Measure

MeanSkewnessOfNumericAtts

Mean skewness among attributes of the numeric type.

Value per dataset

yeast_gene (1) -0.10035248692453
KDDCup99_full (1) 267.90052532086
robot-failures-lp2 (1) 0.073341675047945
robot-failures-lp3 (1) 0.073341675047945
ldpa (1) -0.00051121937750928
gas-drift (1) 4.6203090589263
gas-drift-different-concentrations (1) 4.6067504415477
skin-segmentation (1) -0.33402505457666
spoken-arabic-digit (1) -0.15290016499842
walking-activity (1) 0.4025843084011
mouseType (1) 0.24981951854003
BurkittLymphoma (1) 0.53138888840313
anthracyclineTaxaneChemotherapy (1) 0.43565915135757
ovarianTumour (1) 0.70967859009547
hepatitisC (1) 0.70967859009547
variousCancers_final (1) -0.02270297922098
USCrime (1) 0.74272337202446
MercuryinBass (1) 0.90615861638809
diggle_table_a1 (1) -0.16687971500425
disclosure_z (1) 0.31709913879473
visualizing_slope (1) 0.46367203490268
disclosure_x_tampered (1) 0.15616319920024
disclosure_x_noise (1) 0.14385428337494
sleuth_case1202 (1) 0.59174777882782
sleuth_case1201 (1) 0.036950507363525
disclosure_x_bias (1) 0.34993783907953
sleuth_case1102 (1) 0.49793027456943
sleuth_case2002 (1) -0.42537943201988
rmftsa_ladata (1) 0.79442728715702
witmer_census_1980 (1) -0.090050747670254
garrat2 (1) 1.676921533382
Phen (1) -0.037068274656537
siddiqi (1) 1.1287761510489
lewis (1) 1.0407645736638
thompson (1) 0.70056285561753
yprop_4_1 (1) 15.298661388223
tsutumi (1) 0.84774148764849
strupcz (1) 1.6979663073217
PHENETYL1 (1) 0.26050769623309
cristalli (1) 1.5137741325187
qqdefects_numeric (1) 1.6121563480449
nasa_numeric (1) 2.0027255874222
KDDCup99 (1) 93.897776701317
gina_prior (1) 11.136684635318
BNG(spectf_test) (1) -1.4191081802921
BNG(adult) (1) 0.35661826571194
BNG(satimage) (1) 0.023126739879867
BNG(baseball) (1) 0.78382933028006
BNG(wisconsin) (1) 0.9412454224028
BNG(cleveland) (1) 0.5800703294739
BNG(auto_price) (1) 0.68128287299392
BNG(cpu_act) (1) 2.3673034551519
Goteborg_52 (1) 0.37682137309179
BNG(primary-tumor) (1)
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
Dexter (1) 19.421673673778
Dorothea (1) 15.377705302045
NELL (1)
KDD98 (1) 5.392899452233
sulfur (1) 0.93498012623523
debutanizer (1) -0.64554361719946
F2Pmodel3smoted (1) 0.42876082549846
F2Pmodel4smoted (1) 1.694705407086
breast-cancer-dropped-missing-attributes-values (1)
BNG(letter,5000,1) (1) 0.27445350587205
BNG(letter,5000,5) (1) 0.27450404595136
BNG(letter,5000,10) (1) 0.27272590538472
BNG(letter,10000,1) (1) 0.27625930635249
BNG(letter,10000,5) (1) 0.27384258078229
BNG(letter,10000,10) (1) 0.27458226427843
BNG(audiology,1000,1) (1)
BNG(audiology,1000,5) (1)
BNG(audiology,1000,10) (1)
BNG(audiology,5000,1) (1)
BNG(audiology,5000,5) (1)
BNG(audiology,5000,10) (1)
BNG(autos,1000,1) (1) 0.76106762076698
BNG(autos,1000,5) (1) 0.75460727662063
BNG(autos,1000,10) (1) 0.75128412954615
BNG(autos,5000,1) (1) 0.77207729711554
BNG(autos,5000,5) (1) 0.76105580848343
BNG(autos,5000,10) (1) 0.75257678554804
BNG(autos,10000,1) (1) 0.77524836726646
BNG(autos,10000,5) (1) 0.76449430197256
appendicitis (1) 0.23121482439886
amazon-commerce-reviews (1) 7.2603449844119
arcene (1) 2.4448872743213
artificial-characters (1) 0.67387208245067
colon-cancer (1) -0.28498661504894
svmguide1 (1) 0.6077701380722
duke-breast-cancer (1) 0.79194117975937
