Measure

AutoCorrelation

Average class difference between consecutive instances.

Value per dataset

yeast_gene (1) -19.875
KDDCup99_full (1) 0.99987363298036
robot-failures-lp2 (1) 0.69565217391304
robot-failures-lp3 (1) 0.69565217391304
ldpa (1) 0.99529901309604
gas-drift (1) 0.59199079732547
gas-drift-different-concentrations (1) 0.59199079732547
skin-segmentation (1) 0.99999591930008
spoken-arabic-digit (1) 0.97493304970466
walking-activity (1) 0.9998593728027
mouseType (1) 0.15023474178404
BurkittLymphoma (1) 0.45205479452055
anthracyclineTaxaneChemotherapy (1) 0.53164556962025
ovarianTumour (1) 0.74822695035461
hepatitisC (1) 0.74822695035461
variousCancers_final (1) 0.20418848167539
USCrime (1) -43.369565217391
MercuryinBass (1) 0.66846153846154
diggle_table_a1 (1) 0.41489361702128
disclosure_z (1) -24638.732617247
visualizing_slope (1) -1.2045143488372
disclosure_x_tampered (1) -31843.254723147
disclosure_x_noise (1) -31980.068868381
sleuth_case1202 (1) -92.380434782609
sleuth_case1201 (1) -1.834693877551
disclosure_x_bias (1) -24649.664024206
sleuth_case1102 (1) -111.48484848485
sleuth_case2002 (1) -8.9657534246575
rmftsa_ladata (1) -0.46084812623274
witmer_census_1980 (1) -2.9979591836735
garrat2 (1) 0.67633007692308
Phen (1) 0.85159495238095
siddiqi (1) 0.64457833333333
lewis (1) 0.431032
thompson (1) 0.70438514285714
yprop_4_1 (1) 0.97337533813597
tsutumi (1) 0.79755125
strupcz (1) 0.85744666666667
PHENETYL1 (1) 0.85159495238095
cristalli (1) 0.8015424516129
qqdefects_numeric (1) -452.83333333333
nasa_numeric (1) -691.45652173913
KDDCup99 (1) 0.99892109412796
gina_prior (1) 0.49351023940006
BNG(spectf_test) (1) 0.66161166161166
BNG(adult) (1) 0.63539563539564
BNG(satimage) (1) 0.19000619000619
BNG(baseball) (1)
BNG(wisconsin) (1) -38.01850131136
BNG(cleveland) (1) -0.25603825603826
BNG(auto_price) (1) -6034.6501976118
BNG(cpu_act) (1) -15.473315765926
Goteborg_52 (1)
BNG(primary-tumor) (1) 0.10599110599111
BNG(solar-flare) (1) 0.9550464093943
BNG(solar-flare) (1) 0.98881898881899
BNG(spect_test) (1) 0.84522384522385
Dexter (1) 0.50918196994992
Dorothea (1) 0.82419495213229
NELL (1)
KDD98 (1) 0.90374309182836
sulfur (1) 0.99463817946429
debutanizer (1) 0.9914700235186
F2Pmodel3smoted (1) 0.85989304812834
F2Pmodel4smoted (1) 0.83747609942639
breast-cancer-dropped-missing-attributes-values (1) 0.56884057971014
BNG(letter,5000,1) (1) 0.038612038612039
BNG(letter,5000,5) (1) 0.038612038612039
BNG(letter,5000,10) (1) 0.038612038612039
BNG(letter,10000,1) (1) 0.038612038612039
BNG(letter,10000,5) (1) 0.038612038612039
BNG(letter,10000,10) (1) 0.038612038612039
BNG(audiology,1000,1) (1) 0.13107813107813
BNG(audiology,1000,5) (1) 0.13107813107813
BNG(audiology,1000,10) (1) 0.13107813107813
BNG(audiology,5000,1) (1) 0.13107813107813
BNG(audiology,5000,5) (1) 0.13107813107813
BNG(audiology,5000,10) (1) 0.13107813107813
BNG(autos,1000,1) (1) 0.22591322591323
BNG(autos,1000,5) (1) 0.22591322591323
BNG(autos,1000,10) (1) 0.22591322591323
BNG(autos,5000,1) (1) 0.22591322591323
BNG(autos,5000,5) (1) 0.22591322591323
BNG(autos,5000,10) (1) 0.22591322591323
BNG(autos,10000,1) (1) 0.22591322591323
BNG(autos,10000,5) (1) 0.22591322591323
appendicitis (1)
amazon-commerce-reviews (1) 0.96731154102735
arcene (1) 0.44221105527638
artificial-characters (1) 0.99823823040031
colon-cancer (1) -0.21311475409836
svmguide1 (1) 0.99971783295711
duke-breast-cancer (1) 0.55294117647059
fourclass (1) 0.094076655052265
german.numer (1) 0.13913913913914
iris-test (1) 0.98657718120805
BNG(autos,10000,10) (1) 0.22591322591323
BNG(lymph,1000,1) (1) 0.46374446374446
BNG(lymph,1000,5) (1) 0.46374446374446
BNG(lymph,1000,10) (1) 0.46374446374446
BNG(lymph,5000,1) (1) 0.46374446374446
BNG(lymph,5000,5) (1) 0.46374446374446
BNG(lymph,5000,10) (1) 0.46374446374446
BNG(lymph,10000,1) (1) 0.46374446374446
BNG(lymph,10000,5) (1) 0.46374446374446
BNG(lymph,10000,10) (1) 0.46374446374446
