uid int64 2 364k | orig_metric stringclasses 30
values | sklearn_metric stringclasses 9
values | dataset_name stringlengths 2 124 | dataset_description stringlengths 3 13k ⌀ | dataset_features stringlengths 41 3.57M | task_description stringlengths 627 762 | task_name stringlengths 2 124 | attribute_names listlengths 0 100k | categorical_indicator listlengths 0 100k | __index_level_0__ int64 0 3.8k |
|---|---|---|---|---|---|---|---|---|---|---|
3,529 | predictive_accuracy | accuracy_score | oh5.wc | **Author**: [George Forman](https://scholar.google.com/citations?user=r0a222QAAAAJ)
**Source**: http://tunedit.org/repo/Data/Text-wc/oh5.wc.arff
**Please cite**: | {0: [0 - depart (numeric)],
1: [1 - nephropathi (numeric)],
2: [2 - cluster (numeric)],
3: [3 - tenth (numeric)],
4: [4 - sudden (numeric)],
5: [5 - infus (numeric)],
6: [6 - imbal (numeric)],
7: [7 - gland (numeric)],
8: [8 - cyclophosphamid (numeric)],
9: [9 - furth (numeric)],
10: [10 - phagocytosi (numeri... | {'MajorityClassSize': 149.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 59.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 3013.0,
'NumberOfInstances': 918.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3012.0,
'NumberOfSymbolicFeatures': 1... | oh5.wc | [
"depart",
"nephropathi",
"cluster",
"tenth",
"sudden",
"infus",
"imbal",
"gland",
"cyclophosphamid",
"furth",
"phagocytosi",
"fetal",
"signific",
"penetr",
"hepat",
"cigarett",
"fusion",
"resist",
"rest",
"goal",
"hypothyroid",
"posttraumat",
"hydroxi",
"echocardiograph... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,348 |
1,780 | predictive_accuracy | accuracy_score | mfeat-karhunen | **Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Multiple Features Dataset: Karhunen**
One of a set of 6 ... | {0: [0 - att1 (numeric)],
1: [1 - att2 (numeric)],
2: [2 - att3 (numeric)],
3: [3 - att4 (numeric)],
4: [4 - att5 (numeric)],
5: [5 - att6 (numeric)],
6: [6 - att7 (numeric)],
7: [7 - att8 (numeric)],
8: [8 - att9 (numeric)],
9: [9 - att10 (numeric)],
10: [10 - att11 (numeric)],
11: [11 - att12 (numeric)],
... | {'MajorityClassSize': 200.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 200.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 65.0,
'NumberOfInstances': 2000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 64.0,
'NumberOfSymbolicFeatures': 1.0... | mfeat-karhunen | [
"att1",
"att2",
"att3",
"att4",
"att5",
"att6",
"att7",
"att8",
"att9",
"att10",
"att11",
"att12",
"att13",
"att14",
"att15",
"att16",
"att17",
"att18",
"att19",
"att20",
"att21",
"att22",
"att23",
"att24",
"att25",
"att26",
"att27",
"att28",
"att29",
"att30... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,349 |
1,883 | predictive_accuracy | accuracy_score | kr-vs-kp | Author: Alen Shapiro
Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Chess+(King-Rook+vs.+King-Pawn))
Please cite: [UCI citation policy](https://archive.ics.uci.edu/ml/citation_policy.html)
1. Title: Chess End-Game -- King+Rook versus King+Pawn on a7
(usually abbreviated KRKPA7). The pawn on a7 means it is one s... | {0: [0 - bkblk (nominal)],
1: [1 - bknwy (nominal)],
2: [2 - bkon8 (nominal)],
3: [3 - bkona (nominal)],
4: [4 - bkspr (nominal)],
5: [5 - bkxbq (nominal)],
6: [6 - bkxcr (nominal)],
7: [7 - bkxwp (nominal)],
8: [8 - blxwp (nominal)],
9: [9 - bxqsq (nominal)],
10: [10 - cntxt (nominal)],
11: [11 - dsopp (nom... | {'MajorityClassSize': 1669.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 1527.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 37.0,
'NumberOfInstances': 3196.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 37.0... | kr-vs-kp | [
"bkblk",
"bknwy",
"bkon8",
"bkona",
"bkspr",
"bkxbq",
"bkxcr",
"bkxwp",
"blxwp",
"bxqsq",
"cntxt",
"dsopp",
"dwipd",
"hdchk",
"katri",
"mulch",
"qxmsq",
"r2ar8",
"reskd",
"reskr",
"rimmx",
"rkxwp",
"rxmsq",
"simpl",
"skach",
"skewr",
"skrxp",
"spcop",
"stlmt",... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,350 |
1,891 | predictive_accuracy | accuracy_score | balance-scale | **Author**: Siegler, R. S. (donated by Tim Hume)
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/balance+scale) - 1994
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Balance Scale Weight & Distance Database**
This data set was generated to model psychological experiment... | {0: [0 - left-weight (numeric)],
1: [1 - left-distance (numeric)],
2: [2 - right-weight (numeric)],
3: [3 - right-distance (numeric)],
4: [4 - class (nominal)]} | {'MajorityClassSize': 288.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 49.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 625.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'co... | balance-scale | [
"left-weight",
"left-distance",
"right-weight",
"right-distance"
] | [
false,
false,
false,
false
] | 1,351 |
3,526 | predictive_accuracy | accuracy_score | re0.wc | null | {0: [0 - depart (numeric)],
1: [1 - sloane (numeric)],
2: [2 - sudden (numeric)],
3: [3 - imbal (numeric)],
4: [4 - subsidis (numeric)],
5: [5 - mccarthi (numeric)],
6: [6 - signific (numeric)],
7: [7 - penetr (numeric)],
8: [8 - announc (numeric)],
9: [9 - fairli (numeric)],
10: [10 - jointli (numeric)],
11... | {'MajorityClassSize': 608.0,
'MaxNominalAttDistinctValues': 13.0,
'MinorityClassSize': 11.0,
'NumberOfClasses': 13.0,
'NumberOfFeatures': 2887.0,
'NumberOfInstances': 1504.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2886.0,
'NumberOfSymbolicFeatures': ... | re0.wc | [
"depart",
"sloane",
"sudden",
"imbal",
"subsidis",
"mccarthi",
"signific",
"penetr",
"announc",
"fairli",
"jointli",
"resist",
"rival",
"rest",
"agenc",
"goal",
"imperi",
"decision",
"drain",
"agent",
"0",
"lord",
"merchant",
"curtail",
"juli",
"varieti",
"partner... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,352 |
3,518 | predictive_accuracy | accuracy_score | tr45.wc | null | {0: [0 - sunni (numeric)],
1: [1 - interbank (numeric)],
2: [2 - rig (numeric)],
3: [3 - dlouhi (numeric)],
4: [4 - bratislava (numeric)],
5: [5 - librari (numeric)],
6: [6 - number (numeric)],
7: [7 - contamin (numeric)],
8: [8 - mold (numeric)],
9: [9 - norm (numeric)],
10: [10 - mobil (numeric)],
11: [11 ... | {'MajorityClassSize': 160.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 14.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 8262.0,
'NumberOfInstances': 690.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8261.0,
'NumberOfSymbolicFeatures': 1... | tr45.wc | [
"sunni",
"interbank",
"rig",
"dlouhi",
"bratislava",
"librari",
"number",
"contamin",
"mold",
"norm",
"mobil",
"sens",
"plankton",
"ash",
"workstat",
"cabin",
"sunken",
"tengiz",
"cove",
"tragedi",
"alloi",
"fluid",
"escort",
"allot",
"curi",
"tac",
"komsomolet",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 1,353 |
3,532 | predictive_accuracy | accuracy_score | tr12.wc | null | {0: [0 - saga (numeric)],
1: [1 - stumble (numeric)],
2: [2 - abu (numeric)],
3: [3 - membership (numeric)],
4: [4 - rc (numeric)],
5: [5 - cherish (numeric)],
6: [6 - airwai (numeric)],
7: [7 - concur (numeric)],
8: [8 - ravag (numeric)],
9: [9 - perestroyka (numeric)],
10: [10 - rf (numeric)],
11: [11 - 0 ... | {'MajorityClassSize': 93.0,
'MaxNominalAttDistinctValues': 8.0,
'MinorityClassSize': 9.0,
'NumberOfClasses': 8.0,
'NumberOfFeatures': 5805.0,
'NumberOfInstances': 313.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5804.0,
'NumberOfSymbolicFeatures': 1.0,
... | tr12.wc | [
"saga",
"stumble",
"abu",
"membership",
"rc",
"cherish",
"airwai",
"concur",
"ravag",
"perestroyka",
"rf",
"0",
"environ",
"purchas",
"loss",
"lost",
"manag",
"particip",
"southeast",
"product",
"dinner",
"anglo",
"aqueou",
"deton",
"conspiraci",
"ethic",
"criteri... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,354 |
1,882 | predictive_accuracy | accuracy_score | anneal | **Author**: Unknown. Donated by David Sterling and Wray Buntine
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Annealing) - 1990
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
The original Annealing dataset from UCI. The exact meaning of the features and classes is lar... | {0: [0 - family (nominal)],
1: [1 - product-type (nominal)],
2: [2 - steel (nominal)],
3: [3 - carbon (numeric)],
4: [4 - hardness (numeric)],
5: [5 - temper_rolling (nominal)],
6: [6 - condition (nominal)],
7: [7 - formability (nominal)],
8: [8 - strength (numeric)],
9: [9 - non-ageing (nominal)],
10: [10 - ... | {'MajorityClassSize': 684.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 8.0,
'NumberOfClasses': 5.0,
'NumberOfFeatures': 39.0,
'NumberOfInstances': 898.0,
'NumberOfInstancesWithMissingValues': 898.0,
'NumberOfMissingValues': 22175.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 33.... | anneal | [
"family",
"product-type",
"steel",
"carbon",
"hardness",
"temper_rolling",
"condition",
"formability",
"strength",
"non-ageing",
"surface-finish",
"surface-quality",
"enamelability",
"bc",
"bf",
"bt",
"bw%2Fme",
"bl",
"m",
"chrom",
"phos",
"cbond",
"marvi",
"exptl",
"... | [
true,
true,
true,
false,
false,
true,
true,
true,
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
false,
false,
true,
true,
true
] | 1,355 |
3,536 | predictive_accuracy | accuracy_score | oh10.wc | null | {0: [0 - sudden (numeric)],
1: [1 - gland (numeric)],
2: [2 - signific (numeric)],
3: [3 - penetr (numeric)],
4: [4 - hepat (numeric)],
5: [5 - fusion (numeric)],
6: [6 - agenc (numeric)],
7: [7 - rest (numeric)],
8: [8 - seropreval (numeric)],
9: [9 - nucleotid (numeric)],
10: [10 - echocardiographi (numeric... | {'MajorityClassSize': 165.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 52.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 3239.0,
'NumberOfInstances': 1050.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3238.0,
'NumberOfSymbolicFeatures': ... | oh10.wc | [
"sudden",
"gland",
"signific",
"penetr",
"hepat",
"fusion",
"agenc",
"rest",
"seropreval",
"nucleotid",
"echocardiographi",
"decision",
"agent",
"0",
"placem",
"environ",
"obstetr",
"vagin",
"overview",
"cytokin",
"reconstitut",
"discharg",
"f",
"ileal",
"g",
"clind... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,356 |
1,889 | predictive_accuracy | accuracy_score | autos | **Author**: Jeffrey C. Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu)
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Automobile) - 1987
**Please cite**:
**1985 Auto Imports Database**
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteris... | {0: [0 - normalized-losses (numeric)],
1: [1 - make (nominal)],
2: [2 - fuel-type (nominal)],
3: [3 - aspiration (nominal)],
4: [4 - num-of-doors (nominal)],
5: [5 - body-style (nominal)],
6: [6 - drive-wheels (nominal)],
7: [7 - engine-location (nominal)],
8: [8 - wheel-base (numeric)],
9: [9 - length (numeri... | {'MajorityClassSize': 67.0,
'MaxNominalAttDistinctValues': 22.0,
'MinorityClassSize': 3.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 205.0,
'NumberOfInstancesWithMissingValues': 46.0,
'NumberOfMissingValues': 59.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 11.0,
... | autos | [
"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",
"compression-rat... | [
false,
true,
true,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
true,
true,
false,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,357 |
1,893 | predictive_accuracy | accuracy_score | breast-cancer | **Author**:
**Source**: Unknown -
**Please cite**:
Citation Request:
This breast cancer domain was obtained from the University Medical Centre,
Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and
M. Soklic for providing the data. Please include this citation if you plan
... | {0: [0 - age (nominal)],
1: [1 - menopause (nominal)],
2: [2 - tumor-size (nominal)],
3: [3 - inv-nodes (nominal)],
4: [4 - node-caps (nominal)],
5: [5 - deg-malig (nominal)],
6: [6 - breast (nominal)],
7: [7 - breast-quad (nominal)],
8: [8 - irradiat (nominal)],
9: [9 - Class (nominal)]} | {'MajorityClassSize': 201.0,
'MaxNominalAttDistinctValues': 11.0,
'MinorityClassSize': 85.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 286.0,
'NumberOfInstancesWithMissingValues': 9.0,
'NumberOfMissingValues': 9.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 10.0,
... | breast-cancer | [
"age",
"menopause",
"tumor-size",
"inv-nodes",
"node-caps",
"deg-malig",
"breast",
"breast-quad",
"irradiat"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,358 |
3,530 | predictive_accuracy | accuracy_score | re1.wc | null | {0: [0 - imbal (numeric)],
1: [1 - subsidis (numeric)],
2: [2 - signific (numeric)],
3: [3 - fairli (numeric)],
4: [4 - rest (numeric)],
5: [5 - agenc (numeric)],
6: [6 - violent (numeric)],
7: [7 - francais (numeric)],
8: [8 - chuck (numeric)],
9: [9 - decision (numeric)],
10: [10 - agent (numeric)],
11: [1... | {'MajorityClassSize': 371.0,
'MaxNominalAttDistinctValues': 25.0,
'MinorityClassSize': 10.0,
'NumberOfClasses': 25.0,
'NumberOfFeatures': 3759.0,
'NumberOfInstances': 1657.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3758.0,
'NumberOfSymbolicFeatures': ... | re1.wc | [
"imbal",
"subsidis",
"signific",
"fairli",
"rest",
"agenc",
"violent",
"francais",
"chuck",
"decision",
"agent",
"0",
"tower",
"margarin",
"placem",
"curtail",
"placer",
"environ",
"hamburg",
"und",
"fly",
"panamanian",
"housew",