fourclass (1) 0.21554030854929
german.numer (1) 1.0355676638949
iris-test (1) 0.32448187922473
BNG(autos,10000,10) (1) 0.76112371878019
BNG(lymph,1000,1) (1) 0.58799400555829
BNG(lymph,1000,5) (1) 0.59885633709857
BNG(lymph,1000,10) (1) 0.62850381738428
BNG(lymph,5000,1) (1) 0.55626164699422
BNG(lymph,5000,5) (1) 0.59076644463426
BNG(lymph,5000,10) (1) 0.59641685251367
BNG(lymph,10000,1) (1) 0.55978282408556
BNG(lymph,10000,5) (1) 0.61815494848901
BNG(lymph,10000,10) (1) 0.59256073917614
KungChi3 (1) 2.0625445978846
KnuggetChase3 (1) 2.2651793990031
MindCave2 (1) 2.327063068523
a1a (1) 14.603043014487
a2a (1) 14.603043014487
a3a (1) 14.603043014486
a4a (1) 14.603043014486
a5a (1) 14.603043014486
a6a (1) 14.603043014487
a7a (1) 14.603043014487
a8a (1) 14.603043014486
a9a (1) 14.915920050659
MyIris (1) 0.067375701047788
physionet_asystole (1) 1.3384303926424
physionet_bradycardia (1) 0.014042392249211
physionet_tachycardia (1) -0.43957460643645
contact-lenses (1)
cpu.with.vendor (1) 3.2789698127059
COMET_MC (2) 4.4317479898046
COMET_MC (1) 4.4317479898046
SensorDataResource (1) 1.1024671831423
IBO (1) 0.0598233149496
CoverType5percent (1) 0.76513440308243
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) 2.2788684016958
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 1.3568492643103
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) 0.4594187729497
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) 1.8765444494993
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 0.014695980872469
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) -0.012275297913563
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) 1.1041784790065
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) 1.0663338959147
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) 2.00974627603
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) 1.7846831309964
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 0.74117503015608
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 0.80745781184747
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) -0.19075042121761
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) 1.1159674713876
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) 0.91390342426673
cjs (3) 1.3183070400308
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) 1.073187673122
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 0.87705494729205
COMET_MC_SAMPLE (1) 4.4132240617165
COMET_MC_SAMPLE (2) 5.8087990129888
COMET_MC_SAMPLE (3) 4.8406658441573
COMET_MC_SAMPLE (4) 5.2958688740597
YAGO_Schema_KGE (1) 5.5408403653635
yagoSchema.ttl (4) 0.2181138171482
MiceProtein (1) 0.78560413082184
KEGGMetabolicReactionNetwork (1) 4.4167182963504
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) 1.7199419684031
BachChoralHarmony (1) 0.65365961229178
TurkiyeStudentEvaluation (1) -0.20901221977401
SpokenArabicDigit (1) -0.18981053590955
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) 0.023239745116694
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 0.45478627058914
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 1.0584152562273
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) 2.0680386575924
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) 2.8610473774398
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) 0.81086331203825
