Datasets:
asingh15
/
openml

Dataset card Data Studio Files
xet
 Community
1
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30 values
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⌀
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2,313
mean_absolute_error
mean_absolute_error
puma8NH
**Author**: **Source**: Unknown - **Please cite**: This is 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 the same ...
{0: [0 - theta1 (numeric)], 1: [1 - theta2 (numeric)], 2: [2 - theta3 (numeric)], 3: [3 - thetad1 (numeric)], 4: [4 - thetad2 (numeric)], 5: [5 - thetad3 (numeric)], 6: [6 - tau1 (numeric)], 7: [7 - tau2 (numeric)], 8: [8 - thetadd3 (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 9.0, 'NumberOfInstances': 8192.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 9.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
puma8NH
[ "theta1", "theta2", "theta3", "thetad1", "thetad2", "thetad3", "tau1", "tau2" ]
[ false, false, false, false, false, false, false, false ]
0
4,746
mean_absolute_error
mean_absolute_error
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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
1
4,733
mean_absolute_error
mean_absolute_error
pbc
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. X treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length ...
{0: [0 - D (nominal)], 1: [1 - Z1 (nominal)], 2: [2 - Z2 (numeric)], 3: [3 - Z3 (nominal)], 4: [4 - Z4 (nominal)], 5: [5 - Z5 (nominal)], 6: [6 - Z6 (nominal)], 7: [7 - Z7 (nominal)], 8: [8 - Z8 (numeric)], 9: [9 - Z9 (numeric)], 10: [10 - Z10 (numeric)], 11: [11 - Z11 (numeric)], 12: [12 - Z12 (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 4.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 19.0, 'NumberOfInstances': 418.0, 'NumberOfInstancesWithMissingValues': 142.0, 'NumberOfMissingValues': 1239.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 8.0, ...
pbc
[ "D", "Z1", "Z2", "Z3", "Z4", "Z5", "Z6", "Z7", "Z8", "Z9", "Z10", "Z11", "Z12", "Z13", "Z14", "Z15", "Z16", "Z17" ]
[ true, true, false, true, true, true, true, true, false, false, false, false, false, false, false, false, false, true ]
2
2,312
mean_absolute_error
mean_absolute_error
breastTumor
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Tumor-size treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. I...
{0: [0 - age (numeric)], 1: [1 - menopause (nominal)], 2: [2 - inv-nodes (nominal)], 3: [3 - node-caps (nominal)], 4: [4 - deg-malig (nominal)], 5: [5 - breast (nominal)], 6: [6 - breast-quad (nominal)], 7: [7 - irradiation (nominal)], 8: [8 - recurrence (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 18.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 286.0, 'NumberOfInstancesWithMissingValues': 9.0, 'NumberOfMissingValues': 9.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 8.0, 'cos...
breastTumor
[ "age", "menopause", "inv-nodes", "node-caps", "deg-malig", "breast", "breast-quad", "irradiation", "recurrence" ]
[ false, true, true, true, true, true, true, true, true ]
3
4,754
mean_absolute_error
mean_absolute_error
la2s.wc
null
{0: [0 - aa (numeric)], 1: [1 - aaa (numeric)], 2: [2 - aaron (numeric)], 3: [3 - aase (numeric)], 4: [4 - ab (numeric)], 5: [5 - abandon (numeric)], 6: [6 - abat (numeric)], 7: [7 - abbe (numeric)], 8: [8 - abc (numeric)], 9: [9 - abdi (numeric)], 10: [10 - abdomen (numeric)], 11: [11 - abdomin (numeric)], ...
{'MajorityClassSize': 905.0, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': 248.0, 'NumberOfClasses': 6.0, 'NumberOfFeatures': 12433.0, 'NumberOfInstances': 3075.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 12432.0, 'NumberOfSymbolicFeatures':...
la2s.wc
[ "aa", "aaa", "aaron", "aase", "ab", "abandon", "abat", "abbe", "abc", "abdi", "abdomen", "abdomin", "abduct", "abdul", "abe", "abet", "abhorr", "abid", "abil", "able", "abnorm", "aboard", "abolish", "abolit", "abort", "abound", "abraham", "abram", "abroad", ...
[ 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...
4
2,320
mean_absolute_error
mean_absolute_error
fishcatch
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Weight treated as the class attribute. Identifier deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding len...
{0: [0 - Species (nominal)], 1: [1 - Length1 (numeric)], 2: [2 - Length2 (numeric)], 3: [3 - Length3 (numeric)], 4: [4 - Height (numeric)], 5: [5 - Width (numeric)], 6: [6 - Sex (nominal)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 7.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 158.0, 'NumberOfInstancesWithMissingValues': 87.0, 'NumberOfMissingValues': 87.0, 'NumberOfNumericFeatures': 6.0, 'NumberOfSymbolicFeatures': 2.0, 'cos...
fishcatch
[ "Species", "Length1", "Length2", "Length3", "Height", "Width", "Sex" ]
[ true, false, false, false, false, false, true ]
5
4,798
mean_absolute_error
mean_absolute_error
pah
**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': 113.0, 'NumberOfInstances': 80.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 113.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
pah
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
7
4,780
mean_absolute_error
mean_absolute_error
qsbr_y2
**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': 25.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 10.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
qsbr_y2
[ "oz1", "oz2", "oz3", "oz4", "oz5", "oz6", "oz7", "oz8", "oz9" ]
[ false, false, false, false, false, false, false, false, false ]
8
2,293
mean_absolute_error
mean_absolute_error
autoHorse
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Horsepower treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. I...
{0: [0 - symboling (numeric)], 1: [1 - normalized-losses (numeric)], 2: [2 - make (nominal)], 3: [3 - fuel-type (nominal)], 4: [4 - aspiration (nominal)], 5: [5 - num-of-doors (numeric)], 6: [6 - body-style (nominal)], 7: [7 - drive-wheels (nominal)], 8: [8 - engine-location (nominal)], 9: [9 - wheel-base (num...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 22.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 26.0, 'NumberOfInstances': 205.0, 'NumberOfInstancesWithMissingValues': 46.0, 'NumberOfMissingValues': 59.0, 'NumberOfNumericFeatures': 18.0, 'NumberOfSymbolicFeatures': 8.0, '...
autoHorse
[ "symboling", "normalized-losses", "make", "fuel-type", "aspiration", "num-of-doors", "body-style", "drive-wheels", "engine-location", "wheel-base", "length", "width", "height", "curb-weight", "engine-type", "num-of-cylinders", "engine-size", "fuel-system", "bore", "stroke", "...
[ false, false, true, true, true, false, true, true, true, false, false, false, false, false, true, false, false, true, false, false, false, false, false, false, false ]
9
3,007
predictive_accuracy
accuracy_score
satellite_image
**Author**: **Source**: Unknown - 1993 **Please cite**: Source: Ashwin Srinivasan Department of Statistics and Data Modeling University of Strathclyde Glasgow Scotland UK ross '@' uk.ac.turing The original Landsat data for this database was generated from data purchased from NASA by the Australian Centre for ...
{0: [0 - attr1 (numeric)], 1: [1 - attr2 (numeric)], 2: [2 - attr3 (numeric)], 3: [3 - attr4 (numeric)], 4: [4 - attr5 (numeric)], 5: [5 - attr6 (numeric)], 6: [6 - attr7 (numeric)], 7: [7 - attr8 (numeric)], 8: [8 - attr9 (numeric)], 9: [9 - attr10 (numeric)], 10: [10 - attr11 (numeric)], 11: [11 - attr12 (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 37.0, 'NumberOfInstances': 6435.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 37.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
satellite_image
[ "attr1", "attr2", "attr3", "attr4", "attr5", "attr6", "attr7", "attr8", "attr9", "attr10", "attr11", "attr12", "attr13", "attr14", "attr15", "attr16", "attr17", "attr18", "attr19", "attr20", "attr21", "attr22", "attr23", "attr24", "attr25", "attr26", "attr27", "...
[ 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...
10
4,714
mean_absolute_error
mean_absolute_error
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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
11
2,302
mean_absolute_error
mean_absolute_error
longley
**Author**: **Source**: Unknown - **Please cite**: Data from StatLib (ftp stat.cmu.edu/datasets) The infamous Longley data, "An appraisal of least-squares programs from the point of view of the user", JASA, 62(1967) p819-841. Variables are: Number of people employed (usually the y variable) ...
