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 |
|---|---|---|---|---|---|---|---|---|---|---|
2,997 | predictive_accuracy | accuracy_score | autoHorse | **Author**:
**Source**: Unknown -
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Horsepower treated as the class attribute.
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
using instance-based learning with encoding length selection. I... | {0: [0 - symboling (numeric)],
1: [1 - normalized-losses (numeric)],
2: [2 - make (nominal)],
3: [3 - fuel-type (nominal)],
4: [4 - aspiration (nominal)],
5: [5 - num-of-doors (numeric)],
6: [6 - body-style (nominal)],
7: [7 - drive-wheels (nominal)],
8: [8 - engine-location (nominal)],
9: [9 - wheel-base (num... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 22.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 205.0,
'NumberOfInstancesWithMissingValues': 46.0,
'NumberOfMissingValues': 59.0,
'NumberOfNumericFeatures': 18.0,
'NumberOfSymbolicFeatures': 8.0,
'... | autoHorse | [
"symboling",
"normalized-losses",
"make",
"fuel-type",
"aspiration",
"num-of-doors",
"body-style",
"drive-wheels",
"engine-location",
"wheel-base",
"length",
"width",
"height",
"curb-weight",
"engine-type",
"num-of-cylinders",
"engine-size",
"fuel-system",
"bore",
"stroke",
"... | [
false,
false,
true,
true,
true,
false,
true,
true,
true,
false,
false,
false,
false,
false,
true,
false,
false,
true,
false,
false,
false,
false,
false,
false,
false
] | 102 |
2,314 | mean_absolute_error | mean_absolute_error | gascons | **Author**:
**Source**: Unknown -
**Please cite**:
Dataset from Smoothing Methods in Statistics
(ftp stat.cmu.edu/datasets)
Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag.
Gasoline comnsumption is being treated as the class
attribute. | {0: [0 - year (numeric)],
1: [1 - price_index_for_casoline (numeric)],
2: [2 - disposable_income (numeric)],
3: [3 - price_index_for_used_cars (numeric)],
4: [4 - gasoline_consumption (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 27.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | gascons | [
"year",
"price_index_for_casoline",
"disposable_income",
"price_index_for_used_cars"
] | [
false,
false,
false,
false
] | 103 |
2,304 | mean_absolute_error | mean_absolute_error | pharynx | **Author**:
**Source**: Unknown -
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Case number deleted.
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
using instance-based learning with encoding length selection. In Progress
in Connec... | {0: [0 - Inst (nominal)],
1: [1 - sex (nominal)],
2: [2 - Treatment (nominal)],
3: [3 - Grade (nominal)],
4: [4 - Age (numeric)],
5: [5 - Condition (nominal)],
6: [6 - Site (nominal)],
7: [7 - T (nominal)],
8: [8 - N (nominal)],
9: [9 - Entry (nominal)],
10: [10 - Status (nominal)],
11: [11 - class (numeric)... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 184.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 195.0,
'NumberOfInstancesWithMissingValues': 2.0,
'NumberOfMissingValues': 2.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 9.0,
'co... | pharynx | [
"Inst",
"sex",
"Treatment",
"Grade",
"Age",
"Condition",
"Site",
"T",
"N",
"Status"
] | [
true,
true,
true,
true,
false,
true,
true,
true,
true,
true
] | 104 |
4,758 | mean_absolute_error | mean_absolute_error | tr12.wc | null | {0: [0 - saga (numeric)],
1: [1 - stumble (numeric)],
2: [2 - abu (numeric)],
3: [3 - membership (numeric)],
4: [4 - rc (numeric)],
5: [5 - cherish (numeric)],
6: [6 - airwai (numeric)],
7: [7 - concur (numeric)],
8: [8 - ravag (numeric)],
9: [9 - perestroyka (numeric)],
10: [10 - rf (numeric)],
11: [11 - 0 ... | {'MajorityClassSize': 93.0,
'MaxNominalAttDistinctValues': 8.0,
'MinorityClassSize': 9.0,
'NumberOfClasses': 8.0,
'NumberOfFeatures': 5805.0,
'NumberOfInstances': 313.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5804.0,
'NumberOfSymbolicFeatures': 1.0,
... | tr12.wc | [
"saga",
"stumble",
"abu",
"membership",
"rc",
"cherish",
"airwai",
"concur",
"ravag",
"perestroyka",
"rf",
"0",
"environ",
"purchas",
"loss",
"lost",
"manag",
"particip",
"southeast",
"product",
"dinner",
"anglo",
"aqueou",
"deton",
"conspiraci",
"ethic",
"criteri... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 105 |
4,726 | mean_absolute_error | mean_absolute_error | oh10.wc | null | {0: [0 - sudden (numeric)],
1: [1 - gland (numeric)],
2: [2 - signific (numeric)],
3: [3 - penetr (numeric)],
4: [4 - hepat (numeric)],
5: [5 - fusion (numeric)],
6: [6 - agenc (numeric)],
7: [7 - rest (numeric)],
8: [8 - seropreval (numeric)],
9: [9 - nucleotid (numeric)],
10: [10 - echocardiographi (numeric... | {'MajorityClassSize': 165.0,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': 52.0,
'NumberOfClasses': 10.0,
'NumberOfFeatures': 3239.0,
'NumberOfInstances': 1050.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3238.0,
'NumberOfSymbolicFeatures': ... | oh10.wc | [
"sudden",
"gland",
"signific",
"penetr",
"hepat",
"fusion",
"agenc",
"rest",
"seropreval",
"nucleotid",
"echocardiographi",
"decision",
"agent",
"0",
"placem",
"environ",
"obstetr",
"vagin",
"overview",
"cytokin",
"reconstitut",
"discharg",
"f",
"ileal",
"g",
"clind... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 106 |
4,802 | mean_absolute_error | mean_absolute_error | qsprcmpx | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 40.0,
'NumberOfInstances': 22.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 40.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsprcmpx | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 107 |
4,718 | mean_absolute_error | mean_absolute_error | la2s.wc | null | {0: [0 - aa (numeric)],
1: [1 - aaa (numeric)],
2: [2 - aaron (numeric)],
3: [3 - aase (numeric)],
4: [4 - ab (numeric)],
5: [5 - abandon (numeric)],
6: [6 - abat (numeric)],
7: [7 - abbe (numeric)],
8: [8 - abc (numeric)],
9: [9 - abdi (numeric)],
10: [10 - abdomen (numeric)],
11: [11 - abdomin (numeric)],
... | {'MajorityClassSize': 905.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 248.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 12433.0,
'NumberOfInstances': 3075.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 12432.0,
'NumberOfSymbolicFeatures':... | la2s.wc | [
"aa",
"aaa",
"aaron",
"aase",
"ab",
"abandon",
"abat",
"abbe",
"abc",
"abdi",
"abdomen",
"abdomin",
"abduct",
"abdul",
"abe",
"abet",
"abhorr",
"abid",
"abil",
"able",
"abnorm",
"aboard",
"abolish",
"abolit",
"abort",
"abound",
"abraham",
"abram",
"abroad",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 108 |
2,287 | mean_absolute_error | mean_absolute_error | autoMpg | **Author**:
**Source**: Unknown -
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Identifier attribute deleted.
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
using instance-based learning with encoding length selection. In Progress
i... | {0: [0 - cylinders (nominal)],
1: [1 - displacement (numeric)],
2: [2 - horsepower (numeric)],
3: [3 - weight (numeric)],
4: [4 - acceleration (numeric)],
5: [5 - model (nominal)],
6: [6 - origin (nominal)],
7: [7 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 13.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 398.0,
'NumberOfInstancesWithMissingValues': 6.0,
'NumberOfMissingValues': 6.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 3.0,
'cost... | autoMpg | [
"cylinders",
"displacement",
"horsepower",
"weight",
"acceleration",
"model",
"origin"
] | [
true,
false,
false,
false,
false,
true,
true
] | 109 |
4,741 | mean_absolute_error | mean_absolute_error | machine_cpu | **Author**:
**Source**: Unknown -
**Please cite**:
The problem concerns Relative CPU Performance Data. More information can be obtained in the UCI Machine
Learning repository (http://www.ics.uci.edu/~mlearn/MLSummary.html).
The used attributes are :
MYCT: machine cycle time in nanoseconds (integer)
MMIN: ... | {0: [0 - MYCT (numeric)],
1: [1 - MMIN (numeric)],
2: [2 - MMAX (numeric)],
3: [3 - CACH (numeric)],
4: [4 - CHMIN (numeric)],
5: [5 - CHMAX (numeric)],
6: [6 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 209.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | machine_cpu | [
"MYCT",
"MMIN",
"MMAX",
"CACH",
"CHMIN",
"CHMAX"
] | [
false,
false,
false,
false,
false,
false
] | 110 |
2,294 | mean_absolute_error | mean_absolute_error | lowbwt | **Author**:
**Source**: Unknown -
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Identification code deleted.
