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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99.4
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0.376795
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0.509579
0.677183
0.431081
0.376795
0.452764
0.645016
0.030367
0.157803
0.204881
0.040789
0.051026
0.460697
0
train
H0
H16
500
500
30
30
26.6
-0.138646
0.063163
0.467437
0.467022
1.061755
1.629627
0.885128
0.467022
0.467437
0.642387
0.218109
0.028356
0.003988
0.727911
0.707099
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0
train
H1
H16
500
500
30
30.2
30.6
-0.119341
0.24339
-0.419597
-0.419617
2.285276
2.318899
2.394421
-0.419617
0.419597
0.302036
0.176078
0.000645
0.059226
1.259724
1.267041
-0.247621
0
train
H0
H16
1,000
1,000
30
28.2
30.7
1.685045
-1.757038
-1.250218
-1.250105
3.565807
3.752586
3.576948
1.685045
1.757038
0.071553
1.562762
2.638705
3.087573
0.10015
0.108178
1.801951
0
train
H1
H16
1,000
1,000
30
28.4
27.9
-0.938644
1.196748
-0.200798
-0.201296
9.288493
9.891492
9.620442
-0.201296
1.196748
0.008146
0.04052
0.459925
1.432427
3.418183
3.41128
-1.222513
0
train
H0
H16
20
20
40
35
60
0.641048
-0.614091
-0.713738
-0.70927
0.558474
0.770248
0.551471
-0.70927
0.713738
0.509262
0.503063
0.415637
0.375583
0.32946
0.306581
0.659987
0
train
H1
H16
20
20
40
30
40
-0.182666
0.22039
-0.0372
-0.037086
0.640543
1.20028
0.584145
-0.182666
0.22039
0.746715
0.001375
0.01617
0.048554
0.116858
0.102367
-0.227113
0
train
H0
H16
30
30
40
33.333333
36.666667
0.20042
-0.289315
0.020612
0.020421
0.452301
0.61111
0.462372
0.20042
0.289315
0.766058
0.000417
0.035146
0.083424
0.225774
0.237701
0.297535
0
train
H1
H16
30
30
40
66.666667
36.666667
-2.506952
2.571927
2.318685
2.324809
6.737916
6.761745
6.747375
-2.506952
2.571927
0.006984
5.404739
6.324032
6.687597
1.499192
1.587286
-2.697586
0
train
H0
H16
50
50
40
36
36
-0.543929
0.408236
0.737007
0.736866
0.733884
1.710879
0.793723
0.736866
0.737007
0.634518
0.542971
0.336332
0.16641
0.926131
1.16309
-0.4301
0
train
H1
H16
50
50
40
60
40
-0.914692
1.172789
0.600377
0.608344
1.678828
6.232853
2.017909
0.608344
1.172789
0.100815
0.370083
0.787944
1.377205
0.053667
0.141134
-1.278194
0
train
H0
H16
75
75
40
36
37.333333
0.037777
-0.027113
0.00555
0.005521
0.010682
0.182016
0.019364
0.005521
0.027113
0.977641
0.00003
0
0.000734
0.030914
0.019475
0.028027
0
train
H1
H16
75
75
40
40
40
0.293766
-0.339818
-0.156139
-0.15543
0.220182
0.578719
0.249523
0.293766
0.339818
0.727053
0.024158
0.071247
0.113832
0.04503
0.062385
0.349048
0
train
H0
H16
100
100
40
43
42
0.414917
-0.466449
-0.264891
-0.264014
0.464274
1.39667
0.385755
-0.264014
0.466449
0.629331
0.069703
0.206647
0.21725
0.015219
0.003336
0.482669
0
train
H1
H16
100
100
40
38
39
-0.645437
0.760913
0.344342
0.343277
0.874883
