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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0
71.6
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40.333333
42.666667
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0.250851
0.25116
0.785016
0.062926
0.073311
0.062443
0.034294
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8
train
H0
H08
500
500
40
38.6
38.4
0.265261
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1.768951
1.86098
1.783568
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0.727009
0.409924
0.530528
0.123259
0.015442
1.451664
1.44408
0.13408
8
train
H1
H08
500
500
40
37.6
40.8
0.976551
-0.848495
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2.42952
2.418947
2.453452
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1.350522
0.293251
1.826909
1.149231
0.71253
2.366331
2.366237
0.917457
8
train
H0
H08
1,000
1,000
40
41.8
40.7
0.365175
-0.275083
-0.369923
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0.228915
5.51719
0.13985
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0.369923
0.137614
0.13677
0.16344
0.073696
0.072214
0.102113
0.296142
8
train
H1
H08
1,000
1,000
40
41.7
38.1
-0.068542
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0.34763
0.347469
0.314942
6.364569
0.656921
0.347469
0.34763
0.095159
0.120735
0.045927
0.012882
0.47739
0.495292
0.122811
8
train
H0
H08
20
20
50
30
45
1.103725
-1.363171
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1.324974
4.658512
1.63521
1.103725
1.363171
0.13908
0.593069
1.100796
1.76069
0.001212
0.000216
1.479227
8
train
H1
H08
20
20
50
60
65
0.368808
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0.214518
1.560316
0.193779
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0.417855
0.65866
0.094884
0.143484
0.137487
0.002678
0.000004
0.441764
8
train
H0
H08
30
30
50
56.666667
56.666667
-0.760035
1.093956
0.282283
0.279074
3.776
3.692387
3.762074
0.279074
1.093956
0.152432
0.077882
0.614753
1.220554
0.742701
0.638634
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8
train
H1
H08
30
30
50
43.333333
43.333333
-0.168092
0.100063
0.345497
0.345082
0.51418
2.805804
0.410144
0.345082
0.345497
0.422545
0.119082
0.029391
0.014307
0.523214
0.419841
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8
train
H0
H08
50
50
50
54
58
1.299885
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2.149043
5.91203
2.51184
1.299885
1.647805
0.06014
0.885688
1.774552
2.584367
0.014709
0.003141
1.879766
8
train
H1
H08
50
50
50
52
46
0.149396
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0.081459
0.080452
0.346767
0.846555
0.446023
0.080452
0.38731
0.692341
0.006473
0.017866
0.130349
0.302891
0.315954
0.39568
8
train
H0
H08
75
75
50
52
49.333333
0.822769
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0.925105
3.062525
1.082816
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1.02008
0.262946
0.349983
0.667135
0.977455
0.005033
0.000151
1.119455
8
train
H1
H08
75
75
50
45.333333
34.666667
0.585954
-0.583077
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0.845777
0.970402
0.832202
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0.773827
0.539232
0.626021
0.397747
0.31973
0.7391
0.764531
0.613975
8
train
H0
H08
100
100
50
58
54
0.999751
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-0.704017
-0.707524
1.885914
2.105463
1.811772
-0.707524
1.16763
0.188168
0.50059
1.04159
1.295197
0.005365
0.000861
1.316017
8
train
H1
H08
100
100
50
53
44
-0.264223
0.121196
0.385696
0.389348
0.240473
1.26043
0.280462
0.389348
0.385696
0.73855
0.151592
0.083052
0.022631
0.36413
0.37674
-0.16936
8
train
H0
H08
150
150
50
48.666667
50.666667
0.444803
-0.36173
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0.729334
0.808527
0.754593
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0.655265
0.685713
0.429329
0.2544
0.116565
0.622631
0.650212
0.386963
8
train
H1
H08
150
150
50
43.333333
53.333333
0.30211
-0.279176
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-0.474424
0.545713
1.530464
0.442022
-0.474424
0.475356
0.675257
0.225078
0.077516
0.074237
0.382493
0.35124
0.305681
8
train
H0
H08
200
200
50
54
50
-0.917724
1.157798
0.46402
0.462318
2.115074
1.972663
2.31815
-0.917724
1.157798
0.181605
0.213738
0.762385
1.378336
0.177189
0.142274
-1.33583
8
train
H1
H08
200
200
50
52
49
0.459501
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-0.374264
-0.373734
0.27398
0.578646
0.245008
-0.373734
0.471972
0.609654
0.139677
0.196944
0.210644
0.005997
0.020714
0.510567
8
train
H0
H08
300
300
50
45.666667
53
2.127603
-2.207893
-1.542823
-1.544011
7.195838