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
using instance-based learning with encoding length selection. In Progress
i... | {0: [0 - LOW (nominal)],
1: [1 - AGE (numeric)],
2: [2 - LWT (numeric)],
3: [3 - RACE (nominal)],
4: [4 - SMOKE (nominal)],
5: [5 - PTL (nominal)],
6: [6 - HT (nominal)],
7: [7 - UI (nominal)],
8: [8 - FTV (nominal)],
9: [9 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 189.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 7.0,
'cost... | lowbwt | [
"LOW",
"AGE",
"LWT",
"RACE",
"SMOKE",
"PTL",
"HT",
"UI",
"FTV"
] | [
true,
false,
false,
true,
true,
true,
true,
true,
true
] | 111 |
4,764 | mean_absolute_error | mean_absolute_error | cpu | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Attributes 2 and 8 deleted.
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
using instance-based learning with encoding length selection. In Prog... | {0: [0 - vendor (nominal)],
1: [1 - MYCT (numeric)],
2: [2 - MMIN (numeric)],
3: [3 - MMAX (numeric)],
4: [4 - CACH (numeric)],
5: [5 - CHMIN (numeric)],
6: [6 - CHMAX (numeric)],
7: [7 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 30.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 209.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | cpu | [
"vendor",
"MYCT",
"MMIN",
"MMAX",
"CACH",
"CHMIN",
"CHMAX"
] | [
true,
false,
false,
false,
false,
false,
false
] | 112 |
4,766 | mean_absolute_error | mean_absolute_error | auto93 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Attributes 2,4, and 6 deleted. Midrange price treated as the class
attribute.
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
using instance-base... | {0: [0 - Manufacturer (nominal)],
1: [1 - Type (nominal)],
2: [2 - City_MPG (numeric)],
3: [3 - Highway_MPG (numeric)],
4: [4 - Air_Bags_standard (nominal)],
5: [5 - Drive_train_type (nominal)],
6: [6 - Number_of_cylinders (numeric)],
7: [7 - Engine_size (numeric)],
8: [8 - Horsepower (numeric)],
9: [9 - RPM (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 31.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 23.0,
'NumberOfInstances': 93.0,
'NumberOfInstancesWithMissingValues': 11.0,
'NumberOfMissingValues': 14.0,
'NumberOfNumericFeatures': 17.0,
'NumberOfSymbolicFeatures': 6.0,
'c... | auto93 | [
"Manufacturer",
"Type",
"City_MPG",
"Highway_MPG",
"Air_Bags_standard",
"Drive_train_type",
"Number_of_cylinders",
"Engine_size",
"Horsepower",
"RPM",
"Engine_revolutions_per_mile",
"Manual_transmission_available",
"Fuel_tank_capacity",
"Passenger_capacity",
"Length",
"Wheelbase",
"W... | [
true,
true,
false,
false,
true,
true,
false,
false,
false,
false,
false,
true,
false,
false,
false,
false,
false,
false,
false,
false,
false,
true
] | 113 |
2,303 | mean_absolute_error | mean_absolute_error | diabetes_numeric | **Author**:
**Source**: Unknown -
**Please cite**:
This data set concerns the study of the factors affecting patterns of
insulin-dependent diabetes mellitus in children. The objective is to
investigate the dependence of the level of serum C-peptide on the
various other factors in order to understand the p... | {0: [0 - age (numeric)],
1: [1 - deficit (numeric)],
2: [2 - c_peptide (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 43.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | diabetes_numeric | [
"age",
"deficit"
] | [
false,
false
] | 114 |
2,995 | predictive_accuracy | accuracy_score | fruitfly | **Author**:
**Source**: Unknown -
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Identifier attribute deleted.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
NAME: Sexual activity and the lifespan of male fruitflies
TYPE: Designed (almost factorial) experiment
SIZE: 125 observations, 5 variables
DESCRI... | {0: [0 - PARTNERS (nominal)],
1: [1 - TYPE (nominal)],
2: [2 - THORAX (numeric)],
3: [3 - SLEEP (numeric)],
4: [4 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 125.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_... | fruitfly | [
"PARTNERS",
"TYPE",
"THORAX",
"SLEEP"
] | [
true,
true,
false,
false
] | 115 |
4,807 | mean_absolute_error | mean_absolute_error | qsartox | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 24.0,
'NumberOfInstances': 16.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 24.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsartox | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 116 |
4,711 | mean_absolute_error | mean_absolute_error | tr21.wc | null | {0: [0 - noteworthi (numeric)],
1: [1 - parad (numeric)],
2: [2 - naval (numeric)],
3: [3 - ward (numeric)],
4: [4 - dock (numeric)],
5: [5 - logist (numeric)],
6: [6 - tonnag (numeric)],
7: [7 - maine (numeric)],
8: [8 - ap (numeric)],
9: [9 - sallie (numeric)],
10: [10 - franci (numeric)],
11: [11 - libert... | {'MajorityClassSize': 231.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 4.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 7903.0,
'NumberOfInstances': 336.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7902.0,
'NumberOfSymbolicFeatures': 1.0,... | tr21.wc | [
"noteworthi",
"parad",
"naval",
"ward",
"dock",
"logist",
"tonnag",
"maine",
"ap",
"sallie",
"franci",
"libertarian",
"pip",
"russell",
"sanford",
"approp",
"ind",
"shipboard",
"sunset",
"servant",
"depart",
"logansport",
"number",
"english",
"maritim",
"signific",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 117 |
4,731 | mean_absolute_error | mean_absolute_error | autoMpg | **Author**:
**Source**: Unknown -
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Identifier attribute deleted.
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
using instance-based learning with encoding length selection. In Progress
i... | {0: [0 - cylinders (nominal)],
1: [1 - displacement (numeric)],
2: [2 - horsepower (numeric)],
3: [3 - weight (numeric)],
4: [4 - acceleration (numeric)],
5: [5 - model (nominal)],
6: [6 - origin (nominal)],
7: [7 - class (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 13.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 398.0,
'NumberOfInstancesWithMissingValues': 6.0,
'NumberOfMissingValues': 6.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 3.0,
'cost... | autoMpg | [
"cylinders",
"displacement",
"horsepower",
"weight",
"acceleration",
"model",
"origin"
] | [
true,
false,
false,
false,
false,
true,
true
] | 118 |
4,816 | mean_absolute_error | mean_absolute_error | qsbr_rw1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 14.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 51.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsbr_rw1 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 119 |
4,785 | mean_absolute_error | mean_absolute_error | garrat2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 14.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | garrat2 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 120 |
4,819 | mean_absolute_error | mean_absolute_error | iq_brain_size | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Relationship between IQ and Brain Size
Summary:
Monozygotic twins share numerous physical, psychological, and pathological traits. Recent advances in in vivo brain image acquisition and analysis have made it possible to determine quantitatively ... | {0: [0 - CCMIDSA (numeric)],
1: [1 - FIQ (numeric)],
2: [2 - HC (numeric)],
3: [3 - ORDER (nominal)],
4: [4 - PAIR (nominal)],
5: [5 - SEX (nominal)],
6: [6 - TOTSA (numeric)],
7: [7 - TOTVOL (numeric)],
8: [8 - WEIGHT (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 20.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 3.0,
'cost_... | iq_brain_size | [
"CCMIDSA",
"HC",
"ORDER",
"PAIR",
"SEX",
"TOTSA",
"TOTVOL",
"WEIGHT"
] | [
false,
false,
true,
true,
true,
false,
false,
false
] | 121 |
4,817 | mean_absolute_error | mean_absolute_error | analcatdata_birthday | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Month (nominal)],
1: [1 - Day (nominal)],
2: [2 - Births (numeric)],
3: [3 - Day_of_week (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 31.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 365.0,
'NumberOfInstancesWithMissingValues': 30.0,
'NumberOfMissingValues': 30.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | analcatdata_birthday | [
"Month",
"Day",
"Day_of_week"
] | [
true,
true,
true
] | 122 |
4,834 | mean_absolute_error | mean_absolute_error | analcatdata_gsssexsurvey | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Married (nominal)],
1: [1 - Age (numeric)],
2: [2 - Years_of_education (numeric)],
3: [3 - Male (nominal)],
4: [4 - Religious (nominal)],
5: [5 - Sex_partners (numeric)],
6: [6 - Income (numeric)],
7: [7 - Drug_use (nominal)],
8: [8 - Same_sex_relations (nominal)],
9: [9 - AIDS_know (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 159.0,
'NumberOfInstancesWithMissingValues': 6.0,
'NumberOfMissingValues': 6.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 5.0,
'cost... | analcatdata_gsssexsurvey | [
"Married",
"Age",
"Years_of_education",
"Male",
"Religious",
"Sex_partners",
"Income",
"Drug_use",
"Same_sex_relations"
] | [
true,
false,
false,
true,
true,
false,
false,
true,
true
] | 123 |
4,757 | mean_absolute_error | mean_absolute_error | la1s.wc | null | {0: [0 - aa (numeric)],
1: [1 - aaron (numeric)],
2: [2 - ab (numeric)],
3: [3 - aback (numeric)],
4: [4 - abandon (numeric)],
5: [5 - abat (numeric)],
6: [6 - abbe (numeric)],
7: [7 - abbrevi (numeric)],
8: [8 - abc (numeric)],
9: [9 - abdel (numeric)],
10: [10 - abdi (numeric)],
11: [11 - abdomen (numeric)... | {'MajorityClassSize': 943.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 273.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 13196.0,
'NumberOfInstances': 3204.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 13195.0,
'NumberOfSymbolicFeatures':... | la1s.wc | [
"aa",
"aaron",
"ab",
"aback",
"abandon",
"abat",
"abbe",
"abbrevi",
"abc",
"abdel",
"abdi",
"abdomen",
"abdomin",
"abduct",
"abdul",
"abdullah",
"abe",
"aberr",
"abet",
"abid",
"abil",
"ablaz",
"able",
"abnorm",
"aboard",
"abolish",
"abort",
"abound",
"abram",... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 124 |
4,814 | mean_absolute_error | mean_absolute_error | qsabr2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 15.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsabr2 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 125 |
