+ 5016-ETTFF,Male,0,No,No,10,No,No phone service,DSL,No,No,Yes,No,No,No,Month-to-month,No,Mailed check,29.5,255.25,Yes
81
+ 2578-JQPHZ,Male,0,No,No,44,Yes,No,Fiber optic,No,No,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),100.1,4378.35,No
82
+ 8605-ITULD,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.55,19.55,No
83
+ 7892-POOKP,Female,0,Yes,No,28,Yes,Yes,Fiber optic,No,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,104.8,3046.05,Yes
84
+ 0565-JUPYD,Male,0,No,No,63,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,Yes,No,One year,No,Credit card (automatic),104.5,6590.8,No
85
+ 6532-YLWSI,Female,0,Yes,No,53,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Bank transfer (automatic),20.8,1021.8,Yes
86
+ 2155-AMQRX,Female,0,No,No,28,Yes,Yes,DSL,No,No,No,Yes,No,No,Month-to-month,Yes,Credit card (automatic),54.9,1505.15,No
87
+ 8197-BFWVU,Female,0,Yes,Yes,72,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),93.25,6688.95,No
88
+ 6715-OFDBP,Male,0,No,No,5,Yes,No,DSL,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,70.05,346.4,Yes
89
+ 8614-VGMMV,Female,0,No,No,15,Yes,Yes,DSL,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,49.1,679.55,Yes
90
+ 4636-TVXVG,Male,0,Yes,Yes,62,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Bank transfer (automatic),19.95,1244.8,No
91
+ 1971-DTCZB,Female,0,Yes,No,72,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),90.95,6468.6,No
92
+ 6168-WFVVF,Female,1,No,No,3,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,70.3,235.5,Yes
93
+ 6655-LHBYW,Male,0,No,No,50,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,Yes,Yes,One year,No,Credit card (automatic),114.35,5791.1,No
94
+ 7279-BUYWN,Female,1,No,No,41,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,113.2,4689.5,Yes
95
+ 1852-XEMDW,Male,0,No,No,22,Yes,Yes,DSL,Yes,Yes,Yes,No,No,No,Month-to-month,No,Mailed check,65.05,1427.55,No
96
+ 5018-GWURO,Female,0,Yes,No,56,Yes,Yes,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Bank transfer (automatic),85.6,4902.8,No
97
+ 3329-WDIOK,Female,0,No,No,3,No,No phone service,DSL,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,50.6,155.35,Yes
98
+ 9444-JTXHZ,Male,0,Yes,No,1,Yes,No,Fiber optic,No,No,Yes,No,No,No,Month-to-month,No,Electronic check,76.2,76.2,Yes
99
+ 7530-HDYDS,Female,0,No,No,38,Yes,No,Fiber optic,No,Yes,Yes,Yes,No,No,Month-to-month,Yes,Credit card (automatic),84.25,3264.5,Yes
100
+ 0373-AIVNJ,Male,0,No,No,9,No,No phone service,DSL,Yes,Yes,Yes,No,No,No,One year,No,Mailed check,39.55,373,No
101
+ 5240-CAOYT,Female,0,No,No,57,Yes,Yes,Fiber optic,Yes,Yes,No,Yes,No,No,Month-to-month,Yes,Bank transfer (automatic),87.55,4884.85,No
102
+ 8747-UDCOI,Female,0,Yes,No,65,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),19.35,1319.95,No
103
+ 0707-HOVVN,Female,1,No,No,70,Yes,Yes,DSL,No,Yes,Yes,Yes,Yes,No,Two year,Yes,Bank transfer (automatic),75.5,5212.65,No
104
+ 1195-OIYEJ,Male,0,No,No,13,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,91.1,1135.7,Yes
105
+ 5982-XMDEX,Female,0,No,No,65,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),26.5,1698.55,No
106
+ 3990-QYKBE,Male,1,Yes,No,37,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,92.5,3473.4,Yes
107
+ 0100-DUVFC,Male,1,Yes,No,70,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,One year,Yes,Electronic check,104.8,7308.95,No
108
+ 1354-YZFNB,Male,0,Yes,Yes,4,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),19.55,68.8,No
109
+ 9095-HFAFX,Female,0,No,No,5,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Credit card (automatic),81.0,389.6,Yes
110
+ 3143-JQEGI,Female,0,Yes,Yes,13,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,No,Electronic check,88.35,1222.8,Yes
111
+ 6797-UCJHZ,Female,1,Yes,No,66,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,One year,No,Credit card (automatic),104.6,6819.45,No
112
+ 5130-YPIRV,Female,0,Yes,No,62,Yes,No,DSL,Yes,Yes,Yes,No,Yes,No,Two year,Yes,Credit card (automatic),72.0,4284.2,No
113
+ 9618-LFJRU,Female,0,No,No,4,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Credit card (automatic),20.45,82.85,No
114
+ 9146-JRIOX,Female,0,Yes,Yes,14,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,25.55,372.45,No
115
+ 5828-DWPIL,Male,1,Yes,No,62,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,No,No,Month-to-month,Yes,Electronic check,89.1,5618.3,No
116
+ 7446-SFAOA,Female,0,Yes,No,37,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Bank transfer (automatic),19.85,717.5,No
117
+ 0442-TDYUO,Male,0,Yes,No,48,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,20.05,1036,No
118
+ 6248-BSHKG,Male,0,Yes,Yes,61,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,20.4,1226.45,No
119
+ 8782-LKFPK,Male,0,No,No,44,Yes,Yes,Fiber optic,No,No,Yes,No,No,Yes,Month-to-month,Yes,Mailed check,90.4,4063,No
120
+ 0930-EHUZA,Female,0,No,No,36,Yes,No,DSL,Yes,Yes,Yes,Yes,Yes,No,One year,Yes,Mailed check,76.35,2606.35,No
121
+ 5684-FJVYR,Female,0,Yes,Yes,72,Yes,Yes,Fiber optic,Yes,Yes,No,Yes,No,No,Two year,Yes,Bank transfer (automatic),90.35,6563.4,No
122
+ 2378-HTWFW,Male,1,No,No,35,Yes,Yes,Fiber optic,Yes,No,No,No,No,Yes,Month-to-month,No,Credit card (automatic),91.0,3180.5,No
123
+ 9565-JSNFM,Male,0,No,No,38,Yes,No,Fiber optic,No,No,No,No,No,No,One year,Yes,Bank transfer (automatic),70.45,2597.6,Yes
124
+ 8874-EJNSR,Male,0,Yes,Yes,39,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,25.2,987.95,No
125
+ 2520-SGTTA,Female,0,Yes,Yes,0,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,20.0, ,No
126
+ 1963-VAUKV,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.4,20.4,Yes
127
+ 4806-KEXQR,Male,0,No,No,4,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,79.9,324.3,Yes
128
+ 0754-UKWQP,Male,0,No,No,2,Yes,No,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,95.85,197.7,Yes
129
+ 5175-WLYXL,Male,0,No,No,22,Yes,Yes,Fiber optic,No,Yes,No,No,No,No,Month-to-month,Yes,Mailed check,78.85,1600.25,No
130
+ 8992-CEUEN,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Electronic check,18.85,18.85,No
131
+ 3938-YFPXD,Male,0,No,No,72,Yes,Yes,DSL,Yes,No,Yes,Yes,Yes,Yes,Two year,No,Credit card (automatic),84.3,5997.1,No
132
+ 7581-EBBOU,Female,0,No,No,60,Yes,No,DSL,No,Yes,Yes,Yes,Yes,No,One year,Yes,Credit card (automatic),70.15,4224.7,No
133
+ 2274-XUATA,Male,1,Yes,No,72,No,No phone service,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),63.1,4685.55,No
134
+ 4566-GOLUK,Male,0,Yes,Yes,47,Yes,Yes,Fiber optic,No,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),107.35,5118.95,Yes
135
+ 3620-MWJNE,Male,0,No,No,2,Yes,No,DSL,Yes,No,No,Yes,No,No,Month-to-month,Yes,Mailed check,54.45,87.3,No
136
+ 0862-PRCBS,Female,0,Yes,Yes,68,Yes,Yes,Fiber optic,No,Yes,No,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),103.75,7039.45,No
137
+ 1508-DFXCU,Male,0,No,No,12,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,81.45,912,No
138
+ 9025-ZRPVR,Male,0,No,No,9,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,18.95,185.6,Yes
139
+ 2725-KXXWT,Male,0,Yes,No,1,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,90.75,90.75,Yes
140
+ 6088-BXMRG,Female,0,Yes,Yes,32,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,98.85,3089.6,No
141
+ 6328-ZPBGN,Female,1,No,No,11,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),95.15,997.65,Yes
142
+ 4692-NNQRU,Female,0,Yes,No,21,Yes,No,Fiber optic,No,No,Yes,Yes,No,No,One year,No,Electronic check,79.2,1742.45,No
143
+ 9565-FLVCG,Male,0,Yes,Yes,65,Yes,Yes,DSL,Yes,Yes,No,No,No,Yes,Two year,Yes,Mailed check,69.55,4459.15,No
144
+ 8086-OVPWV,Male,0,No,No,2,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,80.2,181.1,Yes
145
+ 5073-WXOYN,Female,0,No,No,60,No,No phone service,DSL,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,50.8,3027.4,Yes
146
+ 7927-AUXBZ,Female,0,No,No,30,Yes,No,Fiber optic,No,No,No,Yes,Yes,No,Month-to-month,No,Electronic check,85.15,2555.9,Yes
147
+ 3969-JQABI,Female,0,Yes,No,58,Yes,No,DSL,Yes,Yes,No,No,Yes,No,Month-to-month,Yes,Credit card (automatic),65.25,3791.6,No
148
+ 3807-BPOMJ,Female,0,Yes,No,55,Yes,No,Fiber optic,Yes,No,No,No,Yes,Yes,One year,Yes,Electronic check,94.75,5276.1,No
149
+ 1450-SKCVI,Female,0,No,No,56,Yes,No,Fiber optic,No,Yes,No,No,No,No,Month-to-month,Yes,Electronic check,73.85,4092.85,Yes
150
+ 9099-FTUHS,Female,0,No,No,23,Yes,Yes,DSL,Yes,No,No,No,No,No,Month-to-month,No,Electronic check,54.4,1249.25,No
151
+ 6933-FHBZC,Female,0,No,No,26,Yes,No,DSL,No,Yes,Yes,No,No,No,One year,Yes,Mailed check,56.05,1553.2,No
152
+ 5153-LXKDT,Male,0,Yes,Yes,68,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,Two year,Yes,Electronic check,110.2,7467.5,No
153
+ 4648-YPBTM,Male,0,No,No,53,Yes,Yes,DSL,No,Yes,Yes,Yes,No,Yes,Two year,Yes,Bank transfer (automatic),73.9,3958.25,No
154
+ 4929-XIHVW,Male,1,Yes,No,2,Yes,No,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),95.5,181.65,No
155
+ 2314-TNDJQ,Female,0,Yes,Yes,72,No,No phone service,DSL,Yes,Yes,Yes,Yes,No,Yes,Two year,No,Credit card (automatic),55.65,3880.05,No
156
+ 0871-URUWO,Male,0,Yes,No,13,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),102.25,1359,Yes
157
+ 4881-GQJTW,Male,0,No,No,14,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Credit card (automatic),19.6,300.4,No
158
+ 7102-JJVTX,Female,0,Yes,Yes,9,Yes,No,DSL,Yes,No,No,No,No,No,One year,No,Mailed check,48.6,422.3,No
159
