Measure

PercentageOfNumericFeatures

Percentage of numeric attributes.

Value per dataset

cjs (1) 91.428571428571
cpu_small (2) 100
AP_Omentum_Kidney (1) 99.990856724879
AP_Ovary_Kidney (1) 99.990856724879
OVA_Kidney (1) 99.990856724879
OVA_Uterus (1) 99.990856724879
OVA_Omentum (1) 99.990856724879
AP_Ovary_Lung (1) 99.990856724879
AP_Endometrium_Breast (1) 99.990856724879
OVA_Breast (1) 99.990856724879
AP_Uterus_Kidney (1) 99.990856724879
OVA_Lung (1) 99.990856724879
KDDCup09_upselling (1) 83.116883116883
chscase_funds (1) 100
fri_c4_100_100 (1) 100
fri_c0_250_25 (1) 100
sleuth_ex1714 (1) 100
KnuggetChase3 (1) 97.5
news20 (2) 100
rcv1.binary (1) 100
chscase_health (1) 66.666666666667
visualizing_ethanol (1) 100
rabe_166 (1) 100
visualizing_soil (1) 80
chscase_vine2 (1) 100
hutsof99_child_witness (1) 100
OVA_Colon (1) 99.990856724879
AP_Breast_Ovary (1) 99.990856724879
AP_Endometrium_Kidney (1) 99.990856724879
BNG(spectf_test) (1) 97.777777777778
BNG(adult) (1) 13.333333333333
BNG(satimage) (1) 97.297297297297
BNG(baseball) (1) 88.235294117647
BNG(eucalyptus) (1) 70
BNG(wisconsin) (1) 100
BNG(cleveland) (1) 50
BNG(auto_price) (1) 93.75
BNG(cpu_act) (1) 100
Goteborg_52 (1) 80
BNG(solar-flare) (1) 0
BNG(solar-flare) (1) 0
BNG(spect_test) (1) 0
hiva_agnostic (1) 99.938195302843
cjs (2) 91.428571428571
ESL (1) 100
ozone_level (1) 1.3698630136986
bridges (3) 23.076923076923
delta_elevators (2) 100
bank8FM (1) 100
cpu_act (2) 100
kdd_coil_4 (1) 75
fri_c4_250_100 (1) 100
fri_c0_1000_25 (1) 100
yeast_gene (1) 100
rsctc2010_5 (1) 99.998168967664
mouseType (1) 99.997782803423
ovarianTumour (1) 99.998169235839
hepatitisC (1) 99.998169235839
variousCancers_final (1) 99.998171043968
Acorns (1) 60
Cereals (1) 81.25
rsctc2010_4 (1) 99.998171043968
kc1-numeric (1) 100
lmpavw (1) 100
BNG(letter,5000,1) (1) 94.117647058824
BNG(letter,5000,10) (1) 94.117647058824
BNG(letter,10000,1) (1) 94.117647058824
BNG(letter,10000,10) (1) 94.117647058824
BNG(audiology,1000,1) (1) 0
BNG(audiology,1000,10) (1) 0
BNG(audiology,5000,1) (1) 0
BNG(kr-vs-kp,1000,10) (1) 0
BNG(kr-vs-kp,5000,5) (1) 0
BNG(kr-vs-kp,5000,10) (1) 0
BNG(kr-vs-kp,10000,1) (1) 0
BNG(kr-vs-kp,10000,5) (1) 0
BNG(kr-vs-kp,10000,10) (1) 0
BNG(letter,1000,5) (1) 94.117647058824
BNG(anneal,1000,1) (1) 15.384615384615
BNG(anneal,1000,5) (1) 15.384615384615
BNG(anneal,1000,10) (1) 15.384615384615
BNG(anneal,5000,1) (1) 15.384615384615
BNG(anneal,5000,5) (1) 15.384615384615
BNG(anneal,5000,10) (1) 15.384615384615
BNG(anneal,10000,1) (1) 15.384615384615
BNG(anneal,10000,5) (1) 15.384615384615
BNG(anneal,10000,10) (1) 15.384615384615
BNG(anneal.ORIG,1000,1) (1) 15.384615384615
BNG(anneal.ORIG,1000,5) (1) 15.384615384615
BNG(anneal.ORIG,1000,10) (1) 15.384615384615
BNG(anneal.ORIG,5000,1) (1) 15.384615384615
BNG(anneal.ORIG,5000,5) (1) 15.384615384615
BNG(anneal.ORIG,10000,5) (1) 15.384615384615
BNG(kr-vs-kp,1000,1) (1) 0
BNG(kr-vs-kp,1000,5) (1) 0
codrnaNorm (1) 88.888888888889
lungcancer_shedden (1) 87.5
fri_c4_100_10 (1) 100
fri_c3_100_5 (1) 100
BNG(audiology,5000,5) (1) 0
BNG(audiology,5000,10) (1) 0
BNG(autos,1000,1) (1) 57.692307692308
BNG(autos,1000,5) (1) 57.692307692308
BNG(autos,1000,10) (1) 57.692307692308
BNG(autos,5000,1) (1) 57.692307692308
BNG(autos,5000,5) (1) 57.692307692308
BNG(autos,10000,1) (1) 57.692307692308
BNG(autos,10000,5) (1) 57.692307692308
duke-breast-cancer (1) 100
fourclass (1) 100
german.numer (1) 100
BNG(autos,10000,10) (1) 57.692307692308
BNG(lymph,1000,1) (1) 15.789473684211
BNG(lymph,1000,10) (1) 15.789473684211