4,822 | mean_absolute_error | mean_absolute_error | papir_2 | **Author**: Magne Aldrin (magne.aldrin@nr.no)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - April 14. 1999
**Please cite**:
One of two multivariate regression data sets from paper industry, from an experiment at the paper plant Saugbruksforeningen, Norway. They have been described and analysed in: ... | {0: [0 - response_1 (numeric)],
1: [1 - response_2 (numeric)],
2: [2 - response_3 (numeric)],
3: [3 - response_4 (numeric)],
4: [4 - response_5 (numeric)],
5: [5 - response_6 (numeric)],
6: [6 - response_7 (numeric)],
7: [7 - response_8 (numeric)],
8: [8 - response_9 (numeric)],
9: [9 - response_10 (numeric)],... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 41.0,
'NumberOfInstances': 30.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 41.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | papir_2 | [
"response_2",
"response_3",
"response_4",
"response_5",
"response_6",
"response_7",
"response_8",
"response_9",
"response_10",
"response_11",
"response_12",
"response_13",
"response_14",
"response_15",
"response_16",
"response_17",
"response_18",
"response_19",
"response_20",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 126 |
4,829 | mean_absolute_error | mean_absolute_error | analcatdata_runshoes | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Male (nominal)],
1: [1 - Married (nominal)],
2: [2 - Runs.per.week (numeric)],
3: [3 - Age (numeric)],
4: [4 - Income (numeric)],
5: [5 - College (nominal)],
6: [6 - Distance (nominal)],
7: [7 - Treadmill (nominal)],
8: [8 - Miles.per.week (numeric)],
9: [9 - Type.of.running (nominal)],
10: [10 - Sho... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 60.0,
'NumberOfInstancesWithMissingValues': 14.0,
'NumberOfMissingValues': 14.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 6.0,
'cos... | analcatdata_runshoes | [
"Male",
"Married",
"Runs.per.week",
"Age",
"Income",
"College",
"Distance",
"Treadmill",
"Miles.per.week",
"Type.of.running"
] | [
true,
true,
false,
false,
false,
true,
true,
true,
false,
true
] | 127 |
4,818 | mean_absolute_error | mean_absolute_error | arsenic-male-bladder | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: last | {0: [0 - group (nominal)],
1: [1 - conc (numeric)],
2: [2 - age (numeric)],
3: [3 - at.risk (numeric)],
4: [4 - events (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 43.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 559.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | arsenic-male-bladder | [
"group",
"conc",
"age",
"at.risk"
] | [
true,
false,
false,
false
] | 128 |
4,708 | mean_absolute_error | mean_absolute_error | satellite_image | **Author**:
**Source**: Unknown - 1993
**Please cite**:
Source:
Ashwin Srinivasan
Department of Statistics and Data Modeling
University of Strathclyde
Glasgow
Scotland
UK
ross '@' uk.ac.turing
The original Landsat data for this database was generated from data purchased from NASA by the Australian Centre for ... | {0: [0 - attr1 (numeric)],
1: [1 - attr2 (numeric)],
2: [2 - attr3 (numeric)],
3: [3 - attr4 (numeric)],
4: [4 - attr5 (numeric)],
5: [5 - attr6 (numeric)],
6: [6 - attr7 (numeric)],
7: [7 - attr8 (numeric)],
8: [8 - attr9 (numeric)],
9: [9 - attr10 (numeric)],
10: [10 - attr11 (numeric)],
11: [11 - attr12 (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 37.0,
'NumberOfInstances': 6435.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 37.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | satellite_image | [
"attr1",
"attr2",
"attr3",
"attr4",
"attr5",
"attr6",
"attr7",
"attr8",
"attr9",
"attr10",
"attr11",
"attr12",
"attr13",
"attr14",
"attr15",
"attr16",
"attr17",
"attr18",
"attr19",
"attr20",
"attr21",
"attr22",
"attr23",
"attr24",
"attr25",
"attr26",
"attr27",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 129 |
4,768 | mean_absolute_error | mean_absolute_error | wine_quality | **Author**: Tobias Kuehn
**Source**: Unknown - 2009
**Please cite**:
1. Title: Wine Quality
2. Sources
Created by: Paulo Cortez (Univ. Minho), Antonio Cerdeira, Fernando Almeida, Telmo Matos and Jose Reis (CVRVV) @ 2009
3. Past Usage:
P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.
Modeling wi... | {0: [0 - fixed.acidity (numeric)],
1: [1 - volatile.acidity (numeric)],
2: [2 - citric.acid (numeric)],
3: [3 - residual.sugar (numeric)],
4: [4 - chlorides (numeric)],
5: [5 - free.sulfur.dioxide (numeric)],
6: [6 - total.sulfur.dioxide (numeric)],
7: [7 - density (numeric)],
8: [8 - pH (numeric)],
9: [9 - su... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 6497.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 12.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | wine_quality | [
"fixed.acidity",
"volatile.acidity",
"citric.acid",
"residual.sugar",
"chlorides",
"free.sulfur.dioxide",
"total.sulfur.dioxide",
"density",
"pH",
"sulphates",
"alcohol"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 130 |
4,824 | mean_absolute_error | mean_absolute_error | newton_hema | **Author**: Michael Newton (newton@stat.wisc.edu)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 11-6-93
**Please cite**:
Data on fluctuating proportions of marked cells in marrow from heterozygous Safari cats from a study of early hematopoiesis.
The data included below are 11 time series of propor... | {0: [0 - id (nominal)],
1: [1 - weeks (numeric)],
2: [2 - cells_percentage (numeric)],
3: [3 - sample_size (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 11.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 140.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | newton_hema | [
"id",
"weeks",
"sample_size"
] | [
true,
false,
false
] | 131 |
4,823 | mean_absolute_error | mean_absolute_error | analcatdata_negotiation | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Role (nominal)],
1: [1 - Status (numeric)],
2: [2 - Trust (numeric)],
3: [3 - Outcome_favorability (numeric)],
4: [4 - Procedural_fairness (numeric)],
5: [5 - Future_business (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 92.0,
'NumberOfInstancesWithMissingValues': 17.0,
'NumberOfMissingValues': 26.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | analcatdata_negotiation | [
"Role",
"Status",
"Trust",
"Outcome_favorability",
"Procedural_fairness"
] | [
true,
false,
false,
false,
false
] | 132 |
4,825 | mean_absolute_error | mean_absolute_error | analcatdata_hiroshima | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Dose (numeric)],
1: [1 - Aberrant_cells (numeric)],
2: [2 - Total_cells (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 1.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 649.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | analcatdata_hiroshima | [
"Dose",
"Total_cells"
] | [
false,
true
] | 133 |
4,842 | mean_absolute_error | mean_absolute_error | baseball-team | **Author**: Lorraine Denby
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/)
**Please cite**:
**Analysis of Baseball Salary Data: Team statistics**
This analysis describes and summarizes the relationships between 1987 salaries of major league baseball players and the player's performance. The salary ... | {0: [0 - league (nominal)],
1: [1 - division (nominal)],
2: [2 - position_in_final_league_standings_in_1986 (nominal)],
3: [3 - team (nominal)],
4: [4 - number_of_wins_in_1986 (numeric)],
5: [5 - number_of_losses_in_1986 (numeric)],
6: [6 - attendance_for_home_games_in_1986 (numeric)],
7: [7 - attendance_for_awa... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 26.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 3.0,
'cost_m... | baseball-team | [
"league",
"division",
"position_in_final_league_standings_in_1986",
"number_of_wins_in_1986",
"number_of_losses_in_1986",
"attendance_for_home_games_in_1986",
"attendance_for_away_games_in_1986"
] | [
true,
true,
true,
false,
false,
false,
false
] | 134 |
4,841 | mean_absolute_error | mean_absolute_error | arsenic-female-lung | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: last | {0: [0 - group (nominal)],
1: [1 - conc (numeric)],
2: [2 - age (numeric)],
3: [3 - at.risk (numeric)],
4: [4 - events (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 43.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 559.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | arsenic-female-lung | [
"group",
"conc",
"age",
"at.risk"
] | [
true,
false,
false,
false
] | 135 |
4,828 | mean_absolute_error | mean_absolute_error | veteran | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Veteran's Administration Lung Cancer Trial
Taken from Kalbfleisch and Prentice, pages 223-224
Variables
Treatment 1=standard, 2=test
Celltype 1=squamous, 2=smallcell, 3=adeno, 4=large
Survival in days
Status 1=dead, 0=censored
Karnofsk... | {0: [0 - Treatment (nominal)],
1: [1 - Celltype (nominal)],
2: [2 - Survival (numeric)],
3: [3 - Status (nominal)],
4: [4 - Karnofsky_score (numeric)],
5: [5 - Months_from_Diagnosis (numeric)],
6: [6 - Age (numeric)],
7: [7 - Prior_therapy (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 137.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 4.0,
'cost_... | veteran | [
"Treatment",
"Celltype",
"Status",
"Karnofsky_score",
"Months_from_Diagnosis",
"Age",
"Prior_therapy"
] | [
true,
true,
true,
false,
false,
false,
true
] | 136 |
4,776 | mean_absolute_error | mean_absolute_error | yokohoma2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 12.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | yokohoma2 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 137 |
4,797 | mean_absolute_error | mean_absolute_error | svensson | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | svensson | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 138 |
4,778 | mean_absolute_error | mean_absolute_error | yokohoma1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | yokohoma1 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 139 |
4,837 | mean_absolute_error | mean_absolute_error | places | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This dataset is taken from the Places Rated Almanac, by Richard
Boyer and David Savageau, copyrighted and published by Rand McNally.
