Measure

MaxKurtosisOfNumericAtts

Maximum kurtosis among attributes of the numeric type.

Value per dataset

cjs (1) 88.427608054678
cpu_small (2) 313.74925889072
OVA_Kidney (1) 1538.9975066062
OVA_Omentum (1) 1538.9975066061
AP_Ovary_Lung (1) 323.51480052415
OVA_Lung (1) 1538.9975066062
KDDCup09_upselling (1) 26707.599128622
chscase_funds (1) 1.0384091192766
fri_c4_100_100 (1) 2.5045275056765
fri_c0_250_25 (1) -0.12889106282116
sleuth_ex1714 (1) 3.9610950261416
KnuggetChase3 (1) 62.025027764602
news20 (2) 19928
rcv1.binary (1) 697641.00000008
chscase_health (1) 0.52292658373336
visualizing_ethanol (1) -1.1997492460417
rabe_166 (1) -1.0414995863436
visualizing_soil (1) -0.0072881595445371
chscase_vine2 (1) 0.17172194387342
hutsof99_child_witness (1) 0.092785992237033
OVA_Colon (1) 1538.9975066062
AP_Breast_Ovary (1) 541.60507831309
AP_Endometrium_Kidney (1) 320.77207494314
BNG(spectf_test) (1) 5.0430168182124
BNG(adult) (1) 1.0702765485551
BNG(satimage) (1) 1.3110453768257
BNG(baseball) (1) 3.8677417718659
BNG(eucalyptus) (1) 111.65053074194
BNG(wisconsin) (1) 4.4843297186747
BNG(cleveland) (1) 0.78990633325483
BNG(auto_price) (1) 7.6364627093777
BNG(cpu_act) (1) 38.722439067014
Goteborg_52 (1) 33.76761932307
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
hiva_agnostic (1) 524.24793350742
cjs (2) 88.427608054678
ESL (1) 0.55211922787385
ozone_level (1) 29.830511317867
bridges (3) 3.5770284965902
delta_elevators (2) 3.8336185430901
bank8FM (1) 6.8695373873706
cpu_act (2) 618.07540299909
kdd_coil_4 (1) 32.270483213777
fri_c4_250_100 (1) 2.5481176177214
fri_c0_1000_25 (1) -0.5478029860021
yeast_gene (1) 17
rsctc2010_5 (1) 70.01966111376
mouseType (1) 152.28626968729
ovarianTumour (1) 239.79762525924
hepatitisC (1) 239.79762525924
variousCancers_final (1) 112.61428870306
Acorns (1) 5.6752744565053
Cereals (1) 8.6474916766946
rsctc2010_4 (1) 107.12773531271
kc1-numeric (1) 69.943762531176
lmpavw (1) 0.10511446192346
BNG(letter,5000,1) (1) 1.0348284587284
BNG(letter,5000,10) (1) 1.059656600074
BNG(letter,10000,1) (1) 1.0139494484632
BNG(letter,10000,10) (1) 1.0310883939351
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) 1.1544096687464
BNG(anneal,1000,1) (1) 1.0402103529377
BNG(anneal,1000,5) (1) 1.0298088128585
BNG(anneal,1000,10) (1) 1.0258542665402
BNG(anneal,5000,1) (1) 4.4453013590221
BNG(anneal,5000,5) (1) 1.0428966410428
BNG(anneal,5000,10) (1) 1.0510124519442
BNG(anneal,10000,1) (1) 5.0775457382656
BNG(anneal,10000,5) (1) 1.2131713202271
BNG(anneal,10000,10) (1) 1.0444165456665
BNG(anneal.ORIG,1000,1) (1) 1.1710408543604
BNG(anneal.ORIG,1000,5) (1) 1.0559760932737
BNG(anneal.ORIG,1000,10) (1) 1.0204719325501
BNG(anneal.ORIG,5000,1) (1) 5.3829557386552
BNG(anneal.ORIG,5000,5) (1) 1.1719987761749
BNG(anneal.ORIG,10000,5) (1) 1.6450086714841
BNG(kr-vs-kp,1000,1) (1)
BNG(kr-vs-kp,1000,5) (1)
codrnaNorm (1) 4.2971516363174
lungcancer_shedden (1) 25.566474902565
fri_c4_100_10 (1) 0.73040035815736
fri_c3_100_5 (1) 1.0142392249142
BNG(audiology,5000,5) (1)
BNG(audiology,5000,10) (1)
BNG(autos,1000,1) (1) 7.4427244834834
BNG(autos,1000,5) (1) 7.393141380139
BNG(autos,1000,10) (1) 7.3823042847474
BNG(autos,5000,1) (1) 7.5294610579526
BNG(autos,5000,5) (1) 7.442373007961
BNG(autos,10000,1) (1) 7.5942637314645
BNG(autos,10000,5) (1) 7.4649119052173
duke-breast-cancer (1) 58.075431251724
fourclass (1) -1.105059032748
german.numer (1) 40.686180651202
BNG(autos,10000,10) (1) 7.4452868717663
BNG(lymph,1000,1) (1) -0.63578734178691
BNG(lymph,1000,10) (1) -0.56363049338895
