Measure

Quartile1KurtosisOfNumericAtts

First quartile of kurtosis among attributes of the numeric type.

Value per dataset

cjs (1) -0.55103577000296
cpu_small (2) 3.8305071784914
AP_Omentum_Kidney (1) 2.8259958553529
AP_Ovary_Kidney (1) 3.5767625435033
OVA_Kidney (1) 5.1954956990546
OVA_Uterus (1) 5.1954956990546
OVA_Omentum (1) 5.1954956990547
AP_Ovary_Lung (1) 3.2994098011939
AP_Endometrium_Breast (1) 3.4353949648423
OVA_Breast (1) 5.1954956990546
AP_Uterus_Kidney (1) 2.6380372204936
OVA_Lung (1) 5.1954956990546
KDDCup09_upselling (1) 14.829687409915
chscase_funds (1) -1.2432010145553
fri_c4_100_100 (1) -1.2607441175905
fri_c0_250_25 (1) -1.2673652395367
sleuth_ex1714 (1) -0.84894150087163
KnuggetChase3 (1) 2.9036904470099
news20 (2) 2842.570955506
rcv1.binary (1) 6764.9500244842
chscase_health (1) -1.3212497247717
visualizing_ethanol (1) -1.4338328706639
rabe_166 (1) -1.3838845141362
visualizing_soil (1) -1.3138453714685
chscase_vine2 (1) -1.2303119202552
hutsof99_child_witness (1) -0.85604239987629
OVA_Colon (1) 5.1954956990546
AP_Breast_Ovary (1) 4.2355610748205
AP_Endometrium_Kidney (1) 2.4466180480247
BNG(spectf_test) (1) 1.2505533529395
BNG(adult) (1) 0.46825510475918
BNG(satimage) (1) -0.82725733890838
BNG(baseball) (1) 0.085029329171949
BNG(eucalyptus) (1) -0.73514560572281
BNG(wisconsin) (1) 0.043477238283907
BNG(cleveland) (1) -0.30306064981238
BNG(auto_price) (1) -0.33721593251488
BNG(cpu_act) (1) 4.3667324650024
Goteborg_52 (1) -1.1051065136531
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
hiva_agnostic (1) 5.8176491176331
cjs (2) -0.55103577000296
ESL (1) -0.15830809278096
ozone_level (1) 29.830511317867
bridges (3) -0.40137050120393
delta_elevators (2) -0.42225076762322
bank8FM (1) -1.2287684592491
cpu_act (2) 4.8911241724091
kdd_coil_4 (1) 1.2702564259088
fri_c4_250_100 (1) -1.2530183922285
fri_c0_1000_25 (1) -1.219959069629
yeast_gene (1) -0.75500627656965
rsctc2010_5 (1) -0.34545906052526
mouseType (1) 0.030313537173994
ovarianTumour (1) 0.18884783098631
hepatitisC (1) 0.18884783098631
variousCancers_final (1) 0.015986140620052
Acorns (1) -0.83212408372243
Cereals (1) 0.0034914642648765
rsctc2010_4 (1) 0.061859740980311
kc1-numeric (1) 2.4593945787532
lmpavw (1) 0.10511446192346
BNG(letter,5000,1) (1) -0.288694387158
BNG(letter,5000,10) (1) -0.28925167483137
BNG(letter,10000,1) (1) -0.29098662764613
BNG(letter,10000,10) (1) -0.29405029682299
BNG(audiology,1000,1) (1)
BNG(audiology,1000,10) (1)
BNG(audiology,5000,1) (1)
BNG(kr-vs-kp,1000,10) (1)
BNG(kr-vs-kp,5000,5) (1)
BNG(kr-vs-kp,5000,10) (1)
BNG(kr-vs-kp,10000,1) (1)
BNG(kr-vs-kp,10000,5) (1)
BNG(kr-vs-kp,10000,10) (1)
BNG(letter,1000,5) (1) -0.30305603022126
BNG(anneal,1000,1) (1) -1.021956289315
BNG(anneal,1000,5) (1) -1.4928394542073
BNG(anneal,1000,10) (1) -1.5361721430269
BNG(anneal,5000,1) (1) -0.94774740250612
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
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,10000,5) (1) -0.81306559562356
BNG(kr-vs-kp,1000,1) (1)
BNG(kr-vs-kp,1000,5) (1)
codrnaNorm (1) 1.1300959755348
lungcancer_shedden (1) 0.14591444375774
fri_c4_100_10 (1) -1.2227838461398
fri_c3_100_5 (1) -1.1283102145678
BNG(audiology,5000,5) (1)
BNG(audiology,5000,10) (1)
BNG(autos,1000,1) (1) -0.23872198623001
BNG(autos,1000,5) (1) -0.32224474409143
BNG(autos,1000,10) (1) -0.31327811879094
