uid int64 2 364k | orig_metric stringclasses 30
values | sklearn_metric stringclasses 9
values | dataset_name stringlengths 2 124 | dataset_description stringlengths 3 13k ⌀ | dataset_features stringlengths 41 3.57M | task_description stringlengths 627 762 | task_name stringlengths 2 124 | attribute_names listlengths 0 100k | categorical_indicator listlengths 0 100k | __index_level_0__ int64 0 3.8k |
|---|---|---|---|---|---|---|---|---|---|---|
4,993 | mean_absolute_error | mean_absolute_error | disclosure_x_tampered | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Data Used in "A BAYESIAN APPROACH TO DATA DISCLOSURE: OPTIMAL
INTRUDER BEHAVIOR FOR CONTINUOUS DATA"
by Stephen E. Fienberg, Udi E. Makov, and Ashish P. Sanil
Background:
==========
In this paper we develop an approach to data disclosure in surve... | {0: [0 - Age (numeric)],
1: [1 - Civil (numeric)],
2: [2 - Can/US (numeric)],
3: [3 - Income (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 662.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | disclosure_x_tampered | [
"Age",
"Civil",
"Can/US"
] | [
false,
false,
false
] | 306 |
4,986 | mean_absolute_error | mean_absolute_error | chscase_adopt | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (nominal)],
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': 3.0,
'NumberOfInstances': 39.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 2.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | chscase_adopt | [
"col_2",
"col_3"
] | [
false,
false
] | 307 |
5,002 | mean_absolute_error | mean_absolute_error | chscase_vine1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)],
6: [6 - col_7 (numeric)],
7: [7 - col_8 (numeric)],
8: [8 - col_9 (numeric)],
9: [9 - col_10 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 52.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | chscase_vine1 | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5",
"col_6",
"col_7",
"col_8",
"col_9"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 308 |
4,990 | mean_absolute_error | mean_absolute_error | chscase_census2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)],
6: [6 - col_7 (numeric)],
7: [7 - col_8 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 400.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | chscase_census2 | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5",
"col_6",
"col_7"
] | [
false,
false,
false,
false,
false,
false,
false
] | 309 |
4,773 | mean_absolute_error | mean_absolute_error | us_crime | **Author**:
**Source**: Unknown - 2009
**Please cite**:
Title: Communities and Crime
Abstract: Communities within the United States. The data combines socio-economic data from the 1990 US Census, law enforcement data from the 1990 US LEMAS survey, and crime data from the 1995 FBI UCR.
Data Set Characteri... | {0: [0 - state (numeric)],
1: [1 - county (numeric)],
2: [2 - community (numeric)],
3: [3 - communityname (string)],
4: [4 - fold (numeric)],
5: [5 - population (numeric)],
6: [6 - householdsize (numeric)],
7: [7 - racepctblack (numeric)],
8: [8 - racePctWhite (numeric)],
9: [9 - racePctAsian (numeric)],
10: ... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 128.0,
'NumberOfInstances': 1994.0,
'NumberOfInstancesWithMissingValues': 1871.0,
'NumberOfMissingValues': 39202.0,
'NumberOfNumericFeatures': 127.0,
'NumberOfSymbolicFeatures': ... | us_crime | [
"state",
"county",
"community",
"communityname",
"fold",
"population",
"householdsize",
"racepctblack",
"racePctWhite",
"racePctAsian",
"racePctHisp",
"agePct12t21",
"agePct12t29",
"agePct16t24",
"agePct65up",
"numbUrban",
"pctUrban",
"medIncome",
"pctWWage",
"pctWFarmSelf",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 310 |
4,981 | mean_absolute_error | mean_absolute_error | rabe_266 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file contains data from Regression Analysis By Example, 2nd Edition,
by Samprit Chatterjee and Bertram Price, John Wiley, 1991.
Data sets have names of the form 'rabe.xxx' where xxx is the page number
in the book where the data occurs.
For a... | {0: [0 - col_1 (numeric)], 1: [1 - col_2 (numeric)], 2: [2 - col_3 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 120.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | rabe_266 | [
"col_1",
"col_2"
] | [
false,
false
] | 311 |
4,984 | mean_absolute_error | mean_absolute_error | rmftsa_ladata | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Data Sets for 'Regression Models for Time Series Analysis' by
B. Kedem and K. Fokianos, Wiley 2002. Submitted by Kostas
Fokianos (fokianos@ucy.ac.cy) [8/Nov/02] (176k)
Note: - attribute names were generated manually
- information about data taken... | {0: [0 - Total_Mortality (numeric)],
1: [1 - Respiratory_Mortality (numeric)],
2: [2 - Cardiovascular_Mortality (numeric)],
3: [3 - Temperature (numeric)],
4: [4 - Relative_Humidity (numeric)],
5: [5 - Carbon_Monoxide (numeric)],
6: [6 - Sulfur_Dioxideglm.LAshumway (numeric)],
7: [7 - Nitrogen_Dioxide (numeric)]... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 508.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | rmftsa_ladata | [
"Total_Mortality",
"Cardiovascular_Mortality",
"Temperature",
"Relative_Humidity",
"Carbon_Monoxide",
"Sulfur_Dioxideglm.LAshumway",
"Nitrogen_Dioxide",
"Hydrocarbons",
"Ozone",
"Particulates"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 312 |
4,991 | mean_absolute_error | mean_absolute_error | chscase_demand | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_5 (numeric)],
4: [4 - col_6 (numeric)],
5: [5 - col_7 (numeric)],
6: [6 - col_8 (numeric)],
7: [7 - col_9 (numeric)],
8: [8 - col_10 (numeric)],
9: [9 - col_11 (numeric)],
10: [10 - col_12 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 27.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | chscase_demand | [
"col_1",
"col_2",
"col_3",
"col_5",
"col_6",
"col_7",
"col_8",
"col_9",
"col_10",
"col_11"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 313 |
4,980 | mean_absolute_error | mean_absolute_error | sleuth_case1102 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Contains 110 data sets from the book 'The Statistical Sleuth'
by Fred Ramsey and Dan Schafer; Duxbury Press, 1997.
(schafer@stat.orst.edu) [14/Oct/97] (172k)
Note: description taken from this web site:
http://lib.stat.cmu.edu/datasets/
File: ../... | {0: [0 - brain (numeric)],
1: [1 - liver (numeric)],
2: [2 - time (numeric)],
3: [3 - treat (nominal)],
4: [4 - days (nominal)],
5: [5 - sex (nominal)],
6: [6 - weight (numeric)],
7: [7 - loss (numeric)],
8: [8 - tumor (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 34.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 3.0,
'cost_m... | sleuth_case1102 | [
"brain",
"liver",
"time",
"treat",
"days",
"sex",
"weight",
"loss"
] | [
false,
false,
false,
true,
true,
true,
false,
false
] | 314 |
4,992 | mean_absolute_error | mean_absolute_error | visualizing_slope | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This S dump contains 22 data sets from the
book Visualizing Data published by
Hobart Press (books@hobart.com).
The dump was created by data.dump()
and can be read back into S by data.restore().
The name of each S data set is the name of
the data s... | {0: [0 - error (numeric)],
1: [1 - percent (numeric)],
2: [2 - distance (numeric)],
3: [3 - resolution (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 44.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | visualizing_slope | [
"error",
"percent",
"distance"
] | [
false,
false,
false
] | 315 |
5,008 | mean_absolute_error | mean_absolute_error | rabe_176 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file contains data from Regression Analysis By Example, 2nd Edition,
by Samprit Chatterjee and Bertram Price, John Wiley, 1991.
Data sets have names of the form 'rabe.xxx' where xxx is the page number
in the book where the data occurs.
For a... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 70.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | rabe_176 | [
"col_2",
"col_3",
"col_4"
] | [
false,
false,
false
] | 317 |
5,001 | mean_absolute_error | mean_absolute_error | visualizing_galaxy | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This S dump contains 22 data sets from the
book Visualizing Data published by
Hobart Press (books@hobart.com).