KungChi3 (1) 0.81147540983607
KnuggetChase3 (1) 0.71502590673575
MindCave2 (1) 0.55645161290323
a1a (1) 0.26640049140049
a2a (1) 0.26590909090909
a3a (1) 0.26898034398034
a4a (1) 0.26775184275184
a5a (1) 0.26934889434889
a6a (1) 0.27192874692875
a7a (1) 0.27395577395577
a8a (1) 0.27395577395577
a9a (1) 0.26885198910751
MyIris (1) 0.98657718120805
physionet_asystole (1) 0.71428571428571
physionet_bradycardia (1) 0.47191011235955
physionet_tachycardia (1) 0.88405797101449
contact-lenses (1)
cpu.with.vendor (1)
COMET_MC (2) 0.72291042902465
COMET_MC (1) 0.72291042902465
SensorDataResource (1)
IBO (1) -3.1230188679245
CoverType5percent (1)
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) 0.32795405669599
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 0.20005882352941
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) -0.23731578947368
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) 0.22419198312236
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 1
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) -0.088111111111111
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) 0.73979746835443
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) 0.48835555555556
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) 0.19877011494253
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) 0.22617986577181
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 0.70579012345679
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) -0.0043199999999999
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) -0.92122222222222
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) 0.05225
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) -0.036951612903226
cjs (3) 0.99821109123435
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) 0.17331707317073
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 0.1195
COMET_MC_SAMPLE (1)
COMET_MC_SAMPLE (2) 0.98859871261393
COMET_MC_SAMPLE (3)
COMET_MC_SAMPLE (4) 0.99024856320519
YAGO_Schema_KGE (1)
yagoSchema.ttl (4)
MiceProtein (1) 0.9935125115848
KEGGMetabolicReactionNetwork (1)
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1)
BachChoralHarmony (1) 0.45462570621469
TurkiyeStudentEvaluation (1)
SpokenArabicDigit (1)
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) -0.11838461538462
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) -0.28842307692308
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 0.4110487804878
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) -0.049795886075948
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) 0.11152231404959
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) -0.653
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) -0.3106430976431
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 0.69598287671233
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) 0.31285714285714
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 0.02565
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) 0.22256433408578
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 0.13566666666667
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) 0.58478562874251
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) 0.16554037267081
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 0.095882352941176
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) -0.14847540983607
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) 0.12534782608696
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 0.47072413793103
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) 0.11405555555556
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) -0.25764024390244
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) 0.14615306122449
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) -0.054960784313726
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) 0.74305555555556
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 0.77236296296296
