Measure

Quartile3KurtosisOfNumericAtts

Third quartile of kurtosis among attributes of the numeric type.

Value per dataset

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075282 (1) 1.4881250714565
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 4.4056608304939
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) 1.4928720846777
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) 18.413264572693
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 8.7006896313961
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) 0.13002567820629
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) 3.2776616778758
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 1.0220481532738
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) 2.9644744110305
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) 1.7465273188067
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) 2.054097056589
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) 4.57470499721
SensorDataResource (1) 3.5085028953517
IBO (1) -0.83735823605463
CoverType5percent (1) 3.2581202373486
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) 3.0822415723589
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 1.2199211073967
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 10.683555122031
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) 1.0014686727033
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) 1.0145341783255
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) 3.1354411497109
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 3.9825434353504
cjs (3) 3.9779084764729
COMET_MC_SAMPLE (1) 150.62359858435
COMET_MC_SAMPLE (2) 335.1381072466
COMET_MC_SAMPLE (3) 187.25885826053
COMET_MC_SAMPLE (4) 250.10467035564
YAGO_Schema_KGE (1) 48.485979293461
yagoSchema.ttl (4) 43.700170642834
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2714 (1) 2.4645491325403
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2717 (1) 0.63919301690624
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 1.6863212408724
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2778 (1) 5.7875450826466
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) 3.1372708224904
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) 6.6875303795942
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) 1.0078711370917
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3023 (1) 5.1183112115269
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL256 (1) 12.1036667216
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) 8.1308516448937
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 15.515215601349
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) -0.47477696059265
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 1.7355865209975
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) 75.663867430413
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 5.8826456136611
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) 5.646730104913
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) 18.094890889061
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4581 (1) 4.3533354108546
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4715 (1) 5.6734769114218
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 3.0642439532448
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3626 (1) 3.1515180985332
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3473 (1) 1.4424244200983
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3686 (1) -0.2610326083925
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3703 (1) 0.44275308458451
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3721 (1) 22.008720715492
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) 6.6707595285429
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3840 (1) 10.215800978129
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3849 (1) 4.595500041873
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL321 (1) 10.729370788688
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) 2.9227743574054
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 1.8502608108264
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2074 (1) 3.0147811091542
