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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99.4
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train
H1
H23
300
300
50
49.666667
48.666667
-1.143129
1.365363
0.605682
0.605333
3.319735
4.006475
3.488809
-1.143129
1.365363
0.128736
0.366428
1.252731
1.889557
0.26457
0.269408
-1.519104
1
train
H0
H23
500
500
50
50
49.6
0.516982
-0.48718
-0.52328
-0.523113
0.308198
2.423586
0.278488
-0.523113
0.52328
0.489259
0.273647
0.301755
0.227378
0.141141
0.174529
0.536784
1
train
H1
H23
500
500
50
49.6
49.6
0.384005
-0.397197
-0.349709
-0.349544
0.142147
0.220097
0.149154
-0.349544
0.397197
0.665032
0.122181
0.136989
0.150849
0.027045
0.023519
0.432976
1
train
H0
H23
1,000
1,000
50
50.9
48.4
0.906021
-1.329671
0.021413
0.021424
6.947839
6.595885
7.078662
0.906021
1.329671
0.029033
0.000459
0.722256
1.754357
2.26178
2.201027
1.482129
1
train
H1
H23
1,000
1,000
50
49.1
50.6
-0.609965
1.171414
-0.555616
-0.556072
11.907244
12.626169
12.650548
-0.556072
1.171414
0.00179
0.309216
0.245177
1.386569
6.030996
6.001544
-1.317026
1
train
H0
H24
20
20
0
0
0
1.677106
-1.677106
-1.90988
-2.001125
4.199181
4.506351
4.139123
1.677106
1.90988
0.089419
4.0045
3.354752
2.842144
3.266594
3.208066
1.698471
1
train
H1
H24
20
20
0
0
0
0.378701
-0.378701
0.327452
0.328069
2.975545
4.590615
2.545462
0.378701
0.378701
0.204349
0.107629
0.013935
0.142261
1.214103
1.019894
0.383526
1
train
H0
H24
30
30
0
0
0
0.310473
-0.310473
-0.019614
-0.019414
0.736987
2.903642
0.39203
0.310473
0.310473
0.406722
0.000377
0.076023
0.095927
0.104604
0.048131
0.313093
1
train
H1
H24
30
30
0
0
0
-1.478443
1.478443
2.088517
2.212484
7.168437
8.903722
6.863005
2.212484
2.088517
0.030599
4.895085
3.280991
2.198648
7.540454
7.370091
-1.490919
1
train
H0
H24
50
50
0
0
0
-0.420523
0.420523
0.814557
0.807504
0.898417
0.873578
1.004308
0.807504
0.814557
0.605226
0.652063
0.384442
0.176474
1.09489
1.101674
-0.422642
1
train
H1
H24
50
50
0
0
0
0.806577
-0.806577
-1.162096
-1.170998
1.397089
5.3082
1.609219
-1.170998
1.162096
0.150571
1.371236
1.109567
0.650208
1.564207
1.90914
0.81064
1
train
H0
H24
75
75
0
0
0
0.88518
-0.88518
-0.163479
-0.16217
2.060396
2.012978
2.334222
0.88518
0.88518
0.311265
0.026299
0.364347
0.783591
0.381472
0.345819
0.882205
1
train
H1
H24
75
75
0
0
0
-0.588241
0.588241
-0.335219
-0.33683
4.238264
5.624477
3.673834
-0.33683
0.588241
0.13138
0.113454
0.068826
0.345425
1.510734
1.34204
-0.586264
1
train
H0
H24
100
100
0
0
0
0.701253
-0.701253
-0.096613
-0.096147
1.779488
1.817437
1.600038
0.701253
0.701253
0.44932
0.009244
0.264652
0.491228
0.310417
0.269164
0.703012
1
train
H1
H24
100
100
0
0
0
-0.124613
0.124613
0.346308
0.347915
0.934999
8.663452
0.266345
