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
int64
20
1k
n2
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perc
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143
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0
1
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84.2
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99.4
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0
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0
71.9
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0
71.6
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3
train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
H1
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train
H0
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train
H1
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train
H0
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train
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
H16
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train
H1
H16
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train
H0
H16
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train
H1
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train
H0
H16
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train
H1
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train
H0
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train
H1
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train
H0
H16
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train
H1
H16
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train
H0
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train
H1
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train
H0
H16
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20
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train
H1
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train
H0
H16
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train
H1
H16
30
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train
H0
H16
50
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train
H1
H16
50
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train
H0
H16
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train
H1
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train
H0
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train
H1
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100
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train
H0
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train
H1
H16
150
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train
H0
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train
H1
H16
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train
H0
H16
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train
H1
H16
300
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22
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0.142837
0.678992
0.226003
0.048504
0.233072
0.878134
0.05419
0.019937
0.000052
0.154905
0.176751
0.007336
3
train
H0
H16
500
500
20
17.4
18.2
1.644248
-1.684361
-1.22637
-1.226951
2.886891
3.943579
3.117012
1.644248
1.684361
0.087837
1.50541
2.34891
2.837797
0.156117
0.151226
1.706921
3
train
H1
H16
500
500
20
21.6
19.2
-0.377245
0.508065
-0.576583
-0.579304
6.492169
7.609218
5.628253
-0.579304
0.576583
0.054818
0.335593
0.031061
0.258086
2.935044
2.859245
-0.516752
3
train
H0
H16
1,000
1,000
20
19.1
19.4
0.472842
-0.452738
-0.540554
-0.540296
0.293163
0.625519
0.294252
0.472842
0.540554
0.6462
0.29192
0.274671
0.20495
0.221502
0.218536
0.459047
3
train
H1
H16
1,000
1,000
20
19.9
19.5
-0.557705
0.64977
-0.246425
-0.24635
3.586339
3.354885
