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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perc
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84.2
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99.4
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0.336185
0.77802
0.411651
0.11302
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7,643
train
H1
H24
300
300
50
46.666667
46.333333
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0.851483
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8.079394
9.138413
8.541826
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0.851483
0.013969
0.150993
0.100469
0.725948
3.673366
3.587047
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7,643
train
H0
H24
500
500
50
49
51.6
1.210465
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1.57021
2.415056
1.509261
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1.196499
0.202089
1.221143
1.512147
1.430166
0.36197
0.407418
1.275623
7,643
train
H1
H24
500
500
50
50
48.6
-0.451981
0.811492
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3.381601
11.514694
4.236031
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0.811492
0.009245
0.010927
0.085977
0.658796
1.578175
1.575862
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7,643
train
H0
H24
1,000
1,000
50
50.7
48.7
-0.800546
0.537589
1.321833
1.324105
5.235846
12.03219
4.629216
1.324105
1.321833
0.007274
1.753254
0.545313
0.289044
4.153802
4.057775
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7,643
train
H1
H24
1,000
1,000
50
51.4
51.2
-1.121994
1.583255
0.534539
0.53458
4.285344
30.389086
5.830408
0.53458
1.583255
0.000001
0.285776
0.869993
2.508451
0.873662
0.937617
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7,643
train
H0
H25
20
20
0
0
0
-1.163154
1.163154
1.281762
1.28052
1.647086
1.659695
1.64245
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1.281762
0.238808
1.639732
1.571573
1.354083
1.251703
1.364692
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7,643
train
H1
H25
20
20
0
0
0
-0.892653
0.892653
0.354502
0.349848
1.935474
2.152611
1.68207
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0.892653
0.365982
0.122394
0.543279
0.796053
0.144749
0.076252
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7,643
train
H0
H25
30
30
0
0
0
-0.059138
0.059138
-0.405906
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0.823785
0.779455
0.900756
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0.405906
0.637387
0.159125
0.019138
0.003477
0.49168
0.454568
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7,643
train
H1
H25
30
30
0
0
0
1.330598
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4.466013
6.532171
3.431104
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1.330598
0.088402
0.361795
1.357641
1.784337
0.062061
0.012229
1.341827
7,643
train
H0
H25
50
50
0
0
0
-0.041363
0.041363
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0.201155
11.675977
0.88318
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0.402381
0.00858
0.163952
0.11253
0.001718
0.662372
0.940565
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7,643
train
H1
H25
50
50
0
0
0
-0.041363
0.041363
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5.123637
6.375192
4.36766
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0.881932
0.094717
0.804515
0.080905
0.001708
3.059597
2.847891
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7,643
train
H0
H25
75
75
0
0
0
0.475479
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0.143096
0.142201
1.429277
1.270149
1.541202
0.475479
0.475479
0.462735
0.020221
0.053829
0.225708
0.584294
0.520137
0.473881
7,643
train
H1
H25
75
75
0
0
0
-1.516647
1.516647
0.703929
0.699087
2.83745
5.787471
3.922376
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1.516647
0.122421
0.488723
1.353655
2.309001
0.14414
0.187678
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7,643
train
H0
H25
100
100
0
0
0
-1.270562
1.270562
1.043606
1.039438
1.632816
1.637013
1.633799
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1.270562
0.202752
1.080432
1.477139
1.614367
0.287965
0.35698
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7,643
train
H1
H25
100
100
0
0
0
-0.957808
0.957808
0.677317
0.676724
0.504466
7.036792
1.030187
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0.957808
0.070734
0.457955
0.505827
0.918518
0.041636
0.016256
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7,643
train
H0
H25
150
150
0
0
0
-0.408653
0.408653
0.027454
0.027385
1.079182
2.3903
0.615532
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0.408653
0.495443
0.00075
0.120688
0.16682
0.126548
0.088646
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7,643
train
H1
H25
150
150
0
0
0
0.732114
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3.70753
7.893743
2.237135
0.732114
0.732114
0.04826
0.000249
0.361245
0.535774
0.508141
0.418838
0.733337
7,643
train
H0
H25
200
200
0
0
0
-0.256024
0.256024
-0.193324
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0.628756
0.689283
0.781363
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0.256024
0.676596
0.037295
0.002069
0.065521
0.351694
0.303926
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7,643
train
H1
H25
200
200
0
0
0