+ 7641-EUYET,Male,1,Yes,Yes,46,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,No,Month-to-month,Yes,Electronic check,100.7,4541.2,Yes
160
+ 8066-POXGX,Female,0,No,No,13,No,No phone service,DSL,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,35.1,446.1,Yes
161
+ 1032-MAELW,Female,0,Yes,Yes,68,Yes,Yes,DSL,Yes,Yes,Yes,Yes,No,Yes,One year,Yes,Electronic check,78.45,5333.35,No
162
+ 7547-EKNFS,Male,0,Yes,No,42,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,No,Month-to-month,Yes,Bank transfer (automatic),95.25,3959.35,Yes
163
+ 1306-RPWXZ,Female,0,No,Yes,49,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),20.45,1024.65,No
164
+ 1918-ZBFQJ,Female,0,No,No,13,Yes,No,Fiber optic,No,Yes,Yes,No,No,No,Month-to-month,Yes,Electronic check,79.25,1111.65,Yes
165
+ 0634-SZPQA,Female,0,No,No,23,Yes,Yes,Fiber optic,Yes,No,No,No,Yes,No,Month-to-month,Yes,Bank transfer (automatic),90.05,2169.8,Yes
166
+ 1661-CZBAU,Male,0,No,No,48,Yes,Yes,DSL,Yes,No,No,Yes,No,Yes,One year,Yes,Bank transfer (automatic),70.95,3629.2,No
167
+ 5229-PRWKT,Male,0,No,No,8,Yes,Yes,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,86.55,649.65,Yes
168
+ 9638-JIQYA,Male,0,No,No,2,No,No phone service,DSL,No,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),24.9,49.7,No
169
+ 2144-BFDSO,Female,1,Yes,No,50,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,Month-to-month,No,Bank transfer (automatic),108.75,5431.9,No
170
+ 5317-FLPJF,Female,0,No,No,66,No,No phone service,DSL,Yes,No,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),61.35,4193.4,No
171
+ 0480-BIXDE,Female,0,Yes,No,19,Yes,No,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,96.8,1743.05,No
172
+ 5696-CEIQJ,Male,0,Yes,Yes,67,Yes,No,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),103.15,6895.5,No
173
+ 8272-ONJLV,Male,0,No,No,12,Yes,No,Fiber optic,No,No,Yes,No,Yes,Yes,One year,No,Electronic check,95.7,1184,No
174
+ 1658-XUHBX,Female,1,Yes,Yes,59,Yes,Yes,Fiber optic,No,No,Yes,No,No,Yes,Month-to-month,Yes,Credit card (automatic),88.75,5348.65,No
175
+ 5012-YSPJJ,Male,0,Yes,Yes,31,Yes,No,DSL,No,No,Yes,Yes,No,No,Month-to-month,No,Mailed check,54.35,1647,No
176
+ 6900-PXRMS,Male,1,Yes,Yes,26,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,Month-to-month,No,Electronic check,105.75,2710.25,Yes
177
+ 9257-AZMTZ,Female,0,Yes,Yes,52,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.1,1078.75,No
178
+ 8735-DCXNF,Male,0,Yes,No,10,Yes,No,DSL,Yes,No,No,Yes,No,No,Month-to-month,Yes,Credit card (automatic),54.95,568.85,No
179
+ 6416-TVAIH,Male,0,Yes,Yes,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,68.5,68.5,Yes
180
+ 8644-XLFBW,Male,1,No,No,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,71.65,71.65,Yes
181
+ 9742-XOKTS,Male,0,Yes,Yes,67,Yes,Yes,Fiber optic,Yes,Yes,No,Yes,No,No,One year,No,Electronic check,89.55,6038.55,No
182
+ 2952-QAYZF,Male,0,No,No,5,Yes,Yes,Fiber optic,No,Yes,Yes,No,No,No,Month-to-month,Yes,Electronic check,85.3,424.15,Yes
183
+ 3523-QRQLL,Female,0,Yes,Yes,22,Yes,No,DSL,No,Yes,No,No,Yes,Yes,One year,Yes,Bank transfer (automatic),69.5,1498.2,Yes
184
+ 0848-SOMKO,Male,0,No,No,70,No,No phone service,DSL,Yes,No,Yes,Yes,No,Yes,Two year,No,Bank transfer (automatic),48.4,3442.8,No
185
+ 3891-NLXJB,Male,0,No,No,37,No,No phone service,DSL,Yes,Yes,No,Yes,No,No,Two year,Yes,Mailed check,40.55,1390.85,No
186
+ 0661-KBKPA,Male,0,Yes,Yes,53,Yes,Yes,DSL,No,No,Yes,Yes,Yes,Yes,One year,Yes,Mailed check,78.75,3942.45,No
187
+ 3855-ONCAR,Female,0,Yes,Yes,4,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Mailed check,78.9,299.75,No
188
+ 5469-CTCWN,Male,0,Yes,Yes,61,Yes,Yes,Fiber optic,Yes,Yes,No,No,Yes,Yes,One year,Yes,Electronic check,106.0,6547.7,Yes
189
+ 0307-BCOPK,Female,0,No,No,16,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,19.05,326.65,No
190
+ 9770-KXGQU,Female,0,No,No,53,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,No,One year,No,Mailed check,98.6,5311.85,No
191
+ 1608-GMEWB,Male,1,No,No,45,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),93.9,4200.25,No
192
+ 5343-SGUBI,Female,0,No,No,52,Yes,Yes,Fiber optic,No,Yes,No,No,No,No,One year,Yes,Mailed check,80.2,4297.6,No
193
+ 3753-TSEMP,Female,0,Yes,No,15,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,No,Electronic check,88.15,1390.6,Yes
194
+ 7103-IPXPJ,Male,0,Yes,No,50,Yes,Yes,Fiber optic,No,No,No,Yes,Yes,Yes,One year,No,Electronic check,99.4,5059.75,No
195
+ 0374-FIUCA,Male,0,Yes,No,65,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Credit card (automatic),20.4,1414.45,No
196
+ 8219-VYBVI,Male,0,No,Yes,39,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,25.0,1004.35,No
197
+ 4367-NUYAO,Male,0,Yes,Yes,0,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,25.75, ,No
198
+ 4713-LZDRV,Female,1,No,No,2,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,79.6,195.05,Yes
199
+ 8034-RYTVV,Female,0,No,No,55,Yes,Yes,Fiber optic,Yes,No,Yes,No,No,No,One year,Yes,Credit card (automatic),84.25,4589.85,No
200
+ 2959-EEXWB,Female,0,Yes,Yes,45,No,No phone service,DSL,Yes,No,No,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),50.9,2333.85,No
201
+ 3078-ZKNTS,Female,0,Yes,Yes,13,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Bank transfer (automatic),19.75,246.7,No
202
+ 5626-MGTUK,Female,0,No,No,20,Yes,Yes,Fiber optic,Yes,No,No,No,Yes,No,Month-to-month,Yes,Bank transfer (automatic),89.1,1879.25,No
203
+ 5494-HECPR,Female,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,80.25,80.25,Yes
204
+ 0487-VVUVK,Male,0,Yes,Yes,25,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,19.15,477.6,No
205
+ 7389-KBFIT,Female,0,Yes,Yes,2,No,No phone service,DSL,No,Yes,No,No,No,No,Month-to-month,Yes,Mailed check,30.25,63.75,No
206
+ 7398-LXGYX,Male,0,Yes,No,44,Yes,Yes,Fiber optic,Yes,No,Yes,No,No,No,Month-to-month,Yes,Credit card (automatic),84.8,3626.35,No
207
+ 2888-ADFAO,Female,0,Yes,Yes,47,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Bank transfer (automatic),21.3,1041.8,No
208
+ 8043-PNYSD,Male,0,Yes,Yes,63,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,19.55,1245.6,No
209
+ 2900-PHPLN,Female,1,Yes,No,70,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Credit card (automatic),19.55,1462.05,No
210
+ 1636-NTNCO,Male,1,No,No,4,No,No phone service,DSL,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),50.95,207.35,No
211
+ 8620-RJPZN,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Electronic check,20.7,20.7,No
212
+ 0887-WBJVH,Female,0,Yes,No,53,Yes,No,Fiber optic,No,No,No,Yes,Yes,Yes,One year,Yes,Electronic check,93.45,4872.2,No
213
+ 3644-QXEHN,Male,0,Yes,Yes,13,Yes,No,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,No,Electronic check,97.0,1334.45,No
214
+ 5868-CZJDR,Male,0,No,Yes,1,No,No phone service,DSL,No,Yes,No,No,No,No,Month-to-month,Yes,Mailed check,31.35,31.35,Yes
215
+ 0508-OOLTO,Female,0,Yes,Yes,2,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,71.65,135.75,No
216
+ 7311-MQJCH,Female,0,No,No,5,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Electronic check,19.55,99.6,No
217
+ 9708-HPXWZ,Male,1,No,No,5,No,No phone service,DSL,No,No,Yes,Yes,Yes,No,Month-to-month,No,Credit card (automatic),45.4,214.75,No
218
+ 9143-CANJF,Female,0,Yes,Yes,24,Yes,No,DSL,Yes,No,No,Yes,No,No,Month-to-month,No,Electronic check,55.15,1319.85,No
219
+ 8993-PHFWD,Female,0,No,No,3,No,No phone service,DSL,No,No,No,No,No,No,Month-to-month,No,Electronic check,25.25,58.9,Yes
220
+ 9650-VBUOG,Male,0,Yes,Yes,38,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),25.05,963.95,No
221
+ 7982-VCELR,Female,0,No,No,36,Yes,No,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),94.8,3565.65,No
222
+ 4418-LZMSV,Male,0,Yes,Yes,13,Yes,No,DSL,No,Yes,Yes,Yes,No,No,Month-to-month,No,Bank transfer (automatic),61.8,750.1,No
223
+ 1272-ILHFG,Male,0,Yes,Yes,15,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,19.65,332.65,No
224
+ 3811-VBYBZ,Male,0,No,No,7,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,99.8,673.25,Yes
225
+ 8189-HBVRW,Female,0,No,No,53,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,No,No,Month-to-month,No,Electronic check,90.8,4921.2,No
226
+ 4398-HSCJH,Female,0,No,No,3,Yes,Yes,DSL,No,No,No,Yes,Yes,No,Month-to-month,Yes,Electronic check,63.6,155.65,Yes
227
+ 6877-LGWXO,Male,1,Yes,No,18,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,No,Electronic check,78.55,1422.65,Yes
228
+ 1760-CAZHT,Male,0,No,Yes,25,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.8,460.2,No
229
+ 7515-LODFU,Male,1,No,No,69,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),20.3,1356.3,No
230
+ 5198-EFNBM,Male,1,Yes,No,57,Yes,No,Fiber optic,No,Yes,Yes,No,Yes,No,One year,Yes,Electronic check,90.65,5199.8,No
231
+ 3808-HFKDE,Female,0,No,No,20,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,44.35,927.15,No
232
+ 5747-PMBSQ,Male,1,Yes,No,10,Yes,No,Fiber optic,No,Yes,Yes,Yes,Yes,No,Month-to-month,Yes,Mailed check,92.5,934.1,Yes
233
+ 8007-YYPWD,Female,0,No,No,15,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),25.05,369.1,No
234
+ 3148-BLQJT,Male,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.1,20.1,Yes
235
+ 4500-HKANN,Male,0,Yes,Yes,23,Yes,Yes,DSL,No,Yes,No,Yes,No,No,Two year,No,Mailed check,59.7,1414.2,No
236
+ 7315-WYOAW,Male,0,No,No,13,Yes,Yes,Fiber optic,No,No,No,Yes,Yes,Yes,Month-to-month,No,Electronic check,100.75,1313.25,No
237
+ 5846-QFDFI,Female,0,Yes,Yes,33,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,No,No,Month-to-month,No,Credit card (automatic),88.6,2888.7,No
