Measure

Dimensionality

Number of attributes divided by the number of instances.

Value per dataset

yeast_gene (1) 169.64705882353
robot-failures-lp2 (1) 1.936170212766
robot-failures-lp3 (1) 1.936170212766
ldpa (1) 4.852602207934E-5
gas-drift-different-concentrations (1) 0.0093457943925234
skin-segmentation (1) 1.6322733078427E-5
spoken-arabic-digit (1) 5.6978758318899E-5
walking-activity (1) 3.3482441807516E-5
mouseType (1) 210.75700934579
BurkittLymphoma (1) 101.29090909091
anthracyclineTaxaneChemotherapy (1) 385.91194968553
ovarianTumour (1) 193.01060070671
hepatitisC (1) 193.01060070671
variousCancers_final (1) 142.75718015666
USCrime (1) 0.29787234042553
MercuryinBass (1) 0.22641509433962
diggle_table_a1 (1) 0.10416666666667
disclosure_z (1) 0.0060422960725076
visualizing_slope (1) 0.090909090909091
disclosure_x_tampered (1) 0.0060422960725076
disclosure_x_noise (1) 0.0060422960725076
sleuth_case1202 (1) 0.075268817204301
sleuth_case1201 (1) 0.14
disclosure_x_bias (1) 0.0060422960725076
sleuth_case1102 (1) 0.26470588235294
sleuth_case2002 (1) 0.047619047619048
rmftsa_ladata (1) 0.021653543307087
witmer_census_1980 (1) 0.1
garrat2 (1) 81.642857142857
Phen (1) 5.0454545454545
siddiqi (1) 114.3
lewis (1) 163.28571428571
thompson (1) 142.875
yprop_4_1 (1) 0.028362408553742
tsutumi (1) 87.923076923077
strupcz (1) 33.617647058824
PHENETYL1 (1) 28.590909090909
cristalli (1) 35.71875
qqdefects_numeric (1) 1
nasa_numeric (1) 0.25806451612903
KDDCup99 (1) 8.5016800939233E-5
gina_prior (1) 0.22635524798155
BNG(spectf_test) (1) 4.5E-5
BNG(adult) (1) 1.5E-5
BNG(satimage) (1) 3.7E-5
BNG(baseball) (1) 1.7E-5
BNG(wisconsin) (1) 3.3E-5
BNG(cleveland) (1) 1.4E-5
BNG(auto_price) (1) 1.6E-5
BNG(cpu_act) (1) 2.2E-5
Goteborg_52 (1) 0.092592592592593
BNG(primary-tumor) (1) 1.8E-5
BNG(solar-flare) (1) 1.9591531635802E-5
BNG(solar-flare) (1) 1.3E-5
BNG(spect_test) (1) 2.3E-5
Dorothea (1) 86.957391304348
NELL (1) 0.006370112657389
KDD98 (1) 0.0025044442120673
sulfur (1) 0.00069437555798036
debutanizer (1) 0.0033416875522139
BNG(letter,5000,1) (1) 1.7E-5
BNG(letter,5000,5) (1) 1.7E-5
BNG(letter,5000,10) (1) 1.7E-5
BNG(letter,10000,1) (1) 1.7E-5
BNG(letter,10000,5) (1) 1.7E-5
BNG(letter,10000,10) (1) 1.7E-5
BNG(audiology,1000,1) (1) 7.0E-5
BNG(audiology,1000,5) (1) 7.0E-5
BNG(audiology,1000,10) (1) 7.0E-5
BNG(audiology,5000,1) (1) 7.0E-5
BNG(audiology,5000,5) (1) 7.0E-5
BNG(audiology,5000,10) (1) 7.0E-5
BNG(autos,1000,1) (1) 2.6E-5
BNG(autos,1000,5) (1) 2.6E-5
BNG(autos,1000,10) (1) 2.6E-5
BNG(autos,5000,1) (1) 2.6E-5
BNG(autos,5000,5) (1) 2.6E-5
BNG(autos,5000,10) (1) 2.6E-5
BNG(autos,10000,1) (1) 2.6E-5
BNG(autos,10000,5) (1) 2.6E-5
appendicitis (1) 0.075471698113208
arcene (1) 50.005
colon-cancer (1) 32.274193548387
svmguide1 (1) 0.00070531809846241
duke-breast-cancer (1) 82.906976744186
fourclass (1) 0.0034802784222738
german.numer (1) 0.025
iris-test (1) 0.033333333333333
BNG(autos,10000,10) (1) 2.6E-5
BNG(lymph,1000,5) (1) 1.9E-5
BNG(lymph,1000,10) (1) 1.9E-5
BNG(lymph,5000,1) (1) 1.9E-5
BNG(lymph,5000,5) (1) 1.9E-5
BNG(lymph,5000,10) (1) 1.9E-5
BNG(lymph,10000,1) (1) 1.9E-5
BNG(lymph,10000,5) (1) 1.9E-5
BNG(lymph,10000,10) (1) 1.9E-5
KungChi3 (1) 0.32520325203252
KnuggetChase3 (1) 0.20618556701031
MindCave2 (1) 0.32
a1a (1) 0.0038082368477627
a2a (1) 0.0038082368477627
a3a (1) 0.0038082368477627
a4a (1) 0.0038082368477627
a5a (1) 0.0038082368477627
a6a (1) 0.0038082368477627
a7a (1) 0.0038082368477627
a8a (1) 0.0038082368477627
a9a (1) 0.0025387985749969
MyIris (1) 0.033333333333333
physionet_asystole (1) 0.05
physionet_bradycardia (1) 0.1
physionet_tachycardia (1) 0.064748201438849
contact-lenses (1) 0.20833333333333
cpu.with.vendor (1) 0.038277511961722
COMET_MC (2) 7.8746357980943E-7
COMET_MC (1) 7.8746357980943E-7
IBO (1) 0.14814814814815