{0: [0 - deflator (numeric)], 1: [1 - GNP (numeric)], 2: [2 - unemployed (numeric)], 3: [3 - armed_forces (numeric)], 4: [4 - population (numeric)], 5: [5 - year (numeric)], 6: [6 - employed (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7.0, 'NumberOfInstances': 16.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 0.0, 'cost_m...
longley
[ "deflator", "GNP", "unemployed", "armed_forces", "population", "year" ]
[ false, false, false, false, false, false ]
12
4,748
mean_absolute_error
mean_absolute_error
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
[ "cone", "protection", "wir", "fright", "resold", "thirsti", "isolina", "lucho", "wari", "sermon", "unwis", "commenc", "optic", "ah", "reservoir", "au", "uninjur", "deflat", "enclav", "narcodollar", "delgado", "jakarta", "oxapampa", "yonsei", "modul", "labell", "in...
[ 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...
13
4,808
mean_absolute_error
mean_absolute_error
benzo32
**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': 33.0, 'NumberOfInstances': 195.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 33.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
benzo32
[ "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" ]
[ 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 ]
14
2,317
mean_absolute_error
mean_absolute_error
pwLinear
**Author**: **Source**: Unknown - **Please cite**: As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connectionist-Based Information Systems. Singapore: Springer-Verlag.
{0: [0 - a1 (numeric)], 1: [1 - a2 (numeric)], 2: [2 - a3 (numeric)], 3: [3 - a4 (numeric)], 4: [4 - a5 (numeric)], 5: [5 - a6 (numeric)], 6: [6 - a7 (numeric)], 7: [7 - a8 (numeric)], 8: [8 - a9 (numeric)], 9: [9 - a10 (numeric)], 10: [10 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 200.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
pwLinear
[ "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9", "a10" ]
[ false, false, false, false, false, false, false, false, false, false ]
15
4,761
mean_absolute_error
mean_absolute_error
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...
16
3,005
predictive_accuracy
accuracy_score
fishcatch
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Weight treated as the class attribute. Identifier deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding len...
{0: [0 - Species (nominal)], 1: [1 - Length1 (numeric)], 2: [2 - Length2 (numeric)], 3: [3 - Length3 (numeric)], 4: [4 - Height (numeric)], 5: [5 - Width (numeric)], 6: [6 - Sex (nominal)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 7.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 158.0, 'NumberOfInstancesWithMissingValues': 87.0, 'NumberOfMissingValues': 87.0, 'NumberOfNumericFeatures': 6.0, 'NumberOfSymbolicFeatures': 2.0, 'cos...
fishcatch
[ "Species", "Length1", "Length2", "Length3", "Height", "Width", "Sex" ]
[ true, false, false, false, false, false, true ]
17
4,753
mean_absolute_error
mean_absolute_error
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...
18
4,815
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, 'NumberOfInstances': 15.0, '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, false, false, false ]
19
2,319
mean_absolute_error
mean_absolute_error
hungarian
**Author**: **Source**: Unknown - **Please cite**: Publication Request: >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> This file describes the contents of the heart-disease directory. This directory contains 4 databases concerning heart disease diagnosis. All attribu...
{0: [0 - age (numeric)], 1: [1 - sex (nominal)], 2: [2 - cp (nominal)], 3: [3 - trestbps (numeric)], 4: [4 - chol (numeric)], 5: [5 - fbs (nominal)], 6: [6 - restecg (nominal)], 7: [7 - thalach (numeric)], 8: [8 - exang (nominal)], 9: [9 - oldpeak (numeric)], 10: [10 - slope (nominal)], 11: [11 - ca (numeric...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 4.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 14.0, 'NumberOfInstances': 294.0, 'NumberOfInstancesWithMissingValues': 293.0, 'NumberOfMissingValues': 782.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 7.0, '...
hungarian
[ "age", "sex", "cp", "trestbps", "chol", "fbs", "restecg", "thalach", "exang", "oldpeak", "slope", "ca", "thal" ]
[ false, true, true, false, false, true, true, false, true, false, true, false, true ]
20
2,315
mean_absolute_error
mean_absolute_error
cpu_small
**Author**: **Source**: Unknown - **Please cite**: The Computer Activity databases are a collection of computer systems activity measures. The data was collected from a Sun Sparcstation 20/712 with 128 Mbytes of memory running in a multi-user university department. Users would typically be doing a large va...
{0: [0 - lread (numeric)], 1: [1 - lwrite (numeric)], 2: [2 - scall (numeric)], 3: [3 - sread (numeric)], 4: [4 - swrite (numeric)], 5: [5 - fork (numeric)], 6: [6 - exec (numeric)], 7: [7 - rchar (numeric)], 8: [8 - wchar (numeric)], 9: [9 - runqsz (numeric)], 10: [10 - freemem (numeric)], 11: [11 - freeswa...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 13.0, 'NumberOfInstances': 8192.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 13.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
cpu_small
[ "lread", "lwrite", "scall", "sread", "swrite", "fork", "exec", "rchar", "wchar", "runqsz", "freemem", "freeswap" ]
[ false, false, false, false, false, false, false, false, false, false, false, false ]
21
3,001
predictive_accuracy
accuracy_score
echoMonths
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Survival treated as the class attribute As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In P...
{0: [0 - still_alive (nominal)], 1: [1 - age (numeric)], 2: [2 - pericardial (nominal)], 3: [3 - fractional (numeric)], 4: [4 - epss (numeric)], 5: [5 - lvdd (numeric)], 6: [6 - wall_score (numeric)], 7: [7 - wall_index (numeric)], 8: [8 - alive_at_1 (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 2.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 130.0, 'NumberOfInstancesWithMissingValues': 69.0, 'NumberOfMissingValues': 97.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 3.0, 'co...
echoMonths
[ "still_alive", "age", "pericardial", "fractional", "epss", "lvdd", "wall_score", "wall_index", "alive_at_1" ]
[ true, false, true, false, false, false, false, false, true ]
22
4,736
mean_absolute_error
mean_absolute_error
autoPrice
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! All nominal attributes and instances with missing values are deleted. Price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric predictio...
{0: [0 - symboling (numeric)], 1: [1 - normalized-losses (numeric)], 2: [2 - wheel-base (numeric)], 3: [3 - length (numeric)], 4: [4 - width (numeric)], 5: [5 - height (numeric)], 6: [6 - curb-weight (numeric)], 7: [7 - engine-size (numeric)], 8: [8 - bore (numeric)], 9: [9 - stroke (numeric)], 10: [10 - comp...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 16.0, 'NumberOfInstances': 159.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 16.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
autoPrice
[ "symboling", "normalized-losses", "wheel-base", "length", "width", "height", "curb-weight", "engine-size", "bore", "stroke", "compression-ratio", "horsepower", "peak-rpm", "city-mpg", "highway-mpg" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
23
4,745
mean_absolute_error
mean_absolute_error
libras_move
**Author**: Daniel Baptista Dias, Sarajane Marques Peres, Helton Hideraldo Biscaro University of Sao Paulo, School of Art, Sciences and Humanities, Sao Paulo, SP, Brazil **Source**: Unknown - November 2008 **Please cite**: ### LIBRAS Movement Database LIBRAS, acronym of the Portuguese name "LIngua BRAsileira ...
{0: [0 - xcoord1 (numeric)], 1: [1 - ycoord1 (numeric)], 2: [2 - xcoord2 (numeric)], 3: [3 - ycoord2 (numeric)], 4: [4 - xcoord3 (numeric)], 5: [5 - ycoord3 (numeric)], 6: [6 - xcoord4 (numeric)], 7: [7 - ycoord4 (numeric)], 8: [8 - xcoord5 (numeric)], 9: [9 - ycoord5 (numeric)], 10: [10 - xcoord6 (numeric)],...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 91.0, 'NumberOfInstances': 360.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 91.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
libras_move
[ "xcoord1", "ycoord1", "xcoord2", "ycoord2", "xcoord3", "ycoord3", "xcoord4", "ycoord4", "xcoord5", "ycoord5", "xcoord6", "ycoord6", "xcoord7", "ycoord7", "xcoord8", "ycoord8", "xcoord9", "ycoord9", "xcoord10", "ycoord10", "xcoord11", "ycoord11", "xcoord12", "ycoord12", ...
