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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Q_test
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MIN3_test
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0
1
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84.2
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0
99.4
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106
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WLg_Prentice_test
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0
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7,644
train
H1
H05
300
300
0
0
0
1.682926
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3.10064
4.162443
3.18065
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2.979711
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7,644
train
H0
H05
500
500
0
0
0
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1.857752
1.860742
3.491676
3.888636
3.464491
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3.462363
2.929135
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7,644
train
H1
H05
500
500
0
0
0
2.658193
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7.583333
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2.658193
0.007825
6.584
7.409096
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3.243392
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7,644
train
H0
H05
1,000
1,000
0
0
0
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5.285452
6.764574
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1.07695
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1.163913
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3.814349
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7,644
train
H1
H05
1,000
1,000
0
0
0
3.391421
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13.496837
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14.047201
3.391421
3.391421
0.000693
4.620356
9.166794
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3.392269
7,644
train
H0
H05
20
20
10
20
10
0.89054
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1.3759
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0.89054
0.914236
0.349838
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0.468421
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7,644
train
H1
H05
20
20
10
15
5
0.68102
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1.092903
3.830379
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0.68102
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0.280372
0.047346
0.211224
0.479624
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7,644
train
H0
H05
30
30
10
3.333333
16.666667
0.491803
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0.555619
0.438932
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7,644
train
H1
H05
30
30
10
10
6.666667
0.928722
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1.202304
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0.928722
0.929256
0.342519
0.301163
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0.9492
7,644
train
H0
H05
50
50
10
10
8
0.437505
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0.182206
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2.862412
6.705278
1.934501
0.437505
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0.081909
0.033246
0.114258
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7,644
train
H1
H05
50
50
10
10
10
0.915142
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1.041283
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0.915142
0.925024
0.353907
0.263738
0.532045
0.854652
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0.927037
7,644
train
H0
H05
75
75
10
10.666667
13.333333
0.360886
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4.160604
5.335723
3.760689
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1.069739
0.148801
1.172759
0.35355
0.091712
2.907676
2.790975
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7,644
train
H1
H05
75
75
10
6.666667
14.666667
1.575659
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2.555883
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2.585651
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1.566818
0.115609
2.435222
2.509525
2.456288
1.266285
1.333394
1.573476
7,644
train
H0
H05
100
100
10
9
10
-0.878865
0.918583
0.086199
0.085899
3.201586
3.226388
3.217244
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0.918583
0.200163
0.007379
0.387395
0.843287
0.716952
0.659714
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7,644
train
H1
H05
100
100
10
7
8
3.207992
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11.362478
11.344507
11.828987
3.207992
3.231587
0.001086
5.41517
8.818017
10.610071
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3.267115
7,644
train
H0
H05
150
150
10
12.666667
11.333333
0.212721
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0.287646
2.743267
0.452175
0.212721
0.467881
0.432925
0.218215
0.141183
0.037509
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0.476499
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7,644
train
H1
H05
150
150
10
9.333333
6
1.767718
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3.037444
3.108723
3.169465
1.767718
1.769064
0.075621
2.230877
2.8528
3.13631
0.62467
0.65326
1.776679
7,644
train
H0
H05
200
200
10
9
13
1.037958
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1.128502
1.154943
1.086244
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1.036673
0.296262
0.948021
1.131091
1.074188
0.386274
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1.044484
7,644
train
H1
H05
200
200
10
11.5
12
2.06494
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8.328077
10.296787
7.140238
2.06494
2.09686
0.016205
1.222889
3.42378
4.404122
0.051218
