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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84.2
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99.4
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10.526285
14.493033
12.215905
3.244803
3.244803
0.001164
4.79228
8.280165
10.581718
0.397307
0.371381
3.24751
5
train
H0
H14
500
500
0
0
0
-0.122191
0.122191
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2.650706
3.297664
2.537213
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0.676405
0.281223
0.458731
0.02291
0.014925
1.685658
1.743498
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5
train
H1
H14
500
500
0
0
0
0.250732
-0.250732
1.150479
1.154342
7.479272
7.082038
7.876144
0.250732
1.150479
0.019486
1.332506
0.091001
0.062868
5.202297
5.133979
0.250857
5
train
H0
H14
1,000
1,000
0
0
0
0.206533
-0.206533
-0.542052
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0.52395
0.727856
0.572387
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0.542052
0.751117
0.293448
0.115012
0.042647
0.520083
0.515134
0.206585
5
train
H1
H14
1,000
1,000
0
0
0
0.02873
-0.02873
0.887743
0.887525
2.245273
4.853905
3.356328
0.02873
0.887743
0.182813
0.787701
0.17116
0.000825
2.478962
2.56161
0.028738
5
train
H0
H14
20
20
10
20
10
-0.182471
0.180813
0.102727
0.101908
0.083832
0.335458
0.061236
-0.182471
0.180813
0.854423
0.010385
0.028592
0.032357
0.009811
0.017546
-0.183478
5
train
H1
H14
20
20
10
0
5
1.832844
-1.818644
-1.932577
-1.991582
3.966505
4.880471
3.971494
-1.991582
1.932577
0.065033
3.966401
3.685069
3.337547
2.509477
2.447356
1.845031
5
train
H0
H14
30
30
10
6.666667
0
-0.195475
0.184906
0.567198
0.557205
0.901095
1.450105
0.742816
-0.195475
0.567198
0.689762
0.310477
0.09006
0.033971
0.817702
0.68622
-0.189962
5
train
H1
H14
30
30
10
10
10
-0.705937
0.669042
1.016018
1.016564
1.454377
1.911085
1.340324
1.016564
1.016018
0.493213
1.033403
0.621685
0.445801
1.544895
1.451902
-0.685207
5
train
H0
H14
50
50
10
4
12
1.915312
-1.935969
-2.175073
-2.214339
4.905119
5.641937
4.936808
-2.214339
2.175073
0.050724
4.903296
4.772488
3.781461
4.082609
4.373372
1.953805
5
train
H1
H14
50
50
10
10
12
-1.75431
1.726458
1.860251
1.918043
3.71901
3.833169
3.683489
-1.75431
1.860251
0.080406
3.678889
3.634494
3.006954
2.39288
2.541566
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5
train
H0
H14
75
75
10
9.333333
4
-1.868628
1.859812
1.852947
1.862805
3.829196
4.925279
3.678795
1.862805
1.859812
0.06287
3.470041
3.813057
3.471015
1.834238
2.150808
-1.860108
5
train
H1
H14
75
75
10
18.666667
10.666667
-1.223416
1.108333
2.422969
2.532694
16.373109
16.914263
16.541403
2.532694
2.422969
0.000256
6.414541
3.046147
1.233793
14.176149
14.123601
-1.099387
5
train
H0
H14
100
100
10
7
17
1.270636
-1.224479
-1.751653
-1.75374
3.467657
4.827102
3.646981
-1.75374
1.751653