BNG(autos,5000,1) (1) -0.21521714624942
BNG(autos,5000,5) (1) -0.23855302971135
BNG(autos,10000,1) (1) -0.23035252938254
BNG(autos,10000,5) (1) -0.24644465061528
duke-breast-cancer (1) 0.70393803187883
fourclass (1) -1.6415832585347
german.numer (1) -1.1755003412916
BNG(autos,10000,10) (1) -0.23935819590145
BNG(lymph,1000,1) (1) -1.1976158251853
BNG(lymph,1000,10) (1) -1.268752788035
BNG(lymph,5000,1) (1) -1.4258673847621
BNG(lymph,5000,5) (1) -1.1950343256083
BNG(lymph,5000,10) (1) -1.2709718866946
BNG(lymph,10000,1) (1) -1.4872130841663
BNG(lymph,10000,10) (1) -1.1939584690672
a1a (1) 2.8579696085308
a2a (1) 2.8579696085308
a3a (1) 2.8579696085308
a4a (1) 2.8579696085308
a5a (1) 2.8579696085308
a6a (1) 2.8579696085307
a8a (1) 2.8579696085308
Kaggle_bike_sharing_demand_challange (1) -0.88230295546929
physionet_bradycardia (1) -0.86409525556128
physionet_tachycardia (1) -0.34436617079118
fri_c4_500_100 (1) -1.2323850431392
TAM_k_d (1) 0.78472065614024
Agrawal1 (1) -1.1978878566082
Stagger2 (1)
Stagger3 (1)
BNG(SPECT) (1)
BNG(SPECTF) (1) 1.2239751337058
BNG(mv) (1) -1.2012521738048
BNG(JapaneseVowels) (1) -0.62826285368905
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
letter-challenge-unlabeled.arff (1) 0.30913249585388
letter-challenge-labeled.arff (1) 0.30913249585388
Click_prediction_small (6) -1.0411662687992
nki70.arff (1) -0.041836977872212
BNG(pbc) (1) -0.037117869726131
BNG(autoHorse) (1) -0.52192506123367
BNG(autoPrice) (1) -0.35577322986018
BNG(2dplanes) (1) -1.5038272745952
BNG(elevators) (1) -0.089624614128438
BNG(echoMonths) (1) -0.16757732824288
BNG(stock) (1) -1.0950887453897
analcatdata_birthday (1) -0.68710290164929
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
analcatdata_supreme (1) -1.4228104817095
analcatdata_gsssexsurvey (1) 0.53763835510394
nflpass (1) -0.46614861181477
analcatdata_neavote (1) -1.8980866257798
analcatdata_election2000 (1) 5.0057196981806
pollen (1) -0.23453763894407
analcatdata_uktrainacc (1) 0.96490323011768
analcatdata_chlamydia (1) 18.110850169333
baseball-team (1) -0.65248450763871
wind_correlations (1) -0.021419081164806
analcatdata_hiroshima (1) 1.6557060545938
djdc0093 (1) -1.3502939237583
gina_prior (1) -1.1897036241354
BachChoralHarmony (1) -0.93213579352992
TurkiyeStudentEvaluation (1) -0.97109621974247
Physical_Activity_Recognition_Dataset_Using_Five_Smartphones (1) 0.8052860969692
COMET_MC (2) -1.2000004749575
BuzzinsocialmediaTomsHardware (1) 46.322787422698
Buzzinsocialmedia_Twitter (1) 310.08941451111
Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors (1) 0.9984031842619
ant (1) 0.44379006857836
ant (2) 0.43583197258623
COMET_MC (1) -1.2000004749575
data (1) -0.4030502208901
SpokenArabicDigit (1) -0.42647431127686
kdd_internet_usage (2)
Dexter (1) 253.7069908347
DBpedia(YAGO).arff (1) -1.1999999999967
NELL (1)
COMET_MC_SAMPLE (1) -1.2000208517008
COMET_MC_SAMPLE (2) -1.2030077460007
COMET_MC_SAMPLE (3) -1.2015039325904
COMET_MC_SAMPLE (4) -1.200041583933
SensorDataResource (1) 1.9059278095477
IBO (1) -1.2047171320691
CoverType5percent (1) -0.59853883020935
YAGO_Schema_KGE (1) 47.0718991533
yagoSchema.ttl (4) 23.841847138824
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075174 (1) 0.093599112990642
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) -0.95227486620266