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5287 (1) 2.5
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5762 (1) 0.83333333333333
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6054 (1) 0.54878048780488
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL6120 (1) 1.7307692307692
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3284 (1) 3.4615384615385
COMET_MC_SAMPLE (1) 7.8746357980943E-6
COMET_MC_SAMPLE (4) 7.8746357980943E-6
MiceProtein (1) 0.075925925925926
KEGGMetabolicReactionNetwork (1) 0.00044238337858864
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2777 (1) 0.5421686746988
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4597 (1) 0.55555555555556
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4612 (1) 4.5
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4731 (1) 1.2857142857143
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2447 (1) 0.61643835616438
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5021 (1) 1.6071428571429
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4199 (1) 3.2142857142857
hiva_agnostic (1) 0.38259635847718
vowel (3) 0.014141414141414
cocomo_numeric (1) 0.28333333333333
humans_numeric (1) 0.2
kc1-numeric (1) 0.6551724137931
cjs (2) 0.012517882689557
ERA (1) 0.005
SMSA (1) 0.27118644067797
Brainsize (1) 0.175
Acorns (1) 0.1025641025641
Cereals (1) 0.20779220779221
ICU (1) 0.1
pubexpendat (1) 0.16666666666667
EgyptianSkulls (1) 0.033333333333333
ESL (2) 0.010245901639344
ada_prior (1) 0.003288031565103
visualizing_soil (1) 0.00057863673185974
cloud (2) 0.074074074074074
BNG(anneal,1000,1) (1) 3.9E-5
BNG(anneal,1000,5) (1) 3.9E-5
BNG(anneal,1000,10) (1) 3.9E-5
BNG(anneal,5000,1) (1) 3.9E-5
BNG(anneal,5000,5) (1) 3.9E-5
BNG(anneal,5000,10) (1) 3.9E-5
BNG(anneal,10000,1) (1) 3.9E-5
BNG(anneal,10000,5) (1) 3.9E-5
BNG(anneal,10000,10) (1) 3.9E-5
BNG(anneal.ORIG,1000,1) (1) 3.9E-5
TAM_k_d (1) 0.10810810810811
eating (1) 6.7449735449735
Agrawal1 (1) 1.0E-5
Stagger1 (1) 4.0E-6
Stagger2 (1) 4.0E-6
Stagger3 (1) 4.0E-6
BNG(anneal.ORIG,1000,5) (1) 3.9E-5
BNG(anneal.ORIG,1000,10) (1) 3.9E-5
BNG(anneal.ORIG,5000,1) (1) 3.9E-5
BNG(anneal.ORIG,5000,5) (1) 3.9E-5
BNG(anneal.ORIG,5000,10) (1) 3.9E-5
BNG(anneal.ORIG,10000,1) (1) 3.9E-5
BNG(anneal.ORIG,10000,5) (1) 3.9E-5
BNG(anneal.ORIG,10000,10) (1) 3.9E-5
BNG(kr-vs-kp,1000,1) (1) 3.7E-5
BNG(kr-vs-kp,1000,5) (1) 3.7E-5
BNG(kr-vs-kp,1000,10) (1) 3.7E-5
BNG(kr-vs-kp,5000,1) (1) 3.7E-5
BNG(kr-vs-kp,5000,5) (1) 3.7E-5
BNG(kr-vs-kp,5000,10) (1) 3.7E-5
BNG(kr-vs-kp,10000,1) (1) 3.7E-5
BNG(kr-vs-kp,10000,5) (1) 3.7E-5
BNG(kr-vs-kp,10000,10) (1) 3.7E-5
BNG(letter,1000,1) (1) 1.7E-5
BNG(letter,1000,5) (1) 1.7E-5
BNG(letter,1000,10) (1) 1.7E-5
BNG(SPECT) (1) 2.3E-5
BNG(SPECTF) (1) 4.5E-5
BNG(mv) (1) 0.00013971447441955
BNG(JapaneseVowels) (1) 1.5E-5
Click_prediction_small (1) 6.6827453519835E-6
Click_prediction_small (2) 8.0192997814741E-5
Click_prediction_small (3) 6.0077800751974E-6
Click_prediction_small (4) 3.0038900375987E-5
BNG(breastTumor) (1) 8.5733882030178E-5
BNG(cpu_small) (1) 1.3E-5
BNG(pwLinear) (1) 6.2095321964244E-5
BNG(wine_quality) (1) 2.2580117077907E-5
BNG(Australian) (1) 1.5E-5
BNG(satellite_image) (1) 3.7E-5
BNG(Ailerons) (1) 4.1E-5
BNG(libras_move) (1) 9.1E-5
BNG(puma32H) (1) 3.3E-5
codrnaNorm (1) 1.842129501704E-5
vehicleNorm (1) 0.0010250893147126
lungcancer_shedden (1) 0.054298642533937
letter-challenge-unlabeled.arff (1) 0.00085
letter-challenge-labeled.arff (1) 0.00085
Click_prediction_small (7) 1.2516208489995E-5
Click_prediction_small (6) 1.5019450187993E-5
nki70.arff (1) 0.53472222222222
BNG(pbc) (1) 1.9E-5
BNG(autoHorse) (1) 2.6E-5
BNG(lowbwt) (1) 0.00032150205761317
BNG(cholesterol) (1) 1.4E-5
BNG(autoPrice) (1) 1.6E-5
BNG(pharynx) (1) 1.2E-5
BNG(2dplanes) (1) 6.2095321964244E-5
BNG(elevators) (1) 1.9E-5
