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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H1
H12
300
300
50
47.666667
47
-0.075662
0.138162
0.017265
0.017244
0.0463
0.091691
0.043561
0.017244
0.138162
0.884429
0.000297
0.014104
0.019079
0.005266
0.010122
-0.145357
1
train
H0
H12
500
500
50
51.8
49.8
0.616188
-0.457636
-0.712413
-0.714107
0.543759
1.291898
0.57128
-0.714107
0.712413
0.62809
0.509949
0.3714
0.209519
0.503847
0.52807
0.484418
1
train
H1
H12
500
500
50
50.6
51.4
-0.531259
0.1729
1.058538
1.063036
4.3231
4.168793
4.378577
1.063036
1.058538
0.111996
1.130045
0.280989
0.029902
3.707315
3.595872
-0.179071
1
train
H0
H12
1,000
1,000
50
50.3
50.3
-0.183009
0.07379
0.31327
0.313035
0.231331
0.473667
0.280346
0.313035
0.31327
0.869208
0.097991
0.050987
0.005445
0.271076
0.267563
-0.077736
1
train
H1
H12
1,000
1,000
50
50.3
48.1
-1.098375
0.717027
1.651584
1.652469
5.709826
6.054232
5.89244
1.652469
1.651584
0.052538
2.730654
1.278552
0.514214
5.683219
5.61681
-0.754784
1
train
H0
H13
20
20
0
0
0
-0.730352
0.730352
0.502013
0.489513
0.453303
2.016113
0.636343
-0.730352
0.730352
0.459508
0.239623
0.363911
0.530568
0.037205
0.015924
-0.739657
1
train
H1
H13
20
20
0
0
0
-0.730352
0.730352
0.322166
0.314243
1.024558
0.967566
1.02174
0.314243
0.730352
0.459508
0.098749
0.328467
0.531148
0.023246
0.004211
-0.739657
1
train
H0
H13
30
30
0
0
0
1.493227
-1.493227
-2.119731
-2.248347
7.031442
7.097073
7.041684
-2.248347
2.119731
0.029575
5.055065
3.407596
2.245433
6.66361
6.628049
1.505828
1
train
H1
H13
30
30
0
0
0
1.330598
-1.330598
-0.827652
-0.817715
2.299658
2.17395
2.323954
1.330598
1.330598
0.179652
0.668659
1.343483
1.774856
0.00333
0.020168
1.341827
1
train
H0
H13
50
50
0
0
0
-0.151664
0.151664
0.688046
0.685659
1.481713
1.580387
1.378132
-0.151664
0.688046
0.502045
0.470129
0.120841
0.022939
1.257772
1.167905
-0.152428
1
train
H1
H13
50
50
0
0
0
1.323613
-1.323613
-2.25671
-2.362852
8.424051
9.427447
9.117857
-2.362852
2.25671
0.010473
5.583068
3.380856
1.764186
8.668205
8.771712
1.330282
1
train
H0
H13
75
75
0
0
0
-1.370056
1.370056
1.051922
1.0501
2.34845
3.069063
1.971984
1.0501
1.370056
0.172111
1.102709
1.79259
1.879491
0.182166
0.275336
-1.365451
1
train
H1
H13
75
75
0
0
0
-0.979149
0.979149
-0.340098
-0.341074
6.317393
6.746766
7.293774
-0.979149
0.979149
0.026072
0.116331
0.189122
0.961462
2.880237
2.813621
-0.975857
1
train
H0
H13
100
100
0
0
0
0.048868
-0.048868
-0.231053
-0.231133
0.546566
4.156609
0.154625
0.048868
0.231053
0.245042
0.053423
0.000112
0.002386
0.123992
0.076288
0.04899
1
train
H1
H13
100
100
0
0
0
0.491121
-0.491121
-1.10151
-1.11639
3.511274
11.165358
2.412108
0.491121
1.10151
0.010865
1.246328
0.408712
0.2408
