Measure

Quartile1SkewnessOfNumericAtts

First quartile of skewness among attributes of the numeric type.

Value per dataset

yeast_gene (1) -0.60991272199966
robot-failures-lp2 (1) -0.46276698733821
robot-failures-lp3 (1) -0.46276698733821
ldpa (1) -0.0013643650162557
gas-drift-different-concentrations (1) -2.2666848084833
skin-segmentation (1) -0.62174716774079
spoken-arabic-digit (1) -0.35412910839907
walking-activity (1) -0.3714444636664
mouseType (1) -0.11266167772863
BurkittLymphoma (1) -0.01641493839762
anthracyclineTaxaneChemotherapy (1) -0.027995343714248
ovarianTumour (1) 0.11133663067197
hepatitisC (1) 0.11133663067197
variousCancers_final (1) -0.58221478491136
USCrime (1) 0.36599585029701
MercuryinBass (1) 0.30396416613016
diggle_table_a1 (1) -0.54989288013664
disclosure_z (1) -0.20198630206908
visualizing_slope (1) -0.029119022528315
disclosure_x_tampered (1) -0.079991672900696
disclosure_x_noise (1) -0.076530212133002
sleuth_case1202 (1) 0.08976475309967
sleuth_case1201 (1) -0.74816036638511
disclosure_x_bias (1) -0.15781359926983
sleuth_case1102 (1) -0.039082164487526
sleuth_case2002 (1) -0.84387149067719
rmftsa_ladata (1) 0.56013853009908
witmer_census_1980 (1) -0.48788913856544
garrat2 (1) 0.82745250049923
Phen (1) -0.55264847446374
siddiqi (1) -0.027269536565103
lewis (1) 0.25031414900137
thompson (1) -0.41386022460621
yprop_4_1 (1) 4.1188037730714
tsutumi (1) -0.34190094414904
strupcz (1) -0.0060660453570678
PHENETYL1 (1) -0.51269589190339
cristalli (1) -0.13912706292164
qqdefects_numeric (1) 1.3961002220906
nasa_numeric (1) -0.04160974875757
KDDCup99 (1) 1.6973994483086
gina_prior (1) 0.78089316366254
BNG(spectf_test) (1) -1.7241007941337
BNG(adult) (1) -0.29160787631569
BNG(satimage) (1) -0.53604912939991
BNG(baseball) (1) 0.46823566105828
BNG(wisconsin) (1) 0.53602300486562
BNG(cleveland) (1) -0.19762598630012
BNG(auto_price) (1) 0.18827258521035
BNG(cpu_act) (1) 1.7820760925941
Goteborg_52 (1) -0.25290684150614
BNG(primary-tumor) (1)
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
Dorothea (1) 8.5949134717254
NELL (1)
KDD98 (1) 0.35509288984787
sulfur (1) -1.2402378776975
debutanizer (1) -1.4043717536745
BNG(letter,5000,1) (1) -0.1047895190011
BNG(letter,5000,5) (1) -0.11196613761292
BNG(letter,5000,10) (1) -0.11632345295629
BNG(letter,10000,1) (1) -0.10265631523452
BNG(letter,10000,5) (1) -0.10735071102484
BNG(letter,10000,10) (1) -0.1120007998315
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) 0.075674505094285
BNG(autos,1000,5) (1) 0.12273663000548
BNG(autos,1000,10) (1) 0.12743805590726
BNG(autos,5000,1) (1) 0.096391162141223
BNG(autos,5000,5) (1) 0.075582464827613
BNG(autos,5000,10) (1) 0.10052293403994
BNG(autos,10000,1) (1) 0.13382781004362
BNG(autos,10000,5) (1) 0.074465909463218
appendicitis (1) -1.1589998482653
arcene (1) 0.75273067552898
artificial-characters (1) 0.34812377548063
colon-cancer (1) -0.54032133778614
svmguide1 (1) -0.38889623112106
duke-breast-cancer (1) 0.10162328188964
fourclass (1) -0.022038841115263
german.numer (1) -0.19509228849799
iris-test (1) 0.31491109627737
BNG(autos,10000,10) (1) 0.075696020087757
