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 |
|---|---|---|---|---|---|---|---|---|---|---|
5,124 | mean_absolute_error | mean_absolute_error | papir_1 | **Author**: Magne Aldrin (magne.aldrin@nr.no)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - April 14. 1999
**Please cite**:
One of two multivariate regression data sets from paper industry, from an experiment at the paper plant Norske Skog, Skogn, Norway. They have been described and analysed in: ... | {0: [0 - response_1 (numeric)],
1: [1 - response_2 (numeric)],
2: [2 - response_3 (numeric)],
3: [3 - response_4 (numeric)],
4: [4 - response_5 (numeric)],
5: [5 - response_6 (numeric)],
6: [6 - response_7 (numeric)],
7: [7 - response_8 (numeric)],
8: [8 - response_9 (numeric)],
9: [9 - response_10 (numeric)],... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 22.0,
'NumberOfInstances': 30.0,
'NumberOfInstancesWithMissingValues': 1.0,
'NumberOfMissingValues': 13.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 9.0,
'cos... | papir_1 | [
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"response_12",
"response_13",
"x1",
"x2",
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"x1**2",
"x2**2",
"x3**2",
"x1*x2",
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] | 411 |
5,100 | mean_absolute_error | mean_absolute_error | svensson | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | svensson | [
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f... | 413 |
5,095 | mean_absolute_error | mean_absolute_error | strupcz | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 34.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | strupcz | [
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f... | 414 |
5,102 | mean_absolute_error | mean_absolute_error | penning | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | penning | [
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f... | 415 |
5,118 | mean_absolute_error | mean_absolute_error | qsabr1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
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'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsabr1 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9"
] | [
false,
false,
false,
false,
false,
false,
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false,
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] | 416 |
5,117 | mean_absolute_error | mean_absolute_error | qsabr2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 15.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsabr2 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
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] | 417 |
5,074 | mean_absolute_error | mean_absolute_error | ozone_level | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Ozone Level Detection
2. Source:
Kun Zhang
zhang.kun05 '@' gmail.com
Department of Computer Science,
Xavier University of Lousiana
Wei Fan
wei.fan '@' gmail.com
IBM T.J.Watson Research
XiaoJing Yuan
xyuan '@' uh.edu
Engineering Technology Departm... | {0: [0 - WSR0 (nominal)],
1: [1 - WSR1 (nominal)],
2: [2 - WSR2 (nominal)],
3: [3 - WSR3 (nominal)],
4: [4 - WSR4 (nominal)],
5: [5 - WSR5 (nominal)],
6: [6 - WSR6 (nominal)],
7: [7 - WSR7 (nominal)],
8: [8 - WSR8 (nominal)],
9: [9 - WSR9 (nominal)],
10: [10 - WSR10 (nominal)],
11: [11 - WSR11 (nominal)],
1... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 1688.0,
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'NumberOfClasses': 0.0,
'NumberOfFeatures': 73.0,
'NumberOfInstances': 2536.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 72.0,
... | ozone_level | [
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5,112 | mean_absolute_error | mean_absolute_error | uehling | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 9.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | uehling | [
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"oz5",
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"oz26",
"oz27",
"oz28",
"oz29",
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"oz33... | [
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f... | 419 |
5,113 | mean_absolute_error | mean_absolute_error | rosowky | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 10.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | rosowky | [
"oz1",
"oz2",
"oz3",
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"oz5",
"oz6",
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"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 420 |
5,123 | mean_absolute_error | mean_absolute_error | analcatdata_vehicle | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Alcohol-related (nominal)],
1: [1 - Gender (nominal)],
2: [2 - Type (nominal)],
3: [3 - Age (nominal)],
4: [4 - Count (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 48.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 4.0,
'cost_m... | analcatdata_vehicle | [
"Alcohol-related",
"Gender",
"Type",
"Age"
] | [
true,
true,
true,
true
] | 421 |
5,120 | mean_absolute_error | mean_absolute_error | analcatdata_birthday | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Month (nominal)],
1: [1 - Day (nominal)],
2: [2 - Births (numeric)],
3: [3 - Day_of_week (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 31.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 365.0,
'NumberOfInstancesWithMissingValues': 30.0,
'NumberOfMissingValues': 30.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | analcatdata_birthday | [
"Month",
"Day",
"Day_of_week"
] | [
true,
true,
true
] | 422 |
5,125 | mean_absolute_error | mean_absolute_error | papir_2 | **Author**: Magne Aldrin (magne.aldrin@nr.no)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - April 14. 1999
**Please cite**:
One of two multivariate regression data sets from paper industry, from an experiment at the paper plant Saugbruksforeningen, Norway. They have been described and analysed in: ... | {0: [0 - response_1 (numeric)],
1: [1 - response_2 (numeric)],
2: [2 - response_3 (numeric)],
3: [3 - response_4 (numeric)],
4: [4 - response_5 (numeric)],
5: [5 - response_6 (numeric)],
6: [6 - response_7 (numeric)],
7: [7 - response_8 (numeric)],
8: [8 - response_9 (numeric)],
9: [9 - response_10 (numeric)],... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 41.0,
'NumberOfInstances': 30.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 41.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | papir_2 | [
"response_2",
"response_3",
"response_4",
"response_5",
"response_6",
"response_7",
"response_8",
"response_9",
"response_10",
"response_11",
"response_12",
"response_13",
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"response_16",
"response_17",
"response_18",
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f... | 423 |
5,128 | mean_absolute_error | mean_absolute_error | analcatdata_hiroshima | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Dose (numeric)],
1: [1 - Aberrant_cells (numeric)],
2: [2 - Total_cells (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 1.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 649.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | analcatdata_hiroshima | [
"Dose",
"Total_cells"
] | [
false,
true
] | 424 |
5,115 | mean_absolute_error | mean_absolute_error | doherty | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 6.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | doherty | [
"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... | [
false,
false,
false,
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f... | 425 |
5,126 | mean_absolute_error | mean_absolute_error | analcatdata_negotiation | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Role (nominal)],
1: [1 - Status (numeric)],
2: [2 - Trust (numeric)],
3: [3 - Outcome_favorability (numeric)],
4: [4 - Procedural_fairness (numeric)],
5: [5 - Future_business (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 92.0,
'NumberOfInstancesWithMissingValues': 17.0,
'NumberOfMissingValues': 26.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | analcatdata_negotiation | [
"Role",
"Status",
"Trust",
"Outcome_favorability",
"Procedural_fairness"
] | [
true,
false,
false,
false,
false
] | 426 |
5,109 | mean_absolute_error | mean_absolute_error | stevenson | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 5.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | stevenson | [
"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... | [
false,
false,
false,
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false,
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false,
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false,
false,
false,
false,
false,
false,
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false,
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f... | 427 |
5,116 | mean_absolute_error | mean_absolute_error | chang | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 34.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | chang | [
"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... | [
false,
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false,
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false,
false,
false,
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f... | 428 |
5,122 | mean_absolute_error | mean_absolute_error | iq_brain_size | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Relationship between IQ and Brain Size
Summary:
Monozygotic twins share numerous physical, psychological, and pathological traits. Recent advances in in vivo brain image acquisition and analysis have made it possible to determine quantitatively ... | {0: [0 - CCMIDSA (numeric)],
1: [1 - FIQ (numeric)],
2: [2 - HC (numeric)],
3: [3 - ORDER (nominal)],
4: [4 - PAIR (nominal)],
5: [5 - SEX (nominal)],
6: [6 - TOTSA (numeric)],
7: [7 - TOTVOL (numeric)],
8: [8 - WEIGHT (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 20.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 3.0,
'cost_... | iq_brain_size | [
"CCMIDSA",
"HC",
"ORDER",
"PAIR",
"SEX",
"TOTSA",
"TOTVOL",
"WEIGHT"
] | [
false,
false,
true,
true,
true,
false,
false,
false
] | 429 |
5,075 | 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",
... | [
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,
false,
false,
false,
false,
false,
false,
false
] | 430 |
5,127 | mean_absolute_error | mean_absolute_error | newton_hema | **Author**: Michael Newton (newton@stat.wisc.edu)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 11-6-93
**Please cite**:
Data on fluctuating proportions of marked cells in marrow from heterozygous Safari cats from a study of early hematopoiesis.