BNG(echoMonths) (1) 0.00057155921353452
BNG(stock) (1) 0.0001693508780843
fourclass_scale (1) 0.0034802784222738
german.numer (2) 0.025
gisette (1) 0.71442857142857
heart (1) 0.051851851851852
ijcnn (1) 0.000119991026758
rcv1.binary (1) 0.067709609956984
real-sim (1) 0.2898532686111
splice (3) 0.019212598425197
dbworld-bodies-stemmed (1) 58.15625
dbworld-bodies (1) 73.484375
dbworld-subjects-stemmed (1) 3.59375
dbworld-subjects (1) 3.796875
poker-hand (1) 1.0731613088275E-5
poker-hand (2) 1.0731707317073E-5
connect-4 (1) 0.001879894015424
aloi (1) 0.0011944444444444
SensIT-Vehicle-Combined (1) 0.0010250893147126
poker (2) 1.0731602618511E-5
SPECTF (2) 0.1685393258427
w1a (1) 0.0060503728718165
w2a (1) 0.0060503728718165
w3a (1) 0.0060503728718165
w4a (1) 0.0060503728718165
w5a (1) 0.0060503728718165
w6a (1) 0.0060503728718165
w7a (1) 0.0060503728718165
w8a (1) 0.0046522411128284
svmguide3 (1) 0.018503620273532
wisconsin (1) 0.17010309278351
vineyard (1) 0.057692307692308
bolts (1) 0.175
cpu_act (1) 0.002685546875
SEA(50) (1) 4.0E-6
SEA(50000) (1) 4.0E-6
monks-problems-1_test (1) 0.016203703703704
monks-problems-1_train (1) 0.056451612903226
monks-problems-2_test (1) 0.016203703703704
monks-problems-2_train (1) 0.041420118343195
monks-problems-3_test (1) 0.016203703703704
monks-problems-3_train (1) 0.057377049180328
pol (1) 0.0032666666666667
sleep (1) 0.12903225806452
triazines (1) 0.32795698924731
detroit (1) 1.0769230769231
Hyperplane_10_1E-4 (1) 1.1E-5
LED(50000) (1) 2.5E-5
pokerhand (1) 1.3265782361575E-5
RandomRBF_0_0 (1) 1.1E-5
RandomRBF_10_1E-3 (1) 1.1E-5
RandomRBF_10_1E-4 (1) 1.1E-5
RandomRBF_50_1E-3 (1) 1.1E-5
RandomRBF_50_1E-4 (1) 1.1E-5
BNG(anneal,nominal,1000000) (1) 3.9E-5
gascons (1) 0.18518518518519
elusage (1) 0.054545454545455
longley (1) 0.4375
diabetes_numeric (1) 0.069767441860465
baskball (1) 0.052083333333333
2dplanes (1) 0.00026981946624804
elevators (1) 0.0011446472679077
house_8L (1) 0.00039501404494382
BNG(waveform-5000) (1) 4.1E-5
BNG(zoo) (1) 1.7E-5
20_newsgroups.drift (1) 0.002505375806371
BNG(colic.ORIG,nominal,1000000) (1) 2.8E-5
BNG(colic,nominal,1000000) (1) 2.3E-5
BNG(optdigits) (1) 6.5E-5
BNG(credit-a,nominal,1000000) (1) 1.6E-5
BNG(page-blocks,nominal,295245) (1) 3.7257193178547E-5
BNG(credit-g,nominal,1000000) (1) 2.1E-5
BNG(pendigits,nominal,1000000) (1) 1.7E-5
BNG(cylinder-bands,nominal,1000000) (1) 4.0E-5
BNG(dermatology,nominal,1000000) (1) 3.5E-5
BNG(segment) (1) 2.0E-5
BNG(vehicle,nominal,1000000) (1) 1.9E-5
BNG(hepatitis,nominal,1000000) (1) 2.0E-5
BNG(vote) (1) 0.00012969970703125
BNG(hypothyroid,nominal,1000000) (1) 3.0E-5
BNG(ionosphere) (1) 3.5E-5
BNG(waveform-5000,nominal,1000000) (1) 4.1E-5
BNG(zoo,nominal,1000000) (1) 1.8E-5
CovPokElec (1) 5.0153724601089E-5
BNG(pendigits) (1) 1.7E-5
BNG(cylinder-bands) (1) 4.0E-5
BNG(dermatology) (1) 3.5E-5
BNG(sonar) (1) 6.1E-5
BNG(glass) (1) 7.2578947750416E-5
BNG(heart-c) (1) 1.4E-5
BNG(vehicle) (1) 1.9E-5
BNG(hepatitis) (1) 2.0E-5
BNG(mfeat-karhunen) (1) 6.5E-5
BNG(bridges_version1) (1) 1.3E-5
BNG(mfeat-zernike) (1) 4.8E-5
BNG(colic.ORIG) (1) 2.8E-5
BNG(colic) (1) 2.3E-5
BNG(credit-a) (1) 1.6E-5
BNG(page-blocks) (1) 3.7257193178547E-5
BNG(credit-g) (1) 2.1E-5
BNG(sick,nominal,1000000) (1) 3.0E-5
BNG(sonar,nominal,1000000) (1) 6.1E-5
BNG(glass,nominal,137781) (1) 7.2578947750416E-5
BNG(soybean) (1) 3.6E-5
BNG(spambase) (1) 5.8E-5
BNG(heart-c,nominal,1000000) (1) 1.4E-5
BNG(heart-h,nominal,1000000) (1) 1.4E-5
BNG(trains) (1) 3.3E-5
BNG(heart-statlog,nominal,1000000) (1) 1.4E-5
hayes-roth_test (1) 0.17857142857143
hayes-roth_train (1) 0.037878787878788
bridges (1) 0.11214953271028
bridges (2) 0.11214953271028
BNG(anneal.ORIG,nominal,1000000) (1) 3.9E-5
BNG(kr-vs-kp) (1) 3.7E-5
BNG(labor,nominal,1000000) (1) 1.7E-5
BNG(letter,nominal,1000000) (1) 1.7E-5