BNG(lymph,5000,1) (1) -0.48971413580201
BNG(lymph,5000,5) (1) -0.6313679251529
BNG(lymph,5000,10) (1) -0.77542065895395
BNG(lymph,10000,1) (1) -0.36614004773941
BNG(lymph,10000,10) (1) -0.61952371843631
a1a (1) 32561
a2a (1) 32561
a3a (1) 32561
a4a (1) 32561
a5a (1) 32561
a6a (1) 32561
a8a (1) 32560.999999999
physionet_bradycardia (1) 6.7898391151961
physionet_tachycardia (1) 9.2635864242382
fri_c4_500_100 (1) 1.6851415546776
TAM_k_d (1) 259
Agrawal1 (1) 13.33271402421
Stagger2 (1)
Stagger3 (1)
BNG(SPECT) (1)
BNG(SPECTF) (1) 4.874232705419
BNG(mv) (1) -0.54862468541423
BNG(JapaneseVowels) (1) 2.0526639153265
BNG(breastTumor) (1) -0.1868727429007
BNG(cpu_small) (1) 13.62076550334
BNG(pwLinear) (1) -0.4582836099588
BNG(wine_quality) (1) 5.9382447764734
BNG(Australian) (1) 16.558455938725
BNG(satellite_image) (1) 1.3002015214531
BNG(Ailerons) (1) 2342.4310793802
BNG(libras_move) (1) -0.24118582576953
BNG(vowel) (2) -0.19637585437924
BNG(puma32H) (1) -0.14412786843488
letter-challenge-unlabeled.arff (1) 2.0752450461574
letter-challenge-labeled.arff (1) 2.0752450461574
Click_prediction_small (6) 59561.8410937
nki70.arff (1) 21.108175176872
BNG(pbc) (1) 8.531449869722
BNG(autoHorse) (1) 7.6656404733611
BNG(autoPrice) (1) 7.6398144897151
BNG(2dplanes) (1) -0.68106371188003
BNG(elevators) (1) 3351.5408803536
BNG(echoMonths) (1) 0.9447480409428
BNG(stock) (1) -0.10387581537922
analcatdata_birthday (1) -0.68710290164929
analcatdata_vehicle (1) 0.11827450378097
papir_2 (1) 4.5662324004895
dj30-1985-2003 (1) 92.655633885121
hip (1) 2.7834731182001
analcatdata_impeach (1) -0.19404467307562
analcatdata_whale (1) 1.8500645141784
analcatdata_supreme (1) 77.672842187215
analcatdata_gsssexsurvey (1) 8.8869234448131
nflpass (1) 4.8909172793326
analcatdata_neavote (1) 18.388121734389
analcatdata_election2000 (1) 66.977610073588
pollen (1) 0.19518735117786
analcatdata_uktrainacc (1) 17.36159607513
analcatdata_chlamydia (1) 18.110850169333
baseball-team (1) 0.57525202174775
wind_correlations (1) 12.99407403209
analcatdata_hiroshima (1) 8.0082514355209
djdc0093 (1) 5.7218780573483
BachChoralHarmony (1) 0.84313527225979
TurkiyeStudentEvaluation (1) 4.7892242887662
Physical_Activity_Recognition_Dataset_Using_Five_Smartphones (1) 13.959349392834
COMET_MC (2) 505.35887363618
BuzzinsocialmediaTomsHardware (1) 162.89902773965
Buzzinsocialmedia_Twitter (1) 12453.481780881
Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors (1) 7.5724951525296
ant (1) 91.708338130608
ant (2) 111.64143063003
COMET_MC (1) 505.35887363618
data (1) 13.215477213879
SpokenArabicDigit (1) 2.0897462664805
kdd_internet_usage (2)
Dexter (1) 600.00000000003
DBpedia(YAGO).arff (1) -1.1999999999967
NELL (1)
COMET_MC_SAMPLE (1) 449.06681389822
COMET_MC_SAMPLE (2) 630.89660521875
COMET_MC_SAMPLE (3) 630.89660521875
COMET_MC_SAMPLE (4) 449.06681389822
SensorDataResource (1) 30.401758758741
IBO (1) -0.50824690781137
CoverType5percent (1) 14.154424224383
YAGO_Schema_KGE (1) 48.485979293461
yagoSchema.ttl (4) 43.700170642834
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075174 (1) 10
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) 0.72024517360506
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075282 (1) 40
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 27
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) 73
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 55.652114108406
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1795135 (1) 74
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908386 (1) 72