238
+ 6360-SVNWV,Female,1,No,No,31,Yes,No,Fiber optic,Yes,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),73.55,2094.65,No
239
+ 1575-KRZZE,Female,0,No,No,4,Yes,No,DSL,Yes,Yes,No,No,No,No,Month-to-month,No,Electronic check,55.2,220.65,No
240
+ 1746-TGTWV,Male,0,Yes,No,1,Yes,No,Fiber optic,No,No,Yes,No,No,No,Month-to-month,No,Credit card (automatic),75.35,75.35,No
241
+ 6067-NGCEU,Female,0,No,No,65,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),111.05,7107,No
242
+ 1265-BCFEO,Female,0,Yes,No,71,Yes,Yes,DSL,No,No,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),80.45,5662.25,No
243
+ 8380-PEFPE,Male,0,No,Yes,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,71.65,71.65,Yes
244
+ 4659-NZRUF,Female,0,No,No,19,Yes,Yes,Fiber optic,Yes,Yes,No,No,No,Yes,Month-to-month,Yes,Electronic check,95.15,1789.25,Yes
245
+ 7608-RGIRO,Male,0,No,Yes,62,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,24.4,1413,No
246
+ 2830-LEWOA,Male,0,Yes,Yes,61,Yes,No,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,One year,No,Credit card (automatic),103.9,6449.15,No
247
+ 3097-NNSPB,Female,0,No,No,2,Yes,No,DSL,No,Yes,No,No,No,No,Month-to-month,Yes,Credit card (automatic),49.05,91.1,Yes
248
+ 1925-GMVBW,Female,0,No,No,5,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Credit card (automatic),20.55,96.1,No
249
+ 1061-PNTHC,Female,0,Yes,Yes,56,Yes,Yes,Fiber optic,Yes,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Mailed check,109.6,5953,No
250
+ 7602-DBTOU,Female,0,Yes,No,71,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,19.6,1416.5,No
251
+ 4529-CKBCL,Female,0,No,No,2,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,80.2,146.05,Yes
252
+ 7964-ZRKKG,Male,0,Yes,No,67,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,No,One year,Yes,Bank transfer (automatic),88.4,5798.3,No
253
+ 1685-BQULA,Female,0,No,No,40,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,No,Month-to-month,Yes,Bank transfer (automatic),93.4,3756.4,No
254
+ 2607-FBDFF,Male,0,No,No,1,Yes,No,DSL,No,No,No,Yes,No,No,Month-to-month,No,Credit card (automatic),49.0,49,No
255
+ 5158-RIVOP,Female,0,Yes,Yes,11,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),20.9,202.3,No
256
+ 7765-LWVVH,Female,0,Yes,Yes,72,Yes,Yes,Fiber optic,Yes,Yes,No,No,Yes,No,Two year,Yes,Electronic check,95.1,6843.15,No
257
+ 8630-FJLIB,Female,0,No,No,18,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,69.8,1221.65,No
258
+ 2868-LLSKM,Female,0,Yes,Yes,68,Yes,Yes,Fiber optic,No,Yes,No,Yes,No,No,One year,Yes,Bank transfer (automatic),83.65,5733.4,No
259
+ 4854-CIDCF,Female,1,No,No,3,Yes,No,Fiber optic,No,No,Yes,No,No,No,Month-to-month,No,Electronic check,73.85,196.4,No
260
+ 7008-LZVOZ,Male,0,Yes,Yes,66,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Credit card (automatic),25.3,1672.35,No
261
+ 1241-FPMOF,Male,0,No,No,52,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,19.65,1025.05,No
262
+ 7549-MYGPK,Female,0,Yes,Yes,63,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,No,Month-to-month,Yes,Electronic check,100.55,6215.35,Yes
263
+ 8496-EJAUI,Male,0,No,No,19,Yes,No,Fiber optic,No,Yes,No,No,No,No,Month-to-month,Yes,Credit card (automatic),73.85,1424.5,Yes
264
+ 6086-ESGRL,Female,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,No,Credit card (automatic),80.15,80.15,Yes
265
+ 9330-DHBFL,Female,0,Yes,Yes,23,Yes,No,DSL,Yes,Yes,Yes,Yes,No,No,One year,Yes,Mailed check,66.25,1533.8,No
266
+ 0980-PVMRC,Female,0,Yes,Yes,40,No,No phone service,DSL,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,50.85,2036.55,No
267
+ 2498-XLDZR,Female,0,Yes,Yes,32,Yes,No,DSL,Yes,Yes,Yes,Yes,No,Yes,Two year,No,Mailed check,73.6,2316.85,No
268
+ 9878-TNQGW,Male,0,No,No,2,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,80.95,171.15,Yes
269
+ 2514-GINMM,Male,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,79.5,79.5,Yes
270
+ 7182-OVLBJ,Female,0,Yes,Yes,62,Yes,Yes,Fiber optic,Yes,No,No,No,Yes,Yes,Two year,Yes,Bank transfer (automatic),101.15,6638.35,No
271
+ 5366-IJEQJ,Male,0,No,No,20,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,No,Month-to-month,Yes,Electronic check,88.7,1761.45,Yes
272
+ 4957-TREIR,Male,0,No,No,3,Yes,No,DSL,Yes,No,No,Yes,Yes,No,Month-to-month,Yes,Credit card (automatic),64.4,195.65,No
273
+ 6689-TCZHQ,Female,1,No,No,5,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,No,Electronic check,78.95,378.4,Yes
274
+ 8232-CTLKO,Female,0,Yes,Yes,66,Yes,No,DSL,Yes,No,No,No,Yes,No,Two year,Yes,Electronic check,59.75,3996.8,No
275
+ 1173-NOEYG,Female,0,Yes,No,27,Yes,Yes,Fiber optic,No,No,Yes,No,No,Yes,Month-to-month,No,Bank transfer (automatic),90.15,2423.4,No
276
+ 8780-IHCRN,Male,0,Yes,Yes,63,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),24.65,1574.5,No
277
+ 7762-ONLJY,Female,0,Yes,Yes,6,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,19.7,94.45,No
278
+ 9388-ZEYVT,Male,0,No,No,43,No,No phone service,DSL,No,No,Yes,Yes,No,Yes,One year,No,Electronic check,44.15,1931.3,No
279
+ 3440-JPSCL,Female,0,No,No,6,Yes,No,Fiber optic,No,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Mailed check,99.95,547.65,Yes
280
+ 8740-XLHDR,Male,0,No,No,5,No,No phone service,DSL,Yes,Yes,Yes,Yes,No,No,Month-to-month,Yes,Mailed check,43.25,219,Yes
281
+ 3623-FQBOX,Male,0,No,No,21,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,19.95,416.4,No
282
+ 9289-LBQVU,Male,0,Yes,No,64,Yes,Yes,DSL,No,Yes,No,Yes,No,Yes,One year,Yes,Mailed check,70.15,4480.7,No
283
+ 8952-WCVCD,Female,0,Yes,No,41,Yes,No,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,One year,Yes,Bank transfer (automatic),104.45,4162.05,No
284
+ 1178-PZGAB,Female,0,No,No,19,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Credit card (automatic),20.25,383.65,No
285
+ 1704-NRWYE,Female,1,No,No,9,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,80.85,751.65,Yes
286
+ 7519-JTWQH,Female,0,No,No,69,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),110.5,7455.45,No
287
+ 4396-KLSEH,Male,0,No,No,4,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Electronic check,19.85,63,No
288
+ 5003-OKNNK,Female,0,Yes,Yes,15,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Credit card (automatic),20.35,335.95,No
289
+ 1698-XFZCI,Male,0,No,No,61,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,One year,Yes,Electronic check,107.75,6521.9,No
290
+ 1841-YSJGV,Male,0,Yes,No,72,Yes,Yes,Fiber optic,Yes,Yes,No,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),109.95,7852.4,No
291
+ 6168-YBYNP,Male,0,No,No,59,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,111.35,6519.75,No
292
+ 6904-JLBGY,Female,1,No,No,72,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),117.35,8436.25,No
293
+ 2799-TSLAG,Female,0,Yes,Yes,65,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Bank transfer (automatic),25.3,1748.55,No
294
+ 0562-HKHML,Male,0,Yes,Yes,71,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),23.9,1626.4,No
295
+ 1621-YNCJH,Female,0,Yes,No,36,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,No,Yes,Two year,Yes,Credit card (automatic),106.05,3834.4,No
296
+ 9242-TKFSV,Male,0,Yes,Yes,72,No,No phone service,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),65.1,4754.3,No
297
+ 1494-EJZDW,Female,0,Yes,Yes,10,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,20.15,220.8,No
298
+ 1730-ZMAME,Female,1,No,No,32,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,79.5,2665,No
299
+ 6980-CDGFC,Female,0,Yes,No,67,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Bank transfer (automatic),20.85,1327.4,No
300
+ 8606-OEGQZ,Female,0,No,Yes,18,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),25.3,454.65,No
301
+ 7682-AZNDK,Male,0,Yes,Yes,34,Yes,No,Fiber optic,No,Yes,Yes,No,Yes,No,Month-to-month,Yes,Electronic check,89.85,3091.75,No
302
+ 0880-FVFWF,Male,0,No,No,56,Yes,Yes,Fiber optic,Yes,Yes,No,No,No,No,Month-to-month,Yes,Electronic check,86.4,4922.4,No
303
+ 0970-QXPXW,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.65,19.65,No
304
+ 3211-ILJTT,Male,0,Yes,No,17,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),70.4,1214.05,Yes
305
+ 3249-VHRIP,Female,0,No,No,62,No,No phone service,DSL,No,Yes,Yes,No,No,Yes,Two year,Yes,Credit card (automatic),43.6,2748.7,No
306
+ 3935-TBRZZ,Male,0,Yes,Yes,44,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,25.7,1110.5,No
307
+ 7124-UGSUR,Female,1,Yes,No,61,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,One year,Yes,Credit card (automatic),104.4,6405,Yes
308
+ 4032-RMHCI,Female,0,Yes,Yes,41,No,No phone service,DSL,Yes,No,Yes,No,No,No,One year,No,Credit card (automatic),35.4,1412.4,No
309
+ 6583-SZVGP,Male,0,No,No,48,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,Two year,Yes,Bank transfer (automatic),108.1,5067.45,No
310
+ 6349-JDHQP,Female,0,No,No,53,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),19.85,1049.6,No
311
+ 8212-CRQXP,Female,0,Yes,No,22,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Credit card (automatic),80.0,1706.45,No
312
+ 9874-QLCLH,Female,0,Yes,Yes,17,Yes,Yes,Fiber optic,Yes,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,104.2,1743.5,Yes
313
+ 7594-LZNWR,Male,1,No,No,34,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,No,Credit card (automatic),69.15,2275.1,No
314
+ 4458-KVRBJ,Male,0,No,No,59,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,25.0,1510.5,No
