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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84.2
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99.4
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0.584537
0.099317
0.210375
0.328817
0.733248
0.044258
0.074206
0.108072
0.01056
0.005206
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5
train
H0
H14
500
500
50
51
47.8
0.054013
-0.374677
0.367706
0.367584
2.707078
4.311896
2.917337
0.054013
0.374677
0.229695
0.135118
0.002533
0.140384
1.523516
1.549984
0.384449
5
train
H1
H14
500
500
50
49.2
49.8
1.178932
-1.436424
-0.734021
-0.73421
4.081308
4.101886
4.039424
-0.73421
1.436424
0.132694
0.539065
1.465181
2.064162
0.162885
0.156648
1.48103
5
train
H0
H14
1,000
1,000
50
52.7
48.3
-0.562465
0.302588
0.928711
0.928889
2.606103
3.453883
2.75262
0.928889
0.928711
0.252509
0.862835
0.352458
0.091561
2.445896
2.436211
-0.312996
5
train
H1
H14
1,000
1,000
50
52.2
50.9
-0.435892
0.264306
0.703309
0.703125
1.651977
1.767333
1.60579
0.703125
0.703309
0.44803
0.494384
0.16877
0.06985
1.415663
1.405244
-0.273526
5
train
H0
H15
20
20
0
0
0
1.704156
-1.704156
-1.703267
-1.743829
3.149938
3.363281
3.158011
-1.743829
1.704156
0.084372
3.040939
3.142084
2.945455
1.63645
1.657196
1.725865
5
train
H1
H15
20
20
0
0
0
-0.919703
0.919703
1.319483
1.348737
2.665201
5.595972
2.39978
1.348737
1.319483
0.13301
1.819091
1.172534
0.841645
2.83227
2.63946
-0.931419
5
train
H0
H15
30
30
0
0
0
-0.26612
0.26612
0.633022
0.628082
0.962521
1.644835
0.790001
0.628082
0.633022
0.649267
0.394487
0.144811
0.070427
0.867448
0.758975
-0.268365
5
train
H1
H15
30
30
0
0
0
0.650515
-0.650515
-0.737655
-0.736818
0.642104
6.099717
0.543159
0.650515
0.737655
0.106858
0.5429
0.379969
0.421465
0.337556
0.228906
0.656004
5
train
H0
H15
50
50
0
0
0
-2.419731
2.419731
2.210036
2.247601
5.854747
5.934496
5.970599
-2.419731
2.419731
0.015019
5.051711
5.814662
5.927186
1.926152
2.041317
-2.431921
5
train
H1
H15
50
50
0
0
0
-1.254675
1.254675
1.600682
1.615489
2.688732
2.950593
2.747267
1.615489
1.600682
0.20731
2.609804
2.103199
1.574896
2.650293
2.789782
-1.260996
5
train
H0
H15
75
75
0
0
0
-1.689548
1.689548
1.408282
1.407742
2.634418
4.070551
2.885419
-1.689548
1.689548
0.092207
1.981737
2.555122
2.862854
0.541191
0.496609
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5
train
H1
H15
75
75
0
0
0
-0.426616
0.426616
1.527831
1.562827
4.305031
15.188419
6.703725
1.562827
1.527831
0.001663
2.442429
1.135139
0.182752
5.413556
6.220646
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5
train
H0
H15
100
100
0
0
0
-0.689036
0.689036
0.255955
0.254048
1.013896
1.003554
0.966069
-0.689036
0.689036
0.489713
0.064541
0.299086
0.474191
0.055117
0.035099
-0.690765
5
train
H1
H15
100
100