"pension",
"discharg",
"e",
"drake... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,359 |
1,898 | predictive_accuracy | accuracy_score | mfeat-morphological | **Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Multiple Features Dataset: Morphological**
One of a set ... | {0: [0 - att1 (numeric)],
1: [1 - att2 (numeric)],
2: [2 - att3 (numeric)],
3: [3 - att4 (numeric)],
4: [4 - att5 (numeric)],
5: [5 - att6 (numeric)],
6: [6 - class (nominal)]} | {'MajorityClassSize': 200.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 200.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 2000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 1.0,
... | mfeat-morphological | [
"att1",
"att2",
"att3",
"att4",
"att5",
"att6"
] | [
false,
false,
false,
false,
false,
false
] | 1,360 |
3,522 | predictive_accuracy | accuracy_score | tr11.wc | null | {0: [0 - outfit (numeric)],
1: [1 - hasn (numeric)],
2: [2 - calm (numeric)],
3: [3 - gene (numeric)],
4: [4 - resettl (numeric)],
5: [5 - lotteri (numeric)],
6: [6 - privileg (numeric)],
7: [7 - junior (numeric)],
8: [8 - withdrawn (numeric)],
9: [9 - chok (numeric)],
10: [10 - compaq (numeric)],
11: [11 - ... | {'MajorityClassSize': 132.0,
'MaxNominalAttDistinctValues': 9.0,
'MinorityClassSize': 6.0,
'NumberOfClasses': 9.0,
'NumberOfFeatures': 6430.0,
'NumberOfInstances': 414.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6429.0,
'NumberOfSymbolicFeatures': 1.0,... | tr11.wc | [
"outfit",
"hasn",
"calm",
"gene",
"resettl",
"lotteri",
"privileg",
"junior",
"withdrawn",
"chok",
"compaq",
"noi",
"colombia",
"radioact",
"neutron",
"npc",
"disabl",
"macedonian",
"eman",
"skopje",
"volkov",
"appall",
"sidelin",
"titanium",
"quasi",
"league",
"n... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 1,361 |
3,519 | predictive_accuracy | accuracy_score | tr21.wc | null | {0: [0 - noteworthi (numeric)],
1: [1 - parad (numeric)],
2: [2 - naval (numeric)],
3: [3 - ward (numeric)],
4: [4 - dock (numeric)],
5: [5 - logist (numeric)],
6: [6 - tonnag (numeric)],
7: [7 - maine (numeric)],
8: [8 - ap (numeric)],
9: [9 - sallie (numeric)],
10: [10 - franci (numeric)],
11: [11 - libert... | {'MajorityClassSize': 231.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 4.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 7903.0,
'NumberOfInstances': 336.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7902.0,
'NumberOfSymbolicFeatures': 1.0,... | tr21.wc | [
"noteworthi",
"parad",
"naval",
"ward",
"dock",
"logist",
"tonnag",
"maine",
"ap",
"sallie",
"franci",
"libertarian",
"pip",
"russell",
"sanford",
"approp",
"ind",
"shipboard",
"sunset",
"servant",
"depart",
"logansport",
"number",
"english",
"maritim",
"signific",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 1,362 |
3,523 | predictive_accuracy | accuracy_score | tr23.wc | null | {0: [0 - utmost (numeric)],
1: [1 - secondli (numeric)],
2: [2 - neglect (numeric)],
3: [3 - shalala (numeric)],
4: [4 - weekend (numeric)],
5: [5 - timefram (numeric)],
6: [6 - formul (numeric)],
7: [7 - lump (numeric)],
8: [8 - belt (numeric)],
9: [9 - cranston (numeric)],
10: [10 - sympathi (numeric)],
11... | {'MajorityClassSize': 91.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 6.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 5833.0,
'NumberOfInstances': 204.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5832.0,
'NumberOfSymbolicFeatures': 1.0,
... | tr23.wc | [
"utmost",
"secondli",
"neglect",
"shalala",
"weekend",
"timefram",
"formul",
"lump",
"belt",
"cranston",
"sympathi",
"wrap",
"lectur",
"underfund",
"embargo",
"glad",
"glar",
"multifamili",
"perkin",
"messr",
"demean",
"cop",
"depart",
"multiyear",
"blue",
"romero",... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,363 |
3,535 | predictive_accuracy | accuracy_score | tr41.wc | null | {0: [0 - lighthous (numeric)],
1: [1 - conquest (numeric)],
2: [2 - algerian (numeric)],
3: [3 - banish (numeric)],
4: [4 - jerri (numeric)],
5: [5 - nationalist (numeric)],
6: [6 - evil (numeric)],
7: [7 - beirut (numeric)],
8: [8 - worrisom (numeric)],
9: [9 - stolen (numeric)],
10: [10 - durabl (numeric)],... | {'MajorityClassSize': 243.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 9.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 7455.0,
'NumberOfInstances': 878.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7454.0,
'NumberOfSymbolicFeatures': 1.... | tr41.wc | [
"lighthous",
"conquest",
"algerian",
"banish",
"jerri",
"nationalist",
"evil",
"beirut",
"worrisom",
"stolen",
"durabl",
"adburgham",
"restart",
"lee",
"avonmouth",
"wive",
"exot",
"tighter",
"tenth",
"polic",
"diane",
"perish",
"altimet",
"princeton",
"eb",
"diseas... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 1,364 |
1,895 | predictive_accuracy | accuracy_score | breast-w | **Author**: Dr. William H. Wolberg, University of Wisconsin
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original)), [University of Wisconsin](http://pages.cs.wisc.edu/~olvi/uwmp/cancer.html) - 1995
**Please cite**: See below, plus [UCI](https://archive.ics.uci.edu/ml/citation_... | {0: [0 - Clump_Thickness (numeric)],
1: [1 - Cell_Size_Uniformity (numeric)],
2: [2 - Cell_Shape_Uniformity (numeric)],
3: [3 - Marginal_Adhesion (numeric)],
4: [4 - Single_Epi_Cell_Size (numeric)],
5: [5 - Bare_Nuclei (numeric)],
6: [6 - Bland_Chromatin (numeric)],
7: [7 - Normal_Nucleoli (numeric)],
8: [8 - M... | {'MajorityClassSize': 458.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 241.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 699.0,
'NumberOfInstancesWithMissingValues': 16.0,
'NumberOfMissingValues': 16.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 1.0,
... | breast-w | [
"Clump_Thickness",
"Cell_Size_Uniformity",
"Cell_Shape_Uniformity",
"Marginal_Adhesion",
"Single_Epi_Cell_Size",
"Bare_Nuclei",
"Bland_Chromatin",
"Normal_Nucleoli",
"Mitoses"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,365 |
1,914 | predictive_accuracy | accuracy_score | postoperative-patient-data | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Postoperative Patient Data
2. Source Information:
-- Creators: Sharon Summers, School of Nursing, University of Kansas
Medical Center, Kansas City, KS 66160
Linda Woolery, School of Nursing, University of Mis... | {0: [0 - L-CORE (nominal)],
1: [1 - L-SURF (nominal)],
2: [2 - L-O2 (nominal)],
3: [3 - L-BP (nominal)],
4: [4 - SURF-STBL (nominal)],
5: [5 - CORE-STBL (nominal)],
6: [6 - BP-STBL (nominal)],
7: [7 - COMFORT (nominal)],
8: [8 - decision (nominal)]} | {'MajorityClassSize': 64.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 90.0,
'NumberOfInstancesWithMissingValues': 3.0,
'NumberOfMissingValues': 3.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 9.0,
'cost_... | postoperative-patient-data | [
"L-CORE",
"L-SURF",
"L-O2",
"L-BP",
"SURF-STBL",
"CORE-STBL",
"BP-STBL",
"COMFORT"
] | [
true,
true,
true,
true,
true,
true,
true,
true
] | 1,366 |
3,520 | predictive_accuracy | accuracy_score | tr31.wc | null | {0: [0 - cone (numeric)],
1: [1 - protection (numeric)],
2: [2 - wir (numeric)],
3: [3 - fright (numeric)],
4: [4 - resold (numeric)],
5: [5 - thirsti (numeric)],
6: [6 - isolina (numeric)],
7: [7 - lucho (numeric)],
8: [8 - wari (numeric)],
9: [9 - sermon (numeric)],
10: [10 - unwis (numeric)],
11: [11 - co... | {'MajorityClassSize': 352.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 7.0,
'NumberOfFeatures': 10129.0,
'NumberOfInstances': 927.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10128.0,
'NumberOfSymbolicFeatures': 1.... | tr31.wc | [
"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... | 1,367 |
1,822 | predictive_accuracy | accuracy_score | waveform-5000 | **Author**: Breiman,L., Friedman,J.H., Olshen,R.A., & Stone,C.J.
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/waveform+database+generator+(version+2)) - 1988
**Please cite**: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html)
**Waveform Database Generator**
Generator generating 3 classes o... | {0: [0 - x1 (numeric)],
1: [1 - x2 (numeric)],
2: [2 - x3 (numeric)],
3: [3 - x4 (numeric)],
4: [4 - x5 (numeric)],
5: [5 - x6 (numeric)],
6: [6 - x7 (numeric)],
7: [7 - x8 (numeric)],
8: [8 - x9 (numeric)],
9: [9 - x10 (numeric)],
10: [10 - x11 (numeric)],
11: [11 - x12 (numeric)],
12: [12 - x13 (numeric)]... | {'MajorityClassSize': 1692.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 1653.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 41.0,
'NumberOfInstances': 5000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 40.0,
'NumberOfSymbolicFeatures': 1.0... | waveform-5000 | [
"x1",
"x2",
"x3",
"x4",
"x5",
"x6",
"x7",
"x8",
"x9",
"x10",
"x11",
"x12",
"x13",
"x14",
"x15",
"x16",
"x17",
"x18",
"x19",
"x20",
"x21",
"x22",
"x23",
"x24",
"x25",
"x26",
"x27",
"x28",
"x29",
"x30",
"x31",
"x32",
"x33",
"x34",
"x35",
"x36",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,368 |
1,885 | predictive_accuracy | accuracy_score | arrhythmia | **Author**: H. Altay Guvenir, Burak Acar, Haldun Muderrisoglu
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/arrhythmia)
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Cardiac Arrhythmia Database**
The aim is to determine the type of arrhythmia from the ECG recordings. ... | {0: [0 - age (numeric)],
1: [1 - sex (nominal)],
2: [2 - height (numeric)],
3: [3 - weight (numeric)],
4: [4 - QRSduration (numeric)],
5: [5 - PRinterval (numeric)],
6: [6 - Q-Tinterval (numeric)],
7: [7 - Tinterval (numeric)],
8: [8 - Pinterval (numeric)],
9: [9 - QRS (numeric)],
10: [10 - T (numeric)],
11:... | {'MajorityClassSize': 245.0,
'MaxNominalAttDistinctValues': 13.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 13.0,
'NumberOfFeatures': 280.0,
'NumberOfInstances': 452.0,
'NumberOfInstancesWithMissingValues': 384.0,
'NumberOfMissingValues': 408.0,
'NumberOfNumericFeatures': 206.0,
'NumberOfSymbolicFeatures': ... | arrhythmia | [
"age",
"sex",
"height",
"weight",
"QRSduration",
"PRinterval",
"Q-Tinterval",
"Tinterval",
"Pinterval",
"QRS",
"T",
"P",
"QRST",
"J",
"heartrate",
"chDI_Qwave",
"chDI_Rwave",
"chDI_Swave",
"chDI_RPwave",
"chDI_SPwave",
"chDI_intrinsicReflecttions",
"chDI_RRwaveExists",
"c... | [
false,
true,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
true,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
false,
true,
true,
true,
tr... | 1,369 |
1,903 | predictive_accuracy | accuracy_score | cmc | **Author**: [Tjen-Sien Lim](limt@stat.wisc.edu)
**Source**: [As obtained from UCI](https://archive.ics.uci.edu/ml/datasets/Contraceptive+Method+Choice)
**Please cite**: [UCI citation](https://archive.ics.uci.edu/ml/citation_policy.html)
1. Title: Contraceptive Method Choice
2. Sources:
(a) Origin: This datase... | {0: [0 - Wifes_age (numeric)],
1: [1 - Wifes_education (nominal)],
2: [2 - Husbands_education (nominal)],
3: [3 - Number_of_children_ever_born (numeric)],
4: [4 - Wifes_religion (nominal)],
5: [5 - Wifes_now_working%3F (nominal)],
6: [6 - Husbands_occupation (nominal)],
7: [7 - Standard-of-living_index (nominal)... | {'MajorityClassSize': 629.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 333.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 1473.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 8.0,
... | cmc | [
"Wifes_age",
"Wifes_education",
"Husbands_education",
"Number_of_children_ever_born",
"Wifes_religion",
"Wifes_now_working%3F",
"Husbands_occupation",
"Standard-of-living_index",
"Media_exposure"
] | [
false,
true,
true,
false,
true,
true,
true,
true,
true
] | 1,370 |
3,524 | predictive_accuracy | accuracy_score | fbis.wc | null | {0: [0 - word-0 (numeric)],
1: [1 - word-1 (numeric)],
2: [2 - word-2 (numeric)],
3: [3 - word-3 (numeric)],
4: [4 - word-4 (numeric)],
5: [5 - word-5 (numeric)],
6: [6 - word-6 (numeric)],
7: [7 - word-7 (numeric)],
8: [8 - word-8 (numeric)],
9: [9 - word-9 (numeric)],
10: [10 - word-10 (numeric)],
11: [11 ... | {'MajorityClassSize': 506.0,
'MaxNominalAttDistinctValues': 17.0,
'MinorityClassSize': 38.0,
'NumberOfClasses': 17.0,
'NumberOfFeatures': 2001.0,
'NumberOfInstances': 2463.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2000.0,
'NumberOfSymbolicFeatures': ... | fbis.wc | [
"word-0",
"word-1",
"word-2",
"word-3",
"word-4",
"word-5",
"word-6",
"word-7",
"word-8",
"word-9",
"word-10",
"word-11",
"word-12",
"word-13",
"word-14",
"word-15",
"word-16",
"word-17",
"word-18",
"word-19",
"word-20",
"word-21",
"word-22",
"word-23",
"word-24",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 1,372 |
1,909 | predictive_accuracy | accuracy_score | credit-approval | **Author**: Confidential - Donated by Ross Quinlan
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/credit+approval) - 1987
**Please cite**: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html)
**Credit Approval**
This file concerns credit card applications. All attribute names and values have been... | {0: [0 - A1 (nominal)],
1: [1 - A2 (numeric)],
2: [2 - A3 (numeric)],
3: [3 - A4 (nominal)],
4: [4 - A5 (nominal)],
5: [5 - A6 (nominal)],
6: [6 - A7 (nominal)],
7: [7 - A8 (numeric)],
8: [8 - A9 (nominal)],
9: [9 - A10 (nominal)],
10: [10 - A11 (numeric)],
11: [11 - A12 (nominal)],
12: [12 - A13 (nominal)]... | {'MajorityClassSize': 383.0,
'MaxNominalAttDistinctValues': 14.0,