BNG(autos,nominal,1000000) (1) 2.6E-5
BNG(lymph,nominal,1000000) (1) 1.9E-5
BNG(breast-cancer,nominal,1000000) (1) 1.0E-5
BNG(mfeat-fourier,nominal,1000000) (1) 7.7E-5
BNG(mfeat-karhunen,nominal,1000000) (1) 6.5E-5
BNG(bridges_version1,nominal,1000000) (1) 1.3E-5
BNG(bridges_version2,nominal,1000000) (1) 1.3E-5
BNG(mfeat-zernike,nominal,1000000) (1) 4.8E-5
BNG(mushroom) (1) 2.3E-5
SyskillWebert-Goats (1) 0.042857142857143
SyskillWebert-Bands (1) 0.049180327868852
internet_usage (1) 0.0071230708349822
UNIX_user_data (1) 0.00032967032967033
SyskillWebert-BioMedical (1) 0.022900763358779
SyskillWebert-Sheep (1) 0.046153846153846
spect_test (1) 0.12299465240642
spect_train (1) 0.2875
spectf_test (1) 0.16728624535316
spectf_train (1) 0.5625
covertype (2) 9.4662416611017E-5
satellite_image (1) 0.0057498057498057
Ailerons (1) 0.0029818181818182
coil2000 (1) 0.0087558542048463
libras_move (1) 0.25277777777778
cjs (1) 0.012517882689557
doherty (1) 190.5
chang (1) 33.617647058824
qsabr2 (1) 0.66666666666667
qsabr1 (1) 0.66666666666667
prnn_crabs (1) 0.04
arsenic-male-bladder (1) 0.0089445438282648
iq_brain_size (1) 0.45
papir_2 (1) 1.3666666666667
hip (1) 0.14814814814815
tr31.wc (1) 10.926645091694
oh15.wc (1) 3.3964950711939
new3s.wc (1) 2.8073864825277
qsbralks (1) 1.6923076923077
stevenson (1) 228.6
qsartox (1) 1.5
benzo32 (1) 0.16923076923077
uehling (1) 127
rosowky (1) 114.3
garrat (1) 114.3
detroit (2) 1.0769230769231
kidney (1) 0.092105263157895
bank32nh (1) 0.0040283203125
bodyfat (1) 0.05952380952381
cpu (1) 0.038277511961722
cpu_small (2) 0.0015869140625
meta (1) 0.041666666666667
kdd_coil_1 (1) 0.037974683544304
kdd_coil_2 (1) 0.037974683544304
auto93 (1) 0.24731182795699
kdd_coil_3 (1) 0.037974683544304
delta_elevators (2) 0.00073552590101923
bank8FM (1) 0.0010986328125
cpu_act (2) 0.002685546875
house_16H (1) 0.00074613764044944
kdd_coil_4 (1) 0.037974683544304
kdd_coil_5 (1) 0.037974683544304
kdd_coil_6 (1) 0.037974683544304
kdd_coil_7 (1) 0.037974683544304
wind (1) 0.0022817158503194
tecator (1) 0.52083333333333
space_ga (1) 0.0022529771483746
nflpass (1) 0.23076923076923
places (1) 0.027355623100304
sleep (2) 0.16129032258065
pm10 (1) 0.016
pbc (2) 0.047846889952153
humandevel (1) 0.015384615384615
pollen (1) 0.0012993762993763
boston (1) 0.027667984189723
arsenic-female-bladder (1) 0.0089445438282648
cps_85_wages (1) 0.02059925093633
arsenic-male-lung (1) 0.0089445438282648
houses (1) 0.00043604651162791
socmob (1) 0.0051903114186851
pollution (1) 0.26666666666667
boston_corrected (1) 0.041501976284585
transplant (1) 0.022900763358779
lmpavw (1) 0.00014545454545455
sensory (1) 0.020833333333333
no2 (1) 0.016
strikes (1) 0.0112
plasma_retinol (1) 0.044444444444444
balloon (1) 0.00099950024987506
arsenic-female-lung (1) 0.0089445438282648
pbcseq (1) 0.0097686375321337
newton_hema (1) 0.028571428571429
wind_correlations (1) 1.0444444444444
veteran (1) 0.058394160583942
us_crime (1) 0.0641925777332
mbagrade (1) 0.049180327868852
BNG(anneal) (1) 3.9E-5
BNG(anneal.ORIG) (2) 3.9E-5
BNG(labor) (2) 1.7E-5
BNG(letter) (2) 1.7E-5
BNG(autos) (1) 2.6E-5
BNG(lymph) (1) 1.9E-5
BNG(mfeat-fourier) (1) 7.7E-5
chembl1075021test1 (1) 29.514285714286
mv (1) 0.00026981946624804
aids (1) 0.1
ozone_level (1) 0.028785488958991
puma32H (1) 0.0040283203125
wine_quality (1) 0.0018470063106049
bridges (3) 0.11428571428571
bridges (4) 0.11428571428571
la2s.wc (1) 4.0432520325203
oh5.wc (1) 3.2821350762527
re1.wc (1) 2.2685576342788
la1s.wc (1) 4.1186017478152
wap.wc (1) 5.4237179487179
ohscal.wc (1) 1.0272352624978
selwood (1) 1.741935483871
svensson (1) 87.923076923077
penning (1) 87.923076923077
qsfsr1 (1) 0.5
qsfrdhla (1) 2.125
qsprcmpx (1) 1.8181818181818
qsfsr2 (1) 0.52631578947368
mtp2 (1) 4.1715328467153
yokohoma2 (1) 95.25