The dump was created by data.dump()
and can be read back into S by data.restore().
The name of each S data set is the name of
the data s... | {0: [0 - eastwest (numeric)],
1: [1 - northsouth (numeric)],
2: [2 - angle (numeric)],
3: [3 - radialposition (numeric)],
4: [4 - velocity (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 323.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | visualizing_galaxy | [
"eastwest",
"northsouth",
"angle",
"radialposition"
] | [
false,
false,
false,
false
] | 318 |
4,997 | mean_absolute_error | mean_absolute_error | rmftsa_ctoarrivals | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Data Sets for 'Regression Models for Time Series Analysis' by
B. Kedem and K. Fokianos, Wiley 2002. Submitted by Kostas
Fokianos (fokianos@ucy.ac.cy) [8/Nov/02] (176k)
Note: - attribute names were generated manually
- information about data taken... | {0: [0 - year (numeric)], 1: [1 - month (nominal)], 2: [2 - arrivals (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 12.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 264.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | rmftsa_ctoarrivals | [
"year",
"month"
] | [
false,
true
] | 319 |
4,977 | mean_absolute_error | mean_absolute_error | fri_c3_250_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 26.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c3_250_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 320 |
5,014 | mean_absolute_error | mean_absolute_error | sleuth_case1202 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Contains 110 data sets from the book 'The Statistical Sleuth'
by Fred Ramsey and Dan Schafer; Duxbury Press, 1997.
(schafer@stat.orst.edu) [14/Oct/97] (172k)
Note: description taken from this web site:
http://lib.stat.cmu.edu/datasets/
File: ../... | {0: [0 - bsal (numeric)],
1: [1 - sal77 (numeric)],
2: [2 - fsex (nominal)],
3: [3 - senior (numeric)],
4: [4 - age (numeric)],
5: [5 - educ (nominal)],
6: [6 - exper (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 93.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_m... | sleuth_case1202 | [
"bsal",
"sal77",
"fsex",
"senior",
"age",
"educ"
] | [
false,
false,
true,
false,
false,
true
] | 321 |
5,013 | mean_absolute_error | mean_absolute_error | disclosure_x_noise | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Data Used in "A BAYESIAN APPROACH TO DATA DISCLOSURE: OPTIMAL
INTRUDER BEHAVIOR FOR CONTINUOUS DATA"
by Stephen E. Fienberg, Udi E. Makov, and Ashish P. Sanil
Background:
==========
In this paper we develop an approach to data disclosure in surve... | {0: [0 - Age (numeric)],
1: [1 - Civil (numeric)],
2: [2 - Can/US (numeric)],
3: [3 - Income (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 662.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | disclosure_x_noise | [
"Age",
"Civil",
"Can/US"
] | [
false,
false,
false
] | 322 |
5,012 | mean_absolute_error | mean_absolute_error | chscase_foot | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (nominal)],
1: [1 - col_2 (nominal)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 297.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 526.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 2.0,
'cos... | chscase_foot | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5"
] | [
true,
true,
false,
false,
false
] | 323 |
5,000 | mean_absolute_error | mean_absolute_error | chscase_vine2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)], 1: [1 - col_2 (numeric)], 2: [2 - col_3 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 468.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | chscase_vine2 | [
"col_1",
"col_2"
] | [
false,
false
] | 324 |
5,007 | mean_absolute_error | mean_absolute_error | rabe_97 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file contains data from Regression Analysis By Example, 2nd Edition,
by Samprit Chatterjee and Bertram Price, John Wiley, 1991.
Data sets have names of the form 'rabe.xxx' where xxx is the page number
in the book where the data occurs.
For a... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (nominal)],
4: [4 - col_5 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 46.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_m... | rabe_97 | [
"col_2",
"col_3",
"col_4"
] | [
false,
false,
true
] | 326 |
5,005 | mean_absolute_error | mean_absolute_error | chatfield_4 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file is a text file giving details about the time series analysed
in 'The Analysis of Time Series' by Chris Chatfield.
The 5th edn was published in 1996 and the 6th edn in 2003.
The series are listed separately at the author's home web site a... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)],
6: [6 - col_7 (numeric)],
7: [7 - col_8 (numeric)],
8: [8 - col_9 (numeric)],
9: [9 - col_10 (numeric)],
10: [10 - col_11 (numeric)],
11: [11 - col_12 (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 13.0,
'NumberOfInstances': 235.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | chatfield_4 | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5",
"col_6",
"col_7",
"col_8",
"col_9",
"col_10",
"col_11",
"col_12"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 327 |
4,988 | mean_absolute_error | mean_absolute_error | chscase_census4 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)],
6: [6 - col_7 (numeric)],
7: [7 - col_8 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 400.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | chscase_census4 | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5",
"col_6",
"col_7"
] | [
false,
false,
false,
false,
false,
false,
false
] | 328 |
4,995 | mean_absolute_error | mean_absolute_error | hutsof99_logis | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Graeme D. Hutcheson and Nick Sofroniou 1999
The Multivariate Social Scientist:
Introductory Statistics Using Generalized Linear Models.
SAGE Publications.
Copyright: Graeme D. Hutcheson & Nick Sofroniou, 1999
This software can be freely used f... | {0: [0 - Age (nominal)],
1: [1 - Gender (nominal)],
2: [2 - Location (nominal)],
3: [3 - Coherence (numeric)],
4: [4 - Maturity (numeric)],
5: [5 - Delay (numeric)],
6: [6 - Prosecute (nominal)],
7: [7 - Quality (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 70.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 4.0,
'cost_m... | hutsof99_logis | [
"Age",
"Gender",
"Location",
"Coherence",
"Maturity",
"Delay",
"Prosecute"
] | [
true,
true,
true,
false,
false,
false,
true
] | 329 |
5,006 | mean_absolute_error | mean_absolute_error | hutsof99_child_witness | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Graeme D. Hutcheson and Nick Sofroniou 1999
The Multivariate Social Scientist:
Introductory Statistics Using Generalized Linear Models.
SAGE Publications.
Copyright: Graeme D. Hutcheson & Nick Sofroniou, 1999
This software can be freely used f... | {0: [0 - subj (numeric)],
1: [1 - Q1 (numeric)],
2: [2 - Q2 (numeric)],
3: [3 - Q3 (numeric)],
4: [4 - Q4 (numeric)],
5: [5 - Q5 (numeric)],
6: [6 - Q6 (numeric)],
7: [7 - Q7 (numeric)],
8: [8 - Q8 (numeric)],
9: [9 - Q9 (numeric)],
10: [10 - Q10 (numeric)],
11: [11 - Q11 (numeric)],
12: [12 - Q12 (numeric)... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 16.0,
'NumberOfInstances': 42.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 16.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | hutsof99_child_witness | [
"Q1",
"Q2",
"Q3",
"Q4",
"Q5",
"Q6",
"Q7",
"Q8",
"Q9",
"Q10",
"Q11",
"Q12",
"Q13",
"Q14",
"comp"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 330 |
4,976 | mean_absolute_error | mean_absolute_error | fri_c2_250_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting
The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".
Friedman is the one of the most... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | fri_c2_250_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 331 |
5,010 | mean_absolute_error | mean_absolute_error | chscase_whale | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_6 (numeric)],
5: [5 - col_7 (numeric)],
6: [6 - col_8 (numeric)],
7: [7 - col_9 (numeric)],
8: [8 - col_10 (numeric)],
9: [9 - col_12 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 228.0,
'NumberOfInstancesWithMissingValues': 5.0,
'NumberOfMissingValues': 25.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | chscase_whale | [
"col_2",
"col_3",
"col_4",
"col_6",
"col_7",
"col_8",
"col_9",
"col_10"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 332 |
5,016 | mean_absolute_error | mean_absolute_error | visualizing_hamster | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This S dump contains 22 data sets from the
book Visualizing Data published by
Hobart Press (books@hobart.com).
The dump was created by data.dump()
and can be read back into S by data.restore().