BNG(lymph,1000,5) (1) 0.17684419680088
BNG(lymph,1000,10) (1) 0.1974645240498
BNG(lymph,5000,1) (1) 0.22810541141308
BNG(lymph,5000,5) (1) 0.16672040624151
BNG(lymph,5000,10) (1) 0.14178532483525
BNG(lymph,10000,1) (1) 0.22319089920733
BNG(lymph,10000,5) (1) 0.18620505948024
BNG(lymph,10000,10) (1) 0.16573562982538
KungChi3 (1) 1.6109854784264
KnuggetChase3 (1) 1.5325096896284
MindCave2 (1) 1.8220805742328
a1a (1) 1.832781322381
a2a (1) 1.832781322381
a3a (1) 1.832781322381
a4a (1) 1.832781322381
a5a (1) 1.8327813223809
a6a (1) 1.832781322381
a7a (1) 1.832781322381
a8a (1) 1.832781322381
a9a (1) 1.8350309416529
MyIris (1) -0.23209732989137
physionet_asystole (1) -0.57179867337581
physionet_bradycardia (1) -1.1088820934215
physionet_tachycardia (1) -1.1605518024728
contact-lenses (1)
cpu.with.vendor (1) 2.5441530058582
COMET_MC (2) 0
COMET_MC (1) 0
IBO (1) -0.13310976442875
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 0.64622052092761
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) -0.38218483463669
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) -0.047415918580762
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 0.029819873090051
cjs (3) 0.4116820727636
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 0.26543451039405
COMET_MC_SAMPLE (1) 0
COMET_MC_SAMPLE (4) 0
MiceProtein (1) 0.030014956042017
KEGGMetabolicReactionNetwork (1) 1.3571539073529
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 0.28978402787286
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 0.22257005192178
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) -0.27600443644185
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 0.26366425657167
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) -0.8281430052256
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 0.86030807143943
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 0.17842466329237
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) 0.26058713279238
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) -1.1646377087298
hiva_agnostic (1) 2.7955139114458
vowel (3) -0.0062226049576874
cocomo_numeric (1) 1.9298431838913
humans_numeric (1) 1.8379934112625
kc1-numeric (1) 1.4684824088883
cjs (2) 0.40445241323865
ESL (1) -0.4216318462684
SWD (1) -0.11291175820277
ERA (1) -0.14251372408715
SMSA (1) 0.066333239621364
Brainsize (1) -0.10711689228883
Acorns (1) -0.52144456011964
Cereals (1) -0.42787302003855
ICU (1) 0.34863466606087
pubexpendat (1) -0.1626089490633
EgyptianSkulls (1) -0.1094817817546
ESL (2) -0.4216318462684
ada_prior (1) 0.071756428919504
visualizing_soil (1) 0.060633827228373
cloud (2) 0.72520532935737
BNG(anneal,1000,1) (1) 0.27661080747426
BNG(anneal,1000,5) (1) 0.060489252338056
BNG(anneal,1000,10) (1) 0.00089111158059496
BNG(anneal,5000,1) (1) 0.49100600374704
BNG(anneal,5000,5) (1) 0.28334460099221
BNG(anneal,5000,10) (1) 0.075066377094574
BNG(anneal,10000,1) (1) 0.43850621739451
BNG(anneal,10000,5) (1) 0.53709467633789
BNG(anneal,10000,10) (1) 0.28968820608174
BNG(anneal.ORIG,1000,1) (1) 0.38414153125323
TAM_k_d (1) 1.3516817673543
eating (1) 0.08585153690407
Agrawal1 (1) -0.93013168220978
