Datasets:
asingh15
/
openml

Dataset card Data Studio Files
xet
 Community
1
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
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2
124
attribute_names
listlengths
0
100k
categorical_indicator
listlengths
0
100k
__index_level_0__
int64
0
3.8k
212,025
predictive_accuracy
accuracy_score
oh10.wc
null
{0: [0 - sudden (numeric)], 1: [1 - gland (numeric)], 2: [2 - signific (numeric)], 3: [3 - penetr (numeric)], 4: [4 - hepat (numeric)], 5: [5 - fusion (numeric)], 6: [6 - agenc (numeric)], 7: [7 - rest (numeric)], 8: [8 - seropreval (numeric)], 9: [9 - nucleotid (numeric)], 10: [10 - echocardiographi (numeric...
{'MajorityClassSize': 165.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 52.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 3239.0, 'NumberOfInstances': 1050.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3238.0, 'NumberOfSymbolicFeatures': ...
oh10.wc
[ "sudden", "gland", "signific", "penetr", "hepat", "fusion", "agenc", "rest", "seropreval", "nucleotid", "echocardiographi", "decision", "agent", "0", "placem", "environ", "obstetr", "vagin", "overview", "cytokin", "reconstitut", "discharg", "f", "ileal", "g", "clind...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
716
212,018
predictive_accuracy
accuracy_score
oh5.wc
**Author**: [George Forman](https://scholar.google.com/citations?user=r0a222QAAAAJ) **Source**: http://tunedit.org/repo/Data/Text-wc/oh5.wc.arff **Please cite**:
{0: [0 - depart (numeric)], 1: [1 - nephropathi (numeric)], 2: [2 - cluster (numeric)], 3: [3 - tenth (numeric)], 4: [4 - sudden (numeric)], 5: [5 - infus (numeric)], 6: [6 - imbal (numeric)], 7: [7 - gland (numeric)], 8: [8 - cyclophosphamid (numeric)], 9: [9 - furth (numeric)], 10: [10 - phagocytosi (numeri...
{'MajorityClassSize': 149.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 59.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 3013.0, 'NumberOfInstances': 918.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3012.0, 'NumberOfSymbolicFeatures': 1...
oh5.wc
[ "depart", "nephropathi", "cluster", "tenth", "sudden", "infus", "imbal", "gland", "cyclophosphamid", "furth", "phagocytosi", "fetal", "signific", "penetr", "hepat", "cigarett", "fusion", "resist", "rest", "goal", "hypothyroid", "posttraumat", "hydroxi", "echocardiograph...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
717
5,293
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 ]
718
212,051
predictive_accuracy
accuracy_score
svmguide1
**Author**: Chih-Wei Hsu","Chih-Chung Chang","and Chih-Jen Lin. libSVM","AAD group **Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown **Please cite**: Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin. A practical guide to support vector classification. Techni...
{0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - att_3 (numeric)], 3: [3 - att_4 (numeric)], 4: [4 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 5.0, 'NumberOfInstances': 7089.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 5.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
svmguide1
[ "att_1", "att_2", "att_3", "att_4" ]
[ false, false, false, false ]
719
212,054
predictive_accuracy
accuracy_score
german.numer
null
{0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - att_3 (numeric)], 3: [3 - att_4 (numeric)], 4: [4 - att_5 (numeric)], 5: [5 - att_6 (numeric)], 6: [6 - att_7 (numeric)], 7: [7 - att_8 (numeric)], 8: [8 - att_9 (numeric)], 9: [9 - att_10 (numeric)], 10: [10 - att_11 (numeric)], 11: [11 - att_12 (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 25.0, 'NumberOfInstances': 1000.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 25.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
german.numer
[ "att_1", "att_2", "att_3", "att_4", "att_5", "att_6", "att_7", "att_8", "att_9", "att_10", "att_11", "att_12", "att_13", "att_14", "att_15", "att_16", "att_17", "att_18", "att_19", "att_20", "att_21", "att_22", "att_23", "att_24" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
720
5,296
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 ]
721
212,019
predictive_accuracy
accuracy_score
re1.wc
null
{0: [0 - imbal (numeric)], 1: [1 - subsidis (numeric)], 2: [2 - signific (numeric)], 3: [3 - fairli (numeric)], 4: [4 - rest (numeric)], 5: [5 - agenc (numeric)], 6: [6 - violent (numeric)], 7: [7 - francais (numeric)], 8: [8 - chuck (numeric)], 9: [9 - decision (numeric)], 10: [10 - agent (numeric)], 11: [1...
{'MajorityClassSize': 371.0, 'MaxNominalAttDistinctValues': 25.0, 'MinorityClassSize': 10.0, 'NumberOfClasses': 25.0, 'NumberOfFeatures': 3759.0, 'NumberOfInstances': 1657.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3758.0, 'NumberOfSymbolicFeatures': ...
re1.wc
[ "imbal", "subsidis", "signific", "fairli", "rest", "agenc", "violent", "francais", "chuck", "decision", "agent", "0", "tower", "margarin", "placem", "curtail", "placer", "environ", "hamburg", "und", "fly", "panamanian", "housew", "pension", "discharg", "e", "drake...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
722
5,300
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 ]
723
212,010
predictive_accuracy
accuracy_score
tr21.wc
null
{0: [0 - noteworthi (numeric)], 1: [1 - parad (numeric)], 2: [2 - naval (numeric)], 3: [3 - ward (numeric)], 4: [4 - dock (numeric)], 5: [5 - logist (numeric)], 6: [6 - tonnag (numeric)], 7: [7 - maine (numeric)], 8: [8 - ap (numeric)], 9: [9 - sallie (numeric)], 10: [10 - franci (numeric)], 11: [11 - libert...
{'MajorityClassSize': 231.0, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': 4.0, 'NumberOfClasses': 6.0, 'NumberOfFeatures': 7903.0, 'NumberOfInstances': 336.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7902.0, 'NumberOfSymbolicFeatures': 1.0,...
tr21.wc
[ "noteworthi", "parad", "naval", "ward", "dock", "logist", "tonnag", "maine", "ap", "sallie", "franci", "libertarian", "pip", "russell", "sanford", "approp", "ind", "shipboard", "sunset", "servant", "depart", "logansport", "number", "english", "maritim", "signific", ...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
724
211,892
predictive_accuracy
accuracy_score
la1s.wc
null
{0: [0 - aa (numeric)], 1: [1 - aaron (numeric)], 2: [2 - ab (numeric)], 3: [3 - aback (numeric)], 4: [4 - abandon (numeric)], 5: [5 - abat (numeric)], 6: [6 - abbe (numeric)], 7: [7 - abbrevi (numeric)], 8: [8 - abc (numeric)], 9: [9 - abdel (numeric)], 10: [10 - abdi (numeric)], 11: [11 - abdomen (numeric)...
{'MajorityClassSize': 943.0, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': 273.0, 'NumberOfClasses': 6.0, 'NumberOfFeatures': 13196.0, 'NumberOfInstances': 3204.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 13195.0, 'NumberOfSymbolicFeatures':...
la1s.wc
[ "aa", "aaron", "ab", "aback", "abandon", "abat", "abbe", "abbrevi", "abc", "abdel", "abdi", "abdomen", "abdomin", "abduct", "abdul", "abdullah", "abe", "aberr", "abet", "abid", "abil", "ablaz", "able", "abnorm", "aboard", "abolish", "abort", "abound", "abram",...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
725
5,299
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 ]
726
5,314
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 ]
728
212,071
predictive_accuracy
accuracy_score
svmguide3
**Author**: Chih-Wei Hsu","Chih-Chung Chang","and Chih-Jen Lin. libSVM","AAD group **Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown **Please cite**: #Dataset from the LIBSVM data repository. Preprocessing: Original data: someone from Germany working wi...
{0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - att_3 (numeric)], 3: [3 - att_4 (numeric)], 4: [4 - att_5 (numeric)], 5: [5 - att_6 (numeric)], 6: [6 - att_7 (numeric)], 7: [7 - att_8 (numeric)], 8: [8 - att_9 (numeric)], 9: [9 - att_10 (numeric)], 10: [10 - att_11 (numeric)], 11: [11 - att_12 (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 23.0, 'NumberOfInstances': 1243.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 23.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
svmguide3
[ "att_1", "att_2", "att_3", "att_4", "att_5", "att_6", "att_7", "att_8", "att_9", "att_10", "att_11", "att_12", "att_13", "att_14", "att_15", "att_16", "att_17", "att_18", "att_19", "att_20", "att_21", "att_22" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
729
5,315
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 ]
730
211,991
root_mean_squared_error
root_mean_squared_error
QSAR-TID-11140
**Author**: Dr Ivan Olier, Dr Jeremy Besnard, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn **Source**: MetaQSAR project - September 2015 **Please cite**: This dataset contains QSAR data (from ChEMBL version 17) showi...