The data included below are 11 time series of propor... | {0: [0 - id (nominal)],
1: [1 - weeks (numeric)],
2: [2 - cells_percentage (numeric)],
3: [3 - sample_size (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 11.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 140.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | newton_hema | [
"id",
"weeks",
"sample_size"
] | [
true,
false,
false
] | 431 |
5,133 | mean_absolute_error | mean_absolute_error | analcatdata_vineyard | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Year (nominal)],
1: [1 - Row (numeric)],
2: [2 - Group (numeric)],
3: [3 - Lugs (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 9.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 468.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | analcatdata_vineyard | [
"Year",
"Row",
"Group"
] | [
true,
false,
false
] | 432 |
5,131 | mean_absolute_error | mean_absolute_error | veteran | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Veteran's Administration Lung Cancer Trial
Taken from Kalbfleisch and Prentice, pages 223-224
Variables
Treatment 1=standard, 2=test
Celltype 1=squamous, 2=smallcell, 3=adeno, 4=large
Survival in days
Status 1=dead, 0=censored
Karnofsk... | {0: [0 - Treatment (nominal)],
1: [1 - Celltype (nominal)],
2: [2 - Survival (numeric)],
3: [3 - Status (nominal)],
4: [4 - Karnofsky_score (numeric)],
5: [5 - Months_from_Diagnosis (numeric)],
6: [6 - Age (numeric)],
7: [7 - Prior_therapy (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 137.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 4.0,
'cost_... | veteran | [
"Treatment",
"Celltype",
"Status",
"Karnofsky_score",
"Months_from_Diagnosis",
"Age",
"Prior_therapy"
] | [
true,
true,
true,
false,
false,
false,
true
] | 433 |
5,137 | mean_absolute_error | mean_absolute_error | analcatdata_gsssexsurvey | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Married (nominal)],
1: [1 - Age (numeric)],
2: [2 - Years_of_education (numeric)],
3: [3 - Male (nominal)],
4: [4 - Religious (nominal)],
5: [5 - Sex_partners (numeric)],
6: [6 - Income (numeric)],
7: [7 - Drug_use (nominal)],
8: [8 - Same_sex_relations (nominal)],
9: [9 - AIDS_know (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 159.0,
'NumberOfInstancesWithMissingValues': 6.0,
'NumberOfMissingValues': 6.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 5.0,
'cost... | analcatdata_gsssexsurvey | [
"Married",
"Age",
"Years_of_education",
"Male",
"Religious",
"Sex_partners",
"Income",
"Drug_use",
"Same_sex_relations"
] | [
true,
false,
false,
true,
true,
false,
false,
true,
true
] | 434 |
5,135 | mean_absolute_error | mean_absolute_error | analcatdata_supreme | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Actions_taken (numeric)],
1: [1 - Liberal (numeric)],
2: [2 - Unconstitutional (numeric)],
3: [3 - Precedent_alteration (numeric)],
4: [4 - Unanimous (numeric)],
5: [5 - Year_of_decision (numeric)],
6: [6 - Lower_court_disagreement (numeric)],
7: [7 - Log_exposure (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 4052.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | analcatdata_supreme | [
"Actions_taken",
"Liberal",
"Unconstitutional",
"Precedent_alteration",
"Unanimous",
"Year_of_decision",
"Lower_court_disagreement"
] | [
false,
false,
false,
false,
false,
false,
false
] | 435 |
5,129 | mean_absolute_error | mean_absolute_error | baseball-pitcher | **Author**: Lorraine Denby
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/)
**Please cite**:
**Analysis of Baseball Salary Data: Pitchers**
This analysis describes and summarizes the relationships between 1987 salaries of major league baseball players and the player's performance. The salary data we... | {0: [0 - pitchers_name (nominal)],
1: [1 - players_team_at_the_end_of_in_1986 (nominal)],
2: [2 - players_league_at_the_end_of_1986 (nominal)],
3: [3 - number_of_wins_in_1986 (numeric)],
4: [4 - number_of_losses_in_1986 (numeric)],
5: [5 - earned_run_average_in_1986 (numeric)],
6: [6 - number_of_games_in_1986 (nu... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 24.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 18.0,
'NumberOfInstances': 206.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 30.0,
'NumberOfNumericFeatures': 14.0,
'NumberOfSymbolicFeatures': 4.0,
'c... | baseball-pitcher | [
"players_team_at_the_end_of_in_1986",
"players_league_at_the_end_of_1986",
"number_of_wins_in_1986",
"number_of_losses_in_1986",
"earned_run_average_in_1986",
"number_of_games_in_1986",
"number_of_innings_pitched_in_1986",
"number_of_saves_in_1986",
"number_of_years_in_the_major_leagues",
"number_... | [
true,
true,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
true,
true
] | 436 |
5,141 | mean_absolute_error | mean_absolute_error | sleep | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This dataset contains 3 more features compared to version 1 of the same dataset.
Data from which conclusions were drawn in the article "Sleep in
Mammals: Ecological and Constitutional Correlates" by Allison, T. and
Cicchetti, D. (1976), _... | {0: [0 - species (nominal)],
1: [1 - body_weight (numeric)],
2: [2 - brain_weight (numeric)],
3: [3 - slow_wave (numeric)],
4: [4 - paradoxical (numeric)],
5: [5 - total_sleep (numeric)],
6: [6 - maximum_life_span (numeric)],
7: [7 - gestation_time (numeric)],
8: [8 - predation_index (numeric)],
9: [9 - sleep_... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 62.0,
'NumberOfInstancesWithMissingValues': 20.0,
'NumberOfMissingValues': 38.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | sleep | [
"body_weight",
"brain_weight",
"slow_wave",
"paradoxical",
"total_sleep",
"maximum_life_span",
"gestation_time",
"predation_index",
"sleep_exposure_index"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 437 |
5,132 | mean_absolute_error | mean_absolute_error | analcatdata_runshoes | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Male (nominal)],
1: [1 - Married (nominal)],
2: [2 - Runs.per.week (numeric)],
3: [3 - Age (numeric)],
4: [4 - Income (numeric)],
5: [5 - College (nominal)],
6: [6 - Distance (nominal)],
7: [7 - Treadmill (nominal)],
8: [8 - Miles.per.week (numeric)],
9: [9 - Type.of.running (nominal)],
10: [10 - Sho... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 60.0,
'NumberOfInstancesWithMissingValues': 14.0,
'NumberOfMissingValues': 14.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 6.0,
'cos... | analcatdata_runshoes | [
"Male",
"Married",
"Runs.per.week",
"Age",
"Income",
"College",
"Distance",
"Treadmill",
"Miles.per.week",
"Type.of.running"
] | [
true,
true,
false,
false,
false,
true,
true,
true,
false,
true
] | 438 |
5,107 | mean_absolute_error | mean_absolute_error | mtp2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 1143.0,
'NumberOfInstances': 274.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
... | mtp2 | [
"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... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 439 |
4,779 | mean_absolute_error | mean_absolute_error | mtp | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {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': 203.0,
'NumberOfInstances': 4450.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 203.0,
'NumberOfSymbolicFeatures': 0.0,
'... | mtp | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
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"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
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false,
false,
false,
false,
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false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 440 |
5,142 | mean_absolute_error | mean_absolute_error | plasma_retinol | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Determinants of Plasma Retinol and Beta-Carotene Levels
Summary:
Observational studies have suggested that low dietary intake or low plasma concentrations of retinol, beta-carotene, or other carotenoids might be associated with increased risk of ... | {0: [0 - AGE (numeric)],
1: [1 - SEX (nominal)],
2: [2 - SMOKSTAT (nominal)],
3: [3 - QUETELET (numeric)],
4: [4 - VITUSE (nominal)],
5: [5 - CALORIES (numeric)],
6: [6 - FAT (numeric)],
7: [7 - FIBER (numeric)],
8: [8 - ALCOHOL (numeric)],
9: [9 - CHOLESTEROL (numeric)],
10: [10 - BETADIET (numeric)],
11: [... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 315.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 3.0,
'cos... | plasma_retinol | [
"AGE",
"SEX",
"SMOKSTAT",
"QUETELET",
"VITUSE",
"CALORIES",
"FAT",
"FIBER",
"ALCOHOL",
"CHOLESTEROL",
"BETADIET",
"RETDIET",
"BETAPLASMA"
] | [
false,
true,
true,
false,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 441 |
5,139 | mean_absolute_error | mean_absolute_error | nflpass | **Author**: Roger W. Johnson
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/)
**Please cite**:
**National Football League Passes**
Dataset listing all-time NFL passers through 1994 by the NFL passing efficiency rating.
Associated passing statistics from which this rating is computed are included.
... | {0: [0 - Passing_Attempts (numeric)],
1: [1 - Passing_Completions (numeric)],
2: [2 - Passing_Yards (numeric)],
3: [3 - Touchdowns_by_Passing (numeric)],
4: [4 - Interceptions (numeric)],
5: [5 - NFL_Rating (numeric)],
6: [6 - Name_of_NFL_Player (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 26.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | nflpass | [
"Passing_Attempts",
"Passing_Completions",
"Passing_Yards",
"Touchdowns_by_Passing",
"Interceptions"
] | [
false,
false,
false,
false,
false
] | 442 |
5,144 | mean_absolute_error | mean_absolute_error | arsenic-female-lung | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: last | {0: [0 - group (nominal)],
1: [1 - conc (numeric)],
2: [2 - age (numeric)],
3: [3 - at.risk (numeric)],
4: [4 - events (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 43.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 559.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | arsenic-female-lung | [
"group",
"conc",
"age",
"at.risk"
] | [
true,
false,
false,
false
] | 443 |
5,140 | mean_absolute_error | mean_absolute_error | places | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This dataset is taken from the Places Rated Almanac, by Richard
Boyer and David Savageau, copyrighted and published by Rand McNally.
This book order (SBN) number is 0-528-88008-X, and it retails for
$14.95 . The data are reproduced by kind permis... | {0: [0 - Climate_and_Terrain (numeric)],
1: [1 - Housing (numeric)],
2: [2 - Health_Care_and_Environment (numeric)],
3: [3 - Crime (numeric)],
4: [4 - Transportation (numeric)],
5: [5 - Education (numeric)],
6: [6 - The_Arts (numeric)],
7: [7 - Recreation (numeric)],
8: [8 - Economics (numeric)],
9: [9 - Place... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 329.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | places | [
"Climate_and_Terrain",
"Housing",
"Health_Care_and_Environment",
"Crime",
"Transportation",
"Education",
"The_Arts",
"Recreation"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 444 |
5,136 | mean_absolute_error | mean_absolute_error | tecator | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is the Tecator data set: The task is to predict the fat content of a
meat sample on the basis of its near infrared absorbance spectrum.
