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
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1k
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99.4
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4.012929
0.857548
0.80043
2.113724
1
train
H0
H28
500
500
50
49.6
46.6
-0.482056
0.554863
0.405103
0.404674
0.214724
1.053118
0.274146
0.404674
0.554863
0.562944
0.163761
0.168358
0.307818
0.024066
0.024849
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1
train
H1
H28
500
500
50
48.8
53.2
0.811332
-0.733223
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1.000565
2.596106
0.941634
-0.924083
0.924755
0.439892
0.85393
0.561731
0.537502
0.823933
0.840341
0.772376
1
train
H0
H28
1,000
1,000
50
52.5
49.4
-1.639375
1.299535
2.061783
2.064089
6.217915
6.390816
6.138634
2.064089
2.061783
0.046453
4.260463
2.533673
1.689022
6.295712
6.271458
-1.357341
1
train
H1
H28
1,000
1,000
50
49.1
51.8
2.059357
-2.465478
-1.405023
-1.405176
8.073854
19.740215
9.166543
-1.405176
2.465478
0.000192
1.974519
3.703998
6.082018
0.06705
0.063398
2.583303
1
train
H0
H29
20
20
0
0
0
1.379555
-1.379555
-1.673571
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3.318105
3.935556
3.216389
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1.673571
0.162375
2.987423
2.345891
1.908641
2.788568
2.676774
1.397129
1
train
H1
H29
20
20
0
0
0
0.730352
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-0.763802
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0.575286
2.892238
0.587797
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0.763802
0.40854
0.574183
0.523432
0.531148
0.303727
0.220434
0.739657
1
train
H0
H29
30
30
0
0
0
0.221766
-0.221766
0.042388
0.04153
0.296472
0.307476
0.290346
0.221766
0.221766
0.823039
0.001725
0.015308
0.048852
0.14665
0.116712
0.223638
1
train
H1
H29
30
30
0
0
0
1.463658
-1.463658
-0.553346
-0.551037
4.892599
4.819907
4.699409
1.463658
1.463658
0.095397
0.303641
1.315994
2.152056
0.283876
0.186846
1.47601
1
train
H0
H29
50
50
0
0
0
-0.32401
0.32401
0.614743
0.613245
0.78535
3.088887
0.58893
-0.32401
0.614743
0.378123
0.376069
0.166744
0.104677
0.669539
0.559294
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1
train
H1
H29
50
50
0
0
0
1.420127
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-0.756646
-0.748599
2.19656
4.605092
3.05148
1.420127
1.420127
0.153499
0.560401
1.236116
2.025343
0.014494
0.028926
1.427281
1
train
H0
H29
75
75
0
0
0
-1.482818
1.482818
1.712454
1.723981
2.980673
2.992079
2.976834
1.723981
1.712454
0.139452
2.972112
2.584424
2.201985
2.414281
2.474976
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1
train
H1
H29
75
75
0
0
0
-0.358959
0.358959
0.75417
0.750375
0.859612
0.824709
0.93607
-0.358959
0.75417
0.626232
0.563063
0.315516
0.128829
0.979265
0.923519
-0.357752
1
train
H0
H29
100
100
0
0
0
2.497143
-2.497143
-2.214375
-2.232406
6.496736
6.908731
6.302874
-2.232406
2.497143
0.0123
4.983636
6.381062
6.294253
2.037404
2.102978
2.50341
1
train
H1
H29
100
100
0
0
0
0.386055
-0.386055
0.176932
0.175839
0.691487
2.632019
1.237627
0.175839
0.386055
0.451904
0.030919
0.009523
0.148908
0.526733
0.619836
0.387024
1
train
H0
H29
150
150
0
0
0
1.146091
-1.146091
-1.370462
-1.371046
1.943417
2.378291
1.890601
1.146091
1.370462
0.250966
1.879768
1.491841
1.313182
1.466656
1.407544
1.148006
1
train
H1
H29
150
150
0
0
0
0.555076
-0.555076
0.106236
0.105777
0.984128
2.473603
1.731393
0.555076
0.555076
0.420758
0.011189
0.045725
0.308285
0.570724
0.642839
0.556003
1
train
H0
H29
200
200
0
0
0
1.073397
-1.073397
-1.034594
-1.031758
1.274762
1.383753
1.192465
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1.073397
0.282491
1.064525
1.285152
1.152195
0.498114
0.492237
1.074741
1
train
H1
H29
200
200
0
0
0
3.712344
-3.712344
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13.150266
14.925751
14.033823
3.712344
3.712344
0.000202
11.887922
13.125466
13.90052
5.30488
5.258121
3.716993
1
train
H0
H29
300
300
0
0
0
0.862423
-0.862423
-0.611887
-0.611315
0.992026
1.093447
0.821677
0.862423
0.862423
0.388059
0.373706
0.690008
0.743491
0.034175
0.031592
0.863143
1
train
H1
H29
300
300
0
0
0
2.631074
-2.631074
-3.004408
-3.063493
10.162028
22.556073
9.408668
2.631074
3.004408
0.00005
9.38499
7.083535
6.940677
7.466688
7.294517
2.633269
1
train
H0
H29
500
500
0
0
0