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1926495 (1) 3.7916666666667
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1952 (1) 75.554649809151
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007622 (1) 74
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2006 (1) 8.6702342872235
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007629 (1) 396
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2055 (1) 49.761291635626
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 59
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2074 (1) 103
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2099 (1) 53
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2113 (1) 39.495588586173
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2146296 (1) 278
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL210 (1) 522.32698332638
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) 20.858821500431
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) 165
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) 29.563385953608
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) 52
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2714 (1) 226
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2717 (1) 121
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 83
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2778 (1) 94.458170572916
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) 1264.9999999999
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) 1211
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) 14
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3023 (1) 20
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL256 (1) 922.2554840123
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) 298
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3626 (1) 29
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3473 (1) 423.74342790064
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3686 (1) 27
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3703 (1) 2.7452561909007
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3721 (1) 101.17930122404
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) 16.252878434697
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3840 (1) 16.830044942462
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3849 (1) 16.779401022644
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL321 (1) 309.71256120032
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) 24
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3225 (1) 28
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3241 (1) 15.549882352941
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 23.965114886249
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3323 (1) 11
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3346 (1) 29
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3349 (1) 68.230347694633
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3229 (1) 617.49353404962
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3452 (1) 0.39488110124672
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) 29
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL301 (1) 1285.996892299
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) 746
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 23.874731613523
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 21.052936481039
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) 8.3258026159334
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) 69