0.161461
3.075604
2.252165
1.498281
3.453543
3.656164
1.233743
5
train
H1
H14
100
100
10
12
18
1.036449
-1.079874
-0.562914
-0.566518
2.51918
5.064149
1.96985
1.036449
1.079874
0.16716
0.320942
0.9582
1.166221
0.03006
0.011195
1.091938
5
train
H0
H14
150
150
10
13.333333
10
-0.04753
0.03067
0.263651
0.263094
0.174929
1.776216
0.258639
-0.04753
0.263651
0.620124
0.069219
0.022493
0.00094
0.210024
0.254833
-0.031844
5
train
H1
H14
150
150
10
13.333333
12
-2.675516
2.653433
2.682392
2.726985
7.562787
9.434316
7.694066
-2.675516
2.682392
0.007322
7.436448
7.376561
7.087394
4.197381
4.076304
-2.681841
5
train
H0
H14
200
200
10
9.5
5.5
-1.274192
1.24145
1.728888
1.730775
3.245925
3.272565
3.324333
-1.274192
1.728888
0.189727
2.995581
2.201512
1.541349
3.277118
3.27469
-1.249054
5
train
H1
H14
200
200
10
12
7
-0.229229
0.167195
1.473551
1.490667
10.521533
15.777052
9.07735
1.490667
1.473551
0.00126
2.222087
0.397929
0.027936
6.871441
6.636282
-0.175564
5
train
H0
H14
300
300
10
10.333333
9
-1.060687
1.07964
0.830411
0.828915
1.053125
2.134761
1.194855
-1.060687
1.07964
0.277771
0.687101
0.990034
1.166179
0.117113
0.103445
-1.085341
5
train
H1
H14
300
300
10
7
8
-1.094758
1.085642
1.074413
1.074602
1.229979
1.222756
1.249305
-1.094758
1.085642
0.274465
1.15477
1.194403
1.17843
0.620225
0.648493
-1.092838
5
train
H0
H14
500
500
10
12.2
9.8
-0.370119
0.422987
-0.427762
-0.428531
3.100334
3.518549
3.154869
-0.370119
0.427762
0.206504
0.183639
0.011976
0.178881
1.567714
1.547767
-0.426062
5
train
H1
H14
500
500
10
9.4
10
-0.448021
0.422514
0.886384
0.887934
1.376397
1.453841
1.37887
0.887934
0.886384
0.50186
0.788427
0.39199
0.178485
1.391778
1.344969
-0.425842
5
train
H0
H14
1,000
1,000
10
8.4
10.3
-0.007516
0.014374
0.08179
0.081813
0.057674
1.626744
0.027681
0.081813
0.08179
0.653341
0.006693
0.001338
0.000207
0.024133
0.01745
-0.014372
5
train
H1
H14
1,000
1,000
10
10.2
9.4
0.253175
-0.338142
1.389292
1.394217
13.951664
14.010381
13.344856
0.253175
1.389292
0.001265
1.943842
0.091861
0.114344
8.446975
8.341365
0.342488
5
train
H0
H14
20
20
20
25
20
-0.017488
0.116388
-0.374022
-0.379112
1.673269
2.412329
1.534259
-0.379112
0.374022
0.464344
0.143726
0.00338
0.013451
0.698107
0.569215
-0.119735
5
train
H1
H14
20
20
20
10
20
-1.991706
2.08812
0.74948
0.765248
10.488523
10.662658
10.477181
-1.991706
2.08812
0.005308
0.585605
2.707649
4.553728
2.224307
2.028351
-2.105361
5
train
H0
H14
30
30
20
30
23.333333
-0.139461
0.016013
0.701745
0.704353
3.159385
4.060854
2.935078
0.704353
0.701745
0.230492
0.496113
0.070985
0.000255
2.168061
1.959605
-0.040168
5
train
H1
H14
30
30
20
20
16.666667
-0.124585
0.120563
-0.009462
-0.009377
0.219091
2.072178
0.10373
-0.124585
0.120563
0.557562
0.000088
0.015984
0.014445
0.011078
0.000011
-0.124414
5
train
H0
H14
50
50
20
14
20
0.802799
-0.755829
-0.844347
-0.849425