The name of each S data set is the name of
the data s... | {0: [0 - lung (numeric)],
1: [1 - heart (numeric)],
2: [2 - liver (numeric)],
3: [3 - spleen (numeric)],
4: [4 - kidney (numeric)],
5: [5 - testes (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 73.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | visualizing_hamster | [
"lung",
"heart",
"liver",
"spleen",
"kidney"
] | [
false,
false,
false,
false,
false
] | 333 |
5,018 | mean_absolute_error | mean_absolute_error | rabe_148 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file contains data from Regression Analysis By Example, 2nd Edition,
by Samprit Chatterjee and Bertram Price, John Wiley, 1991.
Data sets have names of the form 'rabe.xxx' where xxx is the page number
in the book where the data occurs.
For a... | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)],
5: [5 - col_6 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 66.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | rabe_148 | [
"col_1",
"col_2",
"col_3",
"col_4",
"col_5"
] | [
false,
false,
false,
false,
false
] | 334 |
5,020 | mean_absolute_error | mean_absolute_error | chscase_geyser1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
File README
-----------
chscase A collection of the data sets used in the book
"A Casebook for a First Course in Statistics and Data Analysis,"
by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
John Wiley and Sons, New York, 1995.... | {0: [0 - col_1 (numeric)], 1: [1 - col_2 (numeric)], 2: [2 - col_3 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 222.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | chscase_geyser1 | [
"col_1",
"col_2"
] | [
false,
false
] | 335 |
5,017 | mean_absolute_error | mean_absolute_error | disclosure_x_bias | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Data Used in "A BAYESIAN APPROACH TO DATA DISCLOSURE: OPTIMAL
INTRUDER BEHAVIOR FOR CONTINUOUS DATA"
by Stephen E. Fienberg, Udi E. Makov, and Ashish P. Sanil
Background:
==========
In this paper we develop an approach to data disclosure in surve... | {0: [0 - Age (numeric)],
1: [1 - Civil (numeric)],
2: [2 - Can/US (numeric)],
3: [3 - Income (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 662.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | disclosure_x_bias | [
"Age",
"Civil",
"Can/US"
] | [
false,
false,
false
] | 336 |
4,999 | mean_absolute_error | mean_absolute_error | visualizing_soil | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This S dump contains 22 data sets from the
book Visualizing Data published by
Hobart Press (books@hobart.com).
The dump was created by data.dump()
and can be read back into S by data.restore().
The name of each S data set is the name of
the data s... | {0: [0 - northing (numeric)],
1: [1 - easting (numeric)],
2: [2 - resistivity (numeric)],
3: [3 - isns (nominal)],
4: [4 - track (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 8641.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | visualizing_soil | [
"northing",
"easting",
"resistivity",
"isns"
] | [
false,
false,
false,
true
] | 337 |
5,019 | mean_absolute_error | mean_absolute_error | visualizing_ethanol | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This S dump contains 22 data sets from the
book Visualizing Data published by
Hobart Press (books@hobart.com).
The dump was created by data.dump()
and can be read back into S by data.restore().
The name of each S data set is the name of
the data s... | {0: [0 - NOx (numeric)], 1: [1 - C (numeric)], 2: [2 - E (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 88.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | visualizing_ethanol | [
"NOx",
"C"
] | [
false,
false
] | 339 |
5,009 | mean_absolute_error | mean_absolute_error | disclosure_z | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Data Used in "A BAYESIAN APPROACH TO DATA DISCLOSURE: OPTIMAL
INTRUDER BEHAVIOR FOR CONTINUOUS DATA"
by Stephen E. Fienberg, Udi E. Makov, and Ashish P. Sanil
Background:
==========
In this paper we develop an approach to data disclosure in surve... | {0: [0 - Age (numeric)],
1: [1 - Civil (numeric)],
2: [2 - Can/US (numeric)],
3: [3 - Income (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 662.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | disclosure_z | [
"Age",
"Civil",
"Can/US"
] | [
false,
false,
false
] | 340 |
5,015 | mean_absolute_error | mean_absolute_error | sleuth_case1201 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Contains 110 data sets from the book 'The Statistical Sleuth'
by Fred Ramsey and Dan Schafer; Duxbury Press, 1997.
(schafer@stat.orst.edu) [14/Oct/97] (172k)
Note: description taken from this web site:
http://lib.stat.cmu.edu/datasets/
File: ../... | {0: [0 - state (nominal)],
1: [1 - sat (numeric)],
2: [2 - takers (numeric)],
3: [3 - income (numeric)],
4: [4 - years (numeric)],
5: [5 - public (numeric)],
6: [6 - expend (numeric)],
7: [7 - rank (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 50.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | sleuth_case1201 | [
"sat",
"takers",
"income",
"years",
"public",
"expend"
] | [
false,
false,
false,
false,
false,
false
] | 341 |
5,029 | mean_absolute_error | mean_absolute_error | qqdefects_numeric | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a PROMISE Software Engineering Repository data set made publicly
available in order to encourage repeatable, verifiable, refutable, and/or
improvable predictive mod... | {0: [0 - S1 (nominal)],
1: [1 - S2 (nominal)],
2: [2 - S3 (nominal)],
3: [3 - S4 (nominal)],
4: [4 - S5 (nominal)],
5: [5 - S6 (nominal)],
6: [6 - S7 (nominal)],
7: [7 - F1 (nominal)],
8: [8 - F2 (nominal)],
9: [9 - F3 (nominal)],
10: [10 - D1 (nominal)],
11: [11 - D2 (nominal)],
12: [12 - D3 (nominal)],
1... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 31.0,
'NumberOfInstances': 31.0,
'NumberOfInstancesWithMissingValues': 29.0,
'NumberOfMissingValues': 33.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 28.0,
'co... | qqdefects_numeric | [
"S1",
"S2",
"S3",
"S4",
"S5",
"S6",
"S7",
"F1",
"F2",
"F3",
"D1",
"D2",
"D3",
"D4",
"T1",
"T2",
"T3",
"T4",
"P1",
"P2",
"P3",
"P4",
"P5",
"P6",
"P7",
"P8",
"P9",
"E",
"K",
"L"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false,
false,
true
] | 342 |
5,021 | mean_absolute_error | mean_absolute_error | ESL | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
1. Title: Employee Selection (Ordinal ESL)
2. Source Informaion:
Donor: Arie Ben David
MIS, Dept. of Technology Management
Holon Academic Inst. of Technology
52 Golomb St.
Holon 58102
Israel
abendav@hait.ac.il
Owner: Yoav Ganzah
Business Administ... | {0: [0 - in1 (numeric)],
1: [1 - in2 (numeric)],
2: [2 - in3 (numeric)],
3: [3 - in4 (numeric)],
4: [4 - out1 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 488.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | ESL | [
"in1",
"in2",
"in3",
"in4"
] | [
false,
false,
false,
false
] | 343 |
5,011 | mean_absolute_error | mean_absolute_error | sleuth_ex1221 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Contains 110 data sets from the book 'The Statistical Sleuth'
by Fred Ramsey and Dan Schafer; Duxbury Press, 1997.
