Measure

Quartile2KurtosisOfNumericAtts

Second quartile (Median) of kurtosis among attributes of the numeric type.

Value per dataset

yeast_gene (1) -0.051972589987465
KDDCup99_full (1) 51.264197418019
robot-failures-lp2 (1) 2.8895563139463
robot-failures-lp3 (1) 2.8895563139463
ldpa (1) -1.1996772275206
gas-drift (1) 10.323210247482
gas-drift-different-concentrations (1) 10.152192295979
skin-segmentation (1) -0.86488776862854
spoken-arabic-digit (1) -0.054127507068865
walking-activity (1) 1.7134363687265
mouseType (1) 0.48867040179905
BurkittLymphoma (1) 0.54420641207819
anthracyclineTaxaneChemotherapy (1) 0.32313200747993
ovarianTumour (1) 0.71552084088789
hepatitisC (1) 0.71552084088789
variousCancers_final (1) 0.88275831054622
USCrime (1) 0.38590669600374
MercuryinBass (1) 0.71197998169419
diggle_table_a1 (1) -0.63379957449222
disclosure_z (1) 0.086837323609972
visualizing_slope (1) -0.70987919919134
disclosure_x_tampered (1) 0.094123960066372
disclosure_x_noise (1) 0.11339364797008
sleuth_case1202 (1) 0.73137849851893
sleuth_case1201 (1) -0.14321942465959
disclosure_x_bias (1) 0.072134215306156
sleuth_case1102 (1) -0.050873003238582
sleuth_case2002 (1) -0.19913091101451
rmftsa_ladata (1) 0.52648678730063
witmer_census_1980 (1) 0.32321400295694
garrat2 (1) 9.5845655709008
Phen (1) -0.64036440862725
siddiqi (1) 4.3444761889782
lewis (1) 2.1034318349853
thompson (1) 1.2039765421104
yprop_4_1 (1) 96.026949782971
tsutumi (1) 3.1769182503279
strupcz (1) 8.4158369402894
PHENETYL1 (1) -0.25534585527502
cristalli (1) 7.6051811125486
qqdefects_numeric (1) 2.4939723443521
nasa_numeric (1) 10.071694916483
KDDCup99 (1) 50.290156644844
gina_prior (1) 8.8366100147439
BNG(spectf_test) (1) 2.1220145107648
BNG(adult) (1) 0.76926582665712
BNG(satimage) (1) -0.35054579092725
BNG(baseball) (1) 0.74131550041537
BNG(wisconsin) (1) 0.46316555506101
BNG(cleveland) (1) 0.18158916973551
BNG(auto_price) (1) 0.38813140784316
BNG(cpu_act) (1) 8.2228149364152
Goteborg_52 (1) -0.6532637804231
BNG(primary-tumor) (1)
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
Dexter (1) 481.12145602752
Dorothea (1) 159.9918216823
NELL (1)
KDD98 (1) 10.892648907023
sulfur (1) 0.022072433239168
debutanizer (1) 2.9065874151107
F2Pmodel3smoted (1) 0.90415378904296
F2Pmodel4smoted (1) 1.8931545894579
breast-cancer-dropped-missing-attributes-values (1)
BNG(letter,5000,1) (1) 0.13671623138631
BNG(letter,5000,5) (1) 0.13869847026347
BNG(letter,5000,10) (1) 0.1027292166048
BNG(letter,10000,1) (1) 0.13499825788491
BNG(letter,10000,5) (1) 0.14974650174318
BNG(letter,10000,10) (1) 0.13903946371451
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) 0.23246983213889
BNG(autos,1000,5) (1) 0.18532629731414
BNG(autos,1000,10) (1) 0.13874597438537
BNG(autos,5000,1) (1) 0.26568240742068
BNG(autos,5000,5) (1) 0.22777503223391
BNG(autos,5000,10) (1) 0.088856382437927
BNG(autos,10000,1) (1) 0.24225025560473
BNG(autos,10000,5) (1) 0.24695440707093
appendicitis (1) 0.8241556149721
amazon-commerce-reviews (1) 56.171997346441
arcene (1) 3.044838869624
artificial-characters (1) -0.2275809697695
colon-cancer (1) 0.0035488907187564
svmguide1 (1) -0.7082690292453
duke-breast-cancer (1) 1.8219128642632
fourclass (1) -1.2335576477601
german.numer (1) 0.25727859932503
iris-test (1) -0.13064142233039
BNG(autos,10000,10) (1) 0.22575706753672
BNG(lymph,1000,1) (1) -1.097197188734
BNG(lymph,1000,5) (1) -1.0037517388523
BNG(lymph,1000,10) (1) -0.95781081515071
BNG(lymph,5000,1) (1) -0.95258860214668
BNG(lymph,5000,5) (1) -1.0872390884462
BNG(lymph,5000,10) (1) -0.88490177902342