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) 2.6922055108784
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 2.2036929188131
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) -0.029220619873955
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 1.0392990971466
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) 3.4459938251264
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 0.88659861816251
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) 1.3698708414747
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) 2.0948670800909
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 1.0039107900637
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) 1.128584027746
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) 1.0056654361178
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 0.81718118815334
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) 0.0032425724645964
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) 1.5363473779557
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) 2.1245517097618
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) 0.43762843280918
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) 1.0893202273325
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 1.2329501164836
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 1.0858072193518
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) 1.7367546958618
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) -0.12432524921229
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) 0.54543978256067
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) 1.1341806725246
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) 2.4871392398416
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 1.013692704222
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) 1.066020547118
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) 0.8158542961096
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) 1.405447642388
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) 1.1770241136903
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) 3.4130846675749
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) 0.35040279492868
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) 1.1105363733389
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 0.81358740853982
hiva_agnostic (1) 4.9606950300834
vowel (3) 0.091115272850625
cocomo_numeric (1) 2.3057191681222
humans_numeric (1) 2.7105181364724
kc1-numeric (1) 2.7600439933992
cjs (2) 1.271224645744
ESL (1) -0.25766090392153
SWD (1) 0.011757163392353
ERA (1) 0.1137696167157
SMSA (1) 1.5100242459638
Brainsize (1) 0.1382768717179
Acorns (1) 0.85064964836975
Cereals (1) 0.57142431748251
ICU (1) 1.9345898893226
pubexpendat (1) 0.61534257607418
EgyptianSkulls (1) -0.0046679911883404
ESL (2) -0.25766090392153
ada_prior (1) 2.83186888341
visualizing_soil (1) 0.27420590864597
cloud (2) 1.2204604689649
BNG(anneal,1000,1) (1) 0.80347968729096
BNG(anneal,1000,5) (1) 0.52711890100789
BNG(anneal,1000,10) (1) 0.43459015440472
BNG(anneal,5000,1) (1) 1.2732239760592
BNG(anneal,5000,5) (1) 0.80700228542692
BNG(anneal,5000,10) (1) 0.68144906095068
BNG(anneal,10000,1) (1) 1.3638485032267
BNG(anneal,10000,5) (1) 1.0954502037601
BNG(anneal,10000,10) (1) 0.81516722268996
