Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
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Hi
stringclasses
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1k
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99.4
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0.657784
0
train
H0
H28
500
500
20
20
19.8
0.025066
-0.032232
0.01521
0.015206
0.003675
0.872989
0.009669
0.015206
0.032232
0.831941
0.000231
0.002551
0.001039
0.006507
0.006188
0.032502
0
train
H1
H28
500
500
20
17.2
17.8
-1.378899
1.244017
2.275385
2.296379
7.206251
7.243439
8.132112
-1.378899
2.275385
0.017145
5.273355
3.371062
1.552083
7.888556
7.860873
-1.263173
0
train
H0
H28
1,000
1,000
20
21.4
19.5
0.272192
-0.376538
0.470119
0.470206
3.159944
3.115331
3.229925
0.272192
0.470119
0.198898
0.221094
0.003482
0.141779
1.715561
1.68447
0.382284
0
train
H1
H28
1,000
1,000
20
20.5
21.1
-0.043879
-0.082222
0.814198
0.814857
1.858311
13.065443
3.675788
0.814857
0.814198
0.004497
0.663991
0.287353
0.006766
2.424883
2.492957
0.084794
0
train
H0
H28
20
20
30
40
20
-0.255962
0.217461
0.524276
0.513967
0.84123
1.874497
0.705644
0.513967
0.524276
0.598859
0.264162
0.077178
0.046983
0.782333
0.575397
-0.236807
0
train
H1
H28
20
20
30
35
25
-0.249133
0.194637
0.525974
0.518466
0.733128
0.88127
0.769594
0.518466
0.525974
0.680589
0.268807
0.119399
0.037572
0.941866
0.940735
-0.217254
0
train
H0
H28
30
30
30
33.333333
33.333333
1.11196
-1.133253
-1.049345
-1.067306
1.252564
1.310359
1.244374
-1.067306
1.133253
0.247558
1.139143
1.286295
1.28883
0.419128
0.463408
1.156302
0
train
H1
H28
30
30
30
40
36.666667
-0.711989
0.727742
0.678753
0.672179
0.539461
1.387361
0.501627
-0.711989
0.727742
0.446835
0.451824
0.58213
0.527433
0.26774
0.38598
-0.760703
0
train
H0
H28
50
50
30
30
30
-0.686856
0.548146
1.152679
1.170129
3.260088
3.791424
3.10037
1.170129
1.152679
0.212209
1.369202
0.624017
0.300369
3.128149
2.99316
-0.568289
0
train
H1
H28
50
50
30
42
28
-0.351675
0.282059
0.68361
0.67779
1.171314
1.095961
1.228641
0.67779
0.68361
0.541008
0.4594
0.234578
0.079301
1.181613
1.175377
-0.300469
0
train
H0
H28
75
75
30
33.333333
28
0.534824
-0.527581
-0.413625
-0.416014
0.371427
0.506723
0.352491
0.534824
0.527581
0.593494
0.173068
0.24673
0.278383
0.00584
0.009295
0.53378
0
train
H1
H28
75
75
30
32
26.666667
1.209462
-1.32868
-0.895345
-0.904524
1.404742
8.674079
1.914885
1.209462
1.32868
0.033953
0.818164
1.15326
1.772557
0.049011
0.024818
1.341817
0
train
H0
H28
100
100
30
28
30
0.054944
-0.114827
0.263831
0.26319
1.012515
2.786457
0.776468
0.054944
0.263831
0.425734
0.069269
0.0009
0.013166
0.507822
0.456437
0.11328
0
train
H1
H28
100
100
30
37
31
-1.500617
1.41855
1.625198
1.637792
2.714935
2.719807
2.713713
-1.500617
1.625198
0.143222
