Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
27 values
n1
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1k
n2
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84.2
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99.4
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0
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71.9
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0
71.6
WKM_test
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-3.003645
3.003645
0.002646
5.642802
8.112785
9.056402
1.025018
1.016773
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7
train
H0
H04
500
500
0
0
0
-1.15665
1.15665
1.495996
1.496781
2.274753
2.304831
2.323778
1.496781
1.495996
0.247179
2.240355
1.858978
1.337942
2.102122
2.059293
-1.157229
7
train
H1
H04
500
500
0
0
0
-1.065117
1.065117
0.358193
0.357601
1.954771
2.82636
2.427275
-1.065117
1.065117
0.286582
0.127878
0.632263
1.134537
0.204177
0.221607
-1.06565
7
train
H0
H04
1,000
1,000
0
0
0
1.337162
-1.337162
-1.818764
-1.82108
3.73261
3.884492
3.558189
1.337162
1.818764
0.168791
3.316334
2.269829
1.788086
3.284435
3.252115
1.337496
7
train
H1
H04
1,000
1,000
0
0
0
-3.104659
3.104659
1.082799
1.083924
17.713604
17.12392
20.151981
-3.104659
3.104659
0.000042
1.174892
5.601916
9.654515
1.795688
1.737096
-3.105436
7
train
H0
H04
20
20
10
15
0
0.003271
-0.068591
1.239302
1.279598
12.222658
12.055744
12.095234
0.003271
1.239302
0.002363
1.63737
0.274165
0.004713
6.850266
6.507481
0.050008
7
train
H1
H04
20
20
10
20
10
-0.458548
0.413183
1.021295
1.031762
2.344805
5.013871
2.711256
-0.458548
1.021295
0.170784
1.064532
0.542094
0.171038
2.477563
2.632835
-0.443284
7
train
H0
H04
30
30
10
3.333333
0
1.022036
-1.02766
-0.642861
-0.638517
1.605398
2.341464
1.384976
1.022036
1.02766
0.300017
0.407704
0.866898
1.056254
0.001186
0.024888
1.036397
7
train
H1
H04
30
30
10
10
10
-0.978592
1.076367
0.217995
0.216299
2.068092
8.669628
3.23141
-0.978592
1.076367
0.034022
0.046785
0.438115
1.167273
0.707832
0.994922
-1.075915
7
train
H0
H04
50
50
10
18
20
0.508325
-0.467614
-0.708535
-0.705676
0.54098
2.347354
0.621296
-0.705676
0.708535
0.50351
0.497978
0.389471
0.218014
0.510258
0.582267
0.480843
7
train
H1
H04
50
50
10
12
14
-0.934382
1.003395
0.391972
0.389314
1.536022
4.610048
2.024328
-0.934382
1.003395
0.202682
0.151566
0.527347
1.00911
0.141994
0.180661
-1.014203
7
train
H0
H04
75
75
10
6.666667
4
0.275715
-0.268346
-0.469679
-0.470578
0.260776
1.730343
0.319261
-0.470578
0.469679
0.630209
0.221443
0.14581
0.071861
0.28091
0.346557
0.265168
7
train
H1
H04
75
75
10
8
6.666667
-0.778476
0.76004
1.016739
1.027096
1.539122
8.859313
1.174137
-0.778476
1.016739
0.031221
1.054927
0.603031
0.576761
1.220964
1.083663
-0.765213
7
train
H0
H04
100
100
10
5
11
0.989112
-0.927523
-2.045467
-2.082444
9.205199
9.478222
8.850119
-2.082444
2.045467