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) -0.4985737704918
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) -0.16803571428571
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) -0.13866666666667
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) 0.18120588235294
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) 0.75765
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) -0.25979532163743
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 0.93407407407407
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) 0.4051
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) 0.24694285714286
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) 0.337
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) -0.7275
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) 0.24047509578544
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) 0.085461538461539
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) -0.051473684210526
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) -0.016615384615385
hiva_agnostic (1) 0.93188268684957
vowel (3) 0.81900910010111
cocomo_numeric (1) -344.25762711864
humans_numeric (1) 0.8561246947027
kc1-numeric (1) -4.5625
cjs (2) 0.99928443649374
ESL (1) -0.51334702258727
SWD (1) 0.14414414414414
ERA (1) -1.1861861861862
SMSA (1) -25.068965517241
Brainsize (1) -86499.846153846
Acorns (1) -2.65
Cereals (1) 0.32894736842105
ICU (1) 0.78391959798995
pubexpendat (1) -50.617021276596
EgyptianSkulls (1) -26.852348993289
ESL (2) -0.51334702258727
ada_prior (1) 0.62157421618066
visualizing_soil (1) 0.98599537037037
cloud (2) 0.91588785046729
BNG(anneal,1000,1) (1) 0.5966435966436
BNG(anneal,1000,5) (1) 0.5966435966436
BNG(anneal,1000,10) (1) 0.5966435966436
BNG(anneal,5000,1) (1) 0.5966435966436
BNG(anneal,5000,5) (1) 0.5966435966436
BNG(anneal,5000,10) (1) 0.5966435966436
BNG(anneal,10000,1) (1) 0.5966435966436
BNG(anneal,10000,5) (1) 0.5966435966436
BNG(anneal,10000,10) (1) 0.5966435966436
BNG(anneal.ORIG,1000,1) (1) 0.5966435966436
TAM_k_d (1) 0.5968992248062
eating (1) 0.13771186440678
Agrawal1 (1) 0.55962755962756
Stagger1 (1) 0.8014438014438
Stagger2 (1) 0.50677450677451
Stagger3 (1) 0.55507855507856
AirlinesCodrnaAdult (1) 0.57136077727391
BNG(anneal.ORIG,1000,5) (1) 0.5966435966436
BNG(anneal.ORIG,1000,10) (1) 0.5966435966436
BNG(anneal.ORIG,5000,1) (1) 0.5966435966436
BNG(anneal.ORIG,5000,5) (1) 0.5966435966436
BNG(anneal.ORIG,5000,10) (1) 0.5966435966436
BNG(anneal.ORIG,10000,1) (1) 0.5966435966436
BNG(anneal.ORIG,10000,5) (1) 0.5966435966436
BNG(anneal.ORIG,10000,10) (1) 0.5966435966436
BNG(kr-vs-kp,1000,1) (1) 0.5005245005245
BNG(kr-vs-kp,1000,5) (1) 0.5005245005245
BNG(kr-vs-kp,1000,10) (1) 0.5005245005245
BNG(kr-vs-kp,5000,1) (1) 0.5005245005245
BNG(kr-vs-kp,5000,5) (1) 0.5005245005245
BNG(kr-vs-kp,5000,10) (1) 0.5005245005245
BNG(kr-vs-kp,10000,1) (1) 0.5005245005245
BNG(kr-vs-kp,10000,5) (1) 0.5005245005245
BNG(kr-vs-kp,10000,10) (1) 0.5005245005245
BNG(letter,1000,1) (1) 0.038612038612039
BNG(letter,1000,5) (1) 0.038612038612039
BNG(letter,1000,10) (1) 0.038612038612039
BNG(SPECT) (1) 0.66979066979067
BNG(SPECTF) (1) 0.5956035956036
BNG(mv) (1) -10.413403761987
BNG(JapaneseVowels) (1) 0.11694811694812
Click_prediction_small (1) 0.91467598687508
Click_prediction_small (2) 0.91470081129125
Click_prediction_small (3) 0.72220011024282
Click_prediction_small (4) 0.72034214393175
BNG(breastTumor) (1) -10.590351997197
BNG(cpu_small) (1) -15.465601791473
BNG(pwLinear) (1) -4.084037245673
BNG(wine_quality) (1) 0.075197965245362
BNG(Australian) (1) 0.51008751008751
BNG(satellite_image) (1) -1.4842044023345
BNG(Ailerons) (1) 0.99956263726264
BNG(libras_move) (1) -3.9802485828607
BNG(puma32H) (1) 0.96599609426109
codrnaNorm (1) 0.55524762364808
vehicleNorm (1) 0.49863489195855
lungcancer_shedden (1) -1.9765873015873
letter-challenge-unlabeled.arff (1) 0.30381519075954
letter-challenge-labeled.arff (1) 0.60693034651733
