Measure

Quartile1KurtosisOfNumericAtts

First quartile of kurtosis among attributes of the numeric type.

Value per dataset

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075282 (1) -1.0541123930054
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 0.60294943168132
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) -0.40311779606967
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) 0.40199774531746
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 0.45117879589347
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) -0.54190907962869
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) 0.19331708695555
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) -0.46430440776602
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) -0.43888789078668
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) -0.47890069208203
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) -0.44050237244734
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) 1.3579309552562
SensorDataResource (1) 1.9059278095477
IBO (1) -1.2047171320691
CoverType5percent (1) -0.59853883020935
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) 0.035841975877625
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) -0.23762720358385
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) -0.22140270166574
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) -0.28147317000595
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) -0.46515691018012
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) -0.30251827678129
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) -0.94848664634845
cjs (3) -0.53338154421738
COMET_MC_SAMPLE (1) -1.2000208517008
COMET_MC_SAMPLE (2) -1.2030077460007
COMET_MC_SAMPLE (3) -1.2015039325904
COMET_MC_SAMPLE (4) -1.200041583933
YAGO_Schema_KGE (1) 47.0718991533
yagoSchema.ttl (4) 23.841847138824
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2714 (1) -0.11107451158893
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2717 (1) -0.94113933581263
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) -0.38307824989616
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2778 (1) 0.79789748066966
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) -0.35611319944113
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) 0.57580858159884
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) -1.0922075394008
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3023 (1) -0.73385821879536
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL256 (1) 0.92946069517609
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) 2.0497149405801
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 1.5378376099692
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) -1.9802425445193
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) -0.34389034625729
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) 1.4934448632822
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) -0.0078279044819705
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) 0.8896472639848
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) -0.3602705020544
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4581 (1) 0.30925353559839
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4715 (1) 0.47598392641225
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) -0.46547226868943
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3626 (1) 0.55416327778163
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3473 (1) 0.58709974863124
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3686 (1) -1.107067077376
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3703 (1) -0.93083443309744
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3721 (1) 1.8231932544451
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) 0.010580937580486
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3840 (1) 0.59394806857708
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3849 (1) 0.88164459367619
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL321 (1) 2.6931493128048
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) -0.042097888333857
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 0.37885350351236