BNG(lymph,5000,1) (1) 15.789473684211
BNG(lymph,5000,5) (1) 15.789473684211
BNG(lymph,5000,10) (1) 15.789473684211
BNG(lymph,10000,1) (1) 15.789473684211
BNG(lymph,10000,10) (1) 15.789473684211
a1a (1) 100
a2a (1) 100
a3a (1) 100
a4a (1) 100
a5a (1) 100
a6a (1) 100
a8a (1) 100
Kaggle_bike_sharing_demand_challange (1) 50
physionet_bradycardia (1) 88.888888888889
physionet_tachycardia (1) 88.888888888889
fri_c4_500_100 (1) 100
TAM_k_d (1) 96.428571428571
Agrawal1 (1) 60
Stagger2 (1) 0
Stagger3 (1) 0
BNG(SPECT) (1) 0
BNG(SPECTF) (1) 97.777777777778
BNG(mv) (1) 72.727272727273
BNG(JapaneseVowels) (1) 93.333333333333
BNG(breastTumor) (1) 20
BNG(cpu_small) (1) 100
BNG(pwLinear) (1) 100
BNG(wine_quality) (1) 100
BNG(Australian) (1) 93.333333333333
BNG(satellite_image) (1) 100
BNG(Ailerons) (1) 100
BNG(libras_move) (1) 100
BNG(vowel) (2) 76.923076923077
BNG(puma32H) (1) 100
letter-challenge-unlabeled.arff (1) 94.117647058824
letter-challenge-labeled.arff (1) 94.117647058824
Click_prediction_small (6) 91.666666666667
nki70.arff (1) 94.805194805195
BNG(pbc) (1) 57.894736842105
BNG(autoHorse) (1) 69.230769230769
BNG(autoPrice) (1) 100
BNG(2dplanes) (1) 100
BNG(elevators) (1) 100
BNG(echoMonths) (1) 70
BNG(stock) (1) 100
analcatdata_birthday (1) 25
analcatdata_vehicle (1) 20
papir_2 (1) 100
dj30-1985-2003 (1) 88.888888888889
hip (1) 100
analcatdata_impeach (1) 20
analcatdata_whale (1) 75
analcatdata_supreme (1) 100
analcatdata_gsssexsurvey (1) 50
nflpass (1) 85.714285714286
analcatdata_neavote (1) 50
analcatdata_election2000 (1) 93.75
pollen (1) 100
analcatdata_uktrainacc (1) 100
analcatdata_chlamydia (1) 25
baseball-team (1) 55.555555555556
wind_correlations (1) 100
analcatdata_hiroshima (1) 66.666666666667
djdc0093 (1) 100
gina_prior (1) 99.872611464968
BachChoralHarmony (1) 11.764705882353
TurkiyeStudentEvaluation (1) 100
Physical_Activity_Recognition_Dataset_Using_Five_Smartphones (1) 96.825396825397
COMET_MC (2) 100
BuzzinsocialmediaTomsHardware (1) 100
Buzzinsocialmedia_Twitter (1) 100
Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors (1) 90.909090909091
ant (1) 95.454545454545
ant (2) 95.454545454545
COMET_MC (1) 100
data (1) 18.75
SpokenArabicDigit (1) 100
kdd_internet_usage (2) 0
Dexter (1) 99.995000249987
DBpedia(YAGO).arff (1) 0.041649312786339
NELL (1) 0
COMET_MC_SAMPLE (1) 100
COMET_MC_SAMPLE (2) 100
COMET_MC_SAMPLE (3) 100
COMET_MC_SAMPLE (4) 100
SensorDataResource (1) 92.592592592593
IBO (1) 100
CoverType5percent (1) 25.454545454545
YAGO_Schema_KGE (1) 66.666666666667
yagoSchema.ttl (4) 75
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075174 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075282 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1795135 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908386 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1926495 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1952 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007622 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2006 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007629 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2055 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2074 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2099 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2113 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2146296 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL210 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2714 