Stagger1 (1)
Stagger2 (1)
Stagger3 (1)
AirlinesCodrnaAdult (1) -0.71295564482798
BNG(anneal.ORIG,1000,5) (1) 0.032755890936484
BNG(anneal.ORIG,1000,10) (1) -0.0061831866609579
BNG(anneal.ORIG,5000,1) (1) 0.54508586034025
BNG(anneal.ORIG,5000,5) (1) 0.38908116561804
BNG(anneal.ORIG,5000,10) (1) 0.26605264688277
BNG(anneal.ORIG,10000,1) (1) 0.50716933505453
BNG(anneal.ORIG,10000,5) (1) 0.68731898326011
BNG(anneal.ORIG,10000,10) (1) 0.40156066119015
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) -0.11200359659504
BNG(letter,1000,5) (1) -0.12934478381307
BNG(letter,1000,10) (1) -0.13784274268508
BNG(SPECT) (1)
BNG(SPECTF) (1) -1.7606221720557
BNG(mv) (1) -0.23966840275576
BNG(JapaneseVowels) (1) -0.24703370882429
Click_prediction_small (1) -0.287761630598
Click_prediction_small (2) -0.2373692303389
Click_prediction_small (3) -0.24012029379033
Click_prediction_small (4) -0.24000518748355
BNG(breastTumor) (1) -0.0074196290932748
BNG(cpu_small) (1) 1.2282550279253
BNG(pwLinear) (1) -0.092024042037973
BNG(wine_quality) (1) 0.21966638264824
BNG(Australian) (1) -0.23332513400237
BNG(satellite_image) (1) -0.40331525847762
BNG(Ailerons) (1) -1.1327984301166
BNG(libras_move) (1) -0.32489481372265
BNG(puma32H) (1) -0.010877721155449
codrnaNorm (1) -0.89861002364762
vehicleNorm (1) 2.4085403950767
lungcancer_shedden (1) -0.017399305421557
letter-challenge-unlabeled.arff (1) -0.13733042812367
letter-challenge-labeled.arff (1) -0.13733042812367
Click_prediction_small (7) -0.27699256995024
Click_prediction_small (6) -0.24000473688853
nki70.arff (1) -0.10380658883412
BNG(pbc) (1) 0.46657025620728
BNG(autoHorse) (1) 0.1318950768415
BNG(lowbwt) (1) -0.19436150630634
BNG(cholesterol) (1) -0.20599102402156
BNG(autoPrice) (1) 0.1140845963257
BNG(pharynx) (1) 0.0081376990197734
BNG(2dplanes) (1) -0.010481764196958
BNG(elevators) (1) -1.3298584870436
BNG(echoMonths) (1) 0.18784701171349
BNG(stock) (1) -0.3278202231803
fourclass_scale (1) -0.022038841115263
german.numer (2) -0.19509228849799
gisette (1) 1.6400832434861
heart (1) -0.25464590472167
ijcnn (1) 0.35902515113409
rcv1.binary (1) 76.36025544647
real-sim (1) 38.282548366587
splice (3) -0.12434108290237
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) -0.0017526246764358
poker-hand (2) -0.0017447968358826
connect-4 (1) -0.89902052265626
aloi (1) 1.9899012883202
SensIT-Vehicle-Combined (1) 2.2812449273192
poker (2) -0.0017499922159965
SPECTF (2) -2.2695595331843
w1a (1) 3.8767980799863
w2a (1) 3.8767980799864
w3a (1) 3.8767980799865
w4a (1) 3.8767980799866
w5a (1) 3.8767980799863
w6a (1) 3.8767980799868
w7a (1) 3.8767980799869
w8a (1) 3.8919187558435
svmguide3 (1) 0.18021479267756
wisconsin (1) 0.58156198848406
vineyard (1) -1.156232682172
bolts (1) 0
cpu_act (1) 1.7899976382351
SEA(50) (1) -0.0010630684202493
SEA(50000) (1) -0.001061842188851
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) 1.8620080941903
sleep (1) 0.26655296799388
triazines (1) 0.7510090845964
detroit (1) -0.088625034522435
Hyperplane_10_1E-4 (1) -0.00093832042528193
LED(50000) (1)
pokerhand (1) -0.84443671387783
RandomRBF_0_0 (1) -0.21159098077212
