Measure

MinKurtosisOfNumericAtts

Minimum kurtosis among attributes of the numeric type.

Value per dataset

cjs (1) -1.2000000000001
cpu_small (2) 0.90314126446658
AP_Omentum_Kidney (1) -1.1257876362147
AP_Ovary_Kidney (1) -1.0946176643905
OVA_Kidney (1) -0.85458581125099
OVA_Uterus (1) -0.85458581125099
OVA_Omentum (1) -0.85458581125099
AP_Ovary_Lung (1) -0.5790397150143
AP_Endometrium_Breast (1) -0.35394587638501
OVA_Breast (1) -0.854585811251
AP_Uterus_Kidney (1) -1.2329827235797
OVA_Lung (1) -0.854585811251
KDDCup09_upselling (1) -1.6749586509971
chscase_funds (1) -1.2432010145553
fri_c4_100_100 (1) -1.4063052306821
fri_c0_250_25 (1) -1.3883588784607
sleuth_ex1714 (1) -1.0814955553406
KnuggetChase3 (1) -0.57346229435122
news20 (2) -1.2050341808559
rcv1.binary (1) -1.990335257314
chscase_health (1) -1.3212497247717
visualizing_ethanol (1) -1.4338328706639
rabe_166 (1) -1.3838845141362
visualizing_soil (1) -1.3302897463506
chscase_vine2 (1) -1.2303119202552
hutsof99_child_witness (1) -1.2943701533161
OVA_Colon (1) -0.854585811251
AP_Breast_Ovary (1) -0.20474364819807
AP_Endometrium_Kidney (1) -1.1986782624629
BNG(spectf_test) (1) 0.51725258197531
BNG(adult) (1) 0.46825510475918
BNG(satimage) (1) -0.92317680800241
BNG(baseball) (1) -0.00029809253199575
BNG(eucalyptus) (1) -1.9570521250741
BNG(wisconsin) (1) -0.80478845463503
BNG(cleveland) (1) -0.68582051771869
BNG(auto_price) (1) -0.997657962801
BNG(cpu_act) (1) -0.15942281666929
Goteborg_52 (1) -1.21621057978
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
hiva_agnostic (1) -2.0008656837875
cjs (2) -1.2000000000001
ESL (1) -0.19759993408571
ozone_level (1) 29.830511317867
bridges (3) -0.40137050120393
delta_elevators (2) -0.5464315381909
bank8FM (1) -1.3787836157497
cpu_act (2) 0.90314126446658
kdd_coil_4 (1) 0.50919302846553
fri_c4_250_100 (1) -1.398767138401
fri_c0_1000_25 (1) -1.2572240839644
yeast_gene (1) -2.2666666666667
rsctc2010_5 (1) -1.8982739892826
mouseType (1) -1.6890287765446
ovarianTumour (1) -1.586052060212
hepatitisC (1) -1.586052060212
variousCancers_final (1) -1.8231440166143
Acorns (1) -0.83212408372243
Cereals (1) -1.4392012859468
rsctc2010_4 (1) -1.8985576461899
kc1-numeric (1) -0.81752674239178
lmpavw (1) 0.10511446192346
BNG(letter,5000,1) (1) -0.56153279511123
BNG(letter,5000,10) (1) -0.61900953216329
BNG(letter,10000,1) (1) -0.53639834034679
BNG(letter,10000,10) (1) -0.58120188621711
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) -0.63214759822936
BNG(anneal,1000,1) (1) -1.4509200871618
BNG(anneal,1000,5) (1) -1.4991586264701
BNG(anneal,1000,10) (1) -1.6629780538563
BNG(anneal,5000,1) (1) -1.1811992641525
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
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,10000,5) (1) -0.87442403171587
BNG(kr-vs-kp,1000,1) (1)
BNG(kr-vs-kp,1000,5) (1)
codrnaNorm (1) -1.1664793375782
lungcancer_shedden (1) -0.45692798321241
fri_c4_100_10 (1) -1.3686696354135
fri_c3_100_5 (1) -1.1945504694735
BNG(audiology,5000,5) (1)
BNG(audiology,5000,10) (1)
BNG(autos,1000,1) (1) -0.97956575119881
BNG(autos,1000,5) (1) -0.98079232822185
BNG(autos,1000,10) (1) -0.97960319430789
BNG(autos,5000,1) (1) -0.97793995079978
BNG(autos,5000,5) (1) -0.97951448289803
BNG(autos,10000,1) (1) -0.98011057519898
BNG(autos,10000,5) (1) -0.97920898913092
duke-breast-cancer (1) -2.038994537966
fourclass (1) -1.6415832585347
german.numer (1) -1.8501438979806
BNG(autos,10000,10) (1) -0.97949555952973
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) -1.9829784152255
a2a (1) -1.9829784152255
a3a (1) -1.9829784152255
a4a (1) -1.9829784152256
a5a (1) -1.9829784152256
a6a (1) -1.9829784152255
a8a (1) -1.9829784152256
Kaggle_bike_sharing_demand_challange (1) -0.91453026376307
physionet_bradycardia (1) -1.2834802811078
physionet_tachycardia (1) -0.75618429855002
fri_c4_500_100 (1) -1.3330007739787
TAM_k_d (1) -1.2938039870578
Agrawal1 (1) -1.2034127495498
Stagger2 (1)
Stagger3 (1)
BNG(SPECT) (1)
BNG(SPECTF) (1) 0.54192575439897
BNG(mv) (1) -1.2026095624897
BNG(JapaneseVowels) (1) -0.92300635887686
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
letter-challenge-unlabeled.arff (1) -0.42117882211686
letter-challenge-labeled.arff (1) -0.42117882211686