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2099 (1) 26.118246365359
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2113 (1) 3.7319794979026
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2146296 (1) 11.429779382451
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL210 (1) 9.3227291750024
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) 0.571023233834
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) 1.4018179133335
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) 13.279709021193
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) 0.98461221611798
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) 1.7338887836811
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 3.2666097081412
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1795135 (1) 0.32655339968986
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908386 (1) 1.6961433562084
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1926495 (1) 1.6246905489811
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1952 (1) 2.5597029327145
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007622 (1) 4.1318182438185
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2006 (1) -0.13919935139555
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007629 (1) 41.812814160788
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2055 (1) 3.362813542244
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3225 (1) 3.3311388493296
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3241 (1) 0.44575180365393
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 12.612209688495
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3323 (1) 2.037037037037
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3346 (1) 1.2237010846687
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3349 (1) 1.0844642816977
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3229 (1) 4.6763366146032
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3452 (1) -1.765917791595
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) 5.9614288845058
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL301 (1) 3.5370645351829
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) 1.5638698462608
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4767 (1) 11.587365439382
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4809 (1) 1.205964391532
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) 3.8847992817447
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) 1.7232816026485
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) 15.196778323359
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 1.7987771961766
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5044 (1) 1.6888820480524
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5047 (1) 1.7857804967552
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) 1.7876193324312
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3836 (1) 5.7308730639935
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3886 (1) 3.5381022500315
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3992 (1) 5.456938926543
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) 12.955382667233
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) 4.8711387410986
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) 1.8165950594896
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) 48.51501256865
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) 2.1604903992972
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) 3.0716344463363
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 9.7210562575169
WaveformDatabaseGenerator (1) -0.12619715383521
BachChoralHarmony (1) 0.84313527225979
TurkiyeStudentEvaluation (1) -0.7790821763254
Engine1 (1) 2.4568774427552
YearPredictionMSD (1) 29.685052640807
Concrete_Data (1) 0.7666753198718
Diabetes130US (1) 13.361371856019
GeographicalOriginalofMusic (1) 13.493928637551
OnlineNewsPopularity (1) 32.761186107534
BuzzinsocialmediaTomsHardware (1) 99.579499102478
Buzzinsocialmedia_Twitter (1) 1331.4148249498
MiceProtein (1) 2.2888436205296
KDD98 (1) 42.319484734568
sulfur (1) 24.897365702053
debutanizer (1) 5.923348433884
F2Pmodel3smoted (1) 1.8123391178567