5.324799
1.224086
0.343277
0.760913
0.149501
0.117839
0.253223
0.578976
0.055059
0.094698
-0.782106
0
train
H0
H16
150
150
40
41.333333
42
-0.520748
0.451826
0.561518
0.561642
0.320367
2.123491
0.317726
0.561642
0.561518
0.547175
0.315442
0.355743
0.204237
0.288048
0.319767
-0.468474
0
train
H1
H16
150
150
40
36.666667
40
-0.111113
0.133891
-0.080007
-0.079828
0.404188
0.662743
0.360286
-0.079828
0.133891
0.835151
0.006372
0.004332
0.017913
0.113388
0.100854
-0.137893
0
train
H0
H16
200
200
40
42.5
39
-1.157473
1.155691
1.087332
1.087006
1.366474
1.446783
1.344473
1.087006
1.155691
0.232654
1.181583
1.372176
1.335756
0.519658
0.505541
-1.19355
0
train
H1
H16
200
200
40
40.5
40
-0.551639
0.803474
0.004608
0.004604
3.165829
4.89165
3.472889
0.004604
0.803474
0.176146
0.000021
0.229474
0.645181
0.9998
1.094534
-0.819607
0
train
H0
H16
300
300
40
37.666667
40.333333
0.883412
-0.93152
-0.649774
-0.650054
1.225059
1.339725
1.181518
-0.650054
0.93152
0.336368
0.42257
0.739649
0.867625
0.004711
0.007725
0.961366
0
train
H1
H16
300
300
40
33.666667
42.666667
0.700887
-0.407859
-1.537946
-1.536742
8.691104
9.966207
8.181975
-1.536742
1.537946
0.016723
2.361577
0.62329
0.166303
6.678334
6.512701
0.420738
0
train
H0
H16
500
500
40
39.6
45.4
-0.650488
1.02477
-0.192521
-0.192597
7.619945
7.681008
7.60839
-0.192597
1.02477
0.022277
0.037094
0.359191
1.050426
2.938141
2.925295
-1.06297
0
train
H1
H16
500
500
40
40.6
35.6
-1.660382
1.685876
1.367486
1.366872
3.346081
3.657239
3.224133
-1.660382
1.685876
0.083823
1.86834
2.671229
2.842215
0.273056
0.280264
-1.728921
0
train
H0
H16
1,000
1,000
40
37.7
41.1
0.861506
-0.645559
-1.30409
-1.303233
2.940657
2.970384
2.99437
-1.303233
1.30409
0.223759
1.698416
0.846351
0.416699
2.85694
2.835124
0.66931
0
train
H1
H16
1,000
1,000
40
35.7
40
1.68432
-1.359321
-2.339992
-2.342293
7.959709
9.832244
8.327854
-2.342293
2.339992
0.015546
5.486336
3.272912
1.847837
8.198844
8.365201
1.395471
0
train
H0
H16
20
20
50
70
35
-2.432131
2.418401
2.393777
2.423098
6.045245
6.152145
6.039556
-2.432131
2.418401
0.010897
5.871406
6.059214
5.958651
3.757497
3.880578
-2.54597
0
train
H1
H16
20
20
50
30
50
-0.292398
0.623762
-0.186118
-0.183568
2.386965
3.852857
2.59646
-0.183568
0.623762
0.273015
0.033697
0.088679
0.3899
1.008721
1.067229
-0.628665
0
train
H0
H16
30
30
50
53.333333
46.666667
0.990884
-0.924564
-0.951216
-0.999422
1.007961
1.084076
1.009054
-0.999422
0.951216
0.333844
0.998843
0.917406
0.854639
0.344315
0.337611
0.9664
0
train
H1
H16
30
30
50
26.666667
63.333333
1.699455
-1.445487
-2.116326
-2.090322
5.809582
7.543892
5.6252
-2.090322
2.116326
0.056441
4.369446
2.78209
2.080875
5.247818
4.875054
1.555828
0
train
H0
H16
50
50
50
44
56
1.469866
-1.425749
-1.474865
-1.474998
2.197585
2.374776
2.203373
1.469866
1.474865
0.131878