'MinorityClassSize': 307.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 16.0,
'NumberOfInstances': 690.0,
'NumberOfInstancesWithMissingValues': 37.0,
'NumberOfMissingValues': 67.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 10.0... | credit-approval | [
"A1",
"A2",
"A3",
"A4",
"A5",
"A6",
"A7",
"A8",
"A9",
"A10",
"A11",
"A12",
"A13",
"A14",
"A15"
] | [
true,
false,
false,
true,
true,
true,
true,
false,
true,
true,
false,
true,
true,
false,
false
] | 1,373 |
1,919 | predictive_accuracy | accuracy_score | sonar | **Author**:
**Source**: Unknown -
**Please cite**:
NAME: Sonar, Mines vs. Rocks
SUMMARY: This is the data set used by Gorman and Sejnowski in their study
of the classification of sonar signals using a neural network [1]. The
task is to train a network to discriminate between sonar signals bounced
off a... | {0: [0 - attribute_1 (numeric)],
1: [1 - attribute_2 (numeric)],
2: [2 - attribute_3 (numeric)],
3: [3 - attribute_4 (numeric)],
4: [4 - attribute_5 (numeric)],
5: [5 - attribute_6 (numeric)],
6: [6 - attribute_7 (numeric)],
7: [7 - attribute_8 (numeric)],
8: [8 - attribute_9 (numeric)],
9: [9 - attribute_10 (... | {'MajorityClassSize': 111.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 97.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 61.0,
'NumberOfInstances': 208.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 60.0,
'NumberOfSymbolicFeatures': 1.0,
'... | sonar | [
"attribute_1",
"attribute_2",
"attribute_3",
"attribute_4",
"attribute_5",
"attribute_6",
"attribute_7",
"attribute_8",
"attribute_9",
"attribute_10",
"attribute_11",
"attribute_12",
"attribute_13",
"attribute_14",
"attribute_15",
"attribute_16",
"attribute_17",
"attribute_18",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,375 |
1,918 | predictive_accuracy | accuracy_score | ecoli | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Protein Localization Sites
2. Creator and Maintainer:
Kenta Nakai
Institue of Molecular and Cellular Biology
Osaka, University
1-3 Yamada-oka, Suita 565 Japan
nakai@imcb.osaka-u.ac.jp
http... | {0: [0 - mcg (numeric)],
1: [1 - gvh (numeric)],
2: [2 - lip (numeric)],
3: [3 - chg (numeric)],
4: [4 - aac (numeric)],
5: [5 - alm1 (numeric)],
6: [6 - alm2 (numeric)],
7: [7 - class (nominal)]} | {'MajorityClassSize': 143.0,
'MaxNominalAttDistinctValues': 8.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 8.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 336.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | ecoli | [
"mcg",
"gvh",
"lip",
"chg",
"aac",
"alm1",
"alm2"
] | [
false,
false,
false,
false,
false,
false,
false
] | 1,376 |
1,915 | predictive_accuracy | accuracy_score | dermatology | 1. Title: Dermatology Database
2. Source Information:
(a) Original owners:
-- 1. Nilsel Ilter, M.D., Ph.D.,
Gazi University,
School of Medicine
06510 Ankara, Turkey
Phone: +90 (312) 214 1080
-- 2. H. Altay Guvenir, PhD.,
Bilkent Univ... | {0: [0 - erythema (nominal)],
1: [1 - scaling (nominal)],
2: [2 - definite_borders (nominal)],
3: [3 - itching (nominal)],
4: [4 - koebner_phenomenon (nominal)],
5: [5 - polygonal_papules (nominal)],
6: [6 - follicular_papules (nominal)],
7: [7 - oral_mucosal_involvement (nominal)],
8: [8 - knee_and_elbow_invol... | {'MajorityClassSize': 112.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 20.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 35.0,
'NumberOfInstances': 366.0,
'NumberOfInstancesWithMissingValues': 8.0,
'NumberOfMissingValues': 8.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 34.0,
'... | dermatology | [
"erythema",
"scaling",
"definite_borders",
"itching",
"koebner_phenomenon",
"polygonal_papules",
"follicular_papules",
"oral_mucosal_involvement",
"knee_and_elbow_involvement",
"scalp_involvement",
"family_history",
"melanin_incontinence",
"eosinophils_in_the_infiltrate",
"PNL_infiltrate",... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false
] | 1,377 |
1,920 | predictive_accuracy | accuracy_score | glass | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Glass Identification Database
2. Sources:
(a) Creator: B. German
-- Central Research Establishment
Home Office Forensic Science Service
Aldermaston, Reading, Berkshire RG7 4PN
(b) Donor: Vina Spiehler, P... | {0: [0 - RI (numeric)],
1: [1 - Na (numeric)],
2: [2 - Mg (numeric)],
3: [3 - Al (numeric)],
4: [4 - Si (numeric)],
5: [5 - K (numeric)],
6: [6 - Ca (numeric)],
7: [7 - Ba (numeric)],
8: [8 - Fe (numeric)],
9: [9 - Type (nominal)]} | {'MajorityClassSize': 76.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 9.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 214.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | glass | [
"RI",
"Na",
"Mg",
"Al",
"Si",
"K",
"Ca",
"Ba",
"Fe"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,379 |
1,937 | predictive_accuracy | accuracy_score | ionosphere | **Author**: Space Physics Group, Applied Physics Laboratory, Johns Hopkins University. Donated by Vince Sigillito.
**Source**: [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/ionosphere)
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Johns Hopkins Universit... | {0: [0 - a01 (numeric)],
1: [1 - a02 (numeric)],
2: [2 - a03 (numeric)],
3: [3 - a04 (numeric)],
4: [4 - a05 (numeric)],
5: [5 - a06 (numeric)],
6: [6 - a07 (numeric)],
7: [7 - a08 (numeric)],
8: [8 - a09 (numeric)],
9: [9 - a10 (numeric)],
10: [10 - a11 (numeric)],
11: [11 - a12 (numeric)],
12: [12 - a13 (... | {'MajorityClassSize': 225.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 126.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 35.0,
'NumberOfInstances': 351.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 34.0,
'NumberOfSymbolicFeatures': 1.0,
... | ionosphere | [
"a01",
"a02",
"a03",
"a04",
"a05",
"a06",
"a07",
"a08",
"a09",
"a10",
"a11",
"a12",
"a13",
"a14",
"a15",
"a16",
"a17",
"a18",
"a19",
"a20",
"a21",
"a22",
"a23",
"a24",
"a25",
"a26",
"a27",
"a28",
"a29",
"a30",
"a31",
"a32",
"a33",
"a34"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,380 |
1,792 | predictive_accuracy | accuracy_score | optdigits | **Author**: E. Alpaydin, C. Kaynak
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/optical+recognition+of+handwritten+digits)
**Please cite**: [UCI citation policy](https://archive.ics.uci.edu/ml/citation_policy.html)
1. Title of Database: Optical Recognition of Handwritten Digits
2. Source:
E. Alp... | {0: [0 - input1 (numeric)],
1: [1 - input2 (numeric)],
2: [2 - input3 (numeric)],
3: [3 - input4 (numeric)],
4: [4 - input5 (numeric)],
5: [5 - input6 (numeric)],
6: [6 - input7 (numeric)],
7: [7 - input8 (numeric)],
8: [8 - input9 (numeric)],
9: [9 - input10 (numeric)],
10: [10 - input11 (numeric)],
11: [11... | {'MajorityClassSize': 572.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 554.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 65.0,
'NumberOfInstances': 5620.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 64.0,
'NumberOfSymbolicFeatures': 1.0... | optdigits | [
"input1",
"input2",
"input3",
"input4",
"input5",
"input6",
"input7",
"input8",
"input9",
"input10",
"input11",
"input12",
"input13",
"input14",
"input15",
"input16",
"input17",
"input18",
"input19",
"input20",
"input21",
"input22",
"input23",
"input24",
"input25",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,381 |
1,917 | predictive_accuracy | accuracy_score | diabetes | **Author**: [Vincent Sigillito](vgs@aplcen.apl.jhu.edu)
**Source**: [Obtained from UCI](https://archive.ics.uci.edu/ml/datasets/pima+indians+diabetes)
**Please cite**: [UCI citation policy](https://archive.ics.uci.edu/ml/citation_policy.html)
1. Title: Pima Indians Diabetes Database
2. Sources:
(a) Origi... | {0: [0 - preg (numeric)],
1: [1 - plas (numeric)],
2: [2 - pres (numeric)],
3: [3 - skin (numeric)],
4: [4 - insu (numeric)],
5: [5 - mass (numeric)],
6: [6 - pedi (numeric)],
7: [7 - age (numeric)],
8: [8 - class (nominal)]} | {'MajorityClassSize': 500.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 268.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 768.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 1.0,
'c... | diabetes | [
"preg",
"plas",
"pres",
"skin",
"insu",
"mass",
"pedi",
"age"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 1,382 |
1,927 | predictive_accuracy | accuracy_score | tae | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Teaching Assistant Evaluation
2. Sources:
(a) Collector: Wei-Yin Loh (Department of Statistics, UW-Madison)
(b) Donor: Tjen-Sien Lim (limt@stat.wisc.edu)
(b) Date: June 7, 1997
3. Past Usage:
1. Loh, W.-Y. & Shih, Y.-S... | {0: [0 - Whether_of_not_the_TA_is_a_native_English_speaker (nominal)],
1: [1 - Course_instructor (numeric)],
2: [2 - Course (numeric)],
3: [3 - Summer_or_regular_semester (nominal)],
4: [4 - Class_size (numeric)],
5: [5 - Class_attribute (nominal)]} | {'MajorityClassSize': 52.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 49.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 151.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 3.0,
'cos... | tae | [
"Whether_of_not_the_TA_is_a_native_English_speaker",
"Course_instructor",
"Course",
"Summer_or_regular_semester",
"Class_size"
] | [
true,
false,
false,
true,
false
] | 1,383 |
1,916 | predictive_accuracy | accuracy_score | segment | **Author**: University of Massachusetts Vision Group, Carla Brodley
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/image+segmentation) - 1990
**Please cite**: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html)
**Image Segmentation Data Set**
The instances were drawn randomly from a database of 7... | {0: [0 - region-centroid-col (numeric)],
1: [1 - region-centroid-row (numeric)],
2: [2 - region-pixel-count (numeric)],
3: [3 - short-line-density-5 (numeric)],
4: [4 - short-line-density-2 (numeric)],
5: [5 - vedge-mean (numeric)],
6: [6 - vegde-sd (numeric)],
7: [7 - hedge-mean (numeric)],
8: [8 - hedge-sd (n... | {'MajorityClassSize': 330.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 330.0,
'NumberOfClasses': 7.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 2310.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 19.0,
'NumberOfSymbolicFeatures': 1.0,
... | segment | [
"region-centroid-col",
"region-centroid-row",
"region-pixel-count",
"short-line-density-5",
"short-line-density-2",
"vedge-mean",
"vegde-sd",
"hedge-mean",
"hedge-sd",
"intensity-mean",
"rawred-mean",
"rawblue-mean",
"rawgreen-mean",
"exred-mean",
"exblue-mean",
"exgreen-mean",
"valu... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,384 |
1,807 | predictive_accuracy | accuracy_score | spambase | **Author**: Mark Hopkins, Erik Reeber, George Forman, Jaap Suermondt
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/spambase)
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
SPAM E-mail Database
The "spam" concept is diverse: advertisements for products/websites, make mo... | {0: [0 - word_freq_make (numeric)],
1: [1 - word_freq_address (numeric)],
2: [2 - word_freq_all (numeric)],
3: [3 - word_freq_3d (numeric)],
4: [4 - word_freq_our (numeric)],
5: [5 - word_freq_over (numeric)],
6: [6 - word_freq_remove (numeric)],
7: [7 - word_freq_internet (numeric)],
8: [8 - word_freq_order (n... | {'MajorityClassSize': 2788.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 1813.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 58.0,
'NumberOfInstances': 4601.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 57.0,
'NumberOfSymbolicFeatures': 1.0... | spambase | [
"word_freq_make",
"word_freq_address",
"word_freq_all",
"word_freq_3d",
"word_freq_our",
"word_freq_over",
"word_freq_remove",
"word_freq_internet",
"word_freq_order",
"word_freq_mail",
"word_freq_receive",
"word_freq_will",
"word_freq_people",
"word_freq_report",
"word_freq_addresses",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,385 |
1,929 | predictive_accuracy | accuracy_score | tic-tac-toe | **Author**: David W. Aha
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Tic-Tac-Toe+Endgame) - 1991
**Please cite**: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html)
**Tic-Tac-Toe Endgame database**
This database encodes the complete set of possible board configurations at the end of tic-t... | {0: [0 - top-left-square (nominal)],
1: [1 - top-middle-square (nominal)],
2: [2 - top-right-square (nominal)],
3: [3 - middle-left-square (nominal)],
4: [4 - middle-middle-square (nominal)],
5: [5 - middle-right-square (nominal)],
6: [6 - bottom-left-square (nominal)],
7: [7 - bottom-middle-square (nominal)],
... | {'MajorityClassSize': 626.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 332.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 958.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 10.0,
... | tic-tac-toe | [
"top-left-square",
"top-middle-square",
"top-right-square",
"middle-left-square",
"middle-middle-square",
"middle-right-square",
"bottom-left-square",
"bottom-middle-square",
"bottom-right-square"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,386 |
1,935 | predictive_accuracy | accuracy_score | vote | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: 1984 United States Congressional Voting Records Database
2. Source Information:
(a) Source: Congressional Quarterly Almanac, 98th Congress,
2nd session 1984, Volume XL: Congressional Quarterly Inc.
