Measure

MinKurtosisOfNumericAtts

Minimum kurtosis among attributes of the numeric type.

Value per dataset

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075282 (1) -1.7992854386491
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) -0.65012682931465
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) -0.79108279076317
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) -0.60741512664019
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) -0.95185001727355
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) -1.0226957565357
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) -0.45550069468043
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) -1.761611658238
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) -1.7071200998684
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) -0.87280529131215
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) -0.93143741808211
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) -0.28011327107226
SensorDataResource (1) -0.57758663711107
IBO (1) -1.2424284843553
CoverType5percent (1) -1.952154219531
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) -0.41493450964755
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) -0.50204985025232
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) -1.6867300163513
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) -1.9059731658992
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) -1.0851859532626
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) -1.3672604905861
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) -1.2920400110849
cjs (3) -1.1195398566566
COMET_MC_SAMPLE (1) -1.2000830483972
COMET_MC_SAMPLE (2) -1.2060153728211
COMET_MC_SAMPLE (3) -1.2060153728211
COMET_MC_SAMPLE (4) -1.2000830483972
YAGO_Schema_KGE (1) 47.0718991533
yagoSchema.ttl (4) 23.841847138824
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2714 (1) -0.65747812996133
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2717 (1) -1.1165532543932
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) -0.83726471449815
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2778 (1) -1.0519073839046
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) -0.65073127550331
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) -0.15993869978736
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) -1.9448954938256
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3023 (1) -2.0179738562091
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL256 (1) -0.4563537845346
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) -0.63243509236678
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 0.068916885274146
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) -2.1681578947368
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) -0.64889457911801
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) -0.02593218658271
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) -1.3968870699272
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) -0.043724371636155
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) -1.4453983838604
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4581 (1) -0.82629149369955
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4715 (1) -0.84974028579585
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) -1.2456629487807
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3626 (1) -0.85345805065002
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3473 (1) -0.8805759259315
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3686 (1) -1.6165098253916
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3703 (1) -1.8688616071429
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3721 (1) -0.58616378212292
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) -0.92069156983912
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3840 (1) -1.3002641326726
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3849 (1) -0.78195901561239
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL321 (1) -0.93865063871236
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) -0.43070130157746