0.347915
0.346308
0.034117
0.121045
0.003649
0.015513
0.240553
0.16771
-0.124926
1
train
H0
H24
150
150
0
0
0
0.447255
-0.447255
0.1227
0.12211
1.171301
1.136102
1.269725
0.447255
0.447255
0.530008
0.014911
0.054537
0.199869
0.46317
0.43661
0.448002
1
train
H1
H24
150
150
0
0
0
2.013979
-2.013979
-1.473503
-1.485659
5.976948
11.281477
4.402346
-1.485659
2.013979
0.010297
2.207182
4.030313
4.069254
0.374104
0.495537
2.017345
1
train
H0
H24
200
200
0
0
0
0.247374
-0.247374
0.124289
0.124286
0.026906
7.75209
0.53973
0.247374
0.247374
0.051423
0.015447
0.004402
0.06121
0.206717
0.278571
0.247684
1
train
H1
H24
200
200
0
0
0
1.697022
-1.697022
-1.721589
-1.7313
4.060545
9.053879
3.150734
-1.7313
1.721589
0.028583
2.997399
3.886011
2.891236
1.866685
2.108832
1.699147
1
train
H0
H24
300
300
0
0
0
0.809199
-0.809199
-0.129161
-0.128879
1.991869
1.853732
1.993194
0.809199
0.809199
0.369134
0.01661
0.329458
0.654711
0.353044
0.32476
0.809874
1
train
H1
H24
300
300
0
0
0
0.85159
-0.85159
-0.337501
-0.337441
2.036125
3.636306
1.393344
-0.337441
0.85159
0.303509
0.113866
0.579204
0.725208
0.071861
0.048346
0.852301
1
train
H0
H24
500
500
0
0
0
-0.432047
0.432047
0.388635
0.388029
0.150567
0.177147
0.187324
0.388029
0.432047
0.66555
0.150567
0.126543
0.18661
0.062561
0.071312
-0.432263
1
train
H1
H24
500
500
0
0
0
0.612705
-0.612705
-0.847566
-0.847071
0.751889
3.218255
0.777929
0.612705
0.847566
0.359183
0.717529
0.732712
0.375558
0.742632
0.815025
0.613011
1
train
H0
H24
1,000
1,000
0
0
0
-0.21025
0.21025
0.470597
0.470286
0.455295
1.083865
0.378345
0.470286
0.470597
0.78097
0.221169
0.090958
0.044197
0.380851
0.353935
-0.210303
1
train
H1
H24
1,000
1,000
0
0
0
2.33196
-2.33196
-1.600785
-1.607964
10.340859
14.985783
6.171748
-1.607964
2.33196
0.001829
2.585549
5.96091
5.447712
0.309405
0.33688
2.332543
1
train
H0
H24
20
20
10
5
10
0.922924
-0.923567
-0.950553
-0.954039
0.952176
1.585345
0.925777
-0.954039
0.950553
0.347699
0.910191
0.968988
0.851409
0.449834
0.543205
0.939062
1
train
H1
H24
20
20
10
10
5
0.161652
-0.162744
-0.556342
-0.55594
0.676913
4.91553
1.028214
-0.55594
0.556342
0.178088
0.309069
0.16717
0.026451
0.702449
0.879638
0.170203
1
train
H0
H24
30
30
10
0
6.666667
1.537931
-1.545155
-1.061813
-1.0505
2.608817
2.804764
2.836797
1.537931
1.545155
0.119339
1.10355
1.854277
2.396234
0.049168
0.061934
1.557553
1
train
H1
H24
30
30
10
13.333333
13.333333
-0.360378
0.359327
0.49543
0.498894
0.253404
4.133409
0.315767
0.498894
0.49543
0.247414
0.248895
0.241385
0.128686
0.345244
0.453369
-0.359944
1
train
H0
H24
50
50
10
10
10
-0.804297
0.820057
0.525584
0.520008
1.017574
1.337411
0.849533
-0.804297
0.820057
0.411522
0.270408
0.583886
0.670939
0.004095
0.019427
-0.821218
1
train
H1