Wash... | {0: [0 - handicapped-infants (nominal)],
1: [1 - water-project-cost-sharing (nominal)],
2: [2 - adoption-of-the-budget-resolution (nominal)],
3: [3 - physician-fee-freeze (nominal)],
4: [4 - el-salvador-aid (nominal)],
5: [5 - religious-groups-in-schools (nominal)],
6: [6 - anti-satellite-test-ban (nominal)],
7:... | {'MajorityClassSize': 267.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 168.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 17.0,
'NumberOfInstances': 435.0,
'NumberOfInstancesWithMissingValues': 203.0,
'NumberOfMissingValues': 392.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 17.... | vote | [
"handicapped-infants",
"water-project-cost-sharing",
"adoption-of-the-budget-resolution",
"physician-fee-freeze",
"el-salvador-aid",
"religious-groups-in-schools",
"anti-satellite-test-ban",
"aid-to-nicaraguan-contras",
"mx-missile",
"immigration",
"synfuels-corporation-cutback",
"education-sp... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,387 |
1,922 | predictive_accuracy | accuracy_score | haberman | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Haberman's Survival Data
2. Sources:
(a) Donor: Tjen-Sien Lim (limt@stat.wisc.edu)
(b) Date: March 4, 1999
3. Past Usage:
1. Haberman, S. J. (1976). Generalized Residuals for Log-Linear
Models, Proceedings of the 9th In... | {0: [0 - Age_of_patient_at_time_of_operation (numeric)],
1: [1 - Patients_year_of_operation (nominal)],
2: [2 - Number_of_positive_axillary_nodes_detected (numeric)],
3: [3 - Survival_status (nominal)]} | {'MajorityClassSize': 225.0,
'MaxNominalAttDistinctValues': 12.0,
'MinorityClassSize': 81.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 306.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 2.0,
'c... | haberman | [
"Age_of_patient_at_time_of_operation",
"Patients_year_of_operation",
"Number_of_positive_axillary_nodes_detected"
] | [
false,
true,
false
] | 1,388 |
1,904 | predictive_accuracy | accuracy_score | mushroom | **Author**: [Jeff Schlimmer](Jeffrey.Schlimmer@a.gp.cs.cmu.edu)
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/mushroom) - 1981
**Please cite**: The Audubon Society Field Guide to North American Mushrooms (1981). G. H. Lincoff (Pres.), New York: Alfred A. Knopf
### Description
This dataset descri... | {0: [0 - cap-shape (nominal)],
1: [1 - cap-surface (nominal)],
2: [2 - cap-color (nominal)],
3: [3 - bruises%3F (nominal)],
4: [4 - odor (nominal)],
5: [5 - gill-attachment (nominal)],
6: [6 - gill-spacing (nominal)],
7: [7 - gill-size (nominal)],
8: [8 - gill-color (nominal)],
9: [9 - stalk-shape (nominal)],
... | {'MajorityClassSize': 4208.0,
'MaxNominalAttDistinctValues': 12.0,
'MinorityClassSize': 3916.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 23.0,
'NumberOfInstances': 8124.0,
'NumberOfInstancesWithMissingValues': 2480.0,
'NumberOfMissingValues': 2480.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures... | mushroom | [
"cap-shape",
"cap-surface",
"cap-color",
"bruises%3F",
"odor",
"gill-attachment",
"gill-spacing",
"gill-size",
"gill-color",
"stalk-shape",
"stalk-root",
"stalk-surface-above-ring",
"stalk-surface-below-ring",
"stalk-color-above-ring",
"stalk-color-below-ring",
"veil-type",
"veil-col... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,390 |
1,910 | predictive_accuracy | accuracy_score | page-blocks | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title of Database: Blocks Classification
2. Sources:
(a) Donato Malerba
Dipartimento di Informatica
University of Bari
via Orabona 4
70126 Bari - Italy
phone: +39 - 80 - 5443269
fax: +39 - 80 - 5443196
... | {0: [0 - height (numeric)],
1: [1 - lenght (numeric)],
2: [2 - area (numeric)],
3: [3 - eccen (numeric)],
4: [4 - p_black (numeric)],
5: [5 - p_and (numeric)],
6: [6 - mean_tr (numeric)],
7: [7 - blackpix (numeric)],
8: [8 - blackand (numeric)],
9: [9 - wb_trans (numeric)],
10: [10 - class (nominal)]} | {'MajorityClassSize': 4913.0,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': 28.0,
'NumberOfClasses': 5.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 5473.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 1.0,
... | page-blocks | [
"height",
"lenght",
"area",
"eccen",
"p_black",
"p_and",
"mean_tr",
"blackpix",
"blackand",
"wb_trans"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,391 |
1,928 | predictive_accuracy | accuracy_score | heart-c | **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': 165.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 138.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 303.0,
'NumberOfInstancesWithMissingValues': 7.0,
'NumberOfMissingValues': 7.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 8.0,
'... | heart-c | [
"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
] | 1,392 |
1,911 | predictive_accuracy | accuracy_score | credit-g | **Author**: Dr. Hans Hofmann
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)) - 1994
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**German Credit dataset**
This dataset classifies people described by a set of attributes as good or bad credit... | {0: [0 - checking_status (nominal)],
1: [1 - duration (numeric)],
2: [2 - credit_history (nominal)],
3: [3 - purpose (nominal)],
4: [4 - credit_amount (numeric)],
5: [5 - savings_status (nominal)],
6: [6 - employment (nominal)],
7: [7 - installment_commitment (numeric)],
8: [8 - personal_status (nominal)],
9: ... | {'MajorityClassSize': 700.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 300.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 21.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 14.0,... | credit-g | [
"checking_status",
"duration",
"credit_history",
"purpose",
"credit_amount",
"savings_status",
"employment",
"installment_commitment",
"personal_status",
"other_parties",
"residence_since",
"property_magnitude",
"age",
"other_payment_plans",
"housing",
"existing_credits",
"job",
"n... | [
true,
false,
true,
true,
false,
true,
true,
false,
true,
true,
false,
true,
false,
true,
true,
false,
true,
false,
true,
true
] | 1,393 |
1,932 | predictive_accuracy | accuracy_score | heart-statlog | **Author**:
**Source**: Unknown -
**Please cite**:
This database contains 13 attributes (which have been extracted from
a larger set of 75)
Attribute Information:
------------------------
-- 1. age
-- 2. sex
-- 3. chest pain type (4 values)
-... | {0: [0 - age (numeric)],
1: [1 - sex (numeric)],
2: [2 - chest (numeric)],
3: [3 - resting_blood_pressure (numeric)],
4: [4 - serum_cholestoral (numeric)],
5: [5 - fasting_blood_sugar (numeric)],
6: [6 - resting_electrocardiographic_results (numeric)],
7: [7 - maximum_heart_rate_achieved (numeric)],
8: [8 - exe... | {'MajorityClassSize': 150.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 120.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 270.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 1.0,
... | heart-statlog | [
"age",
"sex",
"chest",
"resting_blood_pressure",
"serum_cholestoral",
"fasting_blood_sugar",
"resting_electrocardiographic_results",
"maximum_heart_rate_achieved",
"exercise_induced_angina",
"oldpeak",
"slope",
"number_of_major_vessels",
"thal"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,394 |
1,934 | predictive_accuracy | accuracy_score | hepatitis | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Hepatitis Domain
2. Sources:
(a) unknown
(b) Donor: G.Gong (Carnegie-Mellon University) via
Bojan Cestnik
Jozef Stefan Institute
Jamova 39
61000 Ljublja... | {0: [0 - AGE (numeric)],
1: [1 - SEX (nominal)],
2: [2 - STEROID (nominal)],
3: [3 - ANTIVIRALS (nominal)],
4: [4 - FATIGUE (nominal)],
5: [5 - MALAISE (nominal)],
6: [6 - ANOREXIA (nominal)],
7: [7 - LIVER_BIG (nominal)],
8: [8 - LIVER_FIRM (nominal)],
9: [9 - SPLEEN_PALPABLE (nominal)],
10: [10 - SPIDERS (n... | {'MajorityClassSize': 123.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 32.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 155.0,
'NumberOfInstancesWithMissingValues': 75.0,
'NumberOfMissingValues': 167.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 14.0,... | hepatitis | [
"AGE",
"SEX",
"STEROID",
"ANTIVIRALS",
"FATIGUE",
"MALAISE",
"ANOREXIA",
"LIVER_BIG",
"LIVER_FIRM",
"SPLEEN_PALPABLE",
"SPIDERS",
"ASCITES",
"VARICES",
"BILIRUBIN",
"ALK_PHOSPHATE",
"SGOT",
"ALBUMIN",
"PROTIME",
"HISTOLOGY"
] | [
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
true
] | 1,395 |
1,933 | predictive_accuracy | accuracy_score | vehicle | **Author**: Dr. Pete Mowforth and Dr. Barry Shepherd
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Statlog+(Vehicle+Silhouettes))
**Please cite**: Siebert,JP. Turing Institute Research Memorandum TIRM-87-018 "Vehicle Recognition Using Rule Based Methods" (March 1987)
NAME
vehicle silhouettes
... | {0: [0 - COMPACTNESS (numeric)],
1: [1 - CIRCULARITY (numeric)],
2: [2 - DISTANCE_CIRCULARITY (numeric)],
3: [3 - RADIUS_RATIO (numeric)],
4: [4 - PR.AXIS_ASPECT_RATIO (numeric)],
5: [5 - MAX.LENGTH_ASPECT_RATIO (numeric)],
6: [6 - SCATTER_RATIO (numeric)],
7: [7 - ELONGATEDNESS (numeric)],
8: [8 - PR.AXIS_RECT... | {'MajorityClassSize': 218.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 199.0,
'NumberOfClasses': 4.0,
'NumberOfFeatures': 19.0,
'NumberOfInstances': 846.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 18.0,
'NumberOfSymbolicFeatures': 1.0,
... | vehicle | [
"COMPACTNESS",
"CIRCULARITY",
"DISTANCE_CIRCULARITY",
"RADIUS_RATIO",
"PR.AXIS_ASPECT_RATIO",
"MAX.LENGTH_ASPECT_RATIO",
"SCATTER_RATIO",
"ELONGATEDNESS",
"PR.AXIS_RECTANGULARITY",
"MAX.LENGTH_RECTANGULARITY",
"SCALED_VARIANCE_MAJOR",
"SCALED_VARIANCE_MINOR",
"SCALED_RADIUS_OF_GYRATION",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,396 |
1,950 | predictive_accuracy | accuracy_score | autos | **Author**: Jeffrey C. Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu)
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Automobile) - 1987
**Please cite**:
**1985 Auto Imports Database**
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteris... | {0: [0 - normalized-losses (numeric)],
1: [1 - make (nominal)],
2: [2 - fuel-type (nominal)],
3: [3 - aspiration (nominal)],
4: [4 - num-of-doors (nominal)],
5: [5 - body-style (nominal)],
6: [6 - drive-wheels (nominal)],
7: [7 - engine-location (nominal)],
8: [8 - wheel-base (numeric)],
9: [9 - length (numeri... | {'MajorityClassSize': 67.0,
'MaxNominalAttDistinctValues': 22.0,
'MinorityClassSize': 3.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 205.0,
'NumberOfInstancesWithMissingValues': 46.0,
'NumberOfMissingValues': 59.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 11.0,
... | autos | [
"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",
"compression-rat... | [
false,
true,
true,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
true,
true,
false,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,398 |
1,939 | predictive_accuracy | accuracy_score | iris | **Author**: R.A. Fisher
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Iris) - 1936 - Donated by Michael Marshall
**Please cite**:
**Iris Plants Database**
This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is ref... | {0: [0 - sepallength (numeric)],
1: [1 - sepalwidth (numeric)],
2: [2 - petallength (numeric)],
3: [3 - petalwidth (numeric)],
4: [4 - class (nominal)]} | {'MajorityClassSize': 50.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 50.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 150.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | iris | [
"sepallength",
"sepalwidth",
"petallength",
"petalwidth"
] | [
false,
false,
false,
false
] | 1,399 |
1,930 | predictive_accuracy | accuracy_score | heart-h | **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 - chest_pain (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 ... | {'MajorityClassSize': 188.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 106.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 294.0,
'NumberOfInstancesWithMissingValues': 293.0,
'NumberOfMissingValues': 782.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 8.0... | heart-h | [
"age",
"sex",
"chest_pain",
"trestbps",
"chol",
"fbs",
"restecg",
"thalach",
"exang",
"oldpeak",
"slope",
"ca",
"thal"
] | [
false,
true,
true,
false,
false,
true,
true,
false,
true,
false,
true,
false,
true
] | 1,400 |
212,096 | predictive_accuracy | accuracy_score | parkinson-speech-uci | Source:
C. Okan Sakar a, Gorkem Serbes b, Aysegul Gunduz c,
Hunkar C. Tunc a, Hatice Nizam d, Betul Erdogdu Sakar e, Melih Tutuncu c,
Tarkan Aydin a, M. Erdem Isenkul d, Hulya Apaydin c
a Department of Computer Engineering, Bahcesehir University, Istanbul, 34353, Turkey
b Department of Biomedical Engineering, Yildiz T... | {0: [0 - id (numeric)],
1: [1 - gender (numeric)],
2: [2 - PPE (numeric)],
3: [3 - DFA (numeric)],
4: [4 - RPDE (numeric)],
5: [5 - numPulses (numeric)],
6: [6 - numPeriodsPulses (numeric)],
7: [7 - meanPeriodPulses (numeric)],
8: [8 - stdDevPeriodPulses (numeric)],
9: [9 - locPctJitter (numeric)],
10: [10 - ... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 754.0,
'NumberOfInstances': 756.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 754.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | parkinson-speech-uci | [
"gender",
"PPE",
"DFA",
"RPDE",
"numPulses",
"numPeriodsPulses",
"meanPeriodPulses",
"stdDevPeriodPulses",
"locPctJitter",
"locAbsJitter",
"rapJitter",
"ppq5Jitter",
"ddpJitter",
"locShimmer",
"locDbShimmer",
"apq3Shimmer",
"apq5Shimmer",
"apq11Shimmer",
"ddaShimmer",
"meanAuto... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,401 |
1,925 | predictive_accuracy | accuracy_score | splice | **Author**: Genbank. Donated by G. Towell, M. Noordewier, and J. Shavlik
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Molecular+Biology+(Splice-junction+Gene+Sequences))
**Please cite**: None
Primate splice-junction gene sequences (DNA) with associated imperfect domain theory.