-0.325219
0.325219
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0.426017
0.943914
0.847247
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0.325219
0.65467
0.020143
0.00655
0.105707
0.329356
0.324748
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7,643
train
H0
H25
300
300
0
0
0
-0.67025
0.67025
0.081885
0.081841
2.001932
3.285146
1.481384
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0.67025
0.349715
0.006698
0.267516
0.449019
0.278775
0.232087
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7,643
train
H1
H25
300
300
0
0
0
-1.527492
1.527492
1.546658
1.549351
2.400642
4.059644
2.532654
-1.527492
1.546658
0.126322
2.400487
2.190487
2.3347
1.349347
1.291216
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7,643
train
H0
H25
500
500
0
0
0
0.07073
-0.07073
0.567781
0.567243
1.519851
1.620984
1.606695
0.07073
0.567781
0.447827
0.321765
0.028088
0.005001
1.145263
1.128584
0.070766
7,643
train
H1
H25
500
500
0
0
0
-1.654172
1.654172
1.609467
1.611036
2.624132
5.431587
2.859838
-1.654172
1.654172
0.097925
2.595437
2.540028
2.737429
1.311481
1.247751
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7,643
train
H0
H25
1,000
1,000
0
0
0
0.66529
-0.66529
-0.419616
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0.625418
1.16934
0.542287
0.66529
0.66529
0.505759
0.17582
0.354401
0.442569
0.003073
0.006204
0.665456
7,643
train
H1
H25
1,000
1,000
0
0
0
0.827295
-0.827295
0.276393
0.277231
7.15958
11.304319
4.767989
0.827295
0.827295
0.010189
0.076857
0.338962
0.684486
1.688139
1.617718
0.827502
7,643
train
H0
H25
20
20
10
10
5
2.002949
-2.00029
-1.96461
-2.109159
4.510817
4.528614
4.499824
-2.109159
2.00029
0.039905
4.448551
4.469404
4.124445
2.751519
2.819445
2.054732
7,643
train
H1
H25
20
20
10
15
10
-0.690452
0.652062
0.868486
0.861132
0.747938
2.954372
0.796428
0.861132
0.868486
0.398714
0.741549
0.645385
0.42229
0.89029
1.19419
-0.662069
7,643
train
H0
H25
30
30
10
6.666667
6.666667
-0.37595
0.379323
0.594204
0.58865
0.348813
3.707033
0.462177
-0.37595
0.594204
0.294887
0.346509
0.314635
0.143266
0.500203
0.760242
-0.382557
7,643
train
H1
H25
30
30
10
6.666667
10
-0.04225
0.059929
-0.461272
-0.46022
1.412596
1.57228
1.41138
-0.46022
0.461272
0.493768
0.211803
0.022153
0.003572
0.836559
0.820724
-0.051342
7,643
train
H0
H25
50
50
10
14
10
-0.586782
0.613914
0.316677
0.313606
0.296874
2.477197
0.57495
-0.586782
0.613914
0.479426
0.098349
0.179111
0.376176
0.002658
0.009673
-0.62221
7,643
train
H1
H25
50
50
10
16
4
-0.34806
0.359437
0.006933
0.006951
0.754504
1.106098
0.654316
-0.34806
0.359437
0.715218
0.000048
0.059362
0.12896
0.163118
0.121143
-0.364857
7,643
train
H0
H25
75
75
10
10.666667
5.333333
-1.459265
1.460438
1.117872
1.112955
1.95306
4.686269
2.309671
-1.459265
1.460438
0.143366
1.23867
1.709024
2.136989
0.16222
0.126498
-1.463371
7,643
train
H1
H25
75
75
10
10.666667
5.333333
-1.173877
1.170538
1.165558
1.165056
1.371763
4.328861
1.444651
-1.173877
1.170538
0.228073
1.357356
1.330173
1.373949
0.753965
0.644673
-1.178571
7,643
train
H0
H25
100
100
10
7
10
0.105895
-0.076604
-0.515071
-0.514877
0.575242
3.886161
0.874331
-0.514877
0.515071
0.274022
0.265098
0.093961
0.005863
0.665084
0.795631
0.078661
7,643
train
H1
H25
100
100
10
9
7
0.405958
-0.376763
-0.893879
-0.895478
1.248603
3.272042
1.544313
0.405958
0.893879
0.351553
0.801881
0.409405
0.141927
1.407532
1.595805
0.383807
7,643
train
H0
H25
150
150
10
7.333333
9.333333
-0.889417
0.859469
1.400195
1.412166
2.747176
2.923947
2.694636
1.412166
1.400195
0.259936
1.994214
1.21665
0.73904
2.814853
2.73084
-0.867718
7,643
train
H1
H25
150
150
10
12
11.333333
0.107538
-0.133384
0.190527
0.189703
0.527264
0.62951
0.421082
0.189703
0.190527
0.810146
0.035987
0.002715
0.017769
0.248316
0.233494
0.135122
7,643
train
H0
H25
200
200
10
12.5
8.5
-2.097862
2.080314
2.232731
2.244867
5.067093
5.05358
5.076347
2.244867
2.232731
0.035258
5.039427
4.783934
4.332214
3.358877
3.421497
-2.105387
7,643
train
H1
H25
200
200
10
11
10.5
-0.228797
0.224542
0.478149
0.477001
0.436679
0.551503
0.412601
0.477001
0.478149
0.813589
0.22753
0.100199
0.05039
0.409096
0.362718
-0.228935
7,643
train
H0
H25
300
300
10
14
11.333333
-1.058128
1.015416
1.505906
1.50852
2.535607
4.568202
2.760778
1.50852
1.505906
0.206287
2.275633
1.684633
1.030961
2.779522
2.920227
-1.025583
7,643
train
H1
H25
300
300
10
10.333333
14
2.297203
-2.303451
-2.075436
-2.079066
5.678037
6.560252
5.287802
-2.079066
2.303451
0.020289
4.322516
5.508444
5.315695
1.743846
1.7881
2.320961
7,643
train
H0
H25
500
500
10
8.8
8.4
-0.115178
0.101164
0.341129
0.340593
0.158039
1.856691
0.283373
0.340593
0.341129
0.602677
0.116004
0.062342
0.01023
0.269015
0.309485
-0.101448
7,643
train
H1
H25
500
500
10
7.8
9
1.92185
-1.866683
-2.352048
-2.362501
5.607598
11.28404
5.723253
-2.362501
2.352048
0.010285
5.581409
5.221185
3.487812
5.084436
5.271607
1.883952
7,643
train
H0
H25
1,000
1,000
10
8.7
9.8
-0.175184
0.19343
-0.153154
-0.153104
0.204085
2.304964
0.491803
-0.153104
0.19343
0.511571
0.023441
0.000131
0.037413
0.226884
0.231141
-0.194623
7,643
train
H1
H25
1,000
1,000
10
10.8
10.3
0.363397
-0.313039
-1.027079
-1.027262
1.737175
3.684469
2.540452
-1.027262
1.027079
0.280768
1.055268
0.529799
0.098016
2.270023
2.306277
0.315965