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) -1.2274488507533
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2074 (1) -1.1491307155155
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2099 (1) -0.028921324067816
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2113 (1) -1.1491755791105
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2146296 (1) -0.24485363328987
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL210 (1) -0.56070523501245
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) -1.3696030913284
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) -0.96170395149407
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) -0.32011085288096
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) -1.2528898427786
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) -0.88980350887955
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) -0.42644791240941
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1795135 (1) -1.3184324034551
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908386 (1) -0.90429951786256
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1926495 (1) -1.9782912033198
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1952 (1) -1.0121397627422
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007622 (1) -0.88053770439231
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2006 (1) -1.8883223471491
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007629 (1) -0.51056299594255
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2055 (1) -0.54945698636534
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3225 (1) -2.0855938990842
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3241 (1) -1.0827502324853
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) -0.18440607639089
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3323 (1) -2.4444444444444
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3346 (1) -1.2580302154379
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3349 (1) -1.4654817520326
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3229 (1) -1.1530147126694
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3452 (1) -2.2628571428576
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) -1.4693396608045
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL301 (1) -0.57236721666322
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) -1.9162840446624
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4767 (1) -0.60859306390513
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4809 (1) -2.177089245213
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) -1.8810894385542
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) -0.8623155781005
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) -0.92784955418546
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) -1.0927268974114
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5044 (1) -0.86631366882072
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5047 (1) -0.89386243621922
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) -0.84765459412462
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3836 (1) -0.34474744460832
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3886 (1) -0.38889879488746
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3992 (1) -2.4444444444444
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) -1.9893048128342
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) -1.4851521559708
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) -2.1020710059172
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) -0.73619075966379
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) -0.83571428571429
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) -1.4342148832741
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) -2.2405303030303
WaveformDatabaseGenerator (1) -1.5088329584693
BachChoralHarmony (1) -0.93213579352992
TurkiyeStudentEvaluation (1) -1.4109132825183
Engine1 (1) -1.1877457294714
YearPredictionMSD (1) 0.56884783812832
Concrete_Data (1) -1.32874643468
Diabetes130US (1) -0.34737204444591
GeographicalOriginalofMusic (1) -0.26750891961778
OnlineNewsPopularity (1) -1.2787700753041