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) 63
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 13
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 293
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) 4.5368341384527
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 81
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) 134.31579505746
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 10
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) 79.09151890763
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) 78.449765625
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4581 (1) 435.49083882724
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4715 (1) 101
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 14.752066115702
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) 83
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) 1024
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 18
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) 1.4918592436975
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) 949
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 3.4037527369819
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) 10
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) 80
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) 91
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) 81.564450335302
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3836 (1) 903
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3886 (1) 64.88981673408
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3992 (1) 11
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) 36
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) 13
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) 29
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) 52.298489070576
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) 8.4196577494009
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) 20
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 11.406609831067
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) 2.8163265306122
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4767 (1) 100.46064013841
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4809 (1) 16
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) 35
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) 81
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) 167.98046128519
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 28
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5044 (1) 79
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5047 (1) 74
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) 81
parkinsons-telemonitoring (1) 81.566374005106
higgs (1) 63.889738287879
KEGGMetabolicReactionNetwork (1) 1040.9017764165
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) 35.802025722895
CreditCardSubset (1) 459.19177630799
InterferenceSeperation (1) -0.24401059119839
KDD98 (1) 81408.209499412
sulfur (1) 74.447864168149
debutanizer (1) 49.477597493049
F2Pmodel3smoted (1) 3.7694507829915
F2Pmodel4smoted (1) 482.35465907301
S1S1_1s50_31features_7tasks (1) 1381.3791008901
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) -0.34429721534686
vowel (1) 0.15243688024771
BNG(mfeat-karhunen,nominal,1000000) (1)
BNG(bridges_version1,nominal,1000000) (1)
bolts (1) 1.2367206744614
cpu_act (1) 618.07540299909
delta_elevators (1) 3.8336185430901
pbc (1) 14.337869865984
sleep (1) 45.741020256015
triazines (1) 186
autoPrice (1) 5.7257897931047