heyl (1) 103.90909090909
yokohoma1 (1) 87.923076923077
mtp (1) 0.04561797752809
qsbr_y2 (1) 0.4
krystek (1) 38.1
depreux (1) 43.961538461538
pdgfr (1) 4.0632911392405
carbolenes (1) 30.891891891892
rsctc2010_3 (1) 234.50526315789
rsctc2010_4 (1) 483.85840707965
rsctc2010_5 (1) 613.6404494382
rsctc2010_6 (1) 641.35869565217
auml_web_1 (1) 0.0028041610131162
auml_eml_1_a (1) 0.00087241003271538
auml_eml_1_b (1) 0.0052344601962923
auml_eml_1_c (1) 0.17273718647764
auml_eml_1_d (1) 0.0023991275899673
auml_eml_1_e (1) 0.12649945474373
auml_eml_2 (1) 0.00034761449552446
RelevantImagesDataset (1) 6.1964803991333E-5
RelevantImagesDatasetTEST (1) 0.00023008810147627
iris (50) 0.046666666666667
wine (5) 0.089887640449438
WorkersCompensation (1) 0.00014
autism-adult-data (1) 0.029829545454545
polish-bankruptcy-1year (1) 0.0092500355770599
beijing-pm2.5 (1) 0.00029664110989412
behavior-urban-traffic (1) 0.13333333333333
caesarian-section (1) 0.075
iris (49) 0.046666666666667
letter (3) 0.0021
libras (1) 0.29166666666667
pendigits (3) 0.0023653566229985
pendigits (4) 0.0023653566229985
satimage (2) 0.0065268065268065
segment (4) 0.010822510822511
segment (5) 0.010822510822511
CMC_Data (1) 0.0067888662593347
dgf_test (1) 0.0014641288433382
dgf_test (2) 0.0014641288433382
shill-bidding (1) 0.0020566366081316
spo (1) 0.01419878296146
stock (3) 0.010526315789474
vehicle (3) 0.026004728132388
vehicle (4) 0.026004728132388
vowel (4) 0.039772727272727
vowel (5) 0.039772727272727
wine (4) 0.089887640449438
wisconsin (3) 0.16494845360825
yeast (9) 0.012129380053908
cpu (4) 0.0013427734375
diau (1) 0.012576064908722
dtt (1) 0.011359026369168
ecoli (4) 0.044642857142857
elevators (4) 0.0010844026748599
fried (3) 0.00034340659340659
glass (4) 0.070093457943925
glass (5) 0.070093457943925
heat (1) 0.012170385395538
housing (1) 0.023715415019763
kits-subset (1) 276.49
kits-subset (2) 276.49
kits-subset (3) 276.49
kits-subset (4) 276.49
Midwest_survey (15) 0.010079193664507
Higgs (3) 2.9E-5
SKdailyCOVID19 (1) 0.025
KDDCup09-Upselling (2) 0.30002
KDDCup09-Appetency (2) 0.30002
KDDCup09-Churn (2) 0.30002
SWERAS (1) 0.50793650793651
Soccer_Stats (1) 0.027409372236958
KDDCup09-Appetency (1) 0.30002
KDDCup09-Churn (1) 0.30002
KDDCup09-Upselling (1) 0.30002
PCam16k (1) 1.7280625
PCam16k (2) 1.7280625
bankmarketing (1) 0.00050985723997281
bankmarketing2 (1) 0.0050983248361253
OxfordPets (1) 6.6883929786365
OxfordPets (2) 6.6883929786365
SCADI (1) 2.9428571428571
bias-correction (1) 0.0032249742002064
absenteeism-at-work (1) 0.028378378378378
burst-header-packet (1) 0.02046511627907
AI4I2020 (1) 0.0014
acp-lung-cancer (1) 0.0033296337402886
Midwest_survey (16) 0.010079193664507
Midwest_survey (17) 0.011226944667201
nba-shot-logs (1) 0.00016397410770756
PrimeForm (1) 0.19230769230769
test-upload (1) 0.014681308188112
kits (1) 27.649
PCam (1) 6.91225
gnfuv-pi-4 (1) 0.010266940451745
gnfuv-pi-5 (1) 0.0086655112651646
polish-bankruptcy-2year (1) 0.0063894623021724
polish-bankruptcy-3-year (1) 0.0061887079881938
polish-bankruptcy-4year (1) 0.0066380718954248
polish-bankruptcy-5year (1) 0.010998307952623
digital-colposcopy-green (1) 0.70408163265306
gas-turbine-2011 (1) 0.0014842801241398
gas-turbine-2012 (1) 0.001442055584688
gas-turbine-2013 (1) 0.0015380313199105
gas-turbine-2014 (1) 0.0015367421067337
gas-turbine-2015 (1) 0.001489707475623
gnfuv-pi-2 (1) 0.01466275659824
gnfuv-pi-3 (1) 0.019011406844106
digital-colposcopy-hinselmann (1) 0.71134020618557
digital-colposcopy-schiller (1) 0.75
online-shoppers-intention (1) 0.0014598540145985
early-stage-diabetes (1) 0.032692307692308
metro-interstate-traffic (1) 0.00018670649738611
hungarian-chickenpox (1) 0.040229885057471
cnn-stock-pred-dji (1) 0.040229885057471
cnn-stock-pred-nasdaq (1) 0.042338709677419
cnn-stock-pred-nyse (1) 0.042338709677419
