Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
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0.000084
10.80754
5.26105
2.717833
17.938874
17.922334
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1
train
H0
H22
500
500
10
7.8
11.2
-0.926524
0.93523
0.708772
0.708672
0.941943
0.928418
0.924127
0.708672
0.93523
0.344593
0.502216
0.771264
0.875431
0.081721
0.079916
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1
train
H1
H22
500
500
10
11.2
11.2
-2.276607
2.280346
2.393348
2.40452
5.819652
5.789962
5.871531
-2.276607
2.393348
0.020112
5.781719
5.469044
5.20883
3.643644
3.711612
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1
train
H0
H22
1,000
1,000
10
10.9
10.4
-0.411119
0.358446
1.07924
1.079735
2.065608
3.391175
2.577573
1.079735
1.07924
0.275605
1.165828
0.489741
0.128825
2.34309
2.338377
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1
train
H1
H22
1,000
1,000
10
9.8
7.1
-1.911648
1.874869
2.916127
2.931435
12.701824
19.069431
10.846479
2.931435
2.916127
0.000265
8.593314
4.618039
3.516441
10.782172
10.621667
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1
train
H0
H22
20
20
20
5
30
-1.071897
1.107224
0.768719
0.805605
1.612019
1.895759
1.66542
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1.107224
0.252413
0.649
0.969168
1.236086
0.042307
0.044515
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1
train
H1
H22
20
20
20
10
25
0.175701
-0.312667
0.372852
0.380123
1.129011
8.171492
1.870298
0.175701
0.372852
0.042597
0.144494
0.003787
0.097978
0.941246
1.1827
0.329269
1
train
H0
H22
30
30
20
23.333333
23.333333
0.049196
-0.066634
0.209434
0.2103
0.759138
5.404245
0.450353
0.2103
0.209434
0.144479
0.044226
0.001739
0.004427
0.354604
0.231921
0.066266
1
train
H1
H22
30
30
20
23.333333
6.666667
-0.463268
0.404129
0.949853
0.938093
1.673743
2.09288
1.768746
0.938093
0.949853
0.412973
0.880018
0.422517
0.162354
1.895682
2.005352
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1
train
H0
H22
50
50
20
20
26
-0.245687
0.182656
0.653096
0.657855
1.387605
1.295073
1.41422
0.657855
0.653096
0.493067
0.432773
0.146161
0.034768
1.33124
1.220923
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1
train
H1
H22
50
50
20
20
26
-0.601842
0.639943
0.418317
0.416426
0.349372
1.249139
0.466901
-0.601842
0.639943
0.503586
0.173411
0.273963
0.409017
0.008344
0.003956
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1
train
H0
H22
75
75
20
25.333333
25.333333
-0.140911
0.046443
0.554547
0.554523
1.099868
1.658159
1.228815
0.554523
0.554547
0.540961
0.307496
0.080167
0.002562
1.061028
1.137491
-0.054232
1
train
H1
H22
75
75
20
20
12
-1.523606
1.478612
1.403426
1.395299
2.48377
3.262201
2.321087
-1.523606
1.478612
0.13418
1.94686
2.333394
2.185989
0.737598
0.936822
-1.49782
1
train
H0
H22
100
100
20
22
22
-0.178917
0.142731
0.11539
0.116386
0.22868
5.414401
0.045042
0.116386