This book order (SBN) number is 0-528-88008-X, and it retails for
$14.95 . The data are reproduced by kind permis... | {0: [0 - Climate_and_Terrain (numeric)],
1: [1 - Housing (numeric)],
2: [2 - Health_Care_and_Environment (numeric)],
3: [3 - Crime (numeric)],
4: [4 - Transportation (numeric)],
5: [5 - Education (numeric)],
6: [6 - The_Arts (numeric)],
7: [7 - Recreation (numeric)],
8: [8 - Economics (numeric)],
9: [9 - Place... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 329.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | places | [
"Climate_and_Terrain",
"Housing",
"Health_Care_and_Environment",
"Crime",
"Transportation",
"Education",
"The_Arts",
"Recreation"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 140 |
4,787 | mean_absolute_error | mean_absolute_error | siddiqi | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 10.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | siddiqi | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 141 |
2,288 | mean_absolute_error | mean_absolute_error | cpu_act | **Author**:
**Source**: Unknown -
**Please cite**:
The Computer Activity databases are a collection of computer systems
activity measures. The data was collected from a Sun Sparcstation
20/712 with 128 Mbytes of memory running in a multi-user university
department. Users would typically be doing a large va... | {0: [0 - lread (numeric)],
1: [1 - lwrite (numeric)],
2: [2 - scall (numeric)],
3: [3 - sread (numeric)],
4: [4 - swrite (numeric)],
5: [5 - fork (numeric)],
6: [6 - exec (numeric)],
7: [7 - rchar (numeric)],
8: [8 - wchar (numeric)],
9: [9 - pgout (numeric)],
10: [10 - ppgout (numeric)],
11: [11 - pgfree (n... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 22.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 22.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | cpu_act | [
"lread",
"lwrite",
"scall",
"sread",
"swrite",
"fork",
"exec",
"rchar",
"wchar",
"pgout",
"ppgout",
"pgfree",
"pgscan",
"atch",
"pgin",
"ppgin",
"pflt",
"vflt",
"runqsz",
"freemem",
"freeswap"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 142 |
4,840 | mean_absolute_error | mean_absolute_error | balloon | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The data consist of 2001 observations taken from a balloon about 30 kilometres
above the surface of the earth. In the section of the flight shown here the
balloon increases in height. As radiation increases with height there is a
non-decreasing tr... | {0: [0 - id (numeric)], 1: [1 - raw (numeric)], 2: [2 - residual (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 2.0,
'NumberOfInstances': 2001.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | balloon | [
"raw"
] | [
false
] | 144 |
4,852 | mean_absolute_error | mean_absolute_error | analcatdata_seropositive | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Age (numeric)],
1: [1 - Disease (nominal)],
2: [2 - Positive (numeric)],
3: [3 - Total (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 132.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | analcatdata_seropositive | [
"Age",
"Disease",
"Total"
] | [
false,
true,
false
] | 145 |
4,851 | mean_absolute_error | mean_absolute_error | baseball-hitter | **Author**: Lorraine Denby
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/)
**Please cite**:
**Analysis of Baseball Salary Data: Hitters**
This analysis describes and summarizes the relationships between 1987 salaries of major league baseball players and the player's performance. The salary data were ... | {0: [0 - hitters_name (nominal)],
1: [1 - number_of_times_at_bat_in_1986 (numeric)],
2: [2 - number_of_hits_in_1986 (numeric)],
3: [3 - number_of_home_runs_in_1986 (numeric)],
4: [4 - number_of_runs_in_1986 (numeric)],
5: [5 - number_of_runs_batted_in_in_1986 (numeric)],
6: [6 - number_of_walks_in_1986 (numeric)]... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 25.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 23.0,
'NumberOfInstances': 322.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 59.0,
'NumberOfNumericFeatures': 17.0,
'NumberOfSymbolicFeatures': 6.0,
'c... | baseball-hitter | [
"number_of_times_at_bat_in_1986",
"number_of_hits_in_1986",
"number_of_home_runs_in_1986",
"number_of_runs_in_1986",
"number_of_runs_batted_in_in_1986",
"number_of_walks_in_1986",
"number_of_years_in_the_major_leagues",
"number_of_times_at_bat_during_his_career",
"number_of_hits_during_his_career",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
true,
true,
true,
true,
false,
false,
false,
true,
true
] | 146 |
4,788 | mean_absolute_error | mean_absolute_error | lewis | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 7.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | lewis | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 147 |
4,849 | mean_absolute_error | mean_absolute_error | analcatdata_neavote | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Name (nominal)],
1: [1 - Party (nominal)],
2: [2 - Favorable (numeric)],
3: [3 - Bills (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | analcatdata_neavote | [
"Party",
"Bills"
] | [
true,
false
] | 148 |
4,833 | mean_absolute_error | mean_absolute_error | tecator | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is the Tecator data set: The task is to predict the fat content of a
meat sample on the basis of its near infrared absorbance spectrum.