detroit (1) 0.82771694173827
echoMonths (1) 4.1242747371447
puma8NH (1) -1.082968384931
hungarian (1) 4.578469749377
fishcatch (1) 0.85614938135202
pharynx (1) 0.3738713948688
house_8L (1) 7546.1669438359
garrat2 (1) 14
siddiqi (1) 10
lewis (1) 7
yprop_4_1 (1) 8884.9999999988
tsutumi (1) 13
strupcz (1) 34
PHENETYL1 (1) 18.73283198876
cristalli (1) 32
yokohoma2 (1) 12
heyl (1) 11
yokohoma1 (1) 13
krystek (1) 30
qsbralks (1) 3.8173651414046
qsartox (1) 6.191328787279
benzo32 (1) 9.0728677839298
uehling (1) 9
rosowky (1) 10
garrat (1) 10
doherty (1) 6
chang (1) 34
qsabr2 (1) 5.3303408101584
la2s.wc (1) 3063.0206909631
re1.wc (1) 1612.000731572
la1s.wc (1) 3197.5521875904
wap.wc (1) 1532.9546518647
ohscal.wc (1) 11009.328973265
pah (1) 52.663984178498
penning (1) 13
qsfrdhla (1) 4.4939609979756
qsprcmpx (1) 21.899201528411
qsfsr2 (1) 4.1654477904884
mtp2 (1) 274
depreux (1) 26
pdgfr (1) 79
carbolenes (1) 37
selwood (1) 28.763531158186
topo_2_1 (1) 8885
svensson (1) 13
qsabr1 (1) 5.3303408101584
qsbr_rw1 (1) 2.607854911286
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) -1.1991209686
Hyperplane_10_1E-4 (1) -1.1991209686
RandomRBF_0_0 (1) 0.48163231358624
RandomRBF_10_1E-3 (1) 0.39104138295224
RandomRBF_10_1E-4 (1) 0.39311535340551
RandomRBF_50_1E-4 (1) -0.037205215107272
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) 16.943911095368
spectf_train (1) 27.795952064999
SEA(50) (1) -1.1951633352141
SEA(50000) (1) -1.1951872107017
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) 898.58461023462
internet_usage (1)
UNIX_user_data (1) 0.92889594453725
SyskillWebert-BioMedical (1)
SyskillWebert-Sheep (1)
SyskillWebert-Goats (1)
SyskillWebert-Bands (1)
tr31.wc (1) 926.97699802351
codrna (1) 4.2971537132954
chembl1075021test1 (1) 35
aids (1) 7.8142486032559
bridges (2)
BNG(anneal) (1) 7.4259708776672
BNG(anneal.ORIG) (2) 7.9723239916735
BNG(labor) (2) 12.971839701223
BNG(letter) (2) 1.0187089691111
BNG(autos) (1) 7.6308081097667
BNG(lymph) (1) 18.753260704298
BNG(mfeat-fourier) (1) 0.66243188987437
BNG(bridges_version1) (1) 2.0172116916268
BNG(mfeat-zernike) (1) 2.2339705180235
BNG(colic.ORIG) (1) 9.0876718535775
BNG(colic) (1) 9.1228418750502
BNG(credit-a) (1) 16.195299364951
BNG(credit-g) (1) 2.6710272185738
20_newsgroups.drift (1)
BNG(mfeat-karhunen) (1) -0.023005420769378
BNG(pendigits) (1) 1.1024550537742
BNG(cylinder-bands) (1) 99.106886546374
BNG(dermatology) (1) -0.80375041723703
BNG(sonar) (1) 4.9054475465696
BNG(glass) (1) 8.8262608603491
BNG(heart-c) (1) 0.74851857729058
BNG(heart-statlog) (1) 1.8038298951053
BNG(vehicle) (1) 8.6299729638014
BNG(hepatitis) (1) 5.6188887571938
BNG(vowel) (1) -0.19838236244291
Ailerons (1) 6874.5
BNG(waveform-5000) (1) -0.23416765051045
BNG(zoo) (1) -0.47943254842282
QSAR-TID-30007 (1) 534.00000000001
QSAR-TID-103900 (1) 75
QSAR-TID-100871 (1) 84
QSAR-TID-10541 (1) 151
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QSAR-TID-10116 (1) 399
QSAR-TID-12261 (1) 918.49565040167
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QSAR-TID-219 (1) 1584.0000000001
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QSAR-TID-11081 (1) 842.99999999998
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QSAR-TID-127 (1) 1524
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QSAR-TID-14037 (1) 725.49771637755
QSAR-TID-30017 (1) 526.49241886191
QSAR-TID-100067 (1) 12
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QSAR-TID-10842 (1) 782
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QSAR-TID-10930 (1) 560.00000000001
QSAR-TID-102988 (1) 88