315
+ 4781-ZXYGU,Male,0,Yes,Yes,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Bank transfer (automatic),20.15,20.15,No
316
+ 9786-YWNHU,Female,0,Yes,Yes,63,Yes,No,DSL,Yes,Yes,Yes,Yes,No,No,Two year,No,Mailed check,63.55,4014.2,No
317
+ 7825-ECJRF,Female,0,No,No,19,Yes,No,Fiber optic,Yes,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,106.6,1934.45,Yes
318
+ 2883-ILGWO,Male,1,No,No,57,Yes,Yes,Fiber optic,No,Yes,No,Yes,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),104.9,5913.95,No
319
+ 6198-RTPMF,Female,0,Yes,No,17,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,No,Electronic check,92.6,1579.7,No
320
+ 6502-HCJTI,Male,1,Yes,No,7,Yes,Yes,Fiber optic,Yes,Yes,No,No,No,Yes,Month-to-month,Yes,Credit card (automatic),94.7,673.1,Yes
321
+ 8393-JMVMB,Male,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.45,19.45,No
322
+ 5160-UXJED,Male,0,No,Yes,17,Yes,No,DSL,No,No,No,No,No,No,One year,No,Mailed check,44.6,681.4,No
323
+ 4445-KWOKW,Female,0,No,No,42,Yes,Yes,DSL,Yes,Yes,No,No,No,No,One year,Yes,Bank transfer (automatic),60.15,2421.6,No
324
+ 9824-BEMCV,Male,0,Yes,Yes,17,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,69.0,1149.65,Yes
325
+ 2321-OMBXY,Female,0,Yes,Yes,38,Yes,No,DSL,Yes,Yes,No,Yes,Yes,Yes,One year,No,Credit card (automatic),80.3,3058.65,Yes
326
+ 8963-JLGJT,Male,0,No,Yes,3,Yes,No,DSL,Yes,No,Yes,No,No,No,Month-to-month,No,Mailed check,55.9,157.55,No
327
+ 9576-ANLXO,Female,0,No,No,3,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),69.55,222.3,Yes
328
+ 3422-WJOYD,Male,0,Yes,No,28,Yes,No,DSL,Yes,No,No,Yes,No,No,One year,No,Mailed check,54.35,1426.45,No
329
+ 0264-CNITK,Female,0,Yes,Yes,71,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.1,1389.6,No
330
+ 9763-GRSKD,Male,0,Yes,Yes,13,Yes,No,DSL,Yes,No,No,No,No,No,Month-to-month,Yes,Mailed check,49.95,587.45,No
331
+ 6152-ONASV,Female,0,Yes,No,68,Yes,Yes,DSL,Yes,No,No,Yes,No,No,One year,No,Bank transfer (automatic),58.25,3975.7,No
332
+ 3254-YRILK,Male,1,No,No,19,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,No,Month-to-month,Yes,Electronic check,88.2,1775.8,Yes
333
+ 0365-GXEZS,Male,0,Yes,No,18,Yes,No,Fiber optic,No,No,Yes,Yes,No,No,Month-to-month,No,Electronic check,78.2,1468.75,No
334
+ 6418-HNFED,Male,0,Yes,No,51,Yes,No,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),83.25,4089.45,No
335
+ 7354-OIJLX,Male,0,No,No,9,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,75.85,724.65,No
336
+ 2971-SGAFL,Female,0,No,No,13,Yes,Yes,DSL,Yes,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,78.75,995.35,No
337
+ 9408-HRXRK,Female,0,Yes,Yes,45,Yes,Yes,Fiber optic,Yes,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,105.15,4730.9,No
338
+ 3174-AKMAS,Female,0,Yes,No,46,Yes,No,DSL,No,Yes,No,Yes,Yes,No,Two year,Yes,Credit card (automatic),64.2,3009.5,No
339
+ 5196-WPYOW,Male,0,Yes,Yes,67,Yes,No,DSL,Yes,Yes,No,Yes,No,No,One year,No,Mailed check,60.05,3994.05,No
340
+ 4350-ZTLPI,Female,0,Yes,No,53,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,One year,Yes,Bank transfer (automatic),108.95,5718.2,No
341
+ 2805-AUFQN,Female,0,No,No,25,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),19.8,475.2,No
342
+ 0655-RBDUG,Male,0,No,No,7,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),98.05,713,Yes
343
+ 8041-TMEID,Male,1,Yes,No,63,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,Two year,No,Credit card (automatic),108.5,6991.9,No
344
+ 5687-DKDTV,Female,0,No,No,4,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.35,77.5,Yes
345
+ 5481-NTDOH,Female,1,Yes,No,67,Yes,Yes,Fiber optic,Yes,No,Yes,No,Yes,Yes,One year,Yes,Credit card (automatic),107.05,7142.5,No
346
+ 7989-VCQOH,Male,0,Yes,Yes,18,Yes,No,DSL,Yes,No,Yes,Yes,Yes,Yes,Month-to-month,No,Electronic check,83.25,1611.15,No
347
+ 8313-NDOIA,Female,0,No,No,24,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,104.15,2494.65,No
348
+ 8374-XGEJJ,Male,1,Yes,No,43,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,101.0,4388.4,Yes
349
+ 1763-KUAAW,Female,1,No,No,18,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Bank transfer (automatic),20.35,369.6,No
350
+ 4010-YLMVT,Female,0,No,No,56,Yes,Yes,Fiber optic,Yes,Yes,No,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),106.6,5893.95,No
351
+ 5117-ZSMHQ,Female,0,Yes,Yes,71,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),89.9,6342.7,No
352
+ 4878-BUNFV,Male,0,Yes,Yes,42,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,20.7,828.85,No
353
+ 9027-YFHQJ,Male,0,No,No,7,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Bank transfer (automatic),25.05,152.95,No
354
+ 9711-FJTBX,Male,0,Yes,Yes,56,Yes,No,Fiber optic,No,Yes,Yes,Yes,No,No,One year,Yes,Mailed check,85.85,4793.8,No
355
+ 0772-GYEQQ,Male,0,No,No,3,Yes,No,Fiber optic,No,No,Yes,Yes,Yes,No,Month-to-month,Yes,Mailed check,88.35,262.05,Yes
356
+ 6142-VSJQO,Female,0,Yes,Yes,1,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),44.35,44.35,Yes
357
+ 2018-QKYGT,Male,0,Yes,Yes,1,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,81.05,81.05,No
358
+ 1028-FFNJK,Male,1,Yes,No,30,Yes,Yes,Fiber optic,No,No,No,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,101.5,2917.65,No
359
+ 8812-ZRHFP,Female,0,Yes,Yes,30,Yes,No,Fiber optic,No,No,Yes,No,No,Yes,One year,No,Electronic check,86.45,2538.05,No
360
+ 7156-MXBJE,Female,0,No,No,43,Yes,Yes,DSL,No,Yes,Yes,Yes,Yes,Yes,One year,No,Credit card (automatic),85.1,3662.25,No
361
+ 7722-CVFXN,Male,0,Yes,Yes,54,Yes,Yes,Fiber optic,No,Yes,No,Yes,Yes,Yes,One year,Yes,Electronic check,105.2,5637.85,No
362
+ 8999-BOHSE,Female,1,No,No,11,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,No,Bank transfer (automatic),89.7,1047.7,Yes
363
+ 4933-IKULF,Female,1,No,No,17,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,20.65,330.6,No
364
+ 0842-IWYCP,Female,0,No,No,46,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,No,Bank transfer (automatic),44.95,2168.9,No
365
+ 8042-RNLKO,Male,0,No,No,66,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Bank transfer (automatic),25.45,1699.15,No
366
+ 8873-GLDMH,Female,0,No,No,6,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Mailed check,73.85,401.3,No
367
+ 1965-AKTSX,Female,1,No,No,14,Yes,Yes,Fiber optic,No,Yes,No,No,No,No,Month-to-month,Yes,Electronic check,78.95,1101.85,Yes
368
+ 9585-KKMFD,Male,0,Yes,Yes,41,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,20.0,879.8,No
369
+ 3745-HRPHI,Male,0,Yes,Yes,66,No,No phone service,DSL,No,No,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),54.65,3632,No
370
+ 6688-UZPWD,Female,0,Yes,No,11,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,102.0,1145.35,Yes
371
+ 6357-JJPQT,Female,0,No,No,3,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,80.5,232.35,No
372
+ 9178-JHUVJ,Male,0,Yes,Yes,24,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Bank transfer (automatic),24.1,587.4,No
373
+ 6752-APNJL,Male,0,Yes,Yes,42,Yes,No,DSL,Yes,Yes,No,No,No,No,Month-to-month,No,Mailed check,54.5,2301.15,No
374
+ 5386-THSLQ,Female,1,Yes,No,66,No,No phone service,DSL,No,Yes,Yes,No,Yes,No,One year,No,Bank transfer (automatic),45.55,3027.25,No
375
+ 8224-DWCKX,Male,1,No,No,12,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),73.3,828.05,No
376
+ 7024-OHCCK,Female,1,No,No,2,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,93.85,170.85,Yes
377
+ 5307-UVGNB,Female,0,Yes,Yes,53,No,No phone service,DSL,Yes,Yes,Yes,No,No,Yes,Month-to-month,Yes,Bank transfer (automatic),48.7,2495.2,No
378
+ 6954-OOYZZ,Male,0,Yes,No,18,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),44.35,768.05,No
379
+ 2332-EFBJY,Male,0,No,No,16,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,19.7,342.4,Yes
380
+ 1216-BGTSP,Male,0,No,No,45,Yes,Yes,Fiber optic,Yes,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Credit card (automatic),108.45,4964.7,No
381
+ 7599-NTMDP,Female,0,Yes,Yes,62,No,No phone service,DSL,Yes,Yes,No,Yes,Yes,No,Two year,No,Bank transfer (automatic),48.7,3008.55,No
382
+ 1935-IMVBB,Male,0,Yes,No,56,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,No,Mailed check,89.7,4952.95,No
383
+ 5696-JVVQY,Female,0,Yes,Yes,48,Yes,No,DSL,Yes,Yes,Yes,No,No,Yes,Two year,Yes,Credit card (automatic),70.1,3238.4,No
384
+ 2519-LBNQL,Male,1,Yes,No,60,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,One year,Yes,Electronic check,104.35,6339.45,No
385
+ 4808-YNLEU,Female,0,Yes,No,35,Yes,No,DSL,Yes,No,No,No,Yes,No,One year,Yes,Bank transfer (automatic),62.15,2215.45,No
386
+ 0587-DMGBH,Female,0,No,No,8,Yes,No,DSL,Yes,No,No,No,No,No,Month-to-month,Yes,Electronic check,49.85,365.55,Yes
387
+ 1761-AEZZR,Male,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,79.55,79.55,Yes
388
+ 5995-OIGLP,Male,0,No,No,12,Yes,No,DSL,Yes,No,No,Yes,No,No,Month-to-month,No,Mailed check,56.65,654.85,Yes
389
+ 2720-FVBQP,Female,0,Yes,Yes,6,Yes,Yes,DSL,No,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),48.95,273.25,No
390
+ 4926-UMJZD,Female,0,Yes,No,31,Yes,No,DSL,No,No,No,Yes,No,No,Month-to-month,Yes,Mailed check,49.2,1498.55,No
391
+ 5377-NDTOU,Female,0,Yes,Yes,71,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,No,Mailed check,91.05,6293.75,No
392
+ 2522-WLNSF,Female,1,Yes,No,34,Yes,No,DSL,No,No,Yes,Yes,Yes,No,One year,No,Bank transfer (automatic),64.2,2106.3,No
393
+ 4324-AHJKS,Female,0,No,No,5,Yes,No,DSL,Yes,No,Yes,No,No,No,Month-to-month,No,Credit card (automatic),55.8,300.4,No
