Measure

MaxSkewnessOfNumericAtts

Maximum skewness among attributes of the numeric type.

Value per dataset

yeast_gene (1) 4.1231056256177
robot-failures-lp2 (1) 6.1221734615051
robot-failures-lp3 (1) 6.1221734615051
ldpa (1) 0.0001074954102074
gas-drift-different-concentrations (1) 117.93489594365
skin-segmentation (1) -0.037671448318833
spoken-arabic-digit (1) 0.21259968451178
walking-activity (1) 1.2199651551161
mouseType (1) 11.368486111543
BurkittLymphoma (1) 12.017606904216
anthracyclineTaxaneChemotherapy (1) 11.720511683341
ovarianTumour (1) 14.868932319612
hepatitisC (1) 14.868932319612
variousCancers_final (1) 8.3207833374895
USCrime (1) 1.9787412574438
MercuryinBass (1) 2.7336667530207
diggle_table_a1 (1) 0.29289091110545
disclosure_z (1) 0.92133216863476
visualizing_slope (1) 0.96808096641592
disclosure_x_tampered (1) 0.29843997224172
disclosure_x_noise (1) 0.28931630068242
sleuth_case1202 (1) 1.1649578862791
sleuth_case1201 (1) 1.7671408730524
disclosure_x_bias (1) 0.98014914002026
sleuth_case1102 (1) 1.0168687635195
sleuth_case2002 (1) 0.26428193386103
rmftsa_ladata (1) 2.7488048295133
witmer_census_1980 (1) 0.43846074201772
garrat2 (1) 3.7416573867739
Phen (1) 3.1088736248074
siddiqi (1) 3.1622776601684
lewis (1) 2.6457513110646
thompson (1) 2.8284271247462
yprop_4_1 (1) 94.26027795416
tsutumi (1) 3.605551275464
strupcz (1) 5.8309518948453
PHENETYL1 (1) 4.1908118621773
cristalli (1) 5.6568542494924
qqdefects_numeric (1) 1.7365819913867
nasa_numeric (1) 4.2570471575708
KDDCup99 (1) 699.21244334703
gina_prior (1) 58.889727457364
BNG(spectf_test) (1) -0.74044194101308
BNG(adult) (1) 1.0048444077396
BNG(satimage) (1) 0.88574645045192
BNG(baseball) (1) 2.0125753186617
BNG(wisconsin) (1) 2.1111336296309
BNG(cleveland) (1) 1.1856989014647
BNG(auto_price) (1) 2.5910733969303
BNG(cpu_act) (1) 5.7553283377513
Goteborg_52 (1) 4.9791570437712
BNG(primary-tumor) (1)
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
Dorothea (1) 33.911649915626
NELL (1)
KDD98 (1) 242.10291818127
sulfur (1) 6.7251742778044
debutanizer (1) 1.7721836200925
BNG(letter,5000,1) (1) 1.0209374858757
BNG(letter,5000,5) (1) 1.0229416399326
BNG(letter,5000,10) (1) 1.0358851276295
BNG(letter,10000,1) (1) 1.0171553371221
BNG(letter,10000,5) (1) 1.0212134675244
BNG(letter,10000,10) (1) 1.0229380930365
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) 2.5557924863119
BNG(autos,1000,5) (1) 2.5489529641956
BNG(autos,1000,10) (1) 2.5473133898107
BNG(autos,5000,1) (1) 2.5686823172002
BNG(autos,5000,5) (1) 2.5557992560638
BNG(autos,5000,10) (1) 2.5526184576879
BNG(autos,10000,1) (1) 2.5773498810239
BNG(autos,10000,5) (1) 2.5589480824027
appendicitis (1) 2.0405760464787
arcene (1) 14.142135623731
colon-cancer (1) 2.0606047083809
svmguide1 (1) 2.5412789839788
duke-breast-cancer (1) 7.1123601713979
fourclass (1) 0.60185622794756
german.numer (1) 6.5272361785831
iris-test (1) 0.33405266217209
BNG(autos,10000,10) (1) 2.556367483969
BNG(lymph,1000,5) (1) 1.0532069780602
BNG(lymph,1000,10) (1) 1.0982467085973
BNG(lymph,5000,1) (1) 0.84507973355616
