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
int64
20
1k
perc
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0
50
real_perc1
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logrank_test
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CoxMantel_test
float64
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BN_GPH_test
float64
0
109
BN_MCE_test
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143
BN_SCE_test
float64
0
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Q_test
float64
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MAX_Value_test
float64
0
10.2
MIN3_test
float64
0
1
WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
float64
0
99.4
WLg_Breslow_test
float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
float64
0
71.6
WKM_test
float64
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10.7
2
train
H0
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train
H1
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train
H0
H17
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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
H1
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train
H0
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train
H1
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train
H0
H17
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train
H1
H17
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train
H0
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train
H1
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train
H0
H17
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train
H1
H17
300
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train
H0
H17
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train
H1
H17
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train
H0
H17
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train
H1
H17
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train
H0
H17
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20
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train
H1
H17
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train
H0
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train
H1
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train
H0
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50
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train
H1
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train
H0
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train
H1
H17
75
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train
H0
H17
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train
H1
H17
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16
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train
H0
H17
150
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train
H1
H17
150
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20
22
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train
H0
H17
200
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train
H1
H17
200
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20
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15
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train
H0
H17
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train
H1
H17
300
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train
H0
H17
500
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train
H1
H17
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train
H0
H17
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train
H1
H17
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20
18.9
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train
H0
H17
20
20
30
25
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train
H1
H17
20
20
30
35
25
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train
H0
H17
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train
H1
H17
30
30
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train
H0
H17
50
50
30
36
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train
H1
H17
50
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30
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train
H0
H17
75
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train
H1
H17
75
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train
H0
H17
100
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train