{0: [0 - MOLECULE_CHEMBL_ID (nominal)], 1: [1 - FCFP6_1024_0 (numeric)], 2: [2 - FCFP6_1024_1 (numeric)], 3: [3 - FCFP6_1024_2 (numeric)], 4: [4 - FCFP6_1024_3 (numeric)], 5: [5 - FCFP6_1024_4 (numeric)], 6: [6 - FCFP6_1024_5 (numeric)], 7: [7 - FCFP6_1024_6 (numeric)], 8: [8 - FCFP6_1024_7 (numeric)], 9: [9 -...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 1026.0, 'NumberOfInstances': 3429.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 1025.0, 'NumberOfSymbolicFeatures': 1.0, ...
QSAR-TID-11140
[ "FCFP6_1024_0", "FCFP6_1024_1", "FCFP6_1024_2", "FCFP6_1024_3", "FCFP6_1024_4", "FCFP6_1024_5", "FCFP6_1024_6", "FCFP6_1024_7", "FCFP6_1024_8", "FCFP6_1024_9", "FCFP6_1024_10", "FCFP6_1024_11", "FCFP6_1024_12", "FCFP6_1024_13", "FCFP6_1024_14", "FCFP6_1024_15", "FCFP6_1024_16", "FC...
[ false, false, false, false, false, false, false, false, false, false, false, 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...
731
212,014
predictive_accuracy
accuracy_score
tr23.wc
null
{0: [0 - utmost (numeric)], 1: [1 - secondli (numeric)], 2: [2 - neglect (numeric)], 3: [3 - shalala (numeric)], 4: [4 - weekend (numeric)], 5: [5 - timefram (numeric)], 6: [6 - formul (numeric)], 7: [7 - lump (numeric)], 8: [8 - belt (numeric)], 9: [9 - cranston (numeric)], 10: [10 - sympathi (numeric)], 11...
{'MajorityClassSize': 91.0, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': 6.0, 'NumberOfClasses': 6.0, 'NumberOfFeatures': 5833.0, 'NumberOfInstances': 204.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 5832.0, 'NumberOfSymbolicFeatures': 1.0, ...
tr23.wc
[ "utmost", "secondli", "neglect", "shalala", "weekend", "timefram", "formul", "lump", "belt", "cranston", "sympathi", "wrap", "lectur", "underfund", "embargo", "glad", "glar", "multifamili", "perkin", "messr", "demean", "cop", "depart", "multiyear", "blue", "romero",...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
732
212,013
predictive_accuracy
accuracy_score
tr11.wc
null
{0: [0 - outfit (numeric)], 1: [1 - hasn (numeric)], 2: [2 - calm (numeric)], 3: [3 - gene (numeric)], 4: [4 - resettl (numeric)], 5: [5 - lotteri (numeric)], 6: [6 - privileg (numeric)], 7: [7 - junior (numeric)], 8: [8 - withdrawn (numeric)], 9: [9 - chok (numeric)], 10: [10 - compaq (numeric)], 11: [11 - ...
{'MajorityClassSize': 132.0, 'MaxNominalAttDistinctValues': 9.0, 'MinorityClassSize': 6.0, 'NumberOfClasses': 9.0, 'NumberOfFeatures': 6430.0, 'NumberOfInstances': 414.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 6429.0, 'NumberOfSymbolicFeatures': 1.0,...
tr11.wc
[ "outfit", "hasn", "calm", "gene", "resettl", "lotteri", "privileg", "junior", "withdrawn", "chok", "compaq", "noi", "colombia", "radioact", "neutron", "npc", "disabl", "macedonian", "eman", "skopje", "volkov", "appall", "sidelin", "titanium", "quasi", "league", "n...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
733
5,317
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 ]
734
5,304
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 ]
735
212,050
predictive_accuracy
accuracy_score
colon-cancer
**Author**: U. Alon","N. Barkai","D. A. Notterman","K. Gish","S.Ybarra","D.Mack","and A. J. Levine. libSVM","AAD group **Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown **Please cite**: U. Alon, N. Barkai, D. A. Notterman, K. Gish, S.Ybarra, D.Mack, and A. J...
{0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - att_3 (numeric)], 3: [3 - att_4 (numeric)], 4: [4 - att_5 (numeric)], 5: [5 - att_6 (numeric)], 6: [6 - att_7 (numeric)], 7: [7 - att_8 (numeric)], 8: [8 - att_9 (numeric)], 9: [9 - att_10 (numeric)], 10: [10 - att_11 (numeric)], 11: [11 - att_12 (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 2001.0, 'NumberOfInstances': 62.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 2001.0, 'NumberOfSymbolicFeatures': 0.0, '...
colon-cancer
[ "att_1", "att_2", "att_3", "att_4", "att_5", "att_6", "att_7", "att_8", "att_9", "att_10", "att_11", "att_12", "att_13", "att_14", "att_15", "att_16", "att_17", "att_18", "att_19", "att_20", "att_21", "att_22", "att_23", "att_24", "att_25", "att_26", "att_27", "...
[ false, false, false, false, false, false, false, false, false, false, false, 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...
736
5,307
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 ]
737
5,105
mean_absolute_error
mean_absolute_error
qsprcmpx
**Author**: **Source**: Unknown - Date unknown **Please cite**: This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken from the original studies (see below). The other...
{0: [0 - oz1 (numeric)], 1: [1 - oz2 (numeric)], 2: [2 - oz3 (numeric)], 3: [3 - oz4 (numeric)], 4: [4 - oz5 (numeric)], 5: [5 - oz6 (numeric)], 6: [6 - oz7 (numeric)], 7: [7 - oz8 (numeric)], 8: [8 - oz9 (numeric)], 9: [9 - oz10 (numeric)], 10: [10 - oz11 (numeric)], 11: [11 - oz12 (numeric)], 12: [12 - oz...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 40.0, 'NumberOfInstances': 22.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 40.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
qsprcmpx
[ "oz1", "oz2", "oz3", "oz4", "oz5", "oz6", "oz7", "oz8", "oz9", "oz10", "oz11", "oz12", "oz13", "oz14", "oz15", "oz16", "oz17", "oz18", "oz19", "oz20", "oz21", "oz22", "oz23", "oz24", "oz25", "oz26", "oz27", "oz28", "oz29", "oz30", "oz31", "oz32", "oz33...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
738
211,889
predictive_accuracy
accuracy_score
la2s.wc
null
{0: [0 - aa (numeric)], 1: [1 - aaa (numeric)], 2: [2 - aaron (numeric)], 3: [3 - aase (numeric)], 4: [4 - ab (numeric)], 5: [5 - abandon (numeric)], 6: [6 - abat (numeric)], 7: [7 - abbe (numeric)], 8: [8 - abc (numeric)], 9: [9 - abdi (numeric)], 10: [10 - abdomen (numeric)], 11: [11 - abdomin (numeric)], ...
{'MajorityClassSize': 905.0, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': 248.0, 'NumberOfClasses': 6.0, 'NumberOfFeatures': 12433.0, 'NumberOfInstances': 3075.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 12432.0, 'NumberOfSymbolicFeatures':...
la2s.wc
[ "aa", "aaa", "aaron", "aase", "ab", "abandon", "abat", "abbe", "abc", "abdi", "abdomen", "abdomin", "abduct", "abdul", "abe", "abet", "abhorr", "abid", "abil", "able", "abnorm", "aboard", "abolish", "abolit", "abort", "abound", "abraham", "abram", "abroad", ...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
739
212,009
predictive_accuracy
accuracy_score
tr45.wc
null
{0: [0 - sunni (numeric)], 1: [1 - interbank (numeric)], 2: [2 - rig (numeric)], 3: [3 - dlouhi (numeric)], 4: [4 - bratislava (numeric)], 5: [5 - librari (numeric)], 6: [6 - number (numeric)], 7: [7 - contamin (numeric)], 8: [8 - mold (numeric)], 9: [9 - norm (numeric)], 10: [10 - mobil (numeric)], 11: [11 ...