1. Statement of permission from Tecator (the original data source)
These data are recorded on a Tecator I... | {0: [0 - absorbance_1 (numeric)],
1: [1 - absorbance_2 (numeric)],
2: [2 - absorbance_3 (numeric)],
3: [3 - absorbance_4 (numeric)],
4: [4 - absorbance_5 (numeric)],
5: [5 - absorbance_6 (numeric)],
6: [6 - absorbance_7 (numeric)],
7: [7 - absorbance_8 (numeric)],
8: [8 - absorbance_9 (numeric)],
9: [9 - absor... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 125.0,
'NumberOfInstances': 240.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 125.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | tecator | [
"absorbance_1",
"absorbance_2",
"absorbance_3",
"absorbance_4",
"absorbance_5",
"absorbance_6",
"absorbance_7",
"absorbance_8",
"absorbance_9",
"absorbance_10",
"absorbance_11",
"absorbance_12",
"absorbance_13",
"absorbance_14",
"absorbance_15",
"absorbance_16",
"absorbance_17",
"a... | [
false,
false,
false,
false,
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,
f... | 445 |
5,145 | mean_absolute_error | mean_absolute_error | baseball-team | **Author**: Lorraine Denby
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/)
**Please cite**:
**Analysis of Baseball Salary Data: Team statistics**
This analysis describes and summarizes the relationships between 1987 salaries of major league baseball players and the player's performance. The salary ... | {0: [0 - league (nominal)],
1: [1 - division (nominal)],
2: [2 - position_in_final_league_standings_in_1986 (nominal)],
3: [3 - team (nominal)],
4: [4 - number_of_wins_in_1986 (numeric)],
5: [5 - number_of_losses_in_1986 (numeric)],
6: [6 - attendance_for_home_games_in_1986 (numeric)],
7: [7 - attendance_for_awa... | {'MajorityClassSize': nan,
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'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 26.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 3.0,
'cost_m... | baseball-team | [
"league",
"division",
"position_in_final_league_standings_in_1986",
"number_of_wins_in_1986",
"number_of_losses_in_1986",
"attendance_for_home_games_in_1986",
"attendance_for_away_games_in_1986"
] | [
true,
true,
true,
false,
false,
false,
false
] | 446 |
5,148 | mean_absolute_error | mean_absolute_error | vinnie | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Following are data on the shooting of Vinnie Johnson of the Detroit
Pistons during the 1985-1986 through 1988-1989 seasons. Source was the
New York Times.
The data are analyzed in the Carnegie Mellon Ph.D. Thesis of
Kate Hsiao and some results are... | {0: [0 - year (numeric)],
1: [1 - field_goals (numeric)],
2: [2 - field_goal_attempts (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 380.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | vinnie | [
"year",
"field_goal_attempts"
] | [
false,
false
] | 447 |
5,151 | mean_absolute_error | mean_absolute_error | pm10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The data are a subsample of 500 observations from a data set
that originate in a study where air pollution at a road is
related to traffic volume and meteorological variables,
collected by the Norwegian Public Roads Administration. The
response va... | {0: [0 - pm10_concentration (numeric)],
1: [1 - cars_per_hour (numeric)],
2: [2 - temperature_at_2m (numeric)],
3: [3 - wind_speed (numeric)],
4: [4 - temperature_diff_2m_25m (numeric)],
5: [5 - wind_direction (numeric)],
6: [6 - hour_of_day (numeric)],
7: [7 - day (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | pm10 | [
"cars_per_hour",
"temperature_at_2m",
"wind_speed",
"temperature_diff_2m_25m",
"wind_direction",
"hour_of_day",
"day"
] | [
false,
false,
false,
false,
false,
false,
false
] | 448 |
5,143 | mean_absolute_error | mean_absolute_error | balloon | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The data consist of 2001 observations taken from a balloon about 30 kilometres
above the surface of the earth. In the section of the flight shown here the
balloon increases in height. As radiation increases with height there is a
non-decreasing tr... | {0: [0 - id (numeric)], 1: [1 - raw (numeric)], 2: [2 - residual (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 2.0,
'NumberOfInstances': 2001.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | balloon | [
"raw"
] | [
false
] | 449 |
5,150 | mean_absolute_error | mean_absolute_error | analcatdata_ncaa | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Seed_team_1 (numeric)],
1: [1 - Seed_team_2 (numeric)],
2: [2 - Team_1_wins (numeric)],
3: [3 - Team_1_losses (numeric)],
4: [4 - X1 (nominal)],
5: [5 - X2 (nominal)],
6: [6 - X3 (nominal)],
7: [7 - X4 (nominal)],
8: [8 - X5 (nominal)],
9: [9 - X6 (nominal)],
10: [10 - X7 (nominal)],
11: [11 - X8 (n... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 120.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 16.0,
'cos... | analcatdata_ncaa | [
"Seed_team_1",
"Seed_team_2",
"Team_1_losses",
"X1",
"X2",
"X3",
"X4",
"X5",
"X6",
"X7",
"X8",
"X9",
"X10",
"X11",
"X12",
"X13",
"X14",
"X15",
"X16"
] | [
false,
false,
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 450 |
5,138 | mean_absolute_error | mean_absolute_error | space_ga | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Geographical Analysis Spatial Data
This georeferenced data set was used in:
Pace, R. Kelley, and Ronald Barry, Quick Computation of Regressions with a Spatially
Autoregressive Dependent Variable, Geographical Analysis, Volume 29, Number 3, July
... | {0: [0 - ln(VOTES/POP) (numeric)],
1: [1 - POP (numeric)],
2: [2 - EDUCATION (numeric)],
3: [3 - HOUSES (numeric)],
4: [4 - INCOME (numeric)],
5: [5 - XCOORD (numeric)],
6: [6 - YCOORD (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 3107.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | space_ga | [
"POP",
"EDUCATION",
"HOUSES",
"INCOME",
"XCOORD",
"YCOORD"
] | [
false,
false,
false,
false,
false,
false
] | 451 |
5,134 | mean_absolute_error | mean_absolute_error | wind | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
wind daily average wind speeds for 1961-1978 at 12 synoptic meteorological
stations in the Republic of Ireland (Haslett and raftery 1989).
These data were analyzed in detail in the following article:
Haslett, J. and Raftery, A. E. (1989). Space... | {0: [0 - year (numeric)],
1: [1 - month (numeric)],
2: [2 - day (numeric)],
3: [3 - RPT (numeric)],
4: [4 - VAL (numeric)],
5: [5 - ROS (numeric)],
6: [6 - KIL (numeric)],
7: [7 - SHA (numeric)],
8: [8 - BIR (numeric)],
9: [9 - DUB (numeric)],
10: [10 - CLA (numeric)],
11: [11 - MUL (numeric)],
12: [12 - CL... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 15.0,
'NumberOfInstances': 6574.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | wind | [
"year",
"month",
"day",
"RPT",
"VAL",
"ROS",
"KIL",
"SHA",
"BIR",
"DUB",
"CLA",
"MUL",
"CLO",
"BEL"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 452 |
5,147 | mean_absolute_error | mean_absolute_error | analcatdata_gviolence | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Title (nominal)],
1: [1 - Year (numeric)],
2: [2 - Length (numeric)],
3: [3 - Violence_time (numeric)],
4: [4 - Injuries (numeric)],
5: [5 - Fatal_injuries (numeric)],
6: [6 - Good/neutral_injuries (numeric)],
7: [7 - Good/neutral_fatalities (numeric)],
8: [8 - Bad_injuries (numeric)],
9: [9 - Bad_fat... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 74.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | analcatdata_gviolence | [
"Year",
"Length",
"Injuries",
"Fatal_injuries",
"Good/neutral_injuries",
"Good/neutral_fatalities",
"Bad_injuries",
"Bad_fatalities"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 453 |
5,156 | mean_absolute_error | mean_absolute_error | analcatdata_election2000 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - County (nominal)],
1: [1 - Gore00 (numeric)],
2: [2 - Bush00 (numeric)],
3: [3 - Buchanan00 (numeric)],
4: [4 - Nader00 (numeric)],
5: [5 - Browne00 (numeric)],
6: [6 - Hagelin00 (numeric)],
7: [7 - Harris00 (numeric)],
8: [8 - McReynolds00 (numeric)],
9: [9 - Moorehead00 (numeric)],
10: [10 - Philli... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 16.0,
'NumberOfInstances': 67.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | analcatdata_election2000 | [
"Bush00",
"Buchanan00",
"Nader00",
"Browne00",
"Hagelin00",
"Harris00",
"McReynolds00",
"Moorehead00",
"Phillips00",
"Total00",
"Clinton96",
"Dole96",
"Perot96",
"Total96"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 454 |
5,504 | predictive_accuracy | accuracy_score | oh0.wc | null | {0: [0 - depart (numeric)],
1: [1 - cluster (numeric)],
2: [2 - nephropathi (numeric)],
3: [3 - sudden (numeric)],
4: [4 - infus (numeric)],
5: [5 - gland (numeric)],
6: [6 - dopamin (numeric)],
7: [7 - fetal (numeric)],
8: [8 - signific (numeric)],
9: [9 - penetr (numeric)],
10: [10 - hepat (numeric)],
11: ... | {'MajorityClassSize': 194.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 51.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 3183.0,
'NumberOfInstances': 1003.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3182.0,
'NumberOfSymbolicFeatures': ... | oh0.wc | [
"depart",
"cluster",
"nephropathi",
"sudden",
"infus",
"gland",
"dopamin",
"fetal",
"signific",
"penetr",
"hepat",
"cigarett",
"fairli",
"resist",
"agenc",
"rest",
"seropreval",
"goal",
"nucleotid",
"hydroxi",
"echocardiographi",
"decision",
"agent",
"0",
"tongue",
... | [
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,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 455 |
5,149 | mean_absolute_error | mean_absolute_error | analcatdata_wildcat | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Grievances (numeric)],
1: [1 - Rotate (nominal)],
2: [2 - Union (nominal)],
3: [3 - Workforce (numeric)],
4: [4 - Log_workforce (numeric)],
5: [5 - Wildcat_strikes (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 163.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_... | analcatdata_wildcat | [