3.714236
-0.24635
0.64977
0.156122
0.060689
0.096678
0.422197
1.446894
1.441373
-0.65881
3
train
H0
H16
20
20
30
40
30
0.542689
-0.565257
-0.422777
-0.430885
0.409989
0.538878
0.388691
-0.430885
0.565257
0.547664
0.185662
0.273033
0.318891
0.003505
0.00143
0.601264
3
train
H1
H16
20
20
30
25
40
0.666372
-0.589046
-0.855954
-0.833514
0.872617
0.90769
0.861874
-0.833514
0.855954
0.544733
0.694746
0.468782
0.34416
0.653821
0.581444
0.605671
3
train
H0
H16
30
30
30
20
30
1.487296
-1.448132
-1.477543
-1.481042
2.30754
2.587576
2.281015
1.487296
1.477543
0.134055
2.193484
2.314816
2.108414
1.084783
1.159226
1.498303
3
train
H1
H16
30
30
30
40
26.666667
-1.106863
1.302888
0.715179
0.712242
2.892651
7.991505
2.367597
-1.106863
1.302888
0.046188
0.507289
1.478077
1.693794
0.152987
0.021085
-1.340874
3
train
H0
H16
50
50
30
24
30
1.499745
-1.615567
-0.850427
-0.851537
4.148938
5.183826
4.569411
1.499745
1.615567
0.096328
0.725116
1.715664
2.635292
0.075621
0.065593
1.662921
3
train
H1
H16
50
50
30
22
32
-0.718538
0.790702
0.254933
0.254969
2.335647
3.595404
2.045838
0.254969
0.790702
0.308598
0.065009
0.411989
0.624663
0.286169
0.207508
-0.799433
3
train
H0
H16
75
75
30
30.666667
36
1.128744
-1.125392
-1.088505
-1.087923
1.318449
1.731987
1.277946
1.128744
1.125392
0.251153
1.183575
1.354024
1.266732
0.534685
0.570873
1.147555
3
train
H1
H16
75
75
30
37.333333
25.333333
-0.323963
0.123924
0.923457
0.925078
3.312468
3.769093
3.438311
0.925078
0.923457
0.179217
0.855768
0.197999
0.015339
2.789447
2.775848
-0.128892
3
train
H0
H16
100
100
30
23
39
1.905715
-1.806681
-2.044064
-2.049131
4.201915
5.829827
4.201369
-2.049131
2.044064
0.061738
4.198936
3.969004
3.265857
2.95654
3.139657
1.868169
3
train
H1
H16
100
100
30
25
32
0.905016
-0.846494
-1.026609
-1.021995
1.08986
1.380124
1.062603
-1.021995
1.026609
0.385617
1.044473
0.790386
0.716481
0.777097
0.752948
0.867592
3
train
H0
H16
150
150
30
37.333333
26
-0.234849
0.02993
0.835094
0.831353
2.423022
4.838988
2.88419
0.831353
0.835094
0.183974
0.691147
0.139188
0.000895
2.344519
2.485682
-0.031994
3
train
H1
H16
150
150
30
24
28
-1.045244
1.125888
0.587463
0.586852
1.805907
3.39142
2.192249
0.586852
1.125888
0.249589
0.344395
0.774995
1.268095
0.040134
0.042846
-1.151349
3
train
H0
H16
200
200
30
28.5
29
0.160728
-0.170403
-0.12657
-0.126658
0.076873
0.774097
0.030276
-0.126658
0.170403
0.855652
0.016042
0.05133
0.02903
0.003543
0.002034
0.174236
3
train
H1
H16
200
200
30
31.5
26
-1.161925
1.173209
1.007589
1.006125
1.248733
3.271917
1.404019
-1.161925
1.173209
0.230861
1.012287
1.156473
1.377288
0.316378
0.276907
-1.198145
3
train
H0
H16
300
300
30
27.333333
31.333333
1.016212
-0.919293
-1.277582
-1.275759
1.756417
2.938281
1.851057
-1.275759
1.277582
0.346469
1.627561
1.251259
0.844924
1.677784
1.818926
0.94146
3
train
H1
H16
300
300
30
26
29.666667
-0.361456
0.486233
-0.240985
-0.240851
1.947387
5.944164
2.726756
-0.240851
0.486233
0.114359
0.058009
0.009349
0.236432
1.113825
1.133001
-0.493485
3
train
H0
H16
500
500
30
33.4
28.6
-0.193945
0.027215
0.744201
0.743125
2.568483
2.595354
2.561237
-0.193945
0.744201
0.277865
0.552235
0.088246
0.00074
1.96876
2.007651
-0.028876
3
train
H1
H16
500
500
30
27.8
31.8
1.515926
-1.344709
-2.039924
-2.042929
5.02153
9.178543
5.457228
-2.042929
2.039924
0.027009
4.173557
2.995068
1.809662
5.352026
5.495328
1.373242
3
train
H0
H16
1,000
1,000
30
30.2
27.6
-1.015337
1.013965
0.906667
0.907012
1.056876
1.146185
1.042134
-1.015337
1.013965
0.299945
0.822671
1.000837
1.02798
0.284046
0.294604
-1.036552
3
train
H1
H16
1,000
1,000
30
26.9
28.8
-0.438432
0.693631
-0.745434
-0.745289
9.799295
9.348158
9.968133
-0.745289
0.745434
0.006846