F2Pmodel4smoted (1) 9.9242822493236
parkinsons-telemonitoring (1) 27.584797401981
higgs (1) 10.20107956069
KEGGMetabolicReactionNetwork (1) 94.817136007671
Census-Income (1) 108.09971084455
CreditCardSubset (1) 93.416423918455
Physical_Activity_Recognition_Dataset_Using_Five_Smartphones (1) 5.7673058982655
data (1) 12.741748058445
thoracic_surgery (1) 30.481410939611
COMET_MC (1) 256.81252373463
COMET_MC (2) 256.81252373463
ant (1) 15.254925268563
ant (2) 17.726582039349
Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors (1) 6.3621212004175
InterferenceSeperation (1) -0.24401059119839
S1S1_1s50_31features_7tasks (1) 61.854021279525
kdd_internet_usage (2)
Dexter (1) 600
Dorothea (1) 379.99128769561
DBpedia(YAGO).arff (1) -1.1999999999967
Wikidata (1)
NELL (1)
covertype (3) 1.9231918548047
BNG(labor,nominal,1000000) (1)
BNG(vote) (1)
RandomRBF_50_1E-3 (1) -0.054261024897037
BNG(hypothyroid,nominal,1000000) (1)
BNG(page-blocks) (1) 17.072979610262
BNG(mfeat-zernike,nominal,1000000) (1)
BNG(waveform-5000,nominal,1000000) (1)
BNG(hepatitis,nominal,1000000) (1)
BNG(mfeat-fourier,nominal,1000000) (1)
RandomRBF_0_0 (1) 0.39927333460973
BNG(primary-tumor) (1)
monks-problems-3_train (1)
bridges (1) 3.5770284965902
bridges (2)
BNG(optdigits) (1)
BNG(segment) (1)
BNG(anneal.ORIG,nominal,1000000) (1)
BNG(kr-vs-kp) (1)
BNG(letter,nominal,1000000) (1)
BNG(breast-cancer,nominal,1000000) (1)
BNG(mfeat-karhunen,nominal,1000000) (1)
BNG(bridges_version2,nominal,1000000) (1)
BNG(mushroom) (1)
BNG(soybean) (1)
BNG(spambase) (1)
BNG(trains) (1)
BNG(anneal,nominal,1000000) (1)
BNG(vehicle,nominal,1000000) (1)
BNG(vowel,nominal,1000000) (1)
BNG(ionosphere) (1)
CovPokElec (1) 7.6597523597174
spectf_test (1) 7.0220060188195
spectf_train (1) 7.1032219408054
mbagrade (1) 0.1259300967283
wisconsin (1) 3.5847331691721
vineyard (1) 2.1043715927654
bolts (1) 0.5196210156271
cpu_act (1) 59.863076080766
SEA(50) (1) -1.1951633352141
SEA(50000) (1) -1.1951872107017
LED(50000) (1)
pokerhand (1) 1.3019406266326
pol (1) 69.439608802471
triazines (1) 26.779911103192
detroit (1) -0.050132950068775
gascons (1) 1.1504215681749
elusage (1) -0.061582877532482
BNG(waveform-5000) (1) -0.30990007382324
BNG(zoo) (1) -0.47943254842282
IMDB.drama (1) 97.012438435883
20_newsgroups.drift (1)
BNG(pendigits) (1) -0.25939731836217
BNG(cylinder-bands) (1) 2.3713827093129
BNG(dermatology) (1) -0.80375041723703
BNG(sonar) (1) 1.895879331597
BNG(heart-c) (1) 0.72891218863116
BNG(heart-statlog) (1) 0.50648460042488
BNG(vehicle) (1) -0.22249334444621
BNG(hepatitis) (1) 5.2505203567498
BNG(vowel) (1) -0.39707345759911
BNG(bridges_version1) (1) 2.0172116916268
BNG(mfeat-zernike) (1) 1.1153519446719
BNG(colic.ORIG) (1) 5.2657379770328
BNG(colic) (1) 5.6359426118449
BNG(credit-a) (1) 10.883772745106
BNG(credit-g) (1) 2.2013182510077
covertype (2) 315.60751544235
satellite_image (1) 0.50350492546884
Ailerons (1) 15.443782526449
coil2000 (1) 122.50173608548
libras_move (1) -0.56554759018303
BNG(anneal) (1) 7.279985265037
BNG(anneal.ORIG) (2) 7.7697062978459
BNG(labor) (2) 4.4056027158262
BNG(letter) (2) 0.52675437921331
BNG(autos) (1) 1.176457021476
BNG(lymph) (1) 18.753260704298
BNG(mfeat-fourier) (1) -0.057890037692025
ozone_level (1) 29.830511317867
puma32H (1) -1.1861999381708
longley (1) -0.94968408032841
diabetes_numeric (1) 0.5440611384524
baskball (1) 2.1156574028233
2dplanes (1) -1.4958915360234
pyrim (1) 5.643118258559
house_8L (1) 117.70346368881
tr31.wc (1) 421.34929452552
oh15.wc (1) 351.23202641181
new3s.wc (1) 3703.3812519711
la2s.wc (1) 1021.6634123066
oh5.wc (1) 353.17084028878
re1.wc (1) 548.9939569786
la1s.wc (1) 1064.6635434243
wap.wc (1) 516.66024736332
ohscal.wc (1) 4110.741210024
yokohoma2 (1) 2.6402627495913
heyl (1) 10.428504705526
yokohoma1 (1) 10.643557184959
mtp (1) 13.834863932574
qsbr_y2 (1) 3.6947338833161
krystek (1) 9.9037577468929
depreux (1) 25.965805236012
pdgfr (1) 6.8905040175754
carbolenes (1) 6.4817739355725
garrat2 (1) 14
Phen (1) -0.084349348632936
siddiqi (1) 9.9692180078328
lewis (1) 5.5989412268527
thompson (1) 6.8662690619096
yprop_4_1 (1) 534.56775814636
tsutumi (1) 9.0046179864318
strupcz (1) 28.556860160176