1. Statement of permission from Tecator (the original data source)
These data are recorded on a Tecator I... | {0: [0 - absorbance_1 (numeric)],
1: [1 - absorbance_2 (numeric)],
2: [2 - absorbance_3 (numeric)],
3: [3 - absorbance_4 (numeric)],
4: [4 - absorbance_5 (numeric)],
5: [5 - absorbance_6 (numeric)],
6: [6 - absorbance_7 (numeric)],
7: [7 - absorbance_8 (numeric)],
8: [8 - absorbance_9 (numeric)],
9: [9 - absor... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 125.0,
'NumberOfInstances': 240.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 125.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | tecator | [
"absorbance_1",
"absorbance_2",
"absorbance_3",
"absorbance_4",
"absorbance_5",
"absorbance_6",
"absorbance_7",
"absorbance_8",
"absorbance_9",
"absorbance_10",
"absorbance_11",
"absorbance_12",
"absorbance_13",
"absorbance_14",
"absorbance_15",
"absorbance_16",
"absorbance_17",
"a... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 149 |
4,830 | mean_absolute_error | mean_absolute_error | analcatdata_vineyard | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Year (nominal)],
1: [1 - Row (numeric)],
2: [2 - Group (numeric)],
3: [3 - Lugs (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 9.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 468.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | analcatdata_vineyard | [
"Year",
"Row",
"Group"
] | [
true,
false,
false
] | 150 |
4,848 | mean_absolute_error | mean_absolute_error | pm10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The data are a subsample of 500 observations from a data set
that originate in a study where air pollution at a road is
related to traffic volume and meteorological variables,
collected by the Norwegian Public Roads Administration. The
response va... | {0: [0 - pm10_concentration (numeric)],
1: [1 - cars_per_hour (numeric)],
2: [2 - temperature_at_2m (numeric)],
3: [3 - wind_speed (numeric)],
4: [4 - temperature_diff_2m_25m (numeric)],
5: [5 - wind_direction (numeric)],
6: [6 - hour_of_day (numeric)],
7: [7 - day (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | pm10 | [
"cars_per_hour",
"temperature_at_2m",
"wind_speed",
"temperature_diff_2m_25m",
"wind_direction",
"hour_of_day",
"day"
] | [
false,
false,
false,
false,
false,
false,
false
] | 151 |
4,806 | mean_absolute_error | mean_absolute_error | stevenson | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 5.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | stevenson | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 152 |
4,835 | mean_absolute_error | mean_absolute_error | space_ga | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Geographical Analysis Spatial Data
This georeferenced data set was used in:
Pace, R. Kelley, and Ronald Barry, Quick Computation of Regressions with a Spatially
Autoregressive Dependent Variable, Geographical Analysis, Volume 29, Number 3, July
... | {0: [0 - ln(VOTES/POP) (numeric)],
1: [1 - POP (numeric)],
2: [2 - EDUCATION (numeric)],
3: [3 - HOUSES (numeric)],
4: [4 - INCOME (numeric)],
5: [5 - XCOORD (numeric)],
6: [6 - YCOORD (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 3107.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | space_ga | [
"POP",
"EDUCATION",
"HOUSES",
"INCOME",
"XCOORD",
"YCOORD"
] | [
false,
false,
false,
false,
false,
false
] | 153 |
4,794 | mean_absolute_error | mean_absolute_error | cristalli | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 32.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | cristalli | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 154 |
4,860 | mean_absolute_error | mean_absolute_error | analcatdata_chlamydia | **Author**: Jeffrey S. Simonoff
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2003
**Please cite**: Jeffrey S. Simonoff. Analyzing Categorical Data. Springer-Verlag, New York, 2003
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2... | {0: [0 - Age (nominal)],
1: [1 - Gender (nominal)],
2: [2 - Race (nominal)],
3: [3 - Count (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 10.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 3.0,
'cost... | analcatdata_chlamydia | [
"Age",
"Gender",
"Race"
] | [
true,
true,
true
] | 155 |
4,784 | mean_absolute_error | mean_absolute_error | carbolenes | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 37.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | carbolenes | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 156 |
4,844 | mean_absolute_error | mean_absolute_error | analcatdata_gviolence | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Title (nominal)],
1: [1 - Year (numeric)],
2: [2 - Length (numeric)],
3: [3 - Violence_time (numeric)],
4: [4 - Injuries (numeric)],
5: [5 - Fatal_injuries (numeric)],
6: [6 - Good/neutral_injuries (numeric)],
7: [7 - Good/neutral_fatalities (numeric)],
8: [8 - Bad_injuries (numeric)],
9: [9 - Bad_fat... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 74.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | analcatdata_gviolence | [
"Year",
"Length",
"Injuries",
"Fatal_injuries",
"Good/neutral_injuries",
"Good/neutral_fatalities",
"Bad_injuries",
"Bad_fatalities"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 157 |
4,812 | mean_absolute_error | mean_absolute_error | doherty | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 6.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | doherty | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 158 |
4,792 | mean_absolute_error | mean_absolute_error | strupcz | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 34.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | strupcz | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 159 |
4,799 | mean_absolute_error | mean_absolute_error | penning | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | penning | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 160 |
4,832 | mean_absolute_error | mean_absolute_error | analcatdata_supreme | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Actions_taken (numeric)],
1: [1 - Liberal (numeric)],
2: [2 - Unconstitutional (numeric)],
3: [3 - Precedent_alteration (numeric)],
4: [4 - Unanimous (numeric)],
5: [5 - Year_of_decision (numeric)],
6: [6 - Lower_court_disagreement (numeric)],
7: [7 - Log_exposure (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 4052.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | analcatdata_supreme | [
"Actions_taken",
"Liberal",
"Unconstitutional",
"Precedent_alteration",
"Unanimous",
"Year_of_decision",
"Lower_court_disagreement"
] | [
false,
false,
false,
false,
false,
false,
false
] | 161 |
4,846 | mean_absolute_error | mean_absolute_error | analcatdata_wildcat | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Grievances (numeric)],
1: [1 - Rotate (nominal)],
2: [2 - Union (nominal)],
3: [3 - Workforce (numeric)],
4: [4 - Log_workforce (numeric)],
5: [5 - Wildcat_strikes (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 163.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_... | analcatdata_wildcat | [
"Grievances",
"Rotate",
"Union",
"Workforce",
"Log_workforce"
] | [
false,
true,
true,
false,
false
] | 162 |
4,820 | mean_absolute_error | mean_absolute_error | analcatdata_vehicle | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Alcohol-related (nominal)],
1: [1 - Gender (nominal)],
2: [2 - Type (nominal)],
3: [3 - Age (nominal)],
4: [4 - Count (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 48.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 4.0,
'cost_m... | analcatdata_vehicle | [
"Alcohol-related",
"Gender",
"Type",
"Age"
] | [
true,
true,
true,
true
] | 163 |
4,853 | mean_absolute_error | mean_absolute_error | analcatdata_election2000 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - County (nominal)],
1: [1 - Gore00 (numeric)],
2: [2 - Bush00 (numeric)],
3: [3 - Buchanan00 (numeric)],
4: [4 - Nader00 (numeric)],
5: [5 - Browne00 (numeric)],
6: [6 - Hagelin00 (numeric)],
7: [7 - Harris00 (numeric)],
8: [8 - McReynolds00 (numeric)],
9: [9 - Moorehead00 (numeric)],
10: [10 - Philli... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 16.0,
'NumberOfInstances': 67.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | analcatdata_election2000 | [
"Bush00",
"Buchanan00",
"Nader00",
"Browne00",
"Hagelin00",
"Harris00",
"McReynolds00",
"Moorehead00",
"Phillips00",
"Total00",
"Clinton96",
"Dole96",
"Perot96",
"Total96"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 164 |
4,810 | mean_absolute_error | mean_absolute_error | rosowky | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 10.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | rosowky | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 165 |
4,811 | mean_absolute_error | mean_absolute_error | garrat | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 10.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | garrat | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 167 |
4,845 | mean_absolute_error | mean_absolute_error | vinnie | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Following are data on the shooting of Vinnie Johnson of the Detroit
Pistons during the 1985-1986 through 1988-1989 seasons. Source was the
New York Times.
The data are analyzed in the Carnegie Mellon Ph.D. Thesis of
Kate Hsiao and some results are... | {0: [0 - year (numeric)],
1: [1 - field_goals (numeric)],
2: [2 - field_goal_attempts (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 380.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | vinnie | [
"year",
"field_goal_attempts"
] | [
false,
false
] | 168 |
4,847 | mean_absolute_error | mean_absolute_error | analcatdata_ncaa | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Seed_team_1 (numeric)],
1: [1 - Seed_team_2 (numeric)],
2: [2 - Team_1_wins (numeric)],
3: [3 - Team_1_losses (numeric)],
4: [4 - X1 (nominal)],
5: [5 - X2 (nominal)],
6: [6 - X3 (nominal)],
7: [7 - X4 (nominal)],
8: [8 - X5 (nominal)],
9: [9 - X6 (nominal)],
10: [10 - X7 (nominal)],
11: [11 - X8 (n... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 120.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 16.0,
'cos... | analcatdata_ncaa | [
"Seed_team_1",
"Seed_team_2",
"Team_1_losses",
"X1",
"X2",
"X3",
"X4",
"X5",
"X6",
"X7",
"X8",
"X9",
"X10",
"X11",
"X12",
"X13",
"X14",
"X15",
"X16"
] | [
false,
false,
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 169 |
4,855 | mean_absolute_error | mean_absolute_error | pollen | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This dataset is synthetic. It was generated by David Coleman
at RCA Laboratories in Princeton, N.J. For convenience, we will
refer to it as the POLLEN DATA. The first three variables are the
lengths of geometric features observed sampled pollen... | {0: [0 - RIDGE (numeric)],
1: [1 - NUB (numeric)],
2: [2 - CRACK (numeric)],
3: [3 - WEIGHT (numeric)],
4: [4 - DENSITY (numeric)],
5: [5 - OBSERVATION_NUMBER (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 3848.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | pollen | [
"RIDGE",
"NUB",
"CRACK",
"WEIGHT"
] | [
false,
false,
false,
false
] | 170 |
4,843 | mean_absolute_error | mean_absolute_error | pbcseq | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Primary Biliary Cirrhosis
This data set is a follow-up to the original PBC data set, as discussed
in appendix D of Fleming and Harrington, Counting Processes and Survival
Analysis, Wiley, 1991. An analysis based on the enclised data is found in
... | {0: [0 - case_number (numeric)],
1: [1 - number_of_days (numeric)],
2: [2 - status (numeric)],
3: [3 - drug (nominal)],
4: [4 - age (numeric)],
5: [5 - sex (nominal)],
6: [6 - day (nominal)],
7: [7 - presence_of_asictes (nominal)],
8: [8 - presence_of_hepatomegaly (nominal)],
9: [9 - presence_of_spiders (nomin... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 1024.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 19.0,
'NumberOfInstances': 1945.0,
'NumberOfInstancesWithMissingValues': 832.0,
'NumberOfMissingValues': 1133.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 6... | pbcseq | [
"case_number",
"number_of_days",
"drug",
"age",
"sex",
"day",
"presence_of_asictes",
"presence_of_hepatomegaly",
"presence_of_spiders",
"presence_of_edema",
"serum_bilirubin",
"serum_cholesterol",
"albumin",
"alkaline_phosphatase",
"SGOT",
"platelets",
"prothrombin_time",
"histolog... | [
false,
false,
true,
false,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 171 |
4,813 | mean_absolute_error | mean_absolute_error | chang | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 34.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | chang | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 172 |
4,836 | mean_absolute_error | mean_absolute_error | nflpass | **Author**: Roger W. Johnson
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/)
**Please cite**:
**National Football League Passes**
Dataset listing all-time NFL passers through 1994 by the NFL passing efficiency rating.