Click_prediction_small (6) -1.1192284930363
nki70.arff (1) -1.5105633802817
BNG(pbc) (1) -0.7074187591947
BNG(autoHorse) (1) -1.9250809761024
BNG(autoPrice) (1) -0.99978122365351
BNG(2dplanes) (1) -1.9999092255871
BNG(elevators) (1) -0.55667419183718
BNG(echoMonths) (1) -0.90736013567611
BNG(stock) (1) -1.3098954871236
analcatdata_birthday (1) -0.68710290164929
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
analcatdata_supreme (1) -1.9947336544066
analcatdata_gsssexsurvey (1) 0.52799477435461
nflpass (1) -0.51862861302322
analcatdata_neavote (1) -1.8980866257798
analcatdata_election2000 (1) 3.3077984534823
pollen (1) -0.30878823241238
analcatdata_uktrainacc (1) -1.1284289391619
analcatdata_chlamydia (1) 18.110850169333
baseball-team (1) -0.68714163487871
wind_correlations (1) -0.74791026802531
analcatdata_hiroshima (1) 1.6557060545938
djdc0093 (1) -1.3502939237583
gina_prior (1) -1.8266918531361
BachChoralHarmony (1) -0.93213579352992
TurkiyeStudentEvaluation (1) -1.4109132825183
Physical_Activity_Recognition_Dataset_Using_Five_Smartphones (1) -0.88189010182094
COMET_MC (2) -1.2000008304402
BuzzinsocialmediaTomsHardware (1) 1.6820204628979
Buzzinsocialmedia_Twitter (1) 6.2067460317528
Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors (1) -0.18009264690596
ant (1) -1.8526827091172
ant (2) -1.8161635041716
COMET_MC (1) -1.2000008304402
data (1) -0.97238420384354
SpokenArabicDigit (1) -0.74281704476517
kdd_internet_usage (2)
Dexter (1) 0.036335279607973
DBpedia(YAGO).arff (1) -1.1999999999967
NELL (1)
COMET_MC_SAMPLE (1) -1.2000830483972
COMET_MC_SAMPLE (2) -1.2060153728211
COMET_MC_SAMPLE (3) -1.2060153728211
COMET_MC_SAMPLE (4) -1.2000830483972
SensorDataResource (1) -0.57758663711107
IBO (1) -1.2424284843553
CoverType5percent (1) -1.952154219531
YAGO_Schema_KGE (1) 47.0718991533
yagoSchema.ttl (4) 23.841847138824
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075174 (1) -1.2244897959184
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) -1.6486433899038
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075282 (1) -1.7992854386491
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) -0.65012682931465
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-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-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-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-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-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
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-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
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
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
parkinsons-telemonitoring (1) -1.3875816658947
higgs (1) -1.9869307512101
KEGGMetabolicReactionNetwork (1) -1.0058924338793
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) -2.0038572806171
CreditCardSubset (1) -1.2886933394073
InterferenceSeperation (1) -1.7561985466657
KDD98 (1) -1.9999639104879
sulfur (1) -0.93968817604279
debutanizer (1) -0.79383671284212
F2Pmodel3smoted (1) -0.3658215172561
F2Pmodel4smoted (1) -1.631888535823
S1S1_1s50_31features_7tasks (1) -0.63725566810843
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) -1.5115384615385
vowel (1) -0.76213951846429
BNG(mfeat-karhunen,nominal,1000000) (1)
BNG(bridges_version1,nominal,1000000) (1)
bolts (1) -1.8237908961593
cpu_act (1) 0.90314126446658
delta_elevators (1) -0.5464315381909
pbc (1) -0.61672476081767
sleep (1) -1.3291245751525
triazines (1) -1.5719724523165
autoPrice (1) -0.82317539508906
detroit (1) -1.6423435643267
echoMonths (1) -0.9135300958054
puma8NH (1) -1.2032935443937
hungarian (1) -1.6705215955806
fishcatch (1) -0.98949620956869
pharynx (1) 0.2780418059174
house_8L (1) -1.0959003161475
garrat2 (1) -1.6768268386846
siddiqi (1) -2.2114012043095
lewis (1) -2.7831562044526
yprop_4_1 (1) -0.81312788565071
tsutumi (1) -2.2045771245969
strupcz (1) -1.5618287973524
PHENETYL1 (1) -2.2105263157895
cristalli (1) -1.5269311536849
yokohoma2 (1) -2.297873785167
heyl (1) -2.2273171492073
yokohoma1 (1) -2.2793713646034
krystek (1) -2.1255308994801
qsbralks (1) -1.685201894576
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
la2s.wc (1) -1.6518126472991