PHENETYL1 (1) 0.88992295274765
cristalli (1) 15.534891404735
codrna (1) 3.5859215930909
poker (1) -1.2141339770374
chembl1075021test1 (1) 35
mv (1) -0.67823713401925
aids (1) 7.8142486032559
bridges (4)
qsbralks (1) 2.8853690619373
stevenson (1) 4.7069803204308
qsartox (1) 1.2183787186017
benzo32 (1) 1.573603276241
uehling (1) 8.6930010925454
rosowky (1) 2.4763328547127
garrat (1) 10
doherty (1) 1.6647282082445
chang (1) 15.055510088298
qsabr2 (1) 0.37024184177687
selwood (1) 9.7806027672117
topo_2_1 (1) 84.171256283261
svensson (1) 7.5614142507645
pah (1) 12.584580397751
penning (1) 9.3469870730769
qsfsr1 (1) 3.3488200630247
qsfrdhla (1) 0.34373821036641
qsprcmpx (1) 0.24715927838535
qsfsr2 (1) 2.5941983112113
mtp2 (1) 44.072463936106
analcatdata_birthday (1) -0.68710290164929
OVA_Colon (1) 38.096588012046
AP_Ovary_Uterus (1) 23.650677027629
AP_Lung_Kidney (1) 21.890180181146
AP_Endometrium_Uterus (1) 15.100633903551
AP_Breast_Ovary (1) 31.225840248174
OVA_Ovary (1) 38.096588012046
AP_Endometrium_Prostate (1) 10.13525717658
AP_Prostate_Kidney (1) 16.206739813704
AP_Breast_Colon (1) 24.278307212095
OVA_Prostate (1) 38.096588012046
analcatdata_michiganacc (1) -0.14943016469677
detroit (2) -0.050132950068775
kidney (1) 2.9078825983002
analcatdata_apnea3 (1) 25.921442784453
analcatdata_apnea2 (1) 24.315823173008
analcatdata_apnea1 (1) 24.190359412445
bank32nh (1) 4.7551412409554
bodyfat (1) 5.2695136169925
cloud (2) 5.8748624451537
yeast_gene (1) 1.0543448528949
GCM (1) 17.022060134454
KDDCup99_full (1) 31538.876879085
analcatdata_draft (1) -1.2
cjs (1) 3.1576274787681
cpu (1) 22.468899069672
cpu_small (2) 131.5329351691
fried (1) -1.1933853523216
meta (1) 8.8631987633872
kdd_coil_1 (1) 6.5319036463461
kdd_coil_2 (1) 7.4373172145969
auto93 (1) 1.0235375926033
kdd_coil_3 (1) 7.1095277472715
AP_Omentum_Kidney (1) 19.6286441278
AP_Ovary_Kidney (1) 24.776497146677
AP_Breast_Lung (1) 28.03104234983
visualizing_ethanol (1) -1.1997492460417
chscase_geyser1 (1) -0.88565338556444
chscase_vine1 (1) 0.35231874913905
rabe_131 (1) 2.5753153475836
diggle_table_a1 (1) 0.34736846651428
chatfield_4 (1) 1.5133060774517
hutsof99_child_witness (1) -0.32258855389052
rabe_97 (1) -0.6817533982973
rabe_176 (1) -0.051716586852475
disclosure_z (1) 2.0080342761154
sleuth_ex1221 (1) 11.635141686577
chscase_foot (1) 4.4398986441545
disclosure_x_noise (1) 0.66547243669466
chscase_health (1) 0.52292658373336
sleuth_case1202 (1) 1.1125913117998
sleuth_case1201 (1) 2.5468768502365
visualizing_hamster (1) 0.65603221742124
disclosure_x_bias (1) 2.3114335661635
rabe_148 (1) 11.952058723284
BNG(spectf_test) (1) 3.1754435570921
BNG(adult) (1) 1.0702765485551
BNG(satimage) (1) 0.67822420341881
BNG(baseball) (1) 1.8801195997815
BNG(wine) (1) 0.11261049445047
BNG(eucalyptus) (1) 0.35770110848769
BNG(wisconsin) (1) 1.9347142031286
BNG(cleveland) (1) 0.70320414778737
BNG(cpu_act) (1) 14.117394910588
Goteborg_52 (1) 3.4764589261719
BNG(solar-flare) (1)
BNG(pbc) (1) 4.6115957723083
BNG(lowbwt) (1) 1.1671303897419
BNG(cholesterol) (1) 0.40741437834506
BNG(autoPrice) (1) 0.99338933388281
BNG(pharynx) (1) 0.29571698979085
BNG(2dplanes) (1) -1.4946282095999
BNG(elevators) (1) 3.6694510004745
BNG(echoMonths) (1) 0.85790896287065
ESL (2) 0.29509135958517
ada_prior (1) 43.882641149514
hiva_agnostic (1) 41.03955360225
vowel (3) -0.24255761544064
cjs (2) 3.1576274787681
ESL (1) 0.29509135958517
SWD (1) -1.0944168562243
LEV (1) -0.75459152152131
ERA (1) -0.74408393757742
BNG(anneal,1000,1) (1) -0.053519629419007
BNG(anneal,1000,5) (1) -0.40116532860939
BNG(anneal,1000,10) (1) -0.37221540313684
BNG(anneal,5000,5) (1) -0.049111360451413
BNG(anneal,5000,10) (1) -0.28093226167395
BNG(anneal,10000,1) (1) 4.7347933736388
BNG(anneal,10000,5) (1) 1.169041653652
BNG(anneal,10000,10) (1) -0.047038489529044
BNG(anneal.ORIG,1000,1) (1) 0.40195577125298
eating (1) 8.7359725541369
Stagger1 (1)
BNG(anneal.ORIG,1000,5) (1) 0.56053380666056
BNG(anneal.ORIG,1000,10) (1) 0.24994609622558
BNG(anneal.ORIG,5000,1) (1) 4.6713231131296
BNG(anneal.ORIG,5000,5) (1) 0.40713744701396
BNG(anneal.ORIG,5000,10) (1) 0.31964796668708
BNG(anneal.ORIG,10000,1) (1) 4.85766729655
BNG(anneal.ORIG,10000,5) (1) 1.3985154856916