(schafer@stat.orst.edu) [14/Oct/97] (172k)
Note: description taken from this web site:
http://lib.stat.cmu.edu/datasets/
File: ../... | {0: [0 - river (nominal)],
1: [1 - country (nominal)],
2: [2 - discharge (numeric)],
3: [3 - runoff (numeric)],
4: [4 - area (numeric)],
5: [5 - density (numeric)],
6: [6 - no3 (numeric)],
7: [7 - export (numeric)],
8: [8 - dep (numeric)],
9: [9 - nprec (numeric)],
10: [10 - prec (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 26.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 42.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 1.0,
'cost... | sleuth_ex1221 | [
"country",
"discharge",
"runoff",
"area",
"density",
"no3",
"export",
"dep",
"nprec"
] | [
true,
false,
false,
false,
false,
false,
false,
false,
false
] | 344 |
5,030 | mean_absolute_error | mean_absolute_error | nasa_numeric | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%-*- text -*-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a PROMISE Software Engineering Repository data set made publicly
available in order to encourage repeatable, verifiable, refutable, and/or
improvable p... | {0: [0 - recordnumber (numeric)],
1: [1 - projectname (nominal)],
2: [2 - cat2 (nominal)],
3: [3 - forg (nominal)],
4: [4 - center (nominal)],
5: [5 - year (numeric)],
6: [6 - mode (nominal)],
7: [7 - rely (nominal)],
8: [8 - data (nominal)],
9: [9 - cplx (nominal)],
10: [10 - time (nominal)],
11: [11 - stor... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 14.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 24.0,
'NumberOfInstances': 93.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 20.0,
'cos... | nasa_numeric | [
"recordnumber",
"projectname",
"cat2",
"forg",
"center",
"year",
"mode",
"rely",
"data",
"cplx",
"time",
"stor",
"virt",
"turn",
"acap",
"aexp",
"pcap",
"vexp",
"lexp",
"modp",
"tool",
"sced",
"equivphyskloc"
] | [
false,
true,
true,
true,
true,
false,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false
] | 345 |
4,998 | mean_absolute_error | mean_absolute_error | sleuth_ex1605 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Contains 110 data sets from the book 'The Statistical Sleuth'
by Fred Ramsey and Dan Schafer; Duxbury Press, 1997.
(schafer@stat.orst.edu) [14/Oct/97] (172k)
Note: description taken from this web site:
http://lib.stat.cmu.edu/datasets/
File: ../... | {0: [0 - FMED (numeric)],
1: [1 - TMIQ (numeric)],
2: [2 - Age2IQ (numeric)],
3: [3 - Age4IQ (numeric)],
4: [4 - Age8IQ (numeric)],
5: [5 - Age13IQ (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 62.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | sleuth_ex1605 | [
"FMED",
"TMIQ",
"Age2IQ",
"Age4IQ",
"Age8IQ"
] | [
false,
false,
false,
false,
false
] | 346 |
5,037 | mean_absolute_error | mean_absolute_error | FacultySalaries | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand.
Source: TunedIT: http://tunedit.org/repo/DASL
DASL file http://lib.stat.cmu.edu/DASL/Datafiles/FacultySalari... | {0: [0 - University (nominal)],
1: [1 - CIC.institutions (numeric)],
2: [2 - average.salary (numeric)],
3: [3 - full.prof.salary (numeric)],
4: [4 - assoc.prof.salary (numeric)],
5: [5 - asst.prof.salary (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 50.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | FacultySalaries | [
"CIC.institutions",
"average.salary",
"full.prof.salary",
"assoc.prof.salary"
] | [
false,
false,
false,
false
] | 347 |
5,048 | mean_absolute_error | mean_absolute_error | auto_price | **Author**:
**Source**: Unknown -
**Please cite**:
This data set consists of three types of entities:
(a) the specification of an auto in terms of various characteristics;
(b) its assigned insurance risk rating,;
(c) its normalized losses in use as compared to other cars.
The second rating corresponds to... | {0: [0 - symboling (nominal)],
1: [1 - normalized-losses (numeric)],
2: [2 - wheel-base (numeric)],
3: [3 - length (numeric)],
4: [4 - width (numeric)],
5: [5 - height (numeric)],
6: [6 - curb-weight (numeric)],
7: [7 - engine-size (numeric)],
8: [8 - bore (numeric)],
9: [9 - stroke (numeric)],
10: [10 - comp... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 16.0,
'NumberOfInstances': 159.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | auto_price | [
"symboling",
"normalized-losses",
"wheel-base",
"length",
"width",
"height",
"curb-weight",
"engine-size",
"bore",
"stroke",
"compression-ratio",
"horsepower",
"peak-rpm",
"city-mpg",
"highway-mpg"
] | [
true,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 348 |
5,026 | mean_absolute_error | mean_absolute_error | cocomo_numeric | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%-*- text -*-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a PROMISE Software Engineering Repository data set made publicly
available in order to encourage repeatable, verifiable, refutable, and/or
improvable p... | {0: [0 - RELY (nominal)],
1: [1 - DATA (nominal)],
2: [2 - CPLX (nominal)],
3: [3 - TIME (nominal)],
4: [4 - STOR (nominal)],
5: [5 - VIRT (nominal)],
6: [6 - TURN (nominal)],
7: [7 - ACAP (nominal)],
8: [8 - AEXP (nominal)],
9: [9 - PCAP (nominal)],
10: [10 - VEXP (nominal)],
11: [11 - LEXP (nominal)],
12:... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 17.0,
'NumberOfInstances': 60.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 15.0,
'cost... | cocomo_numeric | [
"RELY",
"DATA",
"CPLX",
"TIME",
"STOR",
"VIRT",
"TURN",
"ACAP",
"AEXP",
"PCAP",
"VEXP",
"LEXP",
"MODP",
"TOOL",
"SCED",
"LOC"
] | [
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
true,
false
] | 350 |
5,039 | mean_absolute_error | mean_absolute_error | pubexpendat | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand.
Source: TunedIT: http://tunedit.org/repo/DASL
DASL file http://lib.stat.cmu.edu/DASL/Datafiles/pubexpendat.h... | {0: [0 - EX (numeric)],
1: [1 - ECAB (numeric)],
2: [2 - MET (numeric)],
3: [3 - GROW (numeric)],
4: [4 - YOUNG (numeric)],
5: [5 - OLD (numeric)],
6: [6 - WEST (numeric)],
7: [7 - STATE (nominal)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 48.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_m... | pubexpendat | [
"ECAB",
"MET",
"GROW",
"YOUNG",
"OLD",
"WEST"
] | [
false,
false,
false,
false,
false,
false
] | 351 |
5,028 | mean_absolute_error | mean_absolute_error | kc1-numeric | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a PROMISE Software Engineering Repository data set made publicly
available in order to encourage repeatable, verifiable, refutable, and/or
improvable predictive mode... | {0: [0 - PERCENT_PUB_DATA (numeric)],
1: [1 - ACCESS_TO_PUB_DATA (numeric)],
2: [2 - COUPLING_BETWEEN_OBJECTS (numeric)],
3: [3 - DEPTH (numeric)],
4: [4 - LACK_OF_COHESION_OF_METHODS (numeric)],
5: [5 - NUM_OF_CHILDREN (numeric)],
6: [6 - DEP_ON_CHILD (numeric)],
7: [7 - FAN_IN (numeric)],
8: [8 - RESPONSE_FOR... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 95.0,
'NumberOfInstances': 145.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 95.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | kc1-numeric | [
"PERCENT_PUB_DATA",
"ACCESS_TO_PUB_DATA",
"COUPLING_BETWEEN_OBJECTS",
"DEPTH",
"LACK_OF_COHESION_OF_METHODS",
"NUM_OF_CHILDREN",
"DEP_ON_CHILD",
"FAN_IN",
"RESPONSE_FOR_CLASS",
"WEIGHTED_METHODS_PER_CLASS",
"minLOC_BLANK",
"minBRANCH_COUNT",
"minLOC_CODE_AND_COMMENT",
"minLOC_COMMENTS",
... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 352 |
4,996 | mean_absolute_error | mean_absolute_error | rabe_166 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This file contains data from Regression Analysis By Example, 2nd Edition,
by Samprit Chatterjee and Bertram Price, John Wiley, 1991.
Data sets have names of the form 'rabe.xxx' where xxx is the page number
in the book where the data occurs.
For a... | {0: [0 - col_1 (numeric)], 1: [1 - col_2 (numeric)], 2: [2 - col_3 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 40.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | rabe_166 | [
"col_2"
] | [
false
] | 353 |
5,036 | mean_absolute_error | mean_absolute_error | Acorns | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand.