cnn-stock-pred-russell (1) 0.042338709677419
cnn-stock-pred-sp (1) 0.042338709677419
electrical-grid-stability (1) 0.0014
hcv-data (1) 0.022764227642276
communities-and-crime (1) 0.066365688487585
avila (1) 0.00062299324291944
Beijing-Multi-Site-Air-Quality (1) 4.2778918548939E-5
olindda_outliers (1) 0.04
Kassa (1) 0.47544983226593
Kassa (2) 0.23529411764706
test (10) 5.3333333333333E-5
TSLASTOCKPRICES010120-020621 (1) 0.025270758122744
test_data (1) 0.06
pm25dataset (1) 0.00022831050228311
iris (46) 0.033333333333333
dataset_time_8 (2) 0.023809523809524
dataset_time_9 (1) 0.0018365472910927
dataset_time_10 (1) 0.0028311176760217
ricci_vs_destefano (1) 0.050847457627119
ZOO (3) 0.17821782178218
auml_url_1 (1) 0.0041404616490773
auml_url_2 (1) 0.00013554232569778
auml_url_3 (1) 0.0042145190180171
colleges (12) 0.0066543961489452
OnlineNewsPopularity (2) 0.0015134698819493
abalone (5) 0.002154656451999
nyc-taxi-green-dec-2016 (3) 3.2655306057559E-5
us_crime (2) 0.063691073219659
porto-seguro (3) 9.7444271956883E-5
KDDCup99 (5) 8.5741740569582E-6
anneal (4) 0.043429844097996
BNG(vehicle) (2) 1.9E-5
medical_charges (7) 7.3590286082237E-5
NASA_PHM2008 (1) 0.00047911494403066
NASA_PHM2008_1 (1) 0.00047911494403066
NaijaCOVID-19 (1) 0.51351351351351
speeddating (2) 0.014681308188112
asdfasdfasdfasdfasdfSdfasdfasd (1) 0.014842300556586
authorship (1) 0.087990487514863
authorship (2) 0.087990487514863
blocks (1) 0.0027412280701754
bodyfat (3) 0.055555555555556
breast (2) 0.14150943396226
calhousing (1) 0.00038759689922481
cold (1) 0.011359026369168
wingstop_stock_prices (1) 0.005559968228753
wingstop_stock_prices (2) 0.005559968228753
Brazilian_houses (4) 0.0012158623269734
MY_DB (1) 0.058333333333333
weather (11) 0.35714285714286
weather (12) 0.35714285714286
test (9) 2.5
testdata (2) 1
testnew2 (1) 3
test3 (1) 4
iris (47) 0.033333333333333
iris (48) 0.033333333333333
danish_pronunciation (1) 0.03921568627451
rsctc2010_1 (1) 212.22857142857
rsctc2010_2 (1) 212.22857142857
ASP-POTASSCO-regression (1) 0.010046367851623
ASP-POTASSCO-classification (1) 0.11051004636785
MIP-2016-PAR10-regression (1) 0.13302752293578
MIP-2016-PAR10-classification (1) 0.6605504587156
employee_salaries (14) 0.0014087559601214
Football_players_Fifa_stats (1) 0.00022828816488928
visualizing_ethanol (1) 0.034090909090909
chscase_geyser1 (1) 0.013513513513514
FacultySalaries (1) 0.1
MIP-2016-regression (1) 0.13577981651376
MIP-2016-classification (1) 0.67889908256881
rabe_166 (1) 0.075
rmftsa_ctoarrivals (1) 0.011363636363636
sleuth_ex1605 (1) 0.096774193548387
chscase_vine2 (1) 0.0064102564102564
visualizing_galaxy (1) 0.015479876160991
chscase_vine1 (1) 0.19230769230769
rabe_131 (1) 0.12
chatfield_4 (1) 0.05531914893617
hutsof99_child_witness (1) 0.38095238095238
rabe_97 (1) 0.08695652173913
rabe_176 (1) 0.057142857142857
sleuth_ex1221 (1) 0.23809523809524
chscase_foot (1) 0.011406844106464
chscase_health (1) 0.06
visualizing_hamster (1) 0.082191780821918
rabe_148 (1) 0.090909090909091
chscase_census3 (1) 0.02
chscase_census2 (1) 0.02
chscase_demand (1) 0.40740740740741
visualizing_environmental (1) 0.036036036036036
chscase_funds (1) 0.010810810810811
hutsof99_logis (1) 0.11428571428571
Premier_League_matches (1) 0.005741303613644
Premier_League_odds_and_prob (1) 0.03405572755418
heart-failure (1) 0.043478260869565
physicochemical-protein (1) 0.00021867483052701
OVA_Uterus (1) 7.0783171521036
OVA_Omentum (1) 7.0783171521036
AP_Ovary_Lung (1) 33.756172839506
AP_Endometrium_Prostate (1) 84.123076923077
OVA_Endometrium (1) 7.0783171521036
AP_Colon_Omentum (1) 30.126721763085
AP_Endometrium_Breast (1) 27.002469135802
AP_Omentum_Uterus (1) 54.407960199005
AP_Omentum_Prostate (1) 74.904109589041
AP_Colon_Lung (1) 26.543689320388
AP_Breast_Omentum (1) 25.976247030879