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2717 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2778 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3023 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL256 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3626 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3473 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3686 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3703 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3721 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3840 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3849 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL321 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3225 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3241 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3323 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3346 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3349 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3229 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3452 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL301 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4581 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4715 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3836 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3886 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3992 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4767 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4809 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5044 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5047 (1) 97.777777777778
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) 97.777777777778
parkinsons-telemonitoring (1) 100
higgs (1) 100
KEGGMetabolicReactionNetwork (1) 93.103448275862
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) 100
CreditCardSubset (1) 96.774193548387
InterferenceSeperation (1) 75
KDD98 (1) 72.442588726514
sulfur (1) 100
debutanizer (1) 100
F2Pmodel3smoted (1) 80
F2Pmodel4smoted (1) 98
S1S1_1s50_31features_7tasks (1) 99.798792756539
BNG(colic.ORIG,nominal,1000000) (1) 0
BNG(colic,nominal,1000000) (1) 0
BNG(optdigits) (1) 0
BNG(credit-a,nominal,1000000) (1) 0
BNG(page-blocks,nominal,295245) (1) 0
BNG(credit-g,nominal,1000000) (1) 0
BNG(pendigits,nominal,1000000) (1) 0
BNG(cylinder-bands,nominal,1000000) (1) 0
BNG(dermatology,nominal,1000000) (1) 0
BNG(segment) (1) 0
BNG(anneal.ORIG,nominal,1000000) (1) 0
BNG(kr-vs-kp) (1) 0
BNG(letter,nominal,1000000) (1) 0
BNG(autos,nominal,1000000) (1) 0
BNG(lymph,nominal,1000000) (1) 0
BNG(breast-cancer,nominal,1000000) (1) 0
BNG(mfeat-fourier,nominal,1000000) (1) 0
hayes-roth_test (1) 80
hayes-roth_train (1) 80
vowel (1) 71.428571428571
BNG(mfeat-karhunen,nominal,1000000) (1) 0
BNG(bridges_version1,nominal,1000000) (1) 0
bolts (1) 100
cpu_act (1) 100
delta_elevators (1) 100
pbc (1) 57.894736842105
sleep (1) 100
triazines (1) 100
autoPrice (1) 100
detroit (1) 100
echoMonths (1) 70
puma8NH (1) 100
hungarian (1) 50
fishcatch (1) 75
pharynx (1) 16.666666666667
house_8L (1) 100
garrat2 (1) 100
siddiqi (1) 100
lewis (1) 100
yprop_4_1 (1) 100
tsutumi (1) 100
strupcz (1) 100
PHENETYL1 (1) 100
cristalli (1) 100
yokohoma2 (1) 100
heyl (1) 100
yokohoma1 (1) 100
krystek (1) 100
qsbralks (1) 100
qsartox (1) 100
benzo32 (1) 100
uehling (1) 100
rosowky (1) 100
garrat (1) 100
doherty (1) 100
chang (1) 100
qsabr2 (1) 100
la2s.wc (1) 99.991956888925
re1.wc (1) 99.973397180101