BNG(lymph,5000,5) (1) 0.83454846949773
BNG(lymph,5000,10) (1) 0.94670754977535
BNG(lymph,10000,1) (1) 0.90314041954485
BNG(lymph,10000,5) (1) 0.83661473028737
BNG(lymph,10000,10) (1) 0.83374182276529
KungChi3 (1) 3.7306789549643
KnuggetChase3 (1) 6.8691322212417
MindCave2 (1) 4.1755703555473
a1a (1) 180.44666802123
a2a (1) 180.44666802124
a3a (1) 180.44666802124
a4a (1) 180.44666802124
a5a (1) 180.44666802125
a6a (1) 180.44666802126
a7a (1) 180.44666802128
a8a (1) 180.44666802118
a9a (1) 221.00226243213
MyIris (1) 0.33405266217209
physionet_asystole (1) 3.0213193938313
physionet_bradycardia (1) 1.6831564100531
physionet_tachycardia (1) 1.1611268274092
contact-lenses (1)
cpu.with.vendor (1) 4.3040240207376
COMET_MC (2) 17.118745663776
COMET_MC (1) 17.118745663776
IBO (1) 0.33850042231528
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 4.2426406871193
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 1.7802977125666
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 5.0291995487618
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 3.9650527397209
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 3.605551275464
COMET_MC_SAMPLE (1) 16.164049958557
COMET_MC_SAMPLE (4) 16.164049958557
MiceProtein (1) 4.7389003242754
KEGGMetabolicReactionNetwork (1) 17.434763056925
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 9.1104335791443
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 9
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 3.1622776601684
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 3.9888643449331
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) 4.7210052663209
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 5.2915026221292
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 3.261429773219
hiva_agnostic (1) 22.934689963628
vowel (3) 0.35706042212104
cocomo_numeric (1) 2.6815951523531
humans_numeric (1) 6.793355345721
kc1-numeric (1) 8.4249106909929
cjs (2) 6.5277310169861
ERA (1) 0.30427988766108
SMSA (1) 5.5523566684677
Brainsize (1) 0.47647462120437
Acorns (1) 2.125972637948
Cereals (1) 2.4637037869955
ICU (1) 4.1607541057052
pubexpendat (1) 2.3431589246643
EgyptianSkulls (1) 0.14089417917293
ESL (2) -0.10017959106232
ada_prior (1) 10.75312194029
visualizing_soil (1) 0.56159521840026
cloud (2) 2.1991167086635
BNG(anneal,1000,1) (1) 1.367415278718
BNG(anneal,1000,5) (1) 1.3646269911684
BNG(anneal,1000,10) (1) 1.3626880051873
BNG(anneal,5000,1) (1) 2.4240244233483
BNG(anneal,5000,5) (1) 1.3682072318844
BNG(anneal,5000,10) (1) 1.3696245403953
BNG(anneal,10000,1) (1) 2.5970585902048
BNG(anneal,10000,5) (1) 1.7236917776653
BNG(anneal,10000,10) (1) 1.3686885613098
BNG(anneal.ORIG,1000,1) (1) 1.4001889648357
TAM_k_d (1) 16.093476939431
eating (1) 30.682853069413
Agrawal1 (1) 0.9653763720631
Stagger1 (1)
Stagger2 (1)
Stagger3 (1)
BNG(anneal.ORIG,1000,5) (1) 1.4377373311776
BNG(anneal.ORIG,1000,10) (1) 1.3586009894932
BNG(anneal.ORIG,5000,1) (1) 2.6537476005288
BNG(anneal.ORIG,5000,5) (1) 1.4005661861011
BNG(anneal.ORIG,5000,10) (1) 1.3935076019875