Source: TunedIT: http://tunedit.org/repo/DASL
DASL file http://lib.stat.cmu.edu/DASL/Datafiles/Acorns.html
... | {0: [0 - Species (nominal)],
1: [1 - Region (nominal)],
2: [2 - Range (numeric)],
3: [3 - Acorn_size (numeric)],
4: [4 - Tree_Height (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 39.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_m... | Acorns | [
"Region",
"Range",
"Tree_Height"
] | [
true,
false,
false
] | 354 |
5,027 | mean_absolute_error | mean_absolute_error | humans_numeric | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1. Title: Assessing the Reliability of a Human Estimator
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This is a PROMISE Software Engineering Re... | {0: [0 - Numeric Degree (numeric)],
1: [1 - TechUGCourses (numeric)],
2: [2 - TechGCourses (numeric)],
3: [3 - MgmtUGCourses (numeric)],
4: [4 - MgmtGCourses (numeric)],
5: [5 - Total Workshops (numeric)],
6: [6 - Total Conferences (numeric)],
7: [7 - TotalLangExp (numeric)],
8: [8 - Hardware Proj Mgmt Exp (num... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 15.0,
'NumberOfInstances': 75.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | humans_numeric | [
"Numeric Degree",
"TechUGCourses",
"TechGCourses",
"MgmtUGCourses",
"MgmtGCourses",
"Total Workshops",
"Total Conferences",
"TotalLangExp",
"Hardware Proj Mgmt Exp",
"Software Proj Mgmt Exp",
"No Of Hardware Proj Estimated",
"No Of Software Proj Estimated",
"Domain Exp",
"Procurement Indus... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 355 |
5,053 | mean_absolute_error | mean_absolute_error | sleep | **Author**:
**Source**: Unknown -
**Please cite**:
Data from StatLib (ftp stat.cmu.edu/datasets)
Data from which conclusions were drawn in the article "Sleep in
Mammals: Ecological and Constitutional Correlates" by Allison, T. and
Cicchetti, D. (1976), _Science_, November 12, vol. 194, pp. 732... | {0: [0 - body_weight (numeric)],
1: [1 - brain_weight (numeric)],
2: [2 - max_life_span (numeric)],
3: [3 - gestation_time (numeric)],
4: [4 - predation_index (numeric)],
5: [5 - sleep_exposure_index (numeric)],
6: [6 - danger_index (numeric)],
7: [7 - total_sleep (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 62.0,
'NumberOfInstancesWithMissingValues': 11.0,
'NumberOfMissingValues': 12.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | sleep | [
"body_weight",
"brain_weight",
"max_life_span",
"gestation_time",
"predation_index",
"sleep_exposure_index",
"total_sleep"
] | [
false,
false,
false,
false,
false,
false,
false
] | 356 |
5,047 | mean_absolute_error | mean_absolute_error | cleveland | **Author**: Andras Janosi, M.D.
Donor: David W. Aha (aha@ics.uci.edu)
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Heart+Disease) - July 1988
**Please cite**: The author request that any publications resulting from the use of the data include the name of the author.
**Heart Disease Databases: Clevel... | {0: [0 - age (numeric)],
1: [1 - sex (nominal)],
2: [2 - cp (nominal)],
3: [3 - trestbps (numeric)],
4: [4 - chol (numeric)],
5: [5 - fbs (nominal)],
6: [6 - restecg (nominal)],
7: [7 - thalach (numeric)],
8: [8 - exang (nominal)],
9: [9 - oldpeak (numeric)],
10: [10 - slope (nominal)],
11: [11 - ca (numeric... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 303.0,
'NumberOfInstancesWithMissingValues': 6.0,
'NumberOfMissingValues': 6.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 7.0,
'cost... | cleveland | [
"age",
"sex",
"cp",
"trestbps",
"chol",
"fbs",
"restecg",
"thalach",
"exang",
"oldpeak",
"slope",
"ca",
"thal"
] | [
false,
true,
true,
false,
false,
true,
true,
false,
true,
false,
true,
false,
true
] | 357 |
5,025 | mean_absolute_error | mean_absolute_error | ESL | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
1. Title: Employee Selection (Ordinal ESL)
2. Source Informaion:
Donor: Arie Ben David
MIS, Dept. of Technology Management
Holon Academic Inst. of Technology
52 Golomb St.
Holon 58102
Israel
abendav@hait.ac.il
Owner: Yoav Ganzah
Business Administ... | {0: [0 - in1 (numeric)],
1: [1 - in2 (numeric)],
2: [2 - in3 (numeric)],
3: [3 - in4 (numeric)],
4: [4 - out1 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 488.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_... | ESL | [
"in1",
"in2",
"in3",
"in4"
] | [
false,
false,
false,
false
] | 358 |
5,043 | mean_absolute_error | mean_absolute_error | mbagrade | **Author**:
**Source**: Unknown -
**Please cite**:
Dataset from Smoothing Methods in Statistics
(ftp stat.cmu.edu/datasets)
Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. | {0: [0 - sex (nominal)],
1: [1 - GMAT (numeric)],
2: [2 - grade_point_average (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 61.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_m... | mbagrade | [
"sex",
"GMAT"
] | [
true,
false
] | 359 |
5,056 | mean_absolute_error | mean_absolute_error | quake | **Author**:
**Source**: Unknown -
**Please cite**:
Dataset from Smoothing Methods in Statistics
(ftp stat.cmu.edu/datasets)
Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. | {0: [0 - focal_depth (numeric)],
1: [1 - latitude (numeric)],
2: [2 - longitude (numeric)],
3: [3 - richter (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 2178.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | quake | [
"focal_depth",
"latitude",
"longitude"
] | [
false,
false,
false
] | 360 |
5,024 | mean_absolute_error | mean_absolute_error | ERA | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
1. Title: Employee Rejection\Acceptance (Orinal ERA)
2. Source Informaion:
Donor: Arie Ben David
MIS, Dept. of Technology Management
Holon Academic Inst. of Technology
52 Golomb St.
Holon 58102
Israel
abendav@hait.ac.il
Owner: Yoav Ganzah
Busine... | {0: [0 - in1 (numeric)],
1: [1 - in2 (numeric)],
2: [2 - in3 (numeric)],
3: [3 - in4 (numeric)],
4: [4 - out1 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | ERA | [
"in1",
"in2",
"in3",
"in4"
] | [
false,
false,
false,
false
] | 361 |
5,034 | mean_absolute_error | mean_absolute_error | Crash | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand.
Source: TunedIT: http://tunedit.org/repo/DASL
DASL file http://lib.stat.cmu.edu/DASL/Datafiles/Crash.html
C... | {0: [0 - make (nominal)],
1: [1 - Model (string)],
2: [2 - carID (nominal)],
3: [3 - carID_and_Year (nominal)],
4: [4 - Head_IC (numeric)],
5: [5 - Chest_decel (numeric)],
6: [6 - L_Leg (numeric)],
7: [7 - R_Leg (numeric)],
8: [8 - D_P (nominal)],
9: [9 - Protection (nominal)],
10: [10 - Doors (numeric)],
11... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 174.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 13.0,
'NumberOfInstances': 352.0,
'NumberOfInstancesWithMissingValues': 89.0,
'NumberOfMissingValues': 109.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 6.0,
... | Crash | [
"make",
"carID",
"carID_and_Year",
"Chest_decel",
"L_Leg",
"R_Leg",
"D_P",
"Protection",
"Doors",
"Year",
"Wt",
"Size"
] | [
true,
true,
true,
false,
false,
false,
true,
true,
false,
false,
false,
true
] | 362 |
5,052 | mean_absolute_error | mean_absolute_error | cholesterol | **Author**:
**Source**: Unknown -
**Please cite**:
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Cholesterol treated as the class attribute.