RandomRBF_10_1E-3 (1) -0.14963060132172
RandomRBF_10_1E-4 (1) -0.15204558272013
RandomRBF_50_1E-3 (1) -0.0070267568122656
RandomRBF_50_1E-4 (1) -0.037404965051224
BNG(anneal,nominal,1000000) (1)
gascons (1) -1.1312062624369
elusage (1) -0.069534504150022
longley (1) -0.16200100816841
diabetes_numeric (1) -0.96837113348974
baskball (1) -0.64531915836526
2dplanes (1) -0.0097241410064693
elevators (1) -1.4388356467666
house_8L (1) -0.20161965359071
BNG(waveform-5000) (1) -0.023584143901352
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) -1.1138157494216
covertype (3) -0.87896275253055
BNG(pendigits) (1) -0.39859276490908
BNG(cylinder-bands) (1) -0.08968692585388
BNG(dermatology) (1) 0.087688139091471
BNG(sonar) (1) 0.44710817489633
BNG(glass) (1) -0.18680127095758
BNG(heart-c) (1) -0.27494348243746
BNG(vehicle) (1) 0.25100119283262
BNG(hepatitis) (1) 0.19312047479583
BNG(mfeat-karhunen) (1) -0.096824404491438
BNG(bridges_version1) (1) -0.094425608599967
BNG(mfeat-zernike) (1) 0.37749189297089
BNG(colic.ORIG) (1) 0.24931720538865
BNG(colic) (1) 0.24687711995799
BNG(credit-a) (1) 1.2679975048521
BNG(page-blocks) (1) 1.3167922623625
BNG(credit-g) (1) -0.26471954554418
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) 0.18666138705612
bridges (1) -0.11078293497156
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) -2.2555079151443
spectf_train (1) -2.1605145801488
covertype (2) 2.4559487337467
satellite_image (1) -0.38597498264936
Ailerons (1) -2.13827185131
coil2000 (1) 0.47955110014789
libras_move (1) -0.30418916306749
cjs (1) 0.40445241323865
doherty (1) 0.075449833085121
chang (1) -0.22448312132044
qsabr2 (1) -0.83097682618305
qsabr1 (1) -0.83097682618305
qsbr_rw1 (1) -0.30384004297371
prnn_crabs (1) -0.078362600201975
arsenic-male-bladder (1) 0.11036074210836
iq_brain_size (1) 0.14652726468109
papir_2 (1) -0.22938264184493
hip (1) -1.1096992830588
tr31.wc (1) 12.240122709329
oh15.wc (1) 10.256203834483
new3s.wc (1) 30.872320766468
qsbralks (1) -0.6689932160509
stevenson (1) 0.10844782519055
qsartox (1) -0.1401066353298
benzo32 (1) -0.30254000769674
uehling (1) 0.22706871041467
rosowky (1) -0.37793247238791
garrat (1) 0.26949504735588
detroit (2) -0.088625034522435
kidney (1) -0.56335531329292
bank32nh (1) -0.0039907423901453
bodyfat (1) 0.14635310763345
cpu (1) 2.5441530058582
cpu_small (2) 1.3550429373213
meta (1) 0.27181554081547
kdd_coil_1 (1) 0.079547036852024
kdd_coil_2 (1) 0.079547036852024
auto93 (1) -0.013788884086275
kdd_coil_3 (1) 0.079547036852024
delta_elevators (2) -0.17307352053359
bank8FM (1) -0.011568652466687
cpu_act (2) 1.7899976382351
house_16H (1) 0.31731612957201
kdd_coil_4 (1) 0.079547036852024
kdd_coil_5 (1) 0.079547036852024
kdd_coil_6 (1) 0.079547036852024
kdd_coil_7 (1) 0.079547036852024
wind (1) 0.49812642925673
tecator (1) 0.7886482413081
space_ga (1) -0.72766703056535
nflpass (1) 0.34832619339843
places (1) 0.29849655678783
sleep (2) 0.28106610512005
pm10 (1) -0.30365618637243
pbc (2) 0.065137617063041
humandevel (1) -0.35038846903156
pollen (1) -0.093815320422458
boston (1) -0.37546658794259
arsenic-female-bladder (1) 0.11036074210836