BuzzinsocialmediaTomsHardware (1) 1.6820204628979
Buzzinsocialmedia_Twitter (1) 6.2067460317528
MiceProtein (1) -0.73746296644909
KDD98 (1) -1.9999639104879
sulfur (1) -0.93968817604279
debutanizer (1) -0.79383671284212
F2Pmodel3smoted (1) -0.3658215172561
F2Pmodel4smoted (1) -1.631888535823
parkinsons-telemonitoring (1) -1.3875816658947
higgs (1) -1.9869307512101
KEGGMetabolicReactionNetwork (1) -1.0058924338793
Census-Income (1) -2.0000133652738
CreditCardSubset (1) -1.2886933394073
Physical_Activity_Recognition_Dataset_Using_Five_Smartphones (1) -0.88189010182094
data (1) -0.97238420384354
thoracic_surgery (1) -0.12185403920809
COMET_MC (1) -1.2000008304402
COMET_MC (2) -1.2000008304402
ant (1) -1.8526827091172
ant (2) -1.8161635041716
Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors (1) -0.18009264690596
InterferenceSeperation (1) -1.7561985466657
S1S1_1s50_31features_7tasks (1) -0.63725566810843
kdd_internet_usage (2)
Dexter (1) 0.036335279607973
Dorothea (1) -0.89912968674565
DBpedia(YAGO).arff (1) -1.1999999999967
Wikidata (1)
NELL (1)
covertype (3) -1.2202389701846
BNG(labor,nominal,1000000) (1)
BNG(vote) (1)
RandomRBF_50_1E-3 (1) -0.087402940671393
BNG(hypothyroid,nominal,1000000) (1)
BNG(page-blocks) (1) 0.29534933973754
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) -0.23900862209026
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) -1.4448300568722
spectf_test (1) 0.86985648155462
spectf_train (1) -0.83942753907666
mbagrade (1) -0.29766518636022
wisconsin (1) -0.81177151747398
vineyard (1) -0.74590035519805
bolts (1) -1.8237908961593
cpu_act (1) 0.90314126446658
SEA(50) (1) -1.1999632908971
SEA(50000) (1) -1.1999737945892
LED(50000) (1)
pokerhand (1) -0.65023651518602
pol (1) -0.99233447461787
triazines (1) -1.5719724523165
detroit (1) -1.6423435643267
gascons (1) -1.2
elusage (1) -1.2958937271385
BNG(waveform-5000) (1) -0.75522212414678
BNG(zoo) (1) -0.47943254842282
IMDB.drama (1) 0.28854590959405
20_newsgroups.drift (1)
BNG(pendigits) (1) -1.6946852489762
BNG(cylinder-bands) (1) -1.7265720670711
BNG(dermatology) (1) -0.80375041723703
BNG(sonar) (1) -1.1734085658146
BNG(heart-c) (1) -0.69576431352944
BNG(heart-statlog) (1) -1.9867753616093
BNG(vehicle) (1) -1.0267161169982
BNG(hepatitis) (1) -0.51099625261676
BNG(vowel) (1) -0.84241317553231
BNG(bridges_version1) (1) -0.41831619940172
BNG(mfeat-zernike) (1) -0.97826726050595
BNG(colic.ORIG) (1) -0.69532009213562
BNG(colic) (1) -0.70516285967981
BNG(credit-a) (1) 0.5691563826713
BNG(credit-g) (1) -1.3827357660504
covertype (2) -1.957727848407
satellite_image (1) -1.2441720904807
Ailerons (1) -0.61627530709573
coil2000 (1) -1.9614458864124
libras_move (1) -1.2108458187744
BNG(anneal) (1) -0.87719144377088
BNG(anneal.ORIG) (2) -0.86838282419206
BNG(labor) (2) -0.97119133386319
BNG(letter) (2) -0.52713687789391
BNG(autos) (1) -0.9895903204544
BNG(lymph) (1) -0.63852940236592
BNG(mfeat-fourier) (1) -1.154643629396
ozone_level (1) 29.830511317867
puma32H (1) -1.2266356524099
longley (1) -1.3990495396669
diabetes_numeric (1) -0.64765083413635
baskball (1) -1.2600922800544
2dplanes (1) -1.9998359849076
pyrim (1) -0.87855317047532
house_8L (1) -1.0959003161475
tr31.wc (1) -2.0042120009442
oh15.wc (1) 2.4891326379307
new3s.wc (1) -1.793751171726
la2s.wc (1) -1.6518126472991
oh5.wc (1) 4.9649829457764
re1.wc (1) 7.8343991932099
la1s.wc (1) -1.6159799104369
wap.wc (1) 0.92588137593095
ohscal.wc (1) 4.3667271887037
yokohoma2 (1) -2.297873785167
heyl (1) -2.2273171492073
yokohoma1 (1) -2.2793713646034
mtp (1) -0.35516447634017
qsbr_y2 (1) -0.51844838321476
krystek (1) -2.1255308994801
depreux (1) -1.0226391167772
pdgfr (1) -1.7907709905562
carbolenes (1) -1.8040034602858
garrat2 (1) -1.6768268386846
Phen (1) -2.1462897170938
siddiqi (1) -2.2114012043095
lewis (1) -2.7831562044526
thompson (1) -2.7647604703392
yprop_4_1 (1) -0.81312788565071
tsutumi (1) -2.2045771245969
strupcz (1) -1.5618287973524
PHENETYL1 (1) -2.2105263157895
cristalli (1) -1.5269311536849
codrna (1) -1.1664793940048
poker (1) -1.3620784913025
chembl1075021test1 (1) -2.1212121212121
mv (1) -1.2054637290423