BNG(lymph,10000,1) (1) -0.94409636042292
BNG(lymph,10000,5) (1) -1.0845932729008
BNG(lymph,10000,10) (1) -1.0883106170229
KungChi3 (1) 6.1850022150118
KnuggetChase3 (1) 6.227916408239
MindCave2 (1) 8.3417228038087
a1a (1) 27.809966267479
a2a (1) 27.809966267479
a3a (1) 27.80996626748
a4a (1) 27.809966267479
a5a (1) 27.80996626748
a6a (1) 27.80996626748
a7a (1) 27.80996626748
a8a (1) 27.809966267479
a9a (1) 27.338286072007
MyIris (1) -0.9459091062275
physionet_asystole (1) 4.2856238707237
physionet_bradycardia (1) 1.4660117399299
physionet_tachycardia (1) 0.69259416605871
contact-lenses (1)
cpu.with.vendor (1) 15.888081384118
COMET_MC (2) 2.1072065697125
COMET_MC (1) 2.1072065697125
SensorDataResource (1) 2.0045926753279
IBO (1) -1.1693183574148
CoverType5percent (1) 1.0703229856681
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4793 (1) 4.5567241594742
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 2.9342181624234
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5430 (1) -0.26115488885023
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5330 (1) 0.65030277422995
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) -0.007491875553681
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5791 (1) 1.1673408083459
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5912 (1) -0.087854128938126
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5940 (1) -0.042713774581977
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5966 (1) 4.2860685701585
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5608 (1) 0.6700418714429
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 0.022980881107039
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 5.5129740719466
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6126 (1) -0.13784943472086
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6113 (1) 0.063109987646117
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6154 (1) 0.75391320207944
cjs (3) -0.17168516109705
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5198 (1) -0.094833971032455
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) -0.80434401208576
COMET_MC_SAMPLE (1) 3.5130724999249
COMET_MC_SAMPLE (2) 7.7136949089582
COMET_MC_SAMPLE (3) 3.2568474544791
COMET_MC_SAMPLE (4) 8.2261449998498
YAGO_Schema_KGE (1) 47.77893922338
yagoSchema.ttl (4) 35.417561647696
MiceProtein (1) 0.89296290095015
KEGGMetabolicReactionNetwork (1) 4.519594914627
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) 3.6016018105283
BachChoralHarmony (1) -0.044500260635062
TurkiyeStudentEvaluation (1) -0.87009757220451
SpokenArabicDigit (1) -0.12736180337754
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075252 (1) -0.88331428376465
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163122 (1) 2.019809859026
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) -0.17548155813336
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL281 (1) 1.2347883665805
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850 (1) 1.3185679638424
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL296 (1) -0.64258105237268
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL320 (1) 6.1495617040911
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4423 (1) 6.8034507280796
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4595 (1) -1.7990624666976
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 0.048267746839392
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4501 (1) 10.697872525791
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 4.3616141878863