cps_85_wages (1) -0.015683914139777
arsenic-male-lung (1) 0.11036074210836
houses (1) 0.26314182065456
socmob (1) 4.4349874182173
pollution (1) -0.17722542638104
boston_corrected (1) -0.32059643599303
transplant (1) 0
lmpavw (1) -0.14609109787211
sensory (1) -0.040489644161149
no2 (1) -0.75077952770122
strikes (1) -0.014331280736088
plasma_retinol (1) 1.1529333799214
balloon (1) -4.6571441647225
arsenic-female-lung (1) 0.11036074210836
pbcseq (1) 0.043521781866484
newton_hema (1) 0.27580098060471
wind_correlations (1) -0.16591870623121
veteran (1) -0.56879834512785
us_crime (1) 0.060007757294114
mbagrade (1) -0.16819140068264
BNG(anneal) (1) 0.91349123104537
BNG(anneal.ORIG) (2) 0.94650553950229
BNG(labor) (2) -1.2814887188526
BNG(letter) (2) -0.10125601045439
BNG(autos) (1) 0.15873789497272
BNG(lymph) (1) 0.28183338473342
BNG(mfeat-fourier) (1) 0.3783024615393
chembl1075021test1 (1) 1.3761986980643
mv (1) -0.24249962337645
aids (1) 1.663655902234
ozone_level (1) 5.6397682836189
puma32H (1) -0.010120348249404
wine_quality (1) 0.40806176666778
bridges (3) -0.20311890746682
bridges (4)
la2s.wc (1) 16.251217445727
oh5.wc (1) 10.257609145734
re1.wc (1) 11.63338317426
la1s.wc (1) 17.011178066939
wap.wc (1) 11.718542042836
ohscal.wc (1) 29.219658680487
selwood (1) -1.2933587128953
svensson (1) -0.34409404547182
penning (1) 0.11199608418126
qsfsr1 (1) -0.4273065976634
qsfrdhla (1) -0.28688342470108
qsprcmpx (1) -0.41865637941438
qsfsr2 (1) -0.39194636054432
mtp2 (1) 0.90288214477409
yokohoma2 (1) -0.011192533531269
heyl (1) 0.45754343394433
yokohoma1 (1) -0.054753085661503
mtp (1) 0.56044168172813
qsbr_y2 (1) -1.6644129572787
krystek (1) -0.50532207143514
depreux (1) 1.0115303185337
pdgfr (1) -0.13418988686459
carbolenes (1) -0.25537387152997
rsctc2010_3 (1) -0.80673780339305
rsctc2010_4 (1) 0.38376548132511
rsctc2010_5 (1) -0.69063873159845
rsctc2010_6 (1) 0.019819822811611
rsctc2010_1 (1) -0.086310566983431
rsctc2010_2 (1) -0.086310566983431
ASP-POTASSCO-regression (1) 1.3162958316731
ASP-POTASSCO-classification (1) 1.3186198111266
MIP-2016-PAR10-regression (1) -9.6003076654038
MIP-2016-PAR10-classification (1) -10.072380438596
employee_salaries (14) -0.35549463346608
Football_players_Fifa_stats (1) -0.73914922435476
visualizing_ethanol (1) -0.14622729663251
chscase_geyser1 (1) -0.59858217993089
LEV (1) -0.086555592954559
FacultySalaries (1) 0.46035455329833
MIP-2016-regression (1) -9.6003076654038
MIP-2016-classification (1) -9.6536426929568
rabe_166 (1) -0.040652289027414
rmftsa_ctoarrivals (1) 0
sleuth_ex1605 (1) -0.49985784864163
chscase_vine2 (1) 0
visualizing_galaxy (1) -0.31898572150362
chscase_vine1 (1) -0.66834713825919
rabe_131 (1) -0.23670250641678
chatfield_4 (1) 0.94681584805094
hutsof99_child_witness (1) -0.25971713694242
rabe_97 (1) 0.03803302495749
rabe_176 (1) -0.056722687786043
sleuth_ex1221 (1) 0.89577049343146
chscase_foot (1) -0.5263344603352
chscase_health (1) -0.11804077543377
visualizing_hamster (1) 0.059820452132383
rabe_148 (1) -2.7189763882526
chscase_census3 (1) -0.085983618602041
chscase_census2 (1) 0.49955676313553
chscase_demand (1) 0