Click_prediction_small (7) 0.36017062116769
Click_prediction_small (6) 0.72034249395779
nki70.arff (1) 0.51048951048951
BNG(pbc) (1) -1248.3027679116
BNG(autoHorse) (1) -41.286725519948
BNG(lowbwt) (1) -825.38894581959
BNG(cholesterol) (1) -55.867223370126
BNG(autoPrice) (1) -6042.6305537479
BNG(pharynx) (1) -451.4281655329
BNG(2dplanes) (1) -4.0347006957313
BNG(elevators) (1) 0.9936286046506
BNG(echoMonths) (1) -16.950392552329
BNG(stock) (1) -6.5340788667357
fourclass_scale (1) 0.094076655052265
german.numer (2) 0.13913913913914
gisette (1) -0.019288469781397
heart (1) -0.011152416356877
ijcnn (1) 0.63893989983306
rcv1.binary (1) 0.30782638610171
real-sim (1) 0.99997234054323
splice (3) -0.037807183364839
dbworld-bodies-stemmed (1) 0.93650793650794
dbworld-bodies (1) 0.93650793650794
dbworld-subjects-stemmed (1) 0.93650793650794
dbworld-subjects (1) 0.93650793650794
poker-hand (1) 0.43223955325227
poker-hand (2) 0.4322433485301
connect-4 (1) 0.40027532713601
aloi (1) 0.15258474615506
SensIT-Vehicle-Combined (1) 0.14297603702538
poker (2) 0.27712342037972
SPECTF (2) 0.98872180451128
w1a (1) 0.99983918951516
w2a (1) 0.99983918951516
w3a (1) 0.99983918951516
w4a (1) 0.99983918951516
w5a (1) 0.99983918951516
w6a (1) 0.99983918951516
w7a (1) 0.99983918951516
w8a (1) 0.99987635048455
svmguide3 (1) 0.99838969404187
wisconsin (1) -29.740932642487
vineyard (1) -1.1764705882353
bolts (1) -13.571282051282
cpu_act (1) -14.015504822366
SEA(50) (1) 0.53379153379153
SEA(50000) (1) 0.53298153298153
monks-problems-1_test (1) 0.83294663573086
monks-problems-1_train (1) 0.75609756097561
monks-problems-2_test (1) 0.4338747099768
monks-problems-2_train (1) 0.45238095238095
monks-problems-3_test (1) 0.80742459396752
monks-problems-3_train (1) 0.64462809917355
pol (1) -39.418694579639
sleep (1) -0.47540983606557
triazines (1) 0.83311891891892
detroit (1) -29.0975
Hyperplane_10_1E-4 (1) 0.5002455002455
LED(50000) (1) 0.1003471003471
pokerhand (1) 0.74536300048239
RandomRBF_0_0 (1) 0.22710322710323
RandomRBF_10_1E-3 (1) 0.22710322710323
RandomRBF_10_1E-4 (1) 0.22710322710323
RandomRBF_50_1E-3 (1) 0.22710322710323
RandomRBF_50_1E-4 (1) 0.22710322710323
BNG(anneal,nominal,1000000) (1) 0.5964905964906
gascons (1) -8.05
elusage (1) -11.46862962963
longley (1) -1223.2666666667
diabetes_numeric (1) 0.19761904761905
baskball (1) 0.91430315789474
2dplanes (1) -4.0363507887695
elevators (1) 0.99811374864441
house_8L (1) -43992.475573893
BNG(waveform-5000) (1) 0.33376533376533
BNG(zoo) (1) 0.23387323387323
20_newsgroups.drift (1) 0.96540972498306
BNG(colic.ORIG,nominal,1000000) (1) 0.55220055220055
BNG(colic,nominal,1000000) (1) 0.53356853356853
BNG(optdigits) (1) 0.099303099303099
BNG(credit-a,nominal,1000000) (1) 0.50555750555751
BNG(page-blocks,nominal,295245) (1) 0.81108168159217
BNG(credit-g,nominal,1000000) (1) 0.58036758036758
BNG(pendigits,nominal,1000000) (1) 0.0997140997141
BNG(cylinder-bands,nominal,1000000) (1) 0.51173851173851
BNG(dermatology,nominal,1000000) (1) 0.2015462015462
BNG(segment) (1) 0.14297914297914
BNG(vehicle,nominal,1000000) (1) 0.25098725098725
BNG(hepatitis,nominal,1000000) (1) 0.66938166938167
BNG(vote) (1) 0.52482242448749
BNG(hypothyroid,nominal,1000000) (1) 0.85448185448185
BNG(ionosphere) (1) 0.54024254024254
BNG(waveform-5000,nominal,1000000) (1) 0.33399433399433
BNG(zoo,nominal,1000000) (1) 0.23355723355723
CovPokElec (1) 0.82720793336283
covertype (3) 0.95061367168608
BNG(pendigits) (1) 0.0997210997211
BNG(cylinder-bands) (1) 0.51194951194951
BNG(dermatology) (1) 0.2000972000972
BNG(sonar) (1) 0.5020715020715
BNG(glass) (1) 0.25910146610539
BNG(heart-c) (1) 0.4980654980655
BNG(heart-statlog) (1) 0.50639950639951
BNG(vehicle) (1) 0.25086425086425
BNG(hepatitis) (1) 0.67100567100567
BNG(mfeat-karhunen) (1) 0.0998540998541
BNG(bridges_version1) (1) 0.24726624726625
BNG(mfeat-zernike) (1) 0.1000851000851
BNG(colic.ORIG) (1) 0.53782153782154