"Grievances",
"Rotate",
"Union",
"Workforce",
"Log_workforce"
] | [
false,
true,
true,
false,
false
] | 456 |
5,154 | mean_absolute_error | mean_absolute_error | baseball-hitter | **Author**: Lorraine Denby
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/)
**Please cite**:
**Analysis of Baseball Salary Data: Hitters**
This analysis describes and summarizes the relationships between 1987 salaries of major league baseball players and the player's performance. The salary data were ... | {0: [0 - hitters_name (nominal)],
1: [1 - number_of_times_at_bat_in_1986 (numeric)],
2: [2 - number_of_hits_in_1986 (numeric)],
3: [3 - number_of_home_runs_in_1986 (numeric)],
4: [4 - number_of_runs_in_1986 (numeric)],
5: [5 - number_of_runs_batted_in_in_1986 (numeric)],
6: [6 - number_of_walks_in_1986 (numeric)]... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 25.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 23.0,
'NumberOfInstances': 322.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 59.0,
'NumberOfNumericFeatures': 17.0,
'NumberOfSymbolicFeatures': 6.0,
'c... | baseball-hitter | [
"number_of_times_at_bat_in_1986",
"number_of_hits_in_1986",
"number_of_home_runs_in_1986",
"number_of_runs_in_1986",
"number_of_runs_batted_in_in_1986",
"number_of_walks_in_1986",
"number_of_years_in_the_major_leagues",
"number_of_times_at_bat_during_his_career",
"number_of_hits_during_his_career",
... | [
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false,
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true,
true,
true,
true,
false,
false,
false,
true,
true
] | 457 |
5,506 | predictive_accuracy | accuracy_score | oh5.wc | **Author**: [George Forman](https://scholar.google.com/citations?user=r0a222QAAAAJ)
**Source**: http://tunedit.org/repo/Data/Text-wc/oh5.wc.arff
**Please cite**: | {0: [0 - depart (numeric)],
1: [1 - nephropathi (numeric)],
2: [2 - cluster (numeric)],
3: [3 - tenth (numeric)],
4: [4 - sudden (numeric)],
5: [5 - infus (numeric)],
6: [6 - imbal (numeric)],
7: [7 - gland (numeric)],
8: [8 - cyclophosphamid (numeric)],
9: [9 - furth (numeric)],
10: [10 - phagocytosi (numeri... | {'MajorityClassSize': 149.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 59.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 3013.0,
'NumberOfInstances': 918.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3012.0,
'NumberOfSymbolicFeatures': 1... | oh5.wc | [
"depart",
"nephropathi",
"cluster",
"tenth",
"sudden",
"infus",
"imbal",
"gland",
"cyclophosphamid",
"furth",
"phagocytosi",
"fetal",
"signific",
"penetr",
"hepat",
"cigarett",
"fusion",
"resist",
"rest",
"goal",
"hypothyroid",
"posttraumat",
"hydroxi",
"echocardiograph... | [
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f... | 458 |
5,153 | mean_absolute_error | mean_absolute_error | pbc | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
------------------------------------------------------------------------
Primary Biliary Cirrhosis
The data set found in appendix D of Fleming and Harrington, Counting
Processes and Survival Analysis, Wiley, 1991. The only differences are:
age i... | {0: [0 - case_number (numeric)],
1: [1 - number_of_days (numeric)],
2: [2 - status (numeric)],
3: [3 - drug (nominal)],
4: [4 - age (numeric)],
5: [5 - sex (nominal)],
6: [6 - presence_of_asictes (nominal)],
7: [7 - presence_of_hepatomegaly (nominal)],
8: [8 - presence_of_spiders (nominal)],
9: [9 - presence_o... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 418.0,
'NumberOfInstancesWithMissingValues': 142.0,
'NumberOfMissingValues': 1033.0,
'NumberOfNumericFeatures': 14.0,
'NumberOfSymbolicFeatures': 6.0,
... | pbc | [
"case_number",
"number_of_days",
"drug",
"age",
"sex",
"presence_of_asictes",
"presence_of_hepatomegaly",
"presence_of_spiders",
"presence_of_edema",
"serum_bilirubin",
"serum_cholesterol",
"albumin",
"urine_copper",
"alkaline_phosphatase",
"SGOT",
"triglicerides",
"platelets",
"pr... | [
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true,
true,
true,
false,
false,
false,
false,
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false,
false,
false,
false,
false
] | 459 |
5,152 | mean_absolute_error | mean_absolute_error | analcatdata_neavote | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Name (nominal)],
1: [1 - Party (nominal)],
2: [2 - Favorable (numeric)],
3: [3 - Bills (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | analcatdata_neavote | [
"Party",
"Bills"
] | [
true,
false
] | 460 |
5,155 | mean_absolute_error | mean_absolute_error | analcatdata_seropositive | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Age (numeric)],
1: [1 - Disease (nominal)],
2: [2 - Positive (numeric)],
3: [3 - Total (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 132.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | analcatdata_seropositive | [
"Age",
"Disease",
"Total"
] | [
false,
true,
false
] | 461 |
5,500 | predictive_accuracy | accuracy_score | oh15.wc | null | {0: [0 - cluster (numeric)],
1: [1 - infus (numeric)],
2: [2 - gland (numeric)],
3: [3 - dopamin (numeric)],
4: [4 - phagocytosi (numeric)],
5: [5 - fetal (numeric)],
6: [6 - signific (numeric)],
7: [7 - penetr (numeric)],
8: [8 - hepat (numeric)],
9: [9 - cigarett (numeric)],
10: [10 - fusion (numeric)],
11... | {'MajorityClassSize': 157.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 53.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 3101.0,
'NumberOfInstances': 913.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3100.0,
'NumberOfSymbolicFeatures': 1... | oh15.wc | [
"cluster",
"infus",
"gland",
"dopamin",
"phagocytosi",
"fetal",
"signific",
"penetr",
"hepat",
"cigarett",
"fusion",
"nitroprussid",
"rifampin",
"resist",
"huvec",
"rest",
"quadricep",
"goal",
"hydroxi",
"nucleotid",
"echocardiographi",
"agent",
"0",
"placem",
"juli",... | [
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false,
false,
false,
false,
false,
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false,
false,
false,
f... | 463 |
5,502 | predictive_accuracy | accuracy_score | tr23.wc | null | {0: [0 - utmost (numeric)],
1: [1 - secondli (numeric)],
2: [2 - neglect (numeric)],
3: [3 - shalala (numeric)],
4: [4 - weekend (numeric)],
5: [5 - timefram (numeric)],
6: [6 - formul (numeric)],
7: [7 - lump (numeric)],
8: [8 - belt (numeric)],
9: [9 - cranston (numeric)],
10: [10 - sympathi (numeric)],
11... | {'MajorityClassSize': 91.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 6.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 5833.0,
'NumberOfInstances': 204.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5832.0,
'NumberOfSymbolicFeatures': 1.0,
... | tr23.wc | [
"utmost",
"secondli",
"neglect",
"shalala",
"weekend",
"timefram",
"formul",
"lump",
"belt",
"cranston",
"sympathi",
"wrap",
"lectur",
"underfund",
"embargo",
"glad",
"glar",
"multifamili",
"perkin",
"messr",
"demean",
"cop",
"depart",
"multiyear",
"blue",
"romero",... | [
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false,
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f... | 464 |
5,157 | mean_absolute_error | mean_absolute_error | humandevel | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Human Development Index [DATA]
United Nations Development Program compiled an Index of Human
Development. Column 1: Country(character) 2: Index 3: GNP
GNP PER
CAPITA RANK RANK -
RANK HDI 1987 GNP RANK
1 Niger ... | {0: [0 - rank (numeric)],
1: [1 - country (nominal)],
2: [2 - hdi (numeric)],
3: [3 - gnp_per_capita (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 2.0,
'NumberOfInstances': 130.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | humandevel | [
"gnp_per_capita"
] | [
false
] | 465 |
5,507 | predictive_accuracy | accuracy_score | re1.wc | null | {0: [0 - imbal (numeric)],
1: [1 - subsidis (numeric)],
2: [2 - signific (numeric)],
3: [3 - fairli (numeric)],
4: [4 - rest (numeric)],
5: [5 - agenc (numeric)],
6: [6 - violent (numeric)],
7: [7 - francais (numeric)],
8: [8 - chuck (numeric)],
9: [9 - decision (numeric)],
10: [10 - agent (numeric)],
11: [1... | {'MajorityClassSize': 371.0,
'MaxNominalAttDistinctValues': 25.0,
'MinorityClassSize': 10.0,
'NumberOfClasses': 25.0,
'NumberOfFeatures': 3759.0,
'NumberOfInstances': 1657.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3758.0,
'NumberOfSymbolicFeatures': ... | re1.wc | [
"imbal",
"subsidis",
"signific",
"fairli",
"rest",
"agenc",
"violent",
"francais",
"chuck",
"decision",
"agent",
"0",
"tower",
"margarin",
"placem",
"curtail",
"placer",
"environ",
"hamburg",
"und",
"fly",
"panamanian",
"housew",
"pension",
"discharg",
"e",
"drake... | [
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false,
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f... | 466 |
5,162 | mean_absolute_error | mean_absolute_error | cps_85_wages | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Determinants of Wages from the 1985 Current Population Survey
Summary:
The Current Population Survey (CPS) is used to supplement census information between census years. These data consist of a random sample of 534 persons from the CPS, with info... | {0: [0 - EDUCATION (numeric)],
1: [1 - SOUTH (nominal)],
2: [2 - SEX (nominal)],
3: [3 - EXPERIENCE (numeric)],
4: [4 - UNION (nominal)],
5: [5 - WAGE (numeric)],
6: [6 - AGE (numeric)],
7: [7 - RACE (nominal)],
8: [8 - OCCUPATION (nominal)],
9: [9 - SECTOR (nominal)],
10: [10 - MARR (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 534.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 7.0,
'cost... | cps_85_wages | [
"EDUCATION",
"SOUTH",
"SEX",
"EXPERIENCE",
"UNION",
"AGE",
"RACE",
"OCCUPATION",
"SECTOR",
"MARR"
] | [
false,
true,
true,
false,
true,
false,
true,
true,
true,
true
] | 467 |
7,574 | predictive_accuracy | accuracy_score | fourclass | **Author**: Tin Kam Ho and Eugene M. Kleinberg.