0
0
0
1.260789
-1.260789
0.038987
0.03953
8.768728
10.724788
7.7872
1.260789
1.260789
0.013311
0.001563
0.636438
1.593269
1.847289
1.664253
1.263953
5
train
H0
H15
150
150
0
0
0
0.165058
-0.165058
-0.901166
-0.905258
3.141353
4.650542
2.532751
-0.905258
0.901166
0.199249
0.819493
0.156934
0.027215
2.007009
1.877236
0.165334
5
train
H1
H15
150
150
0
0
0
-1.174045
1.174045
2.010979
2.030267
5.221034
5.292895
5.707612
2.030267
2.010979
0.057625
4.121984
2.596578
1.380818
5.852754
5.881773
-1.176007
5
train
H0
H15
200
200
0
0
0
-1.031879
1.031879
1.285469
1.285681
1.653338
3.241262
1.685094
1.285681
1.285469
0.301524
1.652977
1.446328
1.064395
1.504531
1.670846
-1.033172
5
train
H1
H15
200
200
0
0
0
0.802669
-0.802669
0.368587
0.368704
4.176178
3.304205
5.381454
0.802669
0.802669
0.067832
0.135943
0.073004
0.645201
2.0988
2.013177
0.803674
5
train
H0
H15
300
300
0
0
0
1.639122
-1.639122
-0.876807
-0.880061
5.531415
9.787975
3.949507
-0.880061
1.639122
0.020457
0.774508
2.268972
2.688474
0.00939
0.001519
1.64049
5
train
H1
H15
300
300
0
0
0
0.891626
-0.891626
-0.029297
-0.029212
1.955993
2.074612
3.037153
0.891626
0.891626
0.219023
0.000853
0.230466
0.795346
0.716699
0.701222
0.89237
5
train
H0
H15
500
500
0
0
0
-1.294388
1.294388
1.889012
1.893728
4.163909
4.262778
4.098666
1.893728
1.889012
0.128821
3.586204
2.346597
1.675564
4.052777
4.046253
-1.295036
5
train
H1
H15
500
500
0
0
0
0.573507
-0.573507
0.364652
0.364293
2.68483
2.22334
3.340324
0.364293
0.573507
0.188217
0.132709
0.027824
0.328928
1.484158
1.438716
0.573794
5
train
H0
H15
1,000
1,000
0
0
0
-0.558654
0.558654
0.225105
0.22491
0.346835
1.934815
0.582286
0.22491
0.558654
0.576302
0.050585
0.179574
0.312057
0.027548
0.033687
-0.558794
5
train
H1
H15
1,000
1,000
0
0
0
-0.161386
0.161386
2.345487
2.36035
18.393156
17.435556
20.551113
2.36035
2.345487
0.000034
5.571254
1.208813
0.02606
15.796986
15.7284
-0.161426
5
train
H0
H15
20
20
10
5
15
-0.170392
0.194308
-0.135288
-0.133039
0.540488
0.61837
0.496409
-0.170392
0.194308
0.7802
0.017699
0.006522
0.03744
0.148903
0.133139
-0.190238
5
train
H1
H15
20
20
10
5
5
1.370602
-1.372207
-1.489009
-1.508998
2.283026
2.718189
2.277178
-1.508998
1.489009
0.161603
2.277075
2.060811
1.886259
1.379219
1.325404
1.399701
5
train
H0
H15
30
30
10
3.333333
10
-0.467725
0.466944
-0.043949
-0.04337
1.335569
1.295884
1.334114
-0.467725
0.466944
0.513217
0.001881
0.070827
0.217039
0.329437
0.288713
-0.460631
5
train
H1
H15
30
30
10
20
13.333333
-0.699619
0.647618
1.394931
1.42916
5.229419
5.432617
5.085115
1.42916
1.394931
0.078665
2.042498
0.976945
0.41957
4.883262
4.765882
-0.631201
5
train
H0
H15
50
50
10
6
10
1.469217
-1.464389
-1.122911
-1.121364
2.908571
5.650031
2.327047
-1.121364
1.464389
0.129935
1.257457
2.093878
