Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
27 values
n1
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1k
n2
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Q_test
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MIN3_test
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84.2
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99.4
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7,649
train
H1
H18
300
300
30
29.333333
29.666667
2.33426
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8.346477
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4.592838
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2.580538
7,649
train
H0
H18
500
500
30
34.6
28.6
0.252295
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0.211876
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1.821926
1.905989
1.727418
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7,649
train
H1
H18
500
500
30
32.8
28.8
2.348224
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2.542746
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6.479768
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7,649
train
H0
H18
1,000
1,000
30
33.8
29.7
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0.444137
1.066389
1.066426
2.589247
3.02463
2.418795
1.066426
1.066389
0.298377
1.137264
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7,649
train
H1
H18
1,000
1,000
30
30.9
29.8
1.961084
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5.936675
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7.133945
1.961084
2.117195
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1.415217
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7,649
train
H0
H18
20
20
40
35
55
0.657017
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2.089175
3.243534
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7,649
train
H1
H18
20
20
40
35
25
-1.027668
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0.494881
0.48829
3.488889
5.141413
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7,649
train
H0
H18
30
30
40
53.333333
50
0.695858
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7,649
train
H1
H18
30
30
40
56.666667
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4.421975
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0.113259
0.94228
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0.00009
3.60135
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7,649
train
H0
H18
50
50
40
48
24
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1.137386
1.298036
1.480569
1.300779
1.137386
1.13467
0.268723
1.293648
1.227488
1.15029
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7,649
train
H1
H18
50
50
40
44
40
-0.301828
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0.428977
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0.431403
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0.184021
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7,649
train
H0
H18
75
75
40
44
38.666667
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1.177596
0.638087
0.634711
2.976731
6.20843
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0.634711
1.177596
0.101898
0.402858
1.127529
1.38483
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7,649
train
H1
H18
75
75
40
49.333333
42.666667
0.00424
0.048388
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0.213361
1.450817
0.158498
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0.11272
0.693667
0.012799
0.000723
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7,649
train
H0
H18
100
100
40
37
41
-0.139885
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1.986649
1.982434
1.99104
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0.317759
0.369531
0.0888
0.005835
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7,649
train
H1
H18
100
100
40
38
44
2.326178
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7.480956
8.21965
7.896031
2.326178
2.457326
0.011141
3.130373
4.763103
6.110035
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2.538257
7,649
train
H0
H18
150
150
40
45.333333
41.333333
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0.787688
1.087078
1.089683
1.343835
2.808752
1.406286
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1.087078
0.417228
1.187409
0.932371
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1.542064
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7,649
train
H1
H18
150
150
40
39.333333
43.333333
1.219721
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1.532445
1.98438
1.543782
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1.232432
0.227489
1.525553
1.408678
1.364488
0.818304
0.818622
1.206852
7,649
train
H0
H18
200
200
40
36.5
39
0.499387
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0.291795
0.441924
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0.506937
0.602488
0.150714
0.205828
0.256982
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0.003149
0.520826
7,649
train
H1
H18
200
200
40
40.5
33.5
1.104999
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2.236687
7.601148
2.788278
1.104999
1.278262
0.055016
0.428738
0.943839
1.640681
0.077365
0.114296
1.316219
7,649
train
H0
H18
300
300
40
38
41
0.794176
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0.967877
4.273879
0.875397
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0.910342
0.233369
0.82748
0.573973
0.590833
0.726402
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0.794297
7,649
train
H1
H18
300
300
40
40.666667
39.666667
0.997332
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4.042665
5.042259
4.34063
0.997332
1.245802
0.114142
0.144698
0.847351
1.552576
0.623823
0.642102
1.282639
7,649
train
H0
H18
500
500
40
41.4
37.4