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**: Tin Kam Ho and Eugene M. Kleinberg.
Building projectable classifiers of arbitrary complexity.
In Proceedings of the 13th International Conference... | {0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 862.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fourclass | [
"att_1",
"att_2"
] | [
false,
false
] | 468 |
5,513 | predictive_accuracy | accuracy_score | oh10.wc | null | {0: [0 - sudden (numeric)],
1: [1 - gland (numeric)],
2: [2 - signific (numeric)],
3: [3 - penetr (numeric)],
4: [4 - hepat (numeric)],
5: [5 - fusion (numeric)],
6: [6 - agenc (numeric)],
7: [7 - rest (numeric)],
8: [8 - seropreval (numeric)],
9: [9 - nucleotid (numeric)],
10: [10 - echocardiographi (numeric... | {'MajorityClassSize': 165.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 52.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 3239.0,
'NumberOfInstances': 1050.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3238.0,
'NumberOfSymbolicFeatures': ... | oh10.wc | [
"sudden",
"gland",
"signific",
"penetr",
"hepat",
"fusion",
"agenc",
"rest",
"seropreval",
"nucleotid",
"echocardiographi",
"decision",
"agent",
"0",
"placem",
"environ",
"obstetr",
"vagin",
"overview",
"cytokin",
"reconstitut",
"discharg",
"f",
"ileal",
"g",
"clind... | [
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false,
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f... | 469 |
5,158 | mean_absolute_error | mean_absolute_error | pollen | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This dataset is synthetic. It was generated by David Coleman
at RCA Laboratories in Princeton, N.J. For convenience, we will
refer to it as the POLLEN DATA. The first three variables are the
lengths of geometric features observed sampled pollen... | {0: [0 - RIDGE (numeric)],
1: [1 - NUB (numeric)],
2: [2 - CRACK (numeric)],
3: [3 - WEIGHT (numeric)],
4: [4 - DENSITY (numeric)],
5: [5 - OBSERVATION_NUMBER (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 3848.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | pollen | [
"RIDGE",
"NUB",
"CRACK",
"WEIGHT"
] | [
false,
false,
false,
false
] | 470 |
5,146 | mean_absolute_error | mean_absolute_error | pbcseq | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Primary Biliary Cirrhosis
This data set is a follow-up to the original PBC data set, as discussed
in appendix D of Fleming and Harrington, Counting Processes and Survival
Analysis, Wiley, 1991. An analysis based on the enclised data is found in
... | {0: [0 - case_number (numeric)],
1: [1 - number_of_days (numeric)],
2: [2 - status (numeric)],
3: [3 - drug (nominal)],
4: [4 - age (numeric)],
5: [5 - sex (nominal)],
6: [6 - day (nominal)],
7: [7 - presence_of_asictes (nominal)],
8: [8 - presence_of_hepatomegaly (nominal)],
9: [9 - presence_of_spiders (nomin... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 1024.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 19.0,
'NumberOfInstances': 1945.0,
'NumberOfInstancesWithMissingValues': 832.0,
'NumberOfMissingValues': 1133.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 6... | pbcseq | [
"case_number",
"number_of_days",
"drug",
"age",
"sex",
"day",
"presence_of_asictes",
"presence_of_hepatomegaly",
"presence_of_spiders",
"presence_of_edema",
"serum_bilirubin",
"serum_cholesterol",
"albumin",
"alkaline_phosphatase",
"SGOT",
"platelets",
"prothrombin_time",
"histolog... | [
false,
false,
true,
false,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 471 |
5,161 | mean_absolute_error | mean_absolute_error | arsenic-female-bladder | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: last | {0: [0 - group (nominal)],
1: [1 - conc (numeric)],
2: [2 - age (numeric)],
3: [3 - at.risk (numeric)],
4: [4 - events (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 43.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 559.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | arsenic-female-bladder | [
"group",
"conc",
"age",
"at.risk"
] | [
true,
false,
false,
false
] | 472 |
5,509 | predictive_accuracy | accuracy_score | tr12.wc | null | {0: [0 - saga (numeric)],
1: [1 - stumble (numeric)],
2: [2 - abu (numeric)],
3: [3 - membership (numeric)],
4: [4 - rc (numeric)],
5: [5 - cherish (numeric)],
6: [6 - airwai (numeric)],
7: [7 - concur (numeric)],
8: [8 - ravag (numeric)],
9: [9 - perestroyka (numeric)],
10: [10 - rf (numeric)],
11: [11 - 0 ... | {'MajorityClassSize': 93.0,
'MaxNominalAttDistinctValues': 8.0,
'MinorityClassSize': 9.0,
'NumberOfClasses': 8.0,
'NumberOfFeatures': 5805.0,
'NumberOfInstances': 313.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5804.0,
'NumberOfSymbolicFeatures': 1.0,
... | tr12.wc | [
"saga",
"stumble",
"abu",
"membership",
"rc",
"cherish",
"airwai",
"concur",
"ravag",
"perestroyka",
"rf",
"0",
"environ",
"purchas",
"loss",
"lost",
"manag",
"particip",
"southeast",
"product",
"dinner",
"anglo",
"aqueou",
"deton",
"conspiraci",
"ethic",
"criteri... | [
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,
f... | 473 |
7,575 | predictive_accuracy | accuracy_score | german.numer | null | {0: [0 - att_1 (numeric)],
1: [1 - att_2 (numeric)],
2: [2 - att_3 (numeric)],
3: [3 - att_4 (numeric)],
4: [4 - att_5 (numeric)],
5: [5 - att_6 (numeric)],
6: [6 - att_7 (numeric)],
7: [7 - att_8 (numeric)],
8: [8 - att_9 (numeric)],
9: [9 - att_10 (numeric)],
10: [10 - att_11 (numeric)],
11: [11 - att_12 (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 25.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | german.numer | [
"att_1",
"att_2",
"att_3",
"att_4",
"att_5",
"att_6",
"att_7",
"att_8",
"att_9",
"att_10",
"att_11",
"att_12",
"att_13",
"att_14",
"att_15",
"att_16",
"att_17",
"att_18",
"att_19",
"att_20",
"att_21",
"att_22",
"att_23",
"att_24"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 474 |
5,498 | predictive_accuracy | accuracy_score | tr21.wc | null | {0: [0 - noteworthi (numeric)],
1: [1 - parad (numeric)],
2: [2 - naval (numeric)],
3: [3 - ward (numeric)],
4: [4 - dock (numeric)],
5: [5 - logist (numeric)],
6: [6 - tonnag (numeric)],
7: [7 - maine (numeric)],
8: [8 - ap (numeric)],
9: [9 - sallie (numeric)],
10: [10 - franci (numeric)],
11: [11 - libert... | {'MajorityClassSize': 231.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 4.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 7903.0,
'NumberOfInstances': 336.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7902.0,
'NumberOfSymbolicFeatures': 1.0,... | tr21.wc | [
"noteworthi",
"parad",
"naval",
"ward",
"dock",
"logist",
"tonnag",
"maine",
"ap",
"sallie",
"franci",
"libertarian",
"pip",
"russell",
"sanford",
"approp",
"ind",
"shipboard",
"sunset",
"servant",
"depart",
"logansport",
"number",
"english",
"maritim",
"signific",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 475 |
5,501 | predictive_accuracy | accuracy_score | tr11.wc | null | {0: [0 - outfit (numeric)],
1: [1 - hasn (numeric)],
2: [2 - calm (numeric)],
3: [3 - gene (numeric)],
4: [4 - resettl (numeric)],
5: [5 - lotteri (numeric)],
6: [6 - privileg (numeric)],
7: [7 - junior (numeric)],
8: [8 - withdrawn (numeric)],
9: [9 - chok (numeric)],
10: [10 - compaq (numeric)],
11: [11 - ... | {'MajorityClassSize': 132.0,
'MaxNominalAttDistinctValues': 9.0,
'MinorityClassSize': 6.0,
'NumberOfClasses': 9.0,
'NumberOfFeatures': 6430.0,
'NumberOfInstances': 414.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6429.0,
'NumberOfSymbolicFeatures': 1.0,... | tr11.wc | [
"outfit",
"hasn",
"calm",
"gene",
"resettl",
"lotteri",
"privileg",
"junior",
"withdrawn",
"chok",
"compaq",
"noi",
"colombia",
"radioact",
"neutron",
"npc",
"disabl",
"macedonian",
"eman",
"skopje",
"volkov",
"appall",
"sidelin",
"titanium",
"quasi",
"league",
"n... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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false,
false,
false,
false,
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false,
false,
false,
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false,
false,
false,
f... | 476 |
5,163 | mean_absolute_error | mean_absolute_error | analcatdata_chlamydia | **Author**: Jeffrey S. Simonoff
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2003
**Please cite**: Jeffrey S. Simonoff. Analyzing Categorical Data. Springer-Verlag, New York, 2003
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2... | {0: [0 - Age (nominal)],
1: [1 - Gender (nominal)],
2: [2 - Race (nominal)],
3: [3 - Count (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 3.0,
'cost... | analcatdata_chlamydia | [
"Age",
"Gender",
"Race"
] | [
true,
true,
true
] | 477 |
12,715 | predictive_accuracy | accuracy_score | german.numer | null | {0: [0 - att_1 (numeric)],
1: [1 - att_2 (numeric)],
2: [2 - att_3 (numeric)],
3: [3 - att_4 (numeric)],
4: [4 - att_5 (numeric)],
5: [5 - att_6 (numeric)],
6: [6 - att_7 (numeric)],
7: [7 - att_8 (numeric)],
8: [8 - att_9 (numeric)],
9: [9 - att_10 (numeric)],
10: [10 - att_11 (numeric)],
11: [11 - att_12 (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 25.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | german.numer | [
"att_1",
"att_2",
"att_3",
"att_4",
"att_5",
"att_6",
"att_7",
"att_8",
"att_9",
"att_10",
"att_11",
"att_12",
"att_13",
"att_14",
"att_15",
"att_16",
"att_17",
"att_18",
"att_19",
"att_20",
"att_21",
"att_22",
"att_23",
"att_24"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 478 |
7,572 | predictive_accuracy | accuracy_score | svmguide1 | **Author**: Chih-Wei Hsu","Chih-Chung Chang","and Chih-Jen Lin.
