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
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n1
int64
20
1k
n2
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MIN3_test
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0
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84.2
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99.4
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WLg_Prentice_test
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7,644
train
H1
H16
300
300
50
48.666667
49.333333
0.010729
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1.641722
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7,644
train
H0
H16
500
500
50
50.4
51.8
0.902659
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2.402947
3.437063
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7,644
train
H1
H16
500
500
50
52.2
49.2
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2.017585
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1.7404
3.566092
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1.7404
2.017585
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3.028992
3.505171
4.072719
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7,644
train
H0
H16
1,000
1,000
50
49.4
50.6
0.74285
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7,644
train
H1
H16
1,000
1,000
50
50.5
51.9
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0.853499
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4.672337
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0.853499
0.079686
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1.883278
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7,644
train
H0
H17
20
20
0
0
0
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1.572162
3.326936
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7,644
train
H1
H17
20
20
0
0
0
0.0541
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8.652341
10.057394
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1.081157
0.017795
1.285863
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5.685866
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7,644
train
H0
H17
30
30
0
0
0
0.044353
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0.510185
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2.092284
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0.510185
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1.135212
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7,644
train
H1
H17
30
30
0
0
0
0.458317
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0.547162
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0.643949
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7,644
train
H0
H17
50
50
0
0
0
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0.37963
0.375534
0.44353
0.682983
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0.032533
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7,644
train
H1
H17
50
50
0
0
0
0.751426
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4.547266
5.111529
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1.602317
0.079817
2.668441
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4.594794
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7,644
train
H0
H17
75
75
0
0
0
0.652139
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1.790979
1.951321
1.633003
0.652139
1.090398
0.441975
1.198233
0.644527
0.424398
1.519381
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7,644
train
H1
H17
75
75
0
0
0
-1.892519
1.892519
1.026696
1.023171
3.567323
10.402948
5.300849
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1.892519
0.015434
1.046878
2.184524
3.606033
0.047267
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7,644
train
H0
H17
100
100
0
0
0
-2.431172
2.431172
1.360976
1.370343
9.437662
9.937865
8.40713
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2.431172
0.014799
1.877839
4.716014
5.9602
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7,644
train
H1
H17
100
100
0
0
0
-0.078188
0.078188
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4.747473
12.930199
6.851896
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1.142871
0.00479
1.344389
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4.937875
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7,644
train
H0
H17
150
150
0
0
0
0.757405
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0.024885
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2.625616
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0.024831
0.757405
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0.000617
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7,644
train
H1
H17
150
150
0
0
0
-1.007655
1.007655
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4.152314
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1.007655
0.07344
0.017078
0.296285
1.016167
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7,644
train
H0
H17
200
200
0
0
0
-0.173854
0.173854
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2.420165
3.00303
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0.717436
0.208058
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0.051205
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1.995089
2.001541
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7,644
train
H1
H17
200
200
0
0
0
-1.385642
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0.298838
0.298933
3.253949
11.242757
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1.385642
0.010483
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0.792904
1.924104
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1.021857
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7,644
train
H0
H17
300
300
0
0
0
0.398476
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0.767257
1.055104
0.843183
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0.754804
0.656002
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0.349112
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7,644
train
H1
H17
300
300
0
0
0
-3.057811
3.057811
0.675902
0.682816
25.166685
26.763614
26.509766
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3.057811
0.000002
0.466238
4.900465
