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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n1
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1k
n2
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84.2
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99.4
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7,643
train
H1
H14
300
300
40
43.333333
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4.698886
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7,643
train
H0
H14
500
500
40
40.2
37
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7,643
train
H1
H14
500
500
40
37.6
40.2
0.356384
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7,643
train
H0
H14
1,000
1,000
40
38.9
40.8
0.575906
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7,643
train
H1
H14
1,000
1,000
40
38.8
41.7
1.499198
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2.341351
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7,643
train
H0
H14
20
20
50
45
65
1.750647
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3.514183
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3.482226
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7,643
train
H1
H14
20
20
50
55
55
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1.116978
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0.876807
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0.859802
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1.626685
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7,643
train
H0
H14
30
30
50
60
43.333333
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1.210398
1.039756
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1.122438
6.472842
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1.210398
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1.072929
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7,643
train
H1
H14
30
30
50
70
50
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0.802903
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7,643
train
H0
H14
50
50
50
54
56
0.817542
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2.548076
3.832357
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7,643
train
H1
H14
50
50
50
52
44
0.30975
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5.957312
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0.285045
0.701057
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2.168773
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7,643
train
H0
H14
75
75
50
60
52
-1.700983
1.86215
1.334756
1.336595
6.07108
6.142789
6.072436
1.336595
1.86215
0.048016
1.786485
2.602569
3.480326
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7,643
train
H1
H14
75
75
50
40
50.666667
0.998977
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1.025571
1.057375
1.023309
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0.316486
1.011886
1.045982
0.950111
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7,643
train
H0
H14
100
100
50
49
46
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0.532041
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0.618866
0.389995
1.484762
0.400281
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0.382995
0.384145
0.283089
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7,643
train
H1
H14
100
100
50
48
45
-0.724923
0.487574
1.06721
1.076131
2.874435
3.0131
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1.076131
1.06721
0.24282
1.158058
0.521004
0.23778
2.775626
2.714415
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7,643
train
H0
H14
150
150
50
49.333333
50
0.568952
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0.572119
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0.681524
0.618133
0.463529
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7,643
train
H1
H14
150
150
50
42.666667
47.333333
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1.110194
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0.891674
0.35725
0.419694
0.684727
0.794484
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0.920618
7,643
train
H0
H14
200
200
50
48.5
54.5
1.387148
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2.421521
2.495602
2.428627
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1.512365
0.201225
2.29336
1.909982
1.518171
1.986038
2.053232
1.278069
7,643
train
H1
H14
200
200
50
54
57.5
1.176833
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2.118062
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1.353898
0.159464
0.900068
1.487145
1.833482
0.016169
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1.406877
7,643
train
H0
H14
300
300
50
51
45
-0.720199
0.395494
1.084426
1.082581
2.968581
3.383793
2.831963
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1.084426
0.242687
1.171982
0.366233
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2.585003
2.598156
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7,643
train
H1
H14
300
300
50
49.666667
45.333333
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0.736895
0.688306
0.689101
0.546847
0.586312
0.541843
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0.736895
0.446064
0.474861
0.554229
0.542913
0.237617
0.27428
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7,643
train
H0
H14
500
500
50
48.4
52.8
1.044913
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2.777376
3.867555
2.922536
1.044913
1.341711
0.231942
1.797994
1.267868