libSVM","AAD group
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**: Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin.
A practical guide to support vector classification.
Techni... | {0: [0 - att_1 (numeric)],
1: [1 - att_2 (numeric)],
2: [2 - att_3 (numeric)],
3: [3 - att_4 (numeric)],
4: [4 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 7089.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | svmguide1 | [
"att_1",
"att_2",
"att_3",
"att_4"
] | [
false,
false,
false,
false
] | 479 |
12,714 | predictive_accuracy | accuracy_score | fourclass_scale | **Author**: Tin Kam Ho and Eugene M. Kleinberg.
libSVM","AAD group
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**:
#Dataset from the LIBSVM data repository.
Preprocessing: transform to two-class | {0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 862.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | fourclass_scale | [
"att_1",
"att_2"
] | [
false,
false
] | 480 |
5,167 | mean_absolute_error | mean_absolute_error | analcatdata_galapagos | **Author**: Jeffrey S. Simonoff
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2003
**Please cite**: Jeffrey S. Simonoff. Analyzing Categorical Data. Springer-Verlag, New York, 2003
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2... | {0: [0 - Island (nominal)],
1: [1 - Observed.species (numeric)],
2: [2 - Native.species (numeric)],
3: [3 - Area(km^2) (numeric)],
4: [4 - Elevation(m) (numeric)],
5: [5 - Distance.nearest.island(km) (numeric)],
6: [6 - Distance.Santa.Cruz(km) (numeric)],
7: [7 - Area.adj.island(km^2) (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 30.0,
'NumberOfInstancesWithMissingValues': 6.0,
'NumberOfMissingValues': 6.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | analcatdata_galapagos | [
"Native.species",
"Area(km^2)",
"Elevation(m)",
"Distance.nearest.island(km)",
"Distance.Santa.Cruz(km)",
"Area.adj.island(km^2)"
] | [
false,
false,
false,
false,
false,
false
] | 481 |
5,168 | mean_absolute_error | mean_absolute_error | mu284 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file contains the data in "The MU284 Population" from Appendix B of
the book "Model Assisted Survey Sampling" by Sarndal, Swensson and Wretman,
published by Springer-Verlag, New York, 1992. The data set contains 284
observations on 11 variabl... | {0: [0 - LABEL (numeric)],
1: [1 - P85 (numeric)],
2: [2 - P75 (numeric)],
3: [3 - RMT85 (numeric)],
4: [4 - CS82 (numeric)],
5: [5 - SS82 (numeric)],
6: [6 - S82 (numeric)],
7: [7 - ME84 (numeric)],
8: [8 - REV84 (numeric)],
9: [9 - REG (numeric)],
10: [10 - CL (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 284.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | mu284 | [
"P85",
"P75",
"RMT85",
"CS82",
"SS82",
"S82",
"ME84",
"REV84",
"REG"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 482 |
12,730 | predictive_accuracy | accuracy_score | svmguide3 | **Author**: Chih-Wei Hsu","Chih-Chung Chang","and Chih-Jen Lin.
libSVM","AAD group
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**:
#Dataset from the LIBSVM data repository.
Preprocessing: Original data: someone from Germany working wi... | {0: [0 - att_1 (numeric)],
1: [1 - att_2 (numeric)],
2: [2 - att_3 (numeric)],
3: [3 - att_4 (numeric)],
4: [4 - att_5 (numeric)],
5: [5 - att_6 (numeric)],
6: [6 - att_7 (numeric)],
7: [7 - att_8 (numeric)],
8: [8 - att_9 (numeric)],
9: [9 - att_10 (numeric)],
10: [10 - att_11 (numeric)],
11: [11 - att_12 (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 23.0,
'NumberOfInstances': 1243.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 23.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | svmguide3 | [
"att_1",
"att_2",
"att_3",
"att_4",
"att_5",
"att_6",
"att_7",
"att_8",
"att_9",
"att_10",
"att_11",
"att_12",
"att_13",
"att_14",
"att_15",
"att_16",
"att_17",
"att_18",
"att_19",
"att_20",
"att_21",
"att_22"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 483 |
5,164 | mean_absolute_error | mean_absolute_error | arsenic-male-lung | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: last | {0: [0 - group (nominal)],
1: [1 - conc (numeric)],
2: [2 - age (numeric)],
3: [3 - at.risk (numeric)],
4: [4 - events (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 43.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 559.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | arsenic-male-lung | [
"group",
"conc",
"age",
"at.risk"
] | [
true,
false,
false,
false
] | 484 |
5,497 | predictive_accuracy | accuracy_score | tr45.wc | null | {0: [0 - sunni (numeric)],
1: [1 - interbank (numeric)],
2: [2 - rig (numeric)],
3: [3 - dlouhi (numeric)],
4: [4 - bratislava (numeric)],
5: [5 - librari (numeric)],
6: [6 - number (numeric)],
7: [7 - contamin (numeric)],
8: [8 - mold (numeric)],
9: [9 - norm (numeric)],
10: [10 - mobil (numeric)],
11: [11 ... | {'MajorityClassSize': 160.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 14.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 8262.0,
'NumberOfInstances': 690.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8261.0,
'NumberOfSymbolicFeatures': 1... | tr45.wc | [
"sunni",
"interbank",
"rig",
"dlouhi",
"bratislava",
"librari",
"number",
"contamin",
"mold",
"norm",
"mobil",
"sens",
"plankton",
"ash",
"workstat",
"cabin",
"sunken",
"tengiz",
"cove",
"tragedi",
"alloi",
"fluid",
"escort",
"allot",
"curi",
"tac",
"komsomolet",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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,
false,
false,
f... | 485 |
12,717 | predictive_accuracy | accuracy_score | heart | **Author**: Laboratory of Artificial Intelligence and Computer Science of the University of Porto (LIACC)
libSVM","AAD group
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**:
#Dataset from the LIBSVM data repository.