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075282 (1) -1.0541123930054
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 0.60294943168132
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-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-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-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-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-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
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-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
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
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
parkinsons-telemonitoring (1) -0.48683904866292
higgs (1) -1.2016281646028
KEGGMetabolicReactionNetwork (1) 2.5167668664972
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) 0.66704923615725
CreditCardSubset (1) 1.5415365987695
InterferenceSeperation (1) -1.7561985466657
KDD98 (1) 2.4730677338104
sulfur (1) -0.70356671787085
debutanizer (1) -0.33696986921783
F2Pmodel3smoted (1) 0.22932733662138
F2Pmodel4smoted (1) 0.4768377383641
S1S1_1s50_31features_7tasks (1) 2.2441880466994
BNG(colic.ORIG,nominal,1000000) (1)
BNG(colic,nominal,1000000) (1)
BNG(optdigits) (1)
BNG(credit-a,nominal,1000000) (1)
BNG(page-blocks,nominal,295245) (1)
BNG(credit-g,nominal,1000000) (1)
BNG(pendigits,nominal,1000000) (1)
BNG(cylinder-bands,nominal,1000000) (1)
BNG(dermatology,nominal,1000000) (1)
BNG(segment) (1)
BNG(anneal.ORIG,nominal,1000000) (1)
BNG(kr-vs-kp) (1)
BNG(letter,nominal,1000000) (1)
BNG(autos,nominal,1000000) (1)
BNG(lymph,nominal,1000000) (1)
BNG(breast-cancer,nominal,1000000) (1)
BNG(mfeat-fourier,nominal,1000000) (1)
hayes-roth_test (1) -1.0781155177003
hayes-roth_train (1) -1.2197281499906
vowel (1) -0.55985691989667
BNG(mfeat-karhunen,nominal,1000000) (1)
BNG(bridges_version1,nominal,1000000) (1)
bolts (1) -1.8237908961593
cpu_act (1) 4.8911241724091
delta_elevators (1) -0.42225076762322
pbc (1) 0.56674452910243
sleep (1) -1.2172974538057
triazines (1) 0.21260505796022
autoPrice (1) -0.11741065324253
detroit (1) -1.3401945317886
echoMonths (1) 0.25943666004438
puma8NH (1) -1.2007438164674
hungarian (1) -0.85999463136867
fishcatch (1) -0.19358192622595
pharynx (1) 0.2780418059174
house_8L (1) 2.381661690547
garrat2 (1) 3.7110024516793
siddiqi (1) 0.28286919793274
lewis (1) -0.096444852027416
yprop_4_1 (1) 25.983762038356
tsutumi (1) 0.2736778605718
strupcz (1) 1.7250937306444
PHENETYL1 (1) -0.79546696608145
cristalli (1) 2.1463719279661
yokohoma2 (1) -0.50945190104783
heyl (1) 2.0370370384761
yokohoma1 (1) 0.059810713862802
krystek (1) -0.48968912659331
qsbralks (1) -0.50624142345442
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
la2s.wc (1) 304.36246006782
re1.wc (1) 154.99446871642
la1s.wc (1) 342.71193362974
wap.wc (1) 151.49542199117
ohscal.wc (1) 1006.1294308174
pah (1) 0.34141497906795
penning (1) 1.4046153932134
qsfrdhla (1) -1.1872757102941
qsprcmpx (1) -1.4539975905148
qsfsr2 (1) -0.97472942797663
mtp2 (1) 7.0364460005156
depreux (1) 7.4872369248219
pdgfr (1) -0.2304846551136
carbolenes (1) -0.54157089485611
selwood (1) 0.11555305879084
topo_2_1 (1) 3.0092366348094
svensson (1) -0.24834003482896
qsabr1 (1) -0.63730539996785
qsbr_rw1 (1) -1.6255243374588
BNG(vehicle,nominal,1000000) (1)
