Measure

Quartile2SkewnessOfNumericAtts

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

Value per dataset

yeast_gene (1) -0.13356642910745
robot-failures-lp2 (1) 0.29603793925422
robot-failures-lp3 (1) 0.29603793925422
ldpa (1) 1.1975224828816E-5
gas-drift-different-concentrations (1) 1.297972424728
skin-segmentation (1) -0.34265654767036
spoken-arabic-digit (1) -0.072853084176336
walking-activity (1) 0.38839654523853
mouseType (1) 0.28495705928856
BurkittLymphoma (1) 0.27195834575815
anthracyclineTaxaneChemotherapy (1) 0.25872808747807
ovarianTumour (1) 0.4360921712788
hepatitisC (1) 0.4360921712788
variousCancers_final (1) -0.11706820857818
USCrime (1) 0.85200848234771
MercuryinBass (1) 1.0130788762976
diggle_table_a1 (1) -0.02750372585343
disclosure_z (1) 0.36612508822228
visualizing_slope (1) 0.46271626828294
disclosure_x_tampered (1) 0.25509358603479
disclosure_x_noise (1) 0.23265003516677
sleuth_case1202 (1) 0.59886179957116
sleuth_case1201 (1) -0.061692827241448
disclosure_x_bias (1) 0.37136940199154
sleuth_case1102 (1) 0.56673260014374
sleuth_case2002 (1) -0.69654873924347
rmftsa_ladata (1) 0.78924340127714
witmer_census_1980 (1) -0.12154207824903
garrat2 (1) 2.38500450355
Phen (1) -0.34596747688142
siddiqi (1) 1.5263231949531
lewis (1) 1.324769235628
thompson (1) 0.88854090135517
yprop_4_1 (1) 8.288721115832
tsutumi (1) 1.0977468438634
strupcz (1) 1.6351509999489
PHENETYL1 (1) 0.26323527560425
cristalli (1) 1.6317899156313
qqdefects_numeric (1) 1.7037868306574
nasa_numeric (1) 1.9268503522895
KDDCup99 (1) 6.8571615095649
gina_prior (1) 3.1769964001912
BNG(spectf_test) (1) -1.39292303912
BNG(adult) (1) 0.35661826571194
BNG(satimage) (1) -0.038124552208854
BNG(baseball) (1) 0.90353532215498
BNG(wisconsin) (1) 0.84847717909631
BNG(cleveland) (1) 0.7594944996509
BNG(auto_price) (1) 0.76218347773124
BNG(cpu_act) (1) 2.5144742398184
Goteborg_52 (1) 0.10339539512086
BNG(primary-tumor) (1)
BNG(solar-flare) (1)
BNG(solar-flare) (1)
BNG(spect_test) (1)
Dorothea (1) 12.71666535071
NELL (1)
KDD98 (1) 1.9861559741042
sulfur (1) -0.10455924698569
debutanizer (1) -0.22867751698055
BNG(letter,5000,1) (1) 0.21703294377635
BNG(letter,5000,5) (1) 0.22461730872692
BNG(letter,5000,10) (1) 0.22382577357586
BNG(letter,10000,1) (1) 0.21612716741246
BNG(letter,10000,5) (1) 0.22173710469543
BNG(letter,10000,10) (1) 0.22469073958803
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) 0.65594337433355
BNG(autos,1000,5) (1) 0.66045775160977
BNG(autos,1000,10) (1) 0.65689662806122
BNG(autos,5000,1) (1) 0.67217693208491
BNG(autos,5000,5) (1) 0.65629241617346
BNG(autos,5000,10) (1) 0.65913052651048
BNG(autos,10000,1) (1) 0.68586402133159
BNG(autos,10000,5) (1) 0.65420753768522
appendicitis (1) 0.20576966206913
arcene (1) 1.6850627829295
artificial-characters (1) 0.71066092449367
colon-cancer (1) -0.27158349338885
svmguide1 (1) -0.076193377377918
duke-breast-cancer (1) 0.71820278911039
fourclass (1) 0.066803538815582
german.numer (1) 1.0166768767423
iris-test (1) 0.32448187922473
BNG(autos,10000,10) (1) 0.65630021699311
BNG(lymph,1000,5) (1) 0.56651783643463
BNG(lymph,1000,10) (1) 0.58980021950572
BNG(lymph,5000,1) (1) 0.59559979601342