0.710991
2.789297
2.791494
0.871513
7,643
train
H1
H14
500
500
50
56.6
51.8
-1.209059
0.927762
1.496869
1.495965
3.366004
3.814232
3.437104
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1.496869
0.179326
2.237911
1.37787
0.860577
3.619242
3.691615
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7,643
train
H0
H14
1,000
1,000
50
46.9
47.9
0.710531
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0.5293
0.552819
0.52394
0.710531
0.757237
0.434991
0.423848
0.546905
0.573472
0.122741
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7,643
train
H1
H14
1,000
1,000
50
46.8
49.9
1.875289
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3.551817
3.868998
3.57811
1.875289
1.923548
0.046954
3.066356
3.604917
3.70074
1.144575
1.070443
1.986711
7,643
train
H0
H15
20
20
0
0
0
0.541002
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0.435379
2.919575
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0.561517
0.404192
0.306566
0.414311
0.291758
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7,643
train
H1
H15
20
20
0
0
0
0.351651
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0.382401
0.378843
2.584861
2.533357
2.522425
0.351651
0.382401
0.28331
0.143522
0.003401
0.122664
1.41395
1.274009
0.356131
7,643
train
H0
H15
30
30
0
0
0
0.887066
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0.704438
3.670676
1.213144
0.887066
0.887066
0.299291
0.215863
0.430501
0.787488
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0.894551
7,643
train
H1
H15
30
30
0
0
0
-1.567149
1.567149
1.30357
1.298118
2.433675
2.88722
2.513046
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1.567149
0.114021
1.685112
2.274589
2.479943
0.386313
0.399865
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7,643
train
H0
H15
50
50
0
0
0
1.757924
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3.033616
3.746683
3.177407
1.757924
1.757924
0.077265
2.002786
2.802421
3.1105
0.471922
0.469716
1.76678
7,643
train
H1
H15
50
50
0
0
0
2.21981
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6.35514
7.509252
6.313111
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2.423544
0.025682
6.309361
5.555892
4.972794
4.566854
4.479226
2.230993
7,643
train
H0
H15
75
75
0
0
0
-0.155987
0.155987
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1.035006
4.268028
1.677823
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0.485475
0.233939
0.234448
0.02837
0.024296
0.985891
1.159622
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7,643
train
H1
H15
75
75
0
0
0
-0.757384
0.757384
0.782866
0.778011
0.713172
1.688399
0.630679
0.778011
0.782866
0.450346
0.605301
0.69546
0.572801
0.402233
0.516455
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7,643
train
H0
H15
100
100
0
0
0
0.227235
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2.460919
4.185302
1.875223
0.227235
0.838206
0.242138
0.70855
0.163518
0.051542
1.533356
1.401657
0.227805
7,643
train
H1
H15
100
100
0
0
0
1.02378
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0.899449
2.346214
1.489881
1.02378
1.02378
0.304727
0.317616
0.607461
1.048603
0.004511
0.011635
1.026349
7,643
train
H0
H15
150
150
0
0
0
-0.055907
0.055907
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0.514232
0.597448
0.450224
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0.282776
0.798427
0.07916
0.003789
0.003121
0.259332
0.229435
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7,643
train
H1
H15
150
150
0
0
0
0.27421
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0.34545
0.343892
0.705981
2.911217
1.46355
0.343892
0.34545
0.405517
0.118262
0.005403
0.075178
0.809204
0.914996
0.274668
7,643
train
H0
H15
200
200
0
0
0
-0.723094
0.723094
0.313668
0.312749
0.587924
3.051516
0.930824
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0.723094
0.38375
0.097812
0.298934
0.52274
0.031367
0.050327
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7,643
train
H1
H15
200
200
0
0
0
0.256889
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0.780725
0.782061
1.974867
9.483819
4.258801
0.782061
0.780725
0.023504
0.61162
0.118112
0.066082
2.594919
2.865782
0.25721
7,643
train
H0
H15
300
300
0
0
0
-0.457824
0.457824
0.614344
0.61289
0.44028
0.57821
0.398211
0.61289
0.614344
0.646805
0.375634
0.249186
0.20947
0.398932
0.381944
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7,643
train
H1
H15
300
300
0
0
0
1.188835
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3.555308
4.518485
5.408151
1.188835
1.188835
0.066932
0.001555
0.432595
1.414628
1.234669
1.230075
1.189827
7,643
train
H0
H15
500
500
0
0
0
-0.49796
0.49796
0.835916
0.835047
0.896713
1.036729
0.905174
0.835047
0.835916
0.618337
0.697303
0.431411
0.247928
0.932075
0.893373
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7,643
train
H1
H15
500
500
0
0
0
1.086358
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0.47543
0.476139
8.131932
8.139619
9.465235
1.086358
1.086358
0.008803
0.226709
0.211457
1.180721
3.66207
3.633808
1.086901
7,643
train
H0
H15
1,000
1,000
0
0
0
0.774945
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0.693368
0.777535
0.710299
0.774945
0.774945
0.438258
0.256498
0.49981
0.600502
0.009128
0.011037
0.775139
7,643
train
H1
H15
1,000
1,000
0
0
0
1.592637
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0.795658
0.79925
20.902503
19.021035
22.333691
1.592637
1.592637
0.000014
0.6388
0.444975
2.538463
8.847909
8.748767
1.593036