Measure

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Value per dataset

yeast_gene (1) -1
KDDCup99_full (1) 0
robot-failures-lp2 (1) -21.127659574468
robot-failures-lp3 (1) -21.127659574468
ldpa (1) 81869.990640538
gas-drift (1) -72.753951340546
gas-drift-different-concentrations (1) -72.753951340546
skin-segmentation (1) 123.17715062214
spoken-arabic-digit (1) -3.07972717211
walking-activity (1) -1.6553281144631
mouseType (1) 1.0626355140187
BurkittLymphoma (1) 3.1241272727273
anthracyclineTaxaneChemotherapy (1) 1.6807987421384
ovarianTumour (1) 1.2349893992933
hepatitisC (1) 1.2349893992933
variousCancers_final (1) 0.26499216710183
USCrime (1) 0.34042553191489
MercuryinBass (1) 0.27981132075472
diggle_table_a1 (1) 2.4
disclosure_z (1) 9.8729702734139
visualizing_slope (1) 5.8773249909091
disclosure_x_tampered (1) 9.8960232567976
disclosure_x_noise (1) 9.8871098430514
sleuth_case1202 (1) 82.279569892473
sleuth_case1201 (1) 16.2092
disclosure_x_bias (1) 9.8818836495468
sleuth_case1102 (1) 3.6382352941176
sleuth_case2002 (1) 15.680272108844
rmftsa_ladata (1) 2.8444291338583
witmer_census_1980 (1) 10.958
garrat2 (1) 0
Phen (1) 0.083333318181818
siddiqi (1) 0
lewis (1) 0
thompson (1) 0
yprop_4_1 (1) 0
tsutumi (1) 0
strupcz (1) 0
PHENETYL1 (1) 0.070953409090909
cristalli (1) 0
qqdefects_numeric (1) 39.362724137931
nasa_numeric (1) 47.752688172043
KDDCup99 (1) 0
gina_prior (1) 0
BNG(spectf_test) (1) 50.683350965223
BNG(adult) (1) 10.065616405859
BNG(satimage) (1) -0.02890800672
BNG(baseball) (1) 0.267700620734
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(primary-tumor) (1)
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
Dexter (1) 0
Dorothea (1) 0
NELL (1)
KDD98 (1) 0.0058545267200598
sulfur (1) 0.080707561948219
debutanizer (1) 0.2677878049457
F2Pmodel3smoted (1) 0.011698064796447
F2Pmodel4smoted (1) -23398.377859816
breast-cancer-dropped-missing-attributes-values (1)
BNG(letter,5000,1) (1) 3.0754116398509
BNG(letter,5000,5) (1) 3.1298005317289
BNG(letter,5000,10) (1) 3.1728087314967
BNG(letter,10000,1) (1) 3.058867210866
BNG(letter,10000,5) (1) 3.1055424589201
BNG(letter,10000,10) (1) 3.1293836815709
BNG(audiology,1000,1) (1)
BNG(audiology,1000,5) (1)
BNG(audiology,1000,10) (1)
BNG(audiology,5000,1) (1)
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,5000,10) (1) 3.245898859725
BNG(autos,10000,1) (1) 3.244587790936
BNG(autos,10000,5) (1) 3.246158731797
appendicitis (1) 0.16915094339623
amazon-commerce-reviews (1) 0.0059999999999999
arcene (1) 0
artificial-characters (1) 2.2227441769427
colon-cancer (1) -0.29032258064516
svmguide1 (1) 0.07375310325857
duke-breast-cancer (1) -0.071913930232558
fourclass (1) -0.2877030162413
german.numer (1) -0.956
iris-test (1) 2.0000000365931E-8
BNG(autos,10000,10) (1) 3.246224405741
BNG(lymph,1000,1) (1) 1.6131420000002
BNG(lymph,1000,5) (1) 1.529899
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,10000,5) (1) 1.6101349999996
BNG(lymph,10000,10) (1) 1.6112239999998
KungChi3 (1) 0.080894308943089
KnuggetChase3 (1) 0.074639175257732