BNG(lymph,5000,5) (1) 0.77103045816353
BNG(lymph,5000,10) (1) 0.70075768293042
BNG(lymph,10000,1) (1) 0.55301715350448
BNG(lymph,10000,5) (1) 0.83164505569941
BNG(lymph,10000,10) (1) 0.77820476493773
KungChi3 (1) 2.3173562809876
KnuggetChase3 (1) 2.2251228930554
MindCave2 (1) 2.6912790738465
a1a (1) 5.4596937475649
a2a (1) 5.4596937475649
a3a (1) 5.459693747565
a4a (1) 5.4596937475651
a5a (1) 5.459693747565
a6a (1) 5.459693747565
a7a (1) 5.459693747565
a8a (1) 5.4596937475648
a9a (1) 5.4163665731193
MyIris (1) 0.10495719724642
physionet_asystole (1) 2.0750027192894
physionet_bradycardia (1) 0.26554437391687
physionet_tachycardia (1) -0.56527220400825
contact-lenses (1)
cpu.with.vendor (1) 3.5159334480402
COMET_MC (2) 2.009195831486
COMET_MC (1) 2.009195831486
IBO (1) 0.059291379617469
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 1.0733839010584
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 0.12045883227842
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 0.30377420868532
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 0.73471571533621
cjs (3) 0.71955856113884
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 0.57728609296321
COMET_MC_SAMPLE (1) 1.5127057601746
COMET_MC_SAMPLE (4) 3.0254115203492
MiceProtein (1) 0.45894985524933
KEGGMetabolicReactionNetwork (1) 1.923090475224
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 0.38159106574008
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 0.34033370917188
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 1.2782494807574
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 0.51708576233608
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) -0.39017669451675
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3309 (1) 1.1907130674521
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 0.36303901323902
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5081 (1) 0.36759059718083
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 1.3150174759583
hiva_agnostic (1) 4.5625796415196
vowel (3) 0.060133853139576
cocomo_numeric (1) 2.3057191681222
humans_numeric (1) 2.3947944434789
kc1-numeric (1) 2.4027666040698
cjs (2) 0.71892868183925
ESL (1) -0.19041124624309
SWD (1) 0.017563786486308
ERA (1) 0.27347927013263
SMSA (1) 1.0685611008328
Brainsize (1) 0.1044976474708
Acorns (1) 0.94742086728083
Cereals (1) 0.30985666644682
ICU (1) 2.6868602482505
pubexpendat (1) 0.16352674283454
EgyptianSkulls (1) -0.028660373150713
ESL (2) -0.19041124624309
ada_prior (1) 0.99371197611977
visualizing_soil (1) 0.25852534337303
cloud (2) 1.1169198089217
BNG(anneal,1000,1) (1) 0.96278809825266
BNG(anneal,1000,5) (1) 0.40249550443089
BNG(anneal,1000,10) (1) 0.2245709490725
BNG(anneal,5000,1) (1) 1.2369352127233
BNG(anneal,5000,5) (1) 0.96718696922868
BNG(anneal,5000,10) (1) 0.80511727635145
BNG(anneal,10000,1) (1) 1.2449849364287
BNG(anneal,10000,5) (1) 1.2688083574271
BNG(anneal,10000,10) (1) 0.98660818704229
BNG(anneal.ORIG,1000,1) (1) 0.83939486586811
TAM_k_d (1) 1.9663850293333
eating (1) 0.75695913244782
Agrawal1 (1) -0.00092692333662906
Stagger1 (1)
Stagger2 (1)
Stagger3 (1)
AirlinesCodrnaAdult (1) 0.58459823831362
BNG(anneal.ORIG,1000,5) (1) 0.53238713337469
