uid int64 2 364k | orig_metric stringclasses 30
values | sklearn_metric stringclasses 9
values | dataset_name stringlengths 2 124 | dataset_description stringlengths 3 13k ⌀ | dataset_features stringlengths 41 3.57M | task_description stringlengths 627 762 | task_name stringlengths 2 124 | attribute_names listlengths 0 100k | categorical_indicator listlengths 0 100k | __index_level_0__ int64 0 3.8k |
|---|---|---|---|---|---|---|---|---|---|---|
4,863 | mean_absolute_error | mean_absolute_error | colleges_usnews | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The USNEWS dataset for the ASA Statistical Graphics Section's
1995 Data Analysis Exposition contains information on over 1300
American colleges and universities. The data may be obtained in
either of two formats.
USNEWS.DATA contains the raw dat... | {0: [0 - FICE (numeric)],
1: [1 - College_name (nominal)],
2: [2 - State (nominal)],
3: [3 - Public/private_indicator (numeric)],
4: [4 - Average_Math_SAT_score (numeric)],
5: [5 - Average_Verbal_SAT_score (numeric)],
6: [6 - Average_Combined_SAT_score (numeric)],
7: [7 - Average_ACT_score (numeric)],
8: [8 - F... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 51.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 33.0,
'NumberOfInstances': 1302.0,
'NumberOfInstancesWithMissingValues': 1144.0,
'NumberOfMissingValues': 7928.0,
'NumberOfNumericFeatures': 32.0,
'NumberOfSymbolicFeatures': 1.... | colleges_usnews | [
"State",
"Public/private_indicator",
"Average_Math_SAT_score",
"Average_Verbal_SAT_score",
"Average_Combined_SAT_score",
"Average_ACT_score",
"First_quartile-Math_SAT",
"Third_quartile-Math_SAT",
"First_quartile-Verbal_SAT",
"Third_quartile-Verbal_SAT",
"First_quartile-ACT",
"Third_quartile-AC... | [
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false,
false,
false,
false,
false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 205 |
4,899 | mean_absolute_error | mean_absolute_error | fri_c4_250_100 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 101.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 101.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | fri_c4_250_100 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 206 |
4,916 | mean_absolute_error | mean_absolute_error | fri_c2_500_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c2_500_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 207 |
4,772 | mean_absolute_error | mean_absolute_error | puma32H | **Author**:
**Source**: Unknown -
**Please cite**:
This is one of a family of datasets synthetically generated from a realistic simulation of the dynamics of a Unimation Puma 560 robot arm. There are eight datastets in this family . In this repository we only have two of them. They are all variations on th... | {0: [0 - theta1 (numeric)],
1: [1 - theta2 (numeric)],
2: [2 - theta3 (numeric)],
3: [3 - theta4 (numeric)],
4: [4 - theta5 (numeric)],
5: [5 - theta6 (numeric)],
6: [6 - thetad1 (numeric)],
7: [7 - thetad2 (numeric)],
8: [8 - thetad3 (numeric)],
9: [9 - thetad4 (numeric)],
10: [10 - thetad5 (numeric)],
11: ... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 33.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 33.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | puma32H | [
"theta1",
"theta2",
"theta3",
"theta4",
"theta5",
"theta6",
"thetad1",
"thetad2",
"thetad3",
"thetad4",
"thetad5",
"thetad6",
"tau1",
"tau2",
"tau3",
"tau4",
"tau5",
"dm1",
"dm2",
"dm3",
"dm4",
"dm5",
"da1",
"da2",
"da3",
"da4",
"da5",
"db1",
"db2",
"db3",
... | [
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 208 |
4,887 | mean_absolute_error | mean_absolute_error | kdd_coil_1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%
Data-Description %
%%%%%%%%%%%%%%%%%%%
COIL 1999 Competition Data
Data Type
multivariate
Abstract
This data set is from the 1999 Computational Intelligence and Learning
(COIL) competition. The data contains measurements of... | {0: [0 - season (nominal)],
1: [1 - river_size (nominal)],
2: [2 - fluid_velocity (nominal)],
3: [3 - concentration_1 (numeric)],
4: [4 - concentration_2 (numeric)],
5: [5 - concentration_3 (numeric)],
6: [6 - concentration_4 (numeric)],
7: [7 - concentration_5 (numeric)],
8: [8 - concentration_6 (numeric)],
9... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 316.0,
'NumberOfInstancesWithMissingValues': 34.0,
'NumberOfMissingValues': 56.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | kdd_coil_1 | [
"season",
"river_size",
"fluid_velocity",
"concentration_1",
"concentration_2",
"concentration_3",
"concentration_4",
"concentration_5",
"concentration_6",
"concentration_7",
"concentration_8"
] | [
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 209 |
4,894 | mean_absolute_error | mean_absolute_error | kdd_coil_4 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%
Data-Description %
%%%%%%%%%%%%%%%%%%%
COIL 1999 Competition Data
Data Type
multivariate
Abstract
This data set is from the 1999 Computational Intelligence and Learning
(COIL) competition. The data contains measurements of... | {0: [0 - season (nominal)],
1: [1 - river_size (nominal)],
2: [2 - fluid_velocity (nominal)],
3: [3 - concentration_1 (numeric)],
4: [4 - concentration_2 (numeric)],