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
using instance-based learning with encoding length selection. ... | {0: [0 - age (numeric)],
1: [1 - sex (nominal)],
2: [2 - cp (nominal)],
3: [3 - trestbps (numeric)],
4: [4 - fbs (nominal)],
5: [5 - restecg (nominal)],
6: [6 - thalach (numeric)],
7: [7 - exang (nominal)],
8: [8 - oldpeak (numeric)],
9: [9 - slope (nominal)],
10: [10 - ca (numeric)],
11: [11 - thal (nominal... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 303.0,
'NumberOfInstancesWithMissingValues': 6.0,
'NumberOfMissingValues': 6.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 7.0,
'cost... | cholesterol | [
"age",
"sex",
"cp",
"trestbps",
"fbs",
"restecg",
"thalach",
"exang",
"oldpeak",
"slope",
"ca",
"thal",
"num"
] | [
false,
true,
true,
false,
true,
true,
false,
true,
false,
true,
false,
true,
false
] | 363 |
5,055 | mean_absolute_error | mean_absolute_error | detroit | **Author**:
**Source**: Unknown -
**Please cite**:
Data from StatLib (ftp stat.cmu.edu/datasets)
This is the data set called `DETROIT' in the book `Subset selection in
regression' by Alan J. Miller published in the Chapman & Hall series of
monographs on Statistics & Applied Probability, no. 40. The data... | {0: [0 - FTP (numeric)],
1: [1 - UEMP (numeric)],
2: [2 - MAN (numeric)],
3: [3 - LIC (numeric)],
4: [4 - GR (numeric)],
5: [5 - CLEAR (numeric)],
6: [6 - WM (numeric)],
7: [7 - NMAN (numeric)],
8: [8 - GOV (numeric)],
9: [9 - HE (numeric)],
10: [10 - WE (numeric)],
11: [11 - HOM (numeric)],
12: [12 - ACC (... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 14.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | detroit | [
"FTP",
"UEMP",
"MAN",
"LIC",
"GR",
"CLEAR",
"WM",
"NMAN",
"GOV",
"HE",
"WE",
"HOM",
"ACC"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 364 |
5,044 | mean_absolute_error | mean_absolute_error | wisconsin | **Author**:
**Source**: Unknown -
**Please cite**:
1. Title: Wisconsin Prognostic Breast Cancer (WPBC)
2. Source Information
a) Creators:
Dr. William H. Wolberg, General Surgery Dept., University of
Wisconsin, Clinical Sciences Center, Madison, WI 53792
wolberg@eagle.surgery.wisc.edu
W. Ni... | {0: [0 - lymph_node_status (numeric)],
1: [1 - radius_mean (numeric)],
2: [2 - radius_se (numeric)],
3: [3 - radius_worst (numeric)],
4: [4 - texture_mean (numeric)],
5: [5 - texture_se (numeric)],
6: [6 - texture_worst (numeric)],
7: [7 - perimeter_mean (numeric)],
8: [8 - perimeter_se (numeric)],
9: [9 - per... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 33.0,
'NumberOfInstances': 194.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 33.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | wisconsin | [
"lymph_node_status",
"radius_mean",
"radius_se",
"radius_worst",
"texture_mean",
"texture_se",
"texture_worst",
"perimeter_mean",
"perimeter_se",
"perimeter_worst",
"area_mean",
"area_se",
"area_worst",
"smoothness_mean",
"smoothness_se",
"smoothness_worst",
"compactness_mean",
"co... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 365 |
5,059 | 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
] | 366 |
5,022 | mean_absolute_error | mean_absolute_error | SWD | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
1. Title: Social Workers Decisions (Ordinal SWD)
2. Source Informaion:
Donor: Arie Ben David
MIS, Dept. of Technology Management
Holon Academic Inst. of Technology
52 Golomb St.
Holon 58102
Israel
abendav@hait.ac.il
Owner: Yoav Ganzah
Business Ad... | {0: [0 - In1 (numeric)],
1: [1 - In2 (numeric)],
2: [2 - In3 (numeric)],
3: [3 - In4 (numeric)],
4: [4 - In5 (numeric)],
5: [5 - In6 (numeric)],
6: [6 - In7 (numeric)],
7: [7 - In8 (numeric)],
8: [8 - In9 (numeric)],
9: [9 - In10 (numeric)],
10: [10 - Out1 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 11.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | SWD | [
"In1",
"In2",
"In3",
"In4",
"In5",
"In6",
"In7",
"In8",
"In9",
"In10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 367 |
5,057 | mean_absolute_error | mean_absolute_error | cloud | **Author**:
**Source**: Unknown -
**Please cite**:
Data from StatLib (ftp stat.cmu.edu/datasets)
These data are those collected in a cloud-seeding experiment in Tasmania
between mid-1964 and January 1971. Their analysis, using regression
techniques and permutation tests, is discussed in:
Miller... | {0: [0 - period (numeric)],
1: [1 - seeded (nominal)],
2: [2 - season (nominal)],
3: [3 - NC (numeric)],
4: [4 - SC (numeric)],
5: [5 - NWC (numeric)],
6: [6 - TE (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 108.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 2.0,
'cost_... | cloud | [
"seeded",
"season",
"NC",
"SC",
"NWC"
] | [
true,
true,
false,
false,
false
] | 368 |
5,038 | mean_absolute_error | mean_absolute_error | ICU | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand.
Source: TunedIT: http://tunedit.org/repo/DASL
DASL file http://lib.stat.cmu.edu/DASL/Datafiles/ICU.html
Ref... | {0: [0 - ID (numeric)],
1: [1 - STA (numeric)],
2: [2 - AGE (numeric)],
3: [3 - SEX (numeric)],
4: [4 - RAC (numeric)],
5: [5 - SER (numeric)],
6: [6 - CAN (numeric)],
7: [7 - CRN (numeric)],
8: [8 - INF (numeric)],
9: [9 - CPR (numeric)],
10: [10 - SYS (numeric)],
11: [11 - HRA (numeric)],
12: [12 - PRE (n... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 200.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 20.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | ICU | [
"STA",
"AGE",
"SEX",
"RAC",
"SER",
"CAN",
"CRN",
"INF",
"CPR",
"SYS",
"HRA",
"PRE",
"TYP",
"FRA",
"PO2",
"PH",
"PCO",
"BIC",
"CRE"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 369 |
5,060 | mean_absolute_error | mean_absolute_error | baskball | **Author**:
**Source**: Unknown -
**Please cite**:
Dataset from Smoothing Methods in Statistics
(ftp stat.cmu.edu/datasets)
Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag.
Points scored per minute is being treated as
the class attribute. | {0: [0 - assists_per_minute (numeric)],
1: [1 - height (numeric)],
2: [2 - time_played (numeric)],
3: [3 - age (numeric)],
4: [4 - points_per_minute (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 96.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | baskball | [
"assists_per_minute",
"height",
"time_played",
"age"
] | [
false,
false,
false,
false
] | 370 |
5,063 | mean_absolute_error | mean_absolute_error | pyrim | **Author**:
**Source**: Unknown -
**Please cite**:
The task consists of Learning Quantitative Structure Activity
Relationships (QSARs). The Inhibition of Dihydrofolate Reductase by
Pyrimidines.The data are described in: King, Ross .D., Muggleton,
Steven., Lewis, Richard. and Sternberg, Michael.J.E. Drug De... | {0: [0 - p1_polar (numeric)],
1: [1 - p1_size (numeric)],
2: [2 - p1_flex (numeric)],
3: [3 - p1_h_doner (numeric)],
4: [4 - p1_h_acceptor (numeric)],
5: [5 - p1_pi_doner (numeric)],
6: [6 - p1_pi_acceptor (numeric)],
7: [7 - p1_polarisable (numeric)],
8: [8 - p1_sigma (numeric)],
9: [9 - p2_polar (numeric)],
... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 28.0,
'NumberOfInstances': 74.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 28.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | pyrim | [
"p1_polar",
"p1_size",
"p1_flex",
"p1_h_doner",
"p1_h_acceptor",
"p1_pi_doner",
"p1_pi_acceptor",
"p1_polarisable",
"p1_sigma",
"p2_polar",
"p2_size",
"p2_flex",
"p2_h_doner",
"p2_h_acceptor",
"p2_pi_doner",
"p2_pi_acceptor",
"p2_polarisable",
"p2_sigma",
"p3_polar",
"p3_size",... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 371 |
5,031 | mean_absolute_error | mean_absolute_error | USCrime | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand.