[ 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...
24
4,715
mean_absolute_error
mean_absolute_error
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",...
[ 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...
25
4,728
mean_absolute_error
mean_absolute_error
cpu
**Author**: **Source**: Unknown - Date unknown **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2 and 8 deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Prog...
{0: [0 - vendor (nominal)], 1: [1 - MYCT (numeric)], 2: [2 - MMIN (numeric)], 3: [3 - MMAX (numeric)], 4: [4 - CACH (numeric)], 5: [5 - CHMIN (numeric)], 6: [6 - CHMAX (numeric)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 30.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 209.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 1.0, 'cost...
cpu
[ "vendor", "MYCT", "MMIN", "MMAX", "CACH", "CHMIN", "CHMAX" ]
[ true, false, false, false, false, false, false ]
26
2,301
mean_absolute_error
mean_absolute_error
cloud
**Author**: **Source**: Unknown - **Please cite**: Data from StatLib (ftp stat.cmu.edu/datasets) These data are those collected in a cloud-seeding experiment in Tasmania between mid-1964 and January 1971. Their analysis, using regression techniques and permutation tests, is discussed in: Miller...
{0: [0 - period (numeric)], 1: [1 - seeded (nominal)], 2: [2 - season (nominal)], 3: [3 - NC (numeric)], 4: [4 - SC (numeric)], 5: [5 - NWC (numeric)], 6: [6 - TE (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 4.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 6.0, 'NumberOfInstances': 108.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 4.0, 'NumberOfSymbolicFeatures': 2.0, 'cost_...
cloud
[ "seeded", "season", "NC", "SC", "NWC" ]
[ true, true, false, false, false ]
27
2,291
mean_absolute_error
mean_absolute_error
pbc
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. X treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length ...
{0: [0 - D (nominal)], 1: [1 - Z1 (nominal)], 2: [2 - Z2 (numeric)], 3: [3 - Z3 (nominal)], 4: [4 - Z4 (nominal)], 5: [5 - Z5 (nominal)], 6: [6 - Z6 (nominal)], 7: [7 - Z7 (nominal)], 8: [8 - Z8 (numeric)], 9: [9 - Z9 (numeric)], 10: [10 - Z10 (numeric)], 11: [11 - Z11 (numeric)], 12: [12 - Z12 (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 4.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 19.0, 'NumberOfInstances': 418.0, 'NumberOfInstancesWithMissingValues': 142.0, 'NumberOfMissingValues': 1239.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 8.0, ...
pbc
[ "D", "Z1", "Z2", "Z3", "Z4", "Z5", "Z6", "Z7", "Z8", "Z9", "Z10", "Z11", "Z12", "Z13", "Z14", "Z15", "Z16", "Z17" ]
[ true, true, false, true, true, true, true, true, false, false, false, false, false, false, false, false, false, true ]
28
4,789
mean_absolute_error
mean_absolute_error
thompson
**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': 8.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 1143.0, 'NumberOfSymbolicFeatures': 0.0, 'c...
thompson
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
29
2,284
mean_absolute_error
mean_absolute_error
bolts
**Author**: **Source**: Unknown - **Please cite**: Data from StatLib (ftp stat.cmu.edu/datasets) SUMMARY: Data from an experiment on the affects of machine adjustments on the time to count bolts. Data appear as the STATS (Issue 10) Challenge. DATA: Submitted by W. Robert Stephenson, Iowa State U...
{0: [0 - RUN (numeric)], 1: [1 - SPEED1 (numeric)], 2: [2 - TOTAL (numeric)], 3: [3 - SPEED2 (numeric)], 4: [4 - NUMBER2 (numeric)], 5: [5 - SENS (numeric)], 6: [6 - TIME (numeric)], 7: [7 - T20BOLT (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7.0, 'NumberOfInstances': 40.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 0.0, 'cost_m...
bolts
[ "SPEED1", "TOTAL", "SPEED2", "NUMBER2", "SENS", "TIME" ]
[ false, false, false, false, false, false ]
30
4,717
mean_absolute_error
mean_absolute_error
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...
31
4,735
mean_absolute_error
mean_absolute_error
lowbwt
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identification code deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress i...
{0: [0 - LOW (nominal)], 1: [1 - AGE (numeric)], 2: [2 - LWT (numeric)], 3: [3 - RACE (nominal)], 4: [4 - SMOKE (nominal)], 5: [5 - PTL (nominal)], 6: [6 - HT (nominal)], 7: [7 - UI (nominal)], 8: [8 - FTV (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 189.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3.0, 'NumberOfSymbolicFeatures': 7.0, 'cost...
lowbwt
[ "LOW", "AGE", "LWT", "RACE", "SMOKE", "PTL", "HT", "UI", "FTV" ]
[ true, false, false, true, true, true, true, true, true ]
32
4,713
mean_absolute_error
mean_absolute_error
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",...
[ 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...
33
4,826
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 ]
34
4,801
mean_absolute_error
mean_absolute_error
qsfrdhla
**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': 34.0, 'NumberOfInstances': 16.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 34.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
qsfrdhla
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
35
4,777
mean_absolute_error
mean_absolute_error
heyl
**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': 11.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 1143.0, 'NumberOfSymbolicFeatures': 0.0, '...
heyl
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
36
4,709
mean_absolute_error
mean_absolute_error
libras_move
**Author**: Daniel Baptista Dias, Sarajane Marques Peres, Helton Hideraldo Biscaro University of Sao Paulo, School of Art, Sciences and Humanities, Sao Paulo, SP, Brazil **Source**: Unknown - November 2008 **Please cite**: ### LIBRAS Movement Database LIBRAS, acronym of the Portuguese name "LIngua BRAsileira ...
{0: [0 - xcoord1 (numeric)], 1: [1 - ycoord1 (numeric)], 2: [2 - xcoord2 (numeric)], 3: [3 - ycoord2 (numeric)], 4: [4 - xcoord3 (numeric)], 5: [5 - ycoord3 (numeric)], 6: [6 - xcoord4 (numeric)], 7: [7 - ycoord4 (numeric)], 8: [8 - xcoord5 (numeric)], 9: [9 - ycoord5 (numeric)], 10: [10 - xcoord6 (numeric)],...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 91.0, 'NumberOfInstances': 360.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 91.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
libras_move
[ "xcoord1", "ycoord1", "xcoord2", "ycoord2", "xcoord3", "ycoord3", "xcoord4", "ycoord4", "xcoord5", "ycoord5", "xcoord6", "ycoord6", "xcoord7", "ycoord7", "xcoord8", "ycoord8", "xcoord9", "ycoord9", "xcoord10", "ycoord10", "xcoord11", "ycoord11", "xcoord12", "ycoord12", ...
[ 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...
37
4,730
mean_absolute_error
mean_absolute_error
auto93
**Author**: **Source**: Unknown - Date unknown **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2,4, and 6 deleted. Midrange price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-base...
{0: [0 - Manufacturer (nominal)], 1: [1 - Type (nominal)], 2: [2 - City_MPG (numeric)], 3: [3 - Highway_MPG (numeric)], 4: [4 - Air_Bags_standard (nominal)], 5: [5 - Drive_train_type (nominal)], 6: [6 - Number_of_cylinders (numeric)], 7: [7 - Engine_size (numeric)], 8: [8 - Horsepower (numeric)], 9: [9 - RPM (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 31.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 23.0, 'NumberOfInstances': 93.0, 'NumberOfInstancesWithMissingValues': 11.0, 'NumberOfMissingValues': 14.0, 'NumberOfNumericFeatures': 17.0, 'NumberOfSymbolicFeatures': 6.0, 'c...
auto93
[ "Manufacturer", "Type", "City_MPG", "Highway_MPG", "Air_Bags_standard", "Drive_train_type", "Number_of_cylinders", "Engine_size", "Horsepower", "RPM", "Engine_revolutions_per_mile", "Manual_transmission_available", "Fuel_tank_capacity", "Passenger_capacity", "Length", "Wheelbase", "W...
[ true, true, false, false, true, true, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, true ]
38
4,750
mean_absolute_error
mean_absolute_error
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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
39
4,737
mean_absolute_error
mean_absolute_error
pharynx
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connec...