BNG(anneal.ORIG,10000,10) (1) 0.42001048289886
BNG(kr-vs-kp,1000,5) (1)
BNG(kr-vs-kp,5000,1) (1)
BNG(kr-vs-kp,5000,10) (1)
BNG(kr-vs-kp,10000,1) (1)
BNG(kr-vs-kp,10000,5) (1)
BNG(letter,1000,1) (1) 0.486627213359
BNG(letter,1000,10) (1) 0.39301600491138
BNG(breastTumor) (1) -0.1868727429007
BNG(cpu_small) (1) 10.091492103915
BNG(pwLinear) (1) -1.418773999354
BNG(wine_quality) (1) 1.5859079235686
BNG(Australian) (1) 4.5634887055663
BNG(satellite_image) (1) 0.45005803268326
BNG(Ailerons) (1) 13.965724718924
BNG(libras_move) (1) -0.51678009338012
BNG(vowel) (2) -0.39330443858147
BNG(puma32H) (1) -1.1841908015351
BNG(SPECTF) (1) 3.2224596412634
Click_prediction_small (1) 38.970783444606
Click_prediction_small (2) 32.519026148138
Click_prediction_small (4) 32.411803027221
Stagger2 (1)
Stagger3 (1)
AirlinesCodrnaAdult (1) 9.3577524973722
codrnaNorm (1) 3.5859210094687
lungcancer_shedden (1) 2.9257035156817
letter-challenge-unlabeled.arff (1) 1.1728389823382
letter-challenge-labeled.arff (1) 1.1728389823382
Click_prediction_small (6) 32.411592680832
AP_Endometrium_Omentum (1) 12.917348104991
AP_Prostate_Ovary (1) 19.44679582964
AP_Colon_Ovary (1) 21.782431291691
AP_Endometrium_Lung (1) 16.963092439467
AP_Prostate_Lung (1) 14.471272660775
AP_Omentum_Ovary (1) 20.743227400769
AP_Endometrium_Kidney (1) 19.129008904002
AP_Breast_Kidney (1) 27.679355585465
AP_Endometrium_Ovary (1) 20.898519215057
AP_Colon_Uterus (1) 17.423487148598
fourclass_scale (1) -1.105059032748
german.numer (2) 2.9678988156948
gisette (1) 73.196965907216
heart (1) 1.1321514307298
ijcnn (1) 6.547135767008
rcv1.binary (1) 120786.18339028
real-sim (1) 8005.1351186232
splice (3) -1.2528728282249
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) -1.2141329431742
poker-hand (2) -1.2141254896845
connect-4 (1) 74.778650509199
aloi (1) 269.90777664835
SensIT-Vehicle-Combined (1) 50.484106070834
news20 (2) 9961.4995984976
poker (2) -1.2140922161527
creditcard (1) 213.93700698923
w1a (1) 587.31083767541
w2a (1) 587.3108376754
w3a (1) 587.31083767542
w4a (1) 587.31083767542
w5a (1) 587.31083767541
w6a (1) 587.31083767542
w7a (1) 587.31083767543
w8a (1) 577.92935544911
svmguide3 (1) 30.900235674176
arsenic-male-bladder (1) 108.41518922419
iq_brain_size (1) 0.94270699954207
analcatdata_vehicle (1) 0.11827450378097
papir_2 (1) 0.27820805955473
dj30-1985-2003 (1) 10.92424621178
hip (1) 2.3944045757288
analcatdata_impeach (1) -0.19404467307562
analcatdata_whale (1) 1.2957305363453
wind (1) 0.23786932642749
analcatdata_supreme (1) 30.951499300715
tecator (1) 0.83186735327126
analcatdata_gsssexsurvey (1) 8.3597702161936
space_ga (1) 0.8676167360427
nflpass (1) 1.1800200347583
places (1) 8.3413719563174
sleep (2) 10.981085002997
delta_elevators (2) 0.69766267745214
bank8FM (1) 3.037443889179
cpu_act (2) 59.863076080766
house_16H (1) 39.843443635569
kdd_coil_4 (1) 11.871663857364
kdd_coil_5 (1) 9.2895246583184
kdd_coil_6 (1) 7.9276522379777
kdd_coil_7 (1) 11.871663857364
fri_c0_250_5 (1) -0.97643256520462
fri_c4_250_100 (1) -1.1490398250966
analcatdata_ncaa (1) 14.890556283115
pm10 (1) 0.57573436142239
analcatdata_neavote (1) 18.388121734389
pbc (2) 9.7571082794953
analcatdata_seropositive (1) 2.0093750837001
analcatdata_election2000 (1) 37.133949656513
humandevel (1) -1.2
pollen (1) 0.070756104167067
analcatdata_olympic2000 (1) 9.5005413572942
boston (1) 3.4965076544292
analcatdata_uktrainacc (1) 4.4293758047112
arsenic-female-bladder (1) 105.7297324521
cps_85_wages (1) 3.9540197303601
analcatdata_chlamydia (1) 18.110850169333
arsenic-male-lung (1) 106.56827666447
houses (1) 27.344457529434
analcatdata_galapagos (1) 25.361776521887
mu284 (1) 87.758909307557
plasma_retinol (1) 17.209008090441
balloon (1) 33.097770283224
arsenic-female-lung (1) 102.93611664964
baseball-team (1) 0.48919307271713
pbcseq (1) 23.651422723682
analcatdata_gviolence (1) 4.1451332001052
vinnie (1) -0.21728078578127
analcatdata_wildcat (1) 9.3455461294118
socmob (1) 81.876723032722
pollution (1) 3.5811442436213
boston_corrected (1) 1.7041419072918
transplant (1) 11.562028873595
lmpavw (1) 0.10511446192346
sensory (1) 0.065675565393938
no2 (1) 0.72607422328855
strikes (1) 1.5259102352005
