Measure

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Value per dataset

cjs (1) 0.3
cpu_small (2) 1.8845544433594
AP_Omentum_Kidney (1) 44.43412462908
AP_Ovary_Kidney (1) 49.518777292576
OVA_Kidney (1) 42.301747572816
OVA_Uterus (1) 42.301747572815
OVA_Omentum (1) 42.301747572815
AP_Ovary_Lung (1) 64.316358024691
AP_Endometrium_Breast (1) 53.09012345679
OVA_Breast (1) 42.301747572816
AP_Uterus_Kidney (1) 60.129427083333
OVA_Lung (1) 42.301747572815
KDDCup09_upselling (1) -153278.60848674
chscase_funds (1) 4.2162162162162
fri_c4_100_100 (1) -5.6070000198361E-9
fri_c0_250_25 (1) -1.6200000816369E-9
sleuth_ex1714 (1) 0.61489361702128
KnuggetChase3 (1) 0.074639175257732
news20 (2) 0.00010036130068244
rcv1.binary (1) 0
chscase_health (1) 5.16
visualizing_ethanol (1) 0.92647727272727
rabe_166 (1) 43.1975
visualizing_soil (1) 0.73854239092698
chscase_vine2 (1) 26.5
hutsof99_child_witness (1) 1.9761904761905
OVA_Colon (1) 42.301747572816
AP_Breast_Ovary (1) 44.110147601476
AP_Endometrium_Kidney (1) 48.806542056075
BNG(spectf_test) (1) 50.683350965223
BNG(adult) (1) 10.065616405859
BNG(satimage) (1) -0.02890800672
BNG(baseball) (1) 0.267700620734
BNG(eucalyptus) (1) -2.551536
BNG(wisconsin) (1) 0.00393353636
BNG(cleveland) (1) 0.68108699999998
BNG(auto_price) (1) 3.239506486957
BNG(cpu_act) (1) 1.007241297455
Goteborg_52 (1) 0.0020576131687244
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
hiva_agnostic (1) 0.0018917001655237
cjs (2) 0.3
ESL (1) 5.0840163934426
ozone_level (1) 0.02878548895899
bridges (3) 2.6304347826087
delta_elevators (2) -12.304297572764
bank8FM (1) -0.0081892355957031
cpu_act (2) 1.1275048828125
kdd_coil_4 (1) 1.4651898734177
fri_c4_250_100 (1) -2.5304000361714E-9
fri_c0_1000_25 (1) -1.3979999833325E-9
yeast_gene (1) -1
rsctc2010_5 (1) 0.58307865168539
mouseType (1) 1.0626355140187
ovarianTumour (1) 1.2349893992933
hepatitisC (1) 1.2349893992933
variousCancers_final (1) 0.26499216710183
Acorns (1) 3.3410256410256
Cereals (1) 0.82103896103896
rsctc2010_4 (1) 0.86086725663717
kc1-numeric (1) 0
lmpavw (1) -0.21285232357425
BNG(letter,5000,1) (1) 3.0754116398509
BNG(letter,5000,10) (1) 3.1728087314967
BNG(letter,10000,1) (1) 3.058867210866
BNG(letter,10000,10) (1) 3.1293836815709
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) 3.2040415166782
BNG(anneal,1000,1) (1) 1.26425318675
BNG(anneal,1000,5) (1) 1.266845731585
BNG(anneal,1000,10) (1) 1.26861139682
BNG(anneal,5000,1) (1) 1.231082295347
BNG(anneal,5000,5) (1) 1.263828517494
BNG(anneal,5000,10) (1) 1.264649931926
BNG(anneal,10000,1) (1) 1.222871095887
BNG(anneal,10000,5) (1) 1.249301935168
BNG(anneal,10000,10) (1) 1.263509146037
BNG(anneal.ORIG,1000,1) (1) 1.249124405961
BNG(anneal.ORIG,1000,5) (1) 1.265865909124
BNG(anneal.ORIG,1000,10) (1) 1.270382859111
BNG(anneal.ORIG,5000,1) (1) 1.195671009802
BNG(anneal.ORIG,5000,5) (1) 1.248992325597
BNG(anneal.ORIG,10000,5) (1) 1.231634337547
BNG(kr-vs-kp,1000,1) (1)
BNG(kr-vs-kp,1000,5) (1)
codrnaNorm (1) 0.30667064681465
lungcancer_shedden (1) 4.3836915535445
fri_c4_100_10 (1) -3.2099999947022E-9
fri_c3_100_5 (1) -1.099999984433E-9
BNG(audiology,5000,5) (1)
BNG(audiology,5000,10) (1)
BNG(autos,1000,1) (1) 3.246276039516