-0.745187
0.745187
0.702583
0.701338
0.504557
1.159176
0.567428
-0.745187
0.745187
0.455933
0.491875
0.508292
0.555164
0.234226
0.2168
-0.74556
1
train
H1
H29
500
500
0
0
0
2.619871
-2.619871
-0.997357
-0.9975
7.61316
17.545163
13.491748
2.619871
2.619871
0.000546
0.995006
3.290348
6.885485
0.644567
0.70728
2.621182
1
train
H0
H29
1,000
1,000
0
0
0
-0.480362
0.480362
0.295956
0.295623
0.173086
0.119762
0.289183
-0.480362
0.480362
0.630884
0.087393
0.134
0.230711
0.001636
0.003139
-0.480482
1
train
H1
H29
1,000
1,000
0
0
0
2.547399
-2.547399
-0.157785
-0.158061
12.355869
36.229293
23.628183
2.547399
2.547399
0
0.024983
1.810849
6.504575
4.762516
4.947287
2.548036
1
train
H0
H29
20
20
10
10
15
0.123255
-0.111391
-0.323161
-0.315051
0.303241
0.569721
0.238405
0.123255
0.323161
0.887628
0.099257
0.026417
0.012294
0.142947
0.091597
0.125681
1
train
H1
H29
20
20
10
10
5
1.601939
-1.61069
-1.133464
-1.142879
3.302247
3.486402
3.148199
-1.142879
1.61069
0.104479
1.306173
2.169421
2.615626
0.085599
0.145331
1.623515
1
train
H0
H29
30
30
10
6.666667
6.666667
0.46631
-0.47419
-0.097723
-0.096351
0.557686
1.196403
0.729058
0.46631
0.47419
0.635422
0.009284
0.090111
0.223886
0.158289
0.175312
0.474109
1
train
H1
H29
30
30
10
6.666667
3.333333
2.007884
-2.021193
-1.555902
-1.577389
4.260259
4.658463
4.357689
-1.577389
2.021193
0.040771
2.488155
3.637396
4.145336
0.527443
0.580783
2.045847
1
train
H0
H29
50
50
10
12
4
-1.82662
1.806447
2.124676
2.170556
5.011245
8.587641
4.829352
-1.82662
2.124676
0.035307
4.711312
3.773584
3.276464
4.502122
4.308279
-1.828404
1
train
H1
H29
50
50
10
12
8
0.757102
-0.809233
0.181681
0.181105
3.489904
7.954232
4.555526
0.181105
0.809233
0.046967
0.032799
0.12191
0.655227
1.349926
1.533552
0.814415
1
train
H0
H29
75
75
10
8
12
0.362918
-0.37272
-0.013327
-0.013228
0.743252
1.218825
0.613212
0.362918
0.37272
0.71131
0.000175
0.069021
0.138634
0.182667
0.132565
0.370097
1
train
H1
H29
75
75
10
9.333333
13.333333
0.954096
-1.019275
-0.368141
-0.367145
0.945835
12.064582
2.147964
0.954096
1.019275
0.007165
0.134796
0.387309
1.041343
0.141481
0.261115
1.030111
1
train
H0
H29
100
100
10
5
5
-1.077776
1.082213
0.796594
0.792174
1.206806
1.265927
1.279891
-1.077776
1.082213
0.277377
0.627539
0.976206
1.171164
0.085404
0.092728
-1.08623
1
train
H1
H29
100
100
10
8
9
2.896061
-2.933179
-2.287695
-2.310245
7.460637
15.913645
8.906747
2.896061
2.933179
0.001181
5.337232
7.030426
8.707092
1.189061
1.093262
2.964566
1
train
H0
H29
150
150
10
8.666667
15.333333
0.705525
-0.678415
-1.067649
-1.064112
1.483916
1.471665
1.464849
0.705525
1.067649
0.480742
1.132334
0.705766
0.459793
1.383222
1.370383
0.685701
1
train
H1
H29
150
150
10
10.666667
8
0.435025
-0.456822
0.167468
0.166673
1.914549
2.443316
1.678379
0.166673
0.456822
0.43206
0.02778
0.062379
0.208475
0.658705
0.547242
0.458409
1
train
H0
H29
200
200
10
12
10.5
0.87883
-0.902622
-0.460442
-0.460458
1.825737
2.735361
1.326933
-0.460458
0.902622
0.363751
0.212022
0.705798
0.815057
0.017128
0.008345
0.90824
1
train
H1
H29
200
200
10
9.5
11
0.469878
-0.485268
-0.13099
-0.130782
0.113089
6.360614
0.647206
0.469878
0.485268
0.095325
0.017104
0.034347
0.235708
0.072542
0.118111
0.48963
1
train
H0
H29
300
300
10
9.333333
10.333333
-1.177638
1.183126
1.088676
1.088551
1.258711
2.362081
1.394471
-1.177638
1.183126
0.233218
1.184944
1.261338
1.400487
0.50923
0.491466
-1.192109
1
train
H1
H29
300
300
10
9.666667
8.666667
1.315176
-1.296306
-1.351742
-1.355399
1.848825
4.113879
1.891898
-1.355399
1.351742
0.191548
1.837107
1.507936
1.68151
1.078912
1.036477
1.306012
1
train
H0
H29
500
500
10
9.6
7.6
-1.411098
1.395311
1.500646
1.500722
2.255889
2.423953
2.282231
1.500722
1.500646
0.159957
2.252167
2.052682
1.947139
1.461196
1.416655
-1.405215
1
train
H1
H29
500
500
10
9.8
10
2.605812
-2.661611
-1.271181
-1.272338
7.413698
23.64002
12.360217
2.605812
2.661611
0.00003
1.618843
3.616924
7.109061
0.223074
0.25464
2.677973
1
train
H0
H29
1,000
1,000
10
10
10.6
-0.653213
0.665272
0.524293
0.524176
0.309863
2.096435
0.444418
-0.653213
0.665272
0.503256
0.27476
0.319781
0.442542
0.060726
0.05803
-0.669376
1
train
H1
H29
1,000
1,000
10
10.6
11.3
2.007211
-2.090308
-0.270456
-0.27056
9.564112
20.765072
15.764766
2.007211
2.090308
0.000118
0.073203
1.276845
4.379408
2.886781
2.986302
2.106025