la1s.wc (1) 99.992421946044
wap.wc (1) 99.988181066068
ohscal.wc (1) 99.991278562707
pah (1) 100
penning (1) 100
qsfrdhla (1) 100
qsprcmpx (1) 100
qsfsr2 (1) 100
mtp2 (1) 100
depreux (1) 100
pdgfr (1) 100
carbolenes (1) 100
selwood (1) 100
topo_2_1 (1) 100
svensson (1) 100
qsabr1 (1) 100
qsbr_rw1 (1) 100
BNG(vehicle,nominal,1000000) (1) 0
BNG(vowel,nominal,1000000) (1) 0
BNG(ionosphere) (1) 0
BNG(waveform-5000,nominal,1000000) (1) 0
BNG(zoo,nominal,1000000) (1) 0
BNG(bridges_version2,nominal,1000000) (1) 0
Hyperplane_10_1E-3 (1) 90.909090909091
Hyperplane_10_1E-4 (1) 90.909090909091
RandomRBF_0_0 (1) 90.909090909091
RandomRBF_10_1E-3 (1) 90.909090909091
RandomRBF_10_1E-4 (1) 90.909090909091
RandomRBF_50_1E-4 (1) 90.909090909091
BNG(sick,nominal,1000000) (1) 0
BNG(glass,nominal,137781) (1) 0
BNG(soybean) (1) 0
BNG(spambase) (1) 0
BNG(heart-c,nominal,1000000) (1) 0
BNG(heart-h,nominal,1000000) (1) 0
BNG(trains) (1) 0
BNG(heart-statlog,nominal,1000000) (1) 0
spect_test (1) 0
spect_train (1) 0
spectf_test (1) 97.777777777778
spectf_train (1) 97.777777777778
SEA(50) (1) 75
SEA(50000) (1) 75
monks-problems-1_test (1) 0
monks-problems-1_train (1) 0
monks-problems-2_test (1) 0
monks-problems-2_train (1) 0
monks-problems-3_test (1) 0
oh15.wc (1) 99.967752337955
internet_usage (1) 0
UNIX_user_data (1) 33.333333333333
SyskillWebert-BioMedical (1) 0
SyskillWebert-Sheep (1) 0
SyskillWebert-Goats (1) 0
SyskillWebert-Bands (1) 0
tr31.wc (1) 99.990127357093
codrna (1) 88.888888888889
chembl1075021test1 (1) 99.903288201161
aids (1) 40
bridges (2) 0
BNG(anneal) (1) 15.384615384615
BNG(anneal.ORIG) (2) 15.384615384615
BNG(labor) (2) 47.058823529412
BNG(letter) (2) 94.117647058824
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BNG(lymph) (1) 15.789473684211
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BNG(credit-a) (1) 37.5
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20_newsgroups.drift (1) 0
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BNG(pendigits) (1) 94.117647058824
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BNG(dermatology) (1) 2.8571428571429
BNG(sonar) (1) 98.360655737705
BNG(glass) (1) 90
BNG(heart-c) (1) 42.857142857143
BNG(heart-statlog) (1) 92.857142857143
BNG(vehicle) (1) 94.736842105263
BNG(hepatitis) (1) 30
BNG(vowel) (1) 71.428571428571
Ailerons (1) 100
BNG(waveform-5000) (1) 97.560975609756
BNG(zoo) (1) 5.5555555555556
QSAR-TID-30007 (1) 99.90253411306
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QSAR-TID-10701 (1) 99.90253411306
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QSAR-TID-260 (1) 99.90253411306
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QSAR-TID-30048 (1) 99.90253411306
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QSAR-TID-30017 (1) 99.90253411306
QSAR-TID-100067 (1) 99.90253411306
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QSAR-TID-100867 (1) 99.90253411306
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QSAR-TID-30038 (1) 99.90253411306
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QSAR-TID-11711 (1) 99.90253411306
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QSAR-TID-30035 (1) 99.90253411306
QSAR-TID-100969 (1) 99.90253411306
QSAR-TID-102913 (1) 99.90253411306
QSAR-TID-11055 (1) 99.90253411306
QSAR-TID-186 (1) 99.90253411306
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QSAR-TID-101021 (1) 99.90253411306
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QSAR-TID-72 (1) 99.90253411306
QSAR-TID-20109 (1) 99.90253411306