Preprocessing: scal... | {0: [0 - att_1 (numeric)],
1: [1 - att_2 (numeric)],
2: [2 - att_3 (numeric)],
3: [3 - att_4 (numeric)],
4: [4 - att_5 (numeric)],
5: [5 - att_6 (numeric)],
6: [6 - att_7 (numeric)],
7: [7 - att_8 (numeric)],
8: [8 - att_9 (numeric)],
9: [9 - att_10 (numeric)],
10: [10 - att_11 (numeric)],
11: [11 - att_12 (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 270.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 14.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | heart | [
"att_1",
"att_2",
"att_3",
"att_4",
"att_5",
"att_6",
"att_7",
"att_8",
"att_9",
"att_10",
"att_11",
"att_12",
"att_13"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 486 |
5,175 | mean_absolute_error | mean_absolute_error | no2 | **Author**: Magne Aldrin (magne.aldrin@nr.no)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2004
**Please cite**:
The data are a subsample of 500 observations from a data set that originate in a study where air pollution at a road is
related to traffic volume and meteorological variables, collected... | {0: [0 - no2_concentration (numeric)],
1: [1 - cars_per_hour (numeric)],
2: [2 - temperature_at_2m (numeric)],
3: [3 - wind_speed (numeric)],
4: [4 - temperature_diff_2m_25m (numeric)],
5: [5 - wind_direction (numeric)],
6: [6 - hour_of_day (numeric)],
7: [7 - day (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | no2 | [
"cars_per_hour",
"temperature_at_2m",
"wind_speed",
"temperature_diff_2m_25m",
"wind_direction",
"hour_of_day",
"day"
] | [
false,
false,
false,
false,
false,
false,
false
] | 487 |
5,178 | mean_absolute_error | mean_absolute_error | analcatdata_michiganacc | **Author**: Jeffrey S. Simonoff
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2003
**Please cite**: Jeffrey S. Simonoff. Analyzing Categorical Data. Springer-Verlag, New York, 2003
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2... | {0: [0 - Time_index (numeric)],
1: [1 - Season (nominal)],
2: [2 - Month (nominal)],
3: [3 - Unemployment_rate (numeric)],
4: [4 - Accidents (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 12.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 108.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 2.0,
'cost... | analcatdata_michiganacc | [
"Season",
"Month",
"Unemployment_rate"
] | [
true,
true,
false
] | 488 |
5,160 | mean_absolute_error | mean_absolute_error | boston | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic
prices and the demand for clean air', J. Environ. Economics & Management,
vol.5, 81-102, 1978. Used in Belsley, Kuh & Welsch, 'Regression diagnostics
...', Wiley, 1980. N... | {0: [0 - CRIM (numeric)],
1: [1 - ZN (numeric)],
2: [2 - INDUS (numeric)],
3: [3 - CHAS (nominal)],
4: [4 - NOX (numeric)],
5: [5 - RM (numeric)],
6: [6 - AGE (numeric)],
7: [7 - DIS (numeric)],
8: [8 - RAD (nominal)],
9: [9 - TAX (numeric)],
10: [10 - PTRATIO (numeric)],
11: [11 - B (numeric)],
12: [12 - L... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 9.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 506.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 12.0,
'NumberOfSymbolicFeatures': 2.0,
'cos... | boston | [
"CRIM",
"ZN",
"INDUS",
"CHAS",
"NOX",
"RM",
"AGE",
"DIS",
"RAD",
"TAX",
"PTRATIO",
"B",
"LSTAT"
] | [
false,
false,
false,
true,
false,
false,
false,
false,
true,
false,
false,
false,
false
] | 489 |
5,512 | predictive_accuracy | accuracy_score | tr41.wc | null | {0: [0 - lighthous (numeric)],
1: [1 - conquest (numeric)],
2: [2 - algerian (numeric)],
3: [3 - banish (numeric)],
4: [4 - jerri (numeric)],
5: [5 - nationalist (numeric)],
6: [6 - evil (numeric)],
7: [7 - beirut (numeric)],
8: [8 - worrisom (numeric)],
9: [9 - stolen (numeric)],
10: [10 - durabl (numeric)],... | {'MajorityClassSize': 243.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 9.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 7455.0,
'NumberOfInstances': 878.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7454.0,
'NumberOfSymbolicFeatures': 1.... | tr41.wc | [
"lighthous",
"conquest",
"algerian",
"banish",
"jerri",
"nationalist",
"evil",
"beirut",
"worrisom",
"stolen",
"durabl",
"adburgham",
"restart",
"lee",
"avonmouth",
"wive",
"exot",
"tighter",
"tenth",
"polic",
"diane",
"perish",
"altimet",
"princeton",
"eb",
"diseas... | [
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,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 490 |
5,173 | mean_absolute_error | mean_absolute_error | lmpavw | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
-------------------------------------------------------------------------------
TIME SERIES USED IN
LONG-MEMORY PROCESSES, THE ALLAN VARIANCE AND WAVELETS
BY D. B. PERCIVAL AND P. GUTTORP, A CHAPTER IN
WAVELETS IN GEOPHYSICS
EDITED BY E. FOUFOULA... | {0: [0 - vertical_ocean_shear (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1.0,
'NumberOfInstances': 6875.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | lmpavw | [] | [] | 491 |
5,182 | mean_absolute_error | mean_absolute_error | analcatdata_apnea2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Automatic (nominal)],
1: [1 - Scorer_1 (nominal)],
2: [2 - Subject (numeric)],
3: [3 - Count (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 475.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_... | analcatdata_apnea2 | [
"Automatic",
"Scorer_1",
"Subject"
] | [
true,
true,
false
] | 492 |
146,835 | predictive_accuracy | accuracy_score | oh5.wc | **Author**: [George Forman](https://scholar.google.com/citations?user=r0a222QAAAAJ)
**Source**: http://tunedit.org/repo/Data/Text-wc/oh5.wc.arff
**Please cite**: | {0: [0 - depart (numeric)],
1: [1 - nephropathi (numeric)],
2: [2 - cluster (numeric)],
3: [3 - tenth (numeric)],
4: [4 - sudden (numeric)],
5: [5 - infus (numeric)],
6: [6 - imbal (numeric)],
7: [7 - gland (numeric)],
8: [8 - cyclophosphamid (numeric)],
9: [9 - furth (numeric)],
10: [10 - phagocytosi (numeri... | {'MajorityClassSize': 149.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 59.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 3013.0,
'NumberOfInstances': 918.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3012.0,
'NumberOfSymbolicFeatures': 1... | oh5.wc | [
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"nephropathi",
"cluster",
"tenth",
"sudden",
"infus",
"imbal",
"gland",
"cyclophosphamid",
"furth",
"phagocytosi",
"fetal",
"signific",
"penetr",
"hepat",
"cigarett",
"fusion",
"resist",
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"hypothyroid",
"posttraumat",
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"echocardiograph... | [
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5,170 | mean_absolute_error | mean_absolute_error | pollution | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is the pollution data so loved by writers of papers on ridge regression.
Source: McDonald, G.C. and Schwing, R.C. (1973) 'Instabilities of regression
estimates relating air pollution to mortality', Technometrics, vol.15, 463-
Variables in ord... | {0: [0 - PREC (numeric)],
1: [1 - JANT (numeric)],
2: [2 - JULT (numeric)],
3: [3 - OVR65 (numeric)],
4: [4 - POPN (numeric)],
5: [5 - EDUC (numeric)],
6: [6 - HOUS (numeric)],
7: [7 - DENS (numeric)],
8: [8 - NONW (numeric)],
9: [9 - WWDRK (numeric)],
10: [10 - POOR (numeric)],
11: [11 - HC (numeric)],
12:... | {'MajorityClassSize': nan,
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'NumberOfNumericFeatures': 16.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | pollution | [
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"DENS",
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"WWDRK",
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"SO2",
"HUMID"
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] | 494 |
146,870 | predictive_accuracy | accuracy_score | fourclass | **Author**: Tin Kam Ho and Eugene M. Kleinberg.
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**: Tin Kam Ho and Eugene M. Kleinberg.
Building projectable classifiers of arbitrary complexity.
In Proceedings of the 13th International Conference... | {0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - class (numeric)]} | {'MajorityClassSize': nan,
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'NumberOfSymbolicFeatures': 0.0,
'cost_... | fourclass | [
"att_1",
"att_2"
] | [
false,
false
] | 495 |
5,499 | predictive_accuracy | accuracy_score | tr31.wc | null | {0: [0 - cone (numeric)],
1: [1 - protection (numeric)],
2: [2 - wir (numeric)],
3: [3 - fright (numeric)],
4: [4 - resold (numeric)],
5: [5 - thirsti (numeric)],
6: [6 - isolina (numeric)],
7: [7 - lucho (numeric)],
8: [8 - wari (numeric)],
9: [9 - sermon (numeric)],
10: [10 - unwis (numeric)],
11: [11 - co... | {'MajorityClassSize': 352.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 7.0,
'NumberOfFeatures': 10129.0,
'NumberOfInstances': 927.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10128.0,
'NumberOfSymbolicFeatures': 1.... | tr31.wc | [
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"lucho",
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"sermon",
"unwis",
"commenc",
"optic",
"ah",
"reservoir",
"au",
"uninjur",
"deflat",
"enclav",
"narcodollar",
"delgado",
"jakarta",
"oxapampa",
"yonsei",
"modul",
"labell",
"in... | [
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f... | 496 |
146,829 | predictive_accuracy | accuracy_score | oh15.wc | null | {0: [0 - cluster (numeric)],
1: [1 - infus (numeric)],
2: [2 - gland (numeric)],
3: [3 - dopamin (numeric)],
4: [4 - phagocytosi (numeric)],
5: [5 - fetal (numeric)],
6: [6 - signific (numeric)],
7: [7 - penetr (numeric)],
8: [8 - hepat (numeric)],
9: [9 - cigarett (numeric)],
10: [10 - fusion (numeric)],
11... | {'MajorityClassSize': 157.0,
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'NumberOfNumericFeatures': 3100.0,
'NumberOfSymbolicFeatures': 1... | oh15.wc | [
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146,833 | predictive_accuracy | accuracy_score | oh0.wc | null | {0: [0 - depart (numeric)],
1: [1 - cluster (numeric)],
2: [2 - nephropathi (numeric)],
3: [3 - sudden (numeric)],
4: [4 - infus (numeric)],
5: [5 - gland (numeric)],
6: [6 - dopamin (numeric)],
7: [7 - fetal (numeric)],
8: [8 - signific (numeric)],
9: [9 - penetr (numeric)],
10: [10 - hepat (numeric)],
11: ... | {'MajorityClassSize': 194.0,
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'NumberOfSymbolicFeatures': ... | oh0.wc | [
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146,872 | predictive_accuracy | accuracy_score | fourclass_scale | **Author**: Tin Kam Ho and Eugene M. Kleinberg.
libSVM","AAD group
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**:
#Dataset from the LIBSVM data repository.