{'MajorityClassSize': 160.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 14.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 8262.0, 'NumberOfInstances': 690.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 8261.0, 'NumberOfSymbolicFeatures': 1...
tr45.wc
[ "sunni", "interbank", "rig", "dlouhi", "bratislava", "librari", "number", "contamin", "mold", "norm", "mobil", "sens", "plankton", "ash", "workstat", "cabin", "sunken", "tengiz", "cove", "tragedi", "alloi", "fluid", "escort", "allot", "curi", "tac", "komsomolet", ...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
740
5,312
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 ]
741
5,309
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 ]
742
212,011
predictive_accuracy
accuracy_score
tr31.wc
null
{0: [0 - cone (numeric)], 1: [1 - protection (numeric)], 2: [2 - wir (numeric)], 3: [3 - fright (numeric)], 4: [4 - resold (numeric)], 5: [5 - thirsti (numeric)], 6: [6 - isolina (numeric)], 7: [7 - lucho (numeric)], 8: [8 - wari (numeric)], 9: [9 - sermon (numeric)], 10: [10 - unwis (numeric)], 11: [11 - co...
{'MajorityClassSize': 352.0, 'MaxNominalAttDistinctValues': 7.0, 'MinorityClassSize': 2.0, 'NumberOfClasses': 7.0, 'NumberOfFeatures': 10129.0, 'NumberOfInstances': 927.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 10128.0, 'NumberOfSymbolicFeatures': 1....
tr31.wc
[ "cone", "protection", "wir", "fright", "resold", "thirsti", "isolina", "lucho", "wari", "sermon", "unwis", "commenc", "optic", "ah", "reservoir", "au", "uninjur", "deflat", "enclav", "narcodollar", "delgado", "jakarta", "oxapampa", "yonsei", "modul", "labell", "in...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
743
212,062
predictive_accuracy
accuracy_score
splice
**Author**: Delve Datasets libSVM","AAD group **Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown **Please cite**: #Dataset from the LIBSVM data repository. Preprocessing: scaled to [-1,1]
{0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - att_3 (numeric)], 3: [3 - att_4 (numeric)], 4: [4 - att_5 (numeric)], 5: [5 - att_6 (numeric)], 6: [6 - att_7 (numeric)], 7: [7 - att_8 (numeric)], 8: [8 - att_9 (numeric)], 9: [9 - att_10 (numeric)], 10: [10 - att_11 (numeric)], 11: [11 - att_12 (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 61.0, 'NumberOfInstances': 3175.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 61.0, 'NumberOfSymbolicFeatures': 0.0, 'co...
splice
[ "att_1", "att_2", "att_3", "att_4", "att_5", "att_6", "att_7", "att_8", "att_9", "att_10", "att_11", "att_12", "att_13", "att_14", "att_15", "att_16", "att_17", "att_18", "att_19", "att_20", "att_21", "att_22", "att_23", "att_24", "att_25", "att_26", "att_27", "...
[ false, false, false, false, false, false, false, false, false, false, false, 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...
744
212,024
predictive_accuracy
accuracy_score
tr41.wc
null
{0: [0 - lighthous (numeric)], 1: [1 - conquest (numeric)], 2: [2 - algerian (numeric)], 3: [3 - banish (numeric)], 4: [4 - jerri (numeric)], 5: [5 - nationalist (numeric)], 6: [6 - evil (numeric)], 7: [7 - beirut (numeric)], 8: [8 - worrisom (numeric)], 9: [9 - stolen (numeric)], 10: [10 - durabl (numeric)],...
{'MajorityClassSize': 243.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 9.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 7455.0, 'NumberOfInstances': 878.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7454.0, 'NumberOfSymbolicFeatures': 1....
tr41.wc
[ "lighthous", "conquest", "algerian", "banish", "jerri", "nationalist", "evil", "beirut", "worrisom", "stolen", "durabl", "adburgham", "restart", "lee", "avonmouth", "wive", "exot", "tighter", "tenth", "polic", "diane", "perish", "altimet", "princeton", "eb", "diseas...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
745
5,110
mean_absolute_error
mean_absolute_error
qsartox
**Author**: **Source**: Unknown - Date unknown **Please cite**: This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken from the original studies (see below). The other...
{0: [0 - oz1 (numeric)], 1: [1 - oz2 (numeric)], 2: [2 - oz3 (numeric)], 3: [3 - oz4 (numeric)], 4: [4 - oz5 (numeric)], 5: [5 - oz6 (numeric)], 6: [6 - oz7 (numeric)], 7: [7 - oz8 (numeric)], 8: [8 - oz9 (numeric)], 9: [9 - oz10 (numeric)], 10: [10 - oz11 (numeric)], 11: [11 - oz12 (numeric)], 12: [12 - oz...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 24.0, 'NumberOfInstances': 16.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 24.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
qsartox
[ "oz1", "oz2", "oz3", "oz4", "oz5", "oz6", "oz7", "oz8", "oz9", "oz10", "oz11", "oz12", "oz13", "oz14", "oz15", "oz16", "oz17", "oz18", "oz19", "oz20", "oz21", "oz22", "oz23" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
746
5,321
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 ]
747
5,323
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 ]
748
211,782
predictive_accuracy
accuracy_score
duke-breast-cancer
**Author**: Shirish Krishnaj Shevade and S. Sathiya Keerthi. libSVM","AAD group **Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown **Please cite**: Shirish Krishnaj Shevade and S. Sathiya Keerthi. A simple and efficient algorithm for gene selection using spar...
{0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - att_3 (numeric)], 3: [3 - att_4 (numeric)], 4: [4 - att_5 (numeric)], 5: [5 - att_6 (numeric)], 6: [6 - att_7 (numeric)], 7: [7 - att_8 (numeric)], 8: [8 - att_9 (numeric)], 9: [9 - att_10 (numeric)], 10: [10 - att_11 (numeric)], 11: [11 - att_12 (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7130.0, 'NumberOfInstances': 86.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7130.0, 'NumberOfSymbolicFeatures': 0.0, '...
duke-breast-cancer
[ "att_1", "att_2", "att_3", "att_4", "att_5", "att_6", "att_7", "att_8", "att_9", "att_10", "att_11", "att_12", "att_13", "att_14", "att_15", "att_16", "att_17", "att_18", "att_19", "att_20", "att_21", "att_22", "att_23", "att_24", "att_25", "att_26", "att_27", "...
[ false, false, false, false, false, false, false, false, false, false, false, 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...
749
5,319
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 ]
750
5,320
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 ]
751
5,322
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 ]
752
5,318
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 ]
753
5,298
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 ]
754
5,316
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 ]
755
5,324
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 ]
756
5,327
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 ]
757
5,114
mean_absolute_error
mean_absolute_error
garrat
**Author**: **Source**: Unknown - Date unknown **Please cite**: This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken from the original studies (see below). The other...
{0: [0 - oz1 (numeric)], 1: [1 - oz2 (numeric)], 2: [2 - oz3 (numeric)], 3: [3 - oz4 (numeric)], 4: [4 - oz5 (numeric)], 5: [5 - oz6 (numeric)], 6: [6 - oz7 (numeric)], 7: [7 - oz8 (numeric)], 8: [8 - oz9 (numeric)], 9: [9 - oz10 (numeric)], 10: [10 - oz11 (numeric)], 11: [11 - oz12 (numeric)], 12: [12 - oz...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 1143.0, 'NumberOfInstances': 10.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 1143.0, 'NumberOfSymbolicFeatures': 0.0, '...
garrat
[ "oz1", "oz2", "oz3", "oz4", "oz5", "oz6", "oz7", "oz8", "oz9", "oz10", "oz11", "oz12", "oz13", "oz14", "oz15", "oz16", "oz17", "oz18", "oz19", "oz20", "oz21", "oz22", "oz23", "oz24", "oz25", "oz26", "oz27", "oz28", "oz29", "oz30", "oz31", "oz32", "oz33...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
758
5,337
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 ]
759
5,334
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 ]
760
5,332
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 ]
761
5,328
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 ]
762
5,326
mean_absolute_error
mean_absolute_error
LEV
**Author**: **Source**: Unknown - Date unknown **Please cite**: 1. Title: Lecturers Evaluation (Ordinal LEV) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel...
{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...
LEV
[ "In1", "In2", "In3", "In4" ]
[ false, false, false, false ]
763
5,331
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...
764
5,325
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 ]
765
212,020
predictive_accuracy
accuracy_score
la1s.wc
null
{0: [0 - aa (numeric)], 1: [1 - aaron (numeric)], 2: [2 - ab (numeric)], 3: [3 - aback (numeric)], 4: [4 - abandon (numeric)], 5: [5 - abat (numeric)], 6: [6 - abbe (numeric)], 7: [7 - abbrevi (numeric)], 8: [8 - abc (numeric)], 9: [9 - abdel (numeric)], 10: [10 - abdi (numeric)], 11: [11 - abdomen (numeric)...