BNG(anneal.ORIG,1000,1) (1) 0.83186003702172
TAM_k_d (1) 4.02387027579
eating (1) 1.2084417669727
Agrawal1 (1) -0.45854816413519
Stagger1 (1)
Stagger2 (1)
Stagger3 (1)
AirlinesCodrnaAdult (1) 0.7385762513148
BNG(anneal.ORIG,1000,5) (1) 0.64357073658918
BNG(anneal.ORIG,1000,10) (1) 0.51620621847
BNG(anneal.ORIG,5000,1) (1) 1.5202764685241
BNG(anneal.ORIG,5000,5) (1) 0.83581548584212
BNG(anneal.ORIG,5000,10) (1) 0.69173047834566
BNG(anneal.ORIG,10000,1) (1) 1.5991959178629
BNG(anneal.ORIG,10000,5) (1) 1.1316503161296
BNG(anneal.ORIG,10000,10) (1) 0.84568445639188
BNG(kr-vs-kp,1000,1) (1)
BNG(kr-vs-kp,1000,5) (1)
BNG(kr-vs-kp,1000,10) (1)
BNG(kr-vs-kp,5000,1) (1)
BNG(kr-vs-kp,5000,5) (1)
BNG(kr-vs-kp,5000,10) (1)
BNG(kr-vs-kp,10000,1) (1)
BNG(kr-vs-kp,10000,5) (1)
BNG(kr-vs-kp,10000,10) (1)
BNG(letter,1000,1) (1) 0.27443819551334
BNG(letter,1000,5) (1) 0.26810923054541
BNG(letter,1000,10) (1) 0.26436948251247
BNG(SPECT) (1)
BNG(SPECTF) (1) -1.4160109317794
BNG(mv) (1) -0.024152336542894
BNG(JapaneseVowels) (1) 0.093218294517496
Click_prediction_small (1) 90.408493619253
Click_prediction_small (2) 33.668044203252
Click_prediction_small (3) 66.938454475505
Click_prediction_small (4) 21.140198619191
BNG(breastTumor) (1) 0.028281552390116
BNG(cpu_small) (1) 1.685974923415
BNG(pwLinear) (1) 0.032084996935526
BNG(wine_quality) (1) 0.79513938418897
BNG(Australian) (1) 0.66219166491306
BNG(satellite_image) (1) 0.027822153129339
BNG(Ailerons) (1) -1.1744533420878
BNG(libras_move) (1) -0.20086640558132
BNG(puma32H) (1) -0.0020077915370711
codrnaNorm (1) 0.41668060167672
vehicleNorm (1) 3.3727321008231
lungcancer_shedden (1) 0.7444475532586
letter-challenge-unlabeled.arff (1) 0.29029703410184
letter-challenge-labeled.arff (1) 0.29029703410184
Click_prediction_small (7) 25.628774539097
Click_prediction_small (6) 21.140158929861
nki70.arff (1) 0.24658487353154
BNG(pbc) (1) 1.351071522508
BNG(autoHorse) (1) 0.7450408821997
BNG(lowbwt) (1) 0.55083404699543
BNG(cholesterol) (1) 0.52642766174866
BNG(autoPrice) (1) 0.64200082222616
BNG(pharynx) (1) 0.52564176483196
BNG(2dplanes) (1) -0.0034414492736186
BNG(elevators) (1) 4.891707982277
BNG(echoMonths) (1) 0.61914137560016
BNG(stock) (1) -0.0060411379714951
fourclass_scale (1) 0.21554030854929
german.numer (2) 1.0355676638949
gisette (1) 8.9636642709599
heart (1) 0.41252698190944
ijcnn (1) 1.4956334934377
rcv1.binary (1) 245.79024243375
real-sim (1) 63.22409738768
splice (3) -0.01260531686018
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) -0.0002367293441668
poker-hand (2) -0.00023029312815169
connect-4 (1) 4.0185629295512
aloi (1) 9.6472394357385
SensIT-Vehicle-Combined (1) 3.334129678184
poker (2) 0.18222522767309
SPECTF (2) -1.7637064665749
w1a (1) 16.090794662564
w2a (1) 16.090794662565
w3a (1) 16.090794662565
w4a (1) 16.090794662566
w5a (1) 16.090794662565
w6a (1) 16.090794662566
w7a (1) 16.090794662567
w8a (1) 16.188781219277
svmguide3 (1) 2.1401280309064
wisconsin (1) 1.1205560281472
vineyard (1) -0.51578063299665
bolts (1) 0.16004948978178
cpu_act (1) 4.9976702657136
SEA(50) (1) -0.00066782369631173
SEA(50000) (1) -0.0006620102489698
monks-problems-1_test (1)
monks-problems-1_train (1)
monks-problems-2_test (1)
monks-problems-2_train (1)
monks-problems-3_test (1)
monks-problems-3_train (1)