visualizing_environmental (1) -0.42674758971447
chscase_funds (1) -0.15455032538834
hutsof99_logis (1) -0.16239990646279
Premier_League_matches (1) -0.18390762165723
Premier_League_odds_and_prob (1) 0.32731048220972
OVA_Uterus (1) 1.6338268507083
OVA_Omentum (1) 1.6338268507083
AP_Ovary_Lung (1) 1.3910897058774
AP_Endometrium_Prostate (1) 0.92351316303815
OVA_Endometrium (1) 1.6338268507083
AP_Colon_Omentum (1) 1.0794543581571
AP_Endometrium_Breast (1) 1.3941244847439
AP_Omentum_Uterus (1) 1.1871220645889
AP_Omentum_Prostate (1) 1.0721601158133
AP_Colon_Lung (1) 1.1045386254963
AP_Breast_Omentum (1) 1.4232297300045
AP_Endometrium_Colon (1) 1.0256235419406
OVA_Kidney (1) 1.6338268507083
AP_Colon_Prostate (1) 0.97622455052327
AP_Lung_Uterus (1) 1.2174721230991
AP_Colon_Kidney (1) 1.1540087234194
OVA_Breast (1) 1.6338268507083
AP_Uterus_Kidney (1) 1.2525327421063
OVA_Lung (1) 1.6338268507083
AP_Prostate_Uterus (1) 1.0872102870932
AP_Omentum_Lung (1) 1.2282068507272
AP_Prostate_Kidney (1) 1.1025143216611
AP_Breast_Colon (1) 1.3198478596806
OVA_Prostate (1) 1.6338268507083
AP_Omentum_Kidney (1) 1.2713076968431
AP_Breast_Prostate (1) 1.3794572629335
fri_c4_100_100 (1) -0.11264894342094
fri_c0_250_25 (1) -0.081669715080488
fri_c0_500_10 (1) -0.067278637723897
fri_c2_100_25 (1) -0.069021203191703
fri_c1_100_5 (1) -0.32118596709468
fri_c2_250_10 (1) -0.064391613288427
fri_c3_250_25 (1) -0.046467635928341
emotions (4) 0.51974175708817
fri_c3_500_50 (1) -0.015073439307654
fri_c3_500_10 (1) -0.07847586627677
fri_c1_250_10 (1) -0.15932304352057
fri_c1_250_50 (1) -0.075810021840643
fri_c0_500_5 (1) -0.043684353201919
fri_c0_500_50 (1) -0.031847134775582
fri_c0_100_25 (1) -0.096611029718565
fri_c0_250_5 (1) -0.10725521951833
fri_c4_250_100 (1) -0.058417055445308
fri_c3_500_25 (1) -0.035425628117615
fri_c1_500_25 (1) -0.060758553346135
fri_c1_1000_50 (1) -0.035753146043465
fri_c4_500_25 (1) -0.030660630921527
AP_Breast_Kidney (1) 1.4841140593751
AP_Endometrium_Ovary (1) 1.3207420410132
AP_Colon_Uterus (1) 1.0929149991255
OVA_Colon (1) 1.6338268507083
AP_Ovary_Uterus (1) 1.3292055012641
AP_Lung_Kidney (1) 1.2824418008099
AP_Prostate_Ovary (1) 1.343359650282
AP_Colon_Ovary (1) 1.2634300909458
AP_Endometrium_Lung (1) 1.1626930497963
AP_Prostate_Lung (1) 1.115282897292
AP_Omentum_Ovary (1) 1.325381743509
AP_Endometrium_Kidney (1) 1.1767523289137
AP_Breast_Uterus (1) 1.4145481327686
AP_Ovary_Kidney (1) 1.4603299774591
AP_Breast_Lung (1) 1.4528870955583
AP_Endometrium_Omentum (1) 1.1244864970664
AP_Endometrium_Uterus (1) 1.0682943286093
AP_Breast_Ovary (1) 1.5348073960583
MeanWhile1 (1) 1.4207919391822
yeast (5) -0.065777731009498
yeast (6) -0.065777731009498
allhyper (1) 0.0084327028390151
auto (1) -0.18011142056326
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) 2.0665834255521
cars1 (1) 0.23218228248517
calendarDOW (1) -3.0508939960403
car-evaluation (1)
clean1 (1) -0.47037440495182
clean2 (1) -0.21229295280891
corral (1)
Titanic (2) -1.3989872484852
tokyo1 (1) 0.86850808621298
parity5_plus_5 (1)
allbp (1) 0.0083663893815243
allrep (1) 0.0083663893815243
analcatdata_happiness (1) 1.0680641879104