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2074 (1) 0.60543237850055
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2099 (1) 10.238035854296
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2113 (1) 1.1121379239995
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2146296 (1) 1.4434834471174
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL210 (1) 0.68267037894058
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) -0.903309832341
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) -0.14049593790201
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) 1.5452798881009
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) -0.88586923693937
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) -0.45954396152487
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 0.23651275667455
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1795135 (1) -0.58842737388449
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908386 (1) -0.46753423154385
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1926495 (1) -1.4166593749
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1952 (1) 0.91142295170582
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007622 (1) -0.25941865575472
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2006 (1) -1.2244897959184
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007629 (1) 0.67175025832179
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2055 (1) 0.20496730487494
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3225 (1) -1.0663506040334
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3241 (1) -0.31787411128506
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 2.1142158016337
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3323 (1) -0.071868975583423
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3346 (1) -0.83734473973018
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3349 (1) -1.0961707267814
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3229 (1) 0.28878889319917
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3452 (1) -2.0089278721905
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) -0.25383211001145
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL301 (1) 0.52363362807413
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) 0.97880956980815
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4767 (1) 0.63418980744228
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4809 (1) -1.9277964913274
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) -0.99104827826308
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) -0.44960071759201
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) 2.3998112677835
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) -0.59283092036806
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5044 (1) -0.45506015828682
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5047 (1) -0.49387328591819
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) -0.49439962475534
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3836 (1) 0.30897181245937
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3886 (1) 0.12471238804772
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3992 (1) -0.91821739706072
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) -0.60189193728955
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) -0.14802882325392
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) -0.34629805119891
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) 0.18906834314531
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) 0.40808643910991
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) -0.69687763740385
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 1.8949141333876
WaveformDatabaseGenerator (1) -0.53109082439266
BachChoralHarmony (1) -0.93213579352992
TurkiyeStudentEvaluation (1) -0.97109621974247
Engine1 (1) -0.8808691160772
YearPredictionMSD (1) 11.688940388415
Concrete_Data (1) -0.55983419385866
Diabetes130US (1) -0.090563708747785
GeographicalOriginalofMusic (1) 2.937076600224
OnlineNewsPopularity (1) 0.6338533069898
BuzzinsocialmediaTomsHardware (1) 46.322787422698