pol (1) 4.6369937492773
sleep (1) 2.102551660937
triazines (1) 3.1949787679526
detroit (1) 0.27136164725936
Hyperplane_10_1E-4 (1) -0.00059592261311516
LED(50000) (1)
pokerhand (1) 0.0025903719486068
RandomRBF_0_0 (1) -0.032679368264461
RandomRBF_10_1E-3 (1) -0.032197722847879
RandomRBF_10_1E-4 (1) -0.02774809329045
RandomRBF_50_1E-3 (1) -0.0038930242951962
RandomRBF_50_1E-4 (1) -0.022867557018133
BNG(anneal,nominal,1000000) (1)
gascons (1) -0.043303779440892
elusage (1) 0.40924044040573
longley (1) -0.027450630074468
diabetes_numeric (1) -0.57126540831781
baskball (1) -0.020714136177927
2dplanes (1) -0.0041709639843532
elevators (1) 9.3533250203653
house_8L (1) 10.629233314382
BNG(waveform-5000) (1) 0.034165363144921
BNG(zoo) (1) 0.29657249384923
20_newsgroups.drift (1)
BNG(colic.ORIG,nominal,1000000) (1)
BNG(colic,nominal,1000000) (1)
BNG(optdigits) (1)
BNG(credit-a,nominal,1000000) (1)
BNG(page-blocks,nominal,295245) (1)
BNG(credit-g,nominal,1000000) (1)
BNG(pendigits,nominal,1000000) (1)
BNG(cylinder-bands,nominal,1000000) (1)
BNG(dermatology,nominal,1000000) (1)
BNG(segment) (1)
BNG(vehicle,nominal,1000000) (1)
BNG(hepatitis,nominal,1000000) (1)
BNG(vote) (1)
BNG(hypothyroid,nominal,1000000) (1)
BNG(ionosphere) (1)
BNG(waveform-5000,nominal,1000000) (1)
BNG(zoo,nominal,1000000) (1)
CovPokElec (1) 0.27236476025273
covertype (3) 0.27860504710583
BNG(pendigits) (1) -0.0093114242502754
BNG(cylinder-bands) (1) 0.95271887728058
BNG(dermatology) (1) 0.087688139091471
BNG(sonar) (1) 0.82486219923253
BNG(glass) (1) 0.9621388176895
BNG(heart-c) (1) 0.49410350322037
BNG(heart-statlog) (1) 0.37763717572206
BNG(vehicle) (1) 0.60739801386113
BNG(hepatitis) (1) 1.0776462310462
BNG(mfeat-karhunen) (1) -0.0025487437206735
BNG(bridges_version1) (1) 0.92639222806977
BNG(mfeat-zernike) (1) 0.74795231961674
BNG(colic.ORIG) (1) 0.59843529104544
BNG(colic) (1) 0.54686377082983
BNG(credit-a) (1) 1.9186529372632
BNG(page-blocks) (1) 2.1328790795398
BNG(credit-g) (1) 0.89413225737695
BNG(sick,nominal,1000000) (1)
BNG(sonar,nominal,1000000) (1)
BNG(glass,nominal,137781) (1)
BNG(soybean) (1)
BNG(spambase) (1)
BNG(heart-c,nominal,1000000) (1)
BNG(heart-h,nominal,1000000) (1)
BNG(trains) (1)
BNG(heart-statlog,nominal,1000000) (1)
hayes-roth_test (1) 0.18104870125017
hayes-roth_train (1) 0.55998416116837
bridges (1) 0.96723190419995
bridges (2)
BNG(anneal.ORIG,nominal,1000000) (1)
BNG(kr-vs-kp) (1)
BNG(labor,nominal,1000000) (1)
BNG(letter,nominal,1000000) (1)
BNG(autos,nominal,1000000) (1)
BNG(lymph,nominal,1000000) (1)
BNG(breast-cancer,nominal,1000000) (1)
BNG(mfeat-fourier,nominal,1000000) (1)
BNG(mfeat-karhunen,nominal,1000000) (1)
BNG(bridges_version1,nominal,1000000) (1)
BNG(bridges_version2,nominal,1000000) (1)
BNG(mfeat-zernike,nominal,1000000) (1)
BNG(mushroom) (1)
SyskillWebert-Goats (1)
SyskillWebert-Bands (1)
internet_usage (1)
UNIX_user_data (1) 1.2444913076547
SyskillWebert-BioMedical (1)
SyskillWebert-Sheep (1)
spect_test (1)
spect_train (1)
spectf_test (1) -1.7558723498706
spectf_train (1) -1.6211128977575
covertype (2) 20.55133533069
satellite_image (1) 0.04831449741968
Ailerons (1) -4.4797897489925
coil2000 (1) 6.5086647391353
libras_move (1) -0.18532247004349
cjs (1) 1.271224645744
doherty (1) 0.63223972863447
chang (1) 1.0249135452818
qsabr2 (1) -0.1034084694154