Associated passing statistics from which this rating is computed are included.
... | {0: [0 - Passing_Attempts (numeric)],
1: [1 - Passing_Completions (numeric)],
2: [2 - Passing_Yards (numeric)],
3: [3 - Touchdowns_by_Passing (numeric)],
4: [4 - Interceptions (numeric)],
5: [5 - NFL_Rating (numeric)],
6: [6 - Name_of_NFL_Player (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 26.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | nflpass | [
"Passing_Attempts",
"Passing_Completions",
"Passing_Yards",
"Touchdowns_by_Passing",
"Interceptions"
] | [
false,
false,
false,
false,
false
] | 173 |
4,850 | mean_absolute_error | mean_absolute_error | pbc | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
------------------------------------------------------------------------
Primary Biliary Cirrhosis
The data set found in appendix D of Fleming and Harrington, Counting
Processes and Survival Analysis, Wiley, 1991. The only differences are:
age i... | {0: [0 - case_number (numeric)],
1: [1 - number_of_days (numeric)],
2: [2 - status (numeric)],
3: [3 - drug (nominal)],
4: [4 - age (numeric)],
5: [5 - sex (nominal)],
6: [6 - presence_of_asictes (nominal)],
7: [7 - presence_of_hepatomegaly (nominal)],
8: [8 - presence_of_spiders (nominal)],
9: [9 - presence_o... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 418.0,
'NumberOfInstancesWithMissingValues': 142.0,
'NumberOfMissingValues': 1033.0,
'NumberOfNumericFeatures': 14.0,
'NumberOfSymbolicFeatures': 6.0,
... | pbc | [
"case_number",
"number_of_days",
"drug",
"age",
"sex",
"presence_of_asictes",
"presence_of_hepatomegaly",
"presence_of_spiders",
"presence_of_edema",
"serum_bilirubin",
"serum_cholesterol",
"albumin",
"urine_copper",
"alkaline_phosphatase",
"SGOT",
"triglicerides",
"platelets",
"pr... | [
false,
false,
true,
false,
true,
true,
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 174 |
4,865 | mean_absolute_error | mean_absolute_error | mu284 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file contains the data in "The MU284 Population" from Appendix B of
the book "Model Assisted Survey Sampling" by Sarndal, Swensson and Wretman,
published by Springer-Verlag, New York, 1992. The data set contains 284
observations on 11 variabl... | {0: [0 - LABEL (numeric)],
1: [1 - P85 (numeric)],
2: [2 - P75 (numeric)],
3: [3 - RMT85 (numeric)],
4: [4 - CS82 (numeric)],
5: [5 - SS82 (numeric)],
6: [6 - S82 (numeric)],
7: [7 - ME84 (numeric)],
8: [8 - REV84 (numeric)],
9: [9 - REG (numeric)],
10: [10 - CL (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 284.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | mu284 | [
"P85",
"P75",
"RMT85",
"CS82",
"SS82",
"S82",
"ME84",
"REV84",
"REG"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 175 |
4,861 | mean_absolute_error | mean_absolute_error | arsenic-male-lung | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: last | {0: [0 - group (nominal)],
1: [1 - conc (numeric)],
2: [2 - age (numeric)],
3: [3 - at.risk (numeric)],
4: [4 - events (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 43.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 559.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | arsenic-male-lung | [
"group",
"conc",
"age",
"at.risk"
] | [
true,
false,
false,
false
] | 176 |
4,876 | mean_absolute_error | mean_absolute_error | detroit | **Author**: J.C. Fisher
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 1992
**Please cite**:
Data on the homicide rate in Detroit for the years 1961-1973. This is the data set called DETROIT in the book 'Subset selection in regression' by Alan J. Miller published in the Chapman & Hall series of mono... | {0: [0 - FTP (numeric)],
1: [1 - UEMP (numeric)],
2: [2 - MAN (numeric)],
3: [3 - LIC (numeric)],
4: [4 - GR (numeric)],
5: [5 - CLEAR (numeric)],
6: [6 - WM (numeric)],
7: [7 - NMAN (numeric)],
8: [8 - GOV (numeric)],
9: [9 - HE (numeric)],
10: [10 - WE (numeric)],
11: [11 - HOM (numeric)],
12: [12 - ACC (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 14.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | detroit | [
"FTP",
"UEMP",
"MAN",
"LIC",
"GR",
"CLEAR",
"WM",
"NMAN",
"GOV",
"HE",
"WE",
"ACC",
"ASR"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 177 |
4,873 | mean_absolute_error | mean_absolute_error | strikes | **Author**: Bruce Western (western@datacomm.iue.it)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 1999
**Please cite**:
The data consist of annual observations on the level of strike volume (days lost due to industrial disputes per 1000 wage salary earners), and their covariates in 18 OECD countri... | {0: [0 - country_code (numeric)],
1: [1 - year (numeric)],
2: [2 - strike_volume (numeric)],
3: [3 - unemployment (numeric)],
4: [4 - inflation (numeric)],
5: [5 - parliamentary_representation (numeric)],
6: [6 - union_centralization (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 625.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | strikes | [
"country_code",
"year",
"unemployment",
"inflation",
"parliamentary_representation",
"union_centralization"
] | [
false,
false,
false,
false,
false,
false
] | 178 |
4,859 | mean_absolute_error | mean_absolute_error | cps_85_wages | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Determinants of Wages from the 1985 Current Population Survey
Summary:
The Current Population Survey (CPS) is used to supplement census information between census years. These data consist of a random sample of 534 persons from the CPS, with info... | {0: [0 - EDUCATION (numeric)],
1: [1 - SOUTH (nominal)],
2: [2 - SEX (nominal)],
3: [3 - EXPERIENCE (numeric)],
4: [4 - UNION (nominal)],
5: [5 - WAGE (numeric)],
6: [6 - AGE (numeric)],
7: [7 - RACE (nominal)],
8: [8 - OCCUPATION (nominal)],
9: [9 - SECTOR (nominal)],
10: [10 - MARR (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 534.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 7.0,
'cost... | cps_85_wages | [
"EDUCATION",
"SOUTH",
"SEX",
"EXPERIENCE",
"UNION",
"AGE",
"RACE",
"OCCUPATION",
"SECTOR",
"MARR"
] | [
false,
true,
true,
false,
true,
false,
true,
true,
true,
true
] | 179 |
4,854 | mean_absolute_error | mean_absolute_error | humandevel | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Human Development Index [DATA]
United Nations Development Program compiled an Index of Human
Development. Column 1: Country(character) 2: Index 3: GNP
GNP PER
CAPITA RANK RANK -
RANK HDI 1987 GNP RANK
1 Niger ... | {0: [0 - rank (numeric)],
1: [1 - country (nominal)],
2: [2 - hdi (numeric)],
3: [3 - gnp_per_capita (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 2.0,
'NumberOfInstances': 130.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | humandevel | [
"gnp_per_capita"
] | [
false
] | 180 |
4,839 | mean_absolute_error | mean_absolute_error | plasma_retinol | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Determinants of Plasma Retinol and Beta-Carotene Levels
Summary:
Observational studies have suggested that low dietary intake or low plasma concentrations of retinol, beta-carotene, or other carotenoids might be associated with increased risk of ... | {0: [0 - AGE (numeric)],
1: [1 - SEX (nominal)],
2: [2 - SMOKSTAT (nominal)],
3: [3 - QUETELET (numeric)],
4: [4 - VITUSE (nominal)],
5: [5 - CALORIES (numeric)],
6: [6 - FAT (numeric)],
7: [7 - FIBER (numeric)],
8: [8 - ALCOHOL (numeric)],
9: [9 - CHOLESTEROL (numeric)],
10: [10 - BETADIET (numeric)],
11: [... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 315.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 3.0,
'cos... | plasma_retinol | [
"AGE",
"SEX",
"SMOKSTAT",
"QUETELET",
"VITUSE",
"CALORIES",
"FAT",
"FIBER",
"ALCOHOL",
"CHOLESTEROL",
"BETADIET",
"RETDIET",
"BETAPLASMA"
] | [
false,
true,
true,
false,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 181 |
4,870 | mean_absolute_error | mean_absolute_error | lmpavw | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
-------------------------------------------------------------------------------
TIME SERIES USED IN
LONG-MEMORY PROCESSES, THE ALLAN VARIANCE AND WAVELETS
BY D. B. PERCIVAL AND P. GUTTORP, A CHAPTER IN
WAVELETS IN GEOPHYSICS
EDITED BY E. FOUFOULA... | {0: [0 - vertical_ocean_shear (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1.0,
'NumberOfInstances': 6875.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | lmpavw | [] | [] | 182 |
4,831 | mean_absolute_error | mean_absolute_error | wind | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
wind daily average wind speeds for 1961-1978 at 12 synoptic meteorological
stations in the Republic of Ireland (Haslett and raftery 1989).