Preprocessing: transform to two-class | {0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - class (numeric)]} | {'MajorityClassSize': nan,
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'cost_... | fourclass_scale | [
"att_1",
"att_2"
] | [
false,
false
] | 499 |
5,169 | mean_absolute_error | mean_absolute_error | socmob | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
17x17x2x2 tables of counts in GLIM-ready format used for the analyses
in Biblarz, Timothy J., and Adrian E. Raftery. 1993. "The Effects of
Family Disruption on Social Mobility." American Sociological Review
(In press). For further details of the d... | {0: [0 - fathers_occupation (nominal)],
1: [1 - sons_occupation (nominal)],
2: [2 - family_structure (nominal)],
3: [3 - race (nominal)],
4: [4 - counts_for_sons_first_occupation (numeric)],
5: [5 - counts_for_sons_current_occupation (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 17.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
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'NumberOfInstances': 1156.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 4.0,
'cos... | socmob | [
"fathers_occupation",
"sons_occupation",
"family_structure",
"race",
"counts_for_sons_first_occupation"
] | [
true,
true,
true,
true,
false
] | 500 |
146,873 | predictive_accuracy | accuracy_score | german.numer | null | {0: [0 - att_1 (numeric)],
1: [1 - att_2 (numeric)],
2: [2 - att_3 (numeric)],
3: [3 - att_4 (numeric)],
4: [4 - att_5 (numeric)],
5: [5 - att_6 (numeric)],
6: [6 - att_7 (numeric)],
7: [7 - att_8 (numeric)],
8: [8 - att_9 (numeric)],
9: [9 - att_10 (numeric)],
10: [10 - att_11 (numeric)],
11: [11 - att_12 (... | {'MajorityClassSize': nan,
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'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 25.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | german.numer | [
"att_1",
"att_2",
"att_3",
"att_4",
"att_5",
"att_6",
"att_7",
"att_8",
"att_9",
"att_10",
"att_11",
"att_12",
"att_13",
"att_14",
"att_15",
"att_16",
"att_17",
"att_18",
"att_19",
"att_20",
"att_21",
"att_22",
"att_23",
"att_24"
] | [
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false,
false,
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] | 501 |
5,177 | mean_absolute_error | mean_absolute_error | quake | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
smoothmeth A collection of the data sets used in the book "Smoothing
Methods in Statistics," by Jeffrey S. Simonoff,
Springer-Verlag, New York, 1996. Submitted by Jeff
Simonoff (jsimonoff@stern.nyu.edu).
This submission... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 2178.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | quake | [
"col_1",
"col_2",
"col_3"
] | [
false,
false,
false
] | 502 |
146,871 | predictive_accuracy | accuracy_score | german.numer | null | {0: [0 - att_1 (numeric)],
1: [1 - att_2 (numeric)],
2: [2 - att_3 (numeric)],
3: [3 - att_4 (numeric)],
4: [4 - att_5 (numeric)],
5: [5 - att_6 (numeric)],
6: [6 - att_7 (numeric)],
7: [7 - att_8 (numeric)],
8: [8 - att_9 (numeric)],
9: [9 - att_10 (numeric)],
10: [10 - att_11 (numeric)],
11: [11 - att_12 (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 25.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | german.numer | [
"att_1",
"att_2",
"att_3",
"att_4",
"att_5",
"att_6",
"att_7",
"att_8",
"att_9",
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"att_17",
"att_18",
"att_19",
"att_20",
"att_21",
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"att_23",
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] | [
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] | 504 |
7,571 | predictive_accuracy | accuracy_score | colon-cancer | **Author**: U. Alon","N. Barkai","D. A. Notterman","K. Gish","S.Ybarra","D.Mack","and A. J. Levine.
libSVM","AAD group
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**: U. Alon, N. Barkai, D. A. Notterman, K. Gish, S.Ybarra, D.Mack, and A. J... | {0: [0 - att_1 (numeric)],
1: [1 - att_2 (numeric)],
2: [2 - att_3 (numeric)],
3: [3 - att_4 (numeric)],
4: [4 - att_5 (numeric)],
5: [5 - att_6 (numeric)],
6: [6 - att_7 (numeric)],
7: [7 - att_8 (numeric)],
8: [8 - att_9 (numeric)],
9: [9 - att_10 (numeric)],
10: [10 - att_11 (numeric)],
11: [11 - att_12 (... | {'MajorityClassSize': nan,
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'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 2001.0,
'NumberOfInstances': 62.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2001.0,
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'... | colon-cancer | [
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5,073 | 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)],
1: [1 - MAANTHUI (numeric)],
2: [2 - MGEMOMV (numeric)],
3: [3 - MGEMLEEF (numeric)],
4: [4 - MOSHOOFD (numeric)],
5: [5 - MGODRK (numeric)],
6: [6 - MGODPR (numeric)],
7: [7 - MGODOV (numeric)],
8: [8 - MGODGE (numeric)],
9: [9 - MRELGE (numeric)],
10: [10 - MRELSA (numeric)],
1... | {'MajorityClassSize': nan,
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'NumberOfNumericFeatures': 86.0,
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'co... | coil2000 | [
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5,176 | mean_absolute_error | mean_absolute_error | strikes | **Author**: Bruce Western (western@datacomm.iue.it)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 1999
**Please cite**:
The data consist of annual observations on the level of strike volume (days lost due to industrial disputes per 1000 wage salary earners), and their covariates in 18 OECD countri... | {0: [0 - country_code (numeric)],
1: [1 - year (numeric)],
2: [2 - strike_volume (numeric)],
3: [3 - unemployment (numeric)],
4: [4 - inflation (numeric)],
5: [5 - parliamentary_representation (numeric)],
6: [6 - union_centralization (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 625.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | strikes | [
"country_code",
"year",
"unemployment",
"inflation",
"parliamentary_representation",
"union_centralization"
] | [
false,
false,
false,
false,
false,
false
] | 507 |
146,838 | predictive_accuracy | accuracy_score | tr12.wc | null | {0: [0 - saga (numeric)],
1: [1 - stumble (numeric)],
2: [2 - abu (numeric)],
3: [3 - membership (numeric)],
4: [4 - rc (numeric)],
5: [5 - cherish (numeric)],
6: [6 - airwai (numeric)],
7: [7 - concur (numeric)],
8: [8 - ravag (numeric)],
9: [9 - perestroyka (numeric)],
10: [10 - rf (numeric)],
11: [11 - 0 ... | {'MajorityClassSize': 93.0,
'MaxNominalAttDistinctValues': 8.0,
'MinorityClassSize': 9.0,
'NumberOfClasses': 8.0,
'NumberOfFeatures': 5805.0,
'NumberOfInstances': 313.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5804.0,
'NumberOfSymbolicFeatures': 1.0,
... | tr12.wc | [
"saga",
"stumble",
"abu",
"membership",
"rc",
"cherish",
"airwai",
"concur",
"ravag",
"perestroyka",
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"product",
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"anglo",
"aqueou",
"deton",
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12,721 | predictive_accuracy | accuracy_score | splice | **Author**: Delve Datasets
libSVM","AAD group
**Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown
**Please cite**:
#Dataset from the LIBSVM data repository.
Preprocessing: scaled to [-1,1] | {0: [0 - att_1 (numeric)],
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11: [11 - att_12 (... | {'MajorityClassSize': nan,
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146,836 | predictive_accuracy | accuracy_score | re1.wc | null | {0: [0 - imbal (numeric)],
1: [1 - subsidis (numeric)],
2: [2 - signific (numeric)],
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9: [9 - decision (numeric)],
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11: [1... | {'MajorityClassSize': 371.0,
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'NumberOfClasses': 25.0,
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'NumberOfSymbolicFeatures': ... | re1.wc | [
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f... | 510 |
146,827 | predictive_accuracy | accuracy_score | tr21.wc | null | {0: [0 - noteworthi (numeric)],
1: [1 - parad (numeric)],
2: [2 - naval (numeric)],
3: [3 - ward (numeric)],
4: [4 - dock (numeric)],
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6: [6 - tonnag (numeric)],
7: [7 - maine (numeric)],
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11: [11 - libert... | {'MajorityClassSize': 231.0,
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'NumberOfFeatures': 7903.0,
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'NumberOfNumericFeatures': 7902.0,
'NumberOfSymbolicFeatures': 1.0,... | tr21.wc | [
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f... | 511 |
146,831 | predictive_accuracy | accuracy_score | tr23.wc | null | {0: [0 - utmost (numeric)],
1: [1 - secondli (numeric)],
2: [2 - neglect (numeric)],
3: [3 - shalala (numeric)],
4: [4 - weekend (numeric)],
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6: [6 - formul (numeric)],
7: [7 - lump (numeric)],
8: [8 - belt (numeric)],
9: [9 - cranston (numeric)],
10: [10 - sympathi (numeric)],
11... | {'MajorityClassSize': 91.0,
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'NumberOfClasses': 6.0,
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f... | 512 |
5,179 | mean_absolute_error | mean_absolute_error | detroit | **Author**: J.C. Fisher
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 1992
**Please cite**:
Data on the homicide rate in Detroit for the years 1961-1973. This is the data set called DETROIT in the book 'Subset selection in regression' by Alan J. Miller published in the Chapman & Hall series of mono... | {0: [0 - FTP (numeric)],
1: [1 - UEMP (numeric)],
2: [2 - MAN (numeric)],
3: [3 - LIC (numeric)],
4: [4 - GR (numeric)],
5: [5 - CLEAR (numeric)],
6: [6 - WM (numeric)],
7: [7 - NMAN (numeric)],
8: [8 - GOV (numeric)],
9: [9 - HE (numeric)],
10: [10 - WE (numeric)],
11: [11 - HOM (numeric)],
12: [12 - ACC (... | {'MajorityClassSize': nan,
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'NumberOfClasses': 0.0,
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'cost... | detroit | [
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