2.183629
1.995554
0.492354
1
train
H0
H13
150
150
0
0
0
0.597671
-0.597671
-0.576503
-0.573112
0.348157
0.609968
0.368818
0.597671
0.597671
0.549393
0.328458
0.354915
0.356864
0.127695
0.111461
0.59867
1
train
H1
H13
150
150
0
0
0
1.409653
-1.409653
-1.737155
-1.748425
3.219905
4.124951
3.121465
-1.748425
1.737155
0.157948
3.056989
2.375497
1.988456
2.612374
2.519898
1.412008
1
train
H0
H13
200
200
0
0
0
0.459286
-0.459286
-0.745203
-0.744956
0.555464
4.54197
0.704193
-0.744956
0.745203
0.208577
0.554959
0.454178
0.21079
0.663647
0.781845
0.459861
1
train
H1
H13
200
200
0
0
0
0.736068
-0.736068
-2.108482
-2.153968
12.149837
13.468912
11.067302
-2.153968
2.108482
0.003725
4.63958
1.601599
0.541744
9.793421
9.610642
0.73699
1
train
H0
H13
300
300
0
0
0
0.137536
-0.137536
-0.624148
-0.623058
0.800519
1.695942
1.052602
0.137536
0.624148
0.590786
0.388202
0.13721
0.018906
0.85384
0.915584
0.13765
1
train
H1
H13
300
300
0
0
0
1.267965
-1.267965
-2.519602
-2.562577
12.027801
14.387042
10.996335
-2.562577
2.519602
0.002423
6.5668
3.113454
1.608444
10.479928
10.311021
1.269023
1
train
H0
H13
500
500
0
0
0
1.305118
-1.305118
-0.827505
-0.826483
1.296229
2.762174
2.081886
1.305118
1.305118
0.19163
0.683075
1.105535
1.703732
0.014968
0.010742
1.305771
1
train
H1
H13
500
500
0
0
0
-0.020146
0.020146
-1.734073
-1.743802
9.658727
9.533763
12.881789
-1.743802
1.734073
0.001595
3.040845
0.69801
0.000406
9.677071
9.610709
-0.020156
1
train
H0
H13
1,000
1,000
0
0
0
1.170201
-1.170201
-1.291588
-1.290747
1.672976
1.693231
1.676634
1.170201
1.291588
0.241803
1.666028
1.555231
1.369351
1.111824
1.099794
1.170493
1
train
H1
H13
1,000
1,000
0
0
0
1.540675
-1.540675
-2.986046
-3.003283
13.125719
12.828313
13.805789
-3.003283
2.986046
0.001005
9.019711
4.804393
2.374797
13.557168
13.512616
1.54106
1
train
H0
H13
20
20
10
0
15
0.34978
-0.331223
-0.263636
-0.26257
0.244138
3.063243
0.138262
-0.26257
0.331223
0.381977
0.068943
0.127259
0.10907
0.000592
0.019268
0.34508
1
train
H1
H13
20
20
10
10
5
1.634031
-1.599661
-1.556394
-1.61717
2.762796
3.486464
2.80421
1.634031
1.599661
0.100758
2.61524
2.709316
2.620369
1.214981
1.182526
1.641192
1
train
H0
H13
30
30
10
3.333333
16.666667
1.619486
-1.583791
-2.096257
-2.150118
5.607476
5.949215
5.480182
-2.150118
2.096257
0.064564
4.623009
3.350773
2.518156
4.983554
4.822939
1.612801
1
train
H1
H13
30
30
10
16.666667
10
-0.476568
0.507303
0.045657
0.045204
0.844597
1.785213
1.085119
0.045204
0.507303
0.581259
0.002043
0.081048
0.256999
0.207205
0.229754
-0.509845
1
train
H0
H13
50
50
10
12
12
1.036044
-1.040858
-0.624519
-0.619268
1.837793
2.303084
1.607032
1.036044
1.040858
0.292436
0.383493
0.865787
1.081658
0.004192
0.001195
1.052793
1