Splice junctions are... | {0: [0 - Instance_name (nominal)],
1: [1 - attribute_1 (nominal)],
2: [2 - attribute_2 (nominal)],
3: [3 - attribute_3 (nominal)],
4: [4 - attribute_4 (nominal)],
5: [5 - attribute_5 (nominal)],
6: [6 - attribute_6 (nominal)],
7: [7 - attribute_7 (nominal)],
8: [8 - attribute_8 (nominal)],
9: [9 - attribute_9 ... | {'MajorityClassSize': 1655.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 767.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 61.0,
'NumberOfInstances': 3190.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 61.0,... | splice | [
"attribute_1",
"attribute_2",
"attribute_3",
"attribute_4",
"attribute_5",
"attribute_6",
"attribute_7",
"attribute_8",
"attribute_9",
"attribute_10",
"attribute_11",
"attribute_12",
"attribute_13",
"attribute_14",
"attribute_15",
"attribute_16",
"attribute_17",
"attribute_18",
"... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true... | 1,402 |
1,946 | predictive_accuracy | accuracy_score | labor | **Author**: Unknown
**Source**: Collective Barganing Review, Labour Canada
**Please cite**: https://archive.ics.uci.edu/ml/citation_policy.html
Date: Tue, 15 Nov 88 15:44:08 EST
From: stan <stan@csi2.UofO.EDU>
To: aha@ICS.UCI.EDU
1. Title: Final settlements in labor negotitions in Canadian industry
2. Source I... | {0: [0 - duration (numeric)],
1: [1 - wage-increase-first-year (numeric)],
2: [2 - wage-increase-second-year (numeric)],
3: [3 - wage-increase-third-year (numeric)],
4: [4 - cost-of-living-adjustment (nominal)],
5: [5 - working-hours (numeric)],
6: [6 - pension (nominal)],
7: [7 - standby-pay (numeric)],
8: [8 ... | {'MajorityClassSize': 37.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 20.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 17.0,
'NumberOfInstances': 57.0,
'NumberOfInstancesWithMissingValues': 56.0,
'NumberOfMissingValues': 326.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 9.0,
'... | labor | [
"duration",
"wage-increase-first-year",
"wage-increase-second-year",
"wage-increase-third-year",
"cost-of-living-adjustment",
"working-hours",
"pension",
"standby-pay",
"shift-differential",
"education-allowance",
"statutory-holidays",
"vacation",
"longterm-disability-assistance",
"contrib... | [
false,
false,
false,
false,
true,
false,
true,
false,
false,
true,
false,
true,
true,
true,
true,
true
] | 1,403 |
211,968 | predictive_accuracy | accuracy_score | parkinson-speech-uci | Source:
C. Okan Sakar a, Gorkem Serbes b, Aysegul Gunduz c,
Hunkar C. Tunc a, Hatice Nizam d, Betul Erdogdu Sakar e, Melih Tutuncu c,
Tarkan Aydin a, M. Erdem Isenkul d, Hulya Apaydin c
a Department of Computer Engineering, Bahcesehir University, Istanbul, 34353, Turkey
b Department of Biomedical Engineering, Yildiz T... | {0: [0 - id (numeric)],
1: [1 - gender (numeric)],
2: [2 - PPE (numeric)],
3: [3 - DFA (numeric)],
4: [4 - RPDE (numeric)],
5: [5 - numPulses (numeric)],
6: [6 - numPeriodsPulses (numeric)],
7: [7 - meanPeriodPulses (numeric)],
8: [8 - stdDevPeriodPulses (numeric)],
9: [9 - locPctJitter (numeric)],
10: [10 - ... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 754.0,
'NumberOfInstances': 756.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 754.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | parkinson-speech-uci | [
"gender",
"PPE",
"DFA",
"RPDE",
"numPulses",
"numPeriodsPulses",
"meanPeriodPulses",
"stdDevPeriodPulses",
"locPctJitter",
"locAbsJitter",
"rapJitter",
"ppq5Jitter",
"ddpJitter",
"locShimmer",
"locDbShimmer",
"apq3Shimmer",
"apq5Shimmer",
"apq11Shimmer",
"ddaShimmer",
"meanAuto... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,404 |
1,940 | predictive_accuracy | accuracy_score | zoo | **Author**: Richard S. Forsyth
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Zoo) - 5/15/1990
**Please cite**:
**Zoo database**
A simple database containing 17 Boolean-valued attributes describing animals. The "type" attribute appears to be the class attribute.
Notes:
* I find it unusual tha... | {0: [0 - animal (nominal)],
1: [1 - hair (nominal)],
2: [2 - feathers (nominal)],
3: [3 - eggs (nominal)],
4: [4 - milk (nominal)],
5: [5 - airborne (nominal)],
6: [6 - aquatic (nominal)],
7: [7 - predator (nominal)],
8: [8 - toothed (nominal)],
9: [9 - backbone (nominal)],
10: [10 - breathes (nominal)],
11:... | {'MajorityClassSize': 41.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 4.0,
'NumberOfClasses': 7.0,
'NumberOfFeatures': 17.0,
'NumberOfInstances': 101.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 16.0,
'co... | zoo | [
"hair",
"feathers",
"eggs",
"milk",
"airborne",
"aquatic",
"predator",
"toothed",
"backbone",
"breathes",
"venomous",
"fins",
"legs",
"tail",
"domestic",
"catsize"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
true,
true,
true
] | 1,405 |
1,952 | predictive_accuracy | accuracy_score | balance-scale | **Author**: Siegler, R. S. (donated by Tim Hume)
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/balance+scale) - 1994
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Balance Scale Weight & Distance Database**
This data set was generated to model psychological experiment... | {0: [0 - left-weight (numeric)],
1: [1 - left-distance (numeric)],
2: [2 - right-weight (numeric)],
3: [3 - right-distance (numeric)],
4: [4 - class (nominal)]} | {'MajorityClassSize': 288.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 49.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 625.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'co... | balance-scale | [
"left-weight",
"left-distance",
"right-weight",
"right-distance"
] | [
false,
false,
false,
false
] | 1,406 |
1,948 | predictive_accuracy | accuracy_score | audiology | **Author**: Professor Jergen at Baylor College of Medicine
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Audiology+(Standardized))
**Please cite**: Bareiss, E. Ray, & Porter, Bruce (1987). Protos: An Exemplar-Based Learning Apprentice. In the Proceedings of the 4th International Workshop on Machine Learning... | {0: [0 - age_gt_60 (nominal)],
1: [1 - air (nominal)],
2: [2 - airBoneGap (nominal)],
3: [3 - ar_c (nominal)],
4: [4 - ar_u (nominal)],
5: [5 - bone (nominal)],
6: [6 - boneAbnormal (nominal)],
7: [7 - bser (nominal)],
8: [8 - history_buzzing (nominal)],
9: [9 - history_dizziness (nominal)],
10: [10 - history... | {'MajorityClassSize': 57.0,
'MaxNominalAttDistinctValues': 24.0,
'MinorityClassSize': 1.0,
'NumberOfClasses': 24.0,
'NumberOfFeatures': 70.0,
'NumberOfInstances': 226.0,
'NumberOfInstancesWithMissingValues': 222.0,
'NumberOfMissingValues': 317.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 70.0... | audiology | [
"age_gt_60",
"air",
"airBoneGap",
"ar_c",
"ar_u",
"bone",
"boneAbnormal",
"bser",
"history_buzzing",
"history_dizziness",
"history_fluctuating",
"history_fullness",
"history_heredity",
"history_nausea",
"history_noise",
"history_recruitment",
"history_ringing",
"history_roaring",
... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true... | 1,407 |
1,951 | predictive_accuracy | accuracy_score | lymph | **Author**:
**Source**: Unknown -
**Please cite**:
Citation Request:
This lymphography domain was obtained from the University Medical Centre,
Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and
M. Soklic for providing the data. Please include this citation if you plan
... | {0: [0 - lymphatics (nominal)],
1: [1 - block_of_affere (nominal)],
2: [2 - bl_of_lymph_c (nominal)],
3: [3 - bl_of_lymph_s (nominal)],
4: [4 - by_pass (nominal)],
5: [5 - extravasates (nominal)],
6: [6 - regeneration_of (nominal)],
7: [7 - early_uptake_in (nominal)],
8: [8 - lym_nodes_dimin (numeric)],
9: [9 ... | {'MajorityClassSize': 81.0,
'MaxNominalAttDistinctValues': 8.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 4.0,
'NumberOfFeatures': 19.0,
'NumberOfInstances': 148.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 16.0,
'co... | lymph | [
"lymphatics",
"block_of_affere",
"bl_of_lymph_c",
"bl_of_lymph_s",
"by_pass",
"extravasates",
"regeneration_of",
"early_uptake_in",
"lym_nodes_dimin",
"lym_nodes_enlar",
"changes_in_lym",
"defect_in_node",
"changes_in_node",
"changes_in_stru",
"special_forms",
"dislocation_of",
"excl... | [
true,
true,
true,
true,
true,
true,
true,
true,
false,
false,
true,
true,
true,
true,
true,
true,
true,
false
] | 1,408 |
1,954 | predictive_accuracy | accuracy_score | breast-cancer | **Author**:
**Source**: Unknown -
**Please cite**:
Citation Request:
This breast cancer domain was obtained from the University Medical Centre,
Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and
M. Soklic for providing the data. Please include this citation if you plan
... | {0: [0 - age (nominal)],
1: [1 - menopause (nominal)],
2: [2 - tumor-size (nominal)],
3: [3 - inv-nodes (nominal)],
4: [4 - node-caps (nominal)],
5: [5 - deg-malig (nominal)],
6: [6 - breast (nominal)],
7: [7 - breast-quad (nominal)],
8: [8 - irradiat (nominal)],
9: [9 - Class (nominal)]} | {'MajorityClassSize': 201.0,
'MaxNominalAttDistinctValues': 11.0,
'MinorityClassSize': 85.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 286.0,
'NumberOfInstancesWithMissingValues': 9.0,
'NumberOfMissingValues': 9.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 10.0,
... | breast-cancer | [
"age",
"menopause",
"tumor-size",
"inv-nodes",
"node-caps",
"deg-malig",
"breast",
"breast-quad",
"irradiat"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,409 |
3,528 | predictive_accuracy | accuracy_score | 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... | 1,410 |
1,896 | predictive_accuracy | accuracy_score | mfeat-karhunen | **Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Multiple Features Dataset: Karhunen**
One of a set of 6 ... | {0: [0 - att1 (numeric)],
1: [1 - att2 (numeric)],
2: [2 - att3 (numeric)],
3: [3 - att4 (numeric)],
4: [4 - att5 (numeric)],
5: [5 - att6 (numeric)],
6: [6 - att7 (numeric)],
7: [7 - att8 (numeric)],
8: [8 - att9 (numeric)],
9: [9 - att10 (numeric)],
10: [10 - att11 (numeric)],
11: [11 - att12 (numeric)],
... | {'MajorityClassSize': 200.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 200.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 65.0,
'NumberOfInstances': 2000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 64.0,
'NumberOfSymbolicFeatures': 1.0... | mfeat-karhunen | [
"att1",
"att2",
"att3",
"att4",
"att5",
"att6",
"att7",
"att8",
"att9",
"att10",
"att11",
"att12",
"att13",
"att14",
"att15",
"att16",
"att17",
"att18",
"att19",
"att20",
"att21",
"att22",
"att23",
"att24",
"att25",
"att26",
"att27",
"att28",
"att29",
"att30... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,411 |
3,531 | predictive_accuracy | accuracy_score | 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... | 1,412 |
1,959 | predictive_accuracy | accuracy_score | mfeat-morphological | **Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Multiple Features Dataset: Morphological**
One of a set ... | {0: [0 - att1 (numeric)],
1: [1 - att2 (numeric)],
2: [2 - att3 (numeric)],
3: [3 - att4 (numeric)],
4: [4 - att5 (numeric)],
5: [5 - att6 (numeric)],
6: [6 - class (nominal)]} | {'MajorityClassSize': 200.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 200.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 2000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 1.0,
... | mfeat-morphological | [
"att1",
"att2",
"att3",
"att4",
"att5",
"att6"
] | [
false,
false,
false,
false,
false,
false
] | 1,413 |
1,956 | predictive_accuracy | accuracy_score | breast-w | **Author**: Dr. William H. Wolberg, University of Wisconsin
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original)), [University of Wisconsin](http://pages.cs.wisc.edu/~olvi/uwmp/cancer.html) - 1995
**Please cite**: See below, plus [UCI](https://archive.ics.uci.edu/ml/citation_... | {0: [0 - Clump_Thickness (numeric)],
1: [1 - Cell_Size_Uniformity (numeric)],
2: [2 - Cell_Shape_Uniformity (numeric)],
3: [3 - Marginal_Adhesion (numeric)],
4: [4 - Single_Epi_Cell_Size (numeric)],
5: [5 - Bare_Nuclei (numeric)],
6: [6 - Bland_Chromatin (numeric)],
7: [7 - Normal_Nucleoli (numeric)],
8: [8 - M... | {'MajorityClassSize': 458.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 241.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 699.0,
'NumberOfInstancesWithMissingValues': 16.0,
'NumberOfMissingValues': 16.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 1.0,
... | breast-w | [
"Clump_Thickness",
"Cell_Size_Uniformity",
"Cell_Shape_Uniformity",
"Marginal_Adhesion",
"Single_Epi_Cell_Size",
"Bare_Nuclei",
"Bland_Chromatin",
"Normal_Nucleoli",
"Mitoses"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,414 |
1,902 | predictive_accuracy | accuracy_score | mfeat-zernike | **Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Multiple Features Dataset: Zernike**
One of a set of 6 d... | {0: [0 - att1 (numeric)],
1: [1 - att2 (numeric)],
2: [2 - att3 (numeric)],
3: [3 - att4 (numeric)],
4: [4 - att5 (numeric)],
5: [5 - att6 (numeric)],
6: [6 - att7 (numeric)],
7: [7 - att8 (numeric)],
8: [8 - att9 (numeric)],
9: [9 - att10 (numeric)],
10: [10 - att11 (numeric)],
11: [11 - att12 (numeric)],
... | {'MajorityClassSize': 200.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 200.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 48.0,
'NumberOfInstances': 2000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 47.0,
'NumberOfSymbolicFeatures': 1.0... | mfeat-zernike | [
"att1",
"att2",
"att3",
"att4",
"att5",
"att6",
"att7",
"att8",
"att9",
"att10",
"att11",
"att12",
"att13",
"att14",
"att15",
"att16",
"att17",
"att18",
"att19",
"att20",
"att21",
"att22",
"att23",
"att24",
"att25",
"att26",
"att27",
"att28",
"att29",
"att30... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,415 |
1,921 | predictive_accuracy | accuracy_score | soybean | **Author**: R.S. Michalski and R.L. Chilausky (Donors: Ming Tan & Jeff Schlimmer)
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Soybean+(Large)) - 1988
**Please cite**: R.S. Michalski and R.L. Chilausky "Learning by Being Told and Learning from Examples: An Experimental Comparison of the Two Methods of ... | {0: [0 - date (nominal)],
1: [1 - plant-stand (nominal)],
2: [2 - precip (nominal)],
3: [3 - temp (nominal)],
4: [4 - hail (nominal)],
5: [5 - crop-hist (nominal)],
6: [6 - area-damaged (nominal)],
7: [7 - severity (nominal)],
8: [8 - seed-tmt (nominal)],
9: [9 - germination (nominal)],
10: [10 - plant-growth... | {'MajorityClassSize': 92.0,
'MaxNominalAttDistinctValues': 19.0,
'MinorityClassSize': 8.0,
'NumberOfClasses': 19.0,
'NumberOfFeatures': 36.0,
'NumberOfInstances': 683.0,
'NumberOfInstancesWithMissingValues': 121.0,
'NumberOfMissingValues': 2337.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 36.... | soybean | [
