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
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1k
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99.4
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0.232026
1.325337
1.271756
1.411023
0.659461
0.698611
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5
train
H0
H24
500
500
10
11
11.6
0.407163
-0.422995
-0.15085
-0.150817
0.254114
2.623637
0.405637
0.407163
0.422995
0.453361
0.022746
0.086864
0.178897
0.036932
0.051447
0.426564
5
train
H1
H24
500
500
10
10
8.2
0.281714
-0.297545
-0.052861
-0.052844
0.9651
3.537062
0.265217
0.281714
0.297545
0.315987
0.002793
0.154595
0.08859
0.035159
0.02048
0.29878
5
train
H0
H24
1,000
1,000
10
11.5
9.5
0.125461
-0.159753
0.589083
0.58901
3.695688
7.58802
2.494295
0.125461
0.589083
0.055339
0.346932
0.000001
0.025517
1.56582
1.504019
0.160344
5
train
H1
H24
1,000
1,000
10
10
10.9
1.998054
-2.011927
-1.430838
-1.435252
7.522927
18.960535
4.613025
1.998054
2.011927
0.000279
2.059948
4.47957
4.05349
0.248746
0.288727
2.028702
5
train
H0
H24
20
20
20
20
25
1.210027
-1.26154
-0.919273
-0.912733
1.988172
3.060092
1.811701
-0.912733
1.26154
0.202446
0.833081
1.367529
1.558369
0.058989
0.11426
1.274614
5
train
H1
H24
20
20
20
25
30
0.100528
-0.121439
-0.218117
-0.214472
0.060806
3.863365
0.125141
-0.214472
0.218117
0.276601
0.045998
0.055336
0.01121
0.057447
0.12999
0.100451
5
train
H0
H24
30
30
20
10
6.666667
-0.432985
0.440482
0.828528
0.822157
0.959334
1.869958
1.203606
-0.432985
0.828528
0.547823
0.675941
0.463033
0.194036
1.245356
1.371169
-0.452401
5
train
H1
H24
30
30
20
13.333333
20
-0.803127
0.720493
1.143213
1.172186
2.182544
3.754729
1.987835
1.172186
1.143213
0.289196
1.37402
0.782334
0.519459
2.280811
2.132929
-0.743503
5
train
H0
H24
50
50
20
22
20
2.082654
-2.104544
-2.019165
-2.09579
4.578432
4.790733
4.540631
-2.09579
2.104544
0.032473
4.392337
4.676467
4.481885
2.616126
2.634482
2.138542
5
train
H1
H24
50
50
20
30
22
-0.467064
0.475791
0.33328
0.331135
0.289102
0.297978
0.292677
-0.467064
0.475791
0.626735
0.10965
0.167508
0.225941
0.016629
0.02803
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5
train
H0
H24
75
75
20
24
16
-0.259292
0.334275
-0.156826
-0.157442
0.60137
6.453062
1.094562
-0.157442
0.334275
0.091532
0.024788
0.001908
0.111804
0.440272
0.553063
-0.340609
5
train
H1
H24
75
75
20
20
26.666667
0.261609
-0.263001
-0.188861
-0.18822
0.094483
0.165621
0.087386
0.261609
0.263001
0.786111
0.035427
0.066904
0.069015
0.000065
0.000996
0.271364
5
train
H0
H24
100
100
20
20
14
-1.74669
1.769713
1.585068
1.584175
3.133465
3.253016
3.06325
-1.74669
1.769713
0.073691
2.509611
3.120778
3.141736
0.89472
0.873884
-1.788525
5
train
H1
H24
100
100
20
15
24
0.657502
-0.578123
-1.081124
-1.076933
1.647434
2.311809