MindCave2 (1) 0.07624
a1a (1) -0.51838088510795
a2a (1) -0.51838088510795
a3a (1) -0.51838088510795
a4a (1) -0.51838088510795
a5a (1) -0.51838088510795
a6a (1) -0.51838088510795
a7a (1) -0.51838088510795
a8a (1) -0.51838088510795
a9a (1) -0.52143646861308
MyIris (1) 1.1986666666667
physionet_asystole (1) 0.554310449313
physionet_bradycardia (1) 0.76701489011678
physionet_tachycardia (1) 0.61134389679288
contact-lenses (1)
cpu.with.vendor (1) 4.6985645933014
COMET_MC (2) 8.0063200376338E-6
COMET_MC (1) 8.0063200376338E-6
SensorDataResource (1) 0.5993214352423
IBO (1) 0.00029222407407407
CoverType5percent (1) 0.052365499573009
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-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
cjs (3) 0.3
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 0
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
YAGO_Schema_KGE (1) -0.031639092980551
yagoSchema.ttl (4) 0.0052944756299681
MiceProtein (1) 0.12088914805463
KEGGMetabolicReactionNetwork (1) 0.0017371865492724
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) 0.00017047515110683
BachChoralHarmony (1) 3.1348631950574
TurkiyeStudentEvaluation (1) 1.214089347079
SpokenArabicDigit (1) -3.2257225939444
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (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-CHEMBL320 (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-CHEMBL4731 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 0
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-CHEMBL1163106 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) 0
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (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-CHEMBL5081 (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
hiva_agnostic (1) 0.0018917001655237
vowel (3) -3.2037404040404
cocomo_numeric (1) 74.588333333333
humans_numeric (1) 0.73333333333333
kc1-numeric (1) 0
cjs (2) 0.3
ESL (1) 5.0840163934426
SWD (1) 1.455
ERA (1) 4.131
SMSA (1) 3.2466101694915
Brainsize (1) 68.525641025641
Acorns (1) 3.3410256410256
Cereals (1) 0.82103896103896
ICU (1) 0.2
pubexpendat (1) 0.5
EgyptianSkulls (1) -1840
ESL (2) 5.0840163934426
ada_prior (1) 10.15453748356
visualizing_soil (1) 0.73854239092698
cloud (2) 1.2021296296296
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
TAM_k_d (1) 0
eating (1) -25704390.64704
Agrawal1 (1) 15.512429
Stagger1 (1)
Stagger2 (1)
Stagger3 (1)
AirlinesCodrnaAdult (1) 0.22189148054717
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,5000,10) (1) 1.252812291783
BNG(anneal.ORIG,10000,1) (1) 1.199000967265
BNG(anneal.ORIG,10000,5) (1) 1.231634337547
BNG(anneal.ORIG,10000,10) (1) 1.248993434506
BNG(kr-vs-kp,1000,1) (1)
BNG(kr-vs-kp,1000,5) (1)
BNG(kr-vs-kp,1000,10) (1)
BNG(kr-vs-kp,5000,1) (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,1000,1) (1) 3.1304050146479
BNG(letter,1000,5) (1) 3.2040415166782
BNG(letter,1000,10) (1) 3.2406562666749
BNG(SPECT) (1)
BNG(SPECTF) (1) 51.689113443529
BNG(mv) (1) -12.492755656912
BNG(JapaneseVowels) (1) -0.523202104166