BNG(colic) (1) 0.53360653360653
BNG(credit-a) (1) 0.50556950556951
BNG(page-blocks) (1) 0.81072265651461
BNG(credit-g) (1) 0.57975657975658
BNG(sick,nominal,1000000) (1) 0.88502388502389
BNG(sonar,nominal,1000000) (1) 0.5025755025755
BNG(glass,nominal,137781) (1) 0.25617651328204
BNG(soybean) (1) 0.086745086745087
BNG(spambase) (1) 0.52156052156052
BNG(heart-c,nominal,1000000) (1) 0.4999554999555
BNG(heart-h,nominal,1000000) (1) 0.53384453384453
BNG(trains) (1) 0.4993784993785
BNG(heart-statlog,nominal,1000000) (1) 0.50725250725251
hayes-roth_test (1) 0.59259259259259
hayes-roth_train (1) 0.36641221374046
bridges (1) 0.4811320754717
bridges (2) 0.4811320754717
BNG(anneal.ORIG,nominal,1000000) (1) 0.5964905964906
BNG(kr-vs-kp) (1) 0.5005245005245
BNG(labor,nominal,1000000) (1) 0.54272754272754
BNG(letter,nominal,1000000) (1) 0.038168038168038
BNG(autos,nominal,1000000) (1) 0.22643622643623
BNG(lymph,nominal,1000000) (1) 0.46451546451546
BNG(breast-cancer,nominal,1000000) (1) 0.58217658217658
BNG(mfeat-fourier,nominal,1000000) (1) 0.0999180999181
BNG(mfeat-karhunen,nominal,1000000) (1) 0.099307099307099
BNG(bridges_version1,nominal,1000000) (1) 0.24707224707225
BNG(bridges_version2,nominal,1000000) (1) 0.24707224707225
BNG(mfeat-zernike,nominal,1000000) (1) 0.0999130999131
BNG(mushroom) (1) 0.5011905011905
SyskillWebert-Goats (1) 0.49275362318841
SyskillWebert-Bands (1) 0.53333333333333
internet_usage (1) 0.11942218264569
UNIX_user_data (1) 0.99912078250357
SyskillWebert-BioMedical (1) 0.93076923076923
SyskillWebert-Sheep (1) 0.765625
spect_test (1) 0.99462365591398
spect_train (1) 0.9873417721519
spectf_test (1) 0.98880597014925
spectf_train (1) 0.9873417721519
covertype (2) 0.96600752825678
satellite_image (1) 0.58532794529064
Ailerons (1) 0.9997911920867
coil2000 (1) 0.8888096935139
libras_move (1) 0.96100278551532
cjs (1) 0.99821109123435
doherty (1) 0.589762
chang (1) 0.92946593939394
qsabr2 (1) 0.76132278571429
qsabr1 (1) 0.76885471428571
qsbr_rw1 (1) 0.79251523076923
prnn_crabs (1) 0.99497487437186
arsenic-male-bladder (1) 0.31720430107527
iq_brain_size (1) -7.3157894736842
papir_2 (1) -0.14465517241379
hip (1)
tr31.wc (1) 0.24622030237581
oh15.wc (1) 0.22916666666667
new3s.wc (1) 0.99550068012975
qsbralks (1) 0.48458316666667
stevenson (1) 0.726161
qsartox (1) 0.78653653333333
benzo32 (1) 0.72329293814433
uehling (1) 0.8569125
rosowky (1) 0.75324377777778
garrat (1) 0.80433588888889
detroit (2) -2.7075
kidney (1) 0.636
bank32nh (1) 0.88500706751312
bodyfat (1) -6.7163346613546
cpu (1) -54.567307692308
cpu_small (2) -14.015504822366
fried (1) -4.7125762994579
meta (1) -172.87535294118
kdd_coil_1 (1) -13.800952380952
kdd_coil_2 (1) -7.1834920634921
auto93 (1) -6.5021739130435
kdd_coil_3 (1) -4.6304761904762
delta_elevators (2) 0.99717276166456
bank8FM (1) 0.83508412171896
cpu_act (2) -14.015504822366
house_16H (1) -43992.475573893
kdd_coil_4 (1) -0.86539682539682
kdd_coil_5 (1) -5.2152380952381
kdd_coil_6 (1) -7.2209523809524
kdd_coil_7 (1) -1.6171428571429
wind (1) -3.8918028297581
tecator (1) -2.6410041841004
space_ga (1) 0.85902266813732
nflpass (1) -0.016
places (1) -1183.8993902439
sleep (2) -0.47540983606557
pm10 (1) 0.01477124248497
pbc (2) 0.093525179856115
humandevel (1) 0.99317829457364
pollen (1) -2.559599350143
boston (1) -3.3724752475248
arsenic-female-bladder (1) 0.47670250896057
cps_85_wages (1) -3.7971857410882
arsenic-male-lung (1) -1.4838709677419
houses (1) -38375.042928436
socmob (1) -12.573246753247
pollution (1) -68.357593220339
boston_corrected (1) -2.8528712871287
transplant (1) 0
lmpavw (1) 0.95473732937154
sensory (1) 0.27826086956522
no2 (1) 0.096777775551102
strikes (1) -236.55929487179
plasma_retinol (1) -196.46815286624
balloon (1) 0.928251
arsenic-female-lung (1) -0.23118279569892
pbcseq (1) 0.85185185185185
newton_hema (1) -8.7553956834532
wind_correlations (1)
veteran (1) -124.53676470588
us_crime (1) 0.76171600602107