0.011973
4.336571
1.939231
0.859907
8.011221
7.827861
0.941093
7
train
H1
H04
100
100
10
12
12
-0.231089
0.287218
-0.387371
-0.387691
2.392422
2.757644
2.045159
-0.231089
0.387371
0.359666
0.150304
0.006822
0.082389
1.100587
0.987893
-0.285771
7
train
H0
H04
150
150
10
11.333333
12.666667
0.319479
-0.347236
0.131698
0.131517
0.597868
3.610568
1.035136
0.319479
0.347236
0.306702
0.017297
0.007264
0.120534
0.418686
0.495962
0.350576
7
train
H1
H04
150
150
10
11.333333
14
1.195467
-1.172149
-1.469059
-1.471477
2.167603
5.301732
2.253974
-1.471477
1.469059
0.15099
2.165243
2.097941
1.376103
1.999942
2.232575
1.182583
7
train
H0
H04
200
200
10
9
5.5
-0.663517
0.639089
1.078552
1.075734
1.488672
1.710373
1.543496
1.075734
1.078552
0.462204
1.157203
0.685725
0.408066
1.61279
1.63207
-0.644015
7
train
H1
H04
200
200
10
14
10.5
-0.886767
0.862139
0.87576
0.876164
1.106798
7.242881
0.817212
0.876164
0.87576
0.064546
0.767663
0.992326
0.742722
0.39522
0.518463
-0.869952
7
train
H0
H04
300
300
10
11
12
-0.548066
0.556556
0.44093
0.439899
0.28981
0.41832
0.313235
-0.548066
0.556556
0.574566
0.193511
0.272192
0.309696
0.046613
0.046671
-0.561339
7
train
H1
H04
300
300
10
7.333333
12.333333
-0.318875
0.360993
-0.350111
-0.349608
1.785222
1.740933
2.053582
-0.318875
0.360993
0.358154
0.122226
0.003513
0.130303
0.997029
0.974595
-0.363536
7
train
H0
H04
500
500
10
9.6
9.6
-0.068043
0.06227
0.138503
0.138262
0.026185
1.00895
0.033794
-0.068043
0.138503
0.799086
0.019116
0.025368
0.003876
0.036689
0.050752
-0.062763
7
train
H1
H04
500
500
10
13
11
-1.775308
1.83387
0.827461
0.827339
5.074827
6.87818
6.211158
-1.775308
1.83387
0.044799
0.68449
2.009271
3.365965
0.291946
0.286126
-1.846318
7
train
H0
H04
1,000
1,000
10
10.4
9.3
-0.077603
0.019982
0.875321
0.8752
2.46053
3.244259
3.11374
0.8752
0.875321
0.210795
0.765975
0.170708
0.000399
2.357388
2.387351
-0.020254
7
train
H1
H04
1,000
1,000
10
9.5
10.6
-3.467541
3.501434
2.481441
2.486292
13.27345
13.637704
13.887659
-3.467541
3.501434
0.000423
6.181647
10.144061
12.2819
0.419117
0.423539
-3.525301
7
train
H0
H04
20
20
20
20
10
-1.423568
1.354385
1.821378
1.887913
4.507885
4.632323
4.579355
-1.423568
1.821378
0.101299
3.564216
2.632023
1.839154
5.088493
5.163849
-1.396409
7
train
H1
H04
20
20
20
25
15
-1.283352
1.260125
1.47595
1.504345
2.51489
3.385886
2.464366
1.504345
1.47595
0.211392
2.263053
1.882136
1.589782
2.858675
2.817938
-1.249746
7
train
H0
H04
30
30
20
16.666667
20
0.003298
0.086445
-0.513763
-0.509889
1.761463
1.823173
1.685935
-0.509889
0.513763
0.430431
0.259987
0.020285
0.007438
0.989697
0.875414
-0.083254
7
train
H1
H04
30
30
20
20
20
-1.73631
1.817322
1.046213
1.048022
5.087318
4.899263
5.115185
-1.73631
1.817322
0.065762
1.09835
2.426748
3.332249
0.087513
0.024759
-1.840045
7
train
H0
H04
50
50
20
24
24
1.355253
-1.460112
-0.570697
-0.570432