QSAR-TID-10901 (1) 99.90253411306
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QSAR-TID-100976 (1) 99.90253411306
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QSAR-TID-90 (1) 99.90253411306
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QSAR-TID-11977 (1) 99.90253411306
BNG(hepatitis,nominal,1000000) (1) 0
AccelerometerData (1) 0
BNG(kr-vs-kp,5000,1) (1) 0
a9a (1) 100
BNG(mfeat-zernike,nominal,1000000) (1) 0
MeanWhile1 (1) 97.368421052632
BNG(audiology,1000,5) (1) 0
thompson (1) 100
KDDCup99 (1) 80.952380952381
BNG(labor,nominal,1000000) (1) 0
BNG(vote) (1) 0
AP_Lung_Kidney (1) 99.990856724879
BNG(sonar,nominal,1000000) (1) 0
BNG(autos,5000,10) (1) 57.692307692308
BNG(hypothyroid,nominal,1000000) (1) 0
BNG(anneal,nominal,1000000) (1) 0
covertype (2) 98.181818181818
monks-problems-3_train (1) 0
BNG(credit-g) (2) 33.333333333333
BNG(spambase) (2) 0
BNG(optdigits) (2) 0
BNG(ionosphere) (2) 0
BNG(segment) (2) 0
BNG(anneal) (2) 15.384615384615
genbase (2) 0
langLog (1) 93.049119555144
reuters (2) 97.2
scene (4) 98
yeast (4) 88.034188034188
XYZ (1) 87.012987012987
Glass (3) 90
emotions (3) 92.307692307692
Model4scaledsmoted (1) 98
thyroid-allhypo (1) 22.222222222222
thyroid-allrep (1) 22.222222222222
thyroid-dis (1) 22.222222222222
F2pmodel4scaledsmoted (1) 97.058823529412
Australian (2) 100
Australian (3) 93.333333333333
testpvy (1) 91.304347826087
xerces-1.4 (1) 95.238095238095
xerces-init (1) 95.238095238095
Honey_bee_Seasonal_mortality (1) 2.5641025641026
epilobee_mortality (1) 2.6315789473684
pathogen_survey_dataset (3) 58.823529411765
dataSet_2 (1) 15.384615384615
PC1 (2) 97.368421052632
PC2 (2) 94.594594594595
PC3 (2) 97.368421052632
PC5 (1) 97.435897435897
poi-1.5 (1) 95.238095238095
poi-2.0 (1) 95.238095238095
poi-2.5 (1) 95.238095238095
poi-3.0 (1) 95.238095238095
prop-1 (1) 95.454545454545
prop-2 (1) 95.454545454545
log4j-1.0 (1) 95.238095238095
log4j-1.1 (1) 95.238095238095
log4j-1.2 (1) 95.238095238095
lucene-2.0 (1) 95.238095238095
lucene-2.2 (1) 95.238095238095
lucene-2.4 (1) 95.238095238095
MC1 (2) 87.179487179487
MC2 (2) 97.5
mozilla4 (2) 66.666666666667
MW1 (2) 94.736842105263
camel-1.0 (1) 95.238095238095
camel-1.2 (1) 95.238095238095
camel-1.4 (1) 95.238095238095
camel-1.6 (1) 95.238095238095
CM1 (1) 97.368421052632
datatrieve (2) 77.777777777778
e-learning (1) 95.238095238095
ivy-1.1 (1) 95.238095238095
ivy-1.4 (1) 95.238095238095
ivy-20.0 (1) 95.238095238095
ant-1.3 (1) 95.238095238095
ant-1.4 (1) 95.238095238095
ant-1.5 (1) 95.238095238095
ant-1.6 (1) 95.238095238095
ant-1.7 (1) 95.238095238095
ar1 (2) 96.666666666667
ar3 (2) 96.666666666667
ar4 (2) 96.666666666667
ar6 (2) 96.666666666667
arc (1) 95.238095238095
test (2) 80
jedit-4.2 (1) 95.238095238095
PC4 (2) 97.368421052632
TestingDataSet (1) 15.384615384615
seeds (2) 100
seeds (3) 87.5
seismic-bumps (2) 73.684210526316
jedit-3.2 (1) 95.238095238095
jedit-4.0 (1) 95.238095238095
jedit-4.1 (1) 95.238095238095
jedit-4.3 (1) 95.238095238095
jedit-4.3 (2) 95.238095238095
JM1 (2) 95.454545454545
KC1 (2) 95.454545454545
KC3 (2) 97.5
KC4 (1) 84.615384615385
prop-3 (1) 95.454545454545
prop-4 (1) 95.454545454545
prop-5 (1) 95.454545454545
prop-6 (1) 95.454545454545
redaktor (1) 95.238095238095
synapse-1.0 (1) 95.238095238095
synapse-1.1 (1) 95.238095238095
synapse-1.2 (1) 95.238095238095
systemdata (1) 85
tomcat (1) 95
velocity-1.4 (1) 95.238095238095
velocity-1.6 (1) 95.238095238095
xalan-2.4 (1) 95.238095238095
xalan-2.5 (1) 95.238095238095
xalan-2.6 (1) 95.238095238095