5: [5 - concentration_3 (numeric)],
6: [6 - concentration_4 (numeric)],
7: [7 - concentration_5 (numeric)],
8: [8 - concentration_6 (numeric)],
9... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 316.0,
'NumberOfInstancesWithMissingValues': 34.0,
'NumberOfMissingValues': 56.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | kdd_coil_4 | [
"season",
"river_size",
"fluid_velocity",
"concentration_1",
"concentration_2",
"concentration_3",
"concentration_4",
"concentration_5",
"concentration_6",
"concentration_7",
"concentration_8"
] | [
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 210 |
4,882 | mean_absolute_error | mean_absolute_error | schlvote | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Dataset from Smoothing Methods in Statistics
(ftp stat.cmu.edu/datasets)
Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. | {0: [0 - vote (nominal)],
1: [1 - tax_rate (numeric)],
2: [2 - budget (numeric)],
3: [3 - budget_change (numeric)],
4: [4 - tax_rate_change (numeric)],
5: [5 - wealth_per_student (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 38.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 1.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_m... | schlvote | [
"vote",
"tax_rate",
"budget",
"budget_change",
"tax_rate_change"
] | [
true,
false,
false,
false,
false
] | 211 |
4,884 | mean_absolute_error | mean_absolute_error | kdd_el_nino-small | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
El Nino Data
Data Type
spatio-temporal
Abstract
The data set contains oceanographic and surface meteorological
readings taken from a series of buoys positioned throughout the
equatorial Pacific. The data is expected to aid in the understanding... | {0: [0 - buoy (nominal)],
1: [1 - day (nominal)],
2: [2 - latitude (numeric)],
3: [3 - longitude (numeric)],
4: [4 - zon_winds (numeric)],
5: [5 - mer_winds (numeric)],
6: [6 - humidity (numeric)],
7: [7 - air_temp (numeric)],
8: [8 - s_s_temp (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 59.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 782.0,
'NumberOfInstancesWithMissingValues': 214.0,
'NumberOfMissingValues': 539.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 2.0,
'... | kdd_el_nino-small | [
"buoy",
"day",
"latitude",
"longitude",
"zon_winds",
"mer_winds",
"humidity",
"air_temp"
] | [
true,
true,
false,
false,
false,
false,
false,
false
] | 212 |
4,889 | mean_absolute_error | mean_absolute_error | kdd_coil_3 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%
Data-Description %
%%%%%%%%%%%%%%%%%%%
COIL 1999 Competition Data
Data Type
multivariate
Abstract
This data set is from the 1999 Computational Intelligence and Learning
(COIL) competition. The data contains measurements of... | {0: [0 - season (nominal)],
1: [1 - river_size (nominal)],
2: [2 - fluid_velocity (nominal)],
3: [3 - concentration_1 (numeric)],
4: [4 - concentration_2 (numeric)],
5: [5 - concentration_3 (numeric)],
6: [6 - concentration_4 (numeric)],
7: [7 - concentration_5 (numeric)],
8: [8 - concentration_6 (numeric)],
9... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 316.0,
'NumberOfInstancesWithMissingValues': 34.0,
'NumberOfMissingValues': 56.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | kdd_coil_3 | [
"season",
"river_size",
"fluid_velocity",
"concentration_1",
"concentration_2",
"concentration_3",
"concentration_4",
"concentration_5",
"concentration_6",
"concentration_7",
"concentration_8"
] | [
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 214 |
4,903 | mean_absolute_error | mean_absolute_error | fri_c4_500_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c4_500_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 215 |
4,891 | mean_absolute_error | mean_absolute_error | bank8FM | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
A family of datasets synthetically generated from a simulation of how bank-customers choose their banks. Tasks are
based on predicting the fraction of bank customers who leave the bank because of full queues. The bank family of
datasets are genera... | {0: [0 - a1cx (numeric)],
1: [1 - a1cy (numeric)],
2: [2 - b2x (numeric)],
3: [3 - b2y (numeric)],
4: [4 - a2pop (numeric)],
5: [5 - a3pop (numeric)],
6: [6 - temp (numeric)],
7: [7 - mxql (numeric)],
8: [8 - rej (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | bank8FM | [
"a1cx",
"a1cy",
"b2x",
"b2y",
"a2pop",
"a3pop",
"temp",
"mxql"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 216 |
4,901 | mean_absolute_error | mean_absolute_error | fri_c1_500_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c1_500_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
false,
false,
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false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 217 |
4,900 | mean_absolute_error | mean_absolute_error | fri_c3_500_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c3_500_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 218 |
4,898 | mean_absolute_error | mean_absolute_error | fri_c0_250_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c0_250_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 219 |
4,904 | mean_absolute_error | mean_absolute_error | fri_c3_100_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c3_100_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 220 |