9.871135
6.428664
2.127603
2.207893
0.013343
2.38397
4.512246
4.827321
0.067323
0.101138
2.47448
8
train
H1
H08
300
300
50
48.666667
51.333333
1.168161
-1.266467
-0.955138
-0.954128
1.511514
1.732387
1.579628
1.168161
1.266467
0.160349
0.91036
1.334185
1.579411
0.096238
0.098504
1.403899
8
train
H0
H08
500
500
50
48.2
50.8
1.89245
-1.853407
-2.058439
-2.059486
4.283476
4.336058
4.260707
-2.059486
2.058439
0.039757
4.241483
3.621701
3.409083
3.117053
3.262417
2.05626
8
train
H1
H08
500
500
50
49
50.8
0.928972
-0.821288
-1.237415
-1.236801
2.23447
3.157339
2.090425
-1.236801
1.237415
0.351617
1.529676
0.878065
0.66153
2.000048
1.962643
0.907142
8
train
H0
H08
1,000
1,000
50
50
47.2
-1.530571
1.435276
1.594582
1.594264
2.548698
2.55001
2.548905
-1.530571
1.594582
0.108135
2.541677
2.3605
2.076415
1.675011
1.688823
-1.60663
8
train
H1
H08
1,000
1,000
50
50
51.4
1.800377
-2.00085
-1.451351
-1.451508
3.566511
4.265552
3.880747
-1.451508
2.00085
0.025027
2.106876
3.001584
3.980603
0.221778
0.228625
2.240993
8
train
H0
H09
20
20
0
0
0
-0.297551
0.297551
0.425936
0.420118
0.182243
3.047908
0.204749
0.420118
0.425936
0.384298
0.176499
0.181346
0.087824
0.27399
0.475654
-0.301342
8
train
H1
H09
20
20
0
0
0
0.595102
-0.595102
-1.20242
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2.952559
3.211676
3.032527
-1.229187
1.20242
0.219531
1.5109
0.763057
0.353027
2.728801
2.710466
0.602683
8
train
H0
H09
30
30
0
0
0
-0.798359
0.798359
0.527174
0.5196
1.010704
1.704086
0.778904
0.5196
0.798359
0.420764
0.269984
0.572017
0.635087
0.020279
0.067918
-0.805096
8
train
H1
H09
30
30
0
0
0
-1.478443
1.478443
0.957909
0.949091
2.861147
2.899647
2.741786
-1.478443
1.478443
0.135983
0.900773
1.77004
2.197923
0.008408
0.043297
-1.490919
8
train
H0
H09
50
50
0
0
0
1.358083
-1.358083
-1.545346
-1.562804
2.540995
5.94357
2.447091
1.358083
1.545346
0.114388
2.442357
1.99158
1.845653
1.749542
1.608643
1.364924
8
train
H1
H09
50
50
0
0
0
1.544216
-1.544216
-1.684766
-1.698647
2.885518
3.159563
2.894286
-1.698647
1.684766
0.120663
2.885402
2.628216
2.389419
1.864561
1.822601
1.551995
8
train
H0
H09
75
75
0
0
0
0.516825
-0.516825
-0.443944
-0.441389
0.203383
2.040617
0.267189
0.516825
0.516825
0.564019
0.194824
0.214923
0.266737
0.043845
0.021887
0.515088
8
train
H1
H09
75
75
0
0
0
1.509129
-1.509129
-1.690891
-1.721231
3.203425
12.591863
2.964689
1.509129
1.690891
0.005608
2.962637
2.29271
2.283908
2.218625
2.03813
1.504057
8
train
H0
H09
100
100
0
0
0
1.558882
-1.558882
-0.312518
-0.312201
6.659064
6.386302
7.116513
1.558882
1.558882
0.028488
0.097469
1.200165
2.436937
1.013567
0.919294
1.562794
8
train
H1
H09
100
100
0
0
0
0.415376
-0.415376
-1.164449
-1.173687
3.579937
4.75259
3.110459
-1.173687
1.164449
0.190836
1.377541
0.466022
0.172283
2.654467
2.50707
0.416418
8
train
H0
H09
150
150
0
0
0
0.661565
-0.661565
-0.864702
-0.864074
0.773262
1.722868
0.782234
0.661565
0.864702
0.507542
0.746625
0.546685
0.437355
0.669342
0.7589
0.66267
8
train
H1
H09
150
150
0
0
0
0.69085
-0.69085
-1.838535
-1.862341
6.7368
7.072606
7.452653
-1.862341
1.838535
0.024081
3.468313
1.489722
0.477687
6.730612
6.730795
0.692004
8
train
H0
H09
200
200
0
0
0
-0.074385
0.074385
0.145417
0.144904
0.047997
0.092332
0.031912
0.144904
0.145417
0.94063
0.020997
0.006751
0.005527
0.046044
0.056216
-0.074478
8
train
H1
H09
200
200
0
0
0
1.235141
-1.235141
-1.965926
-1.993291
5.855213
6.888042
5.183063
1.235141
1.965926
0.074905
3.973209
2.173816
1.525788
5.14108
5.01924
1.236688
8
train
H0
H09
300
300
0
0
0
-0.466773
0.466773
0.734707
0.733547
0.59677
1.030354
0.65647
0.733547
0.734707
0.640384
0.538091
0.366672
0.217806
0.680513
0.737623
-0.467163
8
train
H1
H09
300
300
0
0
0
0.010833
-0.010833
-1.386774
-1.402303
9.759935
11.217639
8.478052
-1.402303
1.386774
0.010605
1.966453
0.231847
0.000117
6.324376
6.162805
0.010842
8
train
H0
H09
500
500
0
0
0
0.667231
-0.667231
-1.074786
-1.075554
1.715176
3.105546
1.450316
-1.075554
1.074786
0.375637
1.156815
0.622055
0.445092
1.39562
1.327962
0.667565
8
train
H1
H09
500
500
0
0
0
2.17819
-2.17819
-3.592561
-3.669457
21.004181
26.569335
18.609753
2.17819
3.592561
0.000007
13.464916
7.234862
4.74879
18.430648
18.256776
2.17928
8
train
H0
H09
1,000
1,000
0
0
0
0.887466
-0.887466
-0.751155
-0.750864
0.576854
3.332816
0.788953
0.887466
0.887466
0.343101
0.563796
0.597638
0.787536
0.16111
0.142726
0.887688
8
train
H1
H09
1,000
1,000
0
0
0
2.230281
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-3.914727
-3.9789
27.565545
43.474647
22.951688
-3.9789
3.914727
0
15.831643
7.671203
4.976377
22.685272
22.506625
2.230839