{'MajorityClassSize': 943.0, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': 273.0, 'NumberOfClasses': 6.0, 'NumberOfFeatures': 13196.0, 'NumberOfInstances': 3204.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 13195.0, 'NumberOfSymbolicFeatures':...
la1s.wc
[ "aa", "aaron", "ab", "aback", "abandon", "abat", "abbe", "abbrevi", "abc", "abdel", "abdi", "abdomen", "abdomin", "abduct", "abdul", "abdullah", "abe", "aberr", "abet", "abid", "abil", "ablaz", "able", "abnorm", "aboard", "abolish", "abort", "abound", "abram",...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
766
5,335
mean_absolute_error
mean_absolute_error
MercuryinBass
**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/MercuryinBass...
{0: [0 - ID (numeric)], 1: [1 - Lake (nominal)], 2: [2 - Alkalinity (numeric)], 3: [3 - pH (numeric)], 4: [4 - Calcium (numeric)], 5: [5 - Chlorophyll (numeric)], 6: [6 - Avg_Mercury (numeric)], 7: [7 - No.samples (numeric)], 8: [8 - min (numeric)], 9: [9 - max (numeric)], 10: [10 - 3_yr_Standard_Mercury (num...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 12.0, 'NumberOfInstances': 53.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 1.0, 'cost...
MercuryinBass
[ "Alkalinity", "pH", "Calcium", "Chlorophyll", "Avg_Mercury", "No.samples", "min", "max", "age_data" ]
[ false, false, false, false, false, false, false, false, false ]
768
5,333
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 ]
769
212,017
predictive_accuracy
accuracy_score
la2s.wc
null
{0: [0 - aa (numeric)], 1: [1 - aaa (numeric)], 2: [2 - aaron (numeric)], 3: [3 - aase (numeric)], 4: [4 - ab (numeric)], 5: [5 - abandon (numeric)], 6: [6 - abat (numeric)], 7: [7 - abbe (numeric)], 8: [8 - abc (numeric)], 9: [9 - abdi (numeric)], 10: [10 - abdomen (numeric)], 11: [11 - abdomin (numeric)], ...
{'MajorityClassSize': 905.0, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': 248.0, 'NumberOfClasses': 6.0, 'NumberOfFeatures': 12433.0, 'NumberOfInstances': 3075.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 12432.0, 'NumberOfSymbolicFeatures':...
la2s.wc
[ "aa", "aaa", "aaron", "aase", "ab", "abandon", "abat", "abbe", "abc", "abdi", "abdomen", "abdomin", "abduct", "abdul", "abe", "abet", "abhorr", "abid", "abil", "able", "abnorm", "aboard", "abolish", "abolit", "abort", "abound", "abraham", "abram", "abroad", ...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
770
5,338
mean_absolute_error
mean_absolute_error
Brainsize
**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/Brainsize.htm...
{0: [0 - Gender (nominal)], 1: [1 - FSIQ (numeric)], 2: [2 - VIQ (numeric)], 3: [3 - PIQ (numeric)], 4: [4 - Weight (numeric)], 5: [5 - Height (numeric)], 6: [6 - MRI_Count (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 2.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7.0, 'NumberOfInstances': 40.0, 'NumberOfInstancesWithMissingValues': 2.0, 'NumberOfMissingValues': 3.0, 'NumberOfNumericFeatures': 6.0, 'NumberOfSymbolicFeatures': 1.0, 'cost_m...
Brainsize
[ "Gender", "FSIQ", "VIQ", "PIQ", "Weight", "Height" ]
[ true, false, false, false, false, false ]
771
5,342
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 ]
772
5,482
predictive_accuracy
accuracy_score
autoMpg
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress i...
{0: [0 - cylinders (nominal)], 1: [1 - displacement (numeric)], 2: [2 - horsepower (numeric)], 3: [3 - weight (numeric)], 4: [4 - acceleration (numeric)], 5: [5 - model (nominal)], 6: [6 - origin (nominal)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 13.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 398.0, 'NumberOfInstancesWithMissingValues': 6.0, 'NumberOfMissingValues': 6.0, 'NumberOfNumericFeatures': 5.0, 'NumberOfSymbolicFeatures': 3.0, 'cost...
autoMpg
[ "cylinders", "displacement", "horsepower", "weight", "acceleration", "model", "origin" ]
[ true, false, false, false, false, true, true ]
773
5,329
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 ]
774
5,340
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 ]
775
5,330
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 ]
776
5,339
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 ]
777
5,483
predictive_accuracy
accuracy_score
fruitfly
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! NAME: Sexual activity and the lifespan of male fruitflies TYPE: Designed (almost factorial) experiment SIZE: 125 observations, 5 variables DESCRI...
{0: [0 - PARTNERS (nominal)], 1: [1 - TYPE (nominal)], 2: [2 - THORAX (numeric)], 3: [3 - SLEEP (numeric)], 4: [4 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 3.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 5.0, 'NumberOfInstances': 125.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3.0, 'NumberOfSymbolicFeatures': 2.0, 'cost_...
fruitfly
[ "PARTNERS", "TYPE", "THORAX", "SLEEP" ]
[ true, true, false, false ]
778
5,343
mean_absolute_error
mean_absolute_error
EgyptianSkulls
**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/EgyptianSkull...
{0: [0 - MB (numeric)], 1: [1 - BH (numeric)], 2: [2 - BL (numeric)], 3: [3 - NH (numeric)], 4: [4 - Year (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 5.0, 'NumberOfInstances': 150.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 5.0, 'NumberOfSymbolicFeatures': 0.0, 'cost_...
EgyptianSkulls
[ "MB", "BH", "BL", "NH" ]
[ false, false, false, false ]
779
5,484
predictive_accuracy
accuracy_score
pbc
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. X treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length ...
{0: [0 - D (nominal)], 1: [1 - Z1 (nominal)], 2: [2 - Z2 (numeric)], 3: [3 - Z3 (nominal)], 4: [4 - Z4 (nominal)], 5: [5 - Z5 (nominal)], 6: [6 - Z6 (nominal)], 7: [7 - Z7 (nominal)], 8: [8 - Z8 (numeric)], 9: [9 - Z9 (numeric)], 10: [10 - Z10 (numeric)], 11: [11 - Z11 (numeric)], 12: [12 - Z12 (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 4.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 19.0, 'NumberOfInstances': 418.0, 'NumberOfInstancesWithMissingValues': 142.0, 'NumberOfMissingValues': 1239.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 8.0, ...
pbc
[ "D", "Z1", "Z2", "Z3", "Z4", "Z5", "Z6", "Z7", "Z8", "Z9", "Z10", "Z11", "Z12", "Z13", "Z14", "Z15", "Z16", "Z17" ]
[ true, true, false, true, true, true, true, true, false, false, false, false, false, false, false, false, false, true ]
780
5,487
predictive_accuracy
accuracy_score
autoPrice
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! All nominal attributes and instances with missing values are deleted. Price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric predictio...
{0: [0 - symboling (numeric)], 1: [1 - normalized-losses (numeric)], 2: [2 - wheel-base (numeric)], 3: [3 - length (numeric)], 4: [4 - width (numeric)], 5: [5 - height (numeric)], 6: [6 - curb-weight (numeric)], 7: [7 - engine-size (numeric)], 8: [8 - bore (numeric)], 9: [9 - stroke (numeric)], 10: [10 - comp...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 16.0, 'NumberOfInstances': 159.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 16.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
autoPrice
[ "symboling", "normalized-losses", "wheel-base", "length", "width", "height", "curb-weight", "engine-size", "bore", "stroke", "compression-ratio", "horsepower", "peak-rpm", "city-mpg", "highway-mpg" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
781
5,488
predictive_accuracy
accuracy_score
pharynx
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connec...
{0: [0 - Inst (nominal)], 1: [1 - sex (nominal)], 2: [2 - Treatment (nominal)], 3: [3 - Grade (nominal)], 4: [4 - Age (numeric)], 5: [5 - Condition (nominal)], 6: [6 - Site (nominal)], 7: [7 - T (nominal)], 8: [8 - N (nominal)], 9: [9 - Entry (nominal)], 10: [10 - Status (nominal)], 11: [11 - class (numeric)...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 184.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 195.0, 'NumberOfInstancesWithMissingValues': 2.0, 'NumberOfMissingValues': 2.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 9.0, 'co...
pharynx
[ "Inst", "sex", "Treatment", "Grade", "Age", "Condition", "Site", "T", "N", "Status" ]
[ true, true, true, true, false, true, true, true, true, true ]
782
5,486
predictive_accuracy
accuracy_score
lowbwt
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identification code deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress i...