BNG(vowel,nominal,1000000) (1)
BNG(ionosphere) (1)
BNG(waveform-5000,nominal,1000000) (1)
BNG(zoo,nominal,1000000) (1)
BNG(bridges_version2,nominal,1000000) (1)
Hyperplane_10_1E-3 (1) -1.2009690105164
Hyperplane_10_1E-4 (1) -1.2009690105164
RandomRBF_0_0 (1) -0.079926109475736
RandomRBF_10_1E-3 (1) -0.071052253494137
RandomRBF_10_1E-4 (1) -0.068849852093926
RandomRBF_50_1E-4 (1) -0.067427311973087
BNG(sick,nominal,1000000) (1)
BNG(glass,nominal,137781) (1)
BNG(soybean) (1)
BNG(spambase) (1)
BNG(heart-c,nominal,1000000) (1)
BNG(heart-h,nominal,1000000) (1)
BNG(trains) (1)
BNG(heart-statlog,nominal,1000000) (1)
spect_test (1)
spect_train (1)
spectf_test (1) 2.4963127255367
spectf_train (1) 1.3363113250924
SEA(50) (1) -1.1999632908971
SEA(50000) (1) -1.1999737945892
monks-problems-1_test (1)
monks-problems-1_train (1)
monks-problems-2_test (1)
monks-problems-2_train (1)
monks-problems-3_test (1)
oh15.wc (1) 117.09767451044
internet_usage (1)
UNIX_user_data (1) 0.92889594453725
SyskillWebert-BioMedical (1)
SyskillWebert-Sheep (1)
SyskillWebert-Goats (1)
SyskillWebert-Bands (1)
tr31.wc (1) 167.11586366838
codrna (1) 1.1300960254515
chembl1075021test1 (1) 4.6893328445748
aids (1) 1.3448180326098
bridges (2)
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
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
20_newsgroups.drift (1)
BNG(mfeat-karhunen) (1) -0.40837482871199
BNG(pendigits) (1) -1.1879319049213
BNG(cylinder-bands) (1) -0.28427501782315
BNG(dermatology) (1) -0.80375041723703
BNG(sonar) (1) -0.59687402082635
BNG(glass) (1) 1.0896724939809
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
Ailerons (1) 4.6682509166355
BNG(waveform-5000) (1) -0.6031181287625
BNG(zoo) (1) -0.47943254842282
QSAR-TID-30007 (1) 12.99206884409
QSAR-TID-103900 (1) 10.861056751468
QSAR-TID-100871 (1) 24.544458942532
QSAR-TID-10541 (1) 17.224601159165
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QSAR-TID-10116 (1) 20.247109970877
QSAR-TID-12261 (1) 13.068787463589
QSAR-TID-100817 (1) 0.50137741046832
QSAR-TID-10019 (1) 1.9179067460317
QSAR-TID-100860 (1) 2.2259437426007
QSAR-TID-101533 (1) 0.59288537549407
QSAR-TID-102401 (1) 15.613036984353
QSAR-TID-12867 (1) 3.2029809271189
QSAR-TID-12169 (1) 6.3475993362388
QSAR-TID-100865 (1) -0.35913154533844
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QSAR-TID-100624 (1) 5.9668981767181
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QSAR-TID-10906 (1) 12.743570876536
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QSAR-TID-104385 (1) -1.5681818181818
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QSAR-TID-100427 (1) 1.7925045045045
QSAR-TID-100992 (1) 9.5482603815937
QSAR-TID-10501 (1) 7.6367198808003
QSAR-TID-12788 (1) 3.9737467762734
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QSAR-TID-20154 (1) 17.398596003377
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QSAR-TID-240 (1) 18.065174170453
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QSAR-TID-100590 (1) 11
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QSAR-TID-100067 (1) -1.65
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QSAR-TID-100063 (1) 7.8036774553837
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QSAR-TID-30035 (1) 13.127065964237
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QSAR-TID-102913 (1) 1.40625