QSAR-TID-12840 (1) 801.49501635369
QSAR-TID-11711 (1) 11
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QSAR-TID-30035 (1) 678.00000000002
QSAR-TID-100969 (1) 79
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QSAR-TID-12474 (1) 360
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QSAR-TID-102389 (1) 12
QSAR-TID-12476 (1) 1023
QSAR-TID-100976 (1) 79
QSAR-TID-12591 (1) 10
QSAR-TID-90 (1) 1024.99610184
QSAR-TID-101152 (1) 101
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BNG(hepatitis,nominal,1000000) (1)
AccelerometerData (1)
BNG(kr-vs-kp,5000,1) (1)
a9a (1) 48841.999999999
BNG(mfeat-zernike,nominal,1000000) (1)
MeanWhile1 (1) 67.010838335565
BNG(audiology,1000,5) (1)
thompson (1) 8
KDDCup99 (1) 490583.35258046
BNG(labor,nominal,1000000) (1)
BNG(vote) (1)
AP_Lung_Kidney (1) 385.74074640634
BNG(sonar,nominal,1000000) (1)
BNG(autos,5000,10) (1) 7.4196950353007
BNG(hypothyroid,nominal,1000000) (1)
BNG(anneal,nominal,1000000) (1)
covertype (2) 193667.33331614
monks-problems-3_train (1)
BNG(credit-g) (2) 2.6710272185738
BNG(spambase) (2)
BNG(optdigits) (2)
BNG(ionosphere) (2)
BNG(segment) (2)
BNG(anneal) (2) 7.4259708776672
genbase (2)
langLog (1) 117.07963409466
reuters (2) 1138.7877446452
scene (4) 76.675719215167
yeast (4) 6.6879601695997
XYZ (1) 7444.1664101629
Glass (3) 54.689698529943
emotions (3) 95.517118977321
Model4scaledsmoted (1) 42.027614804001
thyroid-allhypo (1) 317.57031332024
thyroid-allrep (1) 317.57031332024
F2pmodel4scaledsmoted (1) 42.027614804001
Australian (2) 214.66997242753
Australian (3) 214.66997242753
testpvy (1) 5.7908178540485
xerces-1.4 (1) 245.38735025655
xerces-init (1) 66.012818286979
Honey_bee_Seasonal_mortality (1) 31.781834628717
epilobee_mortality (1) 5.2221076459996
pathogen_survey_dataset (3) 2.2847284819542
dataSet_2 (1) 13.215477213879
PC1 (2) 409.76588939137
PC2 (2) 2756.11538641
PC3 (2) 1039.3380068389
PC5 (1) 10050.617926169
poi-1.5 (1) 171.13833022209
poi-2.0 (1) 226.41648302846
poi-2.5 (1) 279.02004508032
poi-3.0 (1) 310.98046486064
prop-1 (1) 2520.9002453724
prop-2 (1) 1908.2122970949
log4j-1.0 (1) 82.637741529868
log4j-1.1 (1) 51.501327581585
log4j-1.2 (1) 185.10049009192
lucene-2.0 (1) 127.12577026812
lucene-2.2 (1) 152.05204183926
lucene-2.4 (1) 161.69201742346
MC1 (2) 4585.1981864279
MC2 (2) 21.019993508819
mozilla4 (2) 53.590950174839
MW1 (2) 61.394091175176
camel-1.0 (1) 112.81577299676
camel-1.2 (1) 158.52015914643
camel-1.4 (1) 355.31697495197
camel-1.6 (1) 489.89721165071
CM1 (1) 157.58124101998
datatrieve (2) 6.8841639543349
e-learning (1) 25.425220525678
ivy-1.1 (1) 57.844275899769
ivy-1.4 (1) 214.10030766713
ivy-20.0 (1) 208.15465229299
ant-1.3 (1) 92.447589096842
ant-1.4 (1) 112.27118294311
ant-1.5 (1) 270.01365318776
ant-1.6 (1) 320.68775681313
ant-1.7 (1) 649.9978922169
ar1 (2) 47.405330890706
ar3 (2) 32.825218767591
ar4 (2) 46.377293383231
ar6 (2) 48.736502523179
arc (1) 183.02321346129
test (2) 0.29078106236543
jedit-4.2 (1) 216.04344066901
PC4 (2) 771.63328881377
TestingDataSet (1) 13.215477213879
seeds (2) -0.066603303808416
seeds (3) -0.066603303808416
seismic-bumps (2) 210.74789307717
jedit-3.2 (1) 149.36030087539
jedit-4.0 (1) 155.10444064557
jedit-4.1 (1) 154.08047770738
jedit-4.3 (1) 216.04344066901
jedit-4.3 (2) 278.48396010139
JM1 (2) 2764.2202748515
KC1 (2) 103.88510916162
KC3 (2) 135.62389579562
KC4 (1) 41.765150758491
prop-3 (1) 6574.4988338358
prop-4 (1) 1611.868709784
prop-5 (1) 2255.2693094506
prop-6 (1) 79.400334833722
redaktor (1) 114.33124287313
synapse-1.0 (1) 54.486293754909