{0: [0 - LOW (nominal)], 1: [1 - AGE (numeric)], 2: [2 - LWT (numeric)], 3: [3 - RACE (nominal)], 4: [4 - SMOKE (nominal)], 5: [5 - PTL (nominal)], 6: [6 - HT (nominal)], 7: [7 - UI (nominal)], 8: [8 - FTV (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 6.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 189.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 3.0, 'NumberOfSymbolicFeatures': 7.0, 'cost...
lowbwt
[ "LOW", "AGE", "LWT", "RACE", "SMOKE", "PTL", "HT", "UI", "FTV" ]
[ true, false, false, true, true, true, true, true, true ]
783
5,485
predictive_accuracy
accuracy_score
autoHorse
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Horsepower treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. I...
{0: [0 - symboling (numeric)], 1: [1 - normalized-losses (numeric)], 2: [2 - make (nominal)], 3: [3 - fuel-type (nominal)], 4: [4 - aspiration (nominal)], 5: [5 - num-of-doors (numeric)], 6: [6 - body-style (nominal)], 7: [7 - drive-wheels (nominal)], 8: [8 - engine-location (nominal)], 9: [9 - wheel-base (num...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 22.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 26.0, 'NumberOfInstances': 205.0, 'NumberOfInstancesWithMissingValues': 46.0, 'NumberOfMissingValues': 59.0, 'NumberOfNumericFeatures': 18.0, 'NumberOfSymbolicFeatures': 8.0, '...
autoHorse
[ "symboling", "normalized-losses", "make", "fuel-type", "aspiration", "num-of-doors", "body-style", "drive-wheels", "engine-location", "wheel-base", "length", "width", "height", "curb-weight", "engine-type", "num-of-cylinders", "engine-size", "fuel-system", "bore", "stroke", "...
[ false, false, true, true, true, false, true, true, true, false, false, false, false, false, true, false, false, true, false, false, false, false, false, false, false ]
784
5,491
predictive_accuracy
accuracy_score
pwLinear
**Author**: **Source**: Unknown - **Please cite**: As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connectionist-Based Information Systems. Singapore: Springer-Verlag.
{0: [0 - a1 (numeric)], 1: [1 - a2 (numeric)], 2: [2 - a3 (numeric)], 3: [3 - a4 (numeric)], 4: [4 - a5 (numeric)], 5: [5 - a6 (numeric)], 6: [6 - a7 (numeric)], 7: [7 - a8 (numeric)], 8: [8 - a9 (numeric)], 9: [9 - a10 (numeric)], 10: [10 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 200.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
pwLinear
[ "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9", "a10" ]
[ false, false, false, false, false, false, false, false, false, false ]
785
5,489
predictive_accuracy
accuracy_score
echoMonths
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Survival treated as the class attribute As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In P...
{0: [0 - still_alive (nominal)], 1: [1 - age (numeric)], 2: [2 - pericardial (nominal)], 3: [3 - fractional (numeric)], 4: [4 - epss (numeric)], 5: [5 - lvdd (numeric)], 6: [6 - wall_score (numeric)], 7: [7 - wall_index (numeric)], 8: [8 - alive_at_1 (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 2.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 130.0, 'NumberOfInstancesWithMissingValues': 69.0, 'NumberOfMissingValues': 97.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 3.0, 'co...
echoMonths
[ "still_alive", "age", "pericardial", "fractional", "epss", "lvdd", "wall_score", "wall_index", "alive_at_1" ]
[ true, false, true, false, false, false, false, false, true ]
786
5,490
predictive_accuracy
accuracy_score
breastTumor
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Tumor-size treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. I...
{0: [0 - age (numeric)], 1: [1 - menopause (nominal)], 2: [2 - inv-nodes (nominal)], 3: [3 - node-caps (nominal)], 4: [4 - deg-malig (nominal)], 5: [5 - breast (nominal)], 6: [6 - breast-quad (nominal)], 7: [7 - irradiation (nominal)], 8: [8 - recurrence (nominal)], 9: [9 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 18.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 286.0, 'NumberOfInstancesWithMissingValues': 9.0, 'NumberOfMissingValues': 9.0, 'NumberOfNumericFeatures': 2.0, 'NumberOfSymbolicFeatures': 8.0, 'cos...
breastTumor
[ "age", "menopause", "inv-nodes", "node-caps", "deg-malig", "breast", "breast-quad", "irradiation", "recurrence" ]
[ false, true, true, true, true, true, true, true, true ]
787
5,492
predictive_accuracy
accuracy_score
machine_cpu
**Author**: **Source**: Unknown - **Please cite**: The problem concerns Relative CPU Performance Data. More information can be obtained in the UCI Machine Learning repository (http://www.ics.uci.edu/~mlearn/MLSummary.html). The used attributes are : MYCT: machine cycle time in nanoseconds (integer) MMIN: ...
{0: [0 - MYCT (numeric)], 1: [1 - MMIN (numeric)], 2: [2 - MMAX (numeric)], 3: [3 - CACH (numeric)], 4: [4 - CHMIN (numeric)], 5: [5 - CHMAX (numeric)], 6: [6 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7.0, 'NumberOfInstances': 209.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 0.0, 'cost_...
machine_cpu
[ "MYCT", "MMIN", "MMAX", "CACH", "CHMIN", "CHMAX" ]
[ false, false, false, false, false, false ]
788
5,341
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 ]
789
5,493
predictive_accuracy
accuracy_score
fishcatch
**Author**: **Source**: Unknown - **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Weight treated as the class attribute. Identifier deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding len...
{0: [0 - Species (nominal)], 1: [1 - Length1 (numeric)], 2: [2 - Length2 (numeric)], 3: [3 - Length3 (numeric)], 4: [4 - Height (numeric)], 5: [5 - Width (numeric)], 6: [6 - Sex (nominal)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 7.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 158.0, 'NumberOfInstancesWithMissingValues': 87.0, 'NumberOfMissingValues': 87.0, 'NumberOfNumericFeatures': 6.0, 'NumberOfSymbolicFeatures': 2.0, 'cos...
fishcatch
[ "Species", "Length1", "Length2", "Length3", "Height", "Width", "Sex" ]
[ true, false, false, false, false, false, true ]
790
5,515
predictive_accuracy
accuracy_score
cpu
**Author**: **Source**: Unknown - Date unknown **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2 and 8 deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Prog...
{0: [0 - vendor (nominal)], 1: [1 - MYCT (numeric)], 2: [2 - MMIN (numeric)], 3: [3 - MMAX (numeric)], 4: [4 - CACH (numeric)], 5: [5 - CHMIN (numeric)], 6: [6 - CHMAX (numeric)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 30.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 209.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 1.0, 'cost...
cpu
[ "vendor", "MYCT", "MMIN", "MMAX", "CACH", "CHMIN", "CHMAX" ]
[ true, false, false, false, false, false, false ]
791
211,924
predictive_accuracy
accuracy_score
duke-breast-cancer
**Author**: Shirish Krishnaj Shevade and S. Sathiya Keerthi. libSVM","AAD group **Source**: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown **Please cite**: Shirish Krishnaj Shevade and S. Sathiya Keerthi. A simple and efficient algorithm for gene selection using spar...
{0: [0 - att_1 (numeric)], 1: [1 - att_2 (numeric)], 2: [2 - att_3 (numeric)], 3: [3 - att_4 (numeric)], 4: [4 - att_5 (numeric)], 5: [5 - att_6 (numeric)], 6: [6 - att_7 (numeric)], 7: [7 - att_8 (numeric)], 8: [8 - att_9 (numeric)], 9: [9 - att_10 (numeric)], 10: [10 - att_11 (numeric)], 11: [11 - att_12 (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 7130.0, 'NumberOfInstances': 86.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7130.0, 'NumberOfSymbolicFeatures': 0.0, '...
duke-breast-cancer
[ "att_1", "att_2", "att_3", "att_4", "att_5", "att_6", "att_7", "att_8", "att_9", "att_10", "att_11", "att_12", "att_13", "att_14", "att_15", "att_16", "att_17", "att_18", "att_19", "att_20", "att_21", "att_22", "att_23", "att_24", "att_25", "att_26", "att_27", "...