Source: TunedIT: http://tunedit.org/repo/DASL
DASL file http://lib.stat.cmu.edu/DASL/Datafiles/USCrime.html
... | {0: [0 - R (numeric)],
1: [1 - Age (numeric)],
2: [2 - S (numeric)],
3: [3 - Ed (numeric)],
4: [4 - Ex0 (numeric)],
5: [5 - Ex1 (numeric)],
6: [6 - LF (numeric)],
7: [7 - M (numeric)],
8: [8 - N (numeric)],
9: [9 - NW (numeric)],
10: [10 - U1 (numeric)],
11: [11 - U2 (numeric)],
12: [12 - W (numeric)],
13:... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 47.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 14.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | USCrime | [
"R",
"Age",
"S",
"Ed",
"Ex0",
"Ex1",
"LF",
"M",
"N",
"NW",
"U1",
"U2",
"W"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 372 |
5,069 | mean_absolute_error | mean_absolute_error | elusage | **Author**:
**Source**: Unknown -
**Please cite**:
Dataset from Smoothing Methods in Statistics
(ftp stat.cmu.edu/datasets)
Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag.
Electicity usage is being treated as the
class attribute. | {0: [0 - average_temperature (numeric)],
1: [1 - month (nominal)],
2: [2 - average_electricity_usage (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 12.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 55.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 1.0,
'cost_... | elusage | [
"average_temperature",
"month"
] | [
false,
true
] | 373 |
5,083 | mean_absolute_error | mean_absolute_error | qsbr_y2 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 25.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsbr_y2 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 374 |
5,070 | mean_absolute_error | mean_absolute_error | hungarian | **Author**:
**Source**: Unknown -
**Please cite**:
Publication Request:
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
This file describes the contents of the heart-disease directory.
This directory contains 4 databases concerning heart disease diagnosis.
All attribu... | {0: [0 - age (numeric)],
1: [1 - sex (nominal)],
2: [2 - cp (nominal)],
3: [3 - trestbps (numeric)],
4: [4 - chol (numeric)],
5: [5 - fbs (nominal)],
6: [6 - restecg (nominal)],
7: [7 - thalach (numeric)],
8: [8 - exang (nominal)],
9: [9 - oldpeak (numeric)],
10: [10 - slope (nominal)],
11: [11 - ca (numeric... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 294.0,
'NumberOfInstancesWithMissingValues': 293.0,
'NumberOfMissingValues': 782.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 7.0,
'... | hungarian | [
"age",
"sex",
"cp",
"trestbps",
"chol",
"fbs",
"restecg",
"thalach",
"exang",
"oldpeak",
"slope",
"ca",
"thal"
] | [
false,
true,
true,
false,
false,
true,
true,
false,
true,
false,
true,
false,
true
] | 375 |
5,058 | mean_absolute_error | mean_absolute_error | longley | **Author**:
**Source**: Unknown -
**Please cite**:
Data from StatLib (ftp stat.cmu.edu/datasets)
The infamous Longley data, "An appraisal of least-squares programs from
the point of view of the user", JASA, 62(1967) p819-841.
Variables are: Number of people employed (usually the y variable)
... | {0: [0 - deflator (numeric)],
1: [1 - GNP (numeric)],
2: [2 - unemployed (numeric)],
3: [3 - armed_forces (numeric)],
4: [4 - population (numeric)],
5: [5 - year (numeric)],
6: [6 - employed (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 16.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | longley | [
"deflator",
"GNP",
"unemployed",
"armed_forces",
"population",
"year"
] | [
false,
false,
false,
false,
false,
false
] | 376 |
5,042 | mean_absolute_error | mean_absolute_error | kin8nm | **Author**:
**Source**: Unknown -
**Please cite**:
This is data set is concerned with the forward kinematics of an 8 link
robot arm. Among the existing variants of this data set we have used
the variant 8nm, which is known to be highly non-linear and medium
noisy.
Original source: DELVE repository of dat... | {0: [0 - theta1 (numeric)],
1: [1 - theta2 (numeric)],
2: [2 - theta3 (numeric)],
3: [3 - theta4 (numeric)],
4: [4 - theta5 (numeric)],
5: [5 - theta6 (numeric)],
6: [6 - theta7 (numeric)],
7: [7 - theta8 (numeric)],
8: [8 - y (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | kin8nm | [
"theta1",
"theta2",
"theta3",
"theta4",
"theta5",
"theta6",
"theta7",
"theta8"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 377 |
5,041 | mean_absolute_error | mean_absolute_error | yeast_gene | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Systematic determination of genetic network architecture.
Nature Genetics, 1999 Jul;22(3):281-5.
Data also used in Biclustering of Expression Data, by Yizong Cheng and George M. Church (web supplement)
S. Tavazoie, J.D. Hughes, M.J. Campbell, R.... | {0: [0 - YAL001C (numeric)],
1: [1 - YAL002W (numeric)],
2: [2 - YAL003W (numeric)],
3: [3 - YAL004W (numeric)],
4: [4 - YAL005C (numeric)],
5: [5 - YAL007C (numeric)],
6: [6 - YAL009W (numeric)],
7: [7 - YAL010C (numeric)],
8: [8 - YAL011W (numeric)],
9: [9 - YAL012W (numeric)],
10: [10 - YAL013W (numeric)],... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 2884.0,
'NumberOfInstances': 17.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2884.0,
'NumberOfSymbolicFeatures': 0.0,
'... | yeast_gene | [
"YAL001C",
"YAL002W",
"YAL003W",
"YAL004W",
"YAL005C",
"YAL007C",
"YAL009W",
"YAL010C",
"YAL011W",
"YAL012W",
"YAL013W",
"YAL015C",
"YAL016W",
"YAL017W",
"YAL018C",
"YAL019W",
"YAL020C",
"YAL021C",
"YAL022C",
"YAL023C",
"YAL025C",
"YAL026C",
"YAL027W",
"YAL028W",
"YAL... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
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... | 378 |
5,050 | mean_absolute_error | mean_absolute_error | delta_elevators | **Author**: Rui Camacho (rcamacho@garfield.fe.up.pt)
**Source**: [Regression datasets collection Luis Torgo](http://www.dcc.fc.up.pt/~ltorgo/Regression/DataSets.html)
**Please cite**:
This data set is also obtained from the task of controlling the ailerons of a F16 aircraft, although the target variable and att... | {0: [0 - climbRate (numeric)],
1: [1 - Altitude (numeric)],
2: [2 - RollRate (numeric)],
3: [3 - curRoll (numeric)],
4: [4 - diffClb (numeric)],
5: [5 - diffDiffClb (numeric)],
6: [6 - Se (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 9517.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | delta_elevators | [
"climbRate",
"Altitude",
"RollRate",
"curRoll",
"diffClb",
"diffDiffClb"
] | [
false,
false,
false,
false,
false,
false
] | 379 |
5,054 | mean_absolute_error | mean_absolute_error | triazines | **Author**:
**Source**: Unknown -
**Please cite**:
The problem is to learn a regression equation/rule/tree to predict the
activity from the descriptive structural attributes. The data and
methodology is described in detail in: - King, Ross .D., Hurst,
Jonathan. D., and Sternberg, Michael.J.E. A comparison... | {0: [0 - p1_polar (numeric)],
1: [1 - p1_size (numeric)],
2: [2 - p1_flex (numeric)],
3: [3 - p1_h_doner (numeric)],
4: [4 - p1_h_acceptor (numeric)],
5: [5 - p1_pi_doner (numeric)],
6: [6 - p1_pi_acceptor (numeric)],
7: [7 - p1_polarisable (numeric)],
8: [8 - p1_sigma (numeric)],
9: [9 - p1_branch (numeric)],... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 61.0,
'NumberOfInstances': 186.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 61.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | triazines | [
"p1_polar",
"p1_size",
"p1_flex",
"p1_h_doner",
"p1_h_acceptor",
"p1_pi_doner",
"p1_pi_acceptor",
"p1_polarisable",
"p1_sigma",
"p1_branch",
"p2_polar",
"p2_size",
"p2_flex",
"p2_h_doner",
"p2_h_acceptor",
"p2_pi_doner",
"p2_pi_acceptor",
"p2_polarisable",
"p2_sigma",
"p2_branc... | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
f... | 380 |
5,065 | mean_absolute_error | mean_absolute_error | stock | **Author**:
**Source**: Unknown -
**Please cite**:
This is a dataset obtained from the StatLib repository. Here is the included description:
The data provided are daily stock prices from January 1988 through October 1991, for ten aerospace companies.