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QSAR-TID-186 (1) -2.2405303030303
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QSAR-TID-101021 (1) 0.11018672318003
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QSAR-TID-104138 (1) 1.3017010866473
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QSAR-TID-102389 (1) -1.65
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QSAR-TID-100976 (1) 8.8757479002612
QSAR-TID-12591 (1) 1.40625
QSAR-TID-90 (1) 17.925638136467
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BNG(hepatitis,nominal,1000000) (1)
AccelerometerData (1)
BNG(kr-vs-kp,5000,1) (1)
a9a (1) 2.8447298010917
BNG(mfeat-zernike,nominal,1000000) (1)
MeanWhile1 (1) 2.4929797717761
BNG(audiology,1000,5) (1)
thompson (1) -0.1418123777478
KDDCup99 (1) 0.88629725940992
BNG(labor,nominal,1000000) (1)
BNG(vote) (1)
AP_Lung_Kidney (1) 2.8649045991648
BNG(sonar,nominal,1000000) (1)
BNG(autos,5000,10) (1) -0.24867901977563
BNG(hypothyroid,nominal,1000000) (1)
BNG(anneal,nominal,1000000) (1)
covertype (2) 5.2304442425152
monks-problems-3_train (1)
BNG(credit-g) (2) -1.2202817267998
BNG(spambase) (2)
BNG(optdigits) (2)
BNG(ionosphere) (2)
BNG(segment) (2)
BNG(anneal) (2) -0.47368886186695
genbase (2)
langLog (1) 0.77781472725217
reuters (2) 41.95830930487
scene (4) 0.25977447486139
yeast (4) 0.31118087703175
XYZ (1) -0.78919561024528
Glass (3) 2.3612922931938
emotions (3) 0.66325320298242
Model4scaledsmoted (1) -0.9028338174788
thyroid-allhypo (1) 7.0228318237807
thyroid-allrep (1) 7.0228318237807
thyroid-dis (1) 7.0228318237807
F2pmodel4scaledsmoted (1) -0.90271456915015
Australian (2) -1.9193787889705
Australian (3) -1.5441790194101
testpvy (1) -0.74850638358943
xerces-1.4 (1) 0.9428589161219
xerces-init (1) 2.2979844164114
Honey_bee_Seasonal_mortality (1) 31.781834628717
epilobee_mortality (1) 5.2221076459996
pathogen_survey_dataset (3) -0.80067093847791
dataSet_2 (1) -0.4030502208901
PC1 (2) 24.678497120671
PC2 (2) 82.127703569041
PC3 (2) 12.549619926156
PC5 (1) 69.367352726407
poi-1.5 (1) 0.23794409448647
poi-2.0 (1) 0.72472321992224
poi-2.5 (1) 2.0774551628067
poi-3.0 (1) 2.404556962994
prop-1 (1) -0.029033149589671
prop-2 (1) 1.1292599161855
log4j-1.0 (1) 2.1660584161324
log4j-1.1 (1) 1.3830575315697
log4j-1.2 (1) 2.4407033621728
lucene-2.0 (1) 0.3646976956285
lucene-2.2 (1) 0.31096150966898
lucene-2.4 (1) 0.42013261993872
MC1 (2) 70.568070544136
MC2 (2) 5.1970459919262
mozilla4 (2) -1.0923646115827
MW1 (2) 3.7849846557714
camel-1.0 (1) 0.54789255424642
camel-1.2 (1) 0.81976662933791
camel-1.4 (1) 0.47502224234196
camel-1.6 (1) 0.86956554977247
CM1 (1) 9.7716189335813
datatrieve (2) 2.1698705845466
e-learning (1) -0.49102137155217
ivy-1.1 (1) 2.5934626461405
ivy-1.4 (1) 2.6620823905988
ivy-20.0 (1) 3.5192359949328
ant-1.3 (1) 0.42735465515058
ant-1.4 (1) 0.44797360795319
ant-1.5 (1) 0.013976240365908
ant-1.6 (1) -0.087106042721097
ant-1.7 (1) 0.0083617946216403
ar1 (2) 2.9874746222658
ar3 (2) 4.8550451429448
ar4 (2) 4.1740842120958
ar6 (2) 1.9093550100896
arc (1) 1.5902259469839
test (2) -1.3863791432689
jedit-4.2 (1) 0.66096150581533
PC4 (2) 8.7926025257409
TestingDataSet (1) -0.4030502208901
seeds (2) -1.1044517852158
seeds (3) -1.0976974225421
seismic-bumps (2) 8.6398708039353
jedit-3.2 (1) 0.51535487792571
jedit-4.0 (1) 0.38343627258212