"date",
"plant-stand",
"precip",
"temp",
"hail",
"crop-hist",
"area-damaged",
"severity",
"seed-tmt",
"germination",
"plant-growth",
"leaves",
"leafspots-halo",
"leafspots-marg",
"leafspot-size",
"leaf-shread",
"leaf-malf",
"leaf-mild",
"stem",
"lodging",
"stem-cankers",
"c... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,416 |
1,964 | predictive_accuracy | accuracy_score | cmc | **Author**: [Tjen-Sien Lim](limt@stat.wisc.edu)
**Source**: [As obtained from UCI](https://archive.ics.uci.edu/ml/datasets/Contraceptive+Method+Choice)
**Please cite**: [UCI citation](https://archive.ics.uci.edu/ml/citation_policy.html)
1. Title: Contraceptive Method Choice
2. Sources:
(a) Origin: This datase... | {0: [0 - Wifes_age (numeric)],
1: [1 - Wifes_education (nominal)],
2: [2 - Husbands_education (nominal)],
3: [3 - Number_of_children_ever_born (numeric)],
4: [4 - Wifes_religion (nominal)],
5: [5 - Wifes_now_working%3F (nominal)],
6: [6 - Husbands_occupation (nominal)],
7: [7 - Standard-of-living_index (nominal)... | {'MajorityClassSize': 629.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 333.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 1473.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 8.0,
... | cmc | [
"Wifes_age",
"Wifes_education",
"Husbands_education",
"Number_of_children_ever_born",
"Wifes_religion",
"Wifes_now_working%3F",
"Husbands_occupation",
"Standard-of-living_index",
"Media_exposure"
] | [
false,
true,
true,
false,
true,
true,
true,
true,
true
] | 1,420 |
1,974 | predictive_accuracy | accuracy_score | ecoli | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Protein Localization Sites
2. Creator and Maintainer:
Kenta Nakai
Institue of Molecular and Cellular Biology
Osaka, University
1-3 Yamada-oka, Suita 565 Japan
nakai@imcb.osaka-u.ac.jp
http... | {0: [0 - mcg (numeric)],
1: [1 - gvh (numeric)],
2: [2 - lip (numeric)],
3: [3 - chg (numeric)],
4: [4 - aac (numeric)],
5: [5 - alm1 (numeric)],
6: [6 - alm2 (numeric)],
7: [7 - class (nominal)]} | {'MajorityClassSize': 143.0,
'MaxNominalAttDistinctValues': 8.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 8.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 336.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | ecoli | [
"mcg",
"gvh",
"lip",
"chg",
"aac",
"alm1",
"alm2"
] | [
false,
false,
false,
false,
false,
false,
false
] | 1,421 |
1,947 | predictive_accuracy | accuracy_score | arrhythmia | **Author**: H. Altay Guvenir, Burak Acar, Haldun Muderrisoglu
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/arrhythmia)
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Cardiac Arrhythmia Database**
The aim is to determine the type of arrhythmia from the ECG recordings. ... | {0: [0 - age (numeric)],
1: [1 - sex (nominal)],
2: [2 - height (numeric)],
3: [3 - weight (numeric)],
4: [4 - QRSduration (numeric)],
5: [5 - PRinterval (numeric)],
6: [6 - Q-Tinterval (numeric)],
7: [7 - Tinterval (numeric)],
8: [8 - Pinterval (numeric)],
9: [9 - QRS (numeric)],
10: [10 - T (numeric)],
11:... | {'MajorityClassSize': 245.0,
'MaxNominalAttDistinctValues': 13.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 13.0,
'NumberOfFeatures': 280.0,
'NumberOfInstances': 452.0,
'NumberOfInstancesWithMissingValues': 384.0,
'NumberOfMissingValues': 408.0,
'NumberOfNumericFeatures': 206.0,
'NumberOfSymbolicFeatures': ... | arrhythmia | [
"age",
"sex",
"height",
"weight",
"QRSduration",
"PRinterval",
"Q-Tinterval",
"Tinterval",
"Pinterval",
"QRS",
"T",
"P",
"QRST",
"J",
"heartrate",
"chDI_Qwave",
"chDI_Rwave",
"chDI_Swave",
"chDI_RPwave",
"chDI_SPwave",
"chDI_intrinsicReflecttions",
"chDI_RRwaveExists",
"c... | [
false,
true,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
true,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
false,
true,
true,
true,
tr... | 1,422 |
1,976 | predictive_accuracy | accuracy_score | glass | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Glass Identification Database
2. Sources:
(a) Creator: B. German
-- Central Research Establishment
Home Office Forensic Science Service
Aldermaston, Reading, Berkshire RG7 4PN
(b) Donor: Vina Spiehler, P... | {0: [0 - RI (numeric)],
1: [1 - Na (numeric)],
2: [2 - Mg (numeric)],
3: [3 - Al (numeric)],
4: [4 - Si (numeric)],
5: [5 - K (numeric)],
6: [6 - Ca (numeric)],
7: [7 - Ba (numeric)],
8: [8 - Fe (numeric)],
9: [9 - Type (nominal)]} | {'MajorityClassSize': 76.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 9.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 214.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | glass | [
"RI",
"Na",
"Mg",
"Al",
"Si",
"K",
"Ca",
"Ba",
"Fe"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,423 |
1,975 | predictive_accuracy | accuracy_score | sonar | **Author**:
**Source**: Unknown -
**Please cite**:
NAME: Sonar, Mines vs. Rocks
SUMMARY: This is the data set used by Gorman and Sejnowski in their study
of the classification of sonar signals using a neural network [1]. The
task is to train a network to discriminate between sonar signals bounced
off a... | {0: [0 - attribute_1 (numeric)],
1: [1 - attribute_2 (numeric)],
2: [2 - attribute_3 (numeric)],
3: [3 - attribute_4 (numeric)],
4: [4 - attribute_5 (numeric)],
5: [5 - attribute_6 (numeric)],
6: [6 - attribute_7 (numeric)],
7: [7 - attribute_8 (numeric)],
8: [8 - attribute_9 (numeric)],
9: [9 - attribute_10 (... | {'MajorityClassSize': 111.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 97.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 61.0,
'NumberOfInstances': 208.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 60.0,
'NumberOfSymbolicFeatures': 1.0,
'... | sonar | [
"attribute_1",
"attribute_2",
"attribute_3",
"attribute_4",
"attribute_5",
"attribute_6",
"attribute_7",
"attribute_8",
"attribute_9",
"attribute_10",
"attribute_11",
"attribute_12",
"attribute_13",
"attribute_14",
"attribute_15",
"attribute_16",
"attribute_17",
"attribute_18",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,424 |
1,971 | predictive_accuracy | accuracy_score | dermatology | 1. Title: Dermatology Database
2. Source Information:
(a) Original owners:
-- 1. Nilsel Ilter, M.D., Ph.D.,
Gazi University,
School of Medicine
06510 Ankara, Turkey
Phone: +90 (312) 214 1080
-- 2. H. Altay Guvenir, PhD.,
Bilkent Univ... | {0: [0 - erythema (nominal)],
1: [1 - scaling (nominal)],
2: [2 - definite_borders (nominal)],
3: [3 - itching (nominal)],
4: [4 - koebner_phenomenon (nominal)],
5: [5 - polygonal_papules (nominal)],
6: [6 - follicular_papules (nominal)],
7: [7 - oral_mucosal_involvement (nominal)],
8: [8 - knee_and_elbow_invol... | {'MajorityClassSize': 112.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 20.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 35.0,
'NumberOfInstances': 366.0,
'NumberOfInstancesWithMissingValues': 8.0,
'NumberOfMissingValues': 8.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 34.0,
'... | dermatology | [
"erythema",
"scaling",
"definite_borders",
"itching",
"koebner_phenomenon",
"polygonal_papules",
"follicular_papules",
"oral_mucosal_involvement",
"knee_and_elbow_involvement",
"scalp_involvement",
"family_history",
"melanin_incontinence",
"eosinophils_in_the_infiltrate",
"PNL_infiltrate",... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false
] | 1,425 |
1,967 | predictive_accuracy | accuracy_score | credit-approval | **Author**: Confidential - Donated by Ross Quinlan
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/credit+approval) - 1987
**Please cite**: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html)
**Credit Approval**
This file concerns credit card applications. All attribute names and values have been... | {0: [0 - A1 (nominal)],
1: [1 - A2 (numeric)],
2: [2 - A3 (numeric)],
3: [3 - A4 (nominal)],
4: [4 - A5 (nominal)],
5: [5 - A6 (nominal)],
6: [6 - A7 (nominal)],
7: [7 - A8 (numeric)],
8: [8 - A9 (nominal)],
9: [9 - A10 (nominal)],
10: [10 - A11 (numeric)],
11: [11 - A12 (nominal)],
12: [12 - A13 (nominal)]... | {'MajorityClassSize': 383.0,
'MaxNominalAttDistinctValues': 14.0,
'MinorityClassSize': 307.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 16.0,
'NumberOfInstances': 690.0,
'NumberOfInstancesWithMissingValues': 37.0,
'NumberOfMissingValues': 67.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 10.0... | credit-approval | [
"A1",
"A2",
"A3",
"A4",
"A5",
"A6",
"A7",
"A8",
"A9",
"A10",
"A11",
"A12",
"A13",
"A14",
"A15"
] | [
true,
false,
false,
true,
true,
true,
true,
false,
true,
true,
false,
true,
true,
false,
false
] | 1,426 |
1,986 | predictive_accuracy | accuracy_score | heart-statlog | **Author**:
**Source**: Unknown -
**Please cite**:
This database contains 13 attributes (which have been extracted from
a larger set of 75)
Attribute Information:
------------------------
-- 1. age
-- 2. sex
-- 3. chest pain type (4 values)
-... | {0: [0 - age (numeric)],
1: [1 - sex (numeric)],
2: [2 - chest (numeric)],
3: [3 - resting_blood_pressure (numeric)],
4: [4 - serum_cholestoral (numeric)],
5: [5 - fasting_blood_sugar (numeric)],
6: [6 - resting_electrocardiographic_results (numeric)],
7: [7 - maximum_heart_rate_achieved (numeric)],
8: [8 - exe... | {'MajorityClassSize': 150.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 120.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 270.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 1.0,
... | heart-statlog | [
"age",
"sex",
"chest",
"resting_blood_pressure",
"serum_cholestoral",
"fasting_blood_sugar",
"resting_electrocardiographic_results",
"maximum_heart_rate_achieved",
"exercise_induced_angina",
"oldpeak",
"slope",
"number_of_major_vessels",
"thal"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,427 |
1,968 | predictive_accuracy | accuracy_score | credit-g | **Author**: Dr. Hans Hofmann
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)) - 1994
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**German Credit dataset**
This dataset classifies people described by a set of attributes as good or bad credit... | {0: [0 - checking_status (nominal)],
1: [1 - duration (numeric)],
2: [2 - credit_history (nominal)],
3: [3 - purpose (nominal)],
4: [4 - credit_amount (numeric)],
5: [5 - savings_status (nominal)],
6: [6 - employment (nominal)],
7: [7 - installment_commitment (numeric)],
8: [8 - personal_status (nominal)],
9: ... | {'MajorityClassSize': 700.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 300.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 21.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 14.0,... | credit-g | [
"checking_status",
"duration",
"credit_history",
"purpose",
"credit_amount",
"savings_status",
"employment",
"installment_commitment",
"personal_status",
"other_parties",
"residence_since",
"property_magnitude",
"age",
"other_payment_plans",
"housing",
"existing_credits",
"job",
"n... | [
true,
false,
true,
true,
false,
true,
true,
false,
true,
true,
false,
true,
false,
true,
true,
false,
true,
false,
true,
true
] | 1,428 |
1,983 | predictive_accuracy | accuracy_score | tic-tac-toe | **Author**: David W. Aha
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Tic-Tac-Toe+Endgame) - 1991
**Please cite**: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html)
**Tic-Tac-Toe Endgame database**
This database encodes the complete set of possible board configurations at the end of tic-t... | {0: [0 - top-left-square (nominal)],
1: [1 - top-middle-square (nominal)],
2: [2 - top-right-square (nominal)],
3: [3 - middle-left-square (nominal)],
4: [4 - middle-middle-square (nominal)],
5: [5 - middle-right-square (nominal)],
6: [6 - bottom-left-square (nominal)],
7: [7 - bottom-middle-square (nominal)],
... | {'MajorityClassSize': 626.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 332.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 958.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 10.0,
... | tic-tac-toe | [
"top-left-square",
"top-middle-square",
"top-right-square",
"middle-left-square",
"middle-middle-square",
"middle-right-square",
"bottom-left-square",
"bottom-middle-square",
"bottom-right-square"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,429 |
1,970 | predictive_accuracy | accuracy_score | postoperative-patient-data | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Postoperative Patient Data
2. Source Information:
-- Creators: Sharon Summers, School of Nursing, University of Kansas
Medical Center, Kansas City, KS 66160
Linda Woolery, School of Nursing, University of Mis... | {0: [0 - L-CORE (nominal)],
1: [1 - L-SURF (nominal)],
2: [2 - L-O2 (nominal)],
3: [3 - L-BP (nominal)],
4: [4 - SURF-STBL (nominal)],
5: [5 - CORE-STBL (nominal)],
6: [6 - BP-STBL (nominal)],
7: [7 - COMFORT (nominal)],
8: [8 - decision (nominal)]} | {'MajorityClassSize': 64.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 2.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 90.0,
'NumberOfInstancesWithMissingValues': 3.0,
'NumberOfMissingValues': 3.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 9.0,
'cost_... | postoperative-patient-data | [
"L-CORE",
"L-SURF",
"L-O2",
"L-BP",
"SURF-STBL",
"CORE-STBL",
"BP-STBL",
"COMFORT"
] | [
true,
true,
true,
true,
true,
true,
true,
true
] | 1,430 |
1,978 | predictive_accuracy | accuracy_score | haberman | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Haberman's Survival Data
2. Sources:
(a) Donor: Tjen-Sien Lim (limt@stat.wisc.edu)
(b) Date: March 4, 1999
3. Past Usage:
1. Haberman, S. J. (1976). Generalized Residuals for Log-Linear
Models, Proceedings of the 9th In... | {0: [0 - Age_of_patient_at_time_of_operation (numeric)],
1: [1 - Patients_year_of_operation (nominal)],
2: [2 - Number_of_positive_axillary_nodes_detected (numeric)],
3: [3 - Survival_status (nominal)]} | {'MajorityClassSize': 225.0,
'MaxNominalAttDistinctValues': 12.0,
'MinorityClassSize': 81.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 306.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 2.0,
'c... | haberman | [
"Age_of_patient_at_time_of_operation",
"Patients_year_of_operation",
"Number_of_positive_axillary_nodes_detected"
] | [
false,
true,
false
] | 1,432 |
1,972 | predictive_accuracy | accuracy_score | segment | **Author**: University of Massachusetts Vision Group, Carla Brodley
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/image+segmentation) - 1990
**Please cite**: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html)
**Image Segmentation Data Set**
The instances were drawn randomly from a database of 7... | {0: [0 - region-centroid-col (numeric)],
1: [1 - region-centroid-row (numeric)],
2: [2 - region-pixel-count (numeric)],
3: [3 - short-line-density-5 (numeric)],
4: [4 - short-line-density-2 (numeric)],
5: [5 - vedge-mean (numeric)],