1.801814
-1.076933
1.081124
0.406201
1.159785
0.67843
0.333728
1.659775
1.717558
0.593827
5
train
H0
H24
150
150
20
18
21.333333
0.349855
-0.250538
-0.955077
-0.957101
2.42
3.13677
2.674663
-0.957101
0.955077
0.262545
0.916042
0.335812
0.062719
2.178116
2.190015
0.254861
5
train
H1
H24
150
150
20
15.333333
17.333333
-0.780231
0.84854
-0.109285
-0.109041
4.631781
4.448701
4.507
-0.780231
0.84854
0.105031
0.01189
0.255357
0.719734
1.423472
1.272684
-0.855236
5
train
H0
H24
200
200
20
15
22
2.348212
-2.318625
-2.405529
-2.416336
5.91441
7.678423
5.966103
2.348212
2.405529
0.018287
5.83868
5.794209
5.394219
3.559392
3.395507
2.359755
5
train
H1
H24
200
200
20
18.5
18
-0.603486
0.714889
-0.203792
-0.203919
2.640785
4.248388
3.608081
-0.603486
0.714889
0.164632
0.041583
0.066638
0.511543
1.356496
1.354852
-0.726094
5
train
H0
H24
300
300
20
20
20.333333
-0.219484
0.174087
0.603917
0.603834
1.015515
1.060314
1.051096
-0.219484
0.603917
0.591231
0.364615
0.122164
0.030301
0.918416
0.929299
-0.177895
5
train
H1
H24
300
300
20
20.333333
20
0.646563
-0.576654
-0.906865
-0.90725
0.842661
3.431738
1.016689
-0.90725
0.906865
0.329724
0.823103
0.700476
0.332605
0.985678
1.050816
0.588112
5
train
H0
H24
500
500
20
20
21.8
0.196039
-0.239915
0.154427
0.15464
0.929242
1.240277
0.72834
0.15464
0.239915
0.694773
0.023913
0.021036
0.057482
0.337042
0.335834
0.245183
5
train
H1
H24
500
500
20
20.4
21.4
-0.219416
0.249211
0.026146
0.026149
0.038867
1.780733
0.23728
0.026149
0.249211
0.619137
0.000684
0.001455
0.062116
0.051649
0.054422
-0.252978
5
train
H0
H24
1,000
1,000
20
21.5
20.4
-0.124846
0.098376
0.291232
0.291138
0.319388
1.098594
0.218268
0.291138
0.291232
0.777414
0.084761
0.016351
0.009676
0.20321
0.195045
-0.10005
5
train
H1
H24
1,000
1,000
20
20.5
21.6
0.589289
-0.570623
-0.62276
-0.623125
0.808141
14.05825
0.390485
0.589289
0.62276
0.002827
0.388285
0.720388
0.325735
0.286777
0.329356
0.579836
5
train
H0
H24
20
20
30
30
35
0.533242
-0.531219
-0.510014
-0.505005
0.29073
0.57405
0.281268
-0.505005
0.531219
0.589014
0.25503
0.301859
0.280074
0.040248
0.063953
0.540266
5
train
H1
H24
20
20
30
25
40
1.386664
-1.256357
-1.58494
-1.616918
2.94934
5.165825
2.862546
1.386664
1.58494
0.16005
2.614424
1.957689
1.594937
2.231405
2.04537
1.331875
5
train
H0
H24
30
30
30
36.666667
23.333333
0.170663
-0.251323
-0.043145
-0.04277
0.173217
0.276585
0.141094
0.170663
0.251323
0.799195
0.001829
0.044829
0.063224
0.037211
0.029381
0.25439
5
train
H1
H24
30
30
30
33.333333
30
-0.849034
0.877257
0.672495
0.672113
0.76241
5.760127
0.916544
0.672113
0.877257
0.123882
0.451735
0.550779
0.767358
0.089628
0.064195
-0.892667
5
train
H0
H24
50
50
30
16
28
0.883502
-0.82327
-1.254464
-1.24744
2.216539
3.220177
2.056535
-1.24744
1.254464
0.357626
1.556107
0.936126
0.675908