H1
H17
100
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30
37
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train
H0
H17
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train
H1
H17
150
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train
H0
H17
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train
H1
H17
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train
H0
H17
300
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train
H1
H17
300
300
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28.333333
30.333333
-0.80964
1.054046
-0.339282
-0.339128
9.939299
9.31506
10.069338
-0.339128
1.054046
0.006508
0.115008
0.282771
1.112233
4.050462
3.803358
-1.07205
2
train
H0
H17
500
500
30
30.6
29.2
-0.492898
0.547304
0.406694
0.406416
0.186498
1.933776
0.263117
-0.492898
0.547304
0.574726
0.165174
0.187849
0.299504
0.038818
0.036693
-0.561105
2
train
H1
H17
500
500
30
34
27.4
-2.543481
2.656262
2.012701
2.011952
6.891229
11.138756
7.609379
-2.543481
2.656262
0.006688
4.04795
5.639171
7.062159
0.433733
0.429883
-2.711989
2
train
H0
H17
1,000
1,000
30
31.5
30.6
-0.059376
0.040127
0.167416
0.167301
0.135662
0.564399
0.096742
-0.059376
0.167416
0.904532
0.02799
0.00568
0.00161
0.091604
0.084199
-0.04122
2
train
H1
H17
1,000
1,000
30
29.3
31.9
-1.56528
2.015318
-0.224934
-0.224992
24.26885
24.694018
25.070384
-1.56528
2.015318
0.000004
0.050622
1.381478
4.064759
8.801939
8.754775
-2.059622
2
train
H0
H17
20
20
40
55
45
-0.200997
0.128979
0.294274
0.291269
0.236093
0.431708
0.22579
0.291269
0.294274
0.889593
0.084838
0.037203
0.016537
0.424132
0.399277
-0.138819
2
train
H1
H17
20
20
40
40
40
-0.190081
0.160593
0.20095
0.198221
0.039993
0.24319
0.039312
-0.190081
0.20095
0.866011
0.039292
0.031602
0.025621
0.101508
0.096001
-0.168727
2
train
H0
H17
30
30
40
26.666667
40
1.17159
-1.17356
-1.094246
-1.079497
1.380001
1.44255
1.365121
-1.079497
1.17356
0.215825
1.165313
1.352593
1.373483
0.327343
0.371127
1.237707
2
train
H1
H17
30
30
40
26.666667
43.333333
0.274383
-0.008206
-0.99568
-0.983296
5.486801
5.543693
5.551486
-0.983296
0.99568
0.062303
0.96687
0.165408
0.000067
3.719597
3.714966
0.05497
2
train
H0
H17
50
50
40
32
34
-0.465618
0.522171
0.322669
0.319573
0.289643
0.5614
0.33237
-0.465618
0.522171
0.588821
0.102127
0.198675
0.27234
0.009119
0.007495
-0.540545
2
train
H1
H17
50
50
40
44
36
-1.585644
1.33705
1.995596
2.049363
5.940082
5.986596
5.903421
-1.585644
1.995596
0.05225
4.19989
2.728669
1.796825
6.493004
6.475307
-1.405421
2
train
H0
H17
75
75
40
38.666667
41.333333
1.180074
-1.238858
-1.076203
-1.077887
1.344179
1.842764
1.411006
-1.077887
1.238858
0.196215
1.16184
1.32485
1.53528
0.336253
0.352176
1.292409
2
train
H1
H17
75
75
40
40
37.333333
-0.958671
0.837936
1.171268
1.192296
1.819572
2.609132
1.764074
1.192296
1.171268
0.380406
1.421571
0.959782
0.701221
2.01802
1.924353
-0.877149
2
train
H0
H17
100
100
40
42
26
-2.761959
2.787712
2.517632
2.518541
7.627012
7.624162
7.726814
-2.761959
2.787712
0.004063
6.343049
7.445259
7.8052
2.067615
2.287977
-2.87319
2
train
H1
H17
100
100
40
41
36
-2.223632
2.61857
1.16893
1.177782
13.555971
13.850206
13.597512
-2.223632
2.61857
0.001115
1.38717
4.637663
6.918574
1.668406
1.528109
-2.714968
2
train
H0
H17
150
150
40
41.333333
40.666667
-0.116207
0.20329
-0.092405
-0.092249
0.450332
0.489174
0.473443
-0.116207
0.20329
0.789211
0.00851
0.00517
0.041297
0.14725
0.14603
-0.210549
2
train
H1
H17
150
150
40
45.333333
36
-3.1265
3.099124
2.853794
2.896412
10.100615
10.764004
9.901191
-3.1265
3.099124
0.001284
8.389202
9.789591
9.6365
2.6162
2.939402
-3.2195
2
train
H0
H17
200
200
40
41
40.5
-0.215965
0.164853
0.369119
0.370538
0.483615
3.797213
0.357695
0.370538
0.369119
0.28421
0.137298
0.030142
0.027157
0.372566
0.336893
-0.167736
2
train
H1
H17
200
200
40
43
40.5
-2.481279
2.867914
1.615506
1.622116
12.373633
13.876132
12.830454
-2.481279
2.867914
0.001636
2.63126
5.876838
8.274458
0.396036
0.382233
-2.951538
2
train
H0
H17
300
300
40
41
45
1.958477
-1.954176
-1.724527
-1.724408
4.133323
4.437307
4.027492
1.958477
1.954176
0.042257
2.973581
3.751846
3.8205
0.728151
0.802294
2.030983
2
train
H1
H17
300
300
40
38.666667
40
-1.011675
1.228584
0.395469
0.395488
4.655219
4.61266
4.635245
-1.011675
1.228584
0.098508
0.156411
0.868596
1.509718
0.673096
0.655937
-1.262644
2
train
H0
H17
500