Buzzinsocialmedia_Twitter (1) 310.08941451111
MiceProtein (1) 0.21007824919108
KDD98 (1) 2.4730677338104
sulfur (1) -0.70356671787085
debutanizer (1) -0.33696986921783
F2Pmodel3smoted (1) 0.22932733662138
F2Pmodel4smoted (1) 0.4768377383641
parkinsons-telemonitoring (1) -0.48683904866292
higgs (1) -1.2016281646028
KEGGMetabolicReactionNetwork (1) 2.5167668664972
Census-Income (1) -1.2913123923895
CreditCardSubset (1) 1.5415365987695
Physical_Activity_Recognition_Dataset_Using_Five_Smartphones (1) 0.8052860969692
data (1) -0.4030502208901
thoracic_surgery (1) -0.12185403920809
COMET_MC (1) -1.2000004749575
COMET_MC (2) -1.2000004749575
ant (1) 0.44379006857836
ant (2) 0.43583197258623
Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors (1) 0.9984031842619
InterferenceSeperation (1) -1.7561985466657
S1S1_1s50_31features_7tasks (1) 2.2441880466994
kdd_internet_usage (2)
Dexter (1) 253.7069908347
Dorothea (1) 71.997748223933
DBpedia(YAGO).arff (1) -1.1999999999967
Wikidata (1)
NELL (1)
covertype (3) 0.20290777112819
BNG(labor,nominal,1000000) (1)
BNG(vote) (1)
RandomRBF_50_1E-3 (1) -0.077575850177453
BNG(hypothyroid,nominal,1000000) (1)
BNG(page-blocks) (1) 3.5638397933884
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) -0.079926109475736
BNG(primary-tumor) (1)
monks-problems-3_train (1)
bridges (1) -0.36316477697828
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) -0.019348574480579
spectf_test (1) 2.4963127255367
spectf_train (1) 1.3363113250924
mbagrade (1) -0.29766518636022
wisconsin (1) 0.44111439532739
vineyard (1) -0.74590035519805
bolts (1) -1.8237908961593
cpu_act (1) 4.8911241724091
SEA(50) (1) -1.1999632908971
SEA(50000) (1) -1.1999737945892
LED(50000) (1)
pokerhand (1) -0.50698925778699
pol (1) 3.3340719419135
triazines (1) 0.21260505796022
detroit (1) -1.3401945317886
gascons (1) -1.1482764025495
elusage (1) -1.2958937271385
BNG(waveform-5000) (1) -0.6031181287625
BNG(zoo) (1) -0.47943254842282
IMDB.drama (1) 44.067197586827
20_newsgroups.drift (1)
BNG(pendigits) (1) -1.1879319049213
BNG(cylinder-bands) (1) -0.28427501782315
BNG(dermatology) (1) -0.80375041723703
BNG(sonar) (1) -0.59687402082635
BNG(heart-c) (1) -0.4154529519901
BNG(heart-statlog) (1) -1.4626851122175
BNG(vehicle) (1) -0.71948201768114
BNG(hepatitis) (1) -0.40849170420912
BNG(vowel) (1) -0.70463927529831
BNG(bridges_version1) (1) -0.41831619940172
BNG(mfeat-zernike) (1) -0.55703365346975
BNG(colic.ORIG) (1) 0.22973784556528
BNG(colic) (1) -0.20585031608002
BNG(credit-a) (1) 0.86407296375883
BNG(credit-g) (1) -1.2202817267998
covertype (2) 5.2304442425152
satellite_image (1) -0.88295518205217
Ailerons (1) 4.6682509166355
coil2000 (1) 0.39705811975473
libras_move (1) -0.88328095733629
BNG(anneal) (1) -0.47368886186695
BNG(anneal.ORIG) (2) -0.40342290066473
BNG(labor) (2) -0.4230542944994
BNG(letter) (2) -0.30197035511168
BNG(autos) (1) -0.18079351328198
BNG(lymph) (1) -0.63852940236592
BNG(mfeat-fourier) (1) -0.40604631303839
ozone_level (1) 29.830511317867
puma32H (1) -1.2053931349984
longley (1) -1.2
diabetes_numeric (1) -0.64765083413635
baskball (1) -0.86886879857536
2dplanes (1) -1.5040346982302
pyrim (1) 0.12252923967409
house_8L (1) 2.381661690547
tr31.wc (1) 167.11586366838
oh15.wc (1) 117.09767451044
new3s.wc (1) 1142.8727941036
la2s.wc (1) 304.36246006782
oh5.wc (1) 117.75760694449
re1.wc (1) 154.99446871642
la1s.wc (1) 342.71193362974
wap.wc (1) 151.49542199117
ohscal.wc (1) 1006.1294308174
yokohoma2 (1) -0.50945190104783
heyl (1) 2.0370370384761
yokohoma1 (1) 0.059810713862802
mtp (1) 1.0021367906289
qsbr_y2 (1) -0.071669150838477
krystek (1) -0.48968912659331
depreux (1) 7.4872369248219
pdgfr (1) -0.2304846551136
carbolenes (1) -0.54157089485611
garrat2 (1) 3.7110024516793
Phen (1) -0.80995818430871
siddiqi (1) 0.28286919793274
lewis (1) -0.096444852027416
thompson (1) -0.1418123777478
yprop_4_1 (1) 25.983762038356
tsutumi (1) 0.2736778605718
strupcz (1) 1.7250937306444
PHENETYL1 (1) -0.79546696608145
cristalli (1) 2.1463719279661
codrna (1) 1.1300960254515
poker (1) -1.3608804059534
chembl1075021test1 (1) 4.6893328445748
mv (1) -1.2034668370438
aids (1) 1.3448180326098
bridges (4)