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2.11691
7,644
train
H0
H05
300
300
10
9
12
0.88463
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2.075686
2.815737
2.201585
0.88463
0.923283
0.332607
0.07261
0.480978
0.852375
0.257808
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0.929755
7,644
train
H1
H05
300
300
10
6.666667
8.333333
2.273067
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5.275868
6.257459
5.964853
2.273067
2.286922
0.021605
2.572544
4.156149
5.238976
0.219335
0.212807
2.297248
7,644
train
H0
H05
500
500
10
9.4
9
1.01505
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4.100331
8.452386
2.929203
1.01505
1.045539
0.037531
0.08254
0.776162
1.093378
0.364343
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1.051459
7,644
train
H1
H05
500
500
10
11
11
1.527457
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2.144579
2.782531
2.492659
1.527457
1.537195
0.121606
1.410994
1.91693
2.363902
0.229481
0.216165
1.548066
7,644
train
H0
H05
1,000
1,000
10
9.8
9.4
-0.951317
0.947037
0.819169
0.818552
0.841779
0.781557
0.908974
0.818552
0.947037
0.340768
0.670028
0.792373
0.896837
0.217065
0.224568
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7,644
train
H1
H05
1,000
1,000
10
10.3
10.4
3.646328
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15.483773
15.653268
14.867531
3.646328
3.676747
0.000212
7.25855
11.956248
13.545561
0.971402
1.001839
3.704564
7,644
train
H0
H05
20
20
20
30
35
-0.75971
0.778467
0.457059
0.456253
1.441517
2.008281
1.343168
0.456253
0.778467
0.421377
0.208167
0.447715
0.605733
0.011669
0.002847
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7,644
train
H1
H05
20
20
20
10
35
1.89622
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3.652201
3.883472
3.59678
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1.877693
0.053092
3.210289
3.585747
3.522301
1.354559
1.467232
1.934171
7,644
train
H0
H05
30
30
20
6.666667
23.333333
0.132764
-0.122774
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0.07497
0.188653
0.060224
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0.122774
0.895298
0.00136
0.008875
0.015009
0.03939
0.033032
0.131604
7,644
train
H1
H05
30
30
20
16.666667
10
0.368802
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0.769247
0.790539
11.144807
16.573733
9.846967
0.790539
0.769247
0.000865
0.624952
0.002375
0.271267
3.935694
3.508262
0.50999
7,644
train
H0
H05
50
50
20
18
16
0.524086
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0.594066
1.393814
0.670381
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0.7283
0.604257
0.534185
0.439669
0.262438
0.540306
0.582246
0.518289
7,644
train
H1
H05
50
50
20
14
12
1.209853
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-0.591342
2.180235
5.143927
2.895789
1.209853
1.260404
0.161556
0.349685
0.878937
1.594947
0.095867
0.125201
1.27273
7,644
train
H0
H05
75
75
20
18.666667
13.333333
-0.336442
0.214553
1.399126
1.423201
8.418024
8.431784
8.199853
1.423201
1.399126
0.016574
2.025501
0.484391
0.045994
6.37237
6.20034
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7,644
train
H1
H05
75
75
20
21.333333
14.666667
0.34125
-0.422524
0.422282
0.41954
3.524528
4.210502
3.194494
0.34125
0.422524
0.202453
0.176014
0.016721
0.178284
1.687763
1.484539
0.415121
7,644
train
H0
H05
100
100
20
24
17
-0.829237
0.835654
0.687768
0.68625
0.748463
0.766426
0.732741
-0.829237
0.835654
0.39876
0.470939
0.645031
0.697395
0.14692
0.165503
-0.843839
7,644
train
H1
H05
100
100
20
19
16
0.59242
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0.361077
0.359671
5.117398
5.047381
5.073444
0.59242
0.707708
0.079125
0.129363
0.09692
0.500438
2.106474
1.989108
0.718699
7,644
train
H0
H05
150
150
20
19.333333
14.666667
-0.275282
0.246498
0.687609
0.686575
1.652354
5.765017
1.171065
-0.275282
0.687609
0.123619
0.471385
0.112976
0.06069
1.120004
0.986917
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7,644
train
H1
H05
150
150
20
20
22.666667
2.107638
-2.055461
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5.631735
6.109997
5.563122
-2.35449
2.315502
0.035933
5.543622
4.622442
4.236791
4.218071
4.15564
2.097682
7,644
train
H0
H05
200
200
20
18.5
20.5
-0.713341
0.72644
0.50596
0.504552
0.591763
0.752256
0.63085
0.504552
0.72644
0.459884
0.254573
0.430418
0.527945
0.019848
0.015787
-0.739038
7,644
train
H1
H05
200
200
20
21
19
1.809638
-1.818586
-1.724757
-1.73898
3.328733
3.478549
3.31962
-1.73898
1.818586
0.06485
3.02405
3.42274
3.31367
1.390783
1.374559
1.846291
7,644
train
H0
H05
300
300
20
21.666667
15.666667
0.00171
-0.097454
0.512861
0.512044
1.119944
2.41569
1.503495
0.00171
0.512861
0.471542
0.262189
0.040421
0.009496
1.064589
1.145445
0.098097
7,644
train
H1
H05
300
300
20
17.333333
20.333333
0.869626
-0.824928
-1.165151
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1.501205
1.942634
1.598237
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1.165151
0.403667
1.358212
1.046845
0.68048
1.499493
1.517649
0.835091
7,644
train
H0
H05
500
500
20
20.2
20.4
0.511367
-0.401758
-1.091519
-1.094676
2.594595
2.536542
2.704116
-1.094676
1.091519
0.258707
1.198315
0.493444
0.161372
2.415718
2.376506
0.406418
7,644
train
H1
H05
500
500
20
23.4
24.8
1.715553
-1.722846
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2.765888
3.489177
2.945435
1.715553
1.722846
0.079821
2.465821
2.723374
2.969119
0.913582
0.914856
1.751724
7,644
train
H0
H05
1,000
1,000
20
19.1
19.4
-0.173301
0.205394
-0.001202
-0.001201
0.146021
0.572071
0.184103
-0.173301
0.205394
0.835295
0.000001
0.014306
0.04218
0.04245
0.04539
-0.207916
7,644
train
H1
H05
1,000
1,000
20
21.5
21.6
3.669889
-3.704314
-3.047457
-3.059584
15.259847
16.840945
14.145684
-3.059584
3.704314
0.00017
9.361054
13.439613
13.75174
2.435549
2.449195
3.760527