0.142731
0.143849
0.013546
0.060637
0.022016
0.000253
0.005183
-0.159501
1
train
H1
H22
100
100
20
16
24
1.553565
-1.562306
-1.215727
-1.209493
2.380621
2.931817
2.656577
1.553565
1.562306
0.106349
1.462874
1.98775
2.445697
0.219222
0.209997
1.614822
1
train
H0
H22
150
150
20
13.333333
24
1.084934
-0.984926
-1.763189
-1.762925
4.114566
5.771326
4.577957
-1.762925
1.763189
0.10137
3.107904
1.911044
0.960477
4.559771
4.598716
1.017541
1
train
H1
H22
150
150
20
21.333333
18
-1.32565
1.30822
1.347657
1.347987
1.987788
3.975171
1.880172
1.347987
1.347657
0.176096
1.817068
1.914202
1.711704
1.007005
1.222166
-1.352873
1
train
H0
H22
200
200
20
25
19
-0.560915
0.527886
0.783705
0.781258
0.741052
0.722127
0.74025
-0.560915
0.783705
0.583262
0.610364
0.424828
0.279925
0.766775
0.771037
-0.548626
1
train
H1
H22
200
200
20
20.5
20
-1.565082
1.635848
1.088543
1.087114
2.782905
2.453679
3.054166
-1.565082
1.635848
0.090651
1.181816
1.992771
2.677417
0.042526
0.067508
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1
train
H0
H22
300
300
20
20.333333
21
0.297914
-0.297165
-0.281133
-0.280746
0.095444
0.3976
0.089282
-0.280746
0.297165
0.760702
0.078818
0.085626
0.087318
0.030062
0.038325
0.30456
1
train
H1
H22
300
300
20
17.333333
22.333333
-0.085784
0.115424
0.098916
0.098791
0.009927
0.113118
0.009824
0.098791
0.115424
0.905875
0.00976
0.00675
0.013325
0.010473
0.014775
-0.118243
1
train
H0
H22
500
500
20
22.6
18
-0.169671
0.028629
1.065478
1.06519
3.932717
6.153369
4.702408
1.06519
1.065478
0.095254
1.13463
0.237879
0.000876
3.602862
3.742205
-0.03114
1
train
H1
H22
500
500
20
18
20.6
-0.896185
0.853576
1.163016
1.165226
1.377369
3.17577
1.493555
1.165226
1.163016
0.365311
1.357751
1.113745
0.729492
1.348091
1.387254
-0.879009
1
train
H0
H22
1,000
1,000
20
18.8
22.5
1.566481
-1.653361
-1.002691
-1.002556
2.441394
7.483799
3.426761
1.566481
1.653361
0.057976
1.005119
1.753666
2.730517
0.002904
0.00257
1.707074
1
train
H1
H22
1,000
1,000
20
20.6
22.8
-0.636556
0.60124
0.872878
0.873707
0.92531
0.973384
0.907706
0.873707
0.872878
0.536281
0.763363
0.485405
0.361606
0.896167
0.886554
-0.618447
1
train
H0
H22
20
20
30
30
35
0.85971
-0.803924
-1.018968
-1.028943
1.17362
1.487124
1.20379
-1.028943
1.018968
0.40172
1.058725
0.837479
0.618177
1.08644
1.014962
0.838554
1
train
H1
H22
20
20
30
30
30
-0.001502
0.147206
-0.606937
-0.603427
2.885953
2.82968
2.888483
-0.603427
0.606937
0.235925
0.364124
0.028757
0.021457
1.684093
1.566207
-0.127799
1
train
H0
H22
30
30
30
33.333333
30
-1.712389
1.686297
1.59575
1.621846
2.962746
3.123667
2.971194
-1.712389
1.686297
0.065984
2.630385
2.989707
2.931796
1.075429
1.119314
-1.838531
1
train
H1
H22
30
30
30
16.666667
20
-1.8608
1.916733
1.393709
1.413158
3.597762
8.098595
4.214735
-1.8608
1.916733
0.044017
1.997015
2.820723
3.731778
0.120957
0.091644
-1.969673
1
train
H0
H22
50
50
30
24
20