qsbralks (1) -0.50624142345442
stevenson (1) -0.11301504968789
qsartox (1) -0.59716105723695
benzo32 (1) -0.0279794071369
uehling (1) 0.13171613899544
rosowky (1) -1.2219343668852
garrat (1) 1.5601683369584
doherty (1) -1.8740091920249
chang (1) 0.38414226746245
qsabr2 (1) -0.63730539996785
selwood (1) 0.11555305879084
topo_2_1 (1) 3.0092366348094
svensson (1) -0.24834003482896
pah (1) 0.34141497906795
penning (1) 1.4046153932134
qsfsr1 (1) -0.85963842379777
qsfrdhla (1) -1.1872757102941
qsprcmpx (1) -1.4539975905148
qsfsr2 (1) -0.97472942797663
mtp2 (1) 7.0364460005156
analcatdata_birthday (1) -0.68710290164929
OVA_Colon (1) 5.1954956990546
AP_Ovary_Uterus (1) 3.1451906197896
AP_Lung_Kidney (1) 2.8649045991648
AP_Endometrium_Uterus (1) 1.9336652922629
AP_Breast_Ovary (1) 4.2355610748205
OVA_Ovary (1) 5.1954956990546
AP_Endometrium_Prostate (1) 1.1901418731865
AP_Prostate_Kidney (1) 2.1018767199082
AP_Breast_Colon (1) 3.167606403225
OVA_Prostate (1) 5.1954956990546
analcatdata_michiganacc (1) -0.76672251158884
detroit (2) -1.3412208458772
kidney (1) -0.9307044994481
analcatdata_apnea3 (1) -1.2075015806393
analcatdata_apnea2 (1) -1.2067266277278
analcatdata_apnea1 (1) -1.2067266277278
bank32nh (1) -1.2019028482982
bodyfat (1) 0.39567752094225
cloud (2) 0.27886869863818
yeast_gene (1) -0.75500627656965
GCM (1) 3.3276039105469
KDDCup99_full (1) 0.84388598604802
analcatdata_draft (1) -1.2
cjs (1) -0.55103577000296
cpu (1) 7.0627671116553
cpu_small (2) 3.8305071784914
fried (1) -1.1980185323938
meta (1) -0.03848173783478
kdd_coil_1 (1) 1.1466474640688
kdd_coil_2 (1) 1.2702564259088
auto93 (1) -0.32795334145311
kdd_coil_3 (1) 1.2702564259088
AP_Omentum_Kidney (1) 2.8259958553529
AP_Ovary_Kidney (1) 3.5767625435033
AP_Breast_Lung (1) 3.8725639481547
visualizing_ethanol (1) -1.4338328706639
chscase_geyser1 (1) -1.6933835161298
chscase_vine1 (1) -0.75360119410425
rabe_131 (1) -1.1587131441476
diggle_table_a1 (1) -0.94685727589528
chatfield_4 (1) 0.35973319724372
hutsof99_child_witness (1) -0.85604239987629
rabe_97 (1) -1.3040439144525
rabe_176 (1) -0.35681648031331
disclosure_z (1) -0.041012829211117
sleuth_ex1221 (1) 0.35108795757087
chscase_foot (1) -1.5251503585576
disclosure_x_noise (1) -0.019450398999672
chscase_health (1) -1.3212497247717
sleuth_case1202 (1) -1.1487249831635
sleuth_case1201 (1) -1.3053613993092
visualizing_hamster (1) -0.6425374900569
disclosure_x_bias (1) -0.067028587802462
rabe_148 (1) 1.9990728623045
BNG(spectf_test) (1) 1.2505533529395
BNG(adult) (1) 0.46825510475918
BNG(satimage) (1) -0.82725733890838
BNG(baseball) (1) 0.085029329171949
BNG(wine) (1) -0.93895164983907
BNG(eucalyptus) (1) -0.73514560572281
BNG(wisconsin) (1) 0.043477238283907
BNG(cleveland) (1) -0.30306064981238
BNG(cpu_act) (1) 4.3667324650024
Goteborg_52 (1) -1.1051065136531
BNG(solar-flare) (1)
BNG(pbc) (1) -0.037117869726131
BNG(lowbwt) (1) -0.47069112865742
BNG(cholesterol) (1) -0.67010264924036
BNG(autoPrice) (1) -0.35577322986018
BNG(pharynx) (1) -0.36926524054809
BNG(2dplanes) (1) -1.5038272745952
BNG(elevators) (1) -0.089624614128438
BNG(echoMonths) (1) -0.16757732824288
ESL (2) -0.15830809278096
ada_prior (1) 0.49951354612873
hiva_agnostic (1) 5.8176491176331
vowel (3) -0.55985691989667
cjs (2) -0.55103577000296
ESL (1) -0.15830809278096
SWD (1) -1.4204538311475
LEV (1) -1.2233164587773
ERA (1) -1.237202602125
BNG(anneal,1000,1) (1) -1.021956289315
BNG(anneal,1000,5) (1) -1.4928394542073
BNG(anneal,1000,10) (1) -1.5361721430269
BNG(anneal,5000,5) (1) -1.0208445730624
BNG(anneal,5000,10) (1) -1.2115039648328
BNG(anneal,10000,1) (1) -0.95948525340516
BNG(anneal,10000,5) (1) -0.93967551560844
BNG(anneal,10000,10) (1) -1.0198141212619
BNG(anneal.ORIG,1000,1) (1) -1.3007872556354
eating (1) 0.44519015061738
Stagger1 (1)
BNG(anneal.ORIG,1000,5) (1) -1.4954188306606
BNG(anneal.ORIG,1000,10) (1) -1.5067088450867
BNG(anneal.ORIG,5000,1) (1) -0.91942028415247
BNG(anneal.ORIG,5000,5) (1) -1.2946255331109
BNG(anneal.ORIG,5000,10) (1) -1.4622002412403
BNG(anneal.ORIG,10000,1) (1) -0.9287689602956
BNG(anneal.ORIG,10000,5) (1) -0.81306559562356
BNG(anneal.ORIG,10000,10) (1) -1.2775659283983