2.175618
2.137245
2.035248
1.087331
1.105498
1.506736
0
train
H1
H16
50
50
50
46
58
0.377888
-0.132771
-0.678299
-0.67343
1.597685
7.532722
1.833718
0.377888
0.678299
0.056724
0.453508
0.205603
0.017592
1.281005
1.473369
0.146886
0
train
H0
H16
75
75
50
53.333333
52
0.328008
-0.731928
0.243062
0.242446
5.682239
7.160784
5.923795
0.242446
0.731928
0.051721
0.05878
0.100044
0.535804
2.226801
2.196469
0.75052
0
train
H1
H16
75
75
50
42.666667
42.666667
-1.634017
2.037146
0.690135
0.690595
13.427115
13.357083
13.503237
0.690595
2.037146
0.001169
0.476921
2.3096
4.175536
2.667874
2.491319
-2.072796
0
train
H0
H16
100
100
50
49
60
1.983014
-2.088178
-1.797908
-1.796828
4.342035
5.444011
4.231622
1.983014
2.088178
0.030506
3.228593
4.293008
4.366389
0.791651
0.966483
2.163454
0
train
H1
H16
100
100
50
52
55
-0.37846
0.70075
-0.015802
-0.015756
2.672231
2.990228
2.739484
-0.015756
0.70075
0.254173
0.000248
0.172356
0.490475
0.813839
0.796184
-0.733557
0
train
H0
H16
150
150
50
43.333333
50
2.071222
-1.922677
-2.205885
-2.239051
5.104608
5.667536
5.129154
-2.239051
2.205885
0.048519
5.01335
4.48362
3.705249
3.988417
4.061835
1.972796
0
train
H1
H16
150
150
50
44.666667
42.666667
-0.309194
0.252294
0.39384
0.393108
0.298525
4.070705
0.209509
0.393108
0.39384
0.25393
0.154534
0.048297
0.063617
0.257841
0.210057
-0.260118
0
train
H0
H16
200
200
50
50.5
51.5
1.137262
-1.531072
-0.572919
-0.571506
4.43776
10.370939
5.129577
-0.571506
1.531072
0.015662
0.326619
1.263752
2.34395
0.531311
0.659588
1.602821
0
train
H1
H16
200
200
50
52
60
1.782861
-1.697149
-1.82003
-1.821334
3.31744
4.184355
3.317853
-1.821334
1.82003
0.076051
3.317259
2.974456
2.882223
2.160915
2.152581
1.774076
0
train
H0
H16
300
300
50
49
49.333333
0.110752
-0.42785
0.328146
0.328811
2.773276
3.022756
2.842246
0.328811
0.42785
0.241443
0.108117
0.01663
0.183028
1.433877
1.436664
0.4467
0
train
H1
H16
300
300
50
45.333333
51.666667
-0.060845
0.395951
-0.462659
-0.463063
4.555762
6.833576
4.16455
-0.463063
0.462659
0.077396
0.214428
0.025348
0.156756
2.270342
2.170369
-0.411065
0
train
H0
H16
500
500
50
50.8
50.2
0.003727
0.029217
-0.002351
-0.002349
0.001078
0.46207
0.000024
-0.002349
0.029217
0.927142
0.000006
0.000008
0.000853
0.000234
0.00053
-0.030432
0
train
H1
H16
500
500
50
46.8
52
0.857617
-0.38312
-1.526131
-1.525458
7.588119
7.757139
7.610295
-1.525458
1.526131
0.022256
2.327022
0.650256
0.146744
6.438391
6.607172
0.401257
0
train
H0
H16
1,000
1,000
50
52
52.2
0.976038
-1.29859
-0.506787
-0.506754
3.932749
4.203139
3.98335
0.976038
1.29859
0.136467
0.2568
1.06781
1.686288
0.421959
0.428782
1.355449
0
train
H1
H16
1,000
1,000
50
53.2
50.5
-1.560066
1.653946
1.323258
1.323083
2.953251
3.474406
3.042984
-1.560066
1.653946
0.085734
1.750548
2.313338
2.736005
0.235584
0.23856
-1.718343