1.839212
1.674055
0.856841
5
train
H1
H24
50
50
30
40
24
-1.861588
1.911331
1.426015
1.420224
4.255993
7.444113
4.641218
-1.861588
1.911331
0.051522
2.017036
2.846348
3.665658
0.101776
0.088484
-1.947107
5
train
H0
H24
75
75
30
37.333333
38.666667
-0.145563
0.370196
-0.592306
-0.592757
6.288198
6.458175
6.155108
-0.592757
0.592306
0.046072
0.351361
0.000636
0.136917
3.348923
3.320876
-0.3712
5
train
H1
H24
75
75
30
28
34.666667
0.511072
-0.503294
-0.626648
-0.622119
0.423943
0.413799
0.426708
0.511072
0.626648
0.601832
0.387032
0.352347
0.252889
0.333907
0.38775
0.521768
5
train
H0
H24
100
100
30
29
34
0.996468
-1.076885
-0.50942
-0.508158
2.442729
2.579288
2.373982
0.996468
1.076885
0.260807
0.258224
0.788088
1.158218
0.105152
0.101817
1.124485
5
train
H1
H24
100
100
30
28
37
-0.750108
1.003132
-0.211739
-0.211935
7.264621
7.774262
7.608994
-0.211935
1.003132
0.02227
0.044916
0.255767
1.008878
2.864421
2.82582
-1.035372
5
train
H0
H24
150
150
30
29.333333
24
-0.069843
0.003678
0.278876
0.27809
0.202504
2.096821
0.322479
0.27809
0.278876
0.552556
0.077334
0.027964
0.000019
0.276656
0.306577
-0.005489
5
train
H1
H24
150
150
30
31.333333
25.333333
-0.875497
0.853977
0.991631
0.988074
1.062161
4.126252
0.990344
-0.875497
0.991631
0.24815
0.97629
0.71291
0.728652
0.872261
0.765148
-0.881751
5
train
H0
H24
200
200
30
31
37.5
0.987272
-0.91455
-1.128613
-1.127763
1.418998
4.836108
1.31784
-1.127763
1.128613
0.184199
1.271849
0.861289
0.835897
1.107283
0.991287
0.947351
5
train
H1
H24
200
200
30
27
27
-0.326458
0.417101
-0.180866
-0.180946
1.777937
1.598628
1.903582
-0.180946
0.417101
0.386049
0.032741
0.026021
0.173898
0.747584
0.684477
-0.424597
5
train
H0
H24
300
300
30
32.333333
23.666667
-1.364555
1.221336
1.947953
1.946549
5.513761
6.336808
5.29909
-1.364555
1.947953
0.070683
3.789052
2.247912
1.491604
5.468024
5.302067
-1.254988
5
train
H1
H24
300
300
30
29
31.333333
-0.200669
0.500386
-0.831805
-0.834156
6.751713
10.131387
8.364895
-0.834156
0.831805
0.015261
0.695815
0.01719
0.250665
4.85462
4.977478
-0.514137
5
train
H0
H24
500
500
30
29.6
31.8
-0.592228
0.68855
0.188905
0.188977
1.539198
1.69257
1.410161
-0.592228
0.68855
0.479313
0.035712
0.296968
0.474122
0.218083
0.206597
-0.707407
5
train
H1
H24
500
500
30
33.4
30.6
-0.349926
0.373917
0.211709
0.211561
0.134046
0.463747
0.228634
-0.349926
0.373917
0.700852
0.044758
0.058115
0.139834
0.001348
0.001344
-0.38417
5
train
H0
H24
1,000
1,000
30
31.4
30.4
-0.592516
0.464178
1.052208
1.052313
2.395752
2.35666
2.37654
1.052313
1.052208
0.304748
1.107363
0.491586
0.215455
2.276274
2.276464
-0.477523
5
train
H1
H24
1,000
1,000
30
31.1
29.7
0.334639
-0.285644
-0.41078
-0.411154
0.260202
12.793245
0.188247
0.334639
0.41078
0.005106
0.169048
0.315716
0.081653
0.198882
0.212941
0.293146