BNG(anneal.ORIG,10000,1) (1) 2.7552753442093
BNG(anneal.ORIG,10000,5) (1) 1.8508841400604
BNG(anneal.ORIG,10000,10) (1) 1.400616052116
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) 1.0231340671956
BNG(letter,1000,5) (1) 1.0580391570595
BNG(letter,1000,10) (1) 1.0706751703517
BNG(SPECT) (1)
BNG(SPECTF) (1) -0.70400473041824
BNG(mv) (1) 0.95867358368893
BNG(JapaneseVowels) (1) 1.4115078797284
Click_prediction_small (1) 796.59886927334
Click_prediction_small (2) 351.3894309769
Click_prediction_small (3) 717.41900021967
Click_prediction_small (4) 213.59687935187
BNG(breastTumor) (1) 0.063982733873507
BNG(cpu_small) (1) 3.5243411313629
BNG(pwLinear) (1) 0.19912850673404
BNG(wine_quality) (1) 2.2356382677087
BNG(Australian) (1) 3.0311209761408
BNG(satellite_image) (1) 0.87028362092702
BNG(Ailerons) (1) 14.012026408234
BNG(libras_move) (1) 0.19767387607776
BNG(puma32H) (1) 0.026158538509075
codrnaNorm (1) 1.6454722514216
vehicleNorm (1) 7.9834364648064
lungcancer_shedden (1) 4.1674657765559
letter-challenge-unlabeled.arff (1) 1.1599750154236
letter-challenge-labeled.arff (1) 1.1599750154236
Click_prediction_small (7) 213.59647833788
Click_prediction_small (6) 213.59647833788
nki70.arff (1) 1.9486167818296
BNG(pbc) (1) 2.6677953599427
BNG(autoHorse) (1) 2.5837861629969
BNG(lowbwt) (1) 1.224283697218
BNG(cholesterol) (1) 1.153790849086
BNG(autoPrice) (1) 2.5897961228329
BNG(pharynx) (1) 1.0431458306441
BNG(2dplanes) (1) 0.021613005359757
BNG(elevators) (1) 56.579506482173
BNG(echoMonths) (1) 1.2274221646625
BNG(stock) (1) 0.76633944271113
fourclass_scale (1) 0.60185622794756
german.numer (2) 6.5272361785831
gisette (1) 83.666002653407
heart (1) 1.991970558993
ijcnn (1) 2.7411098217497
rcv1.binary (1) 835.24906473694
real-sim (1) 267.18092750087
splice (3) 0.67605459193052
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) 0.0039778454518569
poker-hand (2) 0.0039841437401907
connect-4 (1) 61.23996630646
aloi (1) 28.429155161053
SensIT-Vehicle-Combined (1) 7.9834352861037
poker (2) 2.0068354375848
SPECTF (2) -0.8821056334415
w1a (1) 67.230269565358
w2a (1) 67.230269565351
w3a (1) 67.23026956534
w4a (1) 67.230269565321
w5a (1) 67.230269565303
w6a (1) 67.230269565217
w7a (1) 67.230269565249
w8a (1) 65.654652800395
svmguide3 (1) 10.086478698273
wisconsin (1) 3.9015745866137
vineyard (1) 0.26967334721265
bolts (1) 1.4624553897798
cpu_act (1) 21.542019683245
SEA(50) (1) 0.00010295054591335
SEA(50000) (1) 0.00012812680271116
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) 11.618472351028
sleep (1) 6.5636080628338
triazines (1) 13.638181696986
detroit (1) 1.0277105820503
Hyperplane_10_1E-4 (1) 0.00049099247689993
LED(50000) (1)
pokerhand (1) 1.2430699025732
RandomRBF_0_0 (1) 0.26196321908662
RandomRBF_10_1E-3 (1) 0.2848970561505
RandomRBF_10_1E-4 (1) 0.28649258319732
RandomRBF_50_1E-3 (1) 0.0034195615780593
RandomRBF_50_1E-4 (1) 0.0051919157984722
BNG(anneal,nominal,1000000) (1)
gascons (1) 1.1668770525409
elusage (1) 0.88801538496147
longley (1) 0.31891198064885
diabetes_numeric (1) -0.23448445693341
baskball (1) 0.44324641540984