qsabr1 (1) 0.066969390106675
qsbr_rw1 (1) -0.012081969867156
prnn_crabs (1) -0.019073315039453
arsenic-male-bladder (1) 5.0571801803037
iq_brain_size (1) 0.64628396078063
papir_2 (1) 0.027964818364968
hip (1) -0.81119661553068
tr31.wc (1) 16.243794503174
oh15.wc (1) 14.429263507293
new3s.wc (1) 46.135429442354
qsbralks (1) 0.2858283097497
stevenson (1) 0.82122667360599
qsartox (1) 0.19983934658577
benzo32 (1) 0.11896144740467
uehling (1) 1.1523413477653
rosowky (1) 0.55289411984132
garrat (1) 1.3144952850799
detroit (2) 0.27113873688794
kidney (1) 0.53528830730868
bank32nh (1) 0.66135207944194
bodyfat (1) 0.24937297950791
cpu (1) 3.2789698127059
cpu_small (2) 4.4211466069638
fried (1) 0.0015188896511387
meta (1) 2.2010221965861
kdd_coil_1 (1) 1.3113580337023
kdd_coil_2 (1) 1.4107998544162
auto93 (1) 0.4476864225902
kdd_coil_3 (1) 1.4086999343371
delta_elevators (2) -0.038789373150091
bank8FM (1) 0.53467538252943
cpu_act (2) 4.9976702657136
house_16H (1) 5.9975075188676
kdd_coil_4 (1) 1.6424529604764
kdd_coil_5 (1) 1.4554124729414
kdd_coil_6 (1) 1.4501162820319
kdd_coil_7 (1) 1.6128138976941
wind (1) 0.48816539016271
tecator (1) 0.68777365540823
space_ga (1) 0.02672377150847
nflpass (1) 0.67988293978861
places (1) 1.5287646383311
sleep (2) 1.857138590183
pm10 (1) -0.033192505896226
pbc (2) 1.2990824543336
humandevel (1) -0.17519423451578
pollen (1) 0.020617482908809
boston (1) 0.69011587406186
arsenic-female-bladder (1) 5.000550271071
cps_85_wages (1) 0.68241574340353
arsenic-male-lung (1) 5.0441003267589
houses (1) 2.0888460612016
socmob (1) 5.8143495513491
pollution (1) 1.0130735371726
boston_corrected (1) 0.51197856681415
transplant (1) 1.5258190884897
lmpavw (1) -0.14609109787211
sensory (1) -0.040489644161149
no2 (1) -0.095603784913488
strikes (1) 1.2292903764832
plasma_retinol (1) 2.9049126744619
balloon (1) -3.7867422580647
arsenic-female-lung (1) 4.8568625778354
pbcseq (1) 1.7918520168177
newton_hema (1) 1.4508692240367
wind_correlations (1) 0.17201124636587
veteran (1) 1.5722620328343
us_crime (1) 1.3018240268144
mbagrade (1) -0.057590016893579
BNG(anneal) (1) 1.6866033172698
BNG(anneal.ORIG) (2) 1.7379232001015
BNG(labor) (2) 0.34601419937813
BNG(letter) (2) 0.27621638356585
BNG(autos) (1) 0.78950738317496
BNG(lymph) (1) 1.9564480044895
BNG(mfeat-fourier) (1) 0.49590787813084
chembl1075021test1 (1) 2.9007337043517
mv (1) -0.023318235458601
aids (1) 2.1799995968073
ozone_level (1) 5.6397682836189
puma32H (1) -0.00212258153812
wine_quality (1) 1.2656073672224
bridges (3) 0.93645324670153
bridges (4)
la2s.wc (1) 24.378267413957
oh5.wc (1) 14.455352240641
re1.wc (1) 17.371786255644
la1s.wc (1) 25.372848400845
wap.wc (1) 16.927144640292
ohscal.wc (1) 46.359786469197
selwood (1) 0.11810046833809
svensson (1) 0.85812152054632
penning (1) 1.1109973914276
qsfsr1 (1) 0.24724361989142
qsfrdhla (1) 0.15587605519778
qsprcmpx (1) 0.051973860802751
qsfsr2 (1) 0.092949217734626
mtp2 (1) 3.0216081792632
yokohoma2 (1) 0.76308515210904
heyl (1) 1.4317213370794
yokohoma1 (1) 1.045677343561
mtp (1) 2.2363810783816
qsbr_y2 (1) -0.48212792687205
krystek (1) 0.85446035252979
depreux (1) 2.3025970062504
pdgfr (1) 0.8352778333934
carbolenes (1) 0.69318034477954
rsctc2010_3 (1) -0.27011593864506
rsctc2010_4 (1) 0.80544221764608
rsctc2010_5 (1) -0.23740984280517