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4516 (1) 1.4985159752128
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4620 (1) 3.8856400878787
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 0.13285776559609
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3802 (1) 1.4573651173235
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3932 (1) 0.69936779986343
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2069161 (1) 0.95294694520952
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) -0.6486334584316
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2461 (1) 0.62246675946063
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2490 (1) 7.7655041462395
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2517 (1) -0.31945044571207
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163106 (1) -0.040678875912666
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075115 (1) 0.70099156328488
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 2.2897745741385
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3511 (1) 3.4577396597511
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4748 (1) 1.2071646163792
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4835 (1) -0.35787077397882
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4849 (1) -0.055029346038181
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4860 (1) 13.646724825977
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 0.27807101417272
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) -0.10000767301416
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4009 (1) 1.6765368067631
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4022 (1) 1.2017369763091
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4065 (1) 0.36069830352525
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4080 (1) 22.444609843674
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4161 (1) 1.1530810252922
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4177 (1) 0.27589593816159
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 4.5082243445841
hiva_agnostic (1) 18.826036066382
vowel (3) -0.42609939747852
cocomo_numeric (1) 5.30848929873
humans_numeric (1) 5.899033331129
kc1-numeric (1) 8.4650618666802
cjs (2) -0.2459936487476
ESL (1) 0.026804432221569
SWD (1) -1.2205845668164
ERA (1) -1.0531242277245
SMSA (1) 2.8105700569659
Brainsize (1) -1.115155278578
Acorns (1) -0.14787467985852
Cereals (1) 1.3310876938593
ICU (1) 5.2718385205695
pubexpendat (1) -0.69277570017249
EgyptianSkulls (1) -0.072830900455902
ESL (2) 0.026804432221569
ada_prior (1) 3.7711427149509
visualizing_soil (1) -1.1797370969785
cloud (2) 0.9468976772629
BNG(anneal,1000,1) (1) -0.76748976978712
BNG(anneal,1000,5) (1) -1.1587206823979
BNG(anneal,1000,10) (1) -1.1138336609122
BNG(anneal,5000,1) (1) 0.3159155055235
BNG(anneal,5000,5) (1) -0.75850306983813
BNG(anneal,5000,10) (1) -0.91408688990713
BNG(anneal,10000,1) (1) 0.3626831281684
BNG(anneal,10000,5) (1) 0.22007110720725
BNG(anneal,10000,10) (1) -0.71981203475694
BNG(anneal.ORIG,1000,1) (1) -0.76531693810345
TAM_k_d (1) 2.4255288124589
eating (1) 2.1185830163573
Agrawal1 (1) -1.1889690075211
Stagger1 (1)
Stagger2 (1)
Stagger3 (1)
AirlinesCodrnaAdult (1) 4.6810952313863
BNG(anneal.ORIG,1000,5) (1) -1.0806836387226
BNG(anneal.ORIG,1000,10) (1) -1.1139329087549
BNG(anneal.ORIG,5000,1) (1) 1.4952762463899
BNG(anneal.ORIG,5000,5) (1) -0.75546529425233
BNG(anneal.ORIG,5000,10) (1) -1.0949656307676
BNG(anneal.ORIG,10000,1) (1) 2.3229804017948
BNG(anneal.ORIG,10000,5) (1) 0.044686636073608