500
40
39.8
38.8
-0.656387
0.601877
0.875052
0.876086
1.249944
4.362055
1.058237
0.876086
0.875052
0.22493
0.767527
0.401982
0.36224
1.112926
1.060437
-0.625198
2
train
H1
H17
500
500
40
41
40.4
-3.179183
3.505978
2.142318
2.150164
18.67644
18.575324
18.490337
-3.179183
3.505978
0.000097
4.623206
9.565252
12.331462
0.18834
0.175508
-3.619606
2
train
H0
H17
1,000
1,000
40
39.3
41.7
0.397487
-0.341658
-0.518017
-0.517742
0.370852
0.492029
0.352956
0.397487
0.518017
0.723156
0.268056
0.164718
0.116712
0.323732
0.32124
0.354243
2
train
H1
H17
1,000
1,000
40
40.5
41.6
-2.600949
2.994563
1.53328
1.535255
15.44699
16.721346
16.344392
-2.600949
2.994563
0.000282
2.357006
5.919598
8.981763
0.713903
0.69842
-3.095411
2
train
H0
H17
20
20
50
45
45
0.316274
-0.423372
-0.148747
-0.146128
0.333679
0.337891
0.326769
0.316274
0.423372
0.651312
0.021353
0.094304
0.177636
0.103699
0.096673
0.451941
2
train
H1
H17
20
20
50
45
60
-0.47148
0.40624
0.447121
0.461655
0.223536
3.299535
0.232308
-0.47148
0.447121
0.347707
0.213125
0.146428
0.166186
0.284834
0.200703
-0.452221
2
train
H0
H17
30
30
50
36.666667
50
0.683163
-0.807125
-0.438849
-0.442057
1.036687
1.939781
1.13711
-0.442057
0.807125
0.399129
0.195414
0.407599
0.650777
0.069471
0.071978
0.843179
2
train
H1
H17
30
30
50
46.666667
60
0.352703
-0.393086
-0.394972
-0.390302
0.161997
0.538064
0.168155
0.352703
0.394972
0.668299
0.152336
0.203447
0.154277
0.063656
0.093705
0.428483
2
train
H0
H17
50
50
50
52
60
0.941278
-0.971527
-0.837194
-0.843847
1.152555
1.176369
1.150618
-0.843847
0.971527
0.317898
0.712077
0.845856
0.943842
0.076989
0.077503
0.998787
2
train
H1
H17
50
50
50
60
46
-1.937654
2.105472
1.69408
1.698228
4.878908
8.033543
4.72789
-1.937654
2.105472
0.029792
2.883977
4.104476
4.456987
0.365335
0.472531
-2.172843
2
train
H0
H17
75
75
50
42.666667
61.333333
1.583929
-1.409814
-1.714649
-1.707586
3.004662
3.09398
3.011316
-1.707586
1.714649
0.141408
2.915849
2.458589
1.984475
2.2961
2.357786
1.470568
2
train
H1
H17
75
75
50
50.666667
49.333333
-1.848228
2.195261
1.171146
1.17844
9.418446
12.015355
9.846559
-1.848228
2.195261
0.007275
1.388722
3.289621
4.883106
0.738722
0.762572
-2.248636
2
train
H0
H17
100
100
50
53
56
0.539603
-0.471814
-0.548345
-0.546447
0.298976
0.370797
0.299655
-0.546447
0.548345
0.617943
0.298604
0.245986
0.222362
0.110868
0.114906
0.498768
2
train
H1
H17
100
100
50
54
53
-1.405402
1.644219
1.002985
1.013213
4.829915
4.812106
4.811267
1.013213
1.644219
0.08662
1.0266
2.021779
2.709878
0.077884
0.066331
-1.713502
2
train
H0
H17
150
150
50
48.666667
46.666667
0.918126
-1.131702
-0.488173
-0.487719
3.003927
3.026052
2.971264
0.918126
1.131702
0.226359
0.23787
0.850565
1.283135
0.264936
0.254091
1.180629
2
train
H1
H17
150
150
50
50
46.666667
-0.564973
0.581141
0.38539
0.384486
0.751761
1.546266
0.678864
0.384486
0.581141
0.544689
0.147829
0.291552
0.337469
0.000809
0
-0.605737
2
train
H0
H17
200
200
50
50
44
-2.034477
1.83871
2.146074
2.15723
4.654299
5.097005
4.660564
-2.034477
2.146074
0.052882
4.653643
4.139426
3.391123
3.445815
3.544516
-1.93588
2
train
H1
H17
200
200
50
51.5
60.5
-0.108662
0.15853
0.021434
0.021658
0.22379
2.539034
0.161545
0.021658
0.15853
0.468278
0.000469
0.030613
0.025196
0.02691
0.017558
-0.1621
2
train
H0
H17
300
300
50
48.333333
49.333333
0.234792
0.034067
-0.588779
-0.58914
1.580223
2.319774
1.715713
-0.58914
0.588779
0.42407
0.347086
0.061188
0.00116
1.192996
1.234603
-0.034908
2
train
H1
H17
300
300
50
48.666667
50.666667
-1.794388
2.070271
1.255911
1.264413
6.973513
6.925176
6.930866
1.264413
2.070271
0.031259
1.59874
3.279208
4.297977
0.08483
0.06935
-2.151418
2
train
H0
H17
500
500
50
51.8
49.4
-0.8338
0.771835
0.965629
0.964917
1.104932
1.727216
1.066941
0.964917
0.965629
0.419723
0.931065
0.697174
0.595639
1.093116
1.067617
-0.806901
2
train
H1
H17
500
500
50
51
47
-3.804509
4.071945
3.160846
3.186568
18.2988
18.359643
18.405797
-3.804509
4.071945
0.000024
10.154214
14.494025
16.642067
0.777743
0.812499
-4.222808
2
train
H0
H17
1,000
1,000
50
51
52
0.003664
0.214306
-0.395321
-0.395201
2.200418
2.208764
2.140997
-0.395201
0.395321
0.342838
0.156183
0.000056
0.045924
1.21079
1.175355
-0.223916
2
train
H1
H17
1,000
1,000
50
49.9
48
-3.713293
3.906253
3.252508
3.271306
14.463821
24.111752
15.342189
3.271306
3.906253
0.000024
10.701441
13.003417
15.290081
2.079591
2.070391
-4.058018