394
+ 0130-SXOUN,Male,0,No,No,66,Yes,Yes,Fiber optic,No,Yes,No,No,No,Yes,Month-to-month,No,Credit card (automatic),89.4,5976.9,No
395
+ 9462-MJUAW,Male,0,No,No,4,Yes,Yes,DSL,No,No,No,No,No,No,Month-to-month,No,Mailed check,50.4,206.6,Yes
396
+ 7594-RQHXR,Female,0,No,Yes,1,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,79.6,79.6,Yes
397
+ 1766-GKNMI,Male,0,No,No,29,Yes,Yes,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,84.9,2516.2,No
398
+ 8191-XWSZG,Female,0,No,No,52,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,20.65,1022.95,No
399
+ 1919-RTPQD,Male,0,Yes,Yes,7,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,No,Electronic check,44.75,333.65,No
400
+ 7963-GQRMY,Female,0,Yes,Yes,3,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,No,Mailed check,44.3,134.5,Yes
401
+ 5917-RYRMG,Male,1,No,No,32,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Credit card (automatic),19.8,587.7,No
402
+ 9229-RQABD,Male,0,No,No,18,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,23.75,424.5,No
403
+ 6897-UUBNU,Male,0,No,No,29,Yes,No,Fiber optic,No,Yes,No,Yes,Yes,No,Month-to-month,No,Mailed check,89.65,2623.65,No
404
+ 2325-ZUSFD,Female,0,Yes,Yes,57,Yes,No,DSL,Yes,No,No,No,Yes,Yes,One year,Yes,Bank transfer (automatic),70.1,3913.3,Yes
405
+ 4510-HIMLV,Male,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,69.8,69.8,Yes
406
+ 6121-VZNQB,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,19.1,19.1,Yes
407
+ 2642-MAWLJ,Female,0,Yes,Yes,36,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.25,717.95,No
408
+ 4546-FOKWR,Female,0,No,No,16,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),74.75,1129.35,No
409
+ 4186-ZBUEW,Female,0,No,No,36,Yes,Yes,DSL,No,Yes,No,Yes,No,Yes,One year,Yes,Mailed check,70.7,2511.95,No
410
+ 9897-KXHCM,Female,0,Yes,Yes,3,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,80.3,250.05,Yes
411
+ 7167-PCEYD,Male,0,No,No,67,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,19.8,1311.3,No
412
+ 6400-BWQKW,Female,0,No,No,6,Yes,Yes,Fiber optic,Yes,No,No,No,No,No,Month-to-month,Yes,Electronic check,79.05,434.5,Yes
413
+ 4003-FUSHP,Male,0,No,No,19,Yes,No,DSL,No,No,No,Yes,Yes,No,Month-to-month,Yes,Credit card (automatic),61.55,1093.2,No
414
+ 4597-NUCQV,Male,1,No,No,24,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,101.25,2440.15,Yes
415
+ 7511-YMXVQ,Male,0,No,No,9,No,No phone service,DSL,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,45.4,418.8,Yes
416
+ 0487-CRLZF,Female,0,No,No,49,Yes,No,DSL,No,No,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),74.45,3721.9,No
417
+ 1716-LSAMB,Male,0,Yes,Yes,45,Yes,No,DSL,Yes,No,No,Yes,No,No,Two year,No,Bank transfer (automatic),54.65,2553.7,No
418
+ 6765-MBQNU,Female,0,Yes,No,26,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,26.0,684.05,No
419
+ 8929-KSWIH,Male,0,No,No,25,Yes,No,Fiber optic,No,No,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),99.3,2513.5,No
420
+ 5961-VUSRV,Female,0,No,No,12,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Bank transfer (automatic),19.35,219.35,No
421
+ 0058-EVZWM,Female,0,Yes,No,55,Yes,Yes,Fiber optic,Yes,No,No,No,Yes,No,Month-to-month,Yes,Bank transfer (automatic),89.8,4959.6,No
422
+ 8413-VONUO,Male,0,No,No,2,Yes,No,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,No,Electronic check,95.65,167.3,Yes
423
+ 3518-FSTWG,Male,1,Yes,No,72,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,Two year,Yes,Bank transfer (automatic),109.55,7920.7,No
424
+ 6738-ISCBM,Male,0,No,No,44,No,No phone service,DSL,Yes,No,Yes,No,Yes,Yes,One year,Yes,Electronic check,54.0,2440.25,No
425
+ 3016-KSVCP,Male,0,Yes,No,29,No,No phone service,DSL,No,No,No,No,Yes,No,Month-to-month,No,Mailed check,33.75,1009.25,No
426
+ 6080-LNESI,Male,0,No,No,51,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,24.75,1234.6,No
427
+ 8519-QJGJD,Female,0,No,No,14,Yes,No,Fiber optic,No,No,Yes,No,No,No,Month-to-month,No,Electronic check,75.35,1025.95,Yes
428
+ 6521-YYTYI,Male,0,No,Yes,1,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,93.3,93.3,Yes
429
+ 7463-IFMQU,Female,0,Yes,No,72,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.05,1423.65,No
430
+ 7808-DVWEP,Male,0,Yes,No,3,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Bank transfer (automatic),20.0,49.65,No
431
+ 0516-QREYC,Female,1,No,No,24,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,20.3,459.95,No
432
+ 7590-VHVEG,Female,0,Yes,No,1,No,No phone service,DSL,No,Yes,No,No,No,No,Month-to-month,Yes,Electronic check,29.85,29.85,No
433
+ 6388-TABGU,Male,0,No,Yes,62,Yes,No,DSL,Yes,Yes,No,No,No,No,One year,No,Bank transfer (automatic),56.15,3487.95,No
434
+ 9677-AVKED,Female,0,No,Yes,53,Yes,Yes,DSL,No,Yes,Yes,Yes,Yes,Yes,One year,Yes,Electronic check,84.6,4449.75,No
435
+ 9798-OPFEM,Female,0,No,No,46,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Electronic check,21.1,937.1,No
436
+ 5384-ZTTWP,Female,0,Yes,Yes,15,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.8,272.95,No
437
+ 6137-NICCO,Female,0,Yes,Yes,6,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,No,Month-to-month,Yes,Mailed check,94.05,518.75,No
438
+ 1024-KPRBB,Female,0,No,No,38,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,One year,Yes,Mailed check,89.1,3342,No
439
+ 3133-PZNSR,Male,0,Yes,Yes,72,Yes,Yes,Fiber optic,Yes,Yes,No,Yes,No,Yes,Two year,Yes,Credit card (automatic),97.75,6991.6,No
440
+ 6244-BESBM,Male,0,Yes,Yes,69,Yes,No,Fiber optic,No,No,No,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),95.2,6671.7,No
441
+ 1004-NOZNR,Male,1,No,Yes,56,Yes,No,Fiber optic,Yes,No,No,No,Yes,Yes,One year,No,Credit card (automatic),94.8,5264.3,No
442
+ 2225-ZRGSG,Female,0,Yes,Yes,70,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,No,No,Two year,No,Bank transfer (automatic),93.9,6579.05,Yes
443
+ 0508-SQWPL,Female,0,Yes,Yes,57,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Bank transfer (automatic),20.1,1087.7,No
444
+ 5171-EPLKN,Male,0,No,No,27,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),19.85,470,No
445
+ 6439-LAJXL,Male,0,Yes,No,9,Yes,No,DSL,Yes,Yes,No,Yes,Yes,No,Month-to-month,Yes,Mailed check,68.95,593.85,No
446
+ 0168-XZKBB,Female,0,Yes,No,19,Yes,Yes,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,86.85,1564.4,No
447
+ 3279-DYZQM,Male,0,Yes,Yes,71,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,19.45,1378.45,No
448
+ 6064-PUPMC,Male,0,Yes,Yes,23,Yes,No,DSL,Yes,No,No,Yes,No,No,One year,No,Credit card (automatic),57.2,1423.35,No
449
+ 6870-ZWMNX,Male,0,Yes,No,70,Yes,Yes,DSL,No,Yes,Yes,Yes,Yes,No,Two year,No,Credit card (automatic),76.1,5264.25,No
450
+ 6942-LBFDP,Female,0,No,No,2,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,20.55,33.6,No
451
+ 4174-LPGTI,Female,0,Yes,Yes,41,Yes,No,DSL,No,Yes,No,Yes,No,Yes,One year,Yes,Bank transfer (automatic),66.5,2728.6,Yes
452
+ 8780-IXSTS,Female,0,No,No,6,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,No,Month-to-month,Yes,Electronic check,90.1,521.3,Yes
453
+ 4598-ZADCK,Female,0,No,No,53,No,No phone service,DSL,Yes,Yes,Yes,Yes,Yes,No,One year,Yes,Electronic check,53.6,2879.2,No
454
+ 3191-CSNMG,Female,0,Yes,Yes,3,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,80.7,239.45,No
455
+ 5549-ZGHFB,Male,0,Yes,Yes,50,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,24.95,1261.45,No
456
+ 3799-ISUZQ,Male,0,Yes,Yes,7,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),69.95,529.5,Yes
457
+ 5117-IFGPS,Male,1,Yes,No,29,Yes,Yes,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,84.3,2357.75,No
458
+ 4210-QFJMF,Female,0,No,No,4,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,79.15,317.25,Yes
459
+ 7739-LAXOG,Female,0,Yes,Yes,32,Yes,Yes,Fiber optic,No,No,Yes,No,No,Yes,Month-to-month,Yes,Bank transfer (automatic),91.05,2954.5,Yes
460
+ 5243-SAOTC,Male,0,No,No,54,Yes,Yes,Fiber optic,No,Yes,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),79.85,4308.25,No
461
+ 9081-WWXKP,Female,0,Yes,Yes,47,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),20.25,873.4,No
462
+ 2074-GKOWZ,Male,0,Yes,Yes,2,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),89.55,185.55,Yes
463
+ 1409-PHXTF,Male,1,Yes,No,54,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Electronic check,110.45,6077.75,No
464
+ 9300-RENDD,Male,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,79.95,79.95,Yes
465
+ 9828-QHFBK,Male,0,No,No,24,Yes,No,DSL,Yes,No,No,No,No,No,Month-to-month,Yes,Electronic check,51.15,1275.7,No
466
+ 0274-JKUJR,Male,0,Yes,Yes,7,No,No phone service,DSL,Yes,Yes,Yes,No,Yes,Yes,Month-to-month,No,Mailed check,58.85,465.7,No
467
+ 0847-HGRML,Male,0,No,Yes,62,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.0,1250.1,No
468
+ 0289-IVARM,Female,0,No,No,35,Yes,No,DSL,Yes,Yes,Yes,No,No,No,Month-to-month,No,Electronic check,60.55,1982.6,No
469
+ 2957-LOLHO,Male,0,No,No,12,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),45.4,518.9,Yes
470
+ 3511-APPBJ,Male,0,No,No,23,Yes,No,Fiber optic,Yes,No,Yes,No,Yes,Yes,One year,Yes,Credit card (automatic),99.95,2292.75,No
471
+ 6326-MTTXK,Male,0,No,No,8,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,No,Electronic check,100.85,819.55,Yes
472
+ 1025-FALIX,Female,0,No,No,26,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),69.05,1815.65,No
473
+ 2683-BPJSO,Male,0,Yes,No,29,Yes,Yes,Fiber optic,Yes,Yes,No,No,No,No,Month-to-month,Yes,Electronic check,84.45,2467.1,Yes