BNG(anneal.ORIG,10000,10) (1) -0.73160721153368
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) 0.13825634047878
BNG(letter,1000,5) (1) 0.061228683107216
BNG(letter,1000,10) (1) 0.030073353861573
BNG(SPECT) (1)
BNG(SPECTF) (1) 2.0728708502944
BNG(mv) (1) -1.1850779073724
BNG(JapaneseVowels) (1) -0.45800578334591
Click_prediction_small (1) 2.5295949132249
Click_prediction_small (2) 2.502822015721
Click_prediction_small (3) 2.3059628314822
Click_prediction_small (4) 2.3290418955339
BNG(breastTumor) (1) -0.42560133962817
BNG(cpu_small) (1) 6.0472065074874
BNG(pwLinear) (1) -1.5132595545917
BNG(wine_quality) (1) 0.229551199481
BNG(Australian) (1) 0.1903114020495
BNG(satellite_image) (1) -0.5131643055723
BNG(Ailerons) (1) 9.0928388558199
BNG(libras_move) (1) -0.68101717610346
BNG(puma32H) (1) -1.195083641655
codrnaNorm (1) 1.9481686322072
vehicleNorm (1) 19.023309535229
lungcancer_shedden (1) 0.94095184005824
letter-challenge-unlabeled.arff (1) 0.88530443901289
letter-challenge-labeled.arff (1) 0.88530443901289
Click_prediction_small (7) 2.3290198103993
Click_prediction_small (6) 2.3290198103993
nki70.arff (1) 0.37095591386372
BNG(pbc) (1) 2.4350960625327
BNG(autoHorse) (1) 0.054374403986597
BNG(lowbwt) (1) -0.2230864671077
BNG(cholesterol) (1) 0.15896390624407
BNG(autoPrice) (1) 0.23488865846836
BNG(pharynx) (1) -0.036774125378618
BNG(2dplanes) (1) -1.5012845691313
BNG(elevators) (1) 1.950534144274
BNG(echoMonths) (1) 0.27206274766151
BNG(stock) (1) -1.0041799659388
fourclass_scale (1) -1.2335576477601
german.numer (2) 0.25727859932503
gisette (1) 10.220907236473
heart (1) -0.42068156265113
ijcnn (1) 5.1123579327896
rcv1.binary (1) 29239.233407353
real-sim (1) 4509.9919003299
splice (3) -1.2850751782054
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) -1.2869182252004
poker-hand (2) -1.286912812693
connect-4 (1) 10.99364336847
aloi (1) 53.223772653301
SensIT-Vehicle-Combined (1) 19.017233754775
poker (2) -1.2157139792675
SPECTF (2) 3.9474696942116
w1a (1) 38.859091253537
w2a (1) 38.859091253537
w3a (1) 38.859091253536
w4a (1) 38.859091253537
w5a (1) 38.859091253537
w6a (1) 38.859091253524
w7a (1) 38.859091253538
w8a (1) 38.98019022133
svmguide3 (1) 5.5221380252859
wisconsin (1) 1.7051897276357
vineyard (1) 0.57858911291262
bolts (1) -1.8237908961593
cpu_act (1) 22.197782628644
SEA(50) (1) -1.1970590230598
SEA(50000) (1) -1.1970380009317
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) 14.538954991146
sleep (1) 1.1724566666875
triazines (1) 5.2911663685481
detroit (1) -1.0028597627888
Hyperplane_10_1E-4 (1) -1.2004811447019
LED(50000) (1)
pokerhand (1) -0.35892816189091
RandomRBF_0_0 (1) 0.20010199616624
RandomRBF_10_1E-3 (1) 0.022236720436665
RandomRBF_10_1E-4 (1) 0.024404084091857
RandomRBF_50_1E-3 (1) -0.06091560313887
RandomRBF_50_1E-4 (1) -0.058101875690008
BNG(anneal,nominal,1000000) (1)
gascons (1) -0.90711025161493
elusage (1) -0.67873830233549
longley (1) -1.0720210580169
diabetes_numeric (1) 0.52122517851192
baskball (1) -0.35787420385687
2dplanes (1) -1.5009112668795
elevators (1) 2.8073513075806
house_8L (1) 5.9137195020621
BNG(waveform-5000) (1) -0.34893777930951
BNG(zoo) (1) -0.47943254842282
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) 3.4397421659432
covertype (3) 1.0577165705954
BNG(pendigits) (1) -0.77117865820898
BNG(cylinder-bands) (1) 0.37807174644958
BNG(dermatology) (1) -0.80375041723703
BNG(sonar) (1) 0.44783162181816
BNG(glass) (1) 1.4884199019592
BNG(heart-c) (1) 0.14482922704796
BNG(heart-statlog) (1) -0.43009818950011
BNG(vehicle) (1) -0.57998785608197