cleve (1) -0.36993650908444
ecoli (3) 0.022442769507987
fars (1) -1.2109767793161
glass2 (1) -1.0096711207283
hypothyroid (3) -0.029693089016823
led24 (1)
led7 (1)
magic (1) -0.17151941301349
mofn-3-7-10 (1)
cleveland-nominal (1)
crx (1) 0.4088069517862
dis (1) 0.0083663893815243
parity5 (1)
pima (1) -0.29439306721971
mux6 (1)
thyroid-new (1) 0.26304381764056
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
NPSdecay (1) 0.00058871878751202
qType_2prev (1) 93.201151697934
qType_5prev (1) 132.29522249855
qType_30prev (1) 231.45628515864
MNIST (1) 0.85568584878967
convex (1) 0.19751292632911
mnist_rotation (1) -0.16520961947209
secom (1) 0.34164648296588
CF-metadataset (1) -0.022134188399624
CF-metadataset-nmae (1) -0.022134188399624
USPS (1) 0.27653844899158
Breast_Cancer (1)
sylva_agnostic (2) -0.82836695954822
ada_agnostic (2) 0.06808851855522
climate-model-simulation-chrashes (1) -0.00053664421191009
jungle_chess_2pcs_endgame_panther_lion (1) 0
jungle_chess_2pcs_endgame_panther_lion (2) 0
jungle_chess_2pcs_endgame_elephant_elephant (1) 0.0042425388007539
jungle_chess_2pcs_endgame_panther_elephant (1) 0
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) 3.5333249596237
Moneyball (2) -0.131556932906
orcid (1) 0.46182179313699
food-truck-test (1) -1.5893279256162
random-teste (1) -1.1598714155871
gisette (2) 1.6407728840541
data-v3.en-es-lit.clean.anno.uniform.20top (1) 0.44212356986346
data-v3.en-es-lit.clean.anno.uniform.without_20top (1) -0.37523447255034
jungle_chess_2pcs_endgame_complete (1) 3.4115590140461E-5
jungle_chess_2pcs_endgame_rat_panther (1) 0
jungle_chess_2pcs_endgame_rat_elephant (1) 0
jungle_chess_2pcs_endgame_lion_elephant (1) 0
jungle_chess_2pcs_endgame_rat_rat (1) 0.052846784544623
jungle_chess_2pcs_endgame_rat_lion (1) 0
jungle_chess_2pcs_endgame_lion_lion (1) -0.024145164414321
Diabetes (2) -0.29439306721971
Homicide (1)
data-v3.en-es-lit.clean.anno.uniform.30top (1) 0.95643327151427
data-v3.en-es-lit.clean.anno.uniform.without_30top (1) -0.42876243523964
Random (1) -0.56049941204665
TestofRandom (1) -0.56049941204665
Pizza (1) 0.59543869832567
Pizza (2) 0.59543869832567
tamilnadu-electricity (3) -0.0081847243779029
climate-model-simulation-crashes (2) -0.00053664421191009
climate-model-simulation-crashes (3) -0.00058171423609712
intuit (1) 0.055600076262936
DiabetesIndia (1) -0.29439306721971
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) 0.55544008244579
Kuzushiji-MNIST (1) 0.91432796204692
GTSRB-HOG01 (1) 1.0950131666226
GTSRB-HOG02 (1) 1.1077512530821
GTSRB-HOG03 (1) 1.4383568020762
GTSRB-HueHist (1) 3.7375937550563
1DUltrasoundMuscleContractionData (1) 0.21756236001617
Indian_pines (1) -0.91601573354282
semeion (2) -0.031500127392544
TuningSVMs (2) 0.10158824892268
TuningSVMs (3) 0.17703414342339
SAT11-HAND-runtime-regression (1) 0.49961069695091
Kuzushiji-49 (1) 1.0091336394206
cifar-10-small (1) 0.085224762802021
iris (15) -0.2319048217255
iris (16) -0.2319048217255
Weather (10) -0.18120777292829
TaskCreationTestDataset (3) -0.23209732989137
TaskCreationTestDataset (4) -0.23209732989137
USPS (3) 0.052817034630595
isolet (2) -0.69231722268084