{0: [0 - Inst (nominal)], 1: [1 - sex (nominal)], 2: [2 - Treatment (nominal)], 3: [3 - Grade (nominal)], 4: [4 - Age (numeric)], 5: [5 - Condition (nominal)], 6: [6 - Site (nominal)], 7: [7 - T (nominal)], 8: [8 - N (nominal)], 9: [9 - Entry (nominal)], 10: [10 - Status (nominal)], 11: [11 - class (numeric)...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 184.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 195.0, 'NumberOfInstancesWithMissingValues': 2.0, 'NumberOfMissingValues': 2.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 9.0, 'co...
pharynx
[ "Inst", "sex", "Treatment", "Grade", "Age", "Condition", "Site", "T", "N", "Status" ]
[ true, true, true, true, false, true, true, true, true, true ]
40
2,311
mean_absolute_error
mean_absolute_error
stock
**Author**: **Source**: Unknown - **Please cite**: This is a dataset obtained from the StatLib repository. Here is the included description: The data provided are daily stock prices from January 1988 through October 1991, for ten aerospace companies. Source: collection of regression datasets by Luis Torgo...
{0: [0 - company1 (numeric)], 1: [1 - company2 (numeric)], 2: [2 - company3 (numeric)], 3: [3 - company4 (numeric)], 4: [4 - company5 (numeric)], 5: [5 - company6 (numeric)], 6: [6 - company7 (numeric)], 7: [7 - company8 (numeric)], 8: [8 - company9 (numeric)], 9: [9 - company10 (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 950.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 10.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
stock
[ "company1", "company2", "company3", "company4", "company5", "company6", "company7", "company8", "company9" ]
[ false, false, false, false, false, false, false, false, false ]
41
4,805
mean_absolute_error
mean_absolute_error
qsbralks
**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': 22.0, 'NumberOfInstances': 13.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 22.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
qsbralks
[ "oz1", "oz2", "oz3", "oz4", "oz5", "oz6", "oz7", "oz8", "oz9", "oz10", "oz11", "oz12", "oz13", "oz14", "oz15", "oz16", "oz17", "oz18", "oz19", "oz20", "oz21" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
42
4,763
mean_absolute_error
mean_absolute_error
bodyfat
**Author**: Roger W. Johnson **Source**: [UCI (not available anymore)](https://archive.ics.uci.edu/ml/index.php), [TunedIT](http://tunedit.org/repo/UCI/numeric/bodyfat.arff) **Please cite**: None. Short Summary: Lists estimates of the percentage of body fat determined by underwater weighing and various body circu...
{0: [0 - Density (numeric)], 1: [1 - Age (numeric)], 2: [2 - Weight (numeric)], 3: [3 - Height (numeric)], 4: [4 - Neck (numeric)], 5: [5 - Chest (numeric)], 6: [6 - Abdomen (numeric)], 7: [7 - Hip (numeric)], 8: [8 - Thigh (numeric)], 9: [9 - Knee (numeric)], 10: [10 - Ankle (numeric)], 11: [11 - Biceps (nu...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 15.0, 'NumberOfInstances': 252.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 15.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
bodyfat
[ "Density", "Age", "Weight", "Height", "Neck", "Chest", "Abdomen", "Hip", "Thigh", "Knee", "Ankle", "Biceps", "Forearm", "Wrist" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
43
4,821
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
[ "response_2", "response_3", "response_4", "response_5", "response_6", "response_7", "response_8", "response_9", "response_10", "response_11", "response_12", "response_13", "x1", "x2", "x3", "x1**2", "x2**2", "x3**2", "x1*x2", "x2*x3", "x3*x2" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, true, true, true, true, true, true, true, true, true ]
44
2,300
mean_absolute_error
mean_absolute_error
quake
**Author**: **Source**: Unknown - **Please cite**: Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag.
{0: [0 - focal_depth (numeric)], 1: [1 - latitude (numeric)], 2: [2 - longitude (numeric)], 3: [3 - richter (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 4.0, 'NumberOfInstances': 2178.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 4.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
quake
[ "focal_depth", "latitude", "longitude" ]
[ false, false, false ]
45
2,290
mean_absolute_error
mean_absolute_error
fruitfly
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! NAME: Sexual activity and the lifespan of male fruitflies TYPE: Designed (almost factorial) experiment SIZE: 125 observations, 5 variables DESCRI...
{0: [0 - PARTNERS (nominal)], 1: [1 - TYPE (nominal)], 2: [2 - THORAX (numeric)], 3: [3 - SLEEP (numeric)], 4: [4 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 3.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 5.0, 'NumberOfInstances': 125.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3.0, 'NumberOfSymbolicFeatures': 2.0, 'cost_...
fruitfly
[ "PARTNERS", "TYPE", "THORAX", "SLEEP" ]
[ true, true, false, false ]
46
4,767
mean_absolute_error
mean_absolute_error
sleep
**Author**: **Source**: Unknown - **Please cite**: Data from StatLib (ftp stat.cmu.edu/datasets) Data from which conclusions were drawn in the article "Sleep in Mammals: Ecological and Constitutional Correlates" by Allison, T. and Cicchetti, D. (1976), _Science_, November 12, vol. 194, pp. 732...
{0: [0 - body_weight (numeric)], 1: [1 - brain_weight (numeric)], 2: [2 - max_life_span (numeric)], 3: [3 - gestation_time (numeric)], 4: [4 - predation_index (numeric)], 5: [5 - sleep_exposure_index (numeric)], 6: [6 - danger_index (numeric)], 7: [7 - total_sleep (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 62.0, 'NumberOfInstancesWithMissingValues': 11.0, 'NumberOfMissingValues': 12.0, 'NumberOfNumericFeatures': 8.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
sleep
[ "body_weight", "brain_weight", "max_life_span", "gestation_time", "predation_index", "sleep_exposure_index", "total_sleep" ]
[ false, false, false, false, false, false, false ]
47
2,280
mean_absolute_error
mean_absolute_error
kin8nm
**Author**: **Source**: Unknown - **Please cite**: This is data set is concerned with the forward kinematics of an 8 link robot arm. Among the existing variants of this data set we have used the variant 8nm, which is known to be highly non-linear and medium noisy. Original source: DELVE repository of dat...
{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 - theta7 (numeric)], 7: [7 - theta8 (numeric)], 8: [8 - y (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 9.0, 'NumberOfInstances': 8192.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 9.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
kin8nm
[ "theta1", "theta2", "theta3", "theta4", "theta5", "theta6", "theta7", "theta8" ]
[ false, false, false, false, false, false, false, false ]
48
4,734
mean_absolute_error
mean_absolute_error
autoHorse
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Horsepower treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. I...
{0: [0 - symboling (numeric)], 1: [1 - normalized-losses (numeric)], 2: [2 - make (nominal)], 3: [3 - fuel-type (nominal)], 4: [4 - aspiration (nominal)], 5: [5 - num-of-doors (numeric)], 6: [6 - body-style (nominal)], 7: [7 - drive-wheels (nominal)], 8: [8 - engine-location (nominal)], 9: [9 - wheel-base (num...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 22.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 26.0, 'NumberOfInstances': 205.0, 'NumberOfInstancesWithMissingValues': 46.0, 'NumberOfMissingValues': 59.0, 'NumberOfNumericFeatures': 18.0, 'NumberOfSymbolicFeatures': 8.0, '...
autoHorse
[ "symboling", "normalized-losses", "make", "fuel-type", "aspiration", "num-of-doors", "body-style", "drive-wheels", "engine-location", "wheel-base", "length", "width", "height", "curb-weight", "engine-type", "num-of-cylinders", "engine-size", "fuel-system", "bore", "stroke", "...
[ false, false, true, true, true, false, true, true, true, false, false, false, false, false, true, false, false, true, false, false, false, false, false, false, false ]
49
3,000
predictive_accuracy
accuracy_score
pharynx
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connec...