0.834718
12.412383
0.724795
0.802799
0.844347
0.006096
0.721523
0.437352
0.571647
0.492515
0.350565
0.772149
5
train
H1
H14
50
50
20
14
26
1.076111
-1.0107
-1.365648
-1.359563
1.981287
3.294163
2.069708
-1.359563
1.365648
0.301782
1.848413
1.513258
1.020537
1.79957
2.055317
1.032619
5
train
H0
H14
75
75
20
22.666667
20
-0.701236
0.753974
0.445684
0.443984
0.751657
0.950045
0.793719
-0.701236
0.753974
0.448074
0.197122
0.407158
0.567556
0.000155
0.000254
-0.75863
5
train
H1
H14
75
75
20
18.666667
24
0.20753
-0.22914
0.075288
0.075848
0.750136
2.75843
0.548208
0.20753
0.22914
0.430389
0.005753
0.023971
0.052425
0.260927
0.208607
0.232883
5
train
H0
H14
100
100
20
21
16
-0.477679
0.415507
1.054966
1.053481
2.291044
3.441322
2.630679
1.053481
1.054966
0.268383
1.109823
0.537933
0.172597
2.496618
2.598756
-0.424311
5
train
H1
H14
100
100
20
14
23
1.68308
-1.727164
-1.025619
-1.026208
4.373616
4.979837
4.703857
1.68308
1.727164
0.081559
1.053103
2.089739
2.992707
0.003968
0.003518
1.741709
5
train
H0
H14
150
150
20
24.666667
20.666667
-1.135337
1.211805
0.508975
0.508859
3.185644
4.206064
3.501067
0.508859
1.211805
0.173681
0.258938
0.837977
1.468236
0.250139
0.251288
-1.227491
5
train
H1
H14
150
150
20
28
19.333333
-0.839116
0.741897
1.500565
1.502383
4.664542
4.803057
4.677183
1.502383
1.500565
0.096463
2.257153
1.155553
0.549984
4.473437
4.489593
-0.75657
5
train
H0
H14
200
200
20
24.5
15.5
0.060986
-0.0997
0.261015
0.260907
0.596083
0.526947
0.631034
0.260907
0.261015
0.729412
0.068072
0.002568
0.009934
0.418038
0.386407
0.102653
5
train
H1
H14
200
200
20
20.5
22
0.414405
-0.474751
-0.058896
-0.058798
1.409236
5.657122
0.857105
0.414405
0.474751
0.129537
0.003457
0.185771
0.225188
0.20116
0.140335
0.479134
5
train
H0
H14
300
300
20
20.666667
18
0.071996
-0.106507
0.208256
0.20779
0.417814
0.581212
0.475679
0.20779
0.208256
0.788329
0.043177
0.000971
0.011339
0.293263
0.33252
0.107043
5
train
H1
H14
300
300
20
19.666667
22.333333
0.161329
-0.214837
0.334039
0.334404
1.294426
3.205968
1.627361
0.334404
0.334039
0.360946
0.111826
0.003243
0.04615
0.883364
0.909421
0.21888
5
train
H0
H14
500
500
20
22.6
15.6
-2.519076
2.480591
2.451464
2.454551
6.692259
7.792962
6.483333
-2.519076
2.480591
0.012147
6.024822
6.675055
6.157179
2.996882
3.07465
-2.507858
5
train
H1
H14
500
500
20
18.6
19.2
0.248058
-0.349136
0.515151
0.517137
3.476347
3.564951
3.540401
0.248058
0.515151
0.170299
0.267431
0.000184
0.121874
1.925032
1.909097
0.355592
5
train
H0
H14
1,000
1,000
20
20.7
20.4
-0.33085
0.315285
0.442024
0.441774
0.264868
0.513121
0.231246
0.441774
0.442024
0.749772
0.195164
0.116431
0.099389
0.243387
0.2436
-0.31894
5
train
H1
H14
1,000
1,000
20
19.3
18.1
-0.118565
-0.050396
1.473507
1.479378
12.246948
12.424758
11.681243
-0.118565
1.473507
0.002907
2.18856
0.254849
0.00254
8.13256
8.041148
0.051859