2dplanes (1) 0.010294939688593
elevators (1) 103.70687088536
house_8L (1) 74.16685526289
BNG(waveform-5000) (1) 0.27087904683012
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) 3.2953371440797
BNG(pendigits) (1) 0.9271790287658
BNG(cylinder-bands) (1) 9.8392964888804
BNG(dermatology) (1) 0.087688139091471
BNG(sonar) (1) 2.0784922320224
BNG(glass) (1) 2.9785793361816
BNG(heart-c) (1) 1.1732777467473
BNG(vehicle) (1) 2.2094084914112
BNG(hepatitis) (1) 2.3818720649508
BNG(mfeat-karhunen) (1) 0.39525709849563
BNG(bridges_version1) (1) 1.4769781921356
BNG(mfeat-zernike) (1) 1.5034817027717
BNG(colic.ORIG) (1) 2.8372065804688
BNG(colic) (1) 2.8369444435817
BNG(credit-a) (1) 2.868682278372
BNG(page-blocks) (1) 4.0385197656303
BNG(credit-g) (1) 1.8771002354843
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) 0.7466455482245
bridges (1) 1.7361494689592
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) -0.893214641549
spectf_train (1) 0.10947816671107
covertype (2) 440.07802337444
satellite_image (1) 0.91870908369884
Ailerons (1) 2.3661880328928
coil2000 (1) 39.361015391859
libras_move (1) 0.1919951286035
cjs (1) 6.5277310169861
doherty (1) 2.4494897427832
chang (1) 5.8309518948453
qsabr2 (1) 1.0717146705209
qsabr1 (1) 1.411161839953
prnn_crabs (1) 0.025954345408954
arsenic-male-bladder (1) 10.161289845616
iq_brain_size (1) 1.2571753088114
papir_2 (1) 1.4073168574149
hip (1) -0.22688294824211
tr31.wc (1) 30.446109454371
oh15.wc (1) 29.86694917359
new3s.wc (1) 97.745587016452
qsbralks (1) 2.1779622612418
stevenson (1) 2.2360679774998
qsartox (1) 1.6278476169413
benzo32 (1) 1.6668112917567
uehling (1) 3
rosowky (1) 3.1622776601684
garrat (1) 3.1622776601684
detroit (2) 1.0277105820503
kidney (1) 2.0078922977935
bank32nh (1) 2.2344171961992
bodyfat (1) 2.2551342899671
cpu (1) 4.3040240207376
cpu_small (2) 13.897852242775
meta (1) 14.693831886487
kdd_coil_1 (1) 3.029696018812
kdd_coil_2 (1) 3.029696018812
auto93 (1) 1.7044301461483
kdd_coil_3 (1) 3.029696018812
delta_elevators (2) 0.15585894727616
bank8FM (1) 2.1183202085959
cpu_act (2) 21.542019683245
house_16H (1) 72.749904247791
kdd_coil_4 (1) 4.4355510776451
kdd_coil_5 (1) 3.029696018812
kdd_coil_6 (1) 3.029696018812
kdd_coil_7 (1) 4.1687995126049
wind (1) 0.90325734345427
tecator (1) 1.6882280352459
space_ga (1) 0.58790837751393
nflpass (1) 2.1383194837506
places (1) 5.9781824810699
sleep (2) 6.5636080628338
pm10 (1) 0.82389864397706
pbc (2) 3.4085258557214
humandevel (1) 0
pollen (1) 0.10979375313045
boston (1) 5.2231487982439
arsenic-female-bladder (1) 9.8834803044601
cps_85_wages (1) 1.6972855002955
arsenic-male-lung (1) 10.108970431437
houses (1) 4.9358582267271
socmob (1) 7.193711684481
pollution (1) 5.5934223578714
boston_corrected (1) 5.2231487982439
transplant (1) 2.7510227814796
lmpavw (1) -0.14609109787211
sensory (1) -0.040489644161149
no2 (1) 0.82584221098837
strikes (1) 6.417627083053
plasma_retinol (1) 13.823045949209
balloon (1) -2.9163403514069
arsenic-female-lung (1) 9.6772778113906
pbcseq (1) 6.2424042835769
newton_hema (1) 2.7116537909431