{0: [0 - Inst (nominal)], 1: [1 - sex (nominal)], 2: [2 - Treatment (nominal)], 3: [3 - Grade (nominal)], 4: [4 - Age (numeric)], 5: [5 - Condition (nominal)], 6: [6 - Site (nominal)], 7: [7 - T (nominal)], 8: [8 - N (nominal)], 9: [9 - Entry (nominal)], 10: [10 - Status (nominal)], 11: [11 - class (numeric)...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 184.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 195.0, 'NumberOfInstancesWithMissingValues': 2.0, 'NumberOfMissingValues': 2.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 9.0, 'co...
pharynx
[ "Inst", "sex", "Treatment", "Grade", "Age", "Condition", "Site", "T", "N", "Status" ]
[ true, true, true, true, false, true, true, true, true, true ]
50
2,318
mean_absolute_error
mean_absolute_error
machine_cpu
**Author**: **Source**: Unknown - **Please cite**: The problem concerns Relative CPU Performance Data. More information can be obtained in the UCI Machine Learning repository (http://www.ics.uci.edu/~mlearn/MLSummary.html). The used attributes are : MYCT: machine cycle time in nanoseconds (integer) MMIN: ...
{0: [0 - MYCT (numeric)], 1: [1 - MMIN (numeric)], 2: [2 - MMAX (numeric)], 3: [3 - CACH (numeric)], 4: [4 - CHMIN (numeric)], 5: [5 - CHMAX (numeric)], 6: [6 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7.0, 'NumberOfInstances': 209.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 0.0, 'cost_...
machine_cpu
[ "MYCT", "MMIN", "MMAX", "CACH", "CHMIN", "CHMAX" ]
[ false, false, false, false, false, false ]
51
2,316
mean_absolute_error
mean_absolute_error
elusage
**Author**: **Source**: Unknown - **Please cite**: Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. Electicity usage is being treated as the class attribute.
{0: [0 - average_temperature (numeric)], 1: [1 - month (nominal)], 2: [2 - average_electricity_usage (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 12.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 3.0, 'NumberOfInstances': 55.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 1.0, 'cost_...
elusage
[ "average_temperature", "month" ]
[ false, true ]
52
3,004
predictive_accuracy
accuracy_score
machine_cpu
**Author**: **Source**: Unknown - **Please cite**: The problem concerns Relative CPU Performance Data. More information can be obtained in the UCI Machine Learning repository (http://www.ics.uci.edu/~mlearn/MLSummary.html). The used attributes are : MYCT: machine cycle time in nanoseconds (integer) MMIN: ...
{0: [0 - MYCT (numeric)], 1: [1 - MMIN (numeric)], 2: [2 - MMAX (numeric)], 3: [3 - CACH (numeric)], 4: [4 - CHMIN (numeric)], 5: [5 - CHMAX (numeric)], 6: [6 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7.0, 'NumberOfInstances': 209.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 0.0, 'cost_...
machine_cpu
[ "MYCT", "MMIN", "MMAX", "CACH", "CHMIN", "CHMAX" ]
[ false, false, false, false, false, false ]
53
2,310
mean_absolute_error
mean_absolute_error
echoMonths
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Survival treated as the class attribute As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In P...
{0: [0 - still_alive (nominal)], 1: [1 - age (numeric)], 2: [2 - pericardial (nominal)], 3: [3 - fractional (numeric)], 4: [4 - epss (numeric)], 5: [5 - lvdd (numeric)], 6: [6 - wall_score (numeric)], 7: [7 - wall_index (numeric)], 8: [8 - alive_at_1 (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 2.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 130.0, 'NumberOfInstancesWithMissingValues': 69.0, 'NumberOfMissingValues': 97.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 3.0, 'co...
echoMonths
[ "still_alive", "age", "pericardial", "fractional", "epss", "lvdd", "wall_score", "wall_index", "alive_at_1" ]
[ true, false, true, false, false, false, false, false, true ]
54
2,998
predictive_accuracy
accuracy_score
lowbwt
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identification code deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress i...
{0: [0 - LOW (nominal)], 1: [1 - AGE (numeric)], 2: [2 - LWT (numeric)], 3: [3 - RACE (nominal)], 4: [4 - SMOKE (nominal)], 5: [5 - PTL (nominal)], 6: [6 - HT (nominal)], 7: [7 - UI (nominal)], 8: [8 - FTV (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 189.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3.0, 'NumberOfSymbolicFeatures': 7.0, 'cost...
lowbwt
[ "LOW", "AGE", "LWT", "RACE", "SMOKE", "PTL", "HT", "UI", "FTV" ]
[ true, false, false, true, true, true, true, true, true ]
55
2,281
mean_absolute_error
mean_absolute_error
mbagrade
**Author**: **Source**: Unknown - **Please cite**: Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag.
{0: [0 - sex (nominal)], 1: [1 - GMAT (numeric)], 2: [2 - grade_point_average (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 2.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 3.0, 'NumberOfInstances': 61.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 1.0, 'cost_m...
mbagrade
[ "sex", "GMAT" ]
[ true, false ]
56
2,299
mean_absolute_error
mean_absolute_error
detroit
**Author**: **Source**: Unknown - **Please cite**: Data from StatLib (ftp stat.cmu.edu/datasets) 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 monographs on Statistics & Applied Probability, no. 40. The data...
{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, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 14.0, 'NumberOfInstances': 13.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 14.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
detroit
[ "FTP", "UEMP", "MAN", "LIC", "GR", "CLEAR", "WM", "NMAN", "GOV", "HE", "WE", "HOM", "ACC" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false ]
57
4,756
mean_absolute_error
mean_absolute_error
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...
[ 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...
58
4,721
mean_absolute_error
mean_absolute_error
la1s.wc
null
{0: [0 - aa (numeric)], 1: [1 - aaron (numeric)], 2: [2 - ab (numeric)], 3: [3 - aback (numeric)], 4: [4 - abandon (numeric)], 5: [5 - abat (numeric)], 6: [6 - abbe (numeric)], 7: [7 - abbrevi (numeric)], 8: [8 - abc (numeric)], 9: [9 - abdel (numeric)], 10: [10 - abdi (numeric)], 11: [11 - abdomen (numeric)...
{'MajorityClassSize': 943.0, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': 273.0, 'NumberOfClasses': 6.0, 'NumberOfFeatures': 13196.0, 'NumberOfInstances': 3204.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 13195.0, 'NumberOfSymbolicFeatures':...
la1s.wc
[ "aa", "aaron", "ab", "aback", "abandon", "abat", "abbe", "abbrevi", "abc", "abdel", "abdi", "abdomen", "abdomin", "abduct", "abdul", "abdullah", "abe", "aberr", "abet", "abid", "abil", "ablaz", "able", "abnorm", "aboard", "abolish", "abort", "abound", "abram",...
[ 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...
59
4,740
mean_absolute_error
mean_absolute_error
pwLinear
**Author**: **Source**: Unknown - **Please cite**: As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connectionist-Based Information Systems. Singapore: Springer-Verlag.
{0: [0 - a1 (numeric)], 1: [1 - a2 (numeric)], 2: [2 - a3 (numeric)], 3: [3 - a4 (numeric)], 4: [4 - a5 (numeric)], 5: [5 - a6 (numeric)], 6: [6 - a7 (numeric)], 7: [7 - a8 (numeric)], 8: [8 - a9 (numeric)], 9: [9 - a10 (numeric)], 10: [10 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 200.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
pwLinear
[ "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9", "a10" ]
[ false, false, false, false, false, false, false, false, false, false ]
60
4,719
mean_absolute_error
mean_absolute_error
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...
[ 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...
61
4,755
mean_absolute_error
mean_absolute_error
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...
[ 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...
62
2,289
mean_absolute_error
mean_absolute_error
delta_elevators
**Author**: Rui Camacho (rcamacho@garfield.fe.up.pt) **Source**: [Regression datasets collection Luis Torgo](http://www.dcc.fc.up.pt/~ltorgo/Regression/DataSets.html) **Please cite**: This data set is also obtained from the task of controlling the ailerons of a F16 aircraft, although the target variable and att...
{0: [0 - climbRate (numeric)], 1: [1 - Altitude (numeric)], 2: [2 - RollRate (numeric)], 3: [3 - curRoll (numeric)], 4: [4 - diffClb (numeric)], 5: [5 - diffDiffClb (numeric)], 6: [6 - Se (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7.0, 'NumberOfInstances': 9517.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
delta_elevators
[ "climbRate", "Altitude", "RollRate", "curRoll", "diffClb", "diffDiffClb" ]
[ false, false, false, false, false, false ]
63
4,791
mean_absolute_error
mean_absolute_error
tsutumi
**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, '...
tsutumi
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
64
4,739
mean_absolute_error
mean_absolute_error
breastTumor
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Tumor-size treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. I...