re1.wc (1) 7.8343991932099
la1s.wc (1) -1.6159799104369
wap.wc (1) 0.92588137593095
ohscal.wc (1) 4.3667271887037
pah (1) -1.5050328066178
penning (1) -2.3599282068275
qsfrdhla (1) -1.7536873496931
qsprcmpx (1) -1.870182456928
qsfsr2 (1) -1.3835456902452
mtp2 (1) -0.37635812279996
depreux (1) -1.0226391167772
pdgfr (1) -1.7907709905562
carbolenes (1) -1.8040034602858
selwood (1) -1.8438021322694
topo_2_1 (1) -0.19900002563197
svensson (1) -2.3453308109544
qsabr1 (1) -1.8084279502121
qsbr_rw1 (1) -2.1644611835343
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) -1.2013932818275
Hyperplane_10_1E-4 (1) -1.2013932818275
RandomRBF_0_0 (1) -0.23900862209026
RandomRBF_10_1E-3 (1) -0.19336259965707
RandomRBF_10_1E-4 (1) -0.20254107500331
RandomRBF_50_1E-4 (1) -0.073413810124443
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) 0.86985648155462
spectf_train (1) -0.83942753907666
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) 2.4891326379307
internet_usage (1)
UNIX_user_data (1) 0.92889594453725
SyskillWebert-BioMedical (1)
SyskillWebert-Sheep (1)
SyskillWebert-Goats (1)
SyskillWebert-Bands (1)
tr31.wc (1) -2.0042120009442
codrna (1) -1.1664793940048
chembl1075021test1 (1) -2.1212121212121
aids (1) 1.3448180326098
bridges (2)
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
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
20_newsgroups.drift (1)
BNG(mfeat-karhunen) (1) -0.95749064789741
BNG(pendigits) (1) -1.6946852489762
BNG(cylinder-bands) (1) -1.7265720670711
BNG(dermatology) (1) -0.80375041723703
BNG(sonar) (1) -1.1734085658146
BNG(glass) (1) -0.092383735006036
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
Ailerons (1) -0.61627530709573
BNG(waveform-5000) (1) -0.75522212414678
BNG(zoo) (1) -0.47943254842282
QSAR-TID-30007 (1) -2.0074763173175
QSAR-TID-103900 (1) -2.0547945205479
QSAR-TID-100871 (1) -1.8894308943089
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QSAR-TID-100860 (1) -2.0677966101695
QSAR-TID-101533 (1) -2.1739130434783
QSAR-TID-102401 (1) -1.9112342677346
QSAR-TID-12867 (1) -2.1379310344828
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QSAR-TID-100624 (1) -2.032
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QSAR-TID-20032 (1) -2.0330578512397
QSAR-TID-104385 (1) -2.1904761904762
QSAR-TID-11058 (1) -2.1025641025641
QSAR-TID-100427 (1) -2.0533333333333
QSAR-TID-100992 (1) -2.0493827160494
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QSAR-TID-11863 (1) -2.0597014925373
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QSAR-TID-12703 (1) -2.0176168934207
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QSAR-TID-240 (1) -2.0139885312049
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BNG(hepatitis,nominal,1000000) (1)
AccelerometerData (1)
BNG(kr-vs-kp,5000,1) (1)
a9a (1) -1.9824440699419
BNG(mfeat-zernike,nominal,1000000) (1)
MeanWhile1 (1) -0.25770889130497
BNG(audiology,1000,5) (1)
thompson (1) -2.7647604703392
KDDCup99 (1) -1.9151390378034
BNG(labor,nominal,1000000) (1)
BNG(vote) (1)
AP_Lung_Kidney (1) -0.88826907488881
BNG(sonar,nominal,1000000) (1)
BNG(autos,5000,10) (1) -0.98048193447974
BNG(hypothyroid,nominal,1000000) (1)
BNG(anneal,nominal,1000000) (1)
covertype (2) -1.957727848407
monks-problems-3_train (1)
BNG(credit-g) (2) -1.3827357660504
BNG(spambase) (2)
BNG(optdigits) (2)
BNG(ionosphere) (2)
BNG(segment) (2)
BNG(anneal) (2) -0.87719144377088
genbase (2)
langLog (1) -2.0026775792355
reuters (2) -1.6148265372353
scene (4) -0.75210058182329
yeast (4) -1.1748499597532
XYZ (1) -1.9378302889361
Glass (3) -0.41031896289157
emotions (3) -0.53354435434177
Model4scaledsmoted (1) -1.676427717698
thyroid-allhypo (1) 4.6216575910427
thyroid-allrep (1) 4.6216575910427
thyroid-dis (1) 4.6216575910427
F2pmodel4scaledsmoted (1) -1.676427717698
Australian (2) -1.9971378336902
Australian (3) -1.9971378336902
testpvy (1) -1.1125774302509
xerces-1.4 (1) -1.6139727464095
xerces-init (1) -1.4885582957984
Honey_bee_Seasonal_mortality (1) 31.781834628717
epilobee_mortality (1) 5.2221076459996
pathogen_survey_dataset (3) -1.2334442122121
dataSet_2 (1) -0.97238420384354
PC1 (2) -1.5097959205343
PC2 (2) -1.022957643377
PC3 (2) -1.4822370260657
PC5 (1) -1.6366204187873
poi-1.5 (1) -1.8522126887878