jedit-4.1 (1) 0.45007458638755
jedit-4.3 (1) 0.66096150581533
jedit-4.3 (2) 1.1063820165404
JM1 (2) 187.23238630724
KC1 (2) 12.275811446195
KC3 (2) 7.2747385914386
KC4 (1) 0.76782738021084
prop-3 (1) 0.49764780066721
prop-4 (1) 0.8483216637702
prop-5 (1) 1.9690403454922
prop-6 (1) 1.2443502802422
redaktor (1) 0.32187034800881
synapse-1.0 (1) 1.6119916045466
synapse-1.1 (1) 1.4029131690683
synapse-1.2 (1) 1.0673838440775
systemdata (1) 0.085559461952088
tomcat (1) 2.4180255983898
velocity-1.4 (1) 0.64487743719176
velocity-1.6 (1) 2.0551244373746
xalan-2.4 (1) -0.18550111021451
xalan-2.5 (1) -0.24811706505068
xalan-2.6 (1) 0.060306966667938
xalan-2.8 (1) 0.10496924844707
xerces-1.2 (1) 0.709666331709
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yeast (5) 0.80225796511368
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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)
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agaricus-lepiota (1) -1.2842741431546
analcatdata_fraud (1)
xd6 (1)
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (3)
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (3)
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calendarDOW (1) 0.094546284360486
car-evaluation (1)
clean1 (1) -1.0438770617229
clean2 (1) -1.0411772101075
corral (1)
tokyo1 (1) 0.13073808649472
parity5_plus_5 (1)
allbp (1) -1.8263457762749
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analcatdata_happiness (1) 0.37520284746389
cleve (1) -0.30206853578348
ecoli (3) -0.99389140690248
glass2 (1) 0.49388059000429
hypothyroid (3) -1.768761046336
led7 (1)
magic (1) -0.21475672018585
mofn-3-7-10 (1)
mux6 (1)
thyroid-new (1) 1.613709375775
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
pvy1 (1) -0.74850638358943
cleveland-nominal (1)
Devnagari_Script_Dataset (1) -1.5597479227827
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QuaLiKiz-4D (1) -0.58097481518577
CIFAR_10_small (1) -0.85305165208386
tamilnadu-electricity (2) -1.2001834231677
steel-plates-fault (2) -1.1451434601009
cpu (3) 7.0627671116553
Shuttle_7percent (1) 7.3389921659203
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smtp (1) 769.09651102809
Forest_Cover (1) 0.20779454223474
Banana (2) -1.0579752500594
Aloi (2) 31.509630561233
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lymph (3) -0.50409604824253
sponge (3) -1.5213314010588
GermanCredit-train (1) -1.1655458835164
GermanCredit-test (1) -1.3045264805123
Gisette-train (1) 0.92887173923021
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KR-vs-KP-train (1)
KR-vs-KP-test (1)
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subsample_delays_zurich_transport (2) -1.0955356141342
delays_zurich_transport (1) -1.0178866931042
ML2017-challenge-1 (1)
ML2017-challenge-2 (1) -1.0224478111409
ML2017-challenge-3 (1) -1.0297320016723
Abalone-train (1) -0.15783360060665
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Amazon-train (1) 10.762143826601
Semeion-train (1) -1.7767259815131
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Waveform-train (1) -0.48518851106872
Waveform-test (1) -0.47733977082997
WineQualityWhite-train (1) 0.9140985676264
WineQualityWhite-test (1) -0.26718585722457
Yeast-train (1) 0.81292122240597
Yeast-test (1) 1.183963744278
Sami_DataSet (1) -1.3863791432689
Sami_DataSetAgain (1) -1.3863791432689