4,886 | mean_absolute_error | mean_absolute_error | water-treatment | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
1. Title: Faults in a urban waste water treatment plant
2. Source Information:
-- Creators: Manel Poch (igte2@cc.uab.es)
Unitat d'Enginyeria Quimica
Universitat Autonoma de Barcelona. Bellaterra. Barcelona; Spain
-- Donor: Javier Bejar and Ulises... | {0: [0 - date (nominal)],
1: [1 - Q-E (nominal)],
2: [2 - ZN-E (numeric)],
3: [3 - PH-E (numeric)],
4: [4 - DBO-E (nominal)],
5: [5 - DQO-E (nominal)],
6: [6 - SS-E (nominal)],
7: [7 - SSV-E (numeric)],
8: [8 - SED-E (numeric)],
9: [9 - COND-E (nominal)],
10: [10 - PH-P (numeric)],
11: [11 - DBO-P (nominal)]... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 414.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 37.0,
'NumberOfInstances': 527.0,
'NumberOfInstancesWithMissingValues': 130.0,
'NumberOfMissingValues': 573.0,
'NumberOfNumericFeatures': 22.0,
'NumberOfSymbolicFeatures': 15.0... | water-treatment | [
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"PH-E",
"DBO-E",
"DQO-E",
"SS-E",
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"DBO-D",
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"SED-D",
"COND-D",
"PH-S",
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"DQO-S",
"SS-S",
"SSV-S",
"SED-S",
"COND-S",
"RD-DBO-P",
... | [
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true,
false,
false,
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false,
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] | 221 |
4,883 | mean_absolute_error | mean_absolute_error | cpu_small | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Computer Activity databases are a collection of computer systems
activity measures. The data was collected from a Sun Sparcstation
20/712 with 128 Mbytes of memory running in a multi-user university
department. Users would typically be doing a... | {0: [0 - lread (numeric)],
1: [1 - lwrite (numeric)],
2: [2 - scall (numeric)],
3: [3 - sread (numeric)],
4: [4 - swrite (numeric)],
5: [5 - fork (numeric)],
6: [6 - exec (numeric)],
7: [7 - rchar (numeric)],
8: [8 - wchar (numeric)],
9: [9 - runqsz (numeric)],
10: [10 - freemem (numeric)],
11: [11 - freeswa... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 13.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | cpu_small | [
"lread",
"lwrite",
"scall",
"sread",
"swrite",
"fork",
"exec",
"rchar",
"wchar",
"runqsz",
"freemem",
"freeswap"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 222 |
4,895 | mean_absolute_error | mean_absolute_error | kdd_coil_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%
Data-Description %
%%%%%%%%%%%%%%%%%%%
COIL 1999 Competition Data
Data Type
multivariate
Abstract
This data set is from the 1999 Computational Intelligence and Learning
(COIL) competition. The data contains measurements of... | {0: [0 - season (nominal)],
1: [1 - river_size (nominal)],
2: [2 - fluid_velocity (nominal)],
3: [3 - concentration_1 (numeric)],
4: [4 - concentration_2 (numeric)],
5: [5 - concentration_3 (numeric)],
6: [6 - concentration_4 (numeric)],
7: [7 - concentration_5 (numeric)],
8: [8 - concentration_6 (numeric)],
9... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 316.0,
'NumberOfInstancesWithMissingValues': 34.0,
'NumberOfMissingValues': 56.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | kdd_coil_5 | [
"season",
"river_size",
"fluid_velocity",
"concentration_1",
"concentration_2",
"concentration_3",
"concentration_4",
"concentration_5",
"concentration_6",
"concentration_7",
"concentration_8"
] | [
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 223 |
4,896 | mean_absolute_error | mean_absolute_error | kdd_coil_6 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%
Data-Description %
%%%%%%%%%%%%%%%%%%%
COIL 1999 Competition Data
Data Type
multivariate
Abstract
This data set is from the 1999 Computational Intelligence and Learning
(COIL) competition. The data contains measurements of... | {0: [0 - season (nominal)],
1: [1 - river_size (nominal)],
2: [2 - fluid_velocity (nominal)],
3: [3 - concentration_1 (numeric)],
4: [4 - concentration_2 (numeric)],
5: [5 - concentration_3 (numeric)],
6: [6 - concentration_4 (numeric)],
7: [7 - concentration_5 (numeric)],
8: [8 - concentration_6 (numeric)],
9... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 316.0,
'NumberOfInstancesWithMissingValues': 34.0,
'NumberOfMissingValues': 56.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | kdd_coil_6 | [
"season",
"river_size",
"fluid_velocity",
"concentration_1",
"concentration_2",
"concentration_3",
"concentration_4",
"concentration_5",
"concentration_6",
"concentration_7",
"concentration_8"
] | [
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 224 |
4,915 | mean_absolute_error | mean_absolute_error | fri_c2_250_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c2_250_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 225 |
4,922 | mean_absolute_error | mean_absolute_error | fri_c0_250_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c0_250_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 226 |