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) -0.29404021216659
BNG(letter,1000,10) (1) -0.28937891771776
BNG(breastTumor) (1) -0.66432993635564
BNG(cpu_small) (1) 3.2288138744522
BNG(pwLinear) (1) -1.5658208661818
BNG(wine_quality) (1) -0.39708195746552
BNG(Australian) (1) -1.4917651843034
BNG(satellite_image) (1) -0.85298057055344
BNG(Ailerons) (1) 1.6828488868231
BNG(libras_move) (1) -0.86675533791471
BNG(vowel) (2) -0.70603353639162
BNG(puma32H) (1) -1.2049287302275
BNG(SPECTF) (1) 1.2239751337058
Click_prediction_small (1) -0.92208088689427
Click_prediction_small (2) -1.0320830178322
Click_prediction_small (4) -1.0411652747831
Stagger2 (1)
Stagger3 (1)
AirlinesCodrnaAdult (1) 0.39756542620463
codrnaNorm (1) 1.1300959755348
lungcancer_shedden (1) 0.14591444375774
letter-challenge-unlabeled.arff (1) 0.30913249585388
letter-challenge-labeled.arff (1) 0.30913249585388
Click_prediction_small (6) -1.0411662687992
AP_Endometrium_Omentum (1) 1.8108872043565
AP_Prostate_Ovary (1) 2.8885037212927
AP_Colon_Ovary (1) 3.033676354754
AP_Endometrium_Lung (1) 2.2310870302513
AP_Prostate_Lung (1) 1.8846446803986
AP_Omentum_Ovary (1) 2.9811513383775
AP_Endometrium_Kidney (1) 2.4466180480247
AP_Breast_Kidney (1) 3.875513505914
AP_Endometrium_Ovary (1) 2.9328776080665
AP_Colon_Uterus (1) 2.2164769213938
fourclass_scale (1) -1.6415832585347
german.numer (2) -1.1755003412916
gisette (1) 1.0055014253645
heart (1) -1.5849290887083
ijcnn (1) 5.1113272671742
rcv1.binary (1) 6764.9500244842
real-sim (1) 1763.7592391665
splice (3) -1.3109966275059
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) -1.3608810028716
poker-hand (2) -1.36088003779
connect-4 (1) 0.35908539003805
aloi (1) 3.3146423338153
SensIT-Vehicle-Combined (1) 14.854078566967
news20 (2) 2842.570955506
poker (2) -1.36070724488
creditcard (1) 2.6068978742063
w1a (1) 13.030116592382
w2a (1) 13.030116592382
w3a (1) 13.030116592381
w4a (1) 13.030116592382
w5a (1) 13.030116592382
w6a (1) 13.030116592381
w7a (1) 13.030116592382
w8a (1) 13.147448493362
svmguide3 (1) 0.44868038514115
arsenic-male-bladder (1) -1.1745941944132
iq_brain_size (1) -0.75891034374792
analcatdata_vehicle (1) 0.11827450378097
papir_2 (1) -0.5339448833818
dj30-1985-2003 (1) 1.4400917021521
hip (1) -0.081028560890758
analcatdata_impeach (1) -1.6850447380302
analcatdata_whale (1) -1.2
wind (1) -0.011250112047292
analcatdata_supreme (1) -1.4228104817095
tecator (1) 0.58298566242665
analcatdata_gsssexsurvey (1) 0.53763835510394
space_ga (1) 0.28087609525138
nflpass (1) -0.46614861181477
places (1) 0.83700218295579
sleep (2) -1.2021790626517
delta_elevators (2) -0.42225076762322
bank8FM (1) -1.2287684592491
cpu_act (2) 4.8911241724091
house_16H (1) 4.9898493779422
kdd_coil_4 (1) 1.2702564259088
kdd_coil_5 (1) 1.2702564259088
kdd_coil_6 (1) 1.2702564259088
kdd_coil_7 (1) 1.2702564259088
fri_c0_250_5 (1) -1.1978853615856
fri_c4_250_100 (1) -1.2530183922285
analcatdata_ncaa (1) -0.58983050847457
pm10 (1) -1.1261494686979
analcatdata_neavote (1) -1.8980866257798
pbc (2) -0.62213609477757
analcatdata_seropositive (1) -1.2011454932904
analcatdata_election2000 (1) 5.0057196981806
humandevel (1) -1.2590002217936
pollen (1) -0.23453763894407
analcatdata_olympic2000 (1) 0.55855389891427
boston (1) -0.79705954144836
analcatdata_uktrainacc (1) 0.96490323011768
arsenic-female-bladder (1) -1.1745941944132
cps_85_wages (1) -0.53083205950215
analcatdata_chlamydia (1) 18.110850169333
arsenic-male-lung (1) -1.1745941944132
houses (1) -0.95919431754233
analcatdata_galapagos (1) 1.2640080323868
mu284 (1) 0.089972233015675
plasma_retinol (1) 2.015638919534
balloon (1) 16.966793966665
arsenic-female-lung (1) -1.1745941944132
baseball-team (1) -0.65248450763871
pbcseq (1) -0.62417219924458
analcatdata_gviolence (1) -0.16422058540087
vinnie (1) -1.3003409421732
analcatdata_wildcat (1) -0.25055207402634
socmob (1) 25.097171938704
pollution (1) 0.073714262860557
boston_corrected (1) -1.0550617933197
transplant (1) -1.2
lmpavw (1) 0.10511446192346
sensory (1) 0.065675565393938
no2 (1) -1.2067134039343
strikes (1) -1.1932074317567
quake (2) -0.81349347517574
fri_c3_500_25 (1) -1.2337027158806
fri_c1_500_25 (1) -1.2376621519003