AP_Endometrium_Colon (1) 31.515850144092
OVA_Kidney (1) 7.0783171521036
AP_Colon_Prostate (1) 30.805633802817
AP_Lung_Uterus (1) 43.744
AP_Colon_Kidney (1) 20.029304029304
OVA_Breast (1) 7.0783171521036
AP_Uterus_Kidney (1) 28.479166666667
OVA_Lung (1) 7.0783171521036
AP_Prostate_Uterus (1) 56.663212435233
AP_Omentum_Lung (1) 53.871921182266
AP_Prostate_Kidney (1) 33.240121580547
AP_Breast_Colon (1) 17.35873015873
OVA_Prostate (1) 7.0789644012945
AP_Omentum_Kidney (1) 32.451038575668
AP_Breast_Prostate (1) 26.479418886199
fri_c4_100_100 (1) 1.01
fri_c0_250_25 (1) 0.104
fri_c0_500_10 (1) 0.022
fri_c2_100_25 (1) 0.26
fri_c1_100_5 (1) 0.06
fri_c2_250_10 (1) 0.044
fri_c3_250_25 (1) 0.104
emotions (4) 0.13153456998314
fri_c3_500_50 (1) 0.102
fri_c3_500_10 (1) 0.022
fri_c1_250_10 (1) 0.044
fri_c1_250_50 (1) 0.204
fri_c0_500_5 (1) 0.012
fri_c0_500_50 (1) 0.102
fri_c0_100_25 (1) 0.26
DEE (1) 0.019178082191781
fri_c0_250_5 (1) 0.024
fri_c4_250_100 (1) 0.404
fri_c3_500_25 (1) 0.052
fri_c1_500_25 (1) 0.052
fri_c1_1000_50 (1) 0.051
fri_c4_500_25 (1) 0.052
AP_Breast_Kidney (1) 18.105960264901
AP_Endometrium_Ovary (1) 42.223938223938
AP_Colon_Uterus (1) 26.673170731707
OVA_Colon (1) 7.0783171521036
AP_Ovary_Uterus (1) 33.962732919255
AP_Lung_Kidney (1) 28.331606217617
AP_Prostate_Ovary (1) 40.958801498127
AP_Colon_Ovary (1) 22.595041322314
AP_Endometrium_Lung (1) 58.48128342246
AP_Prostate_Lung (1) 56.082051282051
AP_Omentum_Ovary (1) 39.767272727273
AP_Endometrium_Kidney (1) 34.068535825545
AP_Breast_Uterus (1) 23.369658119658
AP_Ovary_Kidney (1) 23.877729257642
AP_Breast_Lung (1) 23.268085106383
AP_Endometrium_Omentum (1) 79.246376811594
AP_Endometrium_Uterus (1) 59.113513513514
AP_Breast_Ovary (1) 20.177121771218
MeanWhile1 (1) 0.1501976284585
yeast (5) 0.0060851926977688
yeast (6) 0.0060851926977688
allhyper (1) 0.0079554494828958
auto (1) 0.12871287128713
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (1) 0.625625
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (1) 0.013125
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (1) 0.013125
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (1) 0.013125
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (1) 0.013125
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (1) 0.013125
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (2) 0.625625
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (2) 0.013125
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (2) 0.013125
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1 (2) 0.013125
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001 (2) 0.013125
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001 (2) 0.013125
agaricus-lepiota (1) 0.0028238182934316
analcatdata_fraud (1) 0.28571428571429
xd6 (1) 0.010277492291881
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1 (3) 0.625625
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1 (3) 0.013125
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1 (3) 0.013125
breast (1) 0.015736766809728
cars1 (1) 0.020408163265306
calendarDOW (1) 0.082706766917293
car-evaluation (1) 0.012731481481481
clean1 (1) 0.35504201680672
clean2 (1) 0.025613822370415
corral (1) 0.04375
Titanic (2) 0.0018173557473876
tokyo1 (1) 0.046923879040667
parity5_plus_5 (1) 0.0097864768683274
allbp (1) 0.0079533404029692
allrep (1) 0.0079533404029692
analcatdata_happiness (1) 0.066666666666667
cleve (1) 0.046204620462046
ecoli (3) 0.024464831804281
glass2 (1) 0.061349693251534
hypothyroid (3) 0.0082200442617768
led24 (1) 0.0078125
led7 (1) 0.0025
magic (1) 0.00057833859095689
mofn-3-7-10 (1) 0.0083081570996979
cleveland-nominal (1) 0.026402640264026
crx (1) 0.023188405797101
dis (1) 0.0079533404029692
parity5 (1) 0.1875
pima (1) 0.01171875
mux6 (1) 0.0546875
thyroid-new (1) 0.027906976744186