train
H1
H13
50
50
10
20
8
-1.412956
1.447846
0.818345
0.816047
2.866302
5.320897
3.379722
-1.412956
1.447846
0.14372
0.665933
1.349257
2.102796
0.023775
0.035921
-1.462079
1
train
H0
H13
75
75
10
4
13.333333
1.643638
-1.620623
-2.034566
-2.047759
4.398687
4.45248
4.401272
-2.047759
2.034566
0.10496
4.193316
3.359098
2.630431
3.760174
3.80698
1.62127
1
train
H1
H13
75
75
10
16
5.333333
-0.451553
0.401445
1.192556
1.195381
4.399319
9.343533
3.519065
1.195381
1.192556
0.025056
1.428936
0.403693
0.160775
3.207802
2.883898
-0.407698
1
train
H0
H13
100
100
10
13
11
0.910361
-0.906377
-0.852947
-0.8529
1.004724
2.056693
0.835073
0.910361
0.906377
0.360475
0.727439
0.973331
0.822672
0.300641
0.33894
0.91446
1
train
H1
H13
100
100
10
7
12
-0.038287
0.058885
-0.24382
-0.24214
0.417042
0.476197
0.372854
-0.038287
0.24382
0.829919
0.058632
0.001519
0.00346
0.203713
0.164059
-0.057104
1
train
H0
H13
150
150
10
14
14
0.800931
-0.864608
0.107787
0.108086
4.429136
4.270327
4.566327
0.108086
0.864608
0.101961
0.011683
0.244419
0.747492
1.400543
1.341573
0.874021
1
train
H1
H13
150
150
10
8
6
-0.563987
0.559666
0.749678
0.749878
0.853906
4.898311
0.613828
0.749878
0.749678
0.179397
0.562316
0.30241
0.312953
0.644469
0.552048
-0.564361
1
train
H0
H13
200
200
10
8.5
9
-1.024626
1.027772
0.95823
0.956156
0.996781
1.793476
1.060384
-1.024626
1.027772
0.299697
0.914235
1.018334
1.056805
0.421752
0.378541
-1.037083
1
train
H1
H13
200
200
10
9
11.5
0.454767
-0.410524
-1.31749
-1.322911
4.734746
5.333166
4.411372
-1.322911
1.31749
0.110175
1.750093
0.576089
0.168472
3.774471
3.638627
0.417225
1
train
H0
H13
300
300
10
8
13.333333
0.772754
-0.782488
-0.351449
-0.35275
1.702366
3.014978
1.194838
0.772754
0.782488
0.389322
0.124432
0.511705
0.612085
0.052974
0.044146
0.790147
1
train
H1
H13
300
300
10
8.333333
11
0.580418
-0.520013
-1.571238
-1.57649
5.070183
7.764352
5.978337
-1.57649
1.571238
0.050329
2.485319
1.051656
0.270441
5.319555
5.341245
0.527439
1
train
H0
H13
500
500
10
10.2
9.6
-0.042911
0.029774
0.235864
0.235693
0.067368
1.061579
0.193015
-0.042911
0.235864
0.786356
0.055551
0.042363
0.000886
0.160958
0.172687
-0.030604
1
train
H1
H13
500
500
10
8.8
11.6
-0.959018
1.085884
-0.93525
-0.938384
16.141638
17.149476
17.203332
-0.959018
1.085884
0.000184
0.880564
0.099024
1.180069
8.724977
8.656608
-1.09039
1
train
H0
H13
1,000
1,000
10
9.1
10.5
0.204003
-0.208307
-0.1911
-0.190992
0.045414
0.831264
0.042064
0.204003
0.208307
0.833851
0.036478
0.026112
0.043383
0.01248
0.010949
0.209765
1
train
H1
H13
1,000
1,000
10
10.3
10.2
1.213164
-1.109196
-2.801072
-2.821809
15.496506
16.065063
16.787056
-2.821809
2.801072
0.000226
7.962604
3.529552
1.231273
15.495341
15.517877
1.115526