These data were analyzed in detail in the following article:
Haslett, J. and Raftery, A. E. (1989). Space... | {0: [0 - year (numeric)],
1: [1 - month (numeric)],
2: [2 - day (numeric)],
3: [3 - RPT (numeric)],
4: [4 - VAL (numeric)],
5: [5 - ROS (numeric)],
6: [6 - KIL (numeric)],
7: [7 - SHA (numeric)],
8: [8 - BIR (numeric)],
9: [9 - DUB (numeric)],
10: [10 - CLA (numeric)],
11: [11 - MUL (numeric)],
12: [12 - CL... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 15.0,
'NumberOfInstances': 6574.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | wind | [
"year",
"month",
"day",
"RPT",
"VAL",
"ROS",
"KIL",
"SHA",
"BIR",
"DUB",
"CLA",
"MUL",
"CLO",
"BEL"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 183 |
4,867 | mean_absolute_error | mean_absolute_error | pollution | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is the pollution data so loved by writers of papers on ridge regression.
Source: McDonald, G.C. and Schwing, R.C. (1973) 'Instabilities of regression
estimates relating air pollution to mortality', Technometrics, vol.15, 463-
Variables in ord... | {0: [0 - PREC (numeric)],
1: [1 - JANT (numeric)],
2: [2 - JULT (numeric)],
3: [3 - OVR65 (numeric)],
4: [4 - POPN (numeric)],
5: [5 - EDUC (numeric)],
6: [6 - HOUS (numeric)],
7: [7 - DENS (numeric)],
8: [8 - NONW (numeric)],
9: [9 - WWDRK (numeric)],
10: [10 - POOR (numeric)],
11: [11 - HC (numeric)],
12:... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 16.0,
'NumberOfInstances': 60.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 16.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | pollution | [
"PREC",
"JANT",
"JULT",
"OVR65",
"POPN",
"EDUC",
"HOUS",
"DENS",
"NONW",
"WWDRK",
"POOR",
"HC",
"NOX",
"SO2",
"HUMID"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 184 |
4,858 | mean_absolute_error | mean_absolute_error | arsenic-female-bladder | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: last | {0: [0 - group (nominal)],
1: [1 - conc (numeric)],
2: [2 - age (numeric)],
3: [3 - at.risk (numeric)],
4: [4 - events (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 43.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 559.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | arsenic-female-bladder | [
"group",
"conc",
"age",
"at.risk"
] | [
true,
false,
false,
false
] | 185 |
4,838 | mean_absolute_error | mean_absolute_error | sleep | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This dataset contains 3 more features compared to version 1 of the same dataset.
Data from which conclusions were drawn in the article "Sleep in
Mammals: Ecological and Constitutional Correlates" by Allison, T. and
Cicchetti, D. (1976), _... | {0: [0 - species (nominal)],
1: [1 - body_weight (numeric)],
2: [2 - brain_weight (numeric)],
3: [3 - slow_wave (numeric)],
4: [4 - paradoxical (numeric)],
5: [5 - total_sleep (numeric)],
6: [6 - maximum_life_span (numeric)],
7: [7 - gestation_time (numeric)],
8: [8 - predation_index (numeric)],
9: [9 - sleep_... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 62.0,
'NumberOfInstancesWithMissingValues': 20.0,
'NumberOfMissingValues': 38.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | sleep | [
"body_weight",
"brain_weight",
"slow_wave",
"paradoxical",
"total_sleep",
"maximum_life_span",
"gestation_time",
"predation_index",
"sleep_exposure_index"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 186 |
4,744 | mean_absolute_error | mean_absolute_error | satellite_image | **Author**:
**Source**: Unknown - 1993
**Please cite**:
Source:
Ashwin Srinivasan
Department of Statistics and Data Modeling
University of Strathclyde
Glasgow
Scotland
UK
ross '@' uk.ac.turing
The original Landsat data for this database was generated from data purchased from NASA by the Australian Centre for ... | {0: [0 - attr1 (numeric)],
1: [1 - attr2 (numeric)],
2: [2 - attr3 (numeric)],
3: [3 - attr4 (numeric)],
4: [4 - attr5 (numeric)],
5: [5 - attr6 (numeric)],
6: [6 - attr7 (numeric)],
7: [7 - attr8 (numeric)],
8: [8 - attr9 (numeric)],
9: [9 - attr10 (numeric)],
10: [10 - attr11 (numeric)],
11: [11 - attr12 (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 37.0,
'NumberOfInstances': 6435.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 37.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | satellite_image | [
"attr1",
"attr2",
"attr3",
"attr4",
"attr5",
"attr6",
"attr7",
"attr8",
"attr9",
"attr10",
"attr11",
"attr12",
"attr13",
"attr14",
"attr15",
"attr16",
"attr17",
"attr18",
"attr19",
"attr20",
"attr21",
"attr22",
"attr23",
"attr24",
"attr25",
"attr26",
"attr27",
"... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 187 |
4,879 | mean_absolute_error | mean_absolute_error | analcatdata_apnea2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Automatic (nominal)],
1: [1 - Scorer_1 (nominal)],
2: [2 - Subject (numeric)],
3: [3 - Count (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 475.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_... | analcatdata_apnea2 | [
"Automatic",
"Scorer_1",
"Subject"
] | [
true,
true,
false
] | 188 |
4,872 | mean_absolute_error | mean_absolute_error | no2 | **Author**: Magne Aldrin (magne.aldrin@nr.no)
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2004
**Please cite**:
The data are a subsample of 500 observations from a data set that originate in a study where air pollution at a road is
related to traffic volume and meteorological variables, collected... | {0: [0 - no2_concentration (numeric)],
1: [1 - cars_per_hour (numeric)],
2: [2 - temperature_at_2m (numeric)],
3: [3 - wind_speed (numeric)],
4: [4 - temperature_diff_2m_25m (numeric)],
5: [5 - wind_direction (numeric)],
6: [6 - hour_of_day (numeric)],
7: [7 - day (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | no2 | [
"cars_per_hour",
"temperature_at_2m",
"wind_speed",
"temperature_diff_2m_25m",
"wind_direction",
"hour_of_day",
"day"
] | [
false,
false,
false,
false,
false,
false,
false
] | 189 |
4,868 | mean_absolute_error | mean_absolute_error | boston_corrected | **Author**:
**Source**: Unknown - Date unknown
**Please cite**: | {0: [0 - OBS. (numeric)],
1: [1 - TOWN (nominal)],
2: [2 - TOWN_ID (numeric)],
3: [3 - TRACT (numeric)],
4: [4 - LON (numeric)],
5: [5 - LAT (numeric)],
6: [6 - MEDV (numeric)],
7: [7 - CMEDV (numeric)],
8: [8 - CRIM (numeric)],
9: [9 - ZN (numeric)],
10: [10 - INDUS (numeric)],
11: [11 - CHAS (nominal)],
1... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 92.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 21.0,
'NumberOfInstances': 506.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 18.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | boston_corrected | [
"TOWN",
"TOWN_ID",
"TRACT",
"LON",
"LAT",
"MEDV",
"CMEDV",
"CRIM",
"ZN",
"INDUS",
"CHAS",
"NOX",
"RM",
"AGE",
"DIS",
"RAD",
"TAX",
"PTRATIO",
"B"
] | [
true,
false,
false,
false,
false,
false,
false,
false,
false,
false,
true,
false,
false,
false,
false,
true,
false,
false,
false
] | 191 |
4,857 | mean_absolute_error | mean_absolute_error | boston | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic
prices and the demand for clean air', J. Environ. Economics & Management,
vol.5, 81-102, 1978. Used in Belsley, Kuh & Welsch, 'Regression diagnostics
...', Wiley, 1980. N... | {0: [0 - CRIM (numeric)],
1: [1 - ZN (numeric)],
2: [2 - INDUS (numeric)],
3: [3 - CHAS (nominal)],
4: [4 - NOX (numeric)],
5: [5 - RM (numeric)],
6: [6 - AGE (numeric)],
7: [7 - DIS (numeric)],
8: [8 - RAD (nominal)],
9: [9 - TAX (numeric)],
10: [10 - PTRATIO (numeric)],
11: [11 - B (numeric)],
12: [12 - L... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 9.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 506.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 12.0,
'NumberOfSymbolicFeatures': 2.0,
'cos... | boston | [
"CRIM",
"ZN",
"INDUS",
"CHAS",
"NOX",
"RM",
"AGE",
"DIS",
"RAD",
"TAX",
"PTRATIO",
"B",
"LSTAT"
] | [
false,
false,
false,
true,
false,
false,
false,
false,
true,
false,
false,
false,
false
] | 192 |
4,809 | mean_absolute_error | mean_absolute_error | uehling | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 9.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | uehling | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 193 |
4,771 | mean_absolute_error | mean_absolute_error | ozone_level | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Ozone Level Detection
2. Source:
Kun Zhang
zhang.kun05 '@' gmail.com