BNG(anneal.ORIG,1000,10) (1) 0.30291215860419
BNG(anneal.ORIG,5000,1) (1) 1.6266040717069
BNG(anneal.ORIG,5000,5) (1) 0.84654518907117
BNG(anneal.ORIG,5000,10) (1) 0.52227934866188
BNG(anneal.ORIG,10000,1) (1) 1.8295263030519
BNG(anneal.ORIG,10000,5) (1) 1.2125469835026
BNG(anneal.ORIG,10000,10) (1) 0.86479333739398
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) 0.22456254266777
BNG(letter,1000,5) (1) 0.22075967266504
BNG(letter,1000,10) (1) 0.21975479167902
BNG(SPECT) (1)
BNG(SPECTF) (1) -1.4140020644001
BNG(mv) (1) -0.0068518731248384
BNG(JapaneseVowels) (1) 0.077077112707804
Click_prediction_small (1) 1.8100846631752
Click_prediction_small (2) 1.8074445703359
Click_prediction_small (3) 1.7561889477595
Click_prediction_small (4) 1.7622980648215
BNG(breastTumor) (1) 0.028281552390116
BNG(cpu_small) (1) 2.1193619725505
BNG(pwLinear) (1) 0.031220676852185
BNG(wine_quality) (1) 0.62529237343545
BNG(Australian) (1) 0.42734414845495
BNG(satellite_image) (1) 0.016232035376587
BNG(Ailerons) (1) 0.1380775705241
BNG(libras_move) (1) -0.25859511825451
BNG(puma32H) (1) -0.0030399554786696
codrnaNorm (1) 0.89184577024803
vehicleNorm (1) 3.3055355199874
lungcancer_shedden (1) 0.63950931526169
letter-challenge-unlabeled.arff (1) 0.25433458793987
letter-challenge-labeled.arff (1) 0.25433458793987
Click_prediction_small (7) 1.7622947562137
Click_prediction_small (6) 1.7622947562137
nki70.arff (1) 0.17611922574876
BNG(pbc) (1) 1.4769851150372
BNG(autoHorse) (1) 0.65934394664465
BNG(lowbwt) (1) 0.62257995007459
BNG(cholesterol) (1) 0.75900795914934
BNG(autoPrice) (1) 0.64397305199542
BNG(pharynx) (1) 0.52564176483196
BNG(2dplanes) (1) -0.0065621770914195
BNG(elevators) (1) -0.076381306359352
BNG(echoMonths) (1) 0.63061978365587
BNG(stock) (1) -0.041937458546042
fourclass_scale (1) 0.066803538815582
german.numer (2) 1.0166768767423
gisette (1) 3.4146371676885
heart (1) 0.41520948252915
ijcnn (1) 0.90027764831453
rcv1.binary (1) 161.15344108437
real-sim (1) 62.689841715757
splice (3) -0.018444719426694
dbworld-bodies-stemmed (1)
dbworld-bodies (1)
dbworld-subjects-stemmed (1)
dbworld-subjects (1)
poker-hand (1) -0.00044446318082369
poker-hand (2) -0.00043492712488548
connect-4 (1) 1.935719503358
aloi (1) 6.4565976685535
SensIT-Vehicle-Combined (1) 3.3025510909065
poker (2) -0.00037950259018095
SPECTF (2) -1.660039492972
w1a (1) 6.3919894437668
w2a (1) 6.3919894437663
w3a (1) 6.3919894437662
w4a (1) 6.3919894437689
w5a (1) 6.3919894437698
w6a (1) 6.3919894437702
w7a (1) 6.3919894437708
w8a (1) 6.401483052441
svmguide3 (1) 1.4824670704394
wisconsin (1) 0.98923763755078
vineyard (1) -0.66078256403054
bolts (1) 0
cpu_act (1) 3.9860013108552
SEA(50) (1) -0.0010433532145992
SEA(50000) (1) -0.0010523153607696
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) 3.67256487881
sleep (1) 1.1815182423966
triazines (1) 2.5708210107827
detroit (1) 0.27766822843268
Hyperplane_10_1E-4 (1) -0.00050652633333914
LED(50000) (1)
pokerhand (1) 0.0025131734678576
RandomRBF_0_0 (1) 0.008757126445979
RandomRBF_10_1E-3 (1) -0.0027390993660738
RandomRBF_10_1E-4 (1) -0.0026707715371359
RandomRBF_50_1E-3 (1) -0.0034515798810501