-0.166318
0.083908
0.6035
0.604862
1.460509
1.447916
1.476031
0.604862
0.6035
0.478062
0.365859
0.080116
0.007023
1.262495
1.217925
-0.092471
1
train
H1
H22
50
50
30
30
30
-0.315853
0.348799
0.261326
0.258032
0.100168
0.121069
0.106029
-0.315853
0.348799
0.71238
0.06658
0.09986
0.121196
0.042186
0.045024
-0.368661
1
train
H0
H22
75
75
30
34.666667
28
0.472661
-0.580781
-0.017505
-0.017442
1.753436
1.914639
1.661298
0.472661
0.580781
0.435766
0.000304
0.140331
0.322413
0.454597
0.428846
0.584665
1
train
H1
H22
75
75
30
26.666667
30.666667
-1.968824
1.965605
1.93929
1.992152
4.024033
5.198575
4.098287
-1.968824
1.965605
0.036733
3.968671
3.875918
3.911715
2.27606
2.237442
-2.088717
1
train
H0
H22
100
100
30
27
26
0.271444
-0.230989
-0.612914
-0.613354
1.05048
1.237225
0.959932
-0.613354
0.612914
0.618805
0.376203
0.129515
0.052699
0.767919
0.717989
0.242308
1
train
H1
H22
100
100
30
25
29
0.584181
-0.515421
-0.726747
-0.727592
0.531287
3.380128
0.588596
0.584181
0.726747
0.336645
0.52939
0.487388
0.265494
0.50997
0.598652
0.534845
1
train
H0
H22
150
150
30
32
27.333333
-0.030647
-0.026194
0.24024
0.238868
0.265818
0.27108
0.273816
0.238868
0.24024
0.872051
0.057058
0.006075
0.000354
0.236379
0.218446
0.019199
1
train
H1
H22
150
150
30
37.333333
24
-1.893137
1.916387
1.661344
1.651486
3.603862
3.492879
3.630847
1.651486
1.916387
0.043684
2.727408
3.388888
3.6726
0.755797
0.881113
-2.017107
1
train
H0
H22
200
200
30
25.5
32.5
0.233415
-0.294662
0.098467
0.09855
0.731495
0.723943
0.711605
0.233415
0.294662
0.700611
0.009712
0.021722
0.084428
0.324122
0.30003
0.303995
1
train
H1
H22
200
200
30
32.5
27.5
-1.613934
1.557589
1.79727
1.802248
3.27382
3.290816
3.267344
-1.613934
1.79727
0.101739
3.248098
2.808414
2.431579
2.657897
2.682497
-1.636483
1
train
H0
H22
300
300
30
30
33
0.390167
-0.346089
-0.446108
-0.445392
0.199736
0.310522
0.201961
0.390167
0.446108
0.717735
0.198374
0.179303
0.117266
0.173064
0.152826
0.361487
1
train
H1
H22
300
300
30
25.333333
30.666667
-1.785796
1.918913
1.065798
1.068917
5.160896
4.975798
5.221952
-1.785796
1.918913
0.043924
1.142583
2.661432
3.692682
0.043356
0.036204
-2.014811
1
train
H0
H22
500
500
30
30.8
31.4
-0.283351
0.294974
0.340657
0.340081
0.164091
1.043094
0.121652
-0.283351
0.340657
0.754217
0.115655
0.068376
0.088293
0.124618
0.105608
-0.313084
1
train
H1
H22
500
500
30
31
30
-1.39008
1.308002
1.804292
1.811621
4.170753
5.671645
3.898029
1.811621
1.804292
0.128725
3.281969
2.084453
1.712417
3.807531
3.763358
-1.366148
1
train
H0
H22
1,000
1,000
30
27.1
30.5
0.027873
-0.015048
-0.069833
-0.069793
0.00895
0.203883
0.013342
-0.069793
0.069833
0.97696
0.004871
0.001211
0.000188
0.009018
0.010394
0.014348
1
train
H1
H22
1,000
1,000
30
30.3
29.3
-0.410178
0.494018
0.373781
0.373633
0.14928
3.738586
0.168463
-0.410178
0.494018
0.291111
0.139602
0.103765
0.24419
0.0489
0.041818
-0.519084