mbagrade (1) 0.66205
BNG(anneal) (1) 0.5966435966436
BNG(anneal.ORIG) (2) 0.5966435966436
BNG(labor) (2) 0.54375154375154
BNG(letter) (2) 0.038612038612039
BNG(autos) (1) 0.22591322591323
BNG(lymph) (1) 0.46374446374446
BNG(mfeat-fourier) (1) 0.0999560999561
chembl1075021test1 (1) 0.54611764705882
mv (1) -10.418089897558
aids (1) 0.97959183673469
ozone_level (1) 0.94871794871795
puma32H (1) 0.96630085740447
wine_quality (1) 0.22213669950739
bridges (3) 0.49038461538462
bridges (4) 0.49038461538462
la2s.wc (1) 0.75341574495771
oh5.wc (1) 0.23009814612868
re1.wc (1) 0.16545893719807
la1s.wc (1) 0.75522947236965
wap.wc (1) 0.11161000641437
ohscal.wc (1) 0.31753427112266
selwood (1) 0.96666666666667
svensson (1) 0.69613466666667
penning (1) 0.79713716666667
qsfsr1 (1) 0.73890805263158
qsfrdhla (1) 0.73333333333333
qsprcmpx (1) 0.95238095238095
qsfsr2 (1) 0.74232616666667
mtp2 (1) 0.79197261538462
yokohoma2 (1) 0.79772018181818
heyl (1) 0.5933231
yokohoma1 (1) 0.72739783333333
mtp (1) 0.98927021015959
qsbr_y2 (1) 0.81989208333333
krystek (1) 0.85793427586207
depreux (1) 0.8735582
pdgfr (1) 0.80150635897436
carbolenes (1) 0.84139583333333
rsctc2010_3 (1) 0.21276595744681
rsctc2010_4 (1) 0.28571428571429
rsctc2010_5 (1) 0.26136363636364
rsctc2010_6 (1) 0.36263736263736
auml_web_1 (1) 0.51402207345757
auml_eml_1_a (1) 0.84009598603839
auml_eml_1_b (1) 0.84009598603839
auml_eml_1_c (1) 0.84009598603839
auml_eml_1_d (1) 0.84009598603839
auml_eml_1_e (1) 0.84009598603839
auml_eml_2 (1) 0.521467060664
RelevantImagesDataset (1)
RelevantImagesDatasetTEST (1) 0.9222741779856
iris (50)
wine (5)
WorkersCompensation (1) -20926.773870439
autism-adult-data (1)
polish-bankruptcy-1year (1)
beijing-pm2.5 (1)
behavior-urban-traffic (1)
caesarian-section (1)
iris (49)
letter (3)
libras (1)
pendigits (3)
pendigits (4)
satimage (2)
segment (4)
segment (5)
CMC_Data (1)
dgf_test (1) 1
dgf_test (2) 1
shill-bidding (1) 0.81107594936709
spo (1)
stock (3)
vehicle (3)
vehicle (4)
vowel (4)
vowel (5)
wine (4)
wisconsin (3)
yeast (9)
cpu (4)
diau (1)
dtt (1)
ecoli (4)
elevators (4)
fried (3)
glass (4)
glass (5)
heat (1)
housing (1)
kits-subset (1) 1
kits-subset (2) 1
kits-subset (3) 0.52525252525253
kits-subset (4) 0.60606060606061
Midwest_survey (15) 0.14836154123154
Higgs (3) 0.999998999999
SKdailyCOVID19 (1)
KDDCup09-Upselling (2) 0.86263725274505
KDDCup09-Appetency (2) 0.96479929598592
KDDCup09-Churn (2) 0.86445728914578
SWERAS (1)
Soccer_Stats (1)
KDDCup09-Appetency (1) 0.96479929598592
KDDCup09-Churn (1) 0.86445728914578
KDDCup09-Upselling (1) 0.86263725274505
PCam16k (1) 0.50734420901306
PCam16k (2) 0.50009375585974
bankmarketing (1)
bankmarketing2 (1)
OxfordPets (1) 1
OxfordPets (2) 0.027354382144801
SCADI (1)
bias-correction (1)
absenteeism-at-work (1)
burst-header-packet (1)
AI4I2020 (1)
acp-lung-cancer (1)
Midwest_survey (16) 0.14836154123154
Midwest_survey (17) 0.18531889290012
nba-shot-logs (1)
PrimeForm (1)
test-upload (1)
kits (1) 0.48648648648649
PCam (1) 0.49862465616404
gnfuv-pi-4 (1)
gnfuv-pi-5 (1)
polish-bankruptcy-2year (1)
polish-bankruptcy-3-year (1)
polish-bankruptcy-4year (1)
polish-bankruptcy-5year (1)
digital-colposcopy-green (1)
gas-turbine-2011 (1)
gas-turbine-2012 (1)
gas-turbine-2013 (1)
gas-turbine-2014 (1)
gas-turbine-2015 (1)
gnfuv-pi-2 (1)
gnfuv-pi-3 (1)
digital-colposcopy-hinselmann (1)
digital-colposcopy-schiller (1)
online-shoppers-intention (1)
early-stage-diabetes (1)
metro-interstate-traffic (1)
hungarian-chickenpox (1)
cnn-stock-pred-dji (1)
cnn-stock-pred-nasdaq (1)
cnn-stock-pred-nyse (1)
cnn-stock-pred-russell (1)
cnn-stock-pred-sp (1)
electrical-grid-stability (1)
hcv-data (1)
communities-and-crime (1)
avila (1)
Beijing-Multi-Site-Air-Quality (1)
olindda_outliers (1) 0.27027027027027
Kassa (1)
Kassa (2)
test (10)
TSLASTOCKPRICES010120-020621 (1)
test_data (1)
pm25dataset (1)
iris (46)
dataset_time_8 (2)
dataset_time_9 (1)
dataset_time_10 (1)