RandomRBF_50_1E-4 (1) -0.021246624251899
BNG(anneal,nominal,1000000) (1)
gascons (1) 0
elusage (1) 0.40924044040573
longley (1) 0
diabetes_numeric (1) -0.51094063453029
baskball (1) 0.31598479142442
2dplanes (1) -0.0044627196054044
elevators (1) -0.10196650556752
house_8L (1) 1.5506980763823
BNG(waveform-5000) (1) 0.011279607930444
BNG(zoo) (1) 0.29657249384923
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) 0.31901975272089
covertype (3) 0.55815354924201
BNG(pendigits) (1) 0.085402518948681
BNG(cylinder-bands) (1) 0.36983572694246
BNG(dermatology) (1) 0.087688139091471
BNG(sonar) (1) 0.88011019424069
BNG(glass) (1) 1.3389534184359
BNG(heart-c) (1) 0.69610260297356
BNG(vehicle) (1) 0.49201063441715
BNG(hepatitis) (1) 0.89813986262696
BNG(mfeat-karhunen) (1) -0.022362978787213
BNG(bridges_version1) (1) 1.3966241006737
BNG(mfeat-zernike) (1) 0.73673926227844
BNG(colic.ORIG) (1) 0.86591157057708
BNG(colic) (1) 0.83414794300069
BNG(credit-a) (1) 1.7803984198041
BNG(page-blocks) (1) 2.1902472916553
BNG(credit-g) (1) 1.0252047874383
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) 0.18104870125017
hayes-roth_train (1) 0.7466455482245
bridges (1) 1.2763291786122
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) 1.2444913076547
SyskillWebert-BioMedical (1)
SyskillWebert-Sheep (1)
spect_test (1)
spect_train (1)
spectf_test (1) -1.6558537716077
spectf_train (1) -1.6151915978399
covertype (2) 6.4374349210437
satellite_image (1) 0.022399580927528
Ailerons (1) 0.10726125776329
coil2000 (1) 1.7415196427237
libras_move (1) -0.23647476938909
cjs (1) 0.71892868183925
doherty (1) 0.93094445795937
chang (1) 1.099287336994
qsabr2 (1) 0.068000384735654
qsabr1 (1) 0.27694882280415
qsbr_rw1 (1) 0.030779060840701
prnn_crabs (1) 0.0054915198117556
arsenic-male-bladder (1) 5.0337154377993
iq_brain_size (1) 0.7949705463633
papir_2 (1) -0.065626240113349
hip (1) -0.86171249528403
tr31.wc (1) 15.590054773558
oh15.wc (1) 14.470461920449
new3s.wc (1) 46.245857469136
qsbralks (1) 0.30628058933655
stevenson (1) 1.2449672108798
qsartox (1) 0.22028228808962
benzo32 (1) 0.10262037452787
uehling (1) 1.3678779094972
rosowky (1) 0.404647804986
garrat (1) 1.8170978419464
detroit (2) 0.27774856234451
kidney (1) 0.44220067458255
bank32nh (1) 0.015898123812881
bodyfat (1) 0.51674399487591
cpu (1) 3.5159334480402
cpu_small (2) 3.8480246018594
meta (1) 1.8469610202949
kdd_coil_1 (1) 1.4556967366783
kdd_coil_2 (1) 2.0360187972799
auto93 (1) 0.22956577320617
kdd_coil_3 (1) 2.0360187972799
delta_elevators (2) -0.058976735261626
bank8FM (1) 0.017337699776888
cpu_act (2) 3.9860013108552
house_16H (1) 2.6140528738839
kdd_coil_4 (1) 2.0360187972799
kdd_coil_5 (1) 2.0360187972799
kdd_coil_6 (1) 2.0360187972799
kdd_coil_7 (1) 2.0360187972799
wind (1) 0.54593160086554
tecator (1) 0.82203643262402
space_ga (1) 0.33928592046844
nflpass (1) 0.40974503390196
places (1) 0.71215537280031
sleep (2) 1.0661298579593
pm10 (1) -0.045462444000947
pbc (2) 1.0381473419799
humandevel (1) -0.17519423451578
pollen (1) 0.072190027693973
boston (1) 0.69963193216494
arsenic-female-bladder (1) 5.059360389912
cps_85_wages (1) 0.61802753437289
arsenic-male-lung (1) 5.0337154377993
houses (1) 1.6466567021344