6: [6 - vegde-sd (numeric)],
7: [7 - hedge-mean (numeric)],
8: [8 - hedge-sd (n... | {'MajorityClassSize': 330.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 330.0,
'NumberOfClasses': 7.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 2310.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 19.0,
'NumberOfSymbolicFeatures': 1.0,
... | segment | [
"region-centroid-col",
"region-centroid-row",
"region-pixel-count",
"short-line-density-5",
"short-line-density-2",
"vedge-mean",
"vegde-sd",
"hedge-mean",
"hedge-sd",
"intensity-mean",
"rawred-mean",
"rawblue-mean",
"rawgreen-mean",
"exred-mean",
"exblue-mean",
"exgreen-mean",
"valu... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,433 |
1,982 | predictive_accuracy | accuracy_score | heart-c | **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': 165.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 138.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 303.0,
'NumberOfInstancesWithMissingValues': 7.0,
'NumberOfMissingValues': 7.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 8.0,
'... | heart-c | [
"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
] | 1,434 |
1,973 | predictive_accuracy | accuracy_score | diabetes | **Author**: [Vincent Sigillito](vgs@aplcen.apl.jhu.edu)
**Source**: [Obtained from UCI](https://archive.ics.uci.edu/ml/datasets/pima+indians+diabetes)
**Please cite**: [UCI citation policy](https://archive.ics.uci.edu/ml/citation_policy.html)
1. Title: Pima Indians Diabetes Database
2. Sources:
(a) Origi... | {0: [0 - preg (numeric)],
1: [1 - plas (numeric)],
2: [2 - pres (numeric)],
3: [3 - skin (numeric)],
4: [4 - insu (numeric)],
5: [5 - mass (numeric)],
6: [6 - pedi (numeric)],
7: [7 - age (numeric)],
8: [8 - class (nominal)]} | {'MajorityClassSize': 500.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 268.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 768.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 1.0,
'c... | diabetes | [
"preg",
"plas",
"pres",
"skin",
"insu",
"mass",
"pedi",
"age"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 1,435 |
1,945 | predictive_accuracy | accuracy_score | anneal | **Author**: Unknown. Donated by David Sterling and Wray Buntine
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Annealing) - 1990
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
The original Annealing dataset from UCI. The exact meaning of the features and classes is lar... | {0: [0 - family (nominal)],
1: [1 - product-type (nominal)],
2: [2 - steel (nominal)],
3: [3 - carbon (numeric)],
4: [4 - hardness (numeric)],
5: [5 - temper_rolling (nominal)],
6: [6 - condition (nominal)],
7: [7 - formability (nominal)],
8: [8 - strength (numeric)],
9: [9 - non-ageing (nominal)],
10: [10 - ... | {'MajorityClassSize': 684.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 8.0,
'NumberOfClasses': 5.0,
'NumberOfFeatures': 39.0,
'NumberOfInstances': 898.0,
'NumberOfInstancesWithMissingValues': 898.0,
'NumberOfMissingValues': 22175.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 33.... | anneal | [
"family",
"product-type",
"steel",
"carbon",
"hardness",
"temper_rolling",
"condition",
"formability",
"strength",
"non-ageing",
"surface-finish",
"surface-quality",
"enamelability",
"bc",
"bf",
"bt",
"bw%2Fme",
"bl",
"m",
"chrom",
"phos",
"cbond",
"marvi",
"exptl",
"... | [
true,
true,
true,
false,
false,
true,
true,
true,
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
false,
false,
true,
true,
true
] | 1,436 |
1,981 | predictive_accuracy | accuracy_score | tae | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Teaching Assistant Evaluation
2. Sources:
(a) Collector: Wei-Yin Loh (Department of Statistics, UW-Madison)
(b) Donor: Tjen-Sien Lim (limt@stat.wisc.edu)
(b) Date: June 7, 1997
3. Past Usage:
1. Loh, W.-Y. & Shih, Y.-S... | {0: [0 - Whether_of_not_the_TA_is_a_native_English_speaker (nominal)],
1: [1 - Course_instructor (numeric)],
2: [2 - Course (numeric)],
3: [3 - Summer_or_regular_semester (nominal)],
4: [4 - Class_size (numeric)],
5: [5 - Class_attribute (nominal)]} | {'MajorityClassSize': 52.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 49.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 151.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 3.0,
'cos... | tae | [
"Whether_of_not_the_TA_is_a_native_English_speaker",
"Course_instructor",
"Course",
"Summer_or_regular_semester",
"Class_size"
] | [
true,
false,
false,
true,
false
] | 1,437 |
1,991 | predictive_accuracy | accuracy_score | ionosphere | **Author**: Space Physics Group, Applied Physics Laboratory, Johns Hopkins University. Donated by Vince Sigillito.
**Source**: [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/ionosphere)
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Johns Hopkins Universit... | {0: [0 - a01 (numeric)],
1: [1 - a02 (numeric)],
2: [2 - a03 (numeric)],
3: [3 - a04 (numeric)],
4: [4 - a05 (numeric)],
5: [5 - a06 (numeric)],
6: [6 - a07 (numeric)],
7: [7 - a08 (numeric)],
8: [8 - a09 (numeric)],
9: [9 - a10 (numeric)],
10: [10 - a11 (numeric)],
11: [11 - a12 (numeric)],
12: [12 - a13 (... | {'MajorityClassSize': 225.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 126.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 35.0,
'NumberOfInstances': 351.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 34.0,
'NumberOfSymbolicFeatures': 1.0,
... | ionosphere | [
"a01",
"a02",
"a03",
"a04",
"a05",
"a06",
"a07",
"a08",
"a09",
"a10",
"a11",
"a12",
"a13",
"a14",
"a15",
"a16",
"a17",
"a18",
"a19",
"a20",
"a21",
"a22",
"a23",
"a24",
"a25",
"a26",
"a27",
"a28",
"a29",
"a30",
"a31",
"a32",
"a33",
"a34"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,438 |
1,963 | predictive_accuracy | accuracy_score | mfeat-zernike | **Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**Multiple Features Dataset: Zernike**
One of a set of 6 d... | {0: [0 - att1 (numeric)],
1: [1 - att2 (numeric)],
2: [2 - att3 (numeric)],
3: [3 - att4 (numeric)],
4: [4 - att5 (numeric)],
5: [5 - att6 (numeric)],
6: [6 - att7 (numeric)],
7: [7 - att8 (numeric)],
8: [8 - att9 (numeric)],
9: [9 - att10 (numeric)],
10: [10 - att11 (numeric)],
11: [11 - att12 (numeric)],
... | {'MajorityClassSize': 200.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 200.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 48.0,
'NumberOfInstances': 2000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 47.0,
'NumberOfSymbolicFeatures': 1.0... | mfeat-zernike | [
"att1",
"att2",
"att3",
"att4",
"att5",
"att6",
"att7",
"att8",
"att9",
"att10",
"att11",
"att12",
"att13",
"att14",
"att15",
"att16",
"att17",
"att18",
"att19",
"att20",
"att21",
"att22",
"att23",
"att24",
"att25",
"att26",
"att27",
"att28",
"att29",
"att30... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,439 |
1,984 | predictive_accuracy | accuracy_score | heart-h | **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 - chest_pain (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 ... | {'MajorityClassSize': 188.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 106.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 294.0,
'NumberOfInstancesWithMissingValues': 293.0,
'NumberOfMissingValues': 782.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 8.0... | heart-h | [
"age",
"sex",
"chest_pain",
"trestbps",
"chol",
"fbs",
"restecg",
"thalach",
"exang",
"oldpeak",
"slope",
"ca",
"thal"
] | [
false,
true,
true,
false,
false,
true,
true,
false,
true,
false,
true,
false,
true
] | 1,440 |
1,993 | predictive_accuracy | accuracy_score | zoo | **Author**: Richard S. Forsyth
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Zoo) - 5/15/1990
**Please cite**:
**Zoo database**
A simple database containing 17 Boolean-valued attributes describing animals. The "type" attribute appears to be the class attribute.
Notes:
* I find it unusual tha... | {0: [0 - animal (nominal)],
1: [1 - hair (nominal)],
2: [2 - feathers (nominal)],
3: [3 - eggs (nominal)],
4: [4 - milk (nominal)],
5: [5 - airborne (nominal)],
6: [6 - aquatic (nominal)],
7: [7 - predator (nominal)],
8: [8 - toothed (nominal)],
9: [9 - backbone (nominal)],
10: [10 - breathes (nominal)],
11:... | {'MajorityClassSize': 41.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 4.0,
'NumberOfClasses': 7.0,
'NumberOfFeatures': 17.0,
'NumberOfInstances': 101.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 16.0,
'co... | zoo | [
"hair",
"feathers",
"eggs",
"milk",
"airborne",
"aquatic",
"predator",
"toothed",
"backbone",
"breathes",
"venomous",
"fins",
"legs",
"tail",
"domestic",
"catsize"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
true,
true,
true
] | 1,441 |
1,989 | predictive_accuracy | accuracy_score | vote | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: 1984 United States Congressional Voting Records Database
2. Source Information:
(a) Source: Congressional Quarterly Almanac, 98th Congress,
2nd session 1984, Volume XL: Congressional Quarterly Inc.
Wash... | {0: [0 - handicapped-infants (nominal)],
1: [1 - water-project-cost-sharing (nominal)],
2: [2 - adoption-of-the-budget-resolution (nominal)],
3: [3 - physician-fee-freeze (nominal)],
4: [4 - el-salvador-aid (nominal)],
5: [5 - religious-groups-in-schools (nominal)],
6: [6 - anti-satellite-test-ban (nominal)],
7:... | {'MajorityClassSize': 267.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 168.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 17.0,
'NumberOfInstances': 435.0,
'NumberOfInstancesWithMissingValues': 203.0,
'NumberOfMissingValues': 392.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 17.... | vote | [
"handicapped-infants",
"water-project-cost-sharing",
"adoption-of-the-budget-resolution",
"physician-fee-freeze",
"el-salvador-aid",
"religious-groups-in-schools",
"anti-satellite-test-ban",
"aid-to-nicaraguan-contras",
"mx-missile",
"immigration",
"synfuels-corporation-cutback",
"education-sp... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,442 |
1,938 | predictive_accuracy | accuracy_score | waveform-5000 | **Author**: Breiman,L., Friedman,J.H., Olshen,R.A., & Stone,C.J.
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/waveform+database+generator+(version+2)) - 1988
**Please cite**: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html)
**Waveform Database Generator**
Generator generating 3 classes o... | {0: [0 - x1 (numeric)],
1: [1 - x2 (numeric)],
2: [2 - x3 (numeric)],
3: [3 - x4 (numeric)],
4: [4 - x5 (numeric)],
5: [5 - x6 (numeric)],
6: [6 - x7 (numeric)],
7: [7 - x8 (numeric)],
8: [8 - x9 (numeric)],
9: [9 - x10 (numeric)],
10: [10 - x11 (numeric)],
11: [11 - x12 (numeric)],
12: [12 - x13 (numeric)]... | {'MajorityClassSize': 1692.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 1653.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 41.0,
'NumberOfInstances': 5000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 40.0,
'NumberOfSymbolicFeatures': 1.0... | waveform-5000 | [
"x1",
"x2",
"x3",
"x4",
"x5",
"x6",
"x7",
"x8",
"x9",
"x10",
"x11",
"x12",
"x13",
"x14",
"x15",
"x16",
"x17",
"x18",
"x19",
"x20",
"x21",
"x22",
"x23",
"x24",
"x25",
"x26",
"x27",
"x28",
"x29",
"x30",
"x31",
"x32",
"x33",
"x34",
"x35",
"x36",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,443 |
1,992 | predictive_accuracy | accuracy_score | iris | **Author**: R.A. Fisher
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Iris) - 1936 - Donated by Michael Marshall
**Please cite**:
**Iris Plants Database**
This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is ref... | {0: [0 - sepallength (numeric)],
1: [1 - sepalwidth (numeric)],
2: [2 - petallength (numeric)],
3: [3 - petalwidth (numeric)],
4: [4 - class (nominal)]} | {'MajorityClassSize': 50.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 50.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 150.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | iris | [
"sepallength",
"sepalwidth",
"petallength",
"petalwidth"
] | [
false,
false,
false,
false
] | 1,444 |
1,908 | predictive_accuracy | accuracy_score | optdigits | **Author**: E. Alpaydin, C. Kaynak
**Source**: [UCI](http://archive.ics.uci.edu/ml/datasets/optical+recognition+of+handwritten+digits)
**Please cite**: [UCI citation policy](https://archive.ics.uci.edu/ml/citation_policy.html)
1. Title of Database: Optical Recognition of Handwritten Digits
2. Source:
E. Alp... | {0: [0 - input1 (numeric)],
1: [1 - input2 (numeric)],
2: [2 - input3 (numeric)],
3: [3 - input4 (numeric)],
4: [4 - input5 (numeric)],
5: [5 - input6 (numeric)],
6: [6 - input7 (numeric)],
7: [7 - input8 (numeric)],
8: [8 - input9 (numeric)],
9: [9 - input10 (numeric)],
10: [10 - input11 (numeric)],
11: [11... | {'MajorityClassSize': 572.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 554.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 65.0,
'NumberOfInstances': 5620.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 64.0,
'NumberOfSymbolicFeatures': 1.0... | optdigits | [
"input1",
"input2",
"input3",
"input4",
"input5",
"input6",
"input7",
"input8",
"input9",
"input10",
"input11",
"input12",
"input13",
"input14",
"input15",
"input16",
"input17",
"input18",
"input19",
"input20",
"input21",
"input22",
"input23",
"input24",
"input25",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,445 |
1,988 | predictive_accuracy | accuracy_score | hepatitis | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Hepatitis Domain
2. Sources:
(a) unknown
(b) Donor: G.Gong (Carnegie-Mellon University) via
Bojan Cestnik
Jozef Stefan Institute
Jamova 39
61000 Ljublja... | {0: [0 - AGE (numeric)],
1: [1 - SEX (nominal)],
2: [2 - STEROID (nominal)],
3: [3 - ANTIVIRALS (nominal)],
4: [4 - FATIGUE (nominal)],
5: [5 - MALAISE (nominal)],
6: [6 - ANOREXIA (nominal)],
7: [7 - LIVER_BIG (nominal)],
8: [8 - LIVER_FIRM (nominal)],
9: [9 - SPLEEN_PALPABLE (nominal)],
10: [10 - SPIDERS (n... | {'MajorityClassSize': 123.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 32.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 155.0,
'NumberOfInstancesWithMissingValues': 75.0,
'NumberOfMissingValues': 167.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 14.0,... | hepatitis | [
"AGE",
"SEX",
"STEROID",
"ANTIVIRALS",
"FATIGUE",
"MALAISE",
"ANOREXIA",
"LIVER_BIG",
"LIVER_FIRM",
"SPLEEN_PALPABLE",
"SPIDERS",
"ASCITES",
"VARICES",
"BILIRUBIN",
"ALK_PHOSPHATE",
"SGOT",
"ALBUMIN",
"PROTIME",
"HISTOLOGY"
] | [
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
true
] | 1,446 |
2,112 | predictive_accuracy | accuracy_score | shuttle-landing-control | # Space Shuttle Autolanding Domain
NASA: Mr. Roger Burke's autolander design team
##### Past Usage: (several, it appears)
Example: Michie,D. (1988). The Fifth Generation's Unbridged Gap.