Click_prediction_small (1) 1.4906845871166
Click_prediction_small (2) 1.4882483844452
Click_prediction_small (3) 1.4644464581633
Click_prediction_small (4) 1.4630045909453
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(puma32H) (1) -0.598120295105
codrnaNorm (1) 0.30667064681465
vehicleNorm (1) -1.4655472311932
lungcancer_shedden (1) 4.3836915535445
letter-challenge-unlabeled.arff (1) 3.0461
letter-challenge-labeled.arff (1) 3.0461
Click_prediction_small (7) 1.4630045909453
Click_prediction_small (6) 1.4630045909453
nki70.arff (1) -0.32171813888889
BNG(pbc) (1) 3.274871514124
BNG(autoHorse) (1) 0.81808286355501
BNG(lowbwt) (1) 23.19451358253
BNG(cholesterol) (1) 0.68447299999999
BNG(autoPrice) (1) 0.75689721339001
BNG(pharynx) (1) 60.464982186879
BNG(2dplanes) (1) -0.011803756202473
BNG(elevators) (1) -12.62908808981
BNG(echoMonths) (1) 0.22281900137174
BNG(stock) (1) 18.681779695456
fourclass_scale (1) -0.2877030162413
german.numer (2) -0.956
gisette (1) -0.99971428571429
heart (1) -0.7037037037037
ijcnn (1) -0.80782654514532
rcv1.binary (1) 0
real-sim (1) -0.38491750681145
splice (3) 0.038110236220473
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) 2.4994004930688
poker-hand (2) 2.499396097561
connect-4 (1) 0.00026644167147734
aloi (1) 0.011120370370372
SensIT-Vehicle-Combined (1) -0.11738189199009
poker (2) 0.61700568774939
SPECTF (2) 50.535580524345
w1a (1) -0.94054151842254
w2a (1) -0.94054151842253
w3a (1) -0.94054151842253
w4a (1) -0.94054151842253
w5a (1) -0.94054151842252
w6a (1) -0.9405415184225
w7a (1) -0.9405415184225
w8a (1) -0.94024729520864
svmguide3 (1) -0.52373290426389
wisconsin (1) 0.0040044381443299
vineyard (1) 3.2788461538462
bolts (1) 1
cpu_act (1) 1.1275048828125
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)
monks-problems-3_train (1)
pol (1) 0
sleep (1) 2.4193548387097
triazines (1) 0
detroit (1) 3.9476923076923
Hyperplane_10_1E-4 (1) 0.499800006184
LED(50000) (1)
pokerhand (1) 2.6131577265353
RandomRBF_0_0 (1) 0.39155074822
RandomRBF_10_1E-3 (1) 0.389402065143
RandomRBF_10_1E-4 (1) 0.401026027986
RandomRBF_50_1E-3 (1) 0.500020417991
RandomRBF_50_1E-4 (1) 0.503193420929
BNG(anneal,nominal,1000000) (1)
gascons (1) 1.7122962962963
elusage (1) 43.275127272727
longley (1) 101.68125
diabetes_numeric (1) -8.1488372093023
baskball (1) 0.16128854166667
2dplanes (1) -0.0056171507064363
elevators (1) -12.79878305922
house_8L (1) 0.01032985151861
BNG(waveform-5000) (1) -0.024783228234
BNG(zoo) (1) 3.079610348082
20_newsgroups.drift (1)
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(vehicle,nominal,1000000) (1)
BNG(hepatitis,nominal,1000000) (1)
BNG(vote) (1)
BNG(hypothyroid,nominal,1000000) (1)
BNG(ionosphere) (1)
BNG(waveform-5000,nominal,1000000) (1)
BNG(zoo,nominal,1000000) (1)
CovPokElec (1) 0
covertype (3) 0.19286204417119
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(mfeat-karhunen) (1) -1.827956301127
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(page-blocks) (1) 0.37363591579536
BNG(credit-g) (1) 1.157826