xalan-2.8 (1) 95.238095238095
xerces-1.2 (1) 95.238095238095
xerces-1.3 (1) 95.238095238095
yeast (5) 88.888888888889
yeast (6) 88.888888888889
allhyper (1) 20
auto (1) 61.538461538462
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (1) 0
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (1) 0
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (1) 0
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (1) 0
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (1) 0
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (1) 0
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (2) 0
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (2) 0
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (2) 0
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (2) 0
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (2) 0
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (2) 0
agaricus-lepiota (1) 4.3478260869565
analcatdata_fraud (1) 0
xd6 (1) 0
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (3) 0
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (3) 0
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (3) 0
calendarDOW (1) 36.363636363636
car-evaluation (1) 0
clean1 (1) 99.408284023669
clean2 (1) 99.408284023669
corral (1) 0
tokyo1 (1) 93.333333333333
parity5_plus_5 (1) 0
allbp (1) 20
allrep (1) 20
analcatdata_happiness (1) 25
cleve (1) 35.714285714286
ecoli (3) 87.5
glass2 (1) 90
hypothyroid (3) 26.923076923077
led7 (1) 0
magic (1) 90.909090909091
mofn-3-7-10 (1) 0
mux6 (1) 0
thyroid-new (1) 83.333333333333
postoperative-patient-data (3) 0
solar-flare (3) 0
solar-flare (4) 0
threeOf9 (1) 0
pvy1 (1) 91.304347826087
cleveland-nominal (1) 0
Devnagari_Script_Dataset (1) 99.90243902439
Run_or_walk_information (1) 85.714285714286
QuaLiKiz-4D (1) 100
CIFAR_10_small (1) 99.9674585096
tamilnadu-electricity (2) 50
steel-plates-fault (2) 77.142857142857
cpu (3) 100
Shuttle_7percent (1) 90
Shuttle_2percent (1) 90
smtp (1) 75
Forest_Cover (1) 90.909090909091
Banana (2) 66.666666666667
Aloi (2) 96.428571428571
Mammography (2) 85.714285714286
Pen_global (1) 94.117647058824
Pen_local (1) 94.117647058824
UploadTestWithURL (1) 80
UploadTestWithURL (2) 80
UploadTestWithURL (3) 80
UploadTestWithURL (4) 80
Bankdata (1) 50
Bankdata (2) 50
Bankdata (3) 50
lymph (3) 15.789473684211
sponge (3) 6.5217391304348
GermanCredit-train (1) 33.333333333333
GermanCredit-test (1) 33.333333333333
Gisette-train (1) 99.9800039992
Gisette-test (1) 99.9800039992
KR-vs-KP-train (1) 0
KR-vs-KP-test (1) 0
Madelon-train (1) 99.800399201597
Madelon-test (1) 99.800399201597
Secom-train (1) 99.830795262267
Secom-test (1) 99.830795262267
Amazon-test (1) 99.9900009999
Car-train (1) 0
Car-test (1) 0
Convex-train (1) 99.872611464968
Convex-test (1) 99.872611464968
Dexter-train (1) 99.995000249987
Dexter-test (1) 99.995000249987
Dorothea-train (1) 99.99900001
Dorothea-test (1) 99.99900001
subsample_delays_zurich_transport (2) 73.333333333333
delays_zurich_transport (1) 73.333333333333
ML2017-challenge-1 (1) 0
ML2017-challenge-2 (1) 91.666666666667
ML2017-challenge-3 (1) 99.872611464968
Abalone-train (1) 77.777777777778
Abalone-test (1) 77.777777777778
Amazon-train (1) 99.9900009999
Semeion-train (1) 99.610894941634
Semeion-test (1) 99.610894941634
Waveform-train (1) 97.560975609756
Waveform-test (1) 97.560975609756
WineQualityWhite-train (1) 91.666666666667
WineQualityWhite-test (1) 91.666666666667
Yeast-train (1) 88.888888888889
Yeast-test (1) 88.888888888889
Sami_DataSet (1) 80
Sami_DataSetAgain (1) 80