wind_correlations (1) 2.6169675789309
veteran (1) 4.1511157397224
us_crime (1) 7.4720308646962
mbagrade (1) 0.053011366895483
BNG(anneal) (1) 2.9738682985849
BNG(anneal.ORIG) (2) 3.0499300074856
BNG(labor) (2) 3.2199559093683
BNG(letter) (2) 1.0178773893347
BNG(autos) (1) 2.5830370522826
BNG(lymph) (1) 4.4117113766933
BNG(mfeat-fourier) (1) 0.8779772177632
chembl1075021test1 (1) 5.9160797830996
mv (1) 0.97376497739295
aids (1) 2.6963432913806
ozone_level (1) 5.6397682836189
puma32H (1) 0.025773471625597
wine_quality (1) 5.3998277319702
bridges (3) 1.7361494689592
bridges (4)
la2s.wc (1) 55.293931472499
oh5.wc (1) 29.916092220869
re1.wc (1) 39.918112447136
la1s.wc (1) 56.519350389819
wap.wc (1) 39.001773969412
ohscal.wc (1) 104.60549650027
selwood (1) 5.2677450576447
svensson (1) 3.605551275464
penning (1) 3.605551275464
qsfsr1 (1) 2.3817128957786
qsfrdhla (1) 2.06960109338
qsprcmpx (1) 4.6749684694888
qsfsr2 (1) 1.6228809290582
mtp2 (1) 16.552945357247
yokohoma2 (1) 3.4641016151378
heyl (1) 3.3166247903554
yokohoma1 (1) 3.605551275464
mtp (1) 40.641225519092
qsbr_y2 (1) 1.7066762098861
krystek (1) 5.4772255750517
depreux (1) 5.0990195135928
pdgfr (1) 8.8881944173156
carbolenes (1) 6.0827625302982
rsctc2010_3 (1) 4.5557514278595
rsctc2010_4 (1) 10.222079247608
rsctc2010_5 (1) 6.5147878284404
rsctc2010_6 (1) 9.2737219666731
rsctc2010_1 (1) 9.4049577063823
rsctc2010_2 (1) 9.4049577063823
ASP-POTASSCO-regression (1) 33.170362568931
ASP-POTASSCO-classification (1) 33.211443810831
MIP-2016-PAR10-regression (1) 14.68324947503
MIP-2016-PAR10-classification (1) 14.764823060233
employee_salaries (14) 2.7464783881883
Football_players_Fifa_stats (1) 2.958864688989
visualizing_ethanol (1) 0.34184113031988
chscase_geyser1 (1) -0.061878201434131
FacultySalaries (1) 1.2555462968012
MIP-2016-regression (1) 14.68324947503
MIP-2016-classification (1) 14.764823060233
rabe_166 (1) 0.139596709808
rmftsa_ctoarrivals (1) 0.88217180948895
sleuth_ex1605 (1) 0.23909404159065
chscase_vine2 (1) 0.76051102727981
visualizing_galaxy (1) 0.15510646556056
chscase_vine1 (1) 0.50187685321941
rabe_131 (1) 1.6562151246964
chatfield_4 (1) 1.3073869469687
hutsof99_child_witness (1) 0.63728863581199
rabe_97 (1) 0.56741644099161
rabe_176 (1) 0.010436284460701
sleuth_ex1221 (1) 5.4491453360573
chscase_foot (1) 2.6149441208377
chscase_health (1) -0.041630188812718
visualizing_hamster (1) 1.4716875006623
rabe_148 (1) 2.4194030219332
chscase_census3 (1) 0.12711249732193
chscase_census2 (1) 2.6807392003465
chscase_demand (1) 1.1668770525409
visualizing_environmental (1) 1.2652664862881
chscase_funds (1) 0.67417735853142
hutsof99_logis (1) 0.23759060759453
Premier_League_matches (1) 1.0440562667097
Premier_League_odds_and_prob (1) 2.1053619863654
OVA_Uterus (1) 39.19363683221
OVA_Omentum (1) 39.193636832209
AP_Ovary_Lung (1) 17.979947725007
AP_Endometrium_Prostate (1) 11.392330448947
OVA_Endometrium (1) 39.193636832209
AP_Colon_Omentum (1) 19.040619621113
AP_Endometrium_Breast (1) 20.122191238702
AP_Omentum_Uterus (1) 14.170336128891
AP_Omentum_Prostate (1) 12.076240635063