quake (2) 8.4925869270818
fri_c3_500_25 (1) -1.0949316213818
fri_c1_500_25 (1) -1.1580864804939
fri_c1_1000_50 (1) -1.1604460331408
fri_c4_500_25 (1) -1.1045658044654
fri_c3_100_10 (1) -0.29245266983102
fri_c3_1000_25 (1) -1.1477742806521
fri_c3_100_50 (1) -1.0491989019616
fri_c4_1000_100 (1) -1.1686433335883
fri_c2_1000_25 (1) -1.1616273605773
fri_c0_1000_50 (1) -1.1627781552436
analcatdata_negotiation (1) 0.47143492113619
newton_hema (1) 7.0356233075447
wind_correlations (1) 1.7126170773134
analcatdata_hiroshima (1) 8.0082514355209
djdc0093 (1) 5.7218780573483
analcatdata_runshoes (1) 1.2865254945493
analcatdata_vineyard (1) -0.054591258028949
fri_c1_100_10 (1) -0.82460386577573
fri_c4_1000_25 (1) -1.1099914703792
fri_c1_1000_10 (1) -1.1351122997559
fri_c2_100_5 (1) 0.08797593051626
fri_c0_1000_10 (1) -1.1451162235939
fri_c2_250_5 (1) -0.75015386007553
fri_c2_500_5 (1) -0.51344914147322
fri_c0_1000_25 (1) -1.1557173256586
fri_c2_1000_5 (1) -0.53997087019076
fri_c0_100_50 (1) -1.1045359441583
rsctc2010_5 (1) 1.3774235148434
rsctc2010_6 (1) 0.83709009069328
mouseType (1) 1.2118890417419
BurkittLymphoma (1) 1.5932144765871
anthracyclineTaxaneChemotherapy (1) 1.1451949052899
ovarianTumour (1) 2.0481393464722
hepatitisC (1) 2.0481393464722
variousCancers_final (1) 2.306266131898
USCrime (1) 1.0820354882793
MercuryinBass (1) 2.4950524422292
qsabr1 (1) 1.0495616480056
qsbr_rw1 (1) -0.48049574675724
prnn_crabs (1) -0.48821226825197
hutsof99_logis (1) -0.25616913222539
rabe_166 (1) -1.0414995863436
rmftsa_ctoarrivals (1) -0.22402819837619
sleuth_ex1605 (1) 0.32133160130122
visualizing_soil (1) -0.27920660644213
chscase_vine2 (1) 0.17172194387342
visualizing_galaxy (1) -0.34998045432691
chscase_census4 (1) 4.5592400171444
chscase_census3 (1) 0.31173925064364
chscase_census2 (1) 8.5358014525342
chscase_demand (1) -0.66089579066119
visualizing_slope (1) 0.12238431463454
disclosure_x_tampered (1) 0.82301642350098
visualizing_environmental (1) 1.0749119653549
chscase_funds (1) 1.0384091192766
fri_c0_100_25 (1) -1.0696495925775
fri_c4_100_100 (1) -1.0606686191492
fri_c0_250_25 (1) -1.1668419022541
fri_c0_500_10 (1) -1.1263552154971
fri_c2_100_25 (1) -1.0674538622594
fri_c1_100_5 (1) -0.41236294041572
fri_c2_250_10 (1) -0.67710833284076
fri_c3_250_25 (1) -1.1120641399334
sleuth_ex1714 (1) 1.4278020055419
rabe_265 (1) 10.110218101271
fri_c1_250_5 (1) -0.63331826563894
fri_c3_250_10 (1) 0.26664057822136
fri_c0_250_50 (1) -1.1145852925
fri_c4_500_10 (1) 0.13666656526874
fri_c2_250_25 (1) -1.1281216896438
fri_c2_1000_10 (1) -0.80914211487182
fri_c4_1000_50 (1) -1.1530109442978
fri_c3_1000_10 (1) 0.14913159383287
fri_c0_1000_5 (1) -0.96932486327521
fri_c4_500_100 (1) -1.1592921139098
fri_c1_500_5 (1) -0.71102336901151
fri_c3_250_50 (1) -1.146922554764
fri_c0_500_25 (1) -1.1465827310168
fri_c2_100_10 (1) -0.46079840921434
fri_c0_250_10 (1) -1.0684550808915
fri_c1_100_50 (1) -1.0486836708838
fri_c1_500_50 (1) -1.1477087655562
fri_c2_250_50 (1) -1.1184672550612
fri_c3_100_25 (1) -1.0053899960638
fri_c4_100_10 (1) -0.42513134899715
fri_c1_500_10 (1) -1.0808430274788
fri_c4_100_50 (1) -0.98529368896567
fri_c2_500_25 (1) -1.1054466173791
fri_c4_250_25 (1) -1.0923403133549
fri_c3_500_50 (1) -1.176014795443
fri_c3_500_10 (1) -0.05884187358242
fri_c1_250_10 (1) -1.1173986947616
fri_c1_250_50 (1) -1.1294674756378
fri_c0_500_5 (1) -0.95390426464042
fri_c0_500_50 (1) -1.1424529593429
fri_c0_100_10 (1) -1.056963025885
fri_c2_1000_50 (1) -1.1745461913386
fri_c4_1000_10 (1) 0.17473277546108
fri_c0_100_5 (1) -0.81914204572161
fri_c4_100_25 (1) -0.94750088774719
fri_c2_500_50 (1) -1.1491180708665
fri_c2_500_10 (1) -0.72119017283481
fri_c3_1000_5 (1) 0.30553514931409
fri_c1_100_25 (1) -1.0502994145772
fri_c2_100_50 (1) -1.099624862556
sleuth_case1102 (1) 0.70960512035198
rabe_266 (1) -1.0429843017319
chscase_census6 (1) 34.56155372802
sleuth_case2002 (1) 0.28998729289114
rmftsa_ladata (1) 1.1619401303684
witmer_census_1980 (1) 3.0170624706072
chscase_census5 (1) 0.59078060774701
fri_c3_100_5 (1) 0.35963794908083
fri_c1_1000_5 (1) -0.6597960687746
fri_c3_250_5 (1) 0.62613099582249
fri_c1_250_25 (1) -1.1563221848619
fri_c4_250_10 (1) 0.12189190481304