2.682363
2.362841
2.013633
2.440814
2.417104
-1.463899
0
train
H0
H28
150
150
30
34.666667
32
0.497159
-0.641685
0.062797
0.062761
2.799888
2.996566
2.652645
0.497159
0.641685
0.265452
0.003939
0.162866
0.411806
0.855108
0.825588
0.658664
0
train
H1
H28
150
150
30
27.333333
24
2.090613
-2.214989
-1.353594
-1.366427
6.220746
6.681404
6.760206
2.090613
2.214989
0.022244
1.867124
3.487951
4.921964
0.001485
0.002934
2.286171
0
train
H0
H28
200
200
30
27
27.5
0.878333
-0.813921
-1.11356
-1.123156
1.89837
10.516664
1.500461
-1.123156
1.11356
0.014648
1.26148
0.666055
0.662364
1.511333
1.38825
0.830183
0
train
H1
H28
200
200
30
29.5
34.5
1.97239
-1.92014
-2.114196
-2.132025
4.574131
5.552472
4.551294
1.97239
2.114196
0.047326
4.545531
4.009889
3.689958
3.262277
3.225141
1.983373
0
train
H0
H28
300
300
30
31
31.333333
-0.990877
0.892839
1.223686
1.230988
1.757279
1.799526
1.738642
1.230988
1.223686
0.360798
1.515331
1.07384
0.79706
1.765056
1.755577
-0.913846
0
train
H1
H28
300
300
30
29.333333
34
1.194128
-1.455189
-0.478655
-0.478723
2.917881
14.312538
4.420788
1.194128
1.455189
0.002509
0.229176
0.86552
2.119471
0.424382
0.47162
1.504814
0
train
H0
H28
500
500
30
29.8
30.6
-1.076315
1.133283
0.700616
0.700687
2.246739
3.780527
1.888536
-1.076315
1.133283
0.245586
0.490962
1.131997
1.284431
0.001912
0.000333
-1.161137
0
train
H1
H28
500
500
30
29.4
32.6
1.787415
-1.932312
-1.230899
-1.229568
3.454122
13.132197
4.702219
1.787415
1.932312
0.004359
1.511838
2.278777
3.738459
0.015473
0.00736
1.984476
0
train
H0
H28
1,000
1,000
30
30.6
30.4
-0.087897
0.123679
0.03172
0.031698
0.004836
0.620813
0.026257
0.031698
0.123679
0.891652
0.001005
0.002992
0.015294
0.001532
0.002569
-0.12705
0
train
H1
H28
1,000
1,000
30
29.5
27
-0.238859
-0.096243
1.541536
1.543445
10.28833
17.037986
12.655857
1.543445
1.541536
0.000694
2.382222
0.495538
0.009266
9.003222
9.069486
0.097873
0
train
H0
H28
20
20
40
30
45
0.778933
-0.68876
-1.036535
-1.018744
1.414623
1.735852
1.361647
-1.018744
1.036535
0.459183
1.037838
0.642824
0.473003
1.031914
0.857439
0.740192
0
train
H1
H28
20
20
40
35
50
-0.105301
0.332082
-0.313177
-0.308149
2.025182
2.048582
2.039705
-0.308149
0.332082
0.360648
0.094956
0.009467
0.110305
0.896067
0.7808
-0.31576
0
train
H0
H28
30
30
40
50
46.666667
-0.890488
0.993097
0.848744
0.856218
0.828385
2.769969
0.802869
-0.890488
0.993097
0.30712
0.73311
0.951314
0.99034
0.436854
0.47358
-1.021284
0
train
H1
H28
30
30
40
26.666667
26.666667
0.549836
-0.617613
-0.283441
-0.281476
0.46412
10.151014
0.788518
0.549836
0.617613
0.017325
0.079229
0.157856
0.381322
0.057278
0.091629
0.631165
0
train
H0
H28
50
50
40
38
42
0.176344
-0.260452
0.1172
0.117264
0.929384
1.144243
0.853848
0.117264
0.260452
0.652513
0.013751
0.019914
0.067631
