Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
 Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
27 values
n1
int64
20
1k
n2
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1k
perc
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BN_SCE_test
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Q_test
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MAX_Value_test
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MIN3_test
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0
1
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84.2
WLg_TaroneWare_test
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0
99.4
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0
106
WLg_PetoPrentice_test
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71.9
WLg_Prentice_test
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0
71.6
WKM_test
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7,645
train
H1
H14
300
300
0
0
0
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7,645
train
H0
H14
500
500
0
0
0
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7,645
train
H1
H14
500
500
0
0
0
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7,645
train
H0
H14
1,000
1,000
0
0
0
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7,645
train
H1
H14
1,000
1,000
0
0
0
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7,645
train
H0
H14
20
20
10
25
10
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7,645
train
H1
H14
20
20
10
10
0
0.470325
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7,645
train
H0
H14
30
30
10
3.333333
13.333333
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7,645
train
H1
H14
30
30
10
6.666667
10
0.184236
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3.054106
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7,645
train
H0
H14
50
50
10
12
14
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7,645
train
H1
H14
50
50
10
8
6
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4.749489
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3.92174
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7,645
train
H0
H14
75
75
10
8
13.333333
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1.507284
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7,645
train
H1
H14
75
75
10
12
12
0.76513
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1.337437
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0.813725
0.415912
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7,645
train
H0
H14
100
100
10
7
12
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7,645
train
H1
H14
100
100
10
9
9
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2.080547
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1.998051
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0.495227
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7,645
train
H0
H14
150
150
10
7.333333
16
0.900682
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1.222258
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0.900682
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7,645
train
H1
H14
150
150
10
6.666667
8.666667
0.348079
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3.271264
3.010368
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0.348079
0.498804
0.191246
0.249883
0.001175
0.14488
1.805612
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7,645
train
H0
H14
200
200
10
9
8
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0.342545
0.341557
0.315725
0.396004
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0.491321
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7,645
train
H1
H14
200
200
10
7.5
12.5
0.21921
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0.090507
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0.270563
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0.072773
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7,645
train
H0
H14
300
300
10
6
9
1.538302
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2.769068
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1.538302
1.560315
0.117517
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1.674905
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1.565279
7,645
train
H1
H14
300
300
10
10.666667
12
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0.493599
0.842076
0.845078
1.20974
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1.032387
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0.842076
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0.3523
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1.088932
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7,645
train
H0
H14
500
500
10
9.2
9
-1.043019
1.01871
1.50443
1.507984
3.107917
5.389949
2.724757
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1.50443
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2.274016
1.351514
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7,645
train
H1
H14
500
500
10
12.2
9.4
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0.501446
1.513077
1.514484
4.365857
6.095899
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1.513077
0.069516
2.29366
1.000624
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4.823124
4.861295
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7,645
train
H0
H14
1,000
1,000
10
9.7
10.5
0.931048
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2.507228
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2.081753