Source: collection of regression datasets by Luis Torgo... | {0: [0 - company1 (numeric)],
1: [1 - company2 (numeric)],
2: [2 - company3 (numeric)],
3: [3 - company4 (numeric)],
4: [4 - company5 (numeric)],
5: [5 - company6 (numeric)],
6: [6 - company7 (numeric)],
7: [7 - company8 (numeric)],
8: [8 - company9 (numeric)],
9: [9 - company10 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 950.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | stock | [
"company1",
"company2",
"company3",
"company4",
"company5",
"company6",
"company7",
"company8",
"company9"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 381 |
5,067 | 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
] | 382 |
5,089 | mean_absolute_error | mean_absolute_error | Phen | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 111.0,
'NumberOfInstances': 22.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 111.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | Phen | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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false,
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false,
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f... | 383 |
5,086 | mean_absolute_error | mean_absolute_error | pdgfr | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz2 (numeric)],
1: [1 - oz3 (numeric)],
2: [2 - oz4 (numeric)],
3: [3 - oz5 (numeric)],
4: [4 - oz6 (numeric)],
5: [5 - oz7 (numeric)],
6: [6 - oz8 (numeric)],
7: [7 - oz9 (numeric)],
8: [8 - oz10 (numeric)],
9: [9 - oz11 (numeric)],
10: [10 - oz12 (numeric)],
11: [11 - oz13 (numeric)],
12: [12 - o... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 321.0,
'NumberOfInstances': 79.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 321.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | pdgfr | [
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33",
"oz3... | [
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false,
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false,
false,
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f... | 384 |
5,068 | mean_absolute_error | mean_absolute_error | cpu_small | **Author**:
**Source**: Unknown -
**Please cite**:
The Computer Activity databases are a collection of computer systems
activity measures. The data was collected from a Sun Sparcstation
20/712 with 128 Mbytes of memory running in a multi-user university
department. Users would typically be doing a large va... | {0: [0 - lread (numeric)],
1: [1 - lwrite (numeric)],
2: [2 - scall (numeric)],
3: [3 - sread (numeric)],
4: [4 - swrite (numeric)],
5: [5 - fork (numeric)],
6: [6 - exec (numeric)],
7: [7 - rchar (numeric)],
8: [8 - wchar (numeric)],
9: [9 - runqsz (numeric)],
10: [10 - freemem (numeric)],
11: [11 - freeswa... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 13.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | cpu_small | [
"lread",
"lwrite",
"scall",
"sread",
"swrite",
"fork",
"exec",
"rchar",
"wchar",
"runqsz",
"freemem",
"freeswap"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 385 |
5,071 | 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
] | 386 |
5,004 | mean_absolute_error | mean_absolute_error | diggle_table_a1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
DATA-SETS FROM DIGGLE, P.J. (1990). TIME SERIES : A BIOSTATISTICAL
INTRODUCTION. Oxford University Press.
Table: Table A1 Lutenizing hormone
Information about the dataset
CLASSTYPE: numeric
CLASSINDEX: none specific | {0: [0 - col_1 (numeric)],
1: [1 - col_2 (numeric)],
2: [2 - col_3 (numeric)],
3: [3 - col_4 (numeric)],
4: [4 - col_5 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 48.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 0.0,
'cost_m... | diggle_table_a1 | [
"col_1",
"col_2",
"col_3",
"col_4"
] | [
false,
false,
false,
false
] | 387 |
5,066 | mean_absolute_error | mean_absolute_error | puma8NH | **Author**:
**Source**: Unknown -
**Please cite**:
This is a family of datasets synthetically generated from a realistic
simulation of the dynamics of a Unimation Puma 560 robot arm. There
are eight datastets in this family . In this repository we only have
two of them. They are all variations on the same ... | {0: [0 - theta1 (numeric)],
1: [1 - theta2 (numeric)],
2: [2 - theta3 (numeric)],
3: [3 - thetad1 (numeric)],
4: [4 - thetad2 (numeric)],
5: [5 - thetad3 (numeric)],
6: [6 - tau1 (numeric)],
7: [7 - tau2 (numeric)],
8: [8 - thetadd3 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | puma8NH | [
"theta1",
"theta2",
"theta3",
"thetad1",
"thetad2",
"thetad3",
"tau1",
"tau2"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 388 |
5,108 | mean_absolute_error | mean_absolute_error | qsbralks | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 22.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 22.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsbralks | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 389 |
5,079 | 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... | [
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f... | 390 |
5,080 | mean_absolute_error | mean_absolute_error | heyl | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 11.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | heyl | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 391 |
5,098 | mean_absolute_error | mean_absolute_error | selwood | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 54.0,
'NumberOfInstances': 31.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 54.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | selwood | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 392 |
5,096 | mean_absolute_error | mean_absolute_error | PHENETYL1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 629.0,
'NumberOfInstances': 22.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 629.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | PHENETYL1 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 393 |
5,049 | 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
] | 394 |
5,104 | mean_absolute_error | mean_absolute_error | qsfrdhla | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 34.0,
'NumberOfInstances': 16.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 34.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsfrdhla | [
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"oz24",
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"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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] | 395 |
5,103 | mean_absolute_error | mean_absolute_error | qsfsr1 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)]} | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 20.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 0.0,
'cost... | qsfsr1 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
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] | 396 |
5,081 | 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 | [
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"oz28",
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"oz33... | [
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f... | 397 |
5,097 | 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 | [
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f... | 398 |
5,090 | 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 | [
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"oz26",
"oz27",
"oz28",
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"oz33... | [
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f... | 399 |
5,088 | 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 | [
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"oz2",
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"oz5",
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"oz27",
"oz28",
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"oz33... | [
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f... | 400 |
5,101 | mean_absolute_error | mean_absolute_error | pah | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 113.0,
'NumberOfInstances': 80.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 113.0,
'NumberOfSymbolicFeatures': 0.0,
'co... | pah | [
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"oz27",
"oz28",
"oz29",
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"oz32",
"oz33... | [
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f... | 401 |
5,085 | mean_absolute_error | mean_absolute_error | depreux | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 26.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | depreux | [
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"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 402 |
5,094 | mean_absolute_error | mean_absolute_error | tsutumi | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 13.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'... | tsutumi | [
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"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 403 |
5,111 | mean_absolute_error | mean_absolute_error | benzo32 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 33.0,
'NumberOfInstances': 195.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 33.0,
'NumberOfSymbolicFeatures': 0.0,
'cos... | benzo32 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32"
] | [
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false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 405 |
5,119 | 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... | [
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false,
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f... | 406 |
5,121 | 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
] | 407 |
5,092 | mean_absolute_error | mean_absolute_error | thompson | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode).
The molecules and outputs are taken from the original studies (see below). The other... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': nan,
'MaxNominalAttDistinctValues': nan,
'MinorityClassSize': nan,
'NumberOfClasses': 0.0,
'NumberOfFeatures': 1143.0,
'NumberOfInstances': 8.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1143.0,
'NumberOfSymbolicFeatures': 0.0,
'c... | thompson | [
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f... | 408 |
5,091 | 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,
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'c... | lewis | [
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"oz26",
"oz27",
"oz28",
"oz29",
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f... | 409 |
5,087 | 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,
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'NumberOfMissingValues': 0.0,
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'... | carbolenes | [
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"oz25",
"oz26",
"oz27",
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"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 410 |
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