2.143558
0.189531
0.32219
1.484369
5
train
H1
H15
50
50
10
2
6
0.254648
-0.280753
0.700699
0.712431
5.03009
5.225353
4.711555
0.254648
0.700699
0.09482
0.507558
0.009517
0.078744
2.804674
2.630721
0.284084
5
train
H0
H15
75
75
10
6.666667
10.666667
-0.764353
0.755602
0.842484
0.840748
0.738327
2.662796
0.707537
0.840748
0.842484
0.446587
0.706858
0.555783
0.570611
0.594561
0.498331
-0.756911
5
train
H1
H15
75
75
10
9.333333
6.666667
0.899201
-0.919068
-0.17448
-0.173134
2.363707
2.246872
2.75881
0.899201
0.919068
0.251728
0.029975
0.366263
0.845197
0.497633
0.432969
0.914285
5
train
H0
H15
100
100
10
17
10
-0.581927
0.507724
1.292339
1.292672
3.182531
4.575974
3.589933
1.292672
1.292339
0.166133
1.671002
0.76942
0.257571
3.459848
3.507247
-0.521219
5
train
H1
H15
100
100
10
10
12
0.791347
-0.816203
-0.267684
-0.267702
1.75354
1.766599
1.662093
0.791347
0.816203
0.407882
0.071665
0.400047
0.665623
0.199223
0.164463
0.827627
5
train
H0
H15
150
150
10
14
9.333333
-2.271704
2.259512
2.179965
2.194588
5.277832
5.256012
5.28258
-2.271704
2.259512
0.022698
4.816218
5.260865
5.116243
2.338287
2.395102
-2.278479
5
train
H1
H15
150
150
10
10
8
-1.862506
1.812879
2.29825
2.325264
5.4136
9.27594
5.631379
2.325264
2.29825
0.025838
5.406855
4.772612
3.300453
4.925384
5.417432
-1.833331
5
train
H0
H15
200
200
10
9.5
10.5
0.366497
-0.374491
-0.198307
-0.197674
0.078868
0.763118
0.218278
0.366497
0.374491
0.706185
0.039075
0.055857
0.140183
0.004141
0.004601
0.376985
5
train
H1
H15
200
200
10
10.5
15
1.23625
-1.251345
-0.902067
-0.899187
1.67039
1.593607
1.768769
1.23625
1.251345
0.206307
0.808537
1.272343
1.565571
0.064441
0.07882
1.263787
5
train
H0
H15
300
300
10
10
9.666667
-0.144597
0.152575
0.106917
0.106927
0.162859
9.587562
0.023507
-0.144597
0.152575
0.022418
0.011433
0.000159
0.023269
0.002655
0.000332
-0.153537
5
train
H1
H15
300
300
10
11.666667
12.333333
-0.601697
0.540536
1.476745
1.482653
4.477113
5.206894
5.094331
1.482653
1.476745
0.078303
2.198259
0.968691
0.292313
4.687569
4.69888
-0.547965
5
train
H0
H15
500
500
10
9.2
10
0.655048
-0.620056
-1.034902
-1.035284
1.312975
2.499422
1.416651
0.655048
1.034902
0.475395
1.071813
0.645923
0.384346
1.367105
1.451221
0.623908
5
train
H1
H15
500
500
10
11.4
10
0.072182
-0.19033
1.76048
1.772673
15.57737
17.876158
17.525234
1.772673
1.76048
0.000156
3.14237
0.415466
0.036257
11.845144
11.971213
0.189839
5
train
H0
H15
1,000
1,000
10
9
10.6
-0.071153
0.117852
-0.573827
-0.573503
1.635353
3.457916
1.986972
-0.573503
0.573827
0.326261
0.328905
0.029231
0.013888
1.305308
1.360135
-0.118188
5
train
H1
H15
1,000
1,000
10
11.7
11.9
0.890716
-1.004009
0.841043
0.842344
13.374866
11.815938
14.301528
0.890716
1.004009
0.000784
0.709544
0.074649
1.00844
6.745229
6.624966
1.012555