AP_Colon_Lung (1) 20.290004413801
AP_Breast_Omentum (1) 20.51577316844
AP_Endometrium_Colon (1) 18.616630443678
OVA_Kidney (1) 39.193636832209
AP_Colon_Prostate (1) 18.827098913739
AP_Lung_Uterus (1) 15.799247747447
AP_Colon_Kidney (1) 23.362574616609
OVA_Breast (1) 39.19363683221
AP_Uterus_Kidney (1) 19.585268046822
OVA_Lung (1) 39.193636832209
AP_Prostate_Uterus (1) 13.876218404203
AP_Omentum_Lung (1) 14.237897578278
AP_Prostate_Kidney (1) 18.128395852106
AP_Breast_Colon (1) 25.095278177851
OVA_Prostate (1) 39.19363683221
AP_Omentum_Kidney (1) 18.347096136837
AP_Breast_Prostate (1) 20.319771888744
fri_c4_100_100 (1) 1.5073566812676
fri_c0_250_25 (1) 0.22964449517397
fri_c0_500_10 (1) 0.055102972446614
fri_c2_100_25 (1) 0.58856479434325
fri_c1_100_5 (1) 0.38171572740149
fri_c2_250_10 (1) 0.79806281551262
fri_c3_250_25 (1) 1.3395947107114
emotions (4) 4.0389324642013
fri_c3_500_50 (1) 1.7421699792676
fri_c3_500_10 (1) 1.2851944771074
fri_c1_250_10 (1) 0.19367765252001
fri_c1_250_50 (1) 0.21032973097751
fri_c0_500_5 (1) 0.1495625601744
fri_c0_500_50 (1) 0.11946430201682
fri_c0_100_25 (1) 0.2439307548886
fri_c0_250_5 (1) -0.002055116059341
fri_c4_250_100 (1) 1.6191100005588
fri_c3_500_25 (1) 1.56357285015
fri_c1_500_25 (1) 0.13546867416825
fri_c1_1000_50 (1) 0.11803005932847
fri_c4_500_25 (1) 1.2996999145793
AP_Breast_Kidney (1) 24.571743933127
AP_Endometrium_Ovary (1) 16.091225576319
AP_Colon_Uterus (1) 20.233622689861
OVA_Colon (1) 39.19363683221
AP_Ovary_Uterus (1) 17.941167216704
AP_Lung_Kidney (1) 19.637034102082
AP_Prostate_Ovary (1) 16.337424631848
AP_Colon_Ovary (1) 21.989029423675
AP_Endometrium_Lung (1) 13.66561494832
AP_Prostate_Lung (1) 13.953279505027
AP_Omentum_Ovary (1) 16.580705148625
AP_Endometrium_Kidney (1) 17.906999733585
AP_Breast_Uterus (1) 21.630372682148
AP_Ovary_Kidney (1) 21.393738890327
AP_Breast_Lung (1) 21.66594291103
AP_Endometrium_Omentum (1) 11.743422584473
AP_Endometrium_Uterus (1) 13.580677573339
AP_Breast_Ovary (1) 23.26826260291
MeanWhile1 (1) 8.1251429887946
yeast (5) 12.714845944724
yeast (6) 12.714845944724
allhyper (1) 1.4061756339197
auto (1) 2.5882807104315
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) 13.675325941281
cars1 (1) 1.0873262824049
calendarDOW (1) -0.60313637970308
car-evaluation (1)
clean1 (1) 13.575335342051
clean2 (1) 6.3182529438298
corral (1)
Titanic (2) 4.1555140733871
tokyo1 (1) 30.967725134406
parity5_plus_5 (1)
allbp (1) 1.4059442874713
allrep (1) 1.4059442874713
analcatdata_happiness (1) 1.0680641879104
cleve (1) 1.269719930602
ecoli (3) 10.34358804012
glass2 (1) 11.76557165607
hypothyroid (3) 1.370764835336
led24 (1)
led7 (1)
magic (1) 3.3716279807755
mofn-3-7-10 (1)
cleveland-nominal (1)
crx (1) 13.140655014445
dis (1) 1.4059442874713
parity5 (1)
pima (1) 2.2722508584316
mux6 (1)
thyroid-new (1) 5.4922826775862
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
NPSdecay (1) 0.97410455022996
qType_2prev (1) 105.4373633907
qType_5prev (1) 146.50351150668
qType_30prev (1) 290.99664316979
MNIST (1) 248.99799196115
convex (1) 1.2795071998708