BNG(sick,nominal,1000000) (1)
BNG(sonar,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)
hayes-roth_test (1) 1
hayes-roth_train (1) 1.9545454545455
bridges (1) 2.6304347826087
bridges (2)
BNG(anneal.ORIG,nominal,1000000) (1)
BNG(kr-vs-kp) (1)
BNG(labor,nominal,1000000) (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)
BNG(mfeat-karhunen,nominal,1000000) (1)
BNG(bridges_version1,nominal,1000000) (1)
BNG(bridges_version2,nominal,1000000) (1)
BNG(mfeat-zernike,nominal,1000000) (1)
BNG(mushroom) (1)
SyskillWebert-Goats (1)
SyskillWebert-Bands (1)
internet_usage (1)
UNIX_user_data (1) 885.17406593408
SyskillWebert-BioMedical (1)
SyskillWebert-Sheep (1)
spect_test (1)
spect_train (1)
spectf_test (1) 50.661710037175
spectf_train (1) 55.075
covertype (2) 5.1634045424465E-6
satellite_image (1) 3.6686868686869
Ailerons (1) -12.599563636364
coil2000 (1) 0.000916310323763
libras_move (1) 0.46376037027778
cjs (1) 0.3
doherty (1) 0
chang (1) 0
qsabr2 (1) 0.307164
qsabr1 (1) 0.307164
qsbr_rw1 (1) 0.25699
prnn_crabs (1) 12.7385
arsenic-male-bladder (1) 1.3273703041145
iq_brain_size (1) 6.9925
papir_2 (1) -0.0122
hip (1) 24.777777777778
tr31.wc (1) 0.0032362459546925
oh15.wc (1) 0.0032858707557502
new3s.wc (1) 0.00031387319522912
qsbralks (1) 0.16411115384615
stevenson (1) 0
qsartox (1) 0.2719245
benzo32 (1) 0.23398227179487
uehling (1) 0
rosowky (1) 0
garrat (1) 0
detroit (2) 3.9476923076923
kidney (1) 1.1842105263158
bank32nh (1) -0.016437694946289
bodyfat (1) 1.0555738095238
cpu (1) 4.6985645933014
cpu_small (2) 1.8845544433594
fried (1) 0.49696970663265
meta (1) 0.13636363636364
kdd_coil_1 (1) 2.9645222929936
kdd_coil_2 (1) 2.9645222929936
auto93 (1) 2.6677419354839
kdd_coil_3 (1) 2.9645222929936
delta_elevators (2) -12.304297572764
bank8FM (1) -0.0081892355957031
cpu_act (2) 1.1275048828125
house_16H (1) 0.0035891179599719
kdd_coil_4 (1) 1.4651898734177
kdd_coil_5 (1) 2.9645222929936
kdd_coil_6 (1) 2.9645222929936
kdd_coil_7 (1) 2.1775316455696
wind (1) 6.3062747185884
tecator (1) -0.14886781858333
space_ga (1) -91638847.147731
nflpass (1) 82.916923076923
places (1) 538.73252279635
sleep (2) 1.972
pm10 (1) 0.1548
pbc (2) 0.83014354066986
humandevel (1) 0.64293846153846
pollen (1) -0.0036366424116424
boston (1) 0.55469505928854
arsenic-female-bladder (1) 0.86404293381038
cps_85_wages (1) 9.024063670412
arsenic-male-lung (1) 5.9087656529517
houses (1) -119.56970445736
socmob (1) 16.940743944637
pollution (1) 3.2631666666667
boston_corrected (1) -71.056388735178
transplant (1) 2.381679389313
lmpavw (1) -0.21285232357425
sensory (1) 15.074652777778
no2 (1) 0.1494
strikes (1) 0.456
plasma_retinol (1) 3.2793650793651
balloon (1) -0.047455272363818
arsenic-female-lung (1) 2.8336314847943
pbcseq (1) 0.18226221079692
newton_hema (1) 37.285714285714
wind_correlations (1) -33.860488888889
veteran (1) 8.7737226277372
us_crime (1) 0.022778335005015
mbagrade (1) 3.290393442623
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
chembl1075021test1 (1) 0
mv (1) -12.497746139129
aids (1) 9037.02