474
+ 2226-ICFDO,Female,0,Yes,Yes,72,Yes,Yes,DSL,Yes,No,Yes,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),85.9,6110.75,No
475
+ 0898-XCGTF,Male,0,Yes,No,61,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,One year,Yes,Bank transfer (automatic),96.5,5673.7,No
476
+ 0827-ITJPH,Male,0,No,No,36,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Credit card (automatic),18.55,689,No
477
+ 6968-URWQU,Male,0,Yes,No,43,Yes,No,DSL,No,No,No,No,Yes,No,One year,Yes,Mailed check,56.35,2391.15,No
478
+ 7493-GVFIO,Male,0,No,No,57,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),20.55,1252.85,No
479
+ 2929-ERCFZ,Female,0,Yes,Yes,8,Yes,No,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,94.2,777.3,Yes
480
+ 2612-PHGOX,Male,0,Yes,No,64,Yes,Yes,DSL,No,Yes,Yes,Yes,Yes,No,Two year,Yes,Bank transfer (automatic),76.1,4818.8,No
481
+ 0186-CAERR,Male,0,No,No,71,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,Yes,Yes,One year,Yes,Bank transfer (automatic),116.3,8309.55,No
482
+ 2958-NHPPS,Male,0,No,No,23,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Electronic check,20.85,473.9,No
483
+ 7994-UYIVZ,Male,0,Yes,No,8,Yes,Yes,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Bank transfer (automatic),85.65,659.45,No
484
+ 6227-HWPWX,Female,0,No,Yes,15,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,No,Bank transfer (automatic),69.0,994.8,Yes
485
+ 2987-BJXIK,Female,0,No,No,70,Yes,Yes,DSL,Yes,Yes,Yes,No,Yes,Yes,Two year,No,Mailed check,84.7,5991.05,No
486
+ 4223-BKEOR,Female,0,No,Yes,21,Yes,No,DSL,Yes,No,Yes,No,No,Yes,One year,No,Mailed check,64.85,1336.8,No
487
+ 3177-LASXD,Female,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,No,Electronic check,71.35,71.35,Yes
488
+ 6240-EURKS,Female,0,No,Yes,18,No,No phone service,DSL,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,35.0,553,Yes
489
+ 2930-UOTMB,Female,0,No,No,31,Yes,Yes,DSL,Yes,No,Yes,Yes,No,No,Month-to-month,No,Credit card (automatic),65.25,1994.3,Yes
490
+ 8443-WVPSS,Male,0,Yes,No,10,Yes,No,Fiber optic,No,Yes,No,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,99.85,990.9,Yes
491
+ 0178-SZBHO,Male,0,Yes,Yes,47,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,No,Month-to-month,No,Electronic check,87.2,4017.45,No
492
+ 7605-SNLQG,Female,0,Yes,No,45,Yes,No,DSL,No,No,Yes,No,No,No,Month-to-month,Yes,Credit card (automatic),50.25,2221.55,No
493
+ 7951-VRDVK,Female,0,No,No,36,Yes,No,DSL,Yes,Yes,Yes,Yes,Yes,Yes,One year,No,Bank transfer (automatic),85.85,3003.55,No
494
+ 9236-NDUCW,Female,0,No,No,21,No,No phone service,DSL,Yes,No,No,Yes,No,No,Two year,No,Mailed check,35.1,770.4,No
495
+ 8203-XJZRC,Male,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.25,20.25,No
496
+ 6974-DAFLI,Female,0,Yes,No,55,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Electronic check,19.7,1140.05,No
497
+ 1725-IQNIY,Male,0,Yes,No,54,Yes,No,Fiber optic,Yes,Yes,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),109.75,6110.2,Yes
498
+ 7253-UVNDW,Female,0,No,No,46,Yes,No,DSL,No,No,Yes,Yes,No,No,Two year,No,Credit card (automatic),54.35,2460.15,Yes
499
+ 6048-UWKAL,Female,1,Yes,No,69,Yes,Yes,Fiber optic,No,Yes,No,Yes,Yes,Yes,Two year,No,Credit card (automatic),105.4,6998.95,No
500
+ 4998-IKFSE,Female,0,No,No,30,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,No,Electronic check,100.45,3096.9,No
501
+ 5899-OUVKV,Male,0,No,No,31,Yes,No,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,94.5,2979.2,No
502
+ 3178-CIFOT,Female,0,No,No,23,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Credit card (automatic),19.65,478.1,No
503
+ 5149-CUZUJ,Male,0,Yes,Yes,28,Yes,No,Fiber optic,No,Yes,Yes,Yes,Yes,No,One year,No,Bank transfer (automatic),92.9,2768.35,No
504
+ 8469-SNFFH,Male,0,Yes,No,70,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,No,One year,No,Bank transfer (automatic),79.4,5528.9,No
505
+ 5052-PNLOS,Male,0,No,No,3,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),105.35,323.25,Yes
506
+ 9297-EONCV,Female,0,No,No,72,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),91.35,6697.2,No
507
+ 7401-JIXNM,Female,0,Yes,Yes,54,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,No,Credit card (automatic),91.3,4965,No
508
+ 7670-ZBPOQ,Female,0,Yes,No,58,Yes,Yes,DSL,Yes,No,No,Yes,No,No,One year,Yes,Bank transfer (automatic),61.05,3478.75,No
509
+ 6728-CZFEI,Female,0,No,No,15,Yes,No,DSL,No,No,No,No,Yes,No,One year,No,Mailed check,56.15,931.9,No
510
+ 2931-FSOHN,Male,1,No,No,13,Yes,No,DSL,No,Yes,No,No,Yes,No,Month-to-month,Yes,Electronic check,59.9,788.35,No
511
+ 2256-YLYLP,Male,0,Yes,Yes,68,Yes,No,DSL,No,No,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),72.95,4953.25,No
512
+ 7752-XUSCI,Female,0,No,No,60,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,105.9,6396.45,Yes
513
+ 8375-DKEBR,Female,1,No,No,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,69.6,69.6,Yes
514
+ 2123-VSCOT,Female,0,Yes,Yes,59,Yes,Yes,DSL,No,No,Yes,Yes,Yes,No,Two year,Yes,Bank transfer (automatic),72.1,4194.85,No
515
+ 1057-FOGLZ,Female,0,No,No,18,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.65,391.7,No
516
+ 2799-ARNLO,Female,1,Yes,No,5,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,69.35,341.6,No
517
+ 9867-JCZSP,Female,0,Yes,Yes,17,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,20.75,418.25,No
518
+ 3424-NMNBO,Male,1,Yes,No,58,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,One year,Yes,Electronic check,108.85,6287.25,Yes
519
+ 5469-NUJUR,Male,0,No,No,19,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,19.95,373.5,No
520
+ 1171-TYKUR,Male,0,Yes,No,47,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Electronic check,25.4,1139.2,No
521
+ 7831-QGOXH,Female,0,No,No,18,Yes,Yes,Fiber optic,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,85.2,1553.9,Yes
522
+ 2277-DJJDL,Male,1,Yes,No,60,Yes,Yes,Fiber optic,No,No,No,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,99.0,6017.9,No
523
+ 5498-TXHLF,Female,0,Yes,Yes,34,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,No,Month-to-month,No,Electronic check,87.45,2874.15,Yes
524
+ 2303-PJYHN,Female,0,Yes,No,2,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Bank transfer (automatic),19.85,52,No
525
+ 2002-MZHWP,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.5,20.5,Yes
526
+ 9530-GRMJG,Male,0,Yes,Yes,70,Yes,Yes,DSL,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Electronic check,84.1,5979.7,No
527
+ 6461-SZMCV,Female,0,Yes,No,71,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),87.95,6365.35,No
528
+ 0970-ETWGE,Male,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,89.55,89.55,Yes
529
+ 3039-MJSLN,Male,0,No,Yes,3,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Bank transfer (automatic),20.2,50.6,No
530
+ 5378-IKEEG,Female,0,No,No,1,No,No phone service,DSL,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,35.75,35.75,Yes
531
+ 8699-ASUFO,Male,1,Yes,No,7,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Mailed check,74.4,527.9,Yes
532
+ 8118-LSUEL,Male,1,No,No,23,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,106.4,2483.5,Yes
533
+ 2754-VDLTR,Male,0,No,Yes,10,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,No,Electronic check,95.2,930.4,Yes
534
+ 2876-VBBBL,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,20.25,20.25,Yes
535
+ 1702-CCFNJ,Male,0,Yes,No,52,Yes,Yes,DSL,No,Yes,No,Yes,No,No,Month-to-month,No,Bank transfer (automatic),61.35,3169.55,No
536
+ 0743-HRVFF,Female,0,Yes,Yes,51,No,No phone service,DSL,No,No,Yes,Yes,Yes,Yes,One year,Yes,Electronic check,56.15,2898.95,No
537
+ 6319-QSUSR,Female,0,No,Yes,11,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Credit card (automatic),19.7,216.2,No
538
+ 6518-LGAOV,Female,0,Yes,No,38,Yes,Yes,Fiber optic,No,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,105.0,4026.4,Yes
539
+ 5201-FRKKS,Male,0,No,No,25,Yes,No,Fiber optic,Yes,No,No,No,No,No,Month-to-month,No,Bank transfer (automatic),74.3,1952.25,No
540
+ 2105-PHWON,Female,0,Yes,No,33,Yes,Yes,Fiber optic,No,No,Yes,Yes,No,Yes,Month-to-month,Yes,Credit card (automatic),95.0,3008.15,No
541
+ 2592-YKDIF,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.35,20.35,No
542
+ 2172-EJXVF,Female,1,No,No,71,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,One year,Yes,Electronic check,105.9,7521.95,No
543
+ 4872-JCVCA,Female,0,Yes,No,71,No,No phone service,DSL,Yes,Yes,Yes,Yes,No,No,Two year,Yes,Bank transfer (automatic),47.6,3377.8,No
544
+ 9504-YAZWB,Female,0,No,No,53,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,20.25,1048.45,No
545
+ 1291-CUOCY,Male,0,Yes,No,72,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),110.6,7962.2,No
546
+ 5365-LLFYV,Female,0,No,No,2,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,Yes,Mailed check,45.85,105.6,No
547
+ 7157-SMCFK,Male,0,No,Yes,61,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,19.75,1124.2,No
548
+ 5656-MJEFC,Male,0,Yes,Yes,42,No,No phone service,DSL,Yes,No,Yes,Yes,Yes,No,Two year,No,Credit card (automatic),48.15,2032.3,No
549
+ 8749-JMNKX,Male,1,Yes,No,51,Yes,Yes,Fiber optic,Yes,No,Yes,No,Yes,No,Month-to-month,Yes,Bank transfer (automatic),93.8,4750.95,Yes
550
+ 2039-JONDJ,Male,0,No,No,27,Yes,No,DSL,Yes,Yes,No,No,No,No,One year,No,Bank transfer (automatic),55.45,1477.65,No
551
+ 2037-SGXHH,Male,0,Yes,Yes,38,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,No,Month-to-month,Yes,Electronic check,94.65,3624.3,Yes