postoperative-patient-data (3) 0.10227272727273
solar-flare (3) 0.041269841269841
solar-flare (4) 0.01219512195122
threeOf9 (1) 0.01953125
NPSdecay (1) 6.5918274523246E-5
qType_2prev (1) 2.6554782516331E-5
qType_5prev (1) 5.8672612158032E-5
qType_30prev (1) 0.0003298420543212
MNIST (1) 0.012661290322581
convex (1) 0.013534482758621
mnist_rotation (1) 0.012661290322581
secom (1) 0.37715379706445
CF-metadataset (1) 2.5625
CF-metadataset-nmae (1) 2.375
USPS (1) 0.027640352764035
Breast_Cancer (1) 0.034965034965035
sylva_agnostic (2) 0.015074678707885
ada_agnostic (2) 0.01074090311267
climate-model-simulation-chrashes (1) 0.038888888888889
jungle_chess_2pcs_endgame_panther_lion (1) 0.0099914965986395
jungle_chess_2pcs_endgame_panther_lion (2) 0.0099914965986395
jungle_chess_2pcs_endgame_elephant_elephant (1) 0.01999149298171
jungle_chess_2pcs_endgame_panther_elephant (1) 0.0099914965986395
ex2-features-holiday-person-event-en-201610 (1) 0.061702127659574
ex3-features-holiday-all-es-201610 (1) 0.16583747927032
ex3-features-holiday-all-en-201610 (1) 0.12765957446809
London-smart-meter-data-preprocessed-for-clustering (1) 1.4496644295302
Moneyball (2) 0.012175324675325
orcid (1) 7.9690799697175E-5
food-truck-test (1) 0.081081081081081
random-teste (1) 0.17241379310345
gisette (2) 0.71442857142857
data-v3.en-es-lit.clean.anno.uniform.20top (1) 1.15
data-v3.en-es-lit.clean.anno.uniform.without_20top (1) 0.10454545454545
jungle_chess_2pcs_endgame_complete (1) 0.0010486623976439
jungle_chess_2pcs_endgame_rat_panther (1) 0.0079931972789116
jungle_chess_2pcs_endgame_rat_elephant (1) 0.0079931972789116
jungle_chess_2pcs_endgame_lion_elephant (1) 0.0099914965986395
jungle_chess_2pcs_endgame_rat_rat (1) 0.012841530054645
jungle_chess_2pcs_endgame_rat_lion (1) 0.0079931972789116
jungle_chess_2pcs_endgame_lion_lion (1) 0.019982993197279
Diabetes (2) 0.01171875
Homicide (1) 2.6918463972627E-5
data-v3.en-es-lit.clean.anno.uniform.30top (1) 0.76666666666667
data-v3.en-es-lit.clean.anno.uniform.without_30top (1) 0.10952380952381
Random (1) 0.018223234624146
TestofRandom (1) 0.018223234624146
Pizza (1) 0.0078226857887875
Pizza (2) 0.0078226857887875
EMNIST_Balanced (1) 0.0059650455927052
tamilnadu-electricity (3) 8.7372490771281E-5
climate-model-simulation-crashes (2) 0.038888888888889
climate-model-simulation-crashes (3) 0.035185185185185
intuit (1) 0.00065
DiabetesIndia (1) 0.01171875
ex1-features-holiday-person-es-201610 (1) 0.073521282476506
ex1-features-holiday-person-en-201610 (1) 0.056595744680851
ex2-features-holiday-person-event-es-201610 (1) 0.080154781647319
SAT11-HAND-runtime-classification (1) 0.39189189189189
Kuzushiji-MNIST (1) 0.011214285714286
CIFAR-100 (1) 0.051216666666667
GTSRB-HOG01 (1) 0.030266787553772
GTSRB-HOG02 (1) 0.030266787553772
GTSRB-HOG03 (1) 0.056270375585949
GTSRB-HueHist (1) 0.0049576573622176
1DUltrasoundMuscleContractionData (1) 1.8790634747642E-5
Indian_pines (1) 0.024168853893263
semeion (2) 0.80564263322884
bot-iot (1) 1.2266520413398E-5
TuningSVMs (2) 0.58333333333333
TuningSVMs (3) 0.51923076923077
SAT11-HAND-runtime-regression (1) 0.026351351351351
Kuzushiji-49 (1) 0.00289761989133
cifar-10-small (1) 0.15365
iris (15) 0.033333333333333
iris (16) 0.033333333333333
Weather (10) 0.35714285714286
TaskCreationTestDataset (3) 0.033333333333333
TaskCreationTestDataset (4) 0.033333333333333
USPS (3) 0.18047752808989
isolet (2) 1.03
cnae-9 (2) 3.5708333333333
crimecommunitynums (1) 0.063691073219659
crimecommunitynums2 (1) 0.063691073219659
dentaire (1) 0.6
TaskCreationTestDataset (1) 0.033333333333333
TaskCreationTestDataset (2) 0.033333333333333
seattlecrime6 (1) 1.5279130617468E-5
exercises (1) 0.00053333333333333
exercises (2) 0.00053333333333333
ilpd-numeric (1) 0.018867924528302
Sick_numeric (1) 0.0079533404029692