aids (1) 1.3448180326098
bridges (4)
qsbralks (1) -1.685201894576
stevenson (1) -3.3332149367252
qsartox (1) -1.8151682587032
benzo32 (1) -0.55010637366628
uehling (1) -2.3878021401903
rosowky (1) -2.5497244115808
garrat (1) -1.9980180867096
doherty (1) -3.3185528928747
chang (1) -1.9397288979101
qsabr2 (1) -1.8084279502121
selwood (1) -1.8438021322694
topo_2_1 (1) -0.19900002563197
svensson (1) -2.3453308109544
pah (1) -1.5050328066178
penning (1) -2.3599282068275
qsfsr1 (1) -1.2640839312536
qsfrdhla (1) -1.7536873496931
qsprcmpx (1) -1.870182456928
qsfsr2 (1) -1.3835456902452
mtp2 (1) -0.37635812279996
analcatdata_birthday (1) -0.68710290164929
OVA_Colon (1) -0.854585811251
AP_Ovary_Uterus (1) -0.61892206415299
AP_Lung_Kidney (1) -0.88826907488881
AP_Endometrium_Uterus (1) -0.94183191603291
AP_Breast_Ovary (1) -0.20474364819807
OVA_Ovary (1) -0.854585811251
AP_Endometrium_Prostate (1) -1.7216757456474
AP_Prostate_Kidney (1) -1.382436477754
AP_Breast_Colon (1) -0.70009096438225
OVA_Prostate (1) -0.854585811251
analcatdata_michiganacc (1) -0.76672251158884
detroit (2) -1.6423435643267
kidney (1) -1.2013337633478
analcatdata_apnea3 (1) -1.2075015806393
analcatdata_apnea2 (1) -1.2067266277278
analcatdata_apnea1 (1) -1.2067266277278
bank32nh (1) -1.3085128593907
bodyfat (1) -0.41644091427062
cloud (2) -1.0188717834239
yeast_gene (1) -2.2666666666667
GCM (1) -1.6684484538478
KDDCup99_full (1) -1.9040574370451
analcatdata_draft (1) -1.2
cjs (1) -1.2000000000001
cpu (1) 5.902470633962
cpu_small (2) 0.90314126446658
fried (1) -1.2031909185156
meta (1) -1.5827551435208
kdd_coil_1 (1) 0.50919302846553
kdd_coil_2 (1) 0.50919302846553
auto93 (1) -0.85511567404807
kdd_coil_3 (1) 0.50919302846553
AP_Omentum_Kidney (1) -1.1257876362147
AP_Ovary_Kidney (1) -1.0946176643905
AP_Breast_Lung (1) -0.27739583878095
visualizing_ethanol (1) -1.4338328706639
chscase_geyser1 (1) -1.6933835161298
chscase_vine1 (1) -1.2
rabe_131 (1) -1.2
diggle_table_a1 (1) -1.2
chatfield_4 (1) -1.2
hutsof99_child_witness (1) -1.2943701533161
rabe_97 (1) -1.3040439144525
rabe_176 (1) -0.39009521279777
disclosure_z (1) -0.076195285710062
sleuth_ex1221 (1) -0.3615993022186
chscase_foot (1) -1.5254839214153
disclosure_x_noise (1) -0.06238625637872
chscase_health (1) -1.3212497247717
sleuth_case1202 (1) -1.1833115190722
sleuth_case1201 (1) -1.4283621575563
visualizing_hamster (1) -0.65907996381746
disclosure_x_bias (1) -0.10079118880396
rabe_148 (1) -2.0634920634921
BNG(spectf_test) (1) 0.51725258197531
BNG(adult) (1) 0.46825510475918
BNG(satimage) (1) -0.92317680800241
BNG(baseball) (1) -0.00029809253199575
BNG(wine) (1) -1.0899397141377
BNG(eucalyptus) (1) -1.9570521250741
BNG(wisconsin) (1) -0.80478845463503
BNG(cleveland) (1) -0.68582051771869
BNG(cpu_act) (1) -0.15942281666929
Goteborg_52 (1) -1.21621057978
BNG(solar-flare) (1)
BNG(pbc) (1) -0.7074187591947
BNG(lowbwt) (1) -0.47069112865742
BNG(cholesterol) (1) -0.68586319761945
BNG(autoPrice) (1) -0.99978122365351
BNG(pharynx) (1) -0.36926524054809
BNG(2dplanes) (1) -1.9999092255871
BNG(elevators) (1) -0.55667419183718
BNG(echoMonths) (1) -0.90736013567611
ESL (2) -0.19759993408571
ada_prior (1) -0.050776194164147
hiva_agnostic (1) -2.0008656837875
vowel (3) -0.76213951846429
cjs (2) -1.2000000000001
ESL (1) -0.19759993408571
SWD (1) -1.9711835401407
LEV (1) -1.236137813207
ERA (1) -1.3225749786895
BNG(anneal,1000,1) (1) -1.4509200871618
BNG(anneal,1000,5) (1) -1.4991586264701
BNG(anneal,1000,10) (1) -1.6629780538563
BNG(anneal,5000,5) (1) -1.4460162501452
BNG(anneal,5000,10) (1) -1.5082592729948
BNG(anneal,10000,1) (1) -1.2612380669582
BNG(anneal,10000,5) (1) -1.1163710199445
BNG(anneal,10000,10) (1) -1.4411247185272
BNG(anneal.ORIG,1000,1) (1) -1.3409874883489
eating (1) -1.8968914614214
Stagger1 (1)
BNG(anneal.ORIG,1000,5) (1) -1.5281756458597
BNG(anneal.ORIG,1000,10) (1) -1.7171393741264
BNG(anneal.ORIG,5000,1) (1) -1.0834656152708
BNG(anneal.ORIG,5000,5) (1) -1.3351790540121
BNG(anneal.ORIG,5000,10) (1) -1.4972485239049
BNG(anneal.ORIG,10000,1) (1) -1.1521815660833
BNG(anneal.ORIG,10000,5) (1) -0.87442403171587
BNG(anneal.ORIG,10000,10) (1) -1.3200422504904