[ false, false, false, false, false, false, false, false, false, false, false, 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...
792
7,561
predictive_accuracy
accuracy_score
cpu.with.vendor
null
{0: [0 - vendor (nominal)], 1: [1 - MYCT (numeric)], 2: [2 - MMIN (numeric)], 3: [3 - MMAX (numeric)], 4: [4 - CACH (numeric)], 5: [5 - CHMIN (numeric)], 6: [6 - CHMAX (numeric)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 30.0, 'MinorityClassSize': nan, 'NumberOfClasses': nan, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 209.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 1.0, 'cost...
cpu.with.vendor
[ "vendor", "MYCT", "MMIN", "MMAX", "CACH", "CHMIN", "CHMAX" ]
[ true, false, false, false, false, false, false ]
793
5,514
predictive_accuracy
accuracy_score
bodyfat
**Author**: Roger W. Johnson **Source**: [UCI (not available anymore)](https://archive.ics.uci.edu/ml/index.php), [TunedIT](http://tunedit.org/repo/UCI/numeric/bodyfat.arff) **Please cite**: None. Short Summary: Lists estimates of the percentage of body fat determined by underwater weighing and various body circu...
{0: [0 - Density (numeric)], 1: [1 - Age (numeric)], 2: [2 - Weight (numeric)], 3: [3 - Height (numeric)], 4: [4 - Neck (numeric)], 5: [5 - Chest (numeric)], 6: [6 - Abdomen (numeric)], 7: [7 - Hip (numeric)], 8: [8 - Thigh (numeric)], 9: [9 - Knee (numeric)], 10: [10 - Ankle (numeric)], 11: [11 - Biceps (nu...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 15.0, 'NumberOfInstances': 252.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 15.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
bodyfat
[ "Density", "Age", "Weight", "Height", "Neck", "Chest", "Abdomen", "Hip", "Thigh", "Knee", "Ankle", "Biceps", "Forearm", "Wrist" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
794
5,496
predictive_accuracy
accuracy_score
libras_move
**Author**: Daniel Baptista Dias, Sarajane Marques Peres, Helton Hideraldo Biscaro University of Sao Paulo, School of Art, Sciences and Humanities, Sao Paulo, SP, Brazil **Source**: Unknown - November 2008 **Please cite**: ### LIBRAS Movement Database LIBRAS, acronym of the Portuguese name "LIngua BRAsileira ...
{0: [0 - xcoord1 (numeric)], 1: [1 - ycoord1 (numeric)], 2: [2 - xcoord2 (numeric)], 3: [3 - ycoord2 (numeric)], 4: [4 - xcoord3 (numeric)], 5: [5 - ycoord3 (numeric)], 6: [6 - xcoord4 (numeric)], 7: [7 - ycoord4 (numeric)], 8: [8 - xcoord5 (numeric)], 9: [9 - ycoord5 (numeric)], 10: [10 - xcoord6 (numeric)],...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 91.0, 'NumberOfInstances': 360.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 91.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
libras_move
[ "xcoord1", "ycoord1", "xcoord2", "ycoord2", "xcoord3", "ycoord3", "xcoord4", "ycoord4", "xcoord5", "ycoord5", "xcoord6", "ycoord6", "xcoord7", "ycoord7", "xcoord8", "ycoord8", "xcoord9", "ycoord9", "xcoord10", "ycoord10", "xcoord11", "ycoord11", "xcoord12", "ycoord12", ...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
795
7,576
root_mean_squared_error
root_mean_squared_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 ]
796
5,517
predictive_accuracy
accuracy_score
auto93
**Author**: **Source**: Unknown - Date unknown **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2,4, and 6 deleted. Midrange price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-base...
{0: [0 - Manufacturer (nominal)], 1: [1 - Type (nominal)], 2: [2 - City_MPG (numeric)], 3: [3 - Highway_MPG (numeric)], 4: [4 - Air_Bags_standard (nominal)], 5: [5 - Drive_train_type (nominal)], 6: [6 - Number_of_cylinders (numeric)], 7: [7 - Engine_size (numeric)], 8: [8 - Horsepower (numeric)], 9: [9 - RPM (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 31.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 23.0, 'NumberOfInstances': 93.0, 'NumberOfInstancesWithMissingValues': 11.0, 'NumberOfMissingValues': 14.0, 'NumberOfNumericFeatures': 17.0, 'NumberOfSymbolicFeatures': 6.0, 'c...
auto93
[ "Manufacturer", "Type", "City_MPG", "Highway_MPG", "Air_Bags_standard", "Drive_train_type", "Number_of_cylinders", "Engine_size", "Horsepower", "RPM", "Engine_revolutions_per_mile", "Manual_transmission_available", "Fuel_tank_capacity", "Passenger_capacity", "Length", "Wheelbase", "W...
[ true, true, false, false, true, true, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, true ]
797
52,948
root_mean_squared_error
root_mean_squared_error
liver-disorders
**Author**: BUPA Medical Research Ltd. Donor: Richard S. Forsyth **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Liver+Disorders) - 5/15/1990 **Please cite**: **BUPA liver disorders** The first 5 variables are all blood tests which are thought to be sensitive to liver disorders that might arise from ...
{0: [0 - mcv (numeric)], 1: [1 - alkphos (numeric)], 2: [2 - sgpt (numeric)], 3: [3 - sgot (numeric)], 4: [4 - gammagt (numeric)], 5: [5 - drinks (numeric)], 6: [6 - selector (nominal)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 6.0, 'NumberOfInstances': 345.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 6.0, 'NumberOfSymbolicFeatures': 0.0, 'cost_...
liver-disorders
[ "mcv", "alkphos", "sgpt", "sgot", "gammagt" ]
[ false, false, false, false, false ]
798
146,846
predictive_accuracy
accuracy_score
auto93
**Author**: **Source**: Unknown - Date unknown **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2,4, and 6 deleted. Midrange price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-base...
{0: [0 - Manufacturer (nominal)], 1: [1 - Type (nominal)], 2: [2 - City_MPG (numeric)], 3: [3 - Highway_MPG (numeric)], 4: [4 - Air_Bags_standard (nominal)], 5: [5 - Drive_train_type (nominal)], 6: [6 - Number_of_cylinders (numeric)], 7: [7 - Engine_size (numeric)], 8: [8 - Horsepower (numeric)], 9: [9 - RPM (...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 31.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 23.0, 'NumberOfInstances': 93.0, 'NumberOfInstancesWithMissingValues': 11.0, 'NumberOfMissingValues': 14.0, 'NumberOfNumericFeatures': 17.0, 'NumberOfSymbolicFeatures': 6.0, 'c...
auto93
[ "Manufacturer", "Type", "City_MPG", "Highway_MPG", "Air_Bags_standard", "Drive_train_type", "Number_of_cylinders", "Engine_size", "Horsepower", "RPM", "Engine_revolutions_per_mile", "Manual_transmission_available", "Fuel_tank_capacity", "Passenger_capacity", "Length", "Wheelbase", "W...
[ true, true, false, false, true, true, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, true ]
799
145,678
root_mean_squared_error
root_mean_squared_error
treepipit
Data on the population density of tree pipits, Anthus trivialis, in Franconian oak forests including variables describing the forest ecosystem. This data is taken from R package coin. This study is based on fieldwork conducted in three lowland oak forests in the Franconian region of northern Bavaria close to Uffenheim,...
{0: [0 - counts (numeric)], 1: [1 - age (numeric)], 2: [2 - coverstorey (numeric)], 3: [3 - coverregen (numeric)], 4: [4 - meanregen (numeric)], 5: [5 - coniferous (numeric)], 6: [6 - deadtree (numeric)], 7: [7 - cbpiles (numeric)], 8: [8 - ivytree (numeric)], 9: [9 - fdist (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 10.0, 'NumberOfInstances': 86.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 10.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
treepipit
[ "age", "coverstorey", "coverregen", "meanregen", "coniferous", "deadtree", "cbpiles", "ivytree", "fdist" ]
[ false, false, false, false, false, false, false, false, false ]
800
5,516
predictive_accuracy
accuracy_score
meta
**Author**: **Source**: Unknown - Date unknown **Please cite**: 1. Title: meta-data 2. Sources: (a) Creator: LIACC - University of Porto R.Campo Alegre 823 4150 PORTO (b) Donor: P.B.Brazdil or J.Gama Tel.: +351 600 1672 LIACC, University of Porto Fax.: +351 600 3654 Rua Campo Alegre...