BNG(hepatitis) (1) 1.0301610606361
BNG(mfeat-karhunen) (1) -0.32682670247223
BNG(bridges_version1) (1) 1.1867254117251
BNG(mfeat-zernike) (1) 0.023982765584618
BNG(colic.ORIG) (1) 0.48830991745422
BNG(colic) (1) 0.39742215707382
BNG(credit-a) (1) 3.2235730941016
BNG(page-blocks) (1) 13.868015242666
BNG(credit-g) (1) 0.45233650473398
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) -1.0781155177003
hayes-roth_train (1) -0.34429721534687
bridges (1) 0.94629246463646
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) 0.92889594453725
SyskillWebert-BioMedical (1)
SyskillWebert-Sheep (1)
spect_test (1)
spect_train (1)
spectf_test (1) 3.9408332464201
spectf_train (1) 3.5184347985062
covertype (2) 39.474468641688
satellite_image (1) -0.67324234400046
Ailerons (1) 6.9858149875037
coil2000 (1) 6.8646638251307
libras_move (1) -0.70373106205247
cjs (1) -0.2459936487476
doherty (1) -1.1586647488927
chang (1) 4.2188757907563
qsabr2 (1) -0.0098032630869325
qsabr1 (1) 0.22382914655069
qsbr_rw1 (1) -1.2306505371561
prnn_crabs (1) -0.55888168426053
arsenic-male-bladder (1) 51.983003939082
iq_brain_size (1) -0.35489377808737
papir_2 (1) -0.2194861008857
hip (1) 1.1628688609158
tr31.wc (1) 277.03429981443
oh15.wc (1) 224.48848152134
new3s.wc (1) 2385.7489012795
qsbralks (1) 0.81735930475292
stevenson (1) 1.0832905795313
qsartox (1) -0.20321708929753
benzo32 (1) 0.99852869320994
uehling (1) 2.9759566304546
rosowky (1) -0.066468558863201
garrat (1) 6.6710085442166
detroit (2) -1.0028325365543
kidney (1) 0.10005196664129
bank32nh (1) -1.183232546794
bodyfat (1) 1.0615358688338
cpu (1) 15.888081384118
cpu_small (2) 19.421347429548
fried (1) -1.196749518935
meta (1) 2.2370603429155
kdd_coil_1 (1) 1.9459774219205
kdd_coil_2 (1) 4.0666026078627
auto93 (1) 0.38102490524769
kdd_coil_3 (1) 4.0666026078627
delta_elevators (2) 0.17043829690531
bank8FM (1) -1.1800353091565
cpu_act (2) 22.197782628644
house_16H (1) 14.165924381626
kdd_coil_4 (1) 4.0666026078627
kdd_coil_5 (1) 4.0666026078627
kdd_coil_6 (1) 4.0666026078627
kdd_coil_7 (1) 4.0666026078627
wind (1) 0.10789507386552
tecator (1) 0.66445128302101
space_ga (1) 0.69370206129303
nflpass (1) -0.35500098527281
places (1) 1.1980915722653
sleep (2) 1.0419192224344
pm10 (1) -0.037613952083937
pbc (2) 2.5875102077484
humandevel (1) -1.2295001108968
pollen (1) -0.15547870901963
boston (1) 0.49059031981856
arsenic-female-bladder (1) 50.729260239365
cps_85_wages (1) 0.22991327030136
arsenic-male-lung (1) 51.983003939082
houses (1) 4.9525241019915
socmob (1) 53.486947485713
pollution (1) 1.0119031571606
boston_corrected (1) 0.48794112224439
transplant (1) 4.3836463792409
lmpavw (1) 0.10511446192346
sensory (1) 0.065675565393938
no2 (1) -0.13448896125214
strikes (1) 0.096786724667362
plasma_retinol (1) 3.4730358523195
balloon (1) 25.032282124944
arsenic-female-lung (1) 45.142028634458
pbcseq (1) 2.6929121584521
newton_hema (1) 4.0865019586165
wind_correlations (1) 0.46972861289787
veteran (1) 6.3204650364942
us_crime (1) 1.5701382322491
mbagrade (1) -0.08586754481596
BNG(anneal) (1) 0.99341958401525
BNG(anneal.ORIG) (2) 1.182268096307
BNG(labor) (2) 1.753774294699
BNG(letter) (2) 0.14504131730511
BNG(autos) (1) 0.18014197967855
BNG(lymph) (1) 0.35637186720964
BNG(mfeat-fourier) (1) -0.25087992094015
chembl1075021test1 (1) 35
mv (1) -1.1930894136383
aids (1) 4.5795333179328
ozone_level (1) 29.830511317867
puma32H (1) -1.1963140407244
wine_quality (1) 3.5923221824674
bridges (3) 0.94629246463646
bridges (4)
la2s.wc (1) 610.99661746876
oh5.wc (1) 225.73854435493