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) -0.58089637050757
BNG(letter,1000,10) (1) -0.62370442173674
BNG(breastTumor) (1) -0.66432993635564
BNG(cpu_small) (1) -0.16313512675827
BNG(pwLinear) (1) -1.9764077581586
BNG(wine_quality) (1) -0.62186520199953
BNG(Australian) (1) -1.9975649070591
BNG(satellite_image) (1) -1.2443841749165
BNG(Ailerons) (1) -0.58919153299726
BNG(libras_move) (1) -1.2071084342999
BNG(vowel) (2) -0.84190754914855
BNG(puma32H) (1) -1.2243090047628
BNG(SPECTF) (1) 0.54192575439897
Click_prediction_small (1) -1.0791160227675
Click_prediction_small (2) -1.1134219049352
Click_prediction_small (4) -1.1192279875433
Stagger2 (1)
Stagger3 (1)
AirlinesCodrnaAdult (1) -1.6647843170666
codrnaNorm (1) -1.1664793375782
lungcancer_shedden (1) -0.45692798321241
letter-challenge-unlabeled.arff (1) -0.42117882211686
letter-challenge-labeled.arff (1) -0.42117882211686
Click_prediction_small (6) -1.1192284930363
AP_Endometrium_Omentum (1) -0.88623345126074
AP_Prostate_Ovary (1) -0.6341578038682
AP_Colon_Ovary (1) -1.0363016335962
AP_Endometrium_Lung (1) -1.3976207569191
AP_Prostate_Lung (1) -1.203001386415
AP_Omentum_Ovary (1) -0.54464223597367
AP_Endometrium_Kidney (1) -1.1986782624629
AP_Breast_Kidney (1) -0.9534722768633
AP_Endometrium_Ovary (1) -0.48905839373065
AP_Colon_Uterus (1) -1.2157932534357
fourclass_scale (1) -1.6415832585347
german.numer (2) -1.8501438979806
gisette (1) -2.0005716735744
heart (1) -2.0053576884312
ijcnn (1) -0.76118144880118
rcv1.binary (1) -1.990335257314
real-sim (1) -1.3042815073075
splice (3) -1.9954338509872
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) -1.3620774765015
poker-hand (2) -1.3620764947615
connect-4 (1) -1.9995299740197
aloi (1) -1.3048060261926
SensIT-Vehicle-Combined (1) -1.4375481890799
news20 (2) -1.2050341808559
poker (2) -1.3620784700945
creditcard (1) 0.1952997878326
w1a (1) -1.6132121705329
w2a (1) -1.613212170533
w3a (1) -1.6132121705329
w4a (1) -1.6132121705329
w5a (1) -1.6132121705329
w6a (1) -1.6132121705329
w7a (1) -1.6132121705328
w8a (1) -1.6164054367551
svmguide3 (1) -1.8363024970875
arsenic-male-bladder (1) -1.2144065716906
iq_brain_size (1) -1.1038908933308
analcatdata_vehicle (1) 0.11827450378097
papir_2 (1) -1.5397789845067
dj30-1985-2003 (1) -1.1804253762161
hip (1) -0.14269769006322
analcatdata_impeach (1) -1.6850447380302
analcatdata_whale (1) -1.2
wind (1) -1.2079512755713
analcatdata_supreme (1) -1.9947336544066
tecator (1) -0.47100813789766
analcatdata_gsssexsurvey (1) 0.52799477435461
space_ga (1) -0.63352993812821
nflpass (1) -0.51862861302322
places (1) -0.11662785990163
sleep (2) -1.3291245751525
delta_elevators (2) -0.5464315381909
bank8FM (1) -1.3787836157497
cpu_act (2) 0.90314126446658
house_16H (1) -1.0959003161475
kdd_coil_4 (1) 0.50919302846553
kdd_coil_5 (1) 0.50919302846553
kdd_coil_6 (1) 0.50919302846553
kdd_coil_7 (1) 0.50919302846553
fri_c0_250_5 (1) -1.2490461383833
fri_c4_250_100 (1) -1.398767138401
analcatdata_ncaa (1) -0.58983050847458
pm10 (1) -1.7193748169944
analcatdata_neavote (1) -1.8980866257798
pbc (2) -1.8213677692238
analcatdata_seropositive (1) -1.2011454932904
analcatdata_election2000 (1) 3.3077984534823
humandevel (1) -1.2590002217936
pollen (1) -0.30878823241238
analcatdata_olympic2000 (1) -0.82908913811783
boston (1) -1.2335396011495
analcatdata_uktrainacc (1) -1.1284289391619
arsenic-female-bladder (1) -1.2144065716906
cps_85_wages (1) -0.58079326230721
analcatdata_chlamydia (1) 18.110850169333
arsenic-male-lung (1) -1.2144065716906
houses (1) -1.3301523662289
analcatdata_galapagos (1) 0.91692874077684
mu284 (1) -1.2258879731348
plasma_retinol (1) -0.87155520452177
balloon (1) 16.966793966665
arsenic-female-lung (1) -1.2144065716906
baseball-team (1) -0.68714163487871
pbcseq (1) -1.7824313589098
analcatdata_gviolence (1) -0.62607970059488
vinnie (1) -1.3003409421732
analcatdata_wildcat (1) -0.53713273157239
socmob (1) 25.097171938704
pollution (1) -0.75132312548662
boston_corrected (1) -1.3182194826025
transplant (1) -1.2
lmpavw (1) 0.10511446192346
sensory (1) 0.065675565393938
no2 (1) -1.6858101774293
strikes (1) -1.1960279944948
quake (2) -0.81530193503366