H24
50
50
10
8
8
-0.161085
0.157072
-0.012988
-0.012937
0.198782
0.345777
0.153703
-0.161085
0.157072
0.87432
0.000167
0.011718
0.02469
0.039209
0.022493
-0.158173
1
train
H0
H24
75
75
10
8
14.666667
0.945724
-0.889961
-1.509838
-1.515251
3.213449
3.096625
3.291062
-1.515251
1.509838
0.19291
2.295984
1.382873
0.792565
3.130044
2.996079
0.897453
1
train
H1
H24
75
75
10
9.333333
12
0.827696
-0.803481
-1.244411
-1.245541
1.875952
2.096328
2.014033
-1.245541
1.244411
0.365307
1.551373
1.073695
0.642365
1.858785
1.888659
0.809323
1
train
H0
H24
100
100
10
13
10
0.977284
-1.017379
-0.243253
-0.242378
3.061392
3.240166
3.180341
-0.242378
1.017379
0.203891
0.058747
0.530318
1.035668
0.428854
0.390642
1.019272
1
train
H1
H24
100
100
10
12
13
-0.281122
0.304104
-0.024877
-0.024741
0.372952
0.683671
0.479821
-0.024741
0.304104
0.758608
0.000612
0.022151
0.092369
0.113757
0.138731
-0.307309
1
train
H0
H24
150
150
10
9.333333
7.333333
-0.585279
0.556201
1.315442
1.3292
3.978371
4.245391
3.716464
1.3292
1.315442
0.155948
1.766772
0.727055
0.309037
3.559807
3.461988
-0.549758
1
train
H1
H24
150
150
10
12.666667
12
-1.941334
1.934778
1.603606
1.607988
3.60326
3.402047
3.889106
-1.941334
1.934778
0.051268
2.585624
3.246234
3.750487
0.587085
0.635519
-1.949233
1
train
H0
H24
200
200
10
11
13
0.485164
-0.474666
-0.783572
-0.782222
0.766885
0.721681
0.857621
-0.782222
0.783572
0.631193
0.611872
0.422341
0.225212
0.82465
0.771792
0.480048
1
train
H1
H24
200
200
10
12
11
-0.415309
0.456336
-0.049619
-0.049527
0.639975
1.351402
1.060771
-0.049527
0.456336
0.588378
0.002453
0.035353
0.208214
0.304415
0.314181
-0.459937
1
train
H0
H24
300
300
10
12
10.666667
-1.166891
1.168266
1.062423
1.061668
1.364482
1.511926
1.362846
-1.166891
1.168266
0.23875
1.12714
1.370262
1.364878
0.453221
0.445749
-1.178117
1
train
H1
H24
300
300
10
10.666667
12.333333
0.056808
-0.074258
0.053982
0.053917
0.220545
1.880575
0.059674
0.056808
0.074258
0.59756
0.002907
0.012104
0.005513
0.031522
0.017808
0.075057
1
train
H0
H24
500
500
10
10.8
11.2
-0.018195
0.008304
0.227559
0.227338
0.57473
3.194632
0.226628
0.227338
0.227559
0.362579
0.051683
0.000237
0.000069
0.174547
0.152038
-0.009159
1
train
H1
H24
500
500
10
9.2
10.4
-0.801779
0.82338
0.267888
0.267555
0.75459
4.353508
1.627784
-0.801779
0.82338
0.225735
0.071586
0.246132
0.678024
0.16445
0.198217
-0.828502
1
train
H0
H24
1,000
1,000
10
10.1
9.4
1.341324
-1.385268
-0.317015
-0.317069
5.682032
5.398049
5.659801
1.341324
1.385268
0.059019
0.100533
1.012779
1.919304
0.82477
0.787055
1.395154
1
train
H1
H24
1,000
1,000
10
10.4
10.6
0.361088
-0.331176
-0.559952
-0.560458
0.467253
8.742935
0.408876
-0.560458
0.559952
0.032911
0.314114
0.460552
0.109682
0.436048
0.454886
0.334434