-1.203254
1.04682
1.605653
1.607395
3.698444
3.637792
3.693102
1.607395
1.605653
0.15778
2.58372
1.683006
1.095771
3.85348
3.750711
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7,649
train
H1
H18
500
500
40
39.8
39
0.584787
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0.402913
2.835312
0.360928
0.584787
0.598652
0.41772
0.35814
0.395949
0.265627
0.20006
0.253868
0.529969
7,649
train
H0
H18
1,000
1,000
40
38.3
39.9
-0.47122
0.465447
0.390376
0.390461
0.371047
2.800276
0.257473
0.390461
0.465447
0.423455
0.15246
0.29234
0.216651
0.02511
0.024778
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7,649
train
H1
H18
1,000
1,000
40
43.2
41.8
2.286751
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14.036957
14.314389
13.453045
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2.594291
0.001199
1.703076
4.950155
6.740067
0.503193
0.456878
2.686036
7,649
train
H0
H18
20
20
50
45
40
0.93774
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2.125293
2.416328
2.173896
0.93774
1.04326
0.274641
0.334196
0.75912
1.100971
0.066701
0.056217
1.092436
7,649
train
H1
H18
20
20
50
55
55
1.017384
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1.79201
1.914216
1.799749
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1.114407
0.342638
1.364747
1.081784
0.809776
1.140076
1.15639
0.948967
7,649
train
H0
H18
30
30
50
43.333333
60
1.715007
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3.061421
3.248912
3.040102
1.715007
1.751664
0.065894
2.55077
3.017181
3.079819
0.758959
0.817003
1.839141
7,649
train
H1
H18
30
30
50
40
33.333333
0.500463
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0.727536
1.38931
0.841055
0.500463
0.634134
0.515078
0.050828
0.206565
0.401614
0.166751
0.165215
0.650952
7,649
train
H0
H18
50
50
50
48
52
0.396975
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3.013963
2.90584
3.010016
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0.789203
0.222015
0.626107
0.145326
0.010327
2.093514
1.953176
0.084865
7,649
train
H1
H18
50
50
50
44
40
-1.164858
1.341169
0.71207
0.709876
3.572726
3.715616
3.592336
0.709876
1.341169
0.165602
0.503923
1.183911
1.796595
0.166852
0.182842
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7,649
train
H0
H18
75
75
50
46.666667
56
0.695222
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0.506951
2.831681
0.48052
0.695222
0.679573
0.418311
0.459117
0.49253
0.376385
0.162158
0.233936
0.644859
7,649
train
H1
H18
75
75
50
58.666667
52
0.431427
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0.280382
0.475246
0.306333
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0.483363
0.613032
0.112311
0.161446
0.231408
0.015159
0.017753
0.50575
7,649
train
H0
H18
100
100
50
52
52
0.517256
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2.081686
2.09902
2.090352
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0.764188
0.35163
0.606565
0.272477
0.102258
1.492949
1.500277
0.325147
7,649
train
H1
H18
100
100
50
37
52
3.347731
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11.565766
12.286236
11.402333
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3.240182
0.000835
10.354006
11.08365
10.605
4.592963
5.326343
3.340823
7,649
train
H0
H18
150
150
50
57.333333
49.333333
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1.225871
0.892459
0.891214
1.885821
2.049799
1.848194
0.891214
1.225871
0.202024
0.794262
1.298087
1.501267
0.041309
0.03419
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7,649
train
H1
H18
150
150
50
52
51.333333
1.430743
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2.539405
2.502434
2.524924
1.430743
1.464478
0.126483
1.520181
1.959592
2.149398
0.178942
0.19352
1.52812
7,649
train
H0
H18
200
200
50
43
51.5
2.117537
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4.50956
4.833043
4.533504
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2.101829
0.043508
4.42331
4.098378
3.858965
2.404002
2.349773
2.018798
7,649
train
H1
H18
200
200
50
50.5
51
1.88571
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3.591098
3.96725
3.608987
1.88571
1.862602
0.051913
3.490792
3.627446
3.482064
1.70218
1.670507
1.943857
7,649
train
H0
H18
300
300
50
47.666667
52.666667
0.616525
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0.764628
1.067699
0.80921
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0.724452
0.453989
0.187392
0.387351
0.524583
0.013302
0.014536
0.748781
7,649
train
H1
H18
300
300
50
50
50.333333
0.354688
-0.604364
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1.559163
2.832802
1.711905
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0.604364
0.418129
0.000884
0.146114
0.365092
0.5062
0.53624
0.623655
7,649
train
H0
H18
500
500
50
50.8
53.2
1.31237
-1.262217
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1.758815
1.766077
1.749388
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1.262217
0.190807
1.519529
1.649599
1.593454
0.539474
0.532373
1.308195
7,649
train
H1
H18
500
500
50
51
53.8
1.619129
-1.747546
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2.832809
6.561534
3.02356
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1.747546
0.06963
2.011239
2.524676
3.05598
0.365353
0.330555
1.814309
7,649
train
H0
H18
1,000
1,000
50
49.7
50.9
-0.019734
0.273954
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2.859237
3.31204
2.702471
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0.397786
0.25892
0.158173
0.004238
0.07505
1.466534
1.407056
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7,649
train
H1
H18
1,000
1,000
50
49.2
52.3
3.508362
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13.2112
17.578368
13.735934
-3.099413
3.714949
0.000113
9.606363
11.928513
13.824299
2.232126
2.238371
3.861184