fri_c3_500_25 (1) -1.3082632063497
fri_c1_500_25 (1) -1.2650769640661
fri_c1_1000_50 (1) -1.2762884187902
fri_c4_500_25 (1) -1.3048956159052
fri_c3_100_10 (1) -1.4552186218066
fri_c3_1000_25 (1) -1.2835199667459
fri_c3_100_50 (1) -1.3862286010364
fri_c4_1000_100 (1) -1.2783487487311
fri_c2_1000_25 (1) -1.2563471498616
fri_c0_1000_50 (1) -1.2753003052241
analcatdata_negotiation (1) -0.45983897232925
newton_hema (1) -0.92459083931558
wind_correlations (1) -0.74791026802531
analcatdata_hiroshima (1) 1.6557060545938
djdc0093 (1) -1.3502939237583
analcatdata_runshoes (1) -0.91045675582972
analcatdata_vineyard (1) -1.2144284461673
fri_c1_100_10 (1) -1.4413820875377
fri_c4_1000_25 (1) -1.2648195104946
fri_c1_1000_10 (1) -1.2770911828736
fri_c2_100_5 (1) -1.081660310825
fri_c0_1000_10 (1) -1.2433654376458
fri_c2_250_5 (1) -1.316476549527
fri_c2_500_5 (1) -1.2625354249449
fri_c0_1000_25 (1) -1.2572240839644
fri_c2_1000_5 (1) -1.2143142371446
fri_c0_100_50 (1) -1.4263307575125
rsctc2010_5 (1) -1.8982739892826
rsctc2010_6 (1) -1.4281803438985
mouseType (1) -1.6890287765446
BurkittLymphoma (1) -1.7294079394661
anthracyclineTaxaneChemotherapy (1) -1.80842805082
ovarianTumour (1) -1.586052060212
hepatitisC (1) -1.586052060212
variousCancers_final (1) -1.8231440166143
USCrime (1) -1.5850439882698
MercuryinBass (1) -0.5149449394161
qsabr1 (1) -1.8084279502121
qsbr_rw1 (1) -2.1644611835343
prnn_crabs (1) -1.2009233042548
hutsof99_logis (1) -0.85657489276321
rabe_166 (1) -1.3838845141362
rmftsa_ctoarrivals (1) -1.2050292556383
sleuth_ex1605 (1) -0.37075363117451
visualizing_soil (1) -1.3302897463506
chscase_vine2 (1) -1.2303119202552
visualizing_galaxy (1) -0.92904330491898
chscase_census4 (1) -0.34678792491255
chscase_census3 (1) -0.33827979477855
chscase_census2 (1) 0.22678912420904
chscase_demand (1) -1.2215753785177
visualizing_slope (1) -1.5160839675979
disclosure_x_tampered (1) -0.069728931190721
visualizing_environmental (1) -0.91641615515302
chscase_funds (1) -1.2432010145553
fri_c0_100_25 (1) -1.3028093855059
fri_c4_100_100 (1) -1.4063052306821
fri_c0_250_25 (1) -1.3883588784607
fri_c0_500_10 (1) -1.2754259378563
fri_c2_100_25 (1) -1.409462420787
fri_c1_100_5 (1) -1.278300426092
fri_c2_250_10 (1) -1.2947320167454
fri_c3_250_25 (1) -1.3355558026499
sleuth_ex1714 (1) -1.0814955553406
rabe_265 (1) -0.69617551753556
fri_c1_250_5 (1) -1.2463165102679
fri_c3_250_10 (1) -1.2340424559693
fri_c0_250_50 (1) -1.3263505005688
fri_c4_500_10 (1) -1.2146063814721
fri_c2_250_25 (1) -1.335930407873
fri_c2_1000_10 (1) -1.2170767385648
fri_c4_1000_50 (1) -1.2829079547755
fri_c3_1000_10 (1) -1.2568898194143
fri_c0_1000_5 (1) -1.2255895057262
fri_c4_500_100 (1) -1.3330007739787
fri_c1_500_5 (1) -1.1961159274537
fri_c3_250_50 (1) -1.3143243017056
fri_c0_500_25 (1) -1.3039901029862
fri_c2_100_10 (1) -1.3569116235388
fri_c0_250_10 (1) -1.2642171132325
fri_c1_100_50 (1) -1.44512277052
fri_c1_500_50 (1) -1.3384923344676
fri_c2_250_50 (1) -1.3301652155735
fri_c3_100_25 (1) -1.375259271362
fri_c4_100_10 (1) -1.3686696354135
fri_c1_500_10 (1) -1.2561470496751
fri_c4_100_50 (1) -1.3653160296525
fri_c2_500_25 (1) -1.2803524585397
fri_c4_250_25 (1) -1.3179646852298
fri_c3_500_50 (1) -1.2854748996801
fri_c3_500_10 (1) -1.3041438636069
fri_c1_250_10 (1) -1.3080915230952
fri_c1_250_50 (1) -1.33414462034
fri_c0_500_5 (1) -1.3079491872134
fri_c0_500_50 (1) -1.318201537589
fri_c0_100_10 (1) -1.2887529305138
fri_c2_1000_50 (1) -1.2853053388655
fri_c4_1000_10 (1) -1.2522327833832
fri_c0_100_5 (1) -1.3282931476129
fri_c4_100_25 (1) -1.3959794686009
fri_c2_500_50 (1) -1.3001476274594
fri_c2_500_10 (1) -1.2705783053189
fri_c3_1000_5 (1) -1.1996531749727
fri_c1_100_25 (1) -1.2581761797595
fri_c2_100_50 (1) -1.4453468713853
sleuth_case1102 (1) -1.5639196376919
rabe_266 (1) -1.2251098556183
chscase_census6 (1) 1.3481612513317
sleuth_case2002 (1) -0.49412670708397
rmftsa_ladata (1) -0.45693573119494
witmer_census_1980 (1) -0.66336847992227
chscase_census5 (1) -0.42774490095309
fri_c3_100_5 (1) -1.1945504694735
fri_c1_1000_5 (1) -1.2023174812383
fri_c3_250_5 (1) -1.2102524316036
fri_c1_250_25 (1) -1.3437020468397