fri_c4_500_50 (1) -1.1424322609265
fri_c3_500_5 (1) 0.64960141246169
fri_c3_1000_50 (1) -1.1645762608066
fri_c4_250_50 (1) -1.1128642590088
fri_c1_1000_25 (1) -1.1775615297947
KDDCup09_churn (1) 382.78821427748
KDDCup99 (1) 16753.687191514
KDDCup09_upselling (1) 382.78821427748
nasa_numeric (1) 22.456211171001
rsctc2010_2 (1) 2.2492792415555
rsctc2010_3 (1) 1.1673650294615
rsctc2010_4 (1) 2.0044796511037
gina_prior (1) 182.82585220777
cocomo_numeric (1) 7.3253663732175
humans_numeric (1) 16.469517962486
SMSA (1) 8.2540871355515
Brainsize (1) -0.43165355476576
Acorns (1) 5.6752744565053
Cereals (1) 3.8962999266942
FacultySalaries (1) 1.3837415984146
ICU (1) 8.6592360704036
pubexpendat (1) 3.6798871961011
EgyptianSkulls (1) 0.27126853929983
qqdefects_numeric (1) 2.8362958093744
AP_Endometrium_Breast (1) 25.987409266738
AP_Omentum_Uterus (1) 15.969370498382
AP_Omentum_Prostate (1) 11.170385037286
AP_Colon_Lung (1) 18.921517850982
AP_Breast_Omentum (1) 25.229990389428
OVA_Breast (1) 38.096588012046
AP_Uterus_Kidney (1) 20.789818191676
BNG(letter,5000,5) (1) 0.48685404422463
BNG(letter,5000,10) (1) 0.45187821667763
BNG(letter,10000,5) (1) 0.53262936305834
BNG(letter,10000,10) (1) 0.48717520587677
BNG(audiology,1000,1) (1)
BNG(audiology,1000,5) (1)
BNG(audiology,1000,10) (1)
BNG(audiology,5000,1) (1)
BNG(autos,1000,1) (1) 1.0731312566426
BNG(autos,1000,10) (1) 0.93198906715019
BNG(autos,5000,1) (1) 1.1414544369612
BNG(autos,5000,5) (1) 1.0734410218888
BNG(autos,5000,10) (1) 1.0444332536216
BNG(autos,10000,1) (1) 1.1347250380338
BNG(autos,10000,5) (1) 1.1745300990931
appendicitis (1) 1.8689421382956
arcene (1) 12.818698939668
colon-cancer (1) 0.5444948281741
svmguide1 (1) 5.4013689955128
duke-breast-cancer (1) 4.872188668058
fourclass (1) -1.105059032748
iris-test (1) 0.29078106236543
AccelerometerData (1)
BNG(autos,10000,10) (1) 1.0772175556635
BNG(lymph,1000,5) (1) -0.66318592982638
BNG(lymph,1000,10) (1) -0.56363049338895
BNG(lymph,5000,1) (1) -0.48971413580201
BNG(lymph,5000,5) (1) -0.6313679251529
BNG(lymph,10000,1) (1) -0.36614004773941
BNG(lymph,10000,5) (1) -0.53026790275627
a1a (1) 475.85342892768
a2a (1) 475.85342892767
a3a (1) 475.85342892768
a5a (1) 475.85342892772
a6a (1) 475.85342892772
a7a (1) 475.85342892774
a9a (1) 511.77147751233
lungcancer_GSE31210 (1) 1.8692789023856
MyIris (1) 0.080069786445162
Kaggle_bike_sharing_demand_challange (1) 0.72382855392724
physionet_asystole (1) 10.945591292675
physionet_tachycardia (1) 5.5806731181839
contact-lenses (1)
KungChi3 (1) 8.8247063949557
KnuggetChase3 (1) 10.897003331039
MeanWhile1 (1) 6.1525155239369
MindCave2 (1) 10.291513384823
AP_Prostate_Uterus (1) 14.037665872918
AP_Omentum_Lung (1) 17.041893897568
AP_Endometrium_Colon (1) 14.942803242775
OVA_Kidney (1) 38.096588012046
AP_Colon_Prostate (1) 11.826950079318
AP_Colon_Kidney (1) 17.107130163941
OVA_Uterus (1) 38.096588012047
OVA_Omentum (1) 38.096588012046
robot-failures-lp1 (1) 15.654912843756
robot-failures-lp2 (1) 5.3190396924168
robot-failures-lp3 (1) 5.3190396924168
ldpa (1) -1.1981477530735
gas-drift (1) 80.890247679987
gas-drift-different-concentrations (1) 80.478106834103
skin-segmentation (1) -0.60118896754911
spoken-arabic-digit (1) 0.26805403904217
Model4scaledsmoted (1) 0.065895826126972
thyroid-ann (1) 77.466846210501
wine-quality-white (1) 9.7938069107638
thyroid-allbp (1) 118.84012325338
thyroid-allhyper (1) 118.84012325338
thyroid-allhypo (1) 118.84012325338
thyroid-allrep (1) 118.84012325338
thyroid-dis (1) 118.84012325338
F2pmodel4scaledsmoted (1) 0.057611266620408
treepipit (1) 5.7438596374496
Australian (2) 11.200198887453
Australian (3) 13.381823553348
andro (1) -0.19278395244765
atp1d (1) 3.9667197919191
atp7d (1) 8.4084159085862
edm (1) 0.035487011710415
enb (1) -0.97123251050213
jura (1) 6.5584446161064
osales (1) 102.31770961502
rf1 (1) 3.5301100965446
rf2 (1) 100.39839047039
scm1d (1) 35.52374947979
scm20d (1) 0.67741011304703
scpf (1) 31.074766114951
sf1 (1) 41.828222968177
sf2 (1) 329.99407136211
slump (1) -0.018983335996004
wq (1) 25.117368387885
youtube (1) 8.5291865639805
voldata15 (1) 21.846861369554
SampleFile (1)
Fitnessapp (1) 2.0190300561068
winequality-white-3-9_vs_5 (1) 3.674750089738