0.485207
0.447711
0.277738
0
train
H1
H28
50
50
40
28
32
1.69082
-1.671566
-1.559801
-1.565788
2.754987
3.316876
2.894862
-1.565788
1.671566
0.083527
2.451691
2.575768
2.824212
0.857301
0.890796
1.730577
0
train
H0
H28
75
75
40
38.666667
45.333333
0.608228
-0.451576
-1.00883
-1.010318
2.680807
3.465987
2.803121
-1.010318
1.00883
0.246212
1.020743
0.510702
0.203744
2.276981
2.377546
0.478981
0
train
H1
H28
75
75
40
42.666667
44
0.211968
-0.219487
-0.296481
-0.294336
0.295367
9.169524
0.136059
-0.294336
0.296481
0.02712
0.086634
0.00825
0.048121
0.180488
0.058523
0.229685
0
train
H0
H28
100
100
40
34
43
2.087927
-1.941456
-2.33806
-2.365796
6.103818
8.130805
5.969342
2.087927
2.33806
0.043384
5.59699
4.383489
3.782272
5.091216
4.877872
2.001278
0
train
H1
H28
100
100
40
43
44
-0.323562
0.155456
0.579957
0.581988
0.881925
2.250761
0.986192
-0.323562
0.579957
0.522019
0.33871
0.140277
0.02463
0.988955
1.036649
-0.163478
0
train
H0
H28
150
150
40
42
42.666667
0.042473
0.06774
-0.281862
-0.28248
0.603081
1.674506
0.7168
-0.28248
0.281862
0.642617
0.079795
0.014437
0.004586
0.366994
0.378006
-0.067603
0
train
H1
H28
150
150
40
38.666667
40
0.800118
-1.025177
-0.19693
-0.196459
3.278695
12.166715
4.104352
0.800118
1.025177
0.006833
0.038596
0.34734
1.050914
0.786971
0.859017
1.054572
0
train
H0
H28
200
200
40
40
45.5
0.814536
-0.673104
-1.054841
-1.052246
1.515874
1.610878
1.470783
-1.052246
1.054841
0.479318
1.107222
0.641096
0.452835
1.376023
1.362683
0.702684
0
train
H1
H28
200
200
40
40.5
40
0.251071
-0.329553
-0.057132
-0.057244
0.282136
2.57629
0.419809
0.251071
0.329553
0.461661
0.003277
0.0237
0.108667
0.109552
0.121172
0.340767
0
train
H0
H28
300
300
40
40
36.333333
-0.90655
0.73555
1.232005
1.230806
2.021348
2.289373
2.091859
1.230806
1.232005
0.351365
1.514883
0.92855
0.540968
2.222387
2.226354
-0.765375
0
train
H1
H28
300
300
40
43.333333
36
0.383895
-1.129304
1.491209
1.497408
34.161705
34.263059
34.971818
1.497408
1.491209
0
2.242231
0.011077
1.277801
17.276812
17.110052
1.159084
0
train
H0
H28
500
500
40
42.6
37.2
-2.027006
2.295708
1.29766
1.298296
8.519394
8.626206
8.536757
-2.027006
2.295708
0.014004
1.685573
3.821627
5.27362
0.157461
0.15077
-2.364654
0
train
H1
H28
500
500
40
42.6
40.4
1.933784
-2.339189
-0.873976
-0.874815
13.913397
14.148186
14.261837
1.933784
2.339189
0.0008
0.765302
3.242336
5.48195
1.335031
1.331978
2.418952
0
train
H0
H28
1,000
1,000
40
39.3
41.1
-0.110389
0.247717
-0.184548
-0.184479
0.835505
0.879438
0.874376
-0.110389
0.247717
0.64585
0.034033
0.005348
0.061354
0.416784
0.416949
-0.255881
0
train
H1
H28
1,000
1,000
40
39.5
44.1
3.04208
-3.29773
-2.346556
-2.346534
11.241011
25.471506
12.816154
-2.346534
3.29773
0.000012
5.506223
7.913897
10.885101
0.336039
0.307436
3.413481