{0: [0 - DS_Name (nominal)], 1: [1 - T (numeric)], 2: [2 - N (numeric)], 3: [3 - p (numeric)], 4: [4 - k (numeric)], 5: [5 - Bin (numeric)], 6: [6 - Cost (numeric)], 7: [7 - SDratio (numeric)], 8: [8 - correl (numeric)], 9: [9 - cancor1 (numeric)], 10: [10 - cancor2 (numeric)], 11: [11 - fract1 (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 24.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 22.0, 'NumberOfInstances': 528.0, 'NumberOfInstancesWithMissingValues': 264.0, 'NumberOfMissingValues': 504.0, 'NumberOfNumericFeatures': 20.0, 'NumberOfSymbolicFeatures': 2.0, ...
meta
[ "DS_Name", "T", "N", "p", "k", "Bin", "Cost", "SDratio", "correl", "cancor1", "cancor2", "fract1", "fract2", "skewness", "kurtosis", "Hc", "Hx", "MCx", "EnAtr", "NSRatio", "Alg_Name" ]
[ true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true ]
801
146,843
predictive_accuracy
accuracy_score
bodyfat
**Author**: Roger W. Johnson **Source**: [UCI (not available anymore)](https://archive.ics.uci.edu/ml/index.php), [TunedIT](http://tunedit.org/repo/UCI/numeric/bodyfat.arff) **Please cite**: None. Short Summary: Lists estimates of the percentage of body fat determined by underwater weighing and various body circu...
{0: [0 - Density (numeric)], 1: [1 - Age (numeric)], 2: [2 - Weight (numeric)], 3: [3 - Height (numeric)], 4: [4 - Neck (numeric)], 5: [5 - Chest (numeric)], 6: [6 - Abdomen (numeric)], 7: [7 - Hip (numeric)], 8: [8 - Thigh (numeric)], 9: [9 - Knee (numeric)], 10: [10 - Ankle (numeric)], 11: [11 - Biceps (nu...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 15.0, 'NumberOfInstances': 252.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 15.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
bodyfat
[ "Density", "Age", "Weight", "Height", "Neck", "Chest", "Abdomen", "Hip", "Thigh", "Knee", "Ankle", "Biceps", "Forearm", "Wrist" ]
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false ]
802
146,813
predictive_accuracy
accuracy_score
credit-g
**Author**: Dr. Hans Hofmann **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)) - 1994 **Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) **German Credit dataset** This dataset classifies people described by a set of attributes as good or bad credit...
{0: [0 - checking_status (nominal)], 1: [1 - duration (numeric)], 2: [2 - credit_history (nominal)], 3: [3 - purpose (nominal)], 4: [4 - credit_amount (numeric)], 5: [5 - savings_status (nominal)], 6: [6 - employment (nominal)], 7: [7 - installment_commitment (numeric)], 8: [8 - personal_status (nominal)], 9: ...
{'MajorityClassSize': 700.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 300.0, 'NumberOfClasses': 2.0, 'NumberOfFeatures': 21.0, 'NumberOfInstances': 1000.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 14.0,...
credit-g
[ "checking_status", "duration", "credit_history", "purpose", "savings_status", "employment", "installment_commitment", "personal_status", "other_parties", "residence_since", "property_magnitude", "age", "other_payment_plans", "housing", "existing_credits", "job", "num_dependents", "...
[ true, false, true, true, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true, true ]
803
146,844
predictive_accuracy
accuracy_score
cpu
**Author**: **Source**: Unknown - Date unknown **Please cite**: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2 and 8 deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Prog...
{0: [0 - vendor (nominal)], 1: [1 - MYCT (numeric)], 2: [2 - MMIN (numeric)], 3: [3 - MMAX (numeric)], 4: [4 - CACH (numeric)], 5: [5 - CHMIN (numeric)], 6: [6 - CHMAX (numeric)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 30.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 209.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 1.0, 'cost...
cpu
[ "vendor", "MYCT", "MMIN", "MMAX", "CACH", "CHMIN", "CHMAX" ]
[ true, false, false, false, false, false, false ]
804
360,918
mean_absolute_error
mean_absolute_error
QSAR-TID-11
**Author**: Dr Ivan Olier, Dr Jeremy Besnard, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn **Source**: MetaQSAR project - September 2015 **Please cite**: This dataset contains QSAR data (from ChEMBL version 17) showi...
{0: [0 - MOLECULE_CHEMBL_ID (nominal)], 1: [1 - FCFP6_1024_0 (numeric)], 2: [2 - FCFP6_1024_1 (numeric)], 3: [3 - FCFP6_1024_2 (numeric)], 4: [4 - FCFP6_1024_3 (numeric)], 5: [5 - FCFP6_1024_4 (numeric)], 6: [6 - FCFP6_1024_5 (numeric)], 7: [7 - FCFP6_1024_6 (numeric)], 8: [8 - FCFP6_1024_7 (numeric)], 9: [9 -...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 1026.0, 'NumberOfInstances': 5742.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 1025.0, 'NumberOfSymbolicFeatures': 1.0, ...
QSAR-TID-11
[ "FCFP6_1024_0", "FCFP6_1024_1", "FCFP6_1024_2", "FCFP6_1024_3", "FCFP6_1024_4", "FCFP6_1024_5", "FCFP6_1024_6", "FCFP6_1024_7", "FCFP6_1024_8", "FCFP6_1024_9", "FCFP6_1024_10", "FCFP6_1024_11", "FCFP6_1024_12", "FCFP6_1024_13", "FCFP6_1024_14", "FCFP6_1024_15", "FCFP6_1024_16", "FC...
[ false, false, false, false, false, false, false, false, false, false, false, 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...
805
146,857
predictive_accuracy
accuracy_score
cpu.with.vendor
null
{0: [0 - vendor (nominal)], 1: [1 - MYCT (numeric)], 2: [2 - MMIN (numeric)], 3: [3 - MMAX (numeric)], 4: [4 - CACH (numeric)], 5: [5 - CHMIN (numeric)], 6: [6 - CHMAX (numeric)], 7: [7 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 30.0, 'MinorityClassSize': nan, 'NumberOfClasses': nan, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 209.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 7.0, 'NumberOfSymbolicFeatures': 1.0, 'cost...
cpu.with.vendor
[ "vendor", "MYCT", "MMIN", "MMAX", "CACH", "CHMIN", "CHMAX" ]
[ true, false, false, false, false, false, false ]
806
189,765
predictive_accuracy
accuracy_score
Diabetes(scikit-learn)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442 diabetes patients, as well as the response of interest, a quantitative measure of disease progression one year after bas...
{0: [0 - age (numeric)], 1: [1 - sex (numeric)], 2: [2 - bmi (numeric)], 3: [3 - bp (numeric)], 4: [4 - s1 (numeric)], 5: [5 - s2 (numeric)], 6: [6 - s3 (numeric)], 7: [7 - s4 (numeric)], 8: [8 - s5 (numeric)], 9: [9 - s6 (numeric)], 10: [10 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 442.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
Diabetes(scikit-learn)
[ "age", "sex", "bmi", "bp", "s1", "s2", "s3", "s4", "s5", "s6" ]
[ false, false, false, false, false, false, false, false, false, false ]
807
168,295
chi-squared
accuracy_score
blood-transfusion-service-center
**Author**: Prof. I-Cheng Yeh **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Blood+Transfusion+Service+Center) **Please cite**: Yeh, I-Cheng, Yang, King-Jang, and Ting, Tao-Ming, "Knowledge discovery on RFM model using Bernoulli sequence", Expert Systems with Applications, 2008. **Blood Transfusion S...
{0: [0 - V1 (numeric)], 1: [1 - V2 (numeric)], 2: [2 - V3 (numeric)], 3: [3 - V4 (numeric)], 4: [4 - Class (nominal)]}
{'MajorityClassSize': 570.0, 'MaxNominalAttDistinctValues': 2.0, 'MinorityClassSize': 178.0, 'NumberOfClasses': 2.0, 'NumberOfFeatures': 5.0, 'NumberOfInstances': 748.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 4.0, 'NumberOfSymbolicFeatures': 1.0, 'c...
blood-transfusion-service-center
[ "V1", "V3", "V4", "Class" ]
[ false, false, false, true ]
808
167,147
root_mean_squared_error
root_mean_squared_error
boston
**Author**: **Source**: Unknown - Date unknown **Please cite**: The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978. Used in Belsley, Kuh & Welsch, 'Regression diagnostics ...', Wiley, 1980. N...