BNG(autos,1000,5) (1) 3.246401617629
BNG(autos,1000,10) (1) 3.2466291639
BNG(autos,5000,1) (1) 3.24481229993
BNG(autos,5000,5) (1) 3.246258107933
BNG(autos,10000,1) (1) 3.244587790936
BNG(autos,10000,5) (1) 3.246158731797
duke-breast-cancer (1) -0.071913930232558
fourclass (1) -0.2877030162413
german.numer (1) -0.956
BNG(autos,10000,10) (1) 3.246224405741
BNG(lymph,1000,1) (1) 1.6131420000002
BNG(lymph,1000,10) (1) 1.514518
BNG(lymph,5000,1) (1) 1.7107809999993
BNG(lymph,5000,5) (1) 1.6109169999996
BNG(lymph,5000,10) (1) 1.5681490000004
BNG(lymph,10000,1) (1) 1.730216
BNG(lymph,10000,10) (1) 1.6112239999998
a1a (1) -0.51838088510795
a2a (1) -0.51838088510795
a3a (1) -0.51838088510795
a4a (1) -0.51838088510795
a5a (1) -0.51838088510795
a6a (1) -0.51838088510795
a8a (1) -0.51838088510795
Kaggle_bike_sharing_demand_challange (1) 20.230859819952
physionet_bradycardia (1) 0.76701489011678
physionet_tachycardia (1) 0.61134389679288
fri_c4_500_100 (1) -2.0648599843298E-9
TAM_k_d (1) 0
Agrawal1 (1) 15.512429
Stagger2 (1)
Stagger3 (1)
BNG(SPECT) (1)
BNG(SPECTF) (1) 51.689113443529
BNG(mv) (1) -12.492755656912
BNG(JapaneseVowels) (1) -0.523202104166
BNG(breastTumor) (1) 24.692913947822
BNG(cpu_small) (1) 1.659761528028
BNG(pwLinear) (1) -0.34568223202199
BNG(wine_quality) (1) 0.056257179338817
BNG(Australian) (1) -0.979589245976
BNG(satellite_image) (1) 3.670015728909
BNG(Ailerons) (1) -12.515146479168
BNG(libras_move) (1) 0.464461385684
BNG(vowel) (2) -3.205204484509
BNG(puma32H) (1) -0.598120295105
letter-challenge-unlabeled.arff (1) 3.0461
letter-challenge-labeled.arff (1) 3.0461
Click_prediction_small (6) 1.4630045909453
nki70.arff (1) -0.32171813888889
BNG(pbc) (1) 3.274871514124
BNG(autoHorse) (1) 0.81808286355501
BNG(autoPrice) (1) 0.75689721339001
BNG(2dplanes) (1) -0.011803756202473
BNG(elevators) (1) -12.62908808981
BNG(echoMonths) (1) 0.22281900137174
BNG(stock) (1) 18.681779695456
analcatdata_birthday (1) 9132.1616438356
analcatdata_vehicle (1) 347.0625
papir_2 (1) -0.0122
dj30-1985-2003 (1) 22.683747159214
hip (1) 24.777777777778
analcatdata_impeach (1) 47.26
analcatdata_whale (1) 8.7412280701754
analcatdata_supreme (1) 0.022951628825271
analcatdata_gsssexsurvey (1) 0.33962264150943
nflpass (1) 82.916923076923
analcatdata_neavote (1) 5.56
analcatdata_election2000 (1) 19.029850746269
pollen (1) -0.0036366424116424
analcatdata_uktrainacc (1) 0.25806451612903
analcatdata_chlamydia (1) 3659.03
baseball-team (1) 80.846153846154
wind_correlations (1) -33.860488888889
analcatdata_hiroshima (1) 4.3929121725732
djdc0093 (1) 500.7179520517
gina_prior (1) 0
BachChoralHarmony (1) 3.1348631950574
TurkiyeStudentEvaluation (1) 1.214089347079
Physical_Activity_Recognition_Dataset_Using_Five_Smartphones (1) -24.249241142853
COMET_MC (2) 8.0063200376338E-6
BuzzinsocialmediaTomsHardware (1) 0.0015394521097271
Buzzinsocialmedia_Twitter (1) 0.00011073624174882
Physical_Activity_Recognition_Dataset_Using_Smartphone_Sensors (1) -40.506597419199
ant (1) 0.46904195967742
ant (2) 0.47003975141243
COMET_MC (1) 8.0063200376338E-6
data (1) 1.1985489977728
SpokenArabicDigit (1) -3.2257225939444
kdd_internet_usage (2)
Dexter (1) 0
DBpedia(YAGO).arff (1) 1443152.0000007
NELL (1)
COMET_MC_SAMPLE (1) 8.0290255625714E-6