552
+ 8207-DMRVL,Male,0,Yes,Yes,72,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,Yes,Yes,Two year,No,Bank transfer (automatic),114.55,8306.05,No
553
+ 5681-LLOEI,Male,0,Yes,Yes,43,Yes,Yes,Fiber optic,Yes,No,Yes,Yes,No,No,One year,Yes,Credit card (automatic),91.25,4013.8,No
554
+ 4430-UZIPO,Male,0,No,No,3,No,No phone service,DSL,No,Yes,No,Yes,No,No,Month-to-month,Yes,Mailed check,36.85,108.7,Yes
555
+ 3170-NMYVV,Female,0,Yes,Yes,50,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.15,930.9,No
556
+ 2038-LLMLM,Female,0,No,No,48,Yes,Yes,Fiber optic,No,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,103.85,4946.05,No
557
+ 6695-FRVEC,Male,0,Yes,Yes,67,Yes,No,DSL,Yes,No,Yes,Yes,No,No,Two year,Yes,Bank transfer (automatic),60.4,3953.7,No
558
+ 6982-SSHFK,Male,0,No,No,1,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,No,Mailed check,44.4,44.4,Yes
559
+ 6513-EECDB,Male,1,Yes,No,1,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,73.55,73.55,Yes
560
+ 6260-ONULR,Male,0,No,No,1,Yes,No,DSL,No,No,No,No,Yes,Yes,Month-to-month,Yes,Mailed check,62.8,62.8,No
561
+ 1930-BZLHI,Male,0,No,No,21,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Mailed check,20.35,422.7,No
562
+ 6624-JDRDS,Female,0,No,No,6,No,No phone service,DSL,Yes,No,No,No,No,No,Month-to-month,No,Bank transfer (automatic),29.45,161.45,No
563
+ 2230-XTUWL,Female,0,Yes,Yes,48,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,19.55,883.35,No
564
+ 4335-BSMJS,Female,0,No,No,62,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Credit card (automatic),25.8,1563.95,No
565
+ 8336-TAVKX,Female,1,Yes,No,72,Yes,Yes,DSL,Yes,Yes,Yes,Yes,No,Yes,Two year,No,Bank transfer (automatic),78.45,5682.25,No
566
+ 5845-BZZIB,Male,0,Yes,Yes,35,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,20.1,655.3,No
567
+ 0463-ZSDNT,Male,0,No,No,10,Yes,No,DSL,No,No,No,No,No,Yes,Month-to-month,Yes,Bank transfer (automatic),56.75,503.25,No
568
+ 4632-PAOYU,Male,0,Yes,Yes,22,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,19.95,433.5,No
569
+ 1751-NCDLI,Male,1,Yes,No,46,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,98.85,4564.9,No
570
+ 3474-BAFSJ,Male,0,Yes,No,57,No,No phone service,DSL,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),57.5,3265.95,No
571
+ 9057-MSWCO,Male,1,Yes,No,27,No,No phone service,DSL,Yes,No,No,No,No,No,Month-to-month,No,Credit card (automatic),30.75,805.1,Yes
572
+ 4994-OBRSZ,Male,0,No,Yes,14,Yes,No,DSL,Yes,Yes,Yes,Yes,No,Yes,Two year,No,Bank transfer (automatic),76.1,1054.8,No
573
+ 2450-ZKEED,Female,0,No,No,11,Yes,No,DSL,No,No,Yes,Yes,No,No,One year,No,Bank transfer (automatic),53.8,651.55,No
574
+ 3482-ABPKK,Female,0,No,No,28,Yes,No,DSL,Yes,No,No,Yes,No,No,One year,No,Mailed check,54.3,1546.3,No
575
+ 6933-VLYFX,Male,0,Yes,Yes,31,No,No phone service,DSL,Yes,No,Yes,Yes,Yes,Yes,One year,No,Electronic check,59.95,1848.8,No
576
+ 9031-ZVQPT,Male,0,Yes,No,72,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Electronic check,108.2,7840.6,No
577
+ 1080-BWSYE,Male,1,Yes,No,64,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),25.65,1740.8,No
578
+ 5266-PFRQK,Male,0,Yes,Yes,52,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Credit card (automatic),20.85,1071.6,No
579
+ 7998-WNZEM,Male,0,No,No,71,Yes,Yes,DSL,Yes,Yes,Yes,Yes,No,Yes,Two year,No,Bank transfer (automatic),80.6,5708.2,No
580
+ 9334-GWGOW,Male,1,Yes,No,7,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,74.85,485.25,No
581
+ 9822-OAOVB,Female,0,No,No,1,Yes,No,DSL,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,55.45,55.45,No
582
+ 5170-PTRKA,Female,0,Yes,Yes,49,No,No phone service,DSL,Yes,No,No,Yes,No,No,One year,Yes,Credit card (automatic),35.8,1782,No
583
+ 3282-ZISZV,Male,0,No,Yes,32,Yes,Yes,DSL,No,Yes,Yes,Yes,Yes,Yes,One year,No,Credit card (automatic),83.7,2633.3,No
584
+ 8138-EALND,Male,0,No,No,15,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.75,311.6,No
585
+ 1985-MBRYP,Female,0,No,No,43,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Bank transfer (automatic),19.65,779.25,No
586
+ 1320-REHCS,Male,1,No,No,52,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,110.75,5832,No
587
+ 0611-DFXKO,Male,0,Yes,No,20,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Mailed check,89.0,1820.45,Yes
588
+ 3411-WLRSQ,Female,1,Yes,No,3,Yes,No,Fiber optic,No,Yes,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),74.6,239.05,No
589
+ 2054-PJOCK,Female,0,No,No,60,Yes,Yes,DSL,No,No,Yes,Yes,Yes,Yes,One year,No,Credit card (automatic),80.55,4847.05,No
590
+ 1915-IOFGU,Female,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,No,Electronic check,70.5,70.5,Yes
591
+ 1813-JYWTO,Female,0,Yes,No,72,Yes,Yes,Fiber optic,Yes,No,No,No,No,No,Two year,No,Bank transfer (automatic),80.45,5737.6,No
592
+ 4813-HQMGZ,Female,0,Yes,No,8,Yes,Yes,Fiber optic,No,No,No,Yes,No,Yes,Month-to-month,Yes,Electronic check,90.25,743.75,No
593
+ 1866-RZZQS,Male,1,No,No,41,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,98.4,4187.75,Yes
594
+ 6507-ZJSUR,Male,1,Yes,No,23,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,90.45,2117.25,No
595
+ 4459-BBGHE,Male,0,No,Yes,30,No,No phone service,DSL,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,44.5,1307.8,No
596
+ 4713-ZBURT,Male,0,No,Yes,45,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Two year,No,Bank transfer (automatic),99.7,4634.35,No
597
+ 3525-DVKFN,Female,0,No,No,17,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,19.4,358.05,No
598
+ 6689-KXGBO,Female,0,No,No,1,Yes,No,DSL,No,Yes,No,No,No,No,Month-to-month,No,Electronic check,50.55,50.55,Yes
599
+ 3567-PQTSO,Male,0,Yes,Yes,53,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,One year,Yes,Electronic check,105.25,5576.3,No
600
+ 7100-FQPRV,Male,0,Yes,Yes,43,Yes,Yes,DSL,Yes,No,No,Yes,No,Yes,One year,Yes,Credit card (automatic),71.9,3173.35,No
601
+ 9611-CTWIH,Female,0,No,No,3,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,89.45,240.45,Yes
602
+ 9891-NQDBD,Female,0,Yes,No,28,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,25.55,672.2,No
603
+ 5583-EJXRD,Male,0,Yes,Yes,44,No,No phone service,DSL,Yes,Yes,Yes,Yes,No,Yes,Two year,Yes,Credit card (automatic),54.05,2375.2,No
604
+ 6878-GGDWG,Female,0,Yes,No,32,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Bank transfer (automatic),19.4,641.15,No
605
+ 4573-JKNAE,Male,0,No,Yes,12,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),19.35,212.3,No
606
+ 1273-MTETI,Female,1,No,No,4,Yes,Yes,Fiber optic,No,No,Yes,No,No,Yes,Month-to-month,Yes,Electronic check,88.85,372.45,Yes
607
+ 1400-WIVLL,Male,0,Yes,No,57,Yes,Yes,Fiber optic,No,No,Yes,Yes,Yes,Yes,Two year,No,Electronic check,107.95,5969.85,No
608
+ 9237-HQITU,Female,0,No,No,2,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,70.7,151.65,Yes
609
+ 1891-FZYSA,Male,1,Yes,No,69,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,No,Month-to-month,Yes,Electronic check,89.95,6143.15,Yes
610
+ 9658-WYUFB,Female,0,No,No,17,Yes,Yes,Fiber optic,Yes,Yes,No,No,Yes,No,Month-to-month,Yes,Electronic check,94.4,1617.5,Yes
611
+ 2187-PKZAY,Male,0,No,No,12,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Bank transfer (automatic),79.95,1043.4,No
612
+ 1060-ENTOF,Female,1,Yes,No,67,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,No,Yes,One year,Yes,Credit card (automatic),105.4,7035.6,No
613
+ 0471-ARVMX,Female,1,Yes,No,62,Yes,Yes,Fiber optic,Yes,No,Yes,No,Yes,Yes,One year,Yes,Electronic check,104.85,6312.9,No
614
+ 5242-UOWHD,Male,0,Yes,Yes,45,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,20.35,929.2,No
615
+ 7028-DVOIQ,Male,1,No,No,35,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,99.05,3395.8,Yes
616
+ 0682-USIXD,Female,0,Yes,No,21,Yes,No,Fiber optic,No,No,No,Yes,Yes,No,Month-to-month,Yes,Electronic check,86.05,1818.9,No
617
+ 3689-MOZGR,Female,0,No,No,29,No,No phone service,DSL,No,No,No,Yes,No,No,Month-to-month,Yes,Electronic check,31.2,926.2,No
618
+ 3466-BYAVD,Male,0,Yes,Yes,15,Yes,No,DSL,No,Yes,Yes,Yes,No,Yes,Month-to-month,Yes,Mailed check,69.5,1071.4,No
619
+ 3911-RSNHI,Female,0,Yes,No,71,No,No phone service,DSL,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),61.4,4310.35,No
620
+ 6110-OHIHY,Male,0,No,No,3,Yes,No,Fiber optic,No,No,No,No,Yes,No,Month-to-month,No,Electronic check,79.25,267.6,Yes
621
+ 8149-RSOUN,Female,0,No,No,1,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,93.85,93.85,Yes
622
+ 9617-UDPEU,Female,0,No,No,22,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Mailed check,19.25,412.55,No
623
+ 4873-ILOLJ,Male,0,No,No,24,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,90.35,2238.5,Yes
624
+ 4735-ASGMA,Male,0,No,No,26,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,98.35,2515.3,Yes
625
+ 9940-HPQPG,Female,0,Yes,No,9,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,No,No,Month-to-month,No,Bank transfer (automatic),91.75,865.8,Yes
626
+ 4816-OKWNX,Male,0,Yes,Yes,50,Yes,No,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,One year,Yes,Bank transfer (automatic),103.4,5236.4,No
627
+ 5405-ZMYXQ,Female,0,No,No,8,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),74.6,548.9,No
628
+ 2262-SLNVK,Female,0,No,No,1,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,No,Electronic check,70.1,70.1,No
629
+ 6425-YQLLO,Female,1,Yes,No,66,Yes,Yes,Fiber optic,No,No,Yes,Yes,Yes,Yes,One year,Yes,Credit card (automatic),105.95,6975.25,Yes