fri_c4_250_10 (1) -1.2908832211759
fri_c4_500_50 (1) -1.2817919187036
fri_c3_500_5 (1) -1.2175619114591
fri_c3_1000_50 (1) -1.2798546678961
fri_c4_250_50 (1) -1.363275930626
fri_c1_1000_25 (1) -1.2563751104981
KDDCup09_churn (1) -1.6749586509971
KDDCup99 (1) -1.9151390378034
KDDCup09_upselling (1) -1.6749586509971
nasa_numeric (1) -1.0436312499559
rsctc2010_2 (1) -1.1584274518951
rsctc2010_3 (1) -1.5569996707102
rsctc2010_4 (1) -1.8985576461899
gina_prior (1) -1.8266918531361
cocomo_numeric (1) 3.2916122242425
humans_numeric (1) 2.2713632068939
SMSA (1) -0.7788571862513
Brainsize (1) -1.8169666698198
Acorns (1) -0.83212408372243
Cereals (1) -1.4392012859468
FacultySalaries (1) -0.46829883846219
ICU (1) -2.0001066292361
pubexpendat (1) -2.0888888888889
EgyptianSkulls (1) -1.6536481164602
qqdefects_numeric (1) 1.6575534744669
AP_Endometrium_Breast (1) -0.35394587638501
AP_Omentum_Uterus (1) -0.78658650969755
AP_Omentum_Prostate (1) -1.6396420964614
AP_Colon_Lung (1) -1.2113631870426
AP_Breast_Omentum (1) -0.27609091241318
OVA_Breast (1) -0.854585811251
AP_Uterus_Kidney (1) -1.2329827235797
BNG(letter,5000,5) (1) -0.58079632462124
BNG(letter,5000,10) (1) -0.61900953216329
BNG(letter,10000,5) (1) -0.57276435105929
BNG(letter,10000,10) (1) -0.58120188621711
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) -0.97956575119881
BNG(autos,1000,10) (1) -0.97960319430789
BNG(autos,5000,1) (1) -0.97793995079978
BNG(autos,5000,5) (1) -0.97951448289803
BNG(autos,5000,10) (1) -0.98048193447974
BNG(autos,10000,1) (1) -0.98011057519898
BNG(autos,10000,5) (1) -0.97920898913092
appendicitis (1) -0.064662454053661
arcene (1) -1.743918898132
colon-cancer (1) -1.6681009244992
svmguide1 (1) -1.9333496458678
duke-breast-cancer (1) -2.038994537966
fourclass (1) -1.6415832585347
iris-test (1) -0.55206390702621
AccelerometerData (1)
BNG(autos,10000,10) (1) -0.97949555952973
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) -1.9829784152255
a2a (1) -1.9829784152255
a3a (1) -1.9829784152255
a5a (1) -1.9829784152256
a6a (1) -1.9829784152255
a7a (1) -1.9829784152256
a9a (1) -1.9824440699419
lungcancer_GSE31210 (1) -0.48936240122437
MyIris (1) -1.4019208006454
Kaggle_bike_sharing_demand_challange (1) -0.91453026376307
physionet_asystole (1) -1.0918899611361
physionet_tachycardia (1) -0.75618429855002
contact-lenses (1)
KungChi3 (1) -0.75155254561835
KnuggetChase3 (1) -0.57346229435122
MeanWhile1 (1) -0.25770889130497
MindCave2 (1) -0.5954475874952
AP_Prostate_Uterus (1) -1.3419554523177
AP_Omentum_Lung (1) -1.27197745246
AP_Endometrium_Colon (1) -1.0966352022488
OVA_Kidney (1) -0.85458581125099
AP_Colon_Prostate (1) -1.1474958776004
AP_Colon_Kidney (1) -0.92622531160121
OVA_Uterus (1) -0.85458581125099
OVA_Omentum (1) -0.85458581125099
robot-failures-lp1 (1) 2.3869244849037
robot-failures-lp2 (1) -0.80478426582215
robot-failures-lp3 (1) -0.80478426582215
ldpa (1) -1.2000349593011
gas-drift (1) -0.074028770556625
gas-drift-different-concentrations (1) -0.074028770556625
skin-segmentation (1) -0.91547116072892
spoken-arabic-digit (1) -1.9998911455615
Model4scaledsmoted (1) -1.676427717698
thyroid-ann (1) -1.2652327090743
wine-quality-white (1) -0.69842533034558
thyroid-allbp (1) 4.6216575910427
thyroid-allhyper (1) 4.6216575910427
thyroid-allhypo (1) 4.6216575910427
thyroid-allrep (1) 4.6216575910427
thyroid-dis (1) 4.6216575910427
F2pmodel4scaledsmoted (1) -1.676427717698
treepipit (1) -1.3578164864562
Australian (2) -1.9971378336902
Australian (3) -1.9971378336902
andro (1) -1.8449568784284
atp1d (1) -1.4610478145481
atp7d (1) -1.5412708938526
edm (1) -1.5815884623602
enb (1) -2.0052287581699
jura (1) -1.8156340152538
osales (1) -2.0062004465079
rf1 (1) 0.24512036361651
rf2 (1) 0.24512036361651
scm1d (1) -1.2761452718166
scm20d (1) -1.2953170925835
scpf (1) -1.8078993706245
sf1 (1) 9.6357275861297
sf2 (1) 19.616516904622
slump (1) -1.6886924760071
wq (1) -0.83521562917031
youtube (1) -0.58291961885764
voldata15 (1) -0.75740187667608
SampleFile (1)
Fitnessapp (1) -1.2
winequality-white-3-9_vs_5 (1) -0.78834691217679
poker-8-9_vs_6 (1) -1.388581935644
winequality-red-3_vs_5 (1) -0.51993793517201