{0: [0 - age (numeric)], 1: [1 - menopause (nominal)], 2: [2 - inv-nodes (nominal)], 3: [3 - node-caps (nominal)], 4: [4 - deg-malig (nominal)], 5: [5 - breast (nominal)], 6: [6 - breast-quad (nominal)], 7: [7 - irradiation (nominal)], 8: [8 - recurrence (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 18.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 286.0, 'NumberOfInstancesWithMissingValues': 9.0, 'NumberOfMissingValues': 9.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 8.0, 'cos...
breastTumor
[ "age", "menopause", "inv-nodes", "node-caps", "deg-malig", "breast", "breast-quad", "irradiation", "recurrence" ]
[ false, true, true, true, true, true, true, true, true ]
65
4,749
mean_absolute_error
mean_absolute_error
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",...
[ 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...
66
4,710
mean_absolute_error
mean_absolute_error
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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
68
4,712
mean_absolute_error
mean_absolute_error
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
[ "cone", "protection", "wir", "fright", "resold", "thirsti", "isolina", "lucho", "wari", "sermon", "unwis", "commenc", "optic", "ah", "reservoir", "au", "uninjur", "deflat", "enclav", "narcodollar", "delgado", "jakarta", "oxapampa", "yonsei", "modul", "labell", "in...
[ 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...
69
2,308
mean_absolute_error
mean_absolute_error
pyrim
**Author**: **Source**: Unknown - **Please cite**: The task consists of Learning Quantitative Structure Activity Relationships (QSARs). The Inhibition of Dihydrofolate Reductase by Pyrimidines.The data are described in: King, Ross .D., Muggleton, Steven., Lewis, Richard. and Sternberg, Michael.J.E. Drug De...
{0: [0 - p1_polar (numeric)], 1: [1 - p1_size (numeric)], 2: [2 - p1_flex (numeric)], 3: [3 - p1_h_doner (numeric)], 4: [4 - p1_h_acceptor (numeric)], 5: [5 - p1_pi_doner (numeric)], 6: [6 - p1_pi_acceptor (numeric)], 7: [7 - p1_polarisable (numeric)], 8: [8 - p1_sigma (numeric)], 9: [9 - p2_polar (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 28.0, 'NumberOfInstances': 74.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 28.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
pyrim
[ "p1_polar", "p1_size", "p1_flex", "p1_h_doner", "p1_h_acceptor", "p1_pi_doner", "p1_pi_acceptor", "p1_polarisable", "p1_sigma", "p2_polar", "p2_size", "p2_flex", "p2_h_doner", "p2_h_acceptor", "p2_pi_doner", "p2_pi_acceptor", "p2_polarisable", "p2_sigma", "p3_polar", "p3_size",...
[ 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 ]
70
3,003
predictive_accuracy
accuracy_score
pwLinear
**Author**: **Source**: Unknown - **Please cite**: As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connectionist-Based Information Systems. Singapore: Springer-Verlag.
{0: [0 - a1 (numeric)], 1: [1 - a2 (numeric)], 2: [2 - a3 (numeric)], 3: [3 - a4 (numeric)], 4: [4 - a5 (numeric)], 5: [5 - a6 (numeric)], 6: [6 - a7 (numeric)], 7: [7 - a8 (numeric)], 8: [8 - a9 (numeric)], 9: [9 - a10 (numeric)], 10: [10 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 200.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
pwLinear
[ "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9", "a10" ]
[ false, false, false, false, false, false, false, false, false, false ]
71
2,996
predictive_accuracy
accuracy_score
pbc
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. X treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length ...
{0: [0 - D (nominal)], 1: [1 - Z1 (nominal)], 2: [2 - Z2 (numeric)], 3: [3 - Z3 (nominal)], 4: [4 - Z4 (nominal)], 5: [5 - Z5 (nominal)], 6: [6 - Z6 (nominal)], 7: [7 - Z7 (nominal)], 8: [8 - Z8 (numeric)], 9: [9 - Z9 (numeric)], 10: [10 - Z10 (numeric)], 11: [11 - Z11 (numeric)], 12: [12 - Z12 (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 4.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 19.0, 'NumberOfInstances': 418.0, 'NumberOfInstancesWithMissingValues': 142.0, 'NumberOfMissingValues': 1239.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 8.0, ...
pbc
[ "D", "Z1", "Z2", "Z3", "Z4", "Z5", "Z6", "Z7", "Z8", "Z9", "Z10", "Z11", "Z12", "Z13", "Z14", "Z15", "Z16", "Z17" ]
[ true, true, false, true, true, true, true, true, false, false, false, false, false, false, false, false, false, true ]
72
4,720
mean_absolute_error
mean_absolute_error
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...
[ 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...
73
2,999
predictive_accuracy
accuracy_score
autoPrice
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! All nominal attributes and instances with missing values are deleted. Price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric predictio...
{0: [0 - symboling (numeric)], 1: [1 - normalized-losses (numeric)], 2: [2 - wheel-base (numeric)], 3: [3 - length (numeric)], 4: [4 - width (numeric)], 5: [5 - height (numeric)], 6: [6 - curb-weight (numeric)], 7: [7 - engine-size (numeric)], 8: [8 - bore (numeric)], 9: [9 - stroke (numeric)], 10: [10 - comp...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 16.0, 'NumberOfInstances': 159.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 16.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
autoPrice
[ "symboling", "normalized-losses", "wheel-base", "length", "width", "height", "curb-weight", "engine-size", "bore", "stroke", "compression-ratio", "horsepower", "peak-rpm", "city-mpg", "highway-mpg" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
74
3,002
predictive_accuracy
accuracy_score
breastTumor
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Tumor-size treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. I...
{0: [0 - age (numeric)], 1: [1 - menopause (nominal)], 2: [2 - inv-nodes (nominal)], 3: [3 - node-caps (nominal)], 4: [4 - deg-malig (nominal)], 5: [5 - breast (nominal)], 6: [6 - breast-quad (nominal)], 7: [7 - irradiation (nominal)], 8: [8 - recurrence (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 18.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 286.0, 'NumberOfInstancesWithMissingValues': 9.0, 'NumberOfMissingValues': 9.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 8.0, 'cos...
breastTumor
[ "age", "menopause", "inv-nodes", "node-caps", "deg-malig", "breast", "breast-quad", "irradiation", "recurrence" ]
[ false, true, true, true, true, true, true, true, true ]
75
4,765
mean_absolute_error
mean_absolute_error
meta
**Author**: **Source**: Unknown - Date unknown **Please cite**: 1. Title: meta-data 2. Sources: (a) Creator: LIACC - University of Porto R.Campo Alegre 823 4150 PORTO (b) Donor: P.B.Brazdil or J.Gama Tel.: +351 600 1672 LIACC, University of Porto Fax.: +351 600 3654 Rua Campo Alegre...
{0: [0 - DS_Name (nominal)], 1: [1 - T (numeric)], 2: [2 - N (numeric)], 3: [3 - p (numeric)], 4: [4 - k (numeric)], 5: [5 - Bin (numeric)], 6: [6 - Cost (numeric)], 7: [7 - SDratio (numeric)], 8: [8 - correl (numeric)], 9: [9 - cancor1 (numeric)], 10: [10 - cancor2 (numeric)], 11: [11 - fract1 (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 24.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 22.0, 'NumberOfInstances': 528.0, 'NumberOfInstancesWithMissingValues': 264.0, 'NumberOfMissingValues': 504.0, 'NumberOfNumericFeatures': 20.0, 'NumberOfSymbolicFeatures': 2.0, ...
meta
[ "DS_Name", "T", "N", "p", "k", "Bin", "Cost", "SDratio", "correl", "cancor1", "cancor2", "fract1", "fract2", "skewness", "kurtosis", "Hc", "Hx", "MCx", "EnAtr", "NSRatio", "Alg_Name" ]
[ true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true ]
76
2,298
mean_absolute_error
mean_absolute_error
autoPrice
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! All nominal attributes and instances with missing values are deleted. Price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric predictio...