COMET_MC_SAMPLE (2) 7.9929882166598E-6
COMET_MC_SAMPLE (3) 7.9929882166598E-6
COMET_MC_SAMPLE (4) 8.0290255625714E-6
SensorDataResource (1) 0.5993214352423
IBO (1) 0.00029222407407407
CoverType5percent (1) 0.052365499573009
YAGO_Schema_KGE (1) -0.031639092980551
yagoSchema.ttl (4) 0.0052944756299681
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075174 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075282 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1795135 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908386 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1926495 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1952 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007622 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2006 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2007629 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2055 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2074 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2099 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2113 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2146296 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL210 (1) 0.0019023462270133
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2714 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2717 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2778 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) 0.00082576383154416
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3023 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL256 (1) 0.0011634671320535
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3626 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3473 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3686 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3703 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3721 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3840 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3849 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL321 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3225 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3241 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3323 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3346 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3349 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3229 (1) 0.0016129032258064
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3452 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL301 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4581 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4715 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3836 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3886 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3992 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4767 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4809 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5044 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5047 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) 0
parkinsons-telemonitoring (1) 4.4027118297872E-5
higgs (1) -0.0078964183217679
KEGGMetabolicReactionNetwork (1) 0.0017371865492724
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) 0.00017047515110683
CreditCardSubset (1) -0.011058073244382
InterferenceSeperation (1) 0.80449799196787
KDD98 (1) 0.0058545267200598
sulfur (1) 0.080707561948219
debutanizer (1) 0.2677878049457
F2Pmodel3smoted (1) 0.011698064796447
F2Pmodel4smoted (1) -23398.377859816
S1S1_1s50_31features_7tasks (1) -0.00019233964646466
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
hayes-roth_train (1) 1.9545454545455
vowel (1) -3.2037404040404
BNG(mfeat-karhunen,nominal,1000000) (1)
BNG(bridges_version1,nominal,1000000) (1)
bolts (1) 1
cpu_act (1) 1.1275048828125
delta_elevators (1) -12.304297572764
pbc (1) 3.2208133971292
sleep (1) 2.4193548387097
triazines (1) 0
autoPrice (1) 0.73584905660377
detroit (1) 3.9476923076923
echoMonths (1) 0.21686991869919
puma8NH (1) -0.014780120727539
hungarian (1) 0
fishcatch (1) 14.119620253165
pharynx (1) 60.435897435897
house_8L (1) 0.01032985151861
garrat2 (1) 0
siddiqi (1) 0
lewis (1) 0
yprop_4_1 (1) 0
tsutumi (1) 0
strupcz (1) 0
PHENETYL1 (1) 0.070953409090909
cristalli (1) 0
yokohoma2 (1) 0
heyl (1) 0
yokohoma1 (1) 0
krystek (1) 0
qsbralks (1) 0.16411115384615
qsartox (1) 0.2719245
benzo32 (1) 0.23398227179487
uehling (1) 0
rosowky (1) 0
garrat (1) 0
doherty (1) 0
chang (1) 0
qsabr2 (1) 0.307164
la2s.wc (1) 0.00097560975609756
re1.wc (1) 0.0018105009052504
la1s.wc (1) 0.00093632958801498
wap.wc (1) 0.0019230769230769
ohscal.wc (1) 0.00026876903780679
pah (1) 0.0213715
penning (1) 0
qsfrdhla (1) 0.169699875
qsprcmpx (1) 0.059198409090909
qsfsr2 (1) 0.26857452631579
mtp2 (1) 0
depreux (1) 0
pdgfr (1) 0
carbolenes (1) 0
selwood (1) 0.073090580645161
topo_2_1 (1) 0
svensson (1) 0
qsabr1 (1) 0.307164
qsbr_rw1 (1) 0.25699
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) 0.499800006184
Hyperplane_10_1E-4 (1) 0.499800006184
RandomRBF_0_0 (1) 0.39155074822
RandomRBF_10_1E-3 (1) 0.389402065143
RandomRBF_10_1E-4 (1) 0.401026027986
RandomRBF_50_1E-4 (1) 0.503193420929
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) 50.661710037175
spectf_train (1) 55.075
SEA(50) (1) 4.999006034042
SEA(50000) (1) 4.999026177836
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) 0.0032858707557502
internet_usage (1)
UNIX_user_data (1) 885.17406593408
SyskillWebert-BioMedical (1)
SyskillWebert-Sheep (1)
SyskillWebert-Goats (1)
SyskillWebert-Bands (1)
tr31.wc (1) 0.0032362459546925
codrna (1) -2.3466154092776
chembl1075021test1 (1) 0
aids (1) 9037.02
bridges (2)
BNG(anneal) (1) 1.204870029435
BNG(anneal.ORIG) (2) 1.17735989039
BNG(labor) (2) 2.151549
BNG(letter) (2) 3.06860264255
BNG(autos) (1) 3.245124506851
BNG(lymph) (1) 1.086532
BNG(mfeat-fourier) (1) 0.071795535224
BNG(bridges_version1) (1) 2.593722
BNG(mfeat-zernike) (1) 0.078578113189
BNG(colic.ORIG) (1) 2.321333229643
BNG(colic) (1) 2.32043489956
BNG(credit-a) (1) 2.197265006407
BNG(credit-g) (1) 1.157826
20_newsgroups.drift (1)
BNG(mfeat-karhunen) (1) -1.827956301127
BNG(pendigits) (1) 29.48036751436
BNG(cylinder-bands) (1) 0.054113000000008
BNG(dermatology) (1) 36.025437234386
BNG(sonar) (1) 0.006485130966
BNG(glass) (1) 0.062741281998244
BNG(heart-c) (1) 0.71564
BNG(heart-statlog) (1) 0.150919