rsctc2010_6 (1) 0.38591706993201
rsctc2010_1 (1) 0.39104611121986
rsctc2010_2 (1) 0.39104611121986
ASP-POTASSCO-regression (1) 5.1071326981733
ASP-POTASSCO-classification (1) 5.1260478336083
MIP-2016-PAR10-regression (1) 2.1909431919348
MIP-2016-PAR10-classification (1) 2.209174705811
employee_salaries (14) 0.88565510383062
Football_players_Fifa_stats (1) -0.13122583375554
visualizing_ethanol (1) 0.15337468742372
chscase_geyser1 (1) -0.38199238552294
LEV (1) 0.019200973009706
FacultySalaries (1) 0.84969950540925
MIP-2016-regression (1) 2.1909431919348
MIP-2016-classification (1) 2.2255446352713
rabe_166 (1) 0.049472210390295
rmftsa_ctoarrivals (1) 0.44108590474447
sleuth_ex1605 (1) -0.17534832736607
chscase_vine2 (1) 0.25350367575994
visualizing_galaxy (1) -0.089251102665053
chscase_vine1 (1) -0.15544643918849
rabe_131 (1) 0.36569934611446
chatfield_4 (1) 1.0110584844758
hutsof99_child_witness (1) -0.0052982941582063
rabe_97 (1) 0.3747936561086
rabe_176 (1) -0.020676225233301
sleuth_ex1221 (1) 2.0526473888401
chscase_foot (1) 0.47617443841969
chscase_health (1) -0.079835482123242
visualizing_hamster (1) 0.47651272349536
rabe_148 (1) -0.62543368978856
chscase_census3 (1) -0.025076080321118
chscase_census2 (1) 1.1667261920201
chscase_demand (1) 0.48828961974175
visualizing_environmental (1) 0.25102506824864
chscase_funds (1) 0.25981351657154
hutsof99_logis (1) 0.098560815240376
Premier_League_matches (1) 0.09944219429011
Premier_League_odds_and_prob (1) 0.88368188252372
OVA_Uterus (1) 4.1243428028852
OVA_Omentum (1) 4.1243428028852
AP_Ovary_Lung (1) 3.2273544836077
AP_Endometrium_Prostate (1) 2.1208884928361
OVA_Endometrium (1) 4.1243428028852
AP_Colon_Omentum (1) 2.7650672594273
AP_Endometrium_Breast (1) 3.3145710365277
AP_Omentum_Uterus (1) 2.6909661184405
AP_Omentum_Prostate (1) 2.3334121473191
AP_Colon_Lung (1) 2.9706658555386
AP_Breast_Omentum (1) 3.3261365223638
AP_Endometrium_Colon (1) 2.6482844453355
OVA_Kidney (1) 4.1243428028852
AP_Colon_Prostate (1) 2.3934831047675
AP_Lung_Uterus (1) 2.8840196082498
AP_Colon_Kidney (1) 2.9061403598563
OVA_Breast (1) 4.1243428028852
AP_Uterus_Kidney (1) 3.0823109436698
OVA_Lung (1) 4.1243428028852
AP_Prostate_Uterus (1) 2.517650774995
AP_Omentum_Lung (1) 2.7871468728054
AP_Prostate_Kidney (1) 2.7334120899321
AP_Breast_Colon (1) 3.2765926610865
OVA_Prostate (1) 4.1243428028852
AP_Omentum_Kidney (1) 3.0238189075928
AP_Breast_Prostate (1) 3.1810198537473
fri_c4_100_100 (1) 0.021742876305214
fri_c0_250_25 (1) -0.014717871718644
fri_c0_500_10 (1) -0.025229144526703
fri_c2_100_25 (1) -0.016112220262854
fri_c1_100_5 (1) 0.058949714686473
fri_c2_250_10 (1) 0.0017826192644361
fri_c3_250_25 (1) 0.10787936796415
emotions (4) 0.99969507191235
fri_c3_500_50 (1) 0.076984179899124
fri_c3_500_10 (1) 0.1445038492252
fri_c1_250_10 (1) -0.039045580832919
fri_c1_250_50 (1) -0.018474684174822
fri_c0_500_5 (1) 0.017598479158334
fri_c0_500_50 (1) 0.0083311154040674
fri_c0_100_25 (1) -0.011057127946664
fri_c0_250_5 (1) -0.055024240605456
fri_c4_250_100 (1) 0.030787084988409
fri_c3_500_25 (1) 0.086405722405996
fri_c1_500_25 (1) -0.0092313384684253
fri_c1_1000_50 (1) -0.0078688992195937
fri_c4_500_25 (1) 0.10804375498183
AP_Breast_Kidney (1) 3.5142806595064
AP_Endometrium_Ovary (1) 3.074818615611
AP_Colon_Uterus (1) 2.8733792382139