fri_c1_1000_50 (1) -1.2291113930991
fri_c4_500_25 (1) -1.2281675131572
fri_c3_100_10 (1) -1.1450786785042
fri_c3_1000_25 (1) -1.2049560130101
fri_c3_100_50 (1) -1.2302172161719
fri_c4_1000_100 (1) -1.2254041671229
fri_c2_1000_25 (1) -1.2176868900696
fri_c0_1000_50 (1) -1.2232275348741
analcatdata_negotiation (1) -0.35487076041023
newton_hema (1) -0.92459083931558
wind_correlations (1) -0.021419081164806
analcatdata_hiroshima (1) 1.6557060545938
djdc0093 (1) -1.3502939237583
analcatdata_runshoes (1) -0.71630975811533
analcatdata_vineyard (1) -1.2144284461673
fri_c1_100_10 (1) -1.2330863006152
fri_c4_1000_25 (1) -1.1976317026628
fri_c1_1000_10 (1) -1.2288686973182
fri_c2_100_5 (1) -1.0606290254306
fri_c0_1000_10 (1) -1.2329355504055
fri_c2_250_5 (1) -1.2429561936955
fri_c2_500_5 (1) -1.2434482532762
fri_c0_1000_25 (1) -1.219959069629
fri_c2_1000_5 (1) -1.1978568477554
fri_c0_100_50 (1) -1.26952815794
rsctc2010_5 (1) -0.34545906052526
rsctc2010_6 (1) -0.23323816477156
mouseType (1) 0.030313537173994
BurkittLymphoma (1) 0.032239442048701
anthracyclineTaxaneChemotherapy (1) -0.10963112976553
ovarianTumour (1) 0.18884783098631
hepatitisC (1) 0.18884783098631
variousCancers_final (1) 0.015986140620052
USCrime (1) -0.82098693070048
MercuryinBass (1) -0.46522837389541
qsabr1 (1) -0.63730539996785
qsbr_rw1 (1) -1.6255243374588
prnn_crabs (1) -0.75891381603566
hutsof99_logis (1) -0.753121460065
rabe_166 (1) -1.3838845141362
rmftsa_ctoarrivals (1) -1.2050292556383
sleuth_ex1605 (1) -0.21174562006484
visualizing_soil (1) -1.3138453714685
chscase_vine2 (1) -1.2303119202552
visualizing_galaxy (1) -0.92128822848212
chscase_census4 (1) 0.014162423166996
chscase_census3 (1) -0.055583764256443
chscase_census2 (1) 0.51044412338045
chscase_demand (1) -1.1842104313172
visualizing_slope (1) -1.4423330105416
disclosure_x_tampered (1) -0.030670707807679
visualizing_environmental (1) -0.84808160988451
chscase_funds (1) -1.2432010145553
fri_c0_100_25 (1) -1.2359184451349
fri_c4_100_100 (1) -1.2607441175905
fri_c0_250_25 (1) -1.2673652395367
fri_c0_500_10 (1) -1.1914054628151
fri_c2_100_25 (1) -1.2724399533762
fri_c1_100_5 (1) -1.1480580213188
fri_c2_250_10 (1) -1.2543100556312
fri_c3_250_25 (1) -1.2188725192254
sleuth_ex1714 (1) -0.84894150087163
rabe_265 (1) -0.6888002852103
fri_c1_250_5 (1) -1.2039366395642
fri_c3_250_10 (1) -1.2088479069694
fri_c0_250_50 (1) -1.2419343369041
fri_c4_500_10 (1) -1.2062044813997
fri_c2_250_25 (1) -1.2693629302609
fri_c2_1000_10 (1) -1.1962725395993
fri_c4_1000_50 (1) -1.2044763545753
fri_c3_1000_10 (1) -1.1931879720914
fri_c0_1000_5 (1) -1.2027405238099
fri_c4_500_100 (1) -1.2323850431392
fri_c1_500_5 (1) -1.1799447211859
fri_c3_250_50 (1) -1.2388496054751
fri_c0_500_25 (1) -1.2168936270698
fri_c2_100_10 (1) -1.295726962959
fri_c0_250_10 (1) -1.1866639579973
fri_c1_100_50 (1) -1.2376474236436
fri_c1_500_50 (1) -1.2236229488668
fri_c2_250_50 (1) -1.2258745626591
fri_c3_100_25 (1) -1.2527660431335
fri_c4_100_10 (1) -1.2227838461398
fri_c1_500_10 (1) -1.2292755245795
fri_c4_100_50 (1) -1.1994360985022
fri_c2_500_25 (1) -1.2164774406984
fri_c4_250_25 (1) -1.2381230749383
fri_c3_500_50 (1) -1.2385941026298
fri_c3_500_10 (1) -1.2076612331685
fri_c1_250_10 (1) -1.246589422712
fri_c1_250_50 (1) -1.2523515606797
fri_c0_500_5 (1) -1.2664461641563
fri_c0_500_50 (1) -1.241945452794
fri_c0_100_10 (1) -1.276307674014
fri_c2_1000_50 (1) -1.2170183115108
fri_c4_1000_10 (1) -1.2467638014696
fri_c0_100_5 (1) -1.1854586273829
fri_c4_100_25 (1) -1.2723317512326
fri_c2_500_50 (1) -1.2376778640026
fri_c2_500_10 (1) -1.2332327972724
fri_c3_1000_5 (1) -1.1757650060564
fri_c1_100_25 (1) -1.1897722669281
fri_c2_100_50 (1) -1.2452769203834
sleuth_case1102 (1) -0.94456145545953
rabe_266 (1) -1.2251098556183
chscase_census6 (1) 3.0426458481377
sleuth_case2002 (1) -0.49412670708397
rmftsa_ladata (1) -0.41638119316282
witmer_census_1980 (1) -0.48319592918381
chscase_census5 (1) -0.17620488395003
fri_c3_100_5 (1) -1.1283102145678
fri_c1_1000_5 (1) -1.200560147826
fri_c3_250_5 (1) -1.0338964006112
fri_c1_250_25 (1) -1.2589599478637
fri_c4_250_10 (1) -1.1553875270599
fri_c4_500_50 (1) -1.2366083403427
fri_c3_500_5 (1) -1.2062034754531