5.396013
5.692163
5.088542
1.355253
1.460112
0.07853
0.325393
1.408818
2.140371
0.322554
0.23606
1.492901
7
train
H1
H04
50
50
20
24
30
-1.556914
1.513781
1.454732
1.482687
2.344096
3.06495
2.462775
1.482687
1.513781
0.116517
2.198361
2.184149
2.311865
0.972576
0.909887
-1.569562
7
train
H0
H04
75
75
20
24
25.333333
0.258337
-0.245535
-0.430994
-0.428581
0.345834
0.412907
0.330377
-0.428581
0.430994
0.802036
0.183682
0.100605
0.060177
0.267858
0.23561
0.250713
7
train
H1
H04
75
75
20
6.666667
13.333333
2.233882
-2.260975
-1.458991
-1.47297
7.067988
7.458471
6.687203
2.233882
2.260975
0.023342
2.169639
4.127467
5.140482
0.070075
0.105494
2.267795
7
train
H0
H04
100
100
20
17
17
-0.008347
0.015427
-0.009934
-0.009901
0.001874
0.002264
0.001897
-0.009901
0.015427
0.988569
0.000098
0.000138
0.000238
0.000743
0.00186
-0.014327
7
train
H1
H04
100
100
20
24
25
-1.207025
1.496633
-0.204721
-0.206369
15.398874
15.600665
14.912155
-1.207025
1.496633
0.000578
0.042588
0.798998
2.246412
5.99714
5.716898
-1.509276
7
train
H0
H04
150
150
20
19.333333
20.666667
-0.031113
-0.011902
0.368513
0.367439
0.449438
2.276273
0.704164
0.367439
0.368513
0.517082
0.135011
0.046761
0.000142
0.55509
0.629341
0.010322
7
train
H1
H04
150
150
20
27.333333
19.333333
-1.094301
1.085199
1.064971
1.060867
1.128154
3.75493
1.215963
-1.094301
1.085199
0.26942
1.125439
0.98305
1.177522
0.600647
0.51331
-1.104399
7
train
H0
H04
200
200
20
23
20
-0.190174
0.083566
0.732014
0.731596
1.625583
2.005744
1.923627
0.731596
0.732014
0.382199
0.535232
0.146792
0.006979
1.593922
1.607732
-0.086639
7
train
H1
H04
200
200
20
22
19
-1.801291
1.744589
1.95118
1.958646
3.85206
4.412083
3.836628
1.958646
1.95118
0.075676
3.836293
3.649488
3.047888
2.750308
2.839983
-1.776345
7
train
H0
H04
300
300
20
21
23.333333
0.419657
-0.452495
-0.194848
-0.194701
0.558584
0.847582
0.413098
-0.194701
0.452495
0.645889
0.037908
0.177371
0.204635
0.02745
0.024333
0.45948
7
train
H1
H04
300
300
20
16
22.333333
0.894313
-0.88603
-0.875935
-0.876796
0.888279
1.529798
0.821616
0.894313
0.88603
0.367254
0.768772
0.908673
0.784787
0.377932
0.407665
0.901629
7
train
H0
H04
500
500
20
22.6
19
-0.032273
-0.11542
0.961788
0.963717
5.728538
6.067668
5.438811
0.963717
0.961788
0.065914
0.928751
0.079484
0.013319
3.762263
3.65134
0.116503
7
train
H1
H04
500
500
20
20.2
23.2
-0.730277
0.814783
0.043904
0.043954
4.062691
8.29259
3.085845
-0.730277
0.814783
0.040336
0.001932
0.405952
0.663891
0.798981
0.716399
-0.826252
7
train
H0
H04
1,000
1,000
20
20.6
22.1
0.332802
-0.359811
-0.333952
-0.333772
0.159082
3.410965
0.116036
-0.333772
0.359811
0.332495
0.111404
0.063188
0.129446
0.058605
0.056817
0.365856
7
train
H1
H04
1,000
1,000
20
19.7
21.2
-1.974171
2.052613
1.277796
1.278446
5.49804
5.847025
5.617391
-1.974171
2.052613
0.037262
1.634424
3.291189
4.21595
0.000443
0.001093
-2.082886