4,920 | mean_absolute_error | mean_absolute_error | fri_c1_250_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c1_250_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 227 |
4,921 | mean_absolute_error | mean_absolute_error | fri_c3_250_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c3_250_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 228 |
4,928 | mean_absolute_error | mean_absolute_error | fri_c0_1000_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | fri_c0_1000_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 229 |
4,919 | mean_absolute_error | mean_absolute_error | fri_c0_100_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c0_100_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 230 |
4,912 | mean_absolute_error | mean_absolute_error | fri_c1_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c1_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 231 |
4,925 | mean_absolute_error | mean_absolute_error | fri_c2_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c2_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 232 |
4,906 | mean_absolute_error | mean_absolute_error | fri_c3_100_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c3_100_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 233 |
4,923 | mean_absolute_error | mean_absolute_error | fri_c4_500_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c4_500_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 234 |
4,918 | mean_absolute_error | mean_absolute_error | fri_c2_1000_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | fri_c2_1000_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 235 |
4,897 | mean_absolute_error | mean_absolute_error | kdd_coil_7 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%
Data-Description %
%%%%%%%%%%%%%%%%%%%
COIL 1999 Competition Data
Data Type
multivariate
Abstract
This data set is from the 1999 Computational Intelligence and Learning
(COIL) competition. The data contains measurements of... | {0: [0 - season (nominal)],
1: [1 - river_size (nominal)],
2: [2 - fluid_velocity (nominal)],
3: [3 - concentration_1 (numeric)],
4: [4 - concentration_2 (numeric)],
5: [5 - concentration_3 (numeric)],
6: [6 - concentration_4 (numeric)],
7: [7 - concentration_5 (numeric)],
8: [8 - concentration_6 (numeric)],
9... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 316.0,
'NumberOfInstancesWithMissingValues': 34.0,
'NumberOfMissingValues': 56.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | kdd_coil_7 | [
"season",
"river_size",
"fluid_velocity",
"concentration_1",
"concentration_2",
"concentration_3",
"concentration_4",
"concentration_5",
"concentration_6",
"concentration_7",
"concentration_8"
] | [
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 236 |
4,914 | mean_absolute_error | mean_absolute_error | fri_c0_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c0_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 237 |
4,936 | mean_absolute_error | mean_absolute_error | fri_c3_500_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c3_500_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 238 |
4,908 | mean_absolute_error | mean_absolute_error | fri_c2_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c2_1000_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
false,
false,
false,
false,
false,
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false,
false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 239 |
4,910 | mean_absolute_error | mean_absolute_error | fri_c1_100_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c1_100_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 240 |
4,892 | mean_absolute_error | mean_absolute_error | cpu_act | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Computer Activity databases are a collection of computer systems
activity measures. The data was collected from a Sun Sparcstation
20/712 with 128 Mbytes of memory running in a multi-user university
department. Users would typically be doing a... | {0: [0 - lread (numeric)],
1: [1 - lwrite (numeric)],
2: [2 - scall (numeric)],
3: [3 - sread (numeric)],
4: [4 - swrite (numeric)],
5: [5 - fork (numeric)],
6: [6 - exec (numeric)],
7: [7 - rchar (numeric)],
8: [8 - wchar (numeric)],
9: [9 - pgout (numeric)],
10: [10 - ppgout (numeric)],
11: [11 - pgfree (n... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 22.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 22.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | cpu_act | [
"lread",
"lwrite",
"scall",
"sread",
"swrite",
"fork",
"exec",
"rchar",
"wchar",
"pgout",
"ppgout",
"pgfree",
"pgscan",
"atch",
"pgin",
"ppgin",
"pflt",
"vflt",
"runqsz",
"freemem",
"freeswap"
] | [
false,
false,
false,
false,
false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 241 |
4,905 | mean_absolute_error | mean_absolute_error | fri_c3_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c3_1000_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 242 |
4,930 | mean_absolute_error | mean_absolute_error | fri_c3_100_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c3_100_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 243 |
4,931 | mean_absolute_error | mean_absolute_error | fri_c1_1000_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | fri_c1_1000_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 244 |