BNG(vehicle) (1) 6.367817216208
BNG(hepatitis) (1) 1.380226547544
BNG(vowel) (1) -3.203828122352
Ailerons (1) -12.599563636364
BNG(waveform-5000) (1) -0.024783228234
BNG(zoo) (1) 3.079610348082
QSAR-TID-30007 (1) 0
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BNG(hepatitis,nominal,1000000) (1)
AccelerometerData (1)
BNG(kr-vs-kp,5000,1) (1)
a9a (1) -0.52143646861308
BNG(mfeat-zernike,nominal,1000000) (1)
MeanWhile1 (1) 0.075098814229249
BNG(audiology,1000,5) (1)
thompson (1) 0
KDDCup99 (1) 0
BNG(labor,nominal,1000000) (1)
BNG(vote) (1)
AP_Lung_Kidney (1) 44.916580310881
BNG(sonar,nominal,1000000) (1)
BNG(autos,5000,10) (1) 3.245898859725
BNG(hypothyroid,nominal,1000000) (1)
BNG(anneal,nominal,1000000) (1)
covertype (2) 5.1634045424465E-6
monks-problems-3_train (1)
BNG(credit-g) (2) 1.157826
BNG(spambase) (2)
BNG(optdigits) (2)
BNG(ionosphere) (2)
BNG(segment) (2)
BNG(anneal) (2) 1.204870029435
genbase (2)
langLog (1) 0.0082191780821918
reuters (2) 0.044
scene (4) 0.026224997922725
yeast (4) -0.0024138489863467
XYZ (1) 0.063020066607534
Glass (3) 0.057009345794393
emotions (3) -72.998228231029
Model4scaledsmoted (1) 0.010881232208103
thyroid-allhypo (1) 0.99791209428571
thyroid-allrep (1) 0.99791209428571
thyroid-dis (1) 0.99791209428571
F2pmodel4scaledsmoted (1) 0.010881232208103
Australian (2) -0.97965228985507
Australian (3) -0.97965228985507
testpvy (1) 0
xerces-1.4 (1) 0.26095276530612
xerces-init (1) 0.30370841358025
Honey_bee_Seasonal_mortality (1) 3.6498528793611
epilobee_mortality (1) 11.450399327449
pathogen_survey_dataset (3) 0.00010756038135593
dataSet_2 (1) 1.1985489977728
PC1 (2) 0.12757000903342
PC2 (2) 0.034537484344248
PC3 (2) 0.12455534229047
PC5 (1) 0.025619108576749
poi-1.5 (1) 0.31641605907173
poi-2.0 (1) 0.30018195859873
poi-2.5 (1) 0.3253384
poi-3.0 (1) 0.3583802081448
prop-1 (1) 0.17486871311786
prop-2 (1) 0.039193534370383
log4j-1.0 (1) 0.12194633333333
log4j-1.1 (1) 0.18035063302752
log4j-1.2 (1) 0.26341463414634
lucene-2.0 (1) 0.32776224102564
lucene-2.2 (1) 0.33742011336032
lucene-2.4 (1) 0.32700869705882
MC1 (2) 0.058211493767167
MC2 (2) 0.10801242236025
mozilla4 (2) 434.01524605983
MW1 (2) 0.15300248138958
camel-1.0 (1) 0.39301369616519
camel-1.2 (1) 0.35855263157895
camel-1.4 (1) 0.36467889908257
camel-1.6 (1) 0.38963730569948
CM1 (1) 0.10768316831683
datatrieve (2) 24.407692307692
e-learning (1) 0.3125
ivy-1.1 (1) 0.21296221621622
ivy-1.4 (1) 0.31006920746888
ivy-20.0 (1) 0.29090761363636
ant-1.3 (1) 0.465289624
ant-1.4 (1) 0.46739907865169
ant-1.5 (1) 0.48659578156997
ant-1.6 (1) 0.47058904843305
ant-1.7 (1) 0.4746852966443
ar1 (2) 0.068347107438017
ar3 (2) 0.12743961904762
ar4 (2) 0.10163881775701
ar6 (2) 0.1970297029703
arc (1) 0.16239316239316
test (2) 1.1986666666667
jedit-4.2 (1) 0.44168932152589
PC4 (2) 0.11045267489712
TestingDataSet (1) 1.1985489977728
seeds (2) 0.87099857142857
seeds (3) 0.87099857142857
seismic-bumps (2) 0
jedit-3.2 (1) 0.43014705882353
jedit-4.0 (1) 0.44117647058824
jedit-4.1 (1) 0.45494496474359
jedit-4.3 (1) 0.44168932152589
jedit-4.3 (2) 0.41534423780488
JM1 (2) 0.13516547159404
KC1 (2) 0.085728523967727
KC3 (2) 0.09646288209607
KC4 (1) 0.05976
prop-3 (1) 0.066673155538254