9.398879
4.835065
4.788836
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7,644
train
H0
H17
500
500
0
0
0
0.239783
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0.513552
0.513236
1.868167
2.295729
2.16589
0.239783
0.513552
0.338597
0.263412
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0.057486
1.287666
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7,644
train
H1
H17
500
500
0
0
0
0.074234
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23.086803
24.087539
26.8754
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2.514297
0.000001
6.507354
1.346929
0.005519
20.418183
20.357585
0.074271
7,644
train
H0
H17
1,000
1,000
0
0
0
0.368693
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0.264201
0.175774
0.376572
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0.368693
0.712288
0.005593
0.056006
0.13591
0.063938
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0.368786
7,644
train
H1
H17
1,000
1,000
0
0
0
-3.430993
3.430993
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47.204366
46.784128
53.707176
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3.430993
0
0.030692
4.133282
11.806224
16.284791
16.15786
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7,644
train
H0
H17
20
20
10
20
15
0.132792
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1.597982
1.886418
1.775351
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0.624343
0.411611
0.387067
0.090589
0.001797
1.024606
0.98222
0.058603
7,644
train
H1
H17
20
20
10
0
10
-0.042591
0.069874
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4.787075
4.755837
4.687267
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0.853675
0.095978
0.737057
0.103903
0.004862
2.896777
2.696462
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7,644
train
H0
H17
30
30
10
20
3.333333
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1.428153
1.319182
1.313074
2.082354
2.15252
2.060639
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1.428153
0.143124
1.724164
2.047988
2.047412
0.732712
0.770459
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7,644
train
H1
H17
30
30
10
10
13.333333
-0.592958
0.57986
0.65448
0.65074
0.428905
0.885592
0.423546
0.65074
0.65448
0.555943
0.423462
0.403101
0.334744
0.395303
0.473954
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7,644
train
H0
H17
50
50
10
10
2
-0.866401
0.834983
1.085409
1.081408
1.372123
2.889868
1.217854
1.081408
1.085409
0.398452
1.169444
0.766259
0.69654
1.207141
1.074194
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7,644
train
H1
H17
50
50
10
4
4
-1.571761
1.589775
0.317755
0.316069
6.659475
7.902838
7.817056
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1.589775
0.02007
0.099899
1.161575
2.544969
1.593737
1.571212
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7,644
train
H0
H17
75
75
10
12
10.666667
-0.094684
0.10965
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1.736842
4.116821
1.206016
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0.400735
0.249123
0.159384
0.00004
0.011991
0.696775
0.554516
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7,644
train
H1
H17
75
75
10
8
6.666667
-0.975067
1.030291
0.040247
0.04024
2.827513
8.654529
4.338731
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1.030291
0.034255
0.001619
0.312369
1.063775
1.126663
1.357763
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7,644
train
H0
H17
100
100
10
10
9
-0.278425
0.238948
0.933108
0.934713
2.871968
3.688935
2.448222
-0.278425
0.933108
0.294019
0.873688
0.217067
0.057001
2.220882
2.059547
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7,644
train
H1
H17
100
100
10
12
9
-1.149232
1.216815
0.184282
0.18495
4.695889
4.325579
5.193542
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1.216815
0.074514
0.034206
0.618143
1.482365
1.035729
0.96976
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7,644
train
H0
H17
150
150
10
11.333333
6.666667
0.236239
-0.249585
0.207664
0.206716
1.167132
2.963426
0.86432
0.206716
0.249585
0.397299
0.042731
0.012108
0.062219
0.460209
0.37281
0.249043
7,644
train
H1
H17
150
150
10
17.333333
8.666667
-2.27235
2.224159
2.3219
2.328615
5.851187
6.582067
5.598776
-2.27235
2.3219
0.024236
5.42245
5.867004
4.956223
2.947818
3.097075
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7,644
train
H0
H17
200
200
10
16
8
-0.803523
0.757964
1.359508
1.357071
2.687203
2.727449
2.737839
1.357071
1.359508
0.254382
1.841642
1.047995
0.574114
2.850904
2.85389
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7,644
train
H1
H17
200
200
10
9.5
9
-0.069702
0.120816
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3.911532
3.801414
3.781946
-0.809105
0.806698
0.150925
0.654652
0.048545
0.014589
2.492607
2.375902
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7,644
train
H0
H17
300
300
10
8.666667
9.333333
2.241607
-2.252697
-1.654703
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6.471624
8.94807
5.591509
2.241607
2.252697
0.023077
2.762209
4.687635
5.085242
0.368155
0.442425
2.272154
7,644
train
H1
H17
300
300
10
9.666667
10
-1.074125
1.118009
0.216451
0.216143
3.225662
3.912551
3.896031
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1.118009
0.142557
0.046718
0.558651
1.250396
0.669892
0.661678
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7,644
train
H0
H17
500
500
10
9.4
11.2
1.896233
-1.89527
-1.991681
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3.974975
7.538925
4.043182
1.896233
1.991681
0.056087
3.974971
3.670119
3.595762
2.462521
2.366961
1.910355
7,644
train
H1
H17
500
500
10
12.4
8.6
-2.194152
2.269599
0.657458
0.659638
13.453832
12.72713
13.281293
-2.194152
2.269599
0.001306
0.435122
2.937173
5.156036
1.810393
1.738013
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7,644
train
H0
H17
1,000
1,000
10
10.3
10.6
0.302967
-0.335316
0.151042
0.150918
1.129122
1.293923
0.937708
0.302967
0.335316
0.625719
0.022776
0.046137
0.112439
0.385013
0.365657
0.338144
7,644
train
H1
H17
1,000
1,000
10
10
9.5
-3.644725
3.756337
1.249025
1.251276
29.522003
28.940307
32.843611
-3.644725
3.756337
0
1.565693
7.920516
14.144381
3.796293
3.710128
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