0.555456
0.021823
0.481128
5.187328
5.098636
-0.705701
3
train
H0
H16
20
20
40
60
45
0.021771
-0.055944
0.041018
0.040997
0.072121
0.086519
0.070743
0.021771
0.055944
0.962327
0.001681
0.00003
0.001403
0.156377
0.161944
0.047233
3
train
H1
H16
20
20
40
55
40
-1.729344
1.67958
1.665969
1.70359
3.033317
4.877319
3.061452
-1.729344
1.67958
0.075425
2.902217
2.866942
2.862893
1.823817
1.788426
-1.777869
3
train
H0
H16
30
30
40
53.333333
36.666667
0.191075
-0.423166
0.188124
0.186694
1.532768
1.709079
1.572597
0.186694
0.423166
0.455528
0.034855
0.042548
0.180112
0.884894
0.844646
0.426201
3
train
H1
H16
30
30
40
43.333333
40
-0.727463
0.659551
0.922044
0.941268
1.462132
2.240825
1.509219
0.941268
0.922044
0.470194
0.885986
0.659032
0.435348
1.922985
1.965316
-0.672238
3
train
H0
H16
50
50
40
36
38
1.491266
-1.481303
-1.32362
-1.336777
2.415693
3.184345
2.317772
-1.336777
1.481303
0.126367
1.786972
2.220781
2.204345
0.472648
0.544359
1.528585
3
train
H1
H16
50
50
40
40
40
0.392442
-0.294248
-0.566899
-0.567694
0.548128
1.172049
0.597497
-0.567694
0.566899
0.741746
0.322276
0.182777
0.086419
0.402931
0.435235
0.310468
3
train
H0
H16
75
75
40
41.333333
37.333333
0.867609
-1.270425
-0.123853
-0.123495
4.324366
13.629103
5.708502
0.867609
1.270425
0.003456
0.015251
0.530466
1.622946
1.228738
1.557708
1.294443
3
train
H1
H16
75
75
40
44
44
-0.413838
0.583139
0.043294
0.043547
2.070773
3.59015
1.856016
0.043547
0.583139
0.309257
0.001896
0.18595
0.340095
0.464862
0.366021
-0.59602
3
train
H0
H16
100
100
40
40
41
1.197447
-1.233352
-0.928953
-0.9308
2.042563
2.49736
1.901634
1.197447
1.233352
0.203572
0.866388
1.439128
1.523762
0.046944
0.062563
1.27144
3
train
H1
H16
100
100
40
37
38
0.727223
-0.719661
-0.709611
-0.70849
0.519611
0.903258
0.53201
-0.70849
0.719661
0.456535
0.501958
0.495065
0.51787
0.185159
0.17382
0.744565
3
train
H0
H16
150
150
40
30.666667
38.666667
-0.559475
0.535758
0.581272
0.58477
0.343163
0.608619
0.342537
0.58477
0.581272
0.577945
0.341956
0.282742
0.287621
0.281787
0.276036
-0.556389
3
train
H1
H16
150
150
40
30
36
-0.294938
0.497899
-0.466653
-0.466846
5.107958
6.314345
5.614428
-0.466846
0.497899
0.060373
0.217945
0.00538
0.24795
2.688713
2.755689
-0.496872
3
train
H0
H16
200
200
40
41.5
40
0.619521
-0.664481
-0.505727
-0.506902
0.464189
0.541054
0.473413
-0.506902
0.664481
0.497281
0.25695
0.3585
0.441667
0.020847
0.017476
0.678774
3
train
H1
H16
200
200
40
38.5
45.5
0.817461
-0.535086
-1.376407
-1.375718
4.832089
4.975877
4.719928
-1.375718
1.376407
0.094424
1.892599
0.67354
0.286136
4.203119
4.294537
0.554244
3
train
H0
H16
300
300
40
40
45.333333
-0.198901
0.392928
-0.165535
-0.16546
1.65124
1.712068
1.643884
-0.16546
0.392928
0.439577
0.027377
0.037822
0.154434
0.654276
0.654174
-0.4028
3
train
H1
H16
300
300
40
44.666667
41.666667
-0.97565
1.079448
0.7525
0.751591
1.464058
1.944726
1.346722
-0.97565
1.079448
0.267927
0.564889
1.0689
1.16517
0.021291
0.02586
-1.107848
3
train
H0
H16
500
500
40
39.8
41.6
0.552447
-0.427728
-0.832709
-0.831925
1.284635
1.366686
1.332884
-0.831925
0.832709
0.513533
0.6921
0.373302
0.182811
1.195999
1.205027
0.442733
3
train
H1
H16
500
500
40
40.6
37.2
-1.903721
2.209003
1.082766
1.08589
8.449362
10.008779
9.030909
-1.903721
2.209003
0.010939
1.179157
3.156725
4.888826
0.453926
0.449711
-2.276205
3
train
H0
H16
1,000
1,000
40
43.5
39.7
-1.862421
1.654755
2.128691
2.129325
4.798707
4.966126
4.829711
2.129325
2.128691
0.087624
4.534025
3.551497
2.738737
4.374919
4.430315
-1.708065
3
train
H1
H16
1,000
1,000
40
40.4
39.5
-1.411136
1.737884
0.592656
0.592447
6.878417
15.952203
8.207096
-1.411136
1.737884
0.00116
0.350993
1.419297
3.020747
1.114988
1.149161
-1.78643