Department of Computer Science,
Xavier University of Lousiana
Wei Fan
wei.fan '@' gmail.com
IBM T.J.Watson Research
XiaoJing Yuan
xyuan '@' uh.edu
Engineering Technology Departm... | {0: [0 - WSR0 (nominal)],
1: [1 - WSR1 (nominal)],
2: [2 - WSR2 (nominal)],
3: [3 - WSR3 (nominal)],
4: [4 - WSR4 (nominal)],
5: [5 - WSR5 (nominal)],
6: [6 - WSR6 (nominal)],
7: [7 - WSR7 (nominal)],
8: [8 - WSR8 (nominal)],
9: [9 - WSR9 (nominal)],
10: [10 - WSR10 (nominal)],
11: [11 - WSR11 (nominal)],
1... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 1688.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 73.0,
'NumberOfInstances': 2536.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 72.0,
... | ozone_level | [
"WSR0",
"WSR1",
"WSR2",
"WSR3",
"WSR4",
"WSR5",
"WSR6",
"WSR7",
"WSR8",
"WSR9",
"WSR10",
"WSR11",
"WSR12",
"WSR13",
"WSR14",
"WSR15",
"WSR16",
"WSR17",
"WSR18",
"WSR19",
"WSR20",
"WSR21",
"WSR22",
"WSR23",
"WSR_PK",
"WSR_AV",
"T0",
"T1",
"T2",
"T3",
"T4",
... | [
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... | 194 |
4,880 | mean_absolute_error | mean_absolute_error | analcatdata_apnea1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Scorer_1 (nominal)],
1: [1 - Scorer_2 (nominal)],
2: [2 - Subject (numeric)],
3: [3 - Count (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 475.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_... | analcatdata_apnea1 | [
"Scorer_1",
"Scorer_2",
"Subject"
] | [
true,
true,
false
] | 195 |
4,878 | mean_absolute_error | mean_absolute_error | analcatdata_apnea3 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Automatic (nominal)],
1: [1 - Scorer_2 (nominal)],
2: [2 - Subject (numeric)],
3: [3 - Count (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 450.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_... | analcatdata_apnea3 | [
"Automatic",
"Scorer_2",
"Subject"
] | [
true,
true,
false
] | 196 |
4,866 | mean_absolute_error | mean_absolute_error | socmob | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
17x17x2x2 tables of counts in GLIM-ready format used for the analyses
in Biblarz, Timothy J., and Adrian E. Raftery. 1993. "The Effects of
Family Disruption on Social Mobility." American Sociological Review
(In press). For further details of the d... | {0: [0 - fathers_occupation (nominal)],
1: [1 - sons_occupation (nominal)],
2: [2 - family_structure (nominal)],
3: [3 - race (nominal)],
4: [4 - counts_for_sons_first_occupation (numeric)],
5: [5 - counts_for_sons_current_occupation (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 17.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1156.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 4.0,
'cos... | socmob | [
"fathers_occupation",
"sons_occupation",
"family_structure",
"race",
"counts_for_sons_first_occupation"
] | [
true,
true,
true,
true,
false
] | 197 |
4,875 | mean_absolute_error | mean_absolute_error | analcatdata_michiganacc | **Author**: Jeffrey S. Simonoff
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2003
**Please cite**: Jeffrey S. Simonoff. Analyzing Categorical Data. Springer-Verlag, New York, 2003
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2... | {0: [0 - Time_index (numeric)],
1: [1 - Season (nominal)],
2: [2 - Month (nominal)],
3: [3 - Unemployment_rate (numeric)],
4: [4 - Accidents (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 12.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 108.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 2.0,
'cost... | analcatdata_michiganacc | [
"Season",
"Month",
"Unemployment_rate"
] | [
true,
true,
false
] | 198 |
4,864 | mean_absolute_error | mean_absolute_error | analcatdata_galapagos | **Author**: Jeffrey S. Simonoff
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2003
**Please cite**: Jeffrey S. Simonoff. Analyzing Categorical Data. Springer-Verlag, New York, 2003
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2... | {0: [0 - Island (nominal)],
1: [1 - Observed.species (numeric)],
2: [2 - Native.species (numeric)],
3: [3 - Area(km^2) (numeric)],
4: [4 - Elevation(m) (numeric)],
5: [5 - Distance.nearest.island(km) (numeric)],
6: [6 - Distance.Santa.Cruz(km) (numeric)],
7: [7 - Area.adj.island(km^2) (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 30.0,
'NumberOfInstancesWithMissingValues': 6.0,
'NumberOfMissingValues': 6.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | analcatdata_galapagos | [
"Native.species",
"Area(km^2)",
"Elevation(m)",
"Distance.nearest.island(km)",
"Distance.Santa.Cruz(km)",
"Area.adj.island(km^2)"
] | [
false,
false,
false,
false,
false,
false
] | 199 |
4,877 | mean_absolute_error | mean_absolute_error | kidney | **Author**: McGilchrist and Aisbett
**Source**: [StatLib](http://lib.stat.cmu.edu/datasets/) - 1999
**Please cite**:
Data on the recurrence times to infection, at the point of insertion of the catheter, for kidney patients using portable dialysis equipment. Catheters may be removed for reasons other than infect... | {0: [0 - patient (numeric)],
1: [1 - time (numeric)],
2: [2 - status (nominal)],
3: [3 - age (numeric)],
4: [4 - sex (nominal)],
5: [5 - disease_type (nominal)],
6: [6 - frailty (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 76.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 3.0,
'cost_m... | kidney | [
"patient",
"time",
"status",
"age",
"sex",
"disease_type"
] | [
false,
false,
true,
false,
true,
true
] | 200 |
4,874 | mean_absolute_error | mean_absolute_error | quake | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
smoothmeth A collection of the data sets used in the book "Smoothing
Methods in Statistics," by Jeffrey S. Simonoff,
Springer-Verlag, New York, 1996. Submitted by Jeff
Simonoff (jsimonoff@stern.nyu.edu).
This submission... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 2178.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | quake | [
"col_1",
"col_2",
"col_3"
] | [
false,
false,
false
] | 201 |
4,804 | mean_absolute_error | mean_absolute_error | mtp2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 274.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
... | mtp2 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 202 |
4,871 | mean_absolute_error | mean_absolute_error | sensory | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Data for the sensory evaluation experiment in Brien, C.J. and Payne,
R.W. (1996) Tiers, structure formulae and the analysis of complicated
experiments. submitted for publication.
The experiment involved two phases. In the field phase a viticultu... | {0: [0 - Occasion (nominal)],
1: [1 - Judges (nominal)],
2: [2 - Interval (nominal)],
3: [3 - Sittings (nominal)],
4: [4 - Position (nominal)],
5: [5 - Squares (nominal)],
6: [6 - Rows (nominal)],
7: [7 - Columns (nominal)],
8: [8 - Halfplot (nominal)],
9: [9 - Trellis (nominal)],
10: [10 - Method (nominal)],... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 576.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 11.0,
'cos... | sensory | [
"Occasion",
"Judges",
"Interval",
"Sittings",
"Position",
"Squares",
"Rows",
"Columns",
"Halfplot",
"Trellis",
"Method"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true
] | 203 |
4,888 | mean_absolute_error | mean_absolute_error | kdd_coil_2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%
Data-Description %
%%%%%%%%%%%%%%%%%%%
COIL 1999 Competition Data
Data Type
multivariate
Abstract
This data set is from the 1999 Computational Intelligence and Learning
(COIL) competition. The data contains measurements of... | {0: [0 - season (nominal)],
1: [1 - river_size (nominal)],
2: [2 - fluid_velocity (nominal)],
3: [3 - concentration_1 (numeric)],
4: [4 - concentration_2 (numeric)],
5: [5 - concentration_3 (numeric)],
6: [6 - concentration_4 (numeric)],
7: [7 - concentration_5 (numeric)],
8: [8 - concentration_6 (numeric)],
9... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 12.0,
'NumberOfInstances': 316.0,
'NumberOfInstancesWithMissingValues': 34.0,
'NumberOfMissingValues': 56.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 3.0,
'co... | kdd_coil_2 | [
"season",
"river_size",
"fluid_velocity",
"concentration_1",
"concentration_2",
"concentration_3",
"concentration_4",
"concentration_5",
"concentration_6",
"concentration_7",
"concentration_8"
] | [
true,
true,
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 204 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.