ricci_vs_destefano (1) 1
ZOO (3)
auml_url_1 (1) 0.56325619834711
auml_url_2 (1) 0.49832134292566
auml_url_3 (1) 0.21168536958011
Airlines_DepDelay_1M (1) -16.955274955275
colleges (12) 0.78721842254319
OnlineNewsPopularity (2) -4072.4621749111
abalone (5) -1.0960249042146
nyc-taxi-green-dec-2016 (3) -1.1205887074319
us_crime (2) 0.76171600602107
porto-seguro (3) 0.92985680708186
KDDCup99 (5) 0.99987363298036
anneal (4) 0.60646599777035
BNG(vehicle) (2) 0.25086425086425
medical_charges (7) -1978.3120166982
NASA_PHM2008 (1) -0.98571335235316
NASA_PHM2008_1 (1) -0.98571335235316
NaijaCOVID-19 (1)
speeddating (2)
asdfasdfasdfasdfasdfSdfasdfasd (1)
authorship (1)
authorship (2)
blocks (1)
bodyfat (3)
breast (2)
calhousing (1)
cold (1)
wingstop_stock_prices (1)
wingstop_stock_prices (2)
Brazilian_houses (4) -5063.2563838743
MY_DB (1)
weather (11)
weather (12)
test (9)
testdata (2)
testnew2 (1)
test3 (1)
iris (47)
iris (48) 0.98657718120805
danish_pronunciation (1)
rsctc2010_1 (1) 0.43269230769231
rsctc2010_2 (1) 0.43269230769231
ASP-POTASSCO-regression (1) -88.390907933483
ASP-POTASSCO-classification (1) 0.34261407579273
MIP-2016-PAR10-regression (1) -22885.621878487
MIP-2016-PAR10-classification (1) 0.35944700460829
employee_salaries (14) -31436.273031321
Football_players_Fifa_stats (1)
visualizing_ethanol (1) 0.79889655172414
chscase_geyser1 (1) -18.380090497738
LEV (1) -0.049049049049049
FacultySalaries (1) -3.969387755102
MIP-2016-regression (1) -22885.621878487
MIP-2016-classification (1) 0.35944700460829
rabe_166 (1) -1.5384615384615
rmftsa_ctoarrivals (1) -26506.817490494
sleuth_ex1605 (1) -14.786885245902
chscase_vine2 (1) -50.680453961456
visualizing_galaxy (1) -15.888198757764
chscase_vine1 (1) -1.1764705882353
rabe_131 (1) 0.93877551020408
chatfield_4 (1) -22.466666666667
hutsof99_child_witness (1) -10.575609756098
rabe_97 (1) -4684.0666666667
rabe_176 (1) -1.4559198550725
sleuth_ex1221 (1) -49.556097560976
chscase_foot (1) 0.99619047619048
chscase_health (1)
visualizing_hamster (1) 0.50448227777778
rabe_148 (1) 0.98461538461538
chscase_census3 (1) 0.98915614035088
chscase_census2 (1) 0.4326671679198
chscase_demand (1) -145
visualizing_environmental (1) -2.4918181818182
chscase_funds (1)
hutsof99_logis (1) 0.18086956521739
Premier_League_matches (1)
Premier_League_odds_and_prob (1)
heart-failure (1)
physicochemical-protein (1)
OVA_Uterus (1) 0.98769430051813
OVA_Omentum (1) 0.98769430051813
AP_Ovary_Lung (1) 0.94117647058824
AP_Endometrium_Prostate (1) 0.85271317829457
OVA_Endometrium (1) 0.98769430051813
AP_Colon_Omentum (1) 0.9475138121547
AP_Endometrium_Breast (1) 0.9529702970297
AP_Omentum_Uterus (1) 0.905
AP_Omentum_Prostate (1) 0.86896551724138
AP_Colon_Lung (1) 0.95377128953771
AP_Breast_Omentum (1) 0.9547619047619
AP_Endometrium_Colon (1) 0.94508670520231
OVA_Kidney (1) 0.98769430051813
AP_Colon_Prostate (1) 0.94632768361582
AP_Lung_Uterus (1) 0.92369477911647
AP_Colon_Kidney (1) 0.9651376146789
OVA_Breast (1) 0.98769430051813
AP_Uterus_Kidney (1) 0.95039164490862
OVA_Lung (1) 0.98769430051813
AP_Prostate_Uterus (1) 0.90104166666667
AP_Omentum_Lung (1) 0.90594059405941
AP_Prostate_Kidney (1) 0.94207317073171
AP_Breast_Colon (1) 0.9697933227345
OVA_Prostate (1) 0.98769430051813
AP_Omentum_Kidney (1) 0.94345238095238
AP_Breast_Prostate (1) 0.95388349514563
fri_c4_100_100 (1) -0.2537484204202
fri_c0_250_25 (1) -0.15648492259036
fri_c0_500_10 (1) -0.13726636993988
fri_c2_100_25 (1) -0.20717392305119
fri_c1_100_5 (1) -0.18904469078788
fri_c2_250_10 (1) -0.13999110183936
fri_c3_250_25 (1) -0.10532699250602
emotions (4)
fri_c3_500_50 (1) -0.090274060648096
fri_c3_500_10 (1) -0.1053651381519
fri_c1_250_10 (1) -0.075216850876304
fri_c1_250_50 (1) -0.18741030319197
fri_c0_500_5 (1) -0.12169187274549
fri_c0_500_50 (1) -0.14651796389178
fri_c0_100_25 (1) -0.2095773130101
DEE (1) 0.41872651098901
fri_c0_250_5 (1) -0.17398766399197
fri_c4_250_100 (1) -0.13068083721285