ozone_level (1) 0.02878548895899
puma32H (1) -0.53032048266602
wine_quality (1) 0.056033861782361
bridges (3) 2.6304347826087
bridges (4)
la2s.wc (1) 0.00097560975609756
oh5.wc (1) 0.0032679738562092
re1.wc (1) 0.0018105009052504
la1s.wc (1) 0.00093632958801498
wap.wc (1) 0.0019230769230769
ohscal.wc (1) 0.00026876903780679
selwood (1) 0.073090580645161
svensson (1) 0
penning (1) 0
qsfsr1 (1) 0.16808285
qsfrdhla (1) 0.169699875
qsprcmpx (1) 0.059198409090909
qsfsr2 (1) 0.26857452631579
mtp2 (1) 0
yokohoma2 (1) 0
heyl (1) 0
yokohoma1 (1) 0
mtp (1) 0.0025285831460674
qsbr_y2 (1) 0.26676204
krystek (1) 0
depreux (1) 0
pdgfr (1) 0
carbolenes (1) 0
rsctc2010_3 (1) -0.55398947368421
rsctc2010_4 (1) 0.86086725663717
rsctc2010_5 (1) 0.58307865168539
rsctc2010_6 (1) 0.045565217391304
rsctc2010_1 (1) 1.8637047619048
rsctc2010_2 (1) 1.8637047619048
ASP-POTASSCO-regression (1) 0
ASP-POTASSCO-classification (1) 0
MIP-2016-PAR10-regression (1) -5406917.6683579
MIP-2016-PAR10-classification (1) -5406917.6683579
employee_salaries (14) 2003.5975292588
Football_players_Fifa_stats (1) 14.704393312293
visualizing_ethanol (1) 0.92647727272727
chscase_geyser1 (1) 3.5761261261261
LEV (1) 1.722
FacultySalaries (1) 0.24
MIP-2016-regression (1) -5406917.6683579
MIP-2016-classification (1) -5406917.6683579
rabe_166 (1) 43.1975
rmftsa_ctoarrivals (1) 1989.5
sleuth_ex1605 (1) 12.322580645161
chscase_vine2 (1) 26.5
visualizing_galaxy (1) -0.8427244926318
chscase_vine1 (1) 3.2788461538462
rabe_131 (1) 2.66
chatfield_4 (1) 49.111914893617
hutsof99_child_witness (1) 1.9761904761905
rabe_97 (1) 1.9782608695652
rabe_176 (1) 0.019190142857143
sleuth_ex1221 (1) 13.238095238095
chscase_foot (1) 0.37072243346008
chscase_health (1) 5.16
visualizing_hamster (1) 0.10350545315068
rabe_148 (1) -13.630303030303
chscase_census3 (1) 4.21639325
chscase_census2 (1) 19.39201725
chscase_demand (1) 0.60081481481481
visualizing_environmental (1) 9.9387387387387
chscase_funds (1) 4.2162162162162
hutsof99_logis (1) 2.794
Premier_League_matches (1) 1.161431948666
Premier_League_odds_and_prob (1) 0.27077105260946
OVA_Uterus (1) 42.301747572815
OVA_Omentum (1) 42.301747572815
AP_Ovary_Lung (1) 64.316358024691
AP_Endometrium_Prostate (1) 59.286923076923
OVA_Endometrium (1) 42.301747572815
AP_Colon_Omentum (1) 38.246556473829
AP_Endometrium_Breast (1) 53.09012345679
AP_Omentum_Uterus (1) 60.039303482587
AP_Omentum_Prostate (1) 46.230821917808
AP_Colon_Lung (1) 39.069902912621
AP_Breast_Omentum (1) 46.517814726841
AP_Endometrium_Colon (1) 43.810374639769
OVA_Kidney (1) 42.301747572816
AP_Colon_Prostate (1) 44.554929577465
AP_Lung_Uterus (1) 70.2604
AP_Colon_Kidney (1) 51.191575091575
OVA_Breast (1) 42.301747572816
AP_Uterus_Kidney (1) 60.129427083333
OVA_Lung (1) 42.301747572815
AP_Prostate_Uterus (1) 57.687564766839
AP_Omentum_Lung (1) 62.506403940887
AP_Prostate_Kidney (1) 51.391489361702
AP_Breast_Colon (1) 45.093492063492
OVA_Prostate (1) 42.301747572815
AP_Omentum_Kidney (1) 44.43412462908
AP_Breast_Prostate (1) 45.937288135593
fri_c4_100_100 (1) -5.6070000198361E-9