abalone-20_vs_8-9-10 (1) -0.19408580687594
poker-8-9_vs_5 (1) -1.3232922690515
poker-8_vs_6 (1) -1.3873760548283
abalone19 (1) -0.04172926106111
Wiki (1) -1.1845936343483
iris (6) -1.4021034155218
ecoli4 (1) -1.0447542888959
yeast-1_vs_7 (1) 0.3536874830948
glass4 (1) -0.40990538361143
page-blocks-1-3_vs_4 (1) -1.310207966181
abalone9-18 (1) -0.074101338237672
dermatology-6 (1) -1.4060739106446
zoo-3 (1)
glass-0-1-6_vs_5 (1) -0.16654628984441
yeast-1-4-5-8_vs_7 (1) -0.56806402525766
glass5 (1) -0.40990538361143
winequality-white-9_vs_4 (1) -0.63578017896478
yeast5 (1) 0.45905999006732
winequality-red-8_vs_6 (1) -0.98674279873546
yeast6 (1) 0.45905999006732
ecoli-0-1-3-7_vs_2-6 (1) -0.90604065069068
abalone-17_vs_7-8-9-10 (1) -0.49701667771926
abalone-21_vs_8 (1) -0.070998624516812
winequality-white-3_vs_7 (1) -0.5580725526233
winequality-red-8_vs_6-7 (1) -0.98265143446687
abalone-19_vs_10-11-12-13 (1) 0.03080171412234
yeast-2_vs_8 (1) 0.083271338192926
lymphography-normal-fibrosis (1) -0.50409604824253
flare-F (1)
car-good (1)
car-vgood (1)
yeast4 (1) 0.45905999006732
winequality-red-4 (1) -0.78899751536338
poker-9_vs_7 (1) -1.42161986832
yeast-1-2-8-9_vs_7 (1) 0.4506546895435
abalone-3_vs_11 (1) -0.23404723421467
ecoli-0-1-4-7_vs_2-3-5-6 (1) -0.92495455202216
led7digit-0-2-4-5-6-7-8-9_vs_1 (1) -1.9547532029119
ecoli-0-1_vs_5 (1) -0.85666676830686
glass-0-6_vs_5 (1) -0.89419931279835
glass-0-1-4-6_vs_2 (1) -0.1749786987378
ecoli-0-1-4-7_vs_5-6 (1) -0.91587392734177
ecoli-0-1-4-6_vs_5 (1) -1.1307923483074
ecoli-0-6-7_vs_5 (1) -0.96331867990532
vowel0 (1) -1.9860400073741
glass-0-1-6_vs_2 (1) 0.60943449586711
CPMP-2015-classification (1) -2.006920996435
MIP-2016-regression (1) -1.9622229489399
MIP-2016-classification (1) -1.9763753094823
ASP-POTASSCO-regression (1) -1.9845433955853
ASP-POTASSCO-classification (1) -1.9873399151019
testdata (1) 2056.5210594418
AP_Lung_Uterus (1) -1.296150457685
BNG(kr-vs-kp,1000,1) (1)
rainfall_bangladesh (3) -1.1261372723532
CPMP-2015-runtime-classification (1) -2.006920996435
MIP-2016-PAR10-classification (1) -1.9763753094823
BNG(auto_price) (1) -0.997657962801
Sick_numeric (2) -1.8482544283203
ilpd-numeric (2) -0.56694742557525
ilpd-numeric (1) -1.1067347117058
BNG(lymph,1000,1) (1) -1.1976158251853
BNG(kr-vs-kp,1000,10) (1)
BNG(spect_test) (1)
Satellite (1) -1.0003040613443
dentaire (1) 0.91384565440871
iris_test_upload (1) -1.4019208006454
Elegibilidade (1)
kc1-numeric (1) -0.81752674239178
cnae-9 (2) -1.5616319022245
isolet (2) -1.3822906734436
USPS (3) -1.5079340338023
artificial-characters (1) -0.54774871713231
LED-display-domain-7digit (1) -1.8727595404529
seattlecrime6 (1) -0.7968204874644
us_crime (1) -1.4486570948496
Click_prediction_small (3) -1.1166228233787
crimecommunitynums (1) -1.4486570948496
crimecommunitynums2 (1) -1.3135525614753
sleep (1) -1.3291245751525
rsctc2010_1 (1) -1.1584274518951
BNG(anneal,5000,1) (1) -1.1811992641525
BNG(letter,10000,1) (1) -0.53639834034679
BNG(kr-vs-kp,5000,5) (1)
physionet_bradycardia (1) -1.2834802811078
a8a (1) -1.9829784152256
nki70.arff (1) -1.5105633802817
german.numer (1) -1.8501438979806
BNG(lymph,10000,10) (1) -1.1939584690672
BNG(letter,5000,1) (1) -0.56153279511123
BNG(SPECT) (1)
BNG(stock) (1) -1.3098954871236
AP_Breast_Uterus (1) -0.38715692500496
BNG(autos,1000,5) (1) -0.98079232822185
BNG(lymph,5000,10) (1) -1.2709718866946
BNG(solar-flare) (1)
yeast (5) 0.48923196961228
yeast (6) 0.48923196961228
allhyper (1) -1.8484537436237
auto (1) -1.3276877201728
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) -0.54564526297067
emotions (3) -0.53354435434177
enron (2)
calendarDOW (1) -1.1823380814824
car-evaluation (1)
clean1 (1) -1.5884815360935
clean2 (1) -1.6228664799261
corral (1)
pvy1 (1) -1.1125774302509
testpvy (1) -1.1125774302509
RAM_price (1) 0.35250684232887
synthetic_control (7) -1.2148844907037
synthetic_control (8) -1.2148844907037
porto-seguro (1) -1.2246158819512
synthetic_control (9) -1.2148844907037
synthetic_control (10) -1.2148844907037
synthetic_control (11) -1.2148844907037
Klaverjas2018 (1) -1.3627323472371
ames-housing (1) -1.5048182977486
hpc-job-scheduling (1) 0.74879811204677