re1.wc (1) 327.3937221759
la1s.wc (1) 701.00271626267
wap.wc (1) 307.99333173271
ohscal.wc (1) 2452.0755281673
selwood (1) 1.743134162296
svensson (1) 2.6668704110307
penning (1) 3.7158335775001
qsfsr1 (1) 0.34065909327796
qsfrdhla (1) -0.59073585148085
qsprcmpx (1) -0.56600050615692
qsfsr2 (1) 0.19678558385999
mtp2 (1) 14.939522680269
yokohoma2 (1) 1.0286735800871
heyl (1) 5.8954168659144
yokohoma1 (1) 3.2231676596552
mtp (1) 4.15332313548
qsbr_y2 (1) 1.3298436122443
krystek (1) 1.5860185518727
depreux (1) 15.938006248893
pdgfr (1) 1.6310092788897
carbolenes (1) 0.51286668572856
rsctc2010_3 (1) 0.044611583418166
rsctc2010_4 (1) 0.74032629615342
rsctc2010_5 (1) 0.28941576395146
rsctc2010_6 (1) 0.18430148339486
rsctc2010_1 (1) 0.9737073802317
rsctc2010_2 (1) 0.9737073802317
ASP-POTASSCO-regression (1) 25.799881714227
ASP-POTASSCO-classification (1) 25.911501351566
MIP-2016-PAR10-regression (1) 122.95784461431
MIP-2016-PAR10-classification (1) 125.33756633887
employee_salaries (14) 1.524914293886
Football_players_Fifa_stats (1) 0.24639710155554
visualizing_ethanol (1) -1.2689227965298
chscase_geyser1 (1) -1.1917980395126
LEV (1) -1.1121351682074
FacultySalaries (1) -0.23207832175231
MIP-2016-regression (1) 122.95784461431
MIP-2016-classification (1) 125.27124146698
rabe_166 (1) -1.2126920502399
rmftsa_ctoarrivals (1) -0.71452872700723
sleuth_ex1605 (1) 0.074257187054699
chscase_vine2 (1) -1.20088638623
visualizing_galaxy (1) -0.82324304835409
chscase_vine1 (1) -0.48160393766636
rabe_131 (1) -0.87249156591153
chatfield_4 (1) 0.71054067350705
hutsof99_child_witness (1) -0.49557942239698
rabe_97 (1) -0.7845888566928
rabe_176 (1) -0.23488125337929
sleuth_ex1221 (1) 1.9089683211834
chscase_foot (1) -1.3867431241108
chscase_health (1) -0.39916157051917
visualizing_hamster (1) -0.27731872781864
rabe_148 (1) 6.1626376745744
chscase_census3 (1) 0.17817787566156
chscase_census2 (1) 0.95805348378927
chscase_demand (1) -1.0965528050989
visualizing_environmental (1) -0.14652503622869
chscase_funds (1) -0.10239594763932
hutsof99_logis (1) -0.36169947852642
Premier_League_matches (1) 0.079103042976368
Premier_League_odds_and_prob (1) -0.078393909200352
OVA_Uterus (1) 12.575327746761
OVA_Omentum (1) 12.575327746761
AP_Ovary_Lung (1) 8.0789481770217
AP_Endometrium_Prostate (1) 3.6768215346066
OVA_Endometrium (1) 12.575327746761
AP_Colon_Omentum (1) 5.2711169903697
AP_Endometrium_Breast (1) 8.4729910137816
AP_Omentum_Uterus (1) 5.806545858253
AP_Omentum_Prostate (1) 4.2809964612244
AP_Colon_Lung (1) 5.8292452932932
AP_Breast_Omentum (1) 8.4962479288728
AP_Endometrium_Colon (1) 4.7877452959498
OVA_Kidney (1) 12.575327746761
AP_Colon_Prostate (1) 4.0868630697605
AP_Lung_Uterus (1) 6.5741250802593
AP_Colon_Kidney (1) 5.3656585942938
OVA_Breast (1) 12.575327746761
AP_Uterus_Kidney (1) 6.9167199457848
OVA_Lung (1) 12.575327746761
AP_Prostate_Uterus (1) 5.0909412237356
AP_Omentum_Lung (1) 6.1372891368649
AP_Prostate_Kidney (1) 5.4153979709574
AP_Breast_Colon (1) 7.4921928979296
OVA_Prostate (1) 12.575327746761
AP_Omentum_Kidney (1) 6.9100069788328
AP_Breast_Prostate (1) 7.9695460061187
fri_c4_100_100 (1) -1.1833789880386
fri_c0_250_25 (1) -1.2199787462086
fri_c0_500_10 (1) -1.1784908776668
fri_c2_100_25 (1) -1.1701515080845
fri_c1_100_5 (1) -0.84822617296169
fri_c2_250_10 (1) -1.1690043648703
fri_c3_250_25 (1) -1.1645501851239
emotions (4) 1.8567897641368
fri_c3_500_50 (1) -1.2084527477287
fri_c3_500_10 (1) -1.1278713380974
fri_c1_250_10 (1) -1.1998352392327
fri_c1_250_50 (1) -1.1790698038292
fri_c0_500_5 (1) -1.183392039553