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poi-2.5 (1) -1.5526187225622
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prop-1 (1) -1.8179615994167
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log4j-1.0 (1) -1.2750455451859
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lucene-2.0 (1) -1.8292022519435
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MC1 (2) -1.5877514738114
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mozilla4 (2) -1.1906706996426
MW1 (2) -1.5270845224916
camel-1.0 (1) -1.6465301527467
camel-1.2 (1) -1.7442669531576
camel-1.4 (1) -1.7714093736885
camel-1.6 (1) -1.785406238685
CM1 (1) -1.5740065317541
datatrieve (2) 1.365353896179
e-learning (1) -1.9405733332512
ivy-1.1 (1) -1.6107827063723
ivy-1.4 (1) -1.5388438472038
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ant-1.3 (1) -1.8588137913184
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ar1 (2) -1.1311687023005
ar3 (2) -0.59582373926204
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ar6 (2) -0.35246054619035
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test (2) -1.4019208006454
jedit-4.2 (1) -1.8455396644528
PC4 (2) -1.510953029995
TestingDataSet (1) -0.97238420384354
seeds (2) -1.5072115384615
seeds (3) -1.1067032394404
seismic-bumps (2) 5.9253487377298
jedit-3.2 (1) -1.8782796841319
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tomcat (1) -1.8265714955281
velocity-1.4 (1) -1.9405866936232
velocity-1.6 (1) -1.8182640798639
xalan-2.4 (1) -1.8815736700661
xalan-2.5 (1) -1.8495733211174
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xerces-1.2 (1) -1.6986938899821
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yeast (5) 0.48923196961228
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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)
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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) -1.1823380814824
car-evaluation (1)
clean1 (1) -1.5884815360935
clean2 (1) -1.6228664799261
corral (1)
tokyo1 (1) -0.69431342223681
parity5_plus_5 (1)
allbp (1) -1.8482544283203
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analcatdata_happiness (1) 0.37520284746389
cleve (1) -0.54216714099084
ecoli (3) -1.0561507010389
glass2 (1) -0.10454658865276
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magic (1) -0.5337036036009
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thyroid-new (1) 1.5930793919637
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
pvy1 (1) -1.1125774302509
cleveland-nominal (1)
Devnagari_Script_Dataset (1) -1.8397895545847
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CIFAR_10_small (1) -1.3298045135159
tamilnadu-electricity (2) -1.2001834231677
steel-plates-fault (2) -1.8563564132864
cpu (3) 5.902470633962
Shuttle_7percent (1) 1.3001160508674
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smtp (1) 769.09651102809
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lymph (3) -0.50409604824253
sponge (3) -1.5213314010588
GermanCredit-train (1) -1.367374840606
GermanCredit-test (1) -1.4011814051833
Gisette-train (1) -1.8979644526347
Gisette-test (1) -1.8984382010308
KR-vs-KP-train (1)
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Madelon-train (1) -1.0027285757412
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Dexter-train (1) 0.012451646611773
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Dorothea-train (1) -0.88947811419814
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subsample_delays_zurich_transport (2) -2.0620555914674
delays_zurich_transport (1) -1.9999903600889
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ML2017-challenge-2 (1) -1.1151208782703
ML2017-challenge-3 (1) -1.8254292785727
Abalone-train (1) -0.16403243215051
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Semeion-train (1) -2.0029614731325
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Waveform-train (1) -0.655276309473
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WineQualityWhite-train (1) -0.71331818026986
WineQualityWhite-test (1) -0.68638847860117
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Sami_DataSet (1) -1.4019208006454
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