{0: [0 - CRIM (numeric)], 1: [1 - ZN (numeric)], 2: [2 - INDUS (numeric)], 3: [3 - CHAS (nominal)], 4: [4 - NOX (numeric)], 5: [5 - RM (numeric)], 6: [6 - AGE (numeric)], 7: [7 - DIS (numeric)], 8: [8 - RAD (nominal)], 9: [9 - TAX (numeric)], 10: [10 - PTRATIO (numeric)], 11: [11 - B (numeric)], 12: [12 - L...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 9.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 14.0, 'NumberOfInstances': 506.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 12.0, 'NumberOfSymbolicFeatures': 2.0, 'cos...
boston
[ "CRIM", "ZN", "INDUS", "CHAS", "NOX", "RM", "AGE", "DIS", "RAD", "TAX", "PTRATIO", "B", "LSTAT" ]
[ false, false, false, true, false, false, false, false, true, false, false, false, false ]
809
168,905
predictive_accuracy
accuracy_score
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 ]
810
360,919
mean_absolute_error
mean_absolute_error
QSAR-TID-10980
**Author**: Dr Ivan Olier, Dr Jeremy Besnard, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn **Source**: MetaQSAR project - September 2015 **Please cite**: This dataset contains QSAR data (from ChEMBL version 17) showi...
{0: [0 - MOLECULE_CHEMBL_ID (nominal)], 1: [1 - FCFP6_1024_0 (numeric)], 2: [2 - FCFP6_1024_1 (numeric)], 3: [3 - FCFP6_1024_2 (numeric)], 4: [4 - FCFP6_1024_3 (numeric)], 5: [5 - FCFP6_1024_4 (numeric)], 6: [6 - FCFP6_1024_5 (numeric)], 7: [7 - FCFP6_1024_6 (numeric)], 8: [8 - FCFP6_1024_7 (numeric)], 9: [9 -...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 1026.0, 'NumberOfInstances': 5766.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 1025.0, 'NumberOfSymbolicFeatures': 1.0, ...
QSAR-TID-10980
[ "FCFP6_1024_0", "FCFP6_1024_1", "FCFP6_1024_2", "FCFP6_1024_3", "FCFP6_1024_4", "FCFP6_1024_5", "FCFP6_1024_6", "FCFP6_1024_7", "FCFP6_1024_8", "FCFP6_1024_9", "FCFP6_1024_10", "FCFP6_1024_11", "FCFP6_1024_12", "FCFP6_1024_13", "FCFP6_1024_14", "FCFP6_1024_15", "FCFP6_1024_16", "FC...
[ false, false, false, false, false, false, false, false, false, false, false, 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...
811
167,146
mean_absolute_error
mean_absolute_error
boston
**Author**: **Source**: Unknown - Date unknown **Please cite**: The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978. Used in Belsley, Kuh & Welsch, 'Regression diagnostics ...', Wiley, 1980. N...
{0: [0 - CRIM (numeric)], 1: [1 - ZN (numeric)], 2: [2 - INDUS (numeric)], 3: [3 - CHAS (nominal)], 4: [4 - NOX (numeric)], 5: [5 - RM (numeric)], 6: [6 - AGE (numeric)], 7: [7 - DIS (numeric)], 8: [8 - RAD (nominal)], 9: [9 - TAX (numeric)], 10: [10 - PTRATIO (numeric)], 11: [11 - B (numeric)], 12: [12 - L...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 9.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 14.0, 'NumberOfInstances': 506.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 12.0, 'NumberOfSymbolicFeatures': 2.0, 'cos...
boston
[ "CRIM", "ZN", "INDUS", "CHAS", "NOX", "RM", "AGE", "DIS", "RAD", "TAX", "PTRATIO", "B", "LSTAT" ]
[ false, false, false, true, false, false, false, false, true, false, false, false, false ]
812
168,890
mean_absolute_error
mean_absolute_error
Titanic
The goal is to predict the Fare. Variable description: pclass: A proxy for socio-economic status (SES) 1st = Upper 2nd = Middle 3rd = Lower ...
{0: [0 - Age (numeric)], 1: [1 - Fare (numeric)], 2: [2 - Sex (numeric)], 3: [3 - sibsp (numeric)], 4: [4 - Parch (numeric)], 5: [5 - Pclass (numeric)], 6: [6 - Embarked (numeric)], 7: [7 - X2urvived (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 8.0, 'NumberOfInstances': 1307.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 8.0, 'NumberOfSymbolicFeatures': 0.0, 'cost...
Titanic
[ "Age", "Sex", "sibsp", "Parch", "Pclass", "Embarked", "X2urvived" ]
[ false, false, false, false, false, false, false ]
813
167,148
root_mean_squared_error
root_mean_squared_error
boston
**Author**: **Source**: Unknown - Date unknown **Please cite**: The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978. Used in Belsley, Kuh & Welsch, 'Regression diagnostics ...', Wiley, 1980. N...
{0: [0 - CRIM (numeric)], 1: [1 - ZN (numeric)], 2: [2 - INDUS (numeric)], 3: [3 - CHAS (nominal)], 4: [4 - NOX (numeric)], 5: [5 - RM (numeric)], 6: [6 - AGE (numeric)], 7: [7 - DIS (numeric)], 8: [8 - RAD (nominal)], 9: [9 - TAX (numeric)], 10: [10 - PTRATIO (numeric)], 11: [11 - B (numeric)], 12: [12 - L...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 9.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 14.0, 'NumberOfInstances': 506.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 12.0, 'NumberOfSymbolicFeatures': 2.0, 'cos...
boston
[ "CRIM", "ZN", "INDUS", "CHAS", "NOX", "RM", "AGE", "DIS", "RAD", "TAX", "PTRATIO", "B", "LSTAT" ]
[ false, false, false, true, false, false, false, false, true, false, false, false, false ]
814
146,845
predictive_accuracy
accuracy_score
meta
**Author**: **Source**: Unknown - Date unknown **Please cite**: 1. Title: meta-data 2. Sources: (a) Creator: LIACC - University of Porto R.Campo Alegre 823 4150 PORTO (b) Donor: P.B.Brazdil or J.Gama Tel.: +351 600 1672 LIACC, University of Porto Fax.: +351 600 3654 Rua Campo Alegre...
{0: [0 - DS_Name (nominal)], 1: [1 - T (numeric)], 2: [2 - N (numeric)], 3: [3 - p (numeric)], 4: [4 - k (numeric)], 5: [5 - Bin (numeric)], 6: [6 - Cost (numeric)], 7: [7 - SDratio (numeric)], 8: [8 - correl (numeric)], 9: [9 - cancor1 (numeric)], 10: [10 - cancor2 (numeric)], 11: [11 - fract1 (numeric)], ...
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': 24.0, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 22.0, 'NumberOfInstances': 528.0, 'NumberOfInstancesWithMissingValues': 264.0, 'NumberOfMissingValues': 504.0, 'NumberOfNumericFeatures': 20.0, 'NumberOfSymbolicFeatures': 2.0, ...
meta
[ "DS_Name", "T", "N", "p", "k", "Bin", "Cost", "SDratio", "correl", "cancor1", "cancor2", "fract1", "fract2", "skewness", "kurtosis", "Hc", "Hx", "MCx", "EnAtr", "NSRatio", "Alg_Name" ]
[ true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true ]
815
189,766
predictive_accuracy
accuracy_score
Diabetes(scikit-learn)
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442 diabetes patients, as well as the response of interest, a quantitative measure of disease progression one year after bas...
{0: [0 - age (numeric)], 1: [1 - sex (numeric)], 2: [2 - bmi (numeric)], 3: [3 - bp (numeric)], 4: [4 - s1 (numeric)], 5: [5 - s2 (numeric)], 6: [6 - s3 (numeric)], 7: [7 - s4 (numeric)], 8: [8 - s5 (numeric)], 9: [9 - s6 (numeric)], 10: [10 - class (numeric)]}
{'MajorityClassSize': nan, 'MaxNominalAttDistinctValues': nan, 'MinorityClassSize': nan, 'NumberOfClasses': 0.0, 'NumberOfFeatures': 11.0, 'NumberOfInstances': 442.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 11.0, 'NumberOfSymbolicFeatures': 0.0, 'cos...
Diabetes(scikit-learn)
[ "age", "sex", "bmi", "bp", "s1", "s2", "s3", "s4", "s5", "s6" ]
[ false, false, false, false, false, false, false, false, false, false ]
816
5,344
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...
817