fri_c0_500_50 (1) -1.1927892201483
fri_c0_100_25 (1) -1.1629016405872
fri_c0_250_5 (1) -1.1551340616287
fri_c4_250_100 (1) -1.1954781815878
fri_c3_500_25 (1) -1.1785448967081
fri_c1_500_25 (1) -1.2077733321547
fri_c1_1000_50 (1) -1.1924378627569
fri_c4_500_25 (1) -1.174769718784
AP_Breast_Kidney (1) 9.2526720836132
AP_Endometrium_Ovary (1) 7.0879660256485
AP_Colon_Uterus (1) 5.6693434761616
OVA_Colon (1) 12.575327746761
AP_Ovary_Uterus (1) 7.8365377481957
AP_Lung_Kidney (1) 7.5391710767836
AP_Prostate_Ovary (1) 6.7979209285359
AP_Colon_Ovary (1) 7.3181060518573
AP_Endometrium_Lung (1) 5.8632415094761
AP_Prostate_Lung (1) 5.1358671967577
AP_Omentum_Ovary (1) 7.0251157410289
AP_Endometrium_Kidney (1) 6.2364037783717
AP_Breast_Uterus (1) 8.804835628446
AP_Ovary_Kidney (1) 8.2707208664882
AP_Breast_Lung (1) 9.4762497522828
AP_Endometrium_Omentum (1) 4.7232343113772
AP_Endometrium_Uterus (1) 5.323300285052
AP_Breast_Ovary (1) 10.237479781314
MeanWhile1 (1) 3.5526519713357
yeast (5) 5.0232311282805
yeast (6) 5.0232311282805
allhyper (1) -0.80471252372599
auto (1) -0.21520528312426
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (1)
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (1)
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (1)
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (1)
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (1)
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (1)
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (2)
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (2)
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (2)
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (2)
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (2)
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (2)
agaricus-lepiota (1) -1.2842741431546
analcatdata_fraud (1)
xd6 (1)
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (3)
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (3)
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (3)
breast (1) 130.55440346512
cars1 (1) -0.64714137514731
calendarDOW (1) 1.2866069998946
car-evaluation (1)
clean1 (1) -0.42718912711355
clean2 (1) -0.52081152999594
corral (1)
Titanic (2) -0.042874463739528
tokyo1 (1) 6.4459243916223
parity5_plus_5 (1)
allbp (1) -0.80489240628802
allrep (1) -0.80489240628802
analcatdata_happiness (1) 0.37520284746389
cleve (1) 0.92905405283698
ecoli (3) -0.32604779075348
fars (1) 2.5171124803105
glass2 (1) 3.2864113141219
hypothyroid (3) -0.74589360790458
led24 (1)
led7 (1)
magic (1) 2.6991261168547
mofn-3-7-10 (1)
cleveland-nominal (1)
crx (1) 2.2740218868907
dis (1) -0.80489240628802
parity5 (1)
pima (1) 1.9668008946784
mux6 (1)
thyroid-new (1) 11.518667708411
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
NPSdecay (1) -0.91807852621091
qType_2prev (1) 12128.606006113
qType_5prev (1) 23133.581591599
qType_30prev (1) 75315.943452276
MNIST (1) 15.947340184766
convex (1) -1.7734343906891
mnist_rotation (1) -1.0198255698435
secom (1) 15.659482215257
CF-metadataset (1) 4.8492117821337
CF-metadataset-nmae (1) 4.8492117821337
USPS (1) -0.69776621613962
Breast_Cancer (1)
sylva_agnostic (2) 1.0223100136165
ada_agnostic (2) 3.7706354073744
climate-model-simulation-chrashes (1) -1.2000381409548
jungle_chess_2pcs_endgame_panther_lion (1) -1.0227099960329
jungle_chess_2pcs_endgame_panther_lion (2) -1.0227099960329
jungle_chess_2pcs_endgame_elephant_elephant (1) -1.303523347514
jungle_chess_2pcs_endgame_panther_elephant (1) -1.3039028785512
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) 26.852721056336