4,913 | mean_absolute_error | mean_absolute_error | fri_c2_100_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c2_100_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 245 |
4,943 | mean_absolute_error | mean_absolute_error | fri_c0_100_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c0_100_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 246 |
4,935 | mean_absolute_error | mean_absolute_error | fri_c4_500_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c4_500_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 247 |
4,946 | mean_absolute_error | mean_absolute_error | fri_c2_500_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c2_500_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 248 |
4,932 | mean_absolute_error | mean_absolute_error | fri_c3_250_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c3_250_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 249 |
4,881 | mean_absolute_error | mean_absolute_error | bank32nh | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
A family of datasets synthetically generated from a simulation of how bank-customers choose their banks. Tasks are
based on predicting the fraction of bank customers who leave the bank because of full queues. The bank family of
datasets are genera... | {0: [0 - a1cx (numeric)],
1: [1 - a1cy (numeric)],
2: [2 - a1sx (numeric)],
3: [3 - a1sy (numeric)],
4: [4 - a1rho (numeric)],
5: [5 - a1pop (numeric)],
6: [6 - a2cx (numeric)],
7: [7 - a2cy (numeric)],
8: [8 - a2sx (numeric)],
9: [9 - a2sy (numeric)],
10: [10 - a2rho (numeric)],
11: [11 - a2pop (numeric)],
... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 33.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 33.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | bank32nh | [
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"a3sy",
"a3rho",
"a3pop",
"temp",
"b1x",
"b1y",
"b1call",
"b1eff",
"b2x",
"b2y",
"b2call",
"b2eff",
"b3x",
"b3y",
"b3call",
"b3eff",... | [
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] | 250 |
4,911 | mean_absolute_error | mean_absolute_error | fri_c4_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c4_1000_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
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4,940 | mean_absolute_error | mean_absolute_error | fri_c0_100_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
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'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c0_100_10 | [
"oz1",
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"oz3",
"oz4",
"oz5",
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"oz7",
"oz8",
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] | [
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] | 252 |
4,929 | mean_absolute_error | mean_absolute_error | fri_c4_500_100 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 101.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 101.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | fri_c4_500_100 | [
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4,917 | mean_absolute_error | mean_absolute_error | fri_c0_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c0_1000_25 | [
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false,
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false,
false,
false,
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] | 254 |
4,933 | mean_absolute_error | mean_absolute_error | fri_c1_250_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c1_250_25 | [
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"oz20",
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] | 255 |
4,949 | mean_absolute_error | mean_absolute_error | fri_c2_100_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c2_100_50 | [
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f... | 256 |
4,934 | mean_absolute_error | mean_absolute_error | fri_c4_250_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
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'NumberOfClasses': 0.0,
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'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c4_250_10 | [
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"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
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] | [
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false,
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] | 257 |
4,960 | mean_absolute_error | mean_absolute_error | fri_c1_500_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c1_500_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
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false,
false,
false,
false,
false,
false,
false,
false
] | 258 |
4,953 | mean_absolute_error | mean_absolute_error | fri_c2_100_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c2_100_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
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] | [
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false,
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] | 259 |