630
+ 0411-EZJZE,Female,0,No,No,3,Yes,Yes,DSL,No,No,No,No,Yes,No,Month-to-month,Yes,Electronic check,60.25,170.5,No
631
+ 5857-XRECV,Female,0,No,Yes,2,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Bank transfer (automatic),20.5,38.25,No
632
+ 9402-ORRAH,Female,1,No,No,15,Yes,No,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,91.5,1400.3,No
633
+ 1513-XNPPH,Female,0,No,No,12,Yes,No,Fiber optic,No,No,Yes,Yes,No,Yes,Month-to-month,Yes,Electronic check,89.4,1095.65,Yes
634
+ 2141-RRYGO,Female,0,No,No,4,Yes,No,DSL,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),68.65,261.25,Yes
635
+ 8455-HIRAQ,Female,0,No,No,8,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,No,Mailed check,44.45,369.3,No
636
+ 5676-CFLYY,Male,0,Yes,Yes,71,Yes,No,DSL,No,Yes,No,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),73.35,5154.5,No
637
+ 8631-WUXGY,Female,0,No,Yes,46,Yes,No,Fiber optic,No,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,99.8,4391.25,No
638
+ 5439-WIKXB,Male,1,Yes,No,41,Yes,No,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,94.55,3851.45,No
639
+ 5348-CAGXB,Male,0,No,No,12,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,No,Month-to-month,Yes,Electronic check,89.55,1021.75,No
640
+ 1960-UOTYM,Male,0,Yes,Yes,52,Yes,No,DSL,Yes,Yes,Yes,No,Yes,Yes,Two year,No,Electronic check,79.2,4016.3,No
641
+ 1310-QRITU,Female,0,No,No,18,Yes,Yes,DSL,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,50.3,913.3,No
642
+ 3486-NPGST,Female,0,No,No,36,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,19.55,620.75,No
643
+ 4803-LBYPN,Male,0,Yes,Yes,34,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.8,635.9,No
644
+ 0003-MKNFE,Male,0,No,No,9,Yes,Yes,DSL,No,No,No,No,No,Yes,Month-to-month,No,Mailed check,59.9,542.4,No
645
+ 1899-VXWXM,Male,0,No,No,48,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,One year,Yes,Credit card (automatic),106.1,5082.8,Yes
646
+ 2338-BQEZT,Female,0,No,No,55,Yes,No,DSL,Yes,No,No,No,No,No,Month-to-month,Yes,Credit card (automatic),50.55,2832.75,No
647
+ 3645-DEYGF,Male,0,No,Yes,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.75,20.75,No
648
+ 6485-QXWWE,Female,0,No,Yes,62,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),26.0,1638.7,No
649
+ 2001-EWBQU,Female,0,No,No,60,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,Two year,No,Electronic check,104.7,6333.8,No
650
+ 5373-SFODM,Male,1,Yes,No,36,Yes,Yes,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Credit card (automatic),85.25,3132.75,Yes
651
+ 8782-NUUOL,Male,0,No,No,60,Yes,No,DSL,Yes,No,Yes,Yes,Yes,Yes,One year,No,Mailed check,79.0,4801.1,No
652
+ 3473-XIIIT,Female,0,Yes,No,16,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,100.0,1534.75,Yes
653
+ 0314-TKOSI,Female,0,No,No,6,Yes,No,DSL,Yes,Yes,No,No,No,No,Month-to-month,No,Mailed check,55.15,322.9,No
654
+ 1268-ASBGA,Female,1,Yes,No,16,Yes,Yes,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Credit card (automatic),85.35,1375.15,Yes
655
+ 1347-KTTTA,Male,0,Yes,No,64,Yes,No,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,One year,Yes,Credit card (automatic),102.45,6654.1,No
656
+ 6937-GCDGQ,Male,0,Yes,Yes,19,Yes,No,DSL,Yes,No,No,No,No,No,One year,Yes,Bank transfer (automatic),48.95,955.6,No
657
+ 8910-ICHIU,Female,0,No,No,46,Yes,No,Fiber optic,Yes,Yes,Yes,No,Yes,No,One year,Yes,Credit card (automatic),95.65,4664.2,No
658
+ 1230-QAJDW,Male,0,No,No,3,Yes,Yes,DSL,No,No,No,Yes,Yes,No,Month-to-month,Yes,Mailed check,65.25,209.9,No
659
+ 4951-UKAAQ,Female,0,No,No,4,Yes,Yes,Fiber optic,No,Yes,No,No,No,Yes,Month-to-month,Yes,Electronic check,88.95,355.2,Yes
660
+ 3908-MKIMJ,Male,1,Yes,No,68,No,No phone service,DSL,Yes,Yes,Yes,No,No,No,Two year,Yes,Electronic check,41.95,2965.75,No
661
+ 0320-JDNQG,Male,0,Yes,Yes,23,Yes,No,Fiber optic,Yes,No,No,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,99.85,2331.3,Yes
662
+ 3961-SXAXY,Male,0,No,No,1,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),44.05,44.05,No
663
+ 4373-VVHQL,Male,0,No,No,1,Yes,No,DSL,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,44.75,44.75,No
664
+ 9715-WZCLW,Male,0,Yes,Yes,71,Yes,Yes,Fiber optic,Yes,No,No,No,Yes,Yes,Two year,Yes,Electronic check,97.2,6910.3,No
665
+ 7190-XHTWJ,Female,0,No,No,38,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,19.3,755.5,No
666
+ 2774-LVQUS,Female,1,Yes,No,15,Yes,Yes,Fiber optic,No,No,Yes,Yes,No,No,Month-to-month,Yes,Electronic check,83.05,1258.3,Yes
667
+ 4707-MAXGU,Male,0,Yes,No,72,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),25.85,1872.2,No
668
+ 0002-ORFBO,Female,0,Yes,Yes,9,Yes,No,DSL,No,Yes,No,Yes,Yes,No,One year,Yes,Mailed check,65.6,593.3,No
669
+ 1209-VFFOC,Male,0,Yes,Yes,68,No,No phone service,DSL,Yes,Yes,Yes,Yes,No,Yes,Two year,Yes,Mailed check,56.4,3948.45,No
670
+ 4248-HCETZ,Male,1,Yes,No,30,Yes,No,Fiber optic,No,Yes,Yes,No,No,No,Month-to-month,Yes,Mailed check,79.65,2365.15,Yes
671
+ 3557-HTYWR,Female,0,No,No,47,Yes,Yes,DSL,Yes,Yes,No,Yes,No,Yes,Two year,No,Mailed check,74.05,3496.3,No
672
+ 1088-AUUZZ,Male,0,Yes,Yes,56,Yes,Yes,DSL,Yes,Yes,No,Yes,No,Yes,Two year,Yes,Credit card (automatic),75.85,4261.2,No
673
+ 1891-UAWWU,Female,1,Yes,No,20,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,No,Month-to-month,No,Electronic check,90.8,1951,Yes
674
+ 4817-KEQSP,Female,0,Yes,Yes,71,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),19.85,1326.35,No
675
+ 1622-HSHSF,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,Yes,Mailed check,19.55,19.55,No
676
+ 6648-INWPS,Male,0,Yes,Yes,16,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Electronic check,20.15,341.35,No
677
+ 4881-JVQOD,Male,1,Yes,Yes,10,No,No phone service,DSL,No,No,No,No,No,Yes,Month-to-month,Yes,Bank transfer (automatic),34.55,362.6,No
678
+ 8595-SIZNC,Female,1,Yes,No,22,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Bank transfer (automatic),25.6,548.8,No
679
+ 4138-NAXED,Male,0,No,No,51,Yes,Yes,Fiber optic,No,Yes,No,No,No,No,Month-to-month,No,Bank transfer (automatic),81.0,4085.75,No
680
+ 6615-ZGEDR,Male,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.7,19.7,Yes
681
+ 5087-SUURX,Female,0,Yes,No,18,No,No phone service,DSL,No,No,Yes,No,Yes,No,Month-to-month,Yes,Electronic check,39.05,669.85,Yes
682
+ 6620-JDYNW,Female,0,No,No,18,Yes,Yes,DSL,Yes,No,Yes,No,No,No,Month-to-month,Yes,Mailed check,60.6,1156.35,No
683
+ 1112-CUNAO,Female,1,No,No,15,Yes,Yes,Fiber optic,No,Yes,No,No,No,Yes,Month-to-month,No,Electronic check,89.85,1424.95,Yes
684
+ 5999-LCXAO,Female,0,No,No,1,No,No phone service,DSL,Yes,No,No,No,No,No,Month-to-month,No,Mailed check,29.9,29.9,No
685
+ 2665-NPTGL,Female,1,Yes,No,26,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),98.1,2510.7,No
686
+ 2026-TGDHM,Female,0,No,No,7,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Electronic check,79.3,523.15,Yes
687
+ 6651-AZVTJ,Male,0,Yes,Yes,49,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,99.8,4872.45,Yes
688
+ 0973-KYVNF,Female,0,Yes,Yes,72,Yes,No,DSL,Yes,Yes,Yes,No,Yes,No,Two year,Yes,Credit card (automatic),70.65,5011.15,No
689
+ 7562-UXTPG,Female,0,No,No,13,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Mailed check,70.15,886.7,No
690
+ 6302-JGYRJ,Male,0,No,Yes,31,Yes,Yes,DSL,No,Yes,No,Yes,Yes,Yes,One year,Yes,Mailed check,79.45,2587.7,Yes
691
+ 6772-WFQRD,Male,0,No,Yes,40,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,Yes,Bank transfer (automatic),20.4,854.9,No
692
+ 5249-QYHEX,Female,0,Yes,Yes,40,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,24.8,1024.7,No
693
+ 0549-CYCQN,Male,1,No,No,51,Yes,Yes,Fiber optic,No,Yes,No,No,No,No,One year,Yes,Bank transfer (automatic),79.6,3974.7,No
694
+ 6522-OIQSX,Female,0,Yes,Yes,69,No,No phone service,DSL,No,Yes,Yes,No,Yes,Yes,Two year,Yes,Credit card (automatic),54.95,3772.5,No
695
+ 4312-GVYNH,Female,0,Yes,No,70,No,No phone service,DSL,Yes,No,Yes,Yes,No,Yes,Two year,Yes,Bank transfer (automatic),49.85,3370.2,No
696
+ 6861-XWTWQ,Male,1,Yes,No,7,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,99.25,665.45,Yes
697
+ 3900-AQPHZ,Female,0,No,No,1,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,19.9,19.9,Yes
698
+ 4359-INNWN,Female,0,No,No,17,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Credit card (automatic),20.05,337.9,No
699
+ 0626-QXNGV,Female,0,Yes,No,72,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Credit card (automatic),24.15,1776.45,No
700
+ 3154-HMWUU,Male,0,Yes,No,60,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Bank transfer (automatic),20.5,1198.8,No
701
+ 3318-OSATS,Male,1,No,No,35,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,95.45,3474.05,Yes
702
+ 3173-NVMPX,Female,0,Yes,Yes,9,Yes,Yes,DSL,No,Yes,No,No,No,No,Month-to-month,Yes,Mailed check,55.3,501.2,No
703
+ 7473-ZBDSN,Female,0,Yes,Yes,14,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,18.8,255.55,No
704
+ 8118-TJAFG,Male,0,Yes,Yes,9,Yes,No,Fiber optic,No,Yes,No,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,101.5,906.85,No
705
+ 6333-YDVLT,Male,0,No,No,65,Yes,Yes,Fiber optic,Yes,No,Yes,Yes,Yes,Yes,One year,Yes,Credit card (automatic),110.0,7138.65,No
706
+ 8714-EUHJO,Female,0,Yes,Yes,31,Yes,Yes,Fiber optic,No,Yes,No,No,No,Yes,Month-to-month,Yes,Electronic check,91.15,2995.45,Yes
classification/unipredict/blastchar-telco-customer-churn/test.jsonl ADDED
The diff for this file is too large to render. See raw diff