0.931048
0.957283
0.336306
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0.96149
7,645
train
H1
H14
1,000
1,000
10
10.9
10.3
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0.109325
1.263854
1.265618
5.487253
6.356913
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1.265618
1.263854
0.04467
1.601789
0.380054
0.011952
4.784943
4.797437
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7,645
train
H0
H14
20
20
20
25
20
-0.50292
0.520729
0.403474
0.395774
0.271892
0.252034
0.28082
0.395774
0.520729
0.593165
0.156637
0.2246
0.268712
0.084592
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7,645
train
H1
H14
20
20
20
35
10
-0.904892
0.869665
1.306844
1.297075
2.65861
5.473324
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1.306844
0.140243
1.682403
1.005042
0.752486
2.665397
2.397436
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7,645
train
H0
H14
30
30
20
13.333333
23.333333
2.597726
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7.431476
8.917469
7.084916
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2.641667
0.006908
5.198416
6.905524
7.139788
1.683329
2.04404
2.701258
7,645
train
H1
H14
30
30
20
13.333333
23.333333
-0.123043
0.060544
0.669203
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3.141793
3.063051
3.208548
0.699357
0.669203
0.201035
0.4891
0.119146
0.00368
2.335059
2.255025
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7,645
train
H0
H14
50
50
20
20
26
1.725089
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2.775863
7.413244
3.000135
1.725089
1.736851
0.05983
2.550238
2.672613
3.031699
1.017878
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1.765575
7,645
train
H1
H14
50
50
20
16
14
1.24236
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1.589174
1.715155
1.577731
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1.224472
0.214205
1.476676
1.559474
1.499344
0.657755
0.734411
1.242087
7,645
train
H0
H14
75
75
20
26.666667
12
-1.116077
1.040778
1.498115
1.493281
2.925732
4.88188
2.683758
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1.498115
0.180654
2.229888
1.384593
1.08207
2.875939
2.674311
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7,645
train
H1
H14
75
75
20
21.333333
22.666667
-0.811282
0.772296
0.825661
0.825134
0.750616
2.060617
0.698629
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0.825661
0.432631
0.680846
0.747359
0.596332
0.4665
0.552142
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7,645
train
H0
H14
100
100
20
25
14
-1.012554
0.909578
1.553357
1.549752
3.5464
3.637025
3.473411
1.549752
1.553357
0.1761
2.401733
1.368406
0.826606
3.66631
3.686183
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7,645
train
H1
H14
100
100
20
20
17
0.149677
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0.240397
0.239565
0.63761
4.283368
0.948548
0.239565
0.240397
0.232447
0.057391
0.003635
0.032483
0.528077
0.59706
0.180557
7,645
train
H0
H14
150
150
20
20
18.666667
0.519408
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0.247777
2.439526
0.412862
0.519408
0.537872
0.486319
0.107177
0.15508
0.289119
0.002234
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0.54468
7,645
train
H1
H14
150
150
20
21.333333
16.666667
-0.347566
0.247192
0.892606
0.89119
2.321257
2.487773
2.207653
0.89119
0.892606
0.3316
0.79422
0.229359
0.061079
1.939941
1.938652
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7,645
train
H0
H14
200
200
20
17.5
19
-0.26911
0.33668
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1.135987
1.408383
0.977921
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0.33668
0.613264
0.020347
0.042599
0.113274
0.399909
0.436709
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7,645
train
H1
H14
200
200
20
17.5
20
-0.175211
0.08999
0.787259
0.79298
3.325396
6.16634
2.615732
0.79298
0.787259
0.103792
0.628817
0.074507
0.008093
2.038556
1.896555
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7,645
train
H0
H14
300
300
20
21.333333
20.666667
0.56263
-0.561387
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0.383398
1.690744
0.368503
0.56263
0.606167
0.570736
0.368401
0.294041
0.315018
0.240274
0.229372
0.566967
7,645
train
H1
H14
300
300
20
22.333333
18.333333
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1.545677
1.609894
1.609887
2.631907
2.690589
2.651434
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1.609894
0.117714
2.591737
2.526559
2.389607
1.627867
1.639993
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7,645
train
H0
H14
500
500
20
19.6
21.8
-0.247832
0.264777
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0.3039
0.763832
0.434365
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0.264777
0.789305
0.000215
0.015499
0.070104
0.116371
0.126218
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7,645
train
H1
H14
500
500
20
21.6
24.4
0.98112
-1.091266
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4.179477
4.33988
3.893347
0.98112
1.091266
0.142748
0.056196
0.68988
1.191107
0.670007
0.648896
1.108696
7,645
train
H0
H14
1,000
1,000
20
20.7
20.4
0.156347
-0.122612
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0.303953
0.425668
0.250765
-0.330854
0.330883
0.882159
0.109465
0.03168
0.015031
0.212606
0.214124
0.124221
7,645
train
H1
H14
1,000
1,000
20
19.6
21.3
-0.107903
0.000408
0.791603
0.792346
2.515623
2.876932
2.972678
0.792346
0.791603
0.226199
0.627812
0.13395
0
2.194162
2.186542
0.000074