{0: [0 - symboling (numeric)], 1: [1 - normalized-losses (numeric)], 2: [2 - wheel-base (numeric)], 3: [3 - length (numeric)], 4: [4 - width (numeric)], 5: [5 - height (numeric)], 6: [6 - curb-weight (numeric)], 7: [7 - engine-size (numeric)], 8: [8 - bore (numeric)], 9: [9 - stroke (numeric)], 10: [10 - comp...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 16.0, 'NumberOfInstances': 159.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 16.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
autoPrice
[ "symboling", "normalized-losses", "wheel-base", "length", "width", "height", "curb-weight", "engine-size", "bore", "stroke", "compression-ratio", "horsepower", "peak-rpm", "city-mpg", "highway-mpg" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
77
2,286
mean_absolute_error
mean_absolute_error
auto_price
**Author**: **Source**: Unknown - **Please cite**: This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics; (b) its assigned insurance risk rating,; (c) its normalized losses in use as compared to other cars. The second rating corresponds to...
{0: [0 - symboling (nominal)], 1: [1 - normalized-losses (numeric)], 2: [2 - wheel-base (numeric)], 3: [3 - length (numeric)], 4: [4 - width (numeric)], 5: [5 - height (numeric)], 6: [6 - curb-weight (numeric)], 7: [7 - engine-size (numeric)], 8: [8 - bore (numeric)], 9: [9 - stroke (numeric)], 10: [10 - comp...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 16.0, 'NumberOfInstances': 159.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 15.0, 'NumberOfSymbolicFeatures': 1.0, 'cos...
auto_price
[ "symboling", "normalized-losses", "wheel-base", "length", "width", "height", "curb-weight", "engine-size", "bore", "stroke", "compression-ratio", "horsepower", "peak-rpm", "city-mpg", "highway-mpg" ]
[ true, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
78
4,782
mean_absolute_error
mean_absolute_error
depreux
**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': 26.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 1143.0, 'NumberOfSymbolicFeatures': 0.0, '...
depreux
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
79
4,795
mean_absolute_error
mean_absolute_error
selwood
**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': 54.0, 'NumberOfInstances': 31.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 54.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
selwood
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
80
4,738
mean_absolute_error
mean_absolute_error
echoMonths
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Survival treated as the class attribute As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In P...
{0: [0 - still_alive (nominal)], 1: [1 - age (numeric)], 2: [2 - pericardial (nominal)], 3: [3 - fractional (numeric)], 4: [4 - epss (numeric)], 5: [5 - lvdd (numeric)], 6: [6 - wall_score (numeric)], 7: [7 - wall_index (numeric)], 8: [8 - alive_at_1 (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 2.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 130.0, 'NumberOfInstancesWithMissingValues': 69.0, 'NumberOfMissingValues': 97.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 3.0, 'co...
echoMonths
[ "still_alive", "age", "pericardial", "fractional", "epss", "lvdd", "wall_score", "wall_index", "alive_at_1" ]
[ true, false, true, false, false, false, false, false, true ]
81
4,793
mean_absolute_error
mean_absolute_error
PHENETYL1
**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': 629.0, 'NumberOfInstances': 22.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 629.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
PHENETYL1
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
82
4,725
mean_absolute_error
mean_absolute_error
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...
83
4,783
mean_absolute_error
mean_absolute_error
pdgfr
**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 - oz2 (numeric)], 1: [1 - oz3 (numeric)], 2: [2 - oz4 (numeric)], 3: [3 - oz5 (numeric)], 4: [4 - oz6 (numeric)], 5: [5 - oz7 (numeric)], 6: [6 - oz8 (numeric)], 7: [7 - oz9 (numeric)], 8: [8 - oz10 (numeric)], 9: [9 - oz11 (numeric)], 10: [10 - oz12 (numeric)], 11: [11 - oz13 (numeric)], 12: [12 - o...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 321.0, 'NumberOfInstances': 79.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 321.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
pdgfr
[ "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", "oz3...
[ 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...
84
4,742
mean_absolute_error
mean_absolute_error
fishcatch
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Weight treated as the class attribute. Identifier deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding len...
{0: [0 - Species (nominal)], 1: [1 - Length1 (numeric)], 2: [2 - Length2 (numeric)], 3: [3 - Length3 (numeric)], 4: [4 - Height (numeric)], 5: [5 - Width (numeric)], 6: [6 - Sex (nominal)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 7.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 158.0, 'NumberOfInstancesWithMissingValues': 87.0, 'NumberOfMissingValues': 87.0, 'NumberOfNumericFeatures': 6.0, 'NumberOfSymbolicFeatures': 2.0, 'cos...
fishcatch
[ "Species", "Length1", "Length2", "Length3", "Height", "Width", "Sex" ]
[ true, false, false, false, false, false, true ]
85
2,285
mean_absolute_error
mean_absolute_error
cleveland
**Author**: Andras Janosi, M.D. Donor: David W. Aha (aha@ics.uci.edu) **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Heart+Disease) - July 1988 **Please cite**: The author request that any publications resulting from the use of the data include the name of the author. **Heart Disease Databases: Clevel...
{0: [0 - age (numeric)], 1: [1 - sex (nominal)], 2: [2 - cp (nominal)], 3: [3 - trestbps (numeric)], 4: [4 - chol (numeric)], 5: [5 - fbs (nominal)], 6: [6 - restecg (nominal)], 7: [7 - thalach (numeric)], 8: [8 - exang (nominal)], 9: [9 - oldpeak (numeric)], 10: [10 - slope (nominal)], 11: [11 - ca (numeric...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 4.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 14.0, 'NumberOfInstances': 303.0, 'NumberOfInstancesWithMissingValues': 6.0, 'NumberOfMissingValues': 6.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 7.0, 'cost...
cleveland
[ "age", "sex", "cp", "trestbps", "chol", "fbs", "restecg", "thalach", "exang", "oldpeak", "slope", "ca", "thal" ]
[ false, true, true, false, false, true, true, false, true, false, true, false, true ]
86
2,305
mean_absolute_error
mean_absolute_error
baskball
**Author**: **Source**: Unknown - **Please cite**: Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. Points scored per minute is being treated as the class attribute.
{0: [0 - assists_per_minute (numeric)], 1: [1 - height (numeric)], 2: [2 - time_played (numeric)], 3: [3 - age (numeric)], 4: [4 - points_per_minute (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 5.0, 'NumberOfInstances': 96.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 5.0, 'NumberOfSymbolicFeatures': 0.0, 'cost_m...
baskball
[ "assists_per_minute", "height", "time_played", "age" ]
[ false, false, false, false ]
87
2,297
mean_absolute_error
mean_absolute_error
triazines
**Author**: **Source**: Unknown - **Please cite**: The problem is to learn a regression equation/rule/tree to predict the activity from the descriptive structural attributes. The data and methodology is described in detail in: - King, Ross .D., Hurst, Jonathan. D., and Sternberg, Michael.J.E. A comparison...
{0: [0 - p1_polar (numeric)], 1: [1 - p1_size (numeric)], 2: [2 - p1_flex (numeric)], 3: [3 - p1_h_doner (numeric)], 4: [4 - p1_h_acceptor (numeric)], 5: [5 - p1_pi_doner (numeric)], 6: [6 - p1_pi_acceptor (numeric)], 7: [7 - p1_polarisable (numeric)], 8: [8 - p1_sigma (numeric)], 9: [9 - p1_branch (numeric)],...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 61.0, 'NumberOfInstances': 186.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 61.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
triazines
[ "p1_polar", "p1_size", "p1_flex", "p1_h_doner", "p1_h_acceptor", "p1_pi_doner", "p1_pi_acceptor", "p1_polarisable", "p1_sigma", "p1_branch", "p2_polar", "p2_size", "p2_flex", "p2_h_doner", "p2_h_acceptor", "p2_pi_doner", "p2_pi_acceptor", "p2_polarisable", "p2_sigma", "p2_branc...
[ 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...
88
4,729
mean_absolute_error
mean_absolute_error
meta
**Author**: **Source**: Unknown - Date unknown **Please cite**: 1. Title: meta-data 2. Sources: (a) Creator: LIACC - University of Porto R.Campo Alegre 823 4150 PORTO (b) Donor: P.B.Brazdil or J.Gama Tel.: +351 600 1672 LIACC, University of Porto Fax.: +351 600 3654 Rua Campo Alegre...