fri_c3_1000_50 (1) -1.2253652858898
fri_c4_250_50 (1) -1.2187477880447
fri_c1_1000_25 (1) -1.2082105576429
KDDCup09_churn (1) 14.829687409915
KDDCup99 (1) 0.88629725940992
KDDCup09_upselling (1) 14.829687409915
nasa_numeric (1) -0.88134150720015
rsctc2010_2 (1) 0.28796568697384
rsctc2010_3 (1) -0.7109702681081
rsctc2010_4 (1) 0.061859740980311
gina_prior (1) -1.1897036241354
cocomo_numeric (1) 3.2916122242425
humans_numeric (1) 4.0594268454285
SMSA (1) 0.89681430010349
Brainsize (1) -1.4815931609587
Acorns (1) -0.83212408372243
Cereals (1) 0.0034914642648765
FacultySalaries (1) -0.45563481490112
ICU (1) -0.38021148471812
pubexpendat (1) -1.1865990646496
EgyptianSkulls (1) -0.89380475315868
qqdefects_numeric (1) 1.6575534744669
AP_Endometrium_Breast (1) 3.4353949648423
AP_Omentum_Uterus (1) 2.2349712981006
AP_Omentum_Prostate (1) 1.597816596295
AP_Colon_Lung (1) 2.2755531433655
AP_Breast_Omentum (1) 3.5483271394792
OVA_Breast (1) 5.1954956990546
AP_Uterus_Kidney (1) 2.6380372204936
BNG(letter,5000,5) (1) -0.29393290163586
BNG(letter,5000,10) (1) -0.28925167483137
BNG(letter,10000,5) (1) -0.29677817418623
BNG(letter,10000,10) (1) -0.29405029682299
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) -0.23872198623001
BNG(autos,1000,10) (1) -0.31327811879094
BNG(autos,5000,1) (1) -0.21521714624942
BNG(autos,5000,5) (1) -0.23855302971135
BNG(autos,5000,10) (1) -0.24867901977563
BNG(autos,10000,1) (1) -0.23035252938254
BNG(autos,10000,5) (1) -0.24644465061528
appendicitis (1) 0.12732693051768
arcene (1) -0.35549333587222
colon-cancer (1) -0.4162844992644
svmguide1 (1) -1.4272526799156
duke-breast-cancer (1) 0.70393803187883
fourclass (1) -1.6415832585347
iris-test (1) -0.55206390702621
AccelerometerData (1)
BNG(autos,10000,10) (1) -0.23935819590145
BNG(lymph,1000,5) (1) -1.2952436545016
BNG(lymph,1000,10) (1) -1.268752788035
BNG(lymph,5000,1) (1) -1.4258673847621
BNG(lymph,5000,5) (1) -1.1950343256083
BNG(lymph,10000,1) (1) -1.4872130841663
BNG(lymph,10000,5) (1) -1.1120603489904
a1a (1) 2.8579696085308
a2a (1) 2.8579696085308
a3a (1) 2.8579696085308
a5a (1) 2.8579696085308
a6a (1) 2.8579696085307
a7a (1) 2.8579696085308
a9a (1) 2.8447298010917
lungcancer_GSE31210 (1) -0.044970468401195
MyIris (1) -1.3863791432689
Kaggle_bike_sharing_demand_challange (1) -0.88230295546929
physionet_asystole (1) -0.91062223555438
physionet_tachycardia (1) -0.34436617079118
contact-lenses (1)
KungChi3 (1) 2.3301004952865
KnuggetChase3 (1) 2.9036904470099
MeanWhile1 (1) 2.4929797717761
MindCave2 (1) 3.3118703489565
AP_Prostate_Uterus (1) 1.7992310261245
AP_Omentum_Lung (1) 2.4129987094955
AP_Endometrium_Colon (1) 1.9152616061131
OVA_Kidney (1) 5.1954956990546
AP_Colon_Prostate (1) 1.6214565739405
AP_Colon_Kidney (1) 2.1755183022712
OVA_Uterus (1) 5.1954956990546
OVA_Omentum (1) 5.1954956990547
robot-failures-lp1 (1) 4.6058598446791
robot-failures-lp2 (1) 0.63075025477902
robot-failures-lp3 (1) 0.63075025477902
ldpa (1) -1.2000207221209
gas-drift (1) 4.2281353370844
gas-drift-different-concentrations (1) 4.2518611472544
skin-segmentation (1) -0.91547116072892
spoken-arabic-digit (1) -0.34430789608555
Model4scaledsmoted (1) -0.9028338174788
thyroid-ann (1) 9.2185210728703
wine-quality-white (1) 0.57185323335346
thyroid-allbp (1) 7.0228318237807
thyroid-allhyper (1) 7.0228318237807
thyroid-allhypo (1) 7.0228318237807
thyroid-allrep (1) 7.0228318237807
thyroid-dis (1) 7.0228318237807
F2pmodel4scaledsmoted (1) -0.90271456915015
treepipit (1) -0.78409167590459
Australian (2) -1.9193787889705
Australian (3) -1.5441790194101
andro (1) -1.0150809500964
atp1d (1) 1.1507660603548
atp7d (1) 0.59283157151535
edm (1) -1.2071438233173
enb (1) -1.4650186460186
jura (1) -0.65164221989275
osales (1) 5.8983567993973
rf1 (1) 0.33370008282895
rf2 (1) 51.155825358174
scm1d (1) -0.13698012900046
scm20d (1) -0.98168490301914
scpf (1) 0.511302759191
sf1 (1) 9.6357275861297
sf2 (1) 19.616516904622
slump (1) -1.0211210460018
wq (1) 1.5346989901133
youtube (1) 0.55664313408117
voldata15 (1) -0.2690132994252
SampleFile (1)
Fitnessapp (1) -1.2
winequality-white-3-9_vs_5 (1) 1.0283772130441
poker-8-9_vs_6 (1) -1.36674635352
winequality-red-3_vs_5 (1) -0.015560096494245