OVA_Colon (1) 4.1243428028852
AP_Ovary_Uterus (1) 3.2123001738766
AP_Lung_Kidney (1) 3.1507112183144
AP_Prostate_Ovary (1) 3.0337688655254
AP_Colon_Ovary (1) 3.2440256758133
AP_Endometrium_Lung (1) 2.7000397990887
AP_Prostate_Lung (1) 2.5713613449693
AP_Omentum_Ovary (1) 3.1224653949983
AP_Endometrium_Kidney (1) 2.9293778958841
AP_Breast_Uterus (1) 3.3737618877864
AP_Ovary_Kidney (1) 3.4270914211494
AP_Breast_Lung (1) 3.4596745478827
AP_Endometrium_Omentum (1) 2.4561943073344
AP_Endometrium_Uterus (1) 2.5325325783396
AP_Breast_Ovary (1) 3.69431931109
MeanWhile1 (1) 2.1270787468786
yeast (5) 3.2276078087178
yeast (6) 3.2276078087178
allhyper (1) 0.49700122067284
auto (1) 0.47771208799336
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (1)
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (1)
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (1)
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (1)
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (1)
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (1)
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (2)
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (2)
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (2)
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (2)
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (2)
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (2)
agaricus-lepiota (1) 0.060919708430376
analcatdata_fraud (1)
xd6 (1)
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (3)
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (3)
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (3)
breast (1) 7.8709546834168
cars1 (1) 0.51473228981523
calendarDOW (1) -1.9375149954011
car-evaluation (1)
clean1 (1) 0.27761981132681
clean2 (1) 0.46886355544644
corral (1)
Titanic (2) 0.68452674772017
tokyo1 (1) 5.0087669412719
parity5_plus_5 (1)
allbp (1) 0.49683584841792
allrep (1) 0.49683584841792
analcatdata_happiness (1) 1.0680641879104
cleve (1) 0.47740323420412
ecoli (3) 1.9632549684044
fars (1) -0.00016781194624679
glass2 (1) 1.3357269187235
hypothyroid (3) -0.013309979575083
led24 (1)
led7 (1)
magic (1) 0.64634495548672
mofn-3-7-10 (1)
cleveland-nominal (1)
crx (1) 3.43566142836
dis (1) 0.49683584841792
parity5 (1)
pima (1) 0.52924612893752
mux6 (1)
thyroid-new (1) 2.6600622723591
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
NPSdecay (1) 0.38111234096389
qType_2prev (1) 99.319257544315
qType_5prev (1) 138.57422106555
qType_30prev (1) 246.87827076768
MNIST (1) 29.643207632055
convex (1) 0.48849682107478
mnist_rotation (1) -0.0026929845465726
secom (1) 6.593469172962
CF-metadataset (1) 1.8311687214034
CF-metadataset-nmae (1) 1.8311687214034
USPS (1) 1.4609324044524
Breast_Cancer (1)
sylva_agnostic (2) 0.28257589369056
ada_agnostic (2) 2.8312553867851
climate-model-simulation-chrashes (1) 4.9222791149793E-6
jungle_chess_2pcs_endgame_panther_lion (1) 0.25860602344921
jungle_chess_2pcs_endgame_panther_lion (2) 0.25860602344921
jungle_chess_2pcs_endgame_elephant_elephant (1) 0.20886246425395
jungle_chess_2pcs_endgame_panther_elephant (1) 0.18792655477162
ex2-features-holiday-person-event-en-201610 (1)
ex3-features-holiday-all-es-201610 (1)
ex3-features-holiday-all-en-201610 (1)
London-smart-meter-data-preprocessed-for-clustering (1) 4.6827659865726