fri_c0_250_25 (1) -1.6200000816369E-9
fri_c0_500_10 (1) -1.7109999990161E-9
fri_c2_100_25 (1) -4.8200000435372E-9
fri_c1_100_5 (1) -2.6130000063684E-9
fri_c2_250_10 (1) -8.3359998787058E-10
fri_c3_250_25 (1) -2.8960000166833E-9
emotions (4) -72.998228231029
fri_c3_500_50 (1) -1.959999997414E-9
fri_c3_500_10 (1) -1.4989999719273E-9
fri_c1_250_10 (1) -2.1739999661596E-9
fri_c1_250_50 (1) -3.7175999905159E-9
fri_c0_500_5 (1) -1.5474000116811E-9
fri_c0_500_50 (1) -1.6125000233402E-9
fri_c0_100_25 (1) -3.4890000333299E-9
fri_c0_250_5 (1) -2.9359999497158E-9
fri_c4_250_100 (1) -2.5304000361714E-9
fri_c3_500_25 (1) -1.52588001745E-9
fri_c1_500_25 (1) -1.7397999223512E-9
fri_c1_1000_50 (1) -1.5113000413347E-9
fri_c4_500_25 (1) -1.8083799888657E-9
AP_Breast_Kidney (1) 51.704470198676
AP_Endometrium_Ovary (1) 71.277606177606
AP_Colon_Uterus (1) 54.758780487805
OVA_Colon (1) 42.301747572816
AP_Ovary_Uterus (1) 60.193788819876
AP_Lung_Kidney (1) 44.916580310881
AP_Prostate_Ovary (1) 70.124719101124
AP_Colon_Ovary (1) 46.387190082645
AP_Endometrium_Lung (1) 57.029946524064
AP_Prostate_Lung (1) 68.34358974359
AP_Omentum_Ovary (1) 54.744
AP_Endometrium_Kidney (1) 48.806542056075
AP_Breast_Uterus (1) 55.05641025641
AP_Ovary_Kidney (1) 49.518777292576
AP_Breast_Lung (1) 49.620425531915
AP_Endometrium_Omentum (1) 47.695652173913
AP_Endometrium_Uterus (1) 43.876216216216
AP_Breast_Ovary (1) 44.110147601476
MeanWhile1 (1) 0.075098814229249
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)
breast (1) 1.4177396280401
cars1 (1) 15.68112244898
calendarDOW (1) 9.4887218045113
car-evaluation (1)
clean1 (1) -265.09243697479
clean2 (1) -265.69096695968
corral (1)
Titanic (2) -0.00075947296683313
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
fars (1) 4.9790527691943
glass2 (1) 0.029815950920245
hypothyroid (3) 31.306354726525
led24 (1)
led7 (1)
magic (1) -4.3317451577287
mofn-3-7-10 (1)
cleveland-nominal (1)
crx (1) 2.2234057971014
dis (1) 31.103658536585
parity5 (1)
pima (1) 0.47187630208333
mux6 (1)
thyroid-new (1) 2.0502325581395
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
NPSdecay (1) 0.14764473952174
qType_2prev (1) 2014.6146051319
qType_5prev (1) 1079.9589238368
qType_30prev (1) 369.16077366906
MNIST (1) 0
convex (1) 0.23055172413793
mnist_rotation (1) 0.4675550963871
secom (1) -5618.3936102236
CF-metadataset (1) -1.0856278943024
CF-metadataset-nmae (1) -1.0856278943024
USPS (1) -0.99180011131426
Breast_Cancer (1)
sylva_agnostic (2) 191.06154914901
ada_agnostic (2) 12.094695309075
climate-model-simulation-chrashes (1) 0.49991313369482
jungle_chess_2pcs_endgame_panther_lion (1) 0.70131802721091
jungle_chess_2pcs_endgame_panther_lion (2) 0.70131802721091
jungle_chess_2pcs_endgame_elephant_elephant (1) 0.7511697150149
jungle_chess_2pcs_endgame_panther_elephant (1) 0.75042517006803
ex2-features-holiday-person-event-en-201610 (1)
ex3-features-holiday-all-es-201610 (1)
ex3-features-holiday-all-en-201610 (1)
London-smart-meter-data-preprocessed-for-clustering (1) 0.092013028030004