abalone-20_vs_8-9-10 (1) -0.15940860645382
poker-8-9_vs_5 (1) -1.3232922690515
poker-8_vs_6 (1) -1.3653145320397
abalone19 (1) -0.021738594837613
Wiki (1) 4.696381820329
iris (6) -1.3867285607945
ecoli4 (1) -0.93821396895659
yeast-1_vs_7 (1) 0.68506427622359
glass4 (1) 2.4679994313953
page-blocks-1-3_vs_4 (1) 0.52782654702916
abalone9-18 (1) 0.12867188525686
dermatology-6 (1) -0.22332617867831
zoo-3 (1)
glass-0-1-6_vs_5 (1) 1.9428863343306
yeast-1-4-5-8_vs_7 (1) 0.45729341211912
glass5 (1) 2.4679994313953
winequality-white-9_vs_4 (1) 0.096373832911442
yeast5 (1) 0.81941311518953
winequality-red-8_vs_6 (1) 0.10796040568284
yeast6 (1) 0.81941311518953
ecoli-0-1-3-7_vs_2-6 (1) -0.71727922169073
abalone-17_vs_7-8-9-10 (1) -0.45837690139142
abalone-21_vs_8 (1) -0.042026484411914
winequality-white-3_vs_7 (1) 0.2087024847432
winequality-red-8_vs_6-7 (1) 0.089042656160809
abalone-19_vs_10-11-12-13 (1) 0.068190714328966
yeast-2_vs_8 (1) 1.8337531511811
lymphography-normal-fibrosis (1) -0.50409604824253
flare-F (1)
car-good (1)
car-vgood (1)
yeast4 (1) 0.81941311518953
winequality-red-4 (1) 0.80694250824659
poker-9_vs_7 (1) -1.347104258507
yeast-1-2-8-9_vs_7 (1) 1.9644786339431
abalone-3_vs_11 (1) -0.11500705251924
ecoli-0-1-4-7_vs_2-3-5-6 (1) -0.91865590287421
led7digit-0-2-4-5-6-7-8-9_vs_1 (1) -1.694470738757
ecoli-0-1_vs_5 (1) -0.71166675994981
glass-0-6_vs_5 (1) 0.84866562788063
glass-0-1-4-6_vs_2 (1) 1.7896443999406
ecoli-0-1-4-7_vs_5-6 (1) -0.91491180342703
ecoli-0-1-4-6_vs_5 (1) -0.91945705415928
ecoli-0-6-7_vs_5 (1) -0.43023721016022
vowel0 (1) -0.9887276408221
glass-0-1-6_vs_2 (1) 1.2532631738525
CPMP-2015-classification (1) -0.92993719172428
MIP-2016-regression (1) 65.242120976928
MIP-2016-classification (1) 66.480140672329
ASP-POTASSCO-regression (1) 2.4420274620899
ASP-POTASSCO-classification (1) 2.5121476927798
testdata (1) 2713.5598368067
AP_Lung_Uterus (1) 2.5070891178553
BNG(kr-vs-kp,1000,1) (1)
rainfall_bangladesh (3) -1.1261372723532
CPMP-2015-runtime-classification (1) -0.94711194011518
MIP-2016-PAR10-classification (1) 71.714762236872
BNG(auto_price) (1) -0.33721593251488
Sick_numeric (2) 0.16295494989621
ilpd-numeric (2) -0.43094501562356
ilpd-numeric (1) -0.56006564094301
BNG(lymph,1000,1) (1) -1.1976158251853
BNG(kr-vs-kp,1000,10) (1)
BNG(spect_test) (1)
Satellite (1) -0.88339726491326
dentaire (1) 0.91384565440871
iris_test_upload (1) -1.3863791432689
Elegibilidade (1)
kc1-numeric (1) 2.4593945787532
cnae-9 (2) 56.205993231878
isolet (2) -0.37173316044375
USPS (3) -1.1170170190454
artificial-characters (1) -0.53358219340744
LED-display-domain-7digit (1) -1.8253446979076
seattlecrime6 (1) -0.7968204874644
us_crime (1) 0.081085705354977
Click_prediction_small (3) -1.0342762211316
crimecommunitynums (1) 0.081085705354977
crimecommunitynums2 (1) 0.21548566125815
sleep (1) -1.2172974538057
rsctc2010_1 (1) 0.28796568697384
BNG(anneal,5000,1) (1) -0.94774740250612
BNG(letter,10000,1) (1) -0.29098662764613
BNG(kr-vs-kp,5000,5) (1)
physionet_bradycardia (1) -0.86409525556128
a8a (1) 2.8579696085308
nki70.arff (1) -0.041836977872212
german.numer (1) -1.1755003412916
BNG(lymph,10000,10) (1) -1.1939584690672
BNG(letter,5000,1) (1) -0.288694387158
BNG(SPECT) (1)
BNG(stock) (1) -1.0950887453897
AP_Breast_Uterus (1) 3.5961575909087
BNG(autos,1000,5) (1) -0.32224474409143
BNG(lymph,5000,10) (1) -1.2709718866946
BNG(solar-flare) (1)
yeast (5) 0.80225796511368
yeast (6) 0.80225796511368
allhyper (1) -1.8265829664008
auto (1) -1.1676131272911
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) 8.4406561531095
emotions (3) 0.66325320298242
enron (2)
calendarDOW (1) 0.094546284360486
car-evaluation (1)
clean1 (1) -1.0438770617229
clean2 (1) -1.0411772101075
corral (1)
pvy1 (1) -0.74850638358943
testpvy (1) -0.74850638358943
RAM_price (1) 0.35250684232887
synthetic_control (7) -1.1174765932424
synthetic_control (8) -1.1174765932424
porto-seguro (1) -0.46585876824315
synthetic_control (9) -1.1174765932424
synthetic_control (10) -1.1174765932424
synthetic_control (11) -1.1174765932424
Klaverjas2018 (1) -1.3606029803216
ames-housing (1) -0.4546318264553
hpc-job-scheduling (1) 8.1390239026977