poker-8-9_vs_6 (1) -1.2077643006313
winequality-red-3_vs_5 (1) 12.217121738712
abalone-20_vs_8-9-10 (1) 0.71955993981653
poker-8-9_vs_5 (1) -1.2490689449873
poker-8_vs_6 (1) -1.2041015192396
abalone19 (1) 0.59719156633539
Wiki (1) 67.661503229929
iris (6) 0.033170771522243
ecoli4 (1) 29.079409081026
yeast-1_vs_7 (1) 15.202463051845
glass4 (1) 12.372473046911
page-blocks-1-3_vs_4 (1) 37.437379138817
abalone9-18 (1) 0.62708530287758
dermatology-6 (1) 2.4854105980217
zoo-3 (1)
glass-0-1-6_vs_5 (1) 10.801308136193
yeast-1-4-5-8_vs_7 (1) 51.443830295229
glass5 (1) 12.372473046911
winequality-white-9_vs_4 (1) 2.4696607696652
yeast5 (1) 78.391390056779
winequality-red-8_vs_6 (1) 14.907265418883
yeast6 (1) 78.391390056779
ecoli-0-1-3-7_vs_2-6 (1) 30.719474048553
abalone-17_vs_7-8-9-10 (1) 1.3139391529797
abalone-21_vs_8 (1) 4.5074952737699
winequality-white-3_vs_7 (1) 8.1794163799533
winequality-red-8_vs_6-7 (1) 15.77482381485
abalone-19_vs_10-11-12-13 (1) 0.58401484481807
yeast-2_vs_8 (1) 32.863852246211
lymphography-normal-fibrosis (1) 29.749465128076
flare-F (1)
car-good (1)
car-vgood (1)
yeast4 (1) 78.39139005678
winequality-red-4 (1) 11.720250727148
poker-9_vs_7 (1) -1.2218500105472
yeast-1-2-8-9_vs_7 (1) 58.300245992812
abalone-3_vs_11 (1) 3.5537858617745
ecoli-0-1-4-7_vs_2-3-5-6 (1) 29.079409081026
led7digit-0-2-4-5-6-7-8-9_vs_1 (1) -1.1088748040557
ecoli-0-1_vs_5 (1) 30.583687509685
glass-0-6_vs_5 (1) 7.2920382026155
glass-0-1-4-6_vs_2 (1) 11.722330262237
ecoli-0-1-4-7_vs_5-6 (1) 10.261158526404
ecoli-0-1-4-6_vs_5 (1) 8.8022737138319
ecoli-0-6-7_vs_5 (1) 9.2095950759632
vowel0 (1) -0.27840774513083
glass-0-1-6_vs_2 (1) 11.653153824911
CPMP-2015-classification (1) 1.0373532811123
MIP-2016-regression (1) 212.26033299956
MIP-2016-classification (1) 216.23764134888
ASP-POTASSCO-regression (1) 78.100504506631
ASP-POTASSCO-classification (1) 78.419910855096
testdata (1) 14971.654606998
AP_Lung_Uterus (1) 19.417135667376
BNG(kr-vs-kp,1000,1) (1)
rainfall_bangladesh (3) 5.0582853787036
CPMP-2015-runtime-classification (1) 0.43206729665441
MIP-2016-PAR10-classification (1) 216.50871235731
BNG(auto_price) (1) 1.144027531657
Sick_numeric (2) 66.273469354004
ilpd-numeric (2) 40.517706051536
ilpd-numeric (1) 37.163791520396
BNG(lymph,1000,1) (1) -0.63578734178691
BNG(kr-vs-kp,1000,10) (1)
BNG(spect_test) (1)
Satellite (1) -0.093295560109979
dentaire (1) 4.7650208209399
iris_test_upload (1) 0.080069786445162
Elegibilidade (1)
kc1-numeric (1) 18.70582656549
cnae-9 (2) 240
isolet (2) 1.0339649455337
USPS (3) 4.5761409367675
artificial-characters (1) 0.25628960456021
LED-display-domain-7digit (1) -0.87495269890544
seattlecrime6 (1) -0.51703705455486
us_crime (1) 4.5812092692506
Click_prediction_small (3) 32.392805483698
crimecommunitynums (1) 4.5812092692506
crimecommunitynums2 (1) 5.7897479908332
sleep (1) 21.174082491232
rsctc2010_1 (1) 2.2492792415555
BNG(anneal,5000,1) (1) 2.9252065747853
BNG(letter,10000,1) (1) 0.52455590841537
BNG(kr-vs-kp,5000,5) (1)
physionet_bradycardia (1) 2.5096188861047
a8a (1) 475.85342892771
nki70.arff (1) 0.8266703212254
german.numer (1) 2.9678988156948
BNG(lymph,10000,10) (1) -0.61952371843631
BNG(letter,5000,1) (1) 0.53882541342229
BNG(SPECT) (1)
BNG(stock) (1) -0.54097209802881
AP_Breast_Uterus (1) 26.882228605764
BNG(autos,1000,5) (1) 0.9326968260347
BNG(lymph,5000,10) (1) -0.77542065895395
BNG(solar-flare) (1)
yeast (5) 81.40007602601
yeast (6) 81.40007602601
allhyper (1) -0.0030079841938266
auto (1) 0.67804594377143
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) -1.2842741431546
analcatdata_fraud (1)
birds (3) 139.78776052221
emotions (3) 4.600284052372
enron (2)
calendarDOW (1) 10.341804609525
car-evaluation (1)
clean1 (1) 1.4702269439973
clean2 (1) 1.0895455998077
corral (1)
pvy1 (1) 0.43188802208349
testpvy (1) 0.43188802208349
RAM_price (1) 315.44939516548
synthetic_control (7) 0.03284976007376
synthetic_control (8) 0.03284976007376
porto-seguro (1) 0.96416344002503
synthetic_control (9) 0.03284976007376
synthetic_control (10) 0.03284976007376
synthetic_control (11) 0.03284976007376
Klaverjas2018 (1) -1.3593880836728
ames-housing (1) 17.859150312217
hpc-job-scheduling (1) 84.639075820844