In Rolf Herken (Ed.) The Universal Turing Machine: A
Half-Century Survey, 466-489, Oxford Uni... | {0: [0 - Class (nominal)],
1: [1 - STABILITY (nominal)],
2: [2 - ERROR (nominal)],
3: [3 - SIGN (nominal)],
4: [4 - WIND (nominal)],
5: [5 - MAGNITUDE (nominal)],
6: [6 - VISIBILITY (nominal)]} | {'MajorityClassSize': 9.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 6.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 15.0,
'NumberOfInstancesWithMissingValues': 9.0,
'NumberOfMissingValues': 26.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 7.0,
'cost_... | shuttle-landing-control | [
"Class",
"STABILITY",
"ERROR",
"SIGN",
"WIND",
"MAGNITUDE"
] | [
true,
true,
true,
true,
true,
true
] | 1,447 |
1,923 | predictive_accuracy | accuracy_score | spambase | **Author**: Mark Hopkins, Erik Reeber, George Forman, Jaap Suermondt
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/spambase)
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
SPAM E-mail Database
The "spam" concept is diverse: advertisements for products/websites, make mo... | {0: [0 - word_freq_make (numeric)],
1: [1 - word_freq_address (numeric)],
2: [2 - word_freq_all (numeric)],
3: [3 - word_freq_3d (numeric)],
4: [4 - word_freq_our (numeric)],
5: [5 - word_freq_over (numeric)],
6: [6 - word_freq_remove (numeric)],
7: [7 - word_freq_internet (numeric)],
8: [8 - word_freq_order (n... | {'MajorityClassSize': 2788.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 1813.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 58.0,
'NumberOfInstances': 4601.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 57.0,
'NumberOfSymbolicFeatures': 1.0... | spambase | [
"word_freq_make",
"word_freq_address",
"word_freq_all",
"word_freq_3d",
"word_freq_our",
"word_freq_over",
"word_freq_remove",
"word_freq_internet",
"word_freq_order",
"word_freq_mail",
"word_freq_receive",
"word_freq_will",
"word_freq_people",
"word_freq_report",
"word_freq_addresses",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 1,449 |
2,065 | predictive_accuracy | accuracy_score | primary-tumor | **Author**:
**Source**: Unknown -
**Please cite**:
Citation Request:
This primary tumor domain was obtained from the University Medical Centre,
Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and
M. Soklic for providing the data. Please include this citation if you plan
... | {0: [0 - age (nominal)],
1: [1 - sex (nominal)],
2: [2 - histologic-type (nominal)],
3: [3 - degree-of-diffe (nominal)],
4: [4 - bone (nominal)],
5: [5 - bone-marrow (nominal)],
6: [6 - lung (nominal)],
7: [7 - pleura (nominal)],
8: [8 - peritoneum (nominal)],
9: [9 - liver (nominal)],
10: [10 - brain (nomina... | {'MajorityClassSize': 84.0,
'MaxNominalAttDistinctValues': 21.0,
'MinorityClassSize': 1.0,
'NumberOfClasses': 21.0,
'NumberOfFeatures': 18.0,
'NumberOfInstances': 339.0,
'NumberOfInstancesWithMissingValues': 207.0,
'NumberOfMissingValues': 225.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 18.0... | primary-tumor | [
"age",
"sex",
"histologic-type",
"degree-of-diffe",
"bone",
"bone-marrow",
"lung",
"pleura",
"peritoneum",
"liver",
"brain",
"skin",
"neck",
"supraclavicular",
"axillar",
"mediastinum",
"abdominal"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,450 |
2,078 | predictive_accuracy | accuracy_score | braziltourism | **Author**:
**Source**: Unknown -
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data s... | {0: [0 - Age (numeric)],
1: [1 - Sex (nominal)],
2: [2 - Income (numeric)],
3: [3 - Travel_cost (numeric)],
4: [4 - Access_road (nominal)],
5: [5 - Active (nominal)],
6: [6 - Passive (nominal)],
7: [7 - Logged_income (numeric)],
8: [8 - Trips (nominal)]} | {'MajorityClassSize': 318.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 1.0,
'NumberOfClasses': 7.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 412.0,
'NumberOfInstancesWithMissingValues': 49.0,
'NumberOfMissingValues': 96.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 5.0,
'c... | braziltourism | [
"Age",
"Sex",
"Income",
"Travel_cost",
"Access_road",
"Active",
"Passive",
"Logged_income"
] | [
false,
true,
false,
false,
true,
true,
true,
false
] | 1,451 |
1,987 | predictive_accuracy | accuracy_score | vehicle | **Author**: Dr. Pete Mowforth and Dr. Barry Shepherd
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Statlog+(Vehicle+Silhouettes))
**Please cite**: Siebert,JP. Turing Institute Research Memorandum TIRM-87-018 "Vehicle Recognition Using Rule Based Methods" (March 1987)
NAME
vehicle silhouettes
... | {0: [0 - COMPACTNESS (numeric)],
1: [1 - CIRCULARITY (numeric)],
2: [2 - DISTANCE_CIRCULARITY (numeric)],
3: [3 - RADIUS_RATIO (numeric)],
4: [4 - PR.AXIS_ASPECT_RATIO (numeric)],
5: [5 - MAX.LENGTH_ASPECT_RATIO (numeric)],
6: [6 - SCATTER_RATIO (numeric)],
7: [7 - ELONGATEDNESS (numeric)],
8: [8 - PR.AXIS_RECT... | {'MajorityClassSize': 218.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 199.0,
'NumberOfClasses': 4.0,
'NumberOfFeatures': 19.0,
'NumberOfInstances': 846.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 18.0,
'NumberOfSymbolicFeatures': 1.0,
... | vehicle | [
"COMPACTNESS",
"CIRCULARITY",
"DISTANCE_CIRCULARITY",
"RADIUS_RATIO",
"PR.AXIS_ASPECT_RATIO",
"MAX.LENGTH_ASPECT_RATIO",
"SCATTER_RATIO",
"ELONGATEDNESS",
"PR.AXIS_RECTANGULARITY",
"MAX.LENGTH_RECTANGULARITY",
"SCALED_VARIANCE_MAJOR",
"SCALED_VARIANCE_MINOR",
"SCALED_RADIUS_OF_GYRATION",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 1,452 |
2,104 | predictive_accuracy | accuracy_score | molecular-biology_promoters | **Author**: C. Harley, R. Reynolds, M. Noordewier, J. Shavlik.
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Molecular+Biology+(Promoter+Gene+Sequences)) - 1990
**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)
**E. coli promoter gene sequences (DNA)**
Compilation of promo... | {0: [0 - class (nominal)],
1: [1 - instance (nominal)],
2: [2 - p-50 (nominal)],
3: [3 - p-49 (nominal)],
4: [4 - p-48 (nominal)],
5: [5 - p-47 (nominal)],
6: [6 - p-46 (nominal)],
7: [7 - p-45 (nominal)],
8: [8 - p-44 (nominal)],
9: [9 - p-43 (nominal)],
10: [10 - p-42 (nominal)],
11: [11 - p-41 (nominal)],... | {'MajorityClassSize': 53.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 53.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 58.0,
'NumberOfInstances': 106.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 58.0,
'c... | molecular-biology_promoters | [
"class",
"p-50",
"p-49",
"p-48",
"p-47",
"p-46",
"p-45",
"p-44",
"p-43",
"p-42",
"p-41",
"p-40",
"p-39",
"p-38",
"p-37",
"p-36",
"p-35",
"p-34",
"p-33",
"p-32",
"p-31",
"p-30",
"p-29",
"p-28",
"p-27",
"p-26",
"p-25",
"p-24",
"p-23",
"p-22",
"p-21",
"p-20... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true... | 1,453 |
1,977 | predictive_accuracy | accuracy_score | soybean | **Author**: R.S. Michalski and R.L. Chilausky (Donors: Ming Tan & Jeff Schlimmer)
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Soybean+(Large)) - 1988
**Please cite**: R.S. Michalski and R.L. Chilausky "Learning by Being Told and Learning from Examples: An Experimental Comparison of the Two Methods of ... | {0: [0 - date (nominal)],
1: [1 - plant-stand (nominal)],
2: [2 - precip (nominal)],
3: [3 - temp (nominal)],
4: [4 - hail (nominal)],
5: [5 - crop-hist (nominal)],
6: [6 - area-damaged (nominal)],
7: [7 - severity (nominal)],
8: [8 - seed-tmt (nominal)],
9: [9 - germination (nominal)],
10: [10 - plant-growth... | {'MajorityClassSize': 92.0,
'MaxNominalAttDistinctValues': 19.0,
'MinorityClassSize': 8.0,
'NumberOfClasses': 19.0,
'NumberOfFeatures': 36.0,
'NumberOfInstances': 683.0,
'NumberOfInstancesWithMissingValues': 121.0,
'NumberOfMissingValues': 2337.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 36.... | soybean | [
"date",
"plant-stand",
"precip",
"temp",
"hail",
"crop-hist",
"area-damaged",
"severity",
"seed-tmt",
"germination",
"plant-growth",
"leaves",
"leafspots-halo",
"leafspots-marg",
"leafspot-size",
"leaf-shread",
"leaf-malf",
"leaf-mild",
"stem",
"lodging",
"stem-cankers",
"c... | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,454 |
2,111 | predictive_accuracy | accuracy_score | primary-tumor | **Author**:
**Source**: Unknown -
**Please cite**:
Citation Request:
This primary tumor domain was obtained from the University Medical Centre,
Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and
M. Soklic for providing the data. Please include this citation if you plan
... | {0: [0 - age (nominal)],
1: [1 - sex (nominal)],
2: [2 - histologic-type (nominal)],
3: [3 - degree-of-diffe (nominal)],
4: [4 - bone (nominal)],
5: [5 - bone-marrow (nominal)],
6: [6 - lung (nominal)],
7: [7 - pleura (nominal)],
8: [8 - peritoneum (nominal)],
9: [9 - liver (nominal)],
10: [10 - brain (nomina... | {'MajorityClassSize': 84.0,
'MaxNominalAttDistinctValues': 21.0,
'MinorityClassSize': 1.0,
'NumberOfClasses': 21.0,
'NumberOfFeatures': 18.0,
'NumberOfInstances': 339.0,
'NumberOfInstancesWithMissingValues': 207.0,
'NumberOfMissingValues': 225.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 18.0... | primary-tumor | [
"age",
"sex",
"histologic-type",
"degree-of-diffe",
"bone",
"bone-marrow",
"lung",
"pleura",
"peritoneum",
"liver",
"brain",
"skin",
"neck",
"supraclavicular",
"axillar",
"mediastinum",
"abdominal"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 1,455 |
2,073 | predictive_accuracy | accuracy_score | yeast | **Author**:
**Source**: Unknown -
**Please cite**: | {0: [0 - mcg (numeric)],
1: [1 - gvh (numeric)],
2: [2 - alm (numeric)],
3: [3 - mit (numeric)],
4: [4 - erl (numeric)],
5: [5 - pox (numeric)],
6: [6 - vac (numeric)],
7: [7 - nuc (numeric)],
8: [8 - class_protein_localization (nominal)]} | {'MajorityClassSize': 463.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 5.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 1484.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 1.0,
'... | yeast | [
"mcg",
"gvh",
"alm",
"mit",
"erl",
"pox",
"vac",
"nuc"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 1,456 |
2,077 | predictive_accuracy | accuracy_score | baseball | Database of baseball players and play statistics, including 'Games_played', 'At_bats', 'Runs', 'Hits', 'Doubles', 'Triples', 'Home_runs', 'RBIs', 'Walks', 'Strikeouts', 'Batting_average', 'On_base_pct', 'Slugging_pct' and 'Fielding_ave'
Notes:
* Quotes, Single-Quotes and Backslashes were removed, Blanks replaced wi... | {0: [0 - Player (nominal)],
1: [1 - Number_seasons (numeric)],
2: [2 - Games_played (numeric)],
3: [3 - At_bats (numeric)],
4: [4 - Runs (numeric)],
5: [5 - Hits (numeric)],
6: [6 - Doubles (numeric)],
7: [7 - Triples (numeric)],
8: [8 - Home_runs (numeric)],
9: [9 - RBIs (numeric)],
10: [10 - Walks (numeric)... | {'MajorityClassSize': 1215.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 57.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 17.0,
'NumberOfInstances': 1340.0,
'NumberOfInstancesWithMissingValues': 20.0,
'NumberOfMissingValues': 20.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 2.0... | baseball | [
"Number_seasons",
"Games_played",
"At_bats",
"Runs",
"Hits",
"Doubles",
"Triples",
"Home_runs",
"RBIs",
"Walks",
"Strikeouts",
"Batting_average",
"On_base_pct",
"Slugging_pct",
"Fielding_ave",
"Position"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
true
] | 1,457 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.