synapse-1.1 (1) 49.844337039015
synapse-1.2 (1) 68.109814200637
systemdata (1) 27.650131284604
tomcat (1) 468.46431683044
velocity-1.4 (1) 134.95157855944
velocity-1.6 (1) 192.90686137662
xalan-2.4 (1) 96.920075041884
xalan-2.5 (1) 144.39061616819
xalan-2.6 (1) 144.89684355727
xalan-2.8 (1) 128.07647383116
xerces-1.2 (1) 195.33363821789
xerces-1.3 (1) 194.39539835513
yeast (5) 159.88351064859
yeast (6) 159.88351064859
allhyper (1) 1.2240794686589
auto (1) 5.2341459677196
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)
xd6 (1)
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (3)
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (3)
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (3)
calendarDOW (1) 14.112096008739
car-evaluation (1)
clean1 (1) 215.73897367699
clean2 (1) 51.136196401146
corral (1)
tokyo1 (1) 958.99999999998
parity5_plus_5 (1)
allbp (1) 1.2241723638075
allrep (1) 1.2241723638075
analcatdata_happiness (1) 0.37520284746389
cleve (1) 4.5054231677537
ecoli (3) 105.635879146
glass2 (1) 144.20290422761
hypothyroid (3) 11.274715020483
led7 (1)
magic (1) 16.765406683787
mofn-3-7-10 (1)
mux6 (1)
thyroid-new (1) 36.849605504103
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
pvy1 (1) 5.7908178540485
cleveland-nominal (1)
Devnagari_Script_Dataset (1) 27.701708786343
Run_or_walk_information (1) 9.4875750154541
QuaLiKiz-4D (1) 88.807620843952
CIFAR_10_small (1) -0.37935829897467
tamilnadu-electricity (2) -1.1999574870819
steel-plates-fault (2) 1663.0518475718
cpu (3) 22.468899069672
Shuttle_7percent (1) 8050.7361465648
Shuttle_2percent (1) 7587.4638434728
smtp (1) 28030.145452417
Forest_Cover (1) 6.6901386440133
Banana (2) -0.63037411784094
Aloi (2) 30995.609836414
Mammography (2) 163.34649292815
Pen_global (1) 2.2567249014179
Pen_local (1) 3.0717089708242
UploadTestWithURL (1) 0.29078106236543
UploadTestWithURL (2) 0.29078106236543
UploadTestWithURL (3) 0.29078106236543
UploadTestWithURL (4) 0.29078106236543
Bankdata (1) 37.164565110977
Bankdata (2) 37.164565110977
Bankdata (3) 37.164565110977
lymph (3) 29.749465128076
sponge (3) -0.45676092081783
GermanCredit-train (1) 3.8750258036517
GermanCredit-test (1) 3.4270972850897
Gisette-train (1) 4900.0000000018
Gisette-test (1) 2100.0000000004
KR-vs-KP-train (1)
KR-vs-KP-test (1)
Madelon-train (1) 0.62294371762893
Madelon-test (1) 1.1039838280328
Secom-train (1) 1096.313501866
Secom-test (1) 470
Amazon-test (1) 450
Car-train (1)
Car-test (1)
Convex-train (1) -0.29382407999972
Convex-test (1) -0.37358908402052
Dexter-train (1) 420.00000000002
Dexter-test (1) 180
Dorothea-train (1) 805
Dorothea-test (1) 345.00000000001
subsample_delays_zurich_transport (2) 30
delays_zurich_transport (1) 60163.175974935
ML2017-challenge-1 (1)
ML2017-challenge-2 (1) 27130.688770339
ML2017-challenge-3 (1) 70000.000000002
Abalone-train (1) 100.79282191884
Abalone-test (1) 5.4722958109588
Amazon-train (1) 943.52750972868
Semeion-train (1) 19.396022548583
Semeion-test (1) 20.372219632633
Waveform-train (1) 0.10977561458115
Waveform-test (1) 0.30096209955841
WineQualityWhite-train (1) 40.902265123549
WineQualityWhite-test (1) 29.418678659514
Yeast-train (1) 153.12405521227
Yeast-test (1) 219.98191073585
Sami_DataSet (1) 0.29078106236543
Sami_DataSetAgain (1) 0.29078106236543
yeast (7) 383.18223464435
satellite_image (2) 1.2773432544147
ozone_level (2) 77.655429741237
libras_move (2) -0.24547835356876
data-v3.en-es-lit.clean.anno_without_14top.uniform (1) 191.7506716721
weather.nominal (1)
data-v3.en-es-lit.clean.anno_14top.uniform (1) 14