{0: [0 - DS_Name (nominal)], 1: [1 - T (numeric)], 2: [2 - N (numeric)], 3: [3 - p (numeric)], 4: [4 - k (numeric)], 5: [5 - Bin (numeric)], 6: [6 - Cost (numeric)], 7: [7 - SDratio (numeric)], 8: [8 - correl (numeric)], 9: [9 - cancor1 (numeric)], 10: [10 - cancor2 (numeric)], 11: [11 - fract1 (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 24.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 22.0, 'NumberOfInstances': 528.0, 'NumberOfInstancesWithMissingValues': 264.0, 'NumberOfMissingValues': 504.0, 'NumberOfNumericFeatures': 20.0, 'NumberOfSymbolicFeatures': 2.0, ...
meta
[ "DS_Name", "T", "N", "p", "k", "Bin", "Cost", "SDratio", "correl", "cancor1", "cancor2", "fract1", "fract2", "skewness", "kurtosis", "Hc", "Hx", "MCx", "EnAtr", "NSRatio", "Alg_Name" ]
[ true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true ]
89
4,762
mean_absolute_error
mean_absolute_error
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...
[ 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...
90
4,727
mean_absolute_error
mean_absolute_error
bodyfat
**Author**: Roger W. Johnson **Source**: [UCI (not available anymore)](https://archive.ics.uci.edu/ml/index.php), [TunedIT](http://tunedit.org/repo/UCI/numeric/bodyfat.arff) **Please cite**: None. Short Summary: Lists estimates of the percentage of body fat determined by underwater weighing and various body circu...
{0: [0 - Density (numeric)], 1: [1 - Age (numeric)], 2: [2 - Weight (numeric)], 3: [3 - Height (numeric)], 4: [4 - Neck (numeric)], 5: [5 - Chest (numeric)], 6: [6 - Abdomen (numeric)], 7: [7 - Hip (numeric)], 8: [8 - Thigh (numeric)], 9: [9 - Knee (numeric)], 10: [10 - Ankle (numeric)], 11: [11 - Biceps (nu...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 15.0, 'NumberOfInstances': 252.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 15.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
bodyfat
[ "Density", "Age", "Weight", "Height", "Neck", "Chest", "Abdomen", "Hip", "Thigh", "Knee", "Ankle", "Biceps", "Forearm", "Wrist" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
91
4,722
mean_absolute_error
mean_absolute_error
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, 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...
92
2,994
predictive_accuracy
accuracy_score
autoMpg
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress i...
{0: [0 - cylinders (nominal)], 1: [1 - displacement (numeric)], 2: [2 - horsepower (numeric)], 3: [3 - weight (numeric)], 4: [4 - acceleration (numeric)], 5: [5 - model (nominal)], 6: [6 - origin (nominal)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 13.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 398.0, 'NumberOfInstancesWithMissingValues': 6.0, 'NumberOfMissingValues': 6.0, 'NumberOfNumericFeatures': 5.0, 'NumberOfSymbolicFeatures': 3.0, 'cost...
autoMpg
[ "cylinders", "displacement", "horsepower", "weight", "acceleration", "model", "origin" ]
[ true, false, false, false, false, true, true ]
93
4,747
mean_absolute_error
mean_absolute_error
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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
94
4,751
mean_absolute_error
mean_absolute_error
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",...
[ 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...
95
4,786
mean_absolute_error
mean_absolute_error
Phen
**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': 111.0, 'NumberOfInstances': 22.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 111.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
Phen
[ "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, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
96
2,282
mean_absolute_error
mean_absolute_error
wisconsin
**Author**: **Source**: Unknown - **Please cite**: 1. Title: Wisconsin Prognostic Breast Cancer (WPBC) 2. Source Information a) Creators: Dr. William H. Wolberg, General Surgery Dept., University of Wisconsin, Clinical Sciences Center, Madison, WI 53792 wolberg@eagle.surgery.wisc.edu W. Ni...
{0: [0 - lymph_node_status (numeric)], 1: [1 - radius_mean (numeric)], 2: [2 - radius_se (numeric)], 3: [3 - radius_worst (numeric)], 4: [4 - texture_mean (numeric)], 5: [5 - texture_se (numeric)], 6: [6 - texture_worst (numeric)], 7: [7 - perimeter_mean (numeric)], 8: [8 - perimeter_se (numeric)], 9: [9 - per...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 33.0, 'NumberOfInstances': 194.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 33.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
wisconsin
[ "lymph_node_status", "radius_mean", "radius_se", "radius_worst", "texture_mean", "texture_se", "texture_worst", "perimeter_mean", "perimeter_se", "perimeter_worst", "area_mean", "area_se", "area_worst", "smoothness_mean", "smoothness_se", "smoothness_worst", "compactness_mean", "co...
[ 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 ]
97
3,008
predictive_accuracy
accuracy_score
libras_move
**Author**: Daniel Baptista Dias, Sarajane Marques Peres, Helton Hideraldo Biscaro University of Sao Paulo, School of Art, Sciences and Humanities, Sao Paulo, SP, Brazil **Source**: Unknown - November 2008 **Please cite**: ### LIBRAS Movement Database LIBRAS, acronym of the Portuguese name "LIngua BRAsileira ...
{0: [0 - xcoord1 (numeric)], 1: [1 - ycoord1 (numeric)], 2: [2 - xcoord2 (numeric)], 3: [3 - ycoord2 (numeric)], 4: [4 - xcoord3 (numeric)], 5: [5 - ycoord3 (numeric)], 6: [6 - xcoord4 (numeric)], 7: [7 - ycoord4 (numeric)], 8: [8 - xcoord5 (numeric)], 9: [9 - ycoord5 (numeric)], 10: [10 - xcoord6 (numeric)],...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 91.0, 'NumberOfInstances': 360.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 91.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
libras_move
[ "xcoord1", "ycoord1", "xcoord2", "ycoord2", "xcoord3", "ycoord3", "xcoord4", "ycoord4", "xcoord5", "ycoord5", "xcoord6", "ycoord6", "xcoord7", "ycoord7", "xcoord8", "ycoord8", "xcoord9", "ycoord9", "xcoord10", "ycoord10", "xcoord11", "ycoord11", "xcoord12", "ycoord12", ...
[ 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...
98
4,800
mean_absolute_error
mean_absolute_error
qsfsr1
**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': 20.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 10.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
qsfsr1
[ "oz1", "oz2", "oz3", "oz4", "oz5", "oz6", "oz7", "oz8", "oz9" ]
[ false, false, false, false, false, false, false, false, false ]
99
4,732
mean_absolute_error
mean_absolute_error
fruitfly
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! NAME: Sexual activity and the lifespan of male fruitflies TYPE: Designed (almost factorial) experiment SIZE: 125 observations, 5 variables DESCRI...
{0: [0 - PARTNERS (nominal)], 1: [1 - TYPE (nominal)], 2: [2 - THORAX (numeric)], 3: [3 - SLEEP (numeric)], 4: [4 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 3.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 5.0, 'NumberOfInstances': 125.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3.0, 'NumberOfSymbolicFeatures': 2.0, 'cost_...
fruitfly
[ "PARTNERS", "TYPE", "THORAX", "SLEEP" ]
[ true, true, false, false ]
100
2,295
mean_absolute_error
mean_absolute_error
cholesterol
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Cholesterol treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. ...
{0: [0 - age (numeric)], 1: [1 - sex (nominal)], 2: [2 - cp (nominal)], 3: [3 - trestbps (numeric)], 4: [4 - fbs (nominal)], 5: [5 - restecg (nominal)], 6: [6 - thalach (numeric)], 7: [7 - exang (nominal)], 8: [8 - oldpeak (numeric)], 9: [9 - slope (nominal)], 10: [10 - ca (numeric)], 11: [11 - thal (nominal...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 4.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 14.0, 'NumberOfInstances': 303.0, 'NumberOfInstancesWithMissingValues': 6.0, 'NumberOfMissingValues': 6.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 7.0, 'cost...
cholesterol
[ "age", "sex", "cp", "trestbps", "fbs", "restecg", "thalach", "exang", "oldpeak", "slope", "ca", "thal", "num" ]
[ false, true, true, false, true, true, false, true, false, true, false, true, false ]
101