fri_c3_500_25 (1) -0.14566560940681
fri_c1_500_25 (1) -0.11631715316753
fri_c1_1000_50 (1) -0.091309148015937
fri_c4_500_25 (1) -0.19459758683687
AP_Breast_Kidney (1) 0.96849087893864
AP_Endometrium_Ovary (1) 0.92635658914729
AP_Colon_Uterus (1) 0.95354523227384
OVA_Colon (1) 0.98769430051813
AP_Ovary_Uterus (1) 0.94080996884735
AP_Lung_Kidney (1) 0.95064935064935
AP_Prostate_Ovary (1) 0.92857142857143
AP_Colon_Ovary (1) 0.96066252587992
AP_Endometrium_Lung (1) 0.89784946236559
AP_Prostate_Lung (1) 0.9020618556701
AP_Omentum_Ovary (1) 0.93065693430657
AP_Endometrium_Kidney (1) 0.940625
AP_Breast_Uterus (1) 0.9593147751606
AP_Ovary_Kidney (1) 0.95842450765864
AP_Breast_Lung (1) 0.95948827292111
AP_Endometrium_Omentum (1) 0.86131386861314
AP_Endometrium_Uterus (1) 0.89673913043478
AP_Breast_Ovary (1) 0.96487985212569
FOREX_eurusd-day-High (1) 0.53649237472767
FOREX_audcad-day-High (1) 0.54009819967267
FOREX_cadchf-hour-High (1) 0.54219149324571
FOREX_eurcad-day-High (1) 0.55046372067649
MeanWhile1 (1) 0.82539682539683
FOREX_usddkk-day-High (1) 0.54724194429274
FOREX_eurhuf-hour-High (1) 0.5846568090544
FOREX_eurcad-day-Close (1) 0.48499727223131
FOREX_eurchf-minute-Close (1) 0.48522106540301
FOREX_eurhkd-minute-High (1) 0.54912608856452
FOREX_eurusd-minute-Close (1) 0.49346927806853
yeast (5) 0.51894451962111
yeast (6) 0.51894451962111
allhyper (1) 0.94854111405836
auto (1) 0.75621890547264
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (1) 0.99937460913071
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (1) 0.99937460913071
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (1) 0.99937460913071
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (1) 0.99937460913071
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (1) 0.99937460913071
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (1) 0.99937460913071
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (2) 0.99937460913071
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (2) 0.99937460913071
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (2) 0.99937460913071
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (2) 0.99937460913071
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (2) 0.99937460913071
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (2) 0.99937460913071
agaricus-lepiota (1) 0.72679273084479
analcatdata_fraud (1) 0.63414634146341
xd6 (1) 0.58539094650206
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (3) 0.99937460913071
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (3) 0.99937460913071
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (3) 0.99937460913071
breast (1) 0.97277936962751
cars1 (1) 0.49104859335038
calendarDOW (1) 0.38693467336683
car-evaluation (1) 0.59930515344528
clean1 (1) 0.99789473684211
clean2 (1) 0.99984841594664
corral (1) 0.85534591194969
Titanic (2) 0.56681818181818
tokyo1 (1) 0.53131524008351
parity5_plus_5 (1) 0.47729296527159
allbp (1) 0.91858923362503
allrep (1) 0.93688676743569
analcatdata_happiness (1) 0.96610169491525
cleve (1) 0.93708609271523
ecoli (3) 0.98773006134969
fars (1) 0.33007814434419
glass2 (1) 0.5
hypothyroid (3) 0.99968374446553
led24 (1) 0.098468271334792
led7 (1) 0.96905282900907
magic (1) 0.99994742100005
mofn-3-7-10 (1) 0.66742252456538
cleveland-nominal (1) 0.36423841059603
crx (1) 0.97242380261248
dis (1) 0.96923892866614
parity5 (1) 0.54838709677419
pima (1) 0.97522816166884
mux6 (1) 0.31496062992126
thyroid-new (1) 0.99065420560748
postoperative-patient-data (3) 0.64367816091954
solar-flare (3) 0.30254777070064
solar-flare (4) 0.22065727699531
threeOf9 (1) 0.49315068493151
NPSdecay (1)
qType_2prev (1) 0.67376214223879
qType_5prev (1)
qType_30prev (1)
MNIST (1) -2.3034403780706
convex (1) 0.93041259332057
mnist_rotation (1) -2.3122953596026
secom (1) 0.78033205619413
CF-metadataset (1)
CF-metadataset-nmae (1) 0.38709677419355
USPS (1) -2.3201032591158
Breast_Cancer (1)
sylva_agnostic (2)