prop-4 (1) 0.051732048635009
prop-5 (1) 0.052489431658056
prop-6 (1) 0.22045176818182
redaktor (1) 0.24250436931818
synapse-1.0 (1) 0.21366378343949
synapse-1.1 (1) 0.11261261261261
synapse-1.2 (1) 0.203125
systemdata (1) 0.49892783076923
tomcat (1) 0.27505827505828
velocity-1.4 (1) 0.4234693877551
velocity-1.6 (1) 0.31441048034935
xalan-2.4 (1) 0.44779964315353
xalan-2.5 (1) 0.42848470983811
xalan-2.6 (1) 0.46018914689266
xalan-2.8 (1) 0.39709420682068
xerces-1.2 (1) 0.25459655909091
xerces-1.3 (1) 0.26463246136865
yeast (5) 0.0075253549695741
yeast (6) 0.0075253549695741
allhyper (1) 31.099708300186
auto (1) 10.16198019802
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) 4.8116635972989
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) 9.4887218045113
car-evaluation (1)
clean1 (1) -265.09243697479
clean2 (1) -265.69096695968
corral (1)
tokyo1 (1) 0.012426016684046
parity5_plus_5 (1)
allbp (1) 31.103658536585
allrep (1) 31.103658536585
analcatdata_happiness (1) 25.283333333333
cleve (1) 1.039603960396
ecoli (3) 0.48477064220183
glass2 (1) 0.029815950920245
hypothyroid (3) 31.306354726525
led7 (1)
magic (1) -4.3317451577287
mofn-3-7-10 (1)
mux6 (1)
thyroid-new (1) 2.0502325581395
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
pvy1 (1) 0
cleveland-nominal (1)
Devnagari_Script_Dataset (1) 0
Run_or_walk_information (1) -3.4258644037567
QuaLiKiz-4D (1) 1.1414620535714
CIFAR_10_small (1) 99.69685
tamilnadu-electricity (2) 0.49963933946397
steel-plates-fault (2) -0.13130504894384
cpu (3) 4.6985645933014
Shuttle_7percent (1) -0.712508608815
Shuttle_2percent (1) -0.063955027802055
smtp (1) 2.7374626928414
Forest_Cover (1) 13.598308675473
Banana (2) -3.8890593018518E-10
Aloi (2) 2.1454964689568E-6
Mammography (2) 0.013123580434588
Pen_global (1) 20.91347342398
Pen_local (1) 31.836555621654
UploadTestWithURL (1) 1.1986666666667
UploadTestWithURL (2) 1.1986666666667
UploadTestWithURL (3) 1.1986666666667
UploadTestWithURL (4) 1.1986666666667
Bankdata (1) -40.518076238265
Bankdata (2) -40.518076238265
Bankdata (3) -40.518076238265
lymph (3) 1.0608108108108
sponge (3) 0.98684210526316
GermanCredit-train (1) 1.16
GermanCredit-test (1) 1.1433333333333
Gisette-train (1) 0
Gisette-test (1) 0
KR-vs-KP-train (1)
KR-vs-KP-test (1)
Madelon-train (1) 475.31373626374
Madelon-test (1) 474.80769230769
Secom-train (1) -5617.3282390511
Secom-test (1) -5620.8832622601
Amazon-test (1) 0
Car-train (1)
Car-test (1)
Convex-train (1) 0.226625
Convex-test (1) 0.23118
Dexter-train (1) 0
Dexter-test (1) 0
Dorothea-train (1) 0
Dorothea-test (1) 0
subsample_delays_zurich_transport (2) 0.0033333333333333
delays_zurich_transport (1) 0.02823333318114
ML2017-challenge-1 (1)
ML2017-challenge-2 (1) 1.4638530089116
ML2017-challenge-3 (1) 0
Abalone-train (1) 0.1397281121751
Abalone-test (1) 0.13902234636872
Amazon-train (1) 0.0028571428571428
Semeion-train (1) 0.041218637992832
Semeion-test (1) 0.039832285115304
Waveform-train (1) -0.022097142857143
Waveform-test (1) -0.05344
WineQualityWhite-train (1) 0.04557217847769
WineQualityWhite-test (1) 0.046239618788291
Yeast-train (1) 0.005274302213667
Yeast-test (1) 0.012696629213483
Sami_DataSet (1) 1.1986666666667
Sami_DataSetAgain (1) 1.1986666666667