4,950 | mean_absolute_error | mean_absolute_error | fri_c1_500_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c1_500_5 | [
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"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 260 |
4,909 | mean_absolute_error | mean_absolute_error | fri_c0_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c0_1000_50 | [
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4,902 | mean_absolute_error | mean_absolute_error | fri_c1_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
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'NumberOfClasses': 0.0,
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'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c1_1000_50 | [
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4,938 | mean_absolute_error | mean_absolute_error | fri_c4_250_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c4_250_50 | [
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"oz26",
"oz27",
"oz28",
"oz29",
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4,942 | mean_absolute_error | mean_absolute_error | fri_c4_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c4_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
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false,
false,
false,
false,
false,
false,
false,
false,
false
] | 264 |
4,952 | mean_absolute_error | mean_absolute_error | fri_c0_500_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
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4,939 | mean_absolute_error | mean_absolute_error | fri_c1_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
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11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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4,927 | mean_absolute_error | mean_absolute_error | fri_c3_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
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2: [2 - oz3 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
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'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c3_1000_10 | [
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] | [
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4,944 | mean_absolute_error | mean_absolute_error | fri_c4_100_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
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'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
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'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c4_100_25 | [
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4,951 | mean_absolute_error | mean_absolute_error | fri_c3_250_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 51.0,
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'cos... | fri_c3_250_50 | [
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4,964 | mean_absolute_error | mean_absolute_error | fri_c3_500_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
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8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'cos... | fri_c3_500_50 | [
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4,948 | mean_absolute_error | mean_absolute_error | fri_c1_100_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
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8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'cos... | fri_c1_100_25 | [
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4,970 | mean_absolute_error | mean_absolute_error | fri_c0_100_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
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7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'cos... | fri_c0_100_25 | [
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4,955 | mean_absolute_error | mean_absolute_error | fri_c1_100_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'cos... | fri_c1_100_50 | [
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4,954 | mean_absolute_error | mean_absolute_error | fri_c0_250_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
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4: [4 - oz5 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
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'cos... | fri_c0_250_10 | [
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4,957 | mean_absolute_error | mean_absolute_error | fri_c2_250_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c2_250_50 | [
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4,907 | mean_absolute_error | mean_absolute_error | fri_c4_1000_100 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
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4: [4 - oz5 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'... | fri_c4_1000_100 | [
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4,966 | mean_absolute_error | mean_absolute_error | fri_c1_250_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
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2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
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'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c1_250_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 277 |