socmob (1) 5.8143495513491
pollution (1) 0.1871069882178
boston_corrected (1) 0.40361213328874
transplant (1) 1.8264344839895
lmpavw (1) -0.14609109787211
sensory (1) -0.040489644161149
no2 (1) 0.036880577201391
strikes (1) 0.076132705193428
plasma_retinol (1) 1.4800546899219
balloon (1) -3.7867422580647
arsenic-female-lung (1) 4.8750862499756
pbcseq (1) 0.87093795014943
newton_hema (1) 1.3651529005624
wind_correlations (1) 0.17528997734947
veteran (1) 1.3906009531659
us_crime (1) 1.0976639342481
mbagrade (1) -0.057590016893579
BNG(anneal) (1) 1.462901888327
BNG(anneal.ORIG) (2) 1.5129572065603
BNG(labor) (2) 0.30874061033203
BNG(letter) (2) 0.21103074702937
BNG(autos) (1) 0.71607442857735
BNG(lymph) (1) 1.1757992520419
BNG(mfeat-fourier) (1) 0.50778060789521
chembl1075021test1 (1) 3.9888643449331
mv (1) -0.0029791970246714
aids (1) 2.1799995968073
ozone_level (1) 5.6397682836189
puma32H (1) -0.0047599825843516
wine_quality (1) 0.89289190158251
bridges (3) 1.2763291786122
bridges (4)
la2s.wc (1) 24.501644625692
oh5.wc (1) 14.510458451244
re1.wc (1) 17.757894585421
la1s.wc (1) 25.266563931221
wap.wc (1) 17.41809407436
ohscal.wc (1) 47.184286876895
selwood (1) -0.21658394170965
svensson (1) 0.87412093752672
penning (1) 1.804351443355
qsfsr1 (1) 0.33294475183342
qsfrdhla (1) 0.2131624493225
qsprcmpx (1) 0.27766874224843
qsfsr2 (1) 0.1658137770065
mtp2 (1) 2.6287248781478
yokohoma2 (1) 0.8569358635625
heyl (1) 1.9249067141961
yokohoma1 (1) 1.2645749812205
mtp (1) 1.1527963443435
qsbr_y2 (1) -0.28255173848933
krystek (1) 0.78446561009825
depreux (1) 3.3543938847893
pdgfr (1) 0.47766420418412
carbolenes (1) 0.38347166925593
rsctc2010_3 (1) -0.32858091677956
rsctc2010_4 (1) 0.70863115813886
rsctc2010_5 (1) -0.21490027737724
rsctc2010_6 (1) 0.28589897597858
rsctc2010_1 (1) 0.32558217655413
rsctc2010_2 (1) 0.32558217655413
ASP-POTASSCO-regression (1) 4.3963501117858
ASP-POTASSCO-classification (1) 4.4017949579884
MIP-2016-PAR10-regression (1) 5.5663008107269
MIP-2016-PAR10-classification (1) 5.6537588010175
employee_salaries (14) 0.7337762618323
Football_players_Fifa_stats (1) -0.50519719261903
visualizing_ethanol (1) 0.26451022858381
chscase_geyser1 (1) -0.48551677520382
LEV (1) -0.015683735707154
FacultySalaries (1) 1.0119131309686
MIP-2016-regression (1) 5.5663008107269
MIP-2016-classification (1) 5.597224695404
rabe_166 (1) 0.049472210390295
rmftsa_ctoarrivals (1) 0.44108590474447
sleuth_ex1605 (1) -0.18860637229392
chscase_vine2 (1) 0
visualizing_galaxy (1) 0.014745608340756
chscase_vine1 (1) -0.027024035702473
rabe_131 (1) 0.028376752222881
chatfield_4 (1) 1.0514283815071
hutsof99_child_witness (1) -0.077598257422031
rabe_97 (1) 0.5189315023767
rabe_176 (1) -0.014701456643535
sleuth_ex1221 (1) 1.3331796069052
chscase_foot (1) -0.0081145010991195
chscase_health (1) -0.079835482123242
visualizing_hamster (1) 0.3894461166703
rabe_148 (1) -0.90232245100532
chscase_census3 (1) 0.059207879359948
chscase_census2 (1) 0.74510186511058
chscase_demand (1) 0.66804935317714
visualizing_environmental (1) 0.11588341931239
chscase_funds (1) 0.25981351657154
hutsof99_logis (1) 0.22167106289961
Premier_League_matches (1) 0.07949080415117