mnist_rotation (1) 0.21944262471318
secom (1) 39.562779260181
CF-metadataset (1) 5.648177733607
CF-metadataset-nmae (1) 5.648177733607
USPS (1) 9.3933939613238
Breast_Cancer (1)
sylva_agnostic (2) 2.0187570748902
ada_agnostic (2) 10.752944394703
climate-model-simulation-chrashes (1) 0.0012745617924135
jungle_chess_2pcs_endgame_panther_lion (1) 0.96164799870132
jungle_chess_2pcs_endgame_panther_lion (2) 0.96164799870132
jungle_chess_2pcs_endgame_elephant_elephant (1) 1.3544077728283
jungle_chess_2pcs_endgame_panther_elephant (1) 1.3545725753196
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) 12.564657115434
Moneyball (2) 0.29856263487726
orcid (1) 5.508075333342
food-truck-test (1) 1.9090571766475
random-teste (1) -1.1503304733144
gisette (2) 83.666002653407
data-v3.en-es-lit.clean.anno.uniform.20top (1) 4.4721359549996
data-v3.en-es-lit.clean.anno.uniform.without_20top (1) 10.415674774214
jungle_chess_2pcs_endgame_complete (1) 1.1679782221317
jungle_chess_2pcs_endgame_rat_panther (1) 1.188799667773
jungle_chess_2pcs_endgame_rat_elephant (1) 1.188799667773
jungle_chess_2pcs_endgame_lion_elephant (1) 0.96164799870145
jungle_chess_2pcs_endgame_rat_rat (1) 1.0963013988298
jungle_chess_2pcs_endgame_rat_lion (1) 0.93927517728967
jungle_chess_2pcs_endgame_lion_lion (1) 0.9929337743986
Diabetes (2) 2.2722508584316
Homicide (1)
data-v3.en-es-lit.clean.anno.uniform.30top (1) 5.4772255750517
data-v3.en-es-lit.clean.anno.uniform.without_30top (1) 10.172788388411
Random (1) 1.5061397256873
TestofRandom (1) 1.5061397256873
Pizza (1) 0.59543869832567
Pizza (2) 0.59543869832567
tamilnadu-electricity (3) -0.0012290972276647
climate-model-simulation-crashes (2) 0.0012745617924135
climate-model-simulation-crashes (3) 0.0012745617924135
intuit (1) 5.8252307922355
DiabetesIndia (1) 2.2722508584316
ex1-features-holiday-person-es-201610 (1)
ex1-features-holiday-person-en-201610 (1)
ex2-features-holiday-person-event-es-201610 (1)
SAT11-HAND-runtime-classification (1) 16.801638542138
Kuzushiji-MNIST (1) 35.552905306726
GTSRB-HOG01 (1) 5.107933303709
GTSRB-HOG02 (1) 4.6482178398384
GTSRB-HOG03 (1) 6.6164778624954
GTSRB-HueHist (1) 25.671814123108
1DUltrasoundMuscleContractionData (1) 0.50312261075993
Indian_pines (1) 0.96916232452203
semeion (2) 7.8353480448848
TuningSVMs (2) 12.429007179145
TuningSVMs (3) 12.429007179145
SAT11-HAND-runtime-regression (1) 16.722024829513
Kuzushiji-49 (1) 30.323819840442
cifar-10-small (1) 0.55920461096773
iris (15) 0.3189656647136
iris (16) 0.3189656647136
Weather (10) 0.36899864486967
TaskCreationTestDataset (3) 0.33405266217209
TaskCreationTestDataset (4) 0.33405266217209
USPS (3) 10.626716887182
isolet (2) 21.067332935009
cnae-9 (2) 15.49193338483
crimecommunitynums (1) 7.4720308646962
crimecommunitynums2 (1) 11.418857001807
dentaire (1) 2.2765962654484
TaskCreationTestDataset (1) 0.33405266217209
TaskCreationTestDataset (2) 0.33405266217209
seattlecrime6 (1) -0.38983511516744
exercises (1) 0.4733827009614
exercises (2) 0.4733827009614
ilpd-numeric (1) 10.546177216912
Sick_numeric (1) 61.416610131145