4,945 | mean_absolute_error | mean_absolute_error | fri_c2_500_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c2_500_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 278 |
4,958 | mean_absolute_error | mean_absolute_error | fri_c3_100_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c3_100_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 279 |
4,965 | mean_absolute_error | mean_absolute_error | fri_c3_500_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c3_500_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 280 |
4,956 | mean_absolute_error | mean_absolute_error | fri_c1_500_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c1_500_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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false,
false,
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false,
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false,
false,
false,
f... | 281 |
4,937 | mean_absolute_error | mean_absolute_error | fri_c3_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c3_1000_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 282 |
4,926 | mean_absolute_error | mean_absolute_error | fri_c4_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c4_1000_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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false,
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f... | 283 |
4,968 | mean_absolute_error | mean_absolute_error | fri_c0_500_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c0_500_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 284 |
4,947 | mean_absolute_error | mean_absolute_error | fri_c3_1000_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | fri_c3_1000_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 285 |
4,971 | mean_absolute_error | mean_absolute_error | fri_c4_100_100 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 101.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 101.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | fri_c4_100_100 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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false,
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false,
false,
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f... | 286 |
4,979 | mean_absolute_error | mean_absolute_error | rabe_265 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file contains data from Regression Analysis By Example, 2nd Edition,
by Samprit Chatterjee and Bertram Price, John Wiley, 1991.
Data sets have names of the form 'rabe.xxx' where xxx is the page number
in the book where the data occurs.
For a... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)],
6: [6 - col_7 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 51.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | rabe_265 | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5",
"col_6"
] | [
false,
false,
false,
false,
false,
false
] | 287 |
4,969 | mean_absolute_error | mean_absolute_error | fri_c0_500_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c0_500_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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false,
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f... | 288 |
4,978 | mean_absolute_error | mean_absolute_error | sleuth_ex1714 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Contains 110 data sets from the book 'The Statistical Sleuth'
by Fred Ramsey and Dan Schafer; Duxbury Press, 1997.
(schafer@stat.orst.edu) [14/Oct/97] (172k)
Note: description taken from this web site:
http://lib.stat.cmu.edu/datasets/
File: ../... | {0: [0 - zip (numeric)],
1: [1 - fire (numeric)],
2: [2 - theft (numeric)],
3: [3 - age (numeric)],
4: [4 - income (numeric)],
5: [5 - race (numeric)],
6: [6 - vol (numeric)],
7: [7 - invol (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 47.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | sleuth_ex1714 | [
"zip",
"fire",
"theft",
"age",
"race",
"vol",
"invol"
] | [
false,
false,
false,
false,
false,
false,
false
] | 289 |
4,959 | mean_absolute_error | mean_absolute_error | fri_c4_100_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c4_100_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 290 |
4,962 | mean_absolute_error | mean_absolute_error | fri_c2_500_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
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'cos... | fri_c2_500_25 | [
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4,770 | mean_absolute_error | mean_absolute_error | coil2000 | **Author**: Peter van der Putten
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Insurance+Company+Benchmark+(COIL+2000))
**Please cite**: P. van der Putten and M. van Someren (eds) . CoIL Challenge 2000: The Insurance Company Case. Published by Sentient Machine Research, Amsterdam. Leiden Institute of Ad... | {0: [0 - MOSTYPE (numeric)],
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'co... | coil2000 | [
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4,963 | mean_absolute_error | mean_absolute_error | fri_c4_250_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
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8: [8 - oz9 (numeric)],