Premier_League_odds_and_prob (1) 0.73205196327608
OVA_Uterus (1) 2.5805488911462
OVA_Omentum (1) 2.5805488911462
AP_Ovary_Lung (1) 2.1727733693963
AP_Endometrium_Prostate (1) 1.5614357960517
OVA_Endometrium (1) 2.5805488911462
AP_Colon_Omentum (1) 1.6979194972668
AP_Endometrium_Breast (1) 2.1939219501406
AP_Omentum_Uterus (1) 1.8891391573672
AP_Omentum_Prostate (1) 1.6947398466967
AP_Colon_Lung (1) 1.7643555717041
AP_Breast_Omentum (1) 2.1812009653597
AP_Endometrium_Colon (1) 1.6082360238902
OVA_Kidney (1) 2.5805488911462
AP_Colon_Prostate (1) 1.513884997666
AP_Lung_Uterus (1) 1.9923878258817
AP_Colon_Kidney (1) 1.7522122519847
OVA_Breast (1) 2.5805488911462
AP_Uterus_Kidney (1) 2.0247015059566
OVA_Lung (1) 2.5805488911462
AP_Prostate_Uterus (1) 1.7881196505038
AP_Omentum_Lung (1) 1.9609680153604
AP_Prostate_Kidney (1) 1.8142235786949
AP_Breast_Colon (1) 2.0121109065423
OVA_Prostate (1) 2.5805488911462
AP_Omentum_Kidney (1) 2.029501369068
AP_Breast_Prostate (1) 2.1526804252679
fri_c4_100_100 (1) 0.013807242645679
fri_c0_250_25 (1) -0.032261511605132
fri_c0_500_10 (1) -0.032294599067938
fri_c2_100_25 (1) 0.0094044397108537
fri_c1_100_5 (1) 0.18430153366492
fri_c2_250_10 (1) 0.010853722839228
fri_c3_250_25 (1) 0.03528936726826
emotions (4) 0.93770152343035
fri_c3_500_50 (1) 0.022919593518948
fri_c3_500_10 (1) -0.024882113127473
fri_c1_250_10 (1) 0.015608898536254
fri_c1_250_50 (1) -0.015121584795932
fri_c0_500_5 (1) 0.012591023829995
fri_c0_500_50 (1) 0.014827594408197
fri_c0_100_25 (1) -0.014616182946103
fri_c0_250_5 (1) -0.046061306724663
fri_c4_250_100 (1) 0.0010625523796532
fri_c3_500_25 (1) -0.0085161154983645
fri_c1_500_25 (1) 0.014939757845723
fri_c1_1000_50 (1) -0.0011553406401974
fri_c4_500_25 (1) 0.01598404583807
AP_Breast_Kidney (1) 2.297003351309
AP_Endometrium_Ovary (1) 2.0540113266848
AP_Colon_Uterus (1) 1.7548116743975
OVA_Colon (1) 2.5805488911462
AP_Ovary_Uterus (1) 2.1430854119256
AP_Lung_Kidney (1) 2.1055415216146
AP_Prostate_Ovary (1) 2.0505447727823
AP_Colon_Ovary (1) 1.98595606842
AP_Endometrium_Lung (1) 1.9074499847292
AP_Prostate_Lung (1) 1.8058061969402
AP_Omentum_Ovary (1) 2.0567563173716
AP_Endometrium_Kidney (1) 1.9211438566389
AP_Breast_Uterus (1) 2.2279401825889
AP_Ovary_Kidney (1) 2.2094858540352
AP_Breast_Lung (1) 2.3090613976319
AP_Endometrium_Omentum (1) 1.7479558713492
AP_Endometrium_Uterus (1) 1.796196573948
AP_Breast_Ovary (1) 2.3936647394501
MeanWhile1 (1) 1.7348151206044
yeast (5) 1.0262804386701
yeast (6) 1.0262804386701
allhyper (1) 0.31915692393017
auto (1) 0.19155201787222
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) 0.060919708430376
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) 7.8709546834168
cars1 (1) 0.48833899855812
calendarDOW (1) -1.53392907058
car-evaluation (1)
clean1 (1) -0.056101412220174
clean2 (1) 0.085464614750392
corral (1)
Titanic (2) -0.70294658174137
tokyo1 (1) 2.513040430443
parity5_plus_5 (1)
allbp (1) 0.31890632824458
allrep (1) 0.31890632824458
analcatdata_happiness (1) 1.0680641879104
cleve (1) 0.71376843791815
ecoli (3) 0.36075340516338
fars (1) 0.74853475258767
glass2 (1) -0.37941930825579
hypothyroid (3) 0.22649485879222
led24 (1)
led7 (1)
magic (1) 0.58579153987437
mofn-3-7-10 (1)
cleveland-nominal (1)
crx (1) 1.4888131246649
dis (1) 0.31890632824458
parity5 (1)
pima (1) 0.53771374047187
mux6 (1)
thyroid-new (1) 3.0084182452626
postoperative-patient-data (3)
solar-flare (3)
solar-flare (4)
threeOf9 (1)
NPSdecay (1) 0.55966608693835
qType_2prev (1) 99.319257544315
qType_5prev (1) 140.08993845249
qType_30prev (1) 246.68061938171
MNIST (1) 4.1118547641504
convex (1) 0.47605331992348
mnist_rotation (1) 0.097007230440128
secom (1) 2.1268719278549
CF-metadataset (1) 1.8960118993809
CF-metadataset-nmae (1) 1.8960118993809
USPS (1) 0.80072346654638
Breast_Cancer (1)
sylva_agnostic (2) 0.5595082377506
ada_agnostic (2) 0.99354952409375
climate-model-simulation-chrashes (1) -5.9867048789727E-5
jungle_chess_2pcs_endgame_panther_lion (1) 0.17373706189263
jungle_chess_2pcs_endgame_panther_lion (2) 0.17373706189263
jungle_chess_2pcs_endgame_elephant_elephant (1) 0.0062354264841393
jungle_chess_2pcs_endgame_panther_elephant (1) 0.0062183755256612
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) 4.1032947532496
Moneyball (2) 0.054330043277629
orcid (1) 1.1946879906355
food-truck-test (1) -0.044400667784704
random-teste (1) -1.1551009444507
gisette (2) 3.4157301297306
data-v3.en-es-lit.clean.anno.uniform.20top (1) 2.1230598673127
data-v3.en-es-lit.clean.anno.uniform.without_20top (1) 3.7813309261258
jungle_chess_2pcs_endgame_complete (1) 0.13713588474391
jungle_chess_2pcs_endgame_rat_panther (1) 0.037721224531639
jungle_chess_2pcs_endgame_rat_elephant (1) 0.037721224531639
jungle_chess_2pcs_endgame_lion_elephant (1) 0.17373706189264
jungle_chess_2pcs_endgame_rat_rat (1) 0.070462379392862
jungle_chess_2pcs_endgame_rat_lion (1) 0.18341303425335
jungle_chess_2pcs_endgame_lion_lion (1) 0.0062203602190882
Diabetes (2) 0.53771374047188
Homicide (1)
data-v3.en-es-lit.clean.anno.uniform.30top (1) 2.8091202292862
data-v3.en-es-lit.clean.anno.uniform.without_30top (1) 3.6948550982264
Random (1) -0.019513011381355
TestofRandom (1) -0.019513011381355
Pizza (1) 0.59543869832567
Pizza (2) 0.59543869832567
tamilnadu-electricity (3) -0.0047069108027838
climate-model-simulation-crashes (2) -5.9867048789727E-5
climate-model-simulation-crashes (3) -0.00018090251190655
intuit (1) 1.0706041317962
DiabetesIndia (1) 0.53771374047188
ex1-features-holiday-person-es-201610 (1)
ex1-features-holiday-person-en-201610 (1)
ex2-features-holiday-person-event-es-201610 (1)
SAT11-HAND-runtime-classification (1) 2.064388641939
Kuzushiji-MNIST (1) 1.4421981442916
GTSRB-HOG01 (1) 1.6100697798776
GTSRB-HOG02 (1) 1.5761253467121
GTSRB-HOG03 (1) 1.8863057746254
GTSRB-HueHist (1) 4.7304484417834
1DUltrasoundMuscleContractionData (1) 0.38131568663503
Indian_pines (1) -0.39857975072412
semeion (2) 0.61243465271953
TuningSVMs (2) 1.2948487060545
TuningSVMs (3) 1.4896035560365
SAT11-HAND-runtime-regression (1) 2.0435334994431
Kuzushiji-49 (1) 1.6104672008294
cifar-10-small (1) 0.16861338566955
iris (15) 0.105972104494
iris (16) 0.105972104494
Weather (10) 0.093895435970685
TaskCreationTestDataset (3) 0.10495719724642
TaskCreationTestDataset (4) 0.10495719724642
USPS (3) 0.68115963269595
isolet (2) -0.030380990418982