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11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'cos... | fri_c4_250_25 | [
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4,961 | mean_absolute_error | mean_absolute_error | fri_c4_100_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
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4: [4 - oz5 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'cos... | fri_c4_100_50 | [
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4,972 | mean_absolute_error | mean_absolute_error | fri_c0_250_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'cos... | fri_c0_250_25 | [
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4,941 | mean_absolute_error | mean_absolute_error | fri_c2_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | fri_c2_1000_50 | [
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4,973 | mean_absolute_error | mean_absolute_error | fri_c0_500_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
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6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
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'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c0_500_10 | [
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4,967 | mean_absolute_error | mean_absolute_error | fri_c1_250_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
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'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 51.0,
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'cos... | fri_c1_250_50 | [
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4,982 | mean_absolute_error | mean_absolute_error | chscase_census6 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)],
6: [6 - col_7 (numeric)]} | {'MajorityClassSize': nan,
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'NumberOfSymbolicFeatures': 0.0,
'cost_... | chscase_census6 | [
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"col_3",
"col_4",
"col_5",
"col_6"
] | [
false,
false,
false,
false,
false,
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] | 299 |
4,975 | mean_absolute_error | mean_absolute_error | fri_c1_100_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
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'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fri_c1_100_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 300 |
4,989 | mean_absolute_error | mean_absolute_error | chscase_census3 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)],
6: [6 - col_7 (numeric)],
7: [7 - col_8 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
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'NumberOfInstances': 400.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | chscase_census3 | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5",
"col_6",
"col_7"
] | [
false,
false,
false,
false,
false,
false,
false
] | 301 |
4,985 | mean_absolute_error | mean_absolute_error | witmer_census_1980 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
A shar archive of data from the book Data Analysis: An
Introduction(1992) Prentice Hall bu Jeff Witmer. Submitted by
Jeff Witmer (fwitmer@ocvaxa.cc.oberlin.edu) [28/Jun/94] (29
kbytes)
Note: description taken from this web site:
http://lib.stat.c... | {0: [0 - STATE (nominal)],
1: [1 - OVER65Perc (numeric)],
2: [2 - MEDAGE (numeric)],
3: [3 - PERCAP$ (numeric)],
4: [4 - COLLEGEPerc (numeric)],
5: [5 - HSPerc (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
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'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | witmer_census_1980 | [
"OVER65Perc",
"MEDAGE",
"PERCAP$",
"COLLEGEPerc"
] | [
false,
false,
false,
false
] | 302 |
4,974 | mean_absolute_error | mean_absolute_error | fri_c2_100_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c2_100_25 | [
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] | 303 |
4,987 | mean_absolute_error | mean_absolute_error | chscase_census5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)],
6: [6 - col_7 (numeric)],
7: [7 - col_8 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 400.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | chscase_census5 | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5",
"col_6",
"col_7"
] | [
false,
false,
false,
false,
false,
false,
false
] | 304 |
4,983 | mean_absolute_error | mean_absolute_error | sleuth_case2002 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Contains 110 data sets from the book 'The Statistical Sleuth'
by Fred Ramsey and Dan Schafer; Duxbury Press, 1997.
(schafer@stat.orst.edu) [14/Oct/97] (172k)
Note: description taken from this web site:
http://lib.stat.cmu.edu/datasets/
File: ../... | {0: [0 - FM (nominal)],
1: [1 - LC (nominal)],
2: [2 - BK (nominal)],
3: [3 - SS (nominal)],
4: [4 - AG (numeric)],
5: [5 - YR (numeric)],
6: [6 - CD (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 147.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 4.0,
'cost_... | sleuth_case2002 | [
"FM",
"LC",
"BK",
"SS",
"AG",
"YR"
] | [
true,
true,
true,
true,
false,
false
] | 305 |
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