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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1k
perc
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0
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logrank_test
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0
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BN_MCE_test
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143
BN_SCE_test
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Q_test
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MAX_Value_test
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0
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MIN3_test
float64
0
1
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0
84.2
WLg_TaroneWare_test
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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
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3
train
H0
H18
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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
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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
H18
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train
H1
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train
H0
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train
H1
H18
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train
H0
H18
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20
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train
H1
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20
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35
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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
H18
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train
H0
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train
H1
H18
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train
H0
H18
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train
H1
H18
150
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train
H0
H18
200
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41
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train
H1
H18
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train
H0
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train
H1
H18
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train
H0
H18
500
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train
H1
H18
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train
H0
H18
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train
H1
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train
H0
H18
20
20
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train
H1
H18
20
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50
50
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train
H0
H18
30
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train
H1
H18
30
30
50
43.333333
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0.071648
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train
H0
H18
50
50
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46
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train
H1
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train
H0
H18
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train
H1
H18
75
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train
H0
H18
100
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train
H1
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train
H0
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train
H1
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train
H0
H18
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train
H1
H18
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50
48
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train
H0
H18
300
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3
train
H1
H18
300
300
50
45.333333
52.333333
3.307438
-3.671761
-2.670221
-2.676206
13.295252
20.723536
14.406779
3.307438
3.671761
0.00012
7.162079
10.83076
13.531465
0.66842
0.630908
3.809549
3
train
H0
H18
500
500
50
51.4
48
-0.8296
0.870011
0.77085
0.770597
0.674702
1.397446
0.702877
-0.8296
0.870011
0.366685
0.59382
0.675487
0.756703
0.245217
0.231197
-0.902699
3
train
H1
H18
500
500
50
52.8
47.8
1.672266
-2.012157
-1.062131
-1.068481
7.42552
7.629266
7.483524
-1.068481
2.012157
0.023712
1.141651
2.941468
4.061788
0.182252
0.188244
2.100242
3
train
H0
H18
1,000
1,000
50
45
50.5
2.078263
-1.922085
-2.120742
-2.119531
4.520363
5.000319
4.508613
-2.119531
2.120742
0.046791
4.492412
4.265724
3.694172
2.852581
2.993103
1.98819
3
train
H1
H18
1,000
1,000
50
49.6
52.3
4.287453
-4.355614
-3.980514
-4.017382
18.482806
21.168917
18.811626
-4.017382
4.355614
0.000006
16.139359
18.2034
19.023807
6.069031
6.029471
4.530625
3
train
H0
H19
20
20
0
0
0
-1.109054
1.109054
0.411949
0.403058
2.592732
2.520878
2.718186
-1.109054
1.109054
0.256894
0.162456
0.71074
1.231276
0.250331
0.18139
-1.123182
3
train
H1
H19
20
20
0
0
0
-0.865603
0.865603
-0.047336
-0.047138
3.469603
4.487264
3.959665
-0.865603
0.865603
0.138092
0.002222
0.240543
0.752803
1.299444
1.299674
-0.87663
3
train
H0
H19
30
30
0
0
0
-0.192198
0.192198
0.195845
0.192568
0.126699
1.710844
0.039366
-0.192198
0.195845
0.634526
0.037083
0.080122
0.036855
0.024217
0.074239
-0.193819
3
train
H1
H19
30
30
0
0
0
-1.064479
1.064479
0.417665
0.411459
2.344318
2.359057
2.317221
-1.064479
1.064479
0.283064
0.169298
0.716722
1.133424
0.189627
0.132371
-1.073462
3
train
H0
H19
50
50
0
0
0
1.08233
-1.08233
-0.237399
-0.239476
4.789849
8.485671
3.621629
1.08233
1.08233
0.036972
0.057349
0.722973
1.171558
0.466702
0.337597
1.087782
3
train
H1
H19
50
50
0
0
0
0.599762
-0.599762
-0.756404
-0.75437
0.693025
3.500109
0.588812
0.599762
0.756404
0.320748
0.569074
0.388912
0.358631
0.452356
0.358973
0.602784
3
train
H0
H19
75
75
0
0
0
1.099428
-1.099428
-0.827554
-0.821259
1.093418
1.517304
1.288008
1.099428
1.099428
0.273196
0.674466
0.964455
1.209267
0.097342
0.084644
1.095732
3
train
H1
H19
75
75
0
0
0
-1.708342
1.708342
1.13378
1.128728
3.628093
3.619971
3.473384
-1.708342
1.708342
0.088643
1.274027
2.430491
2.927894
0.031226
0.066106
-1.702599
3
train
H0
H19
100
100
0
0
0
1.143506
-1.143506
-1.259878
-1.258005
1.585879
2.042599
1.591405
-1.258005
1.259878
0.25164
1.582576
1.503355
1.308557
1.047069
0.997258
1.146376
3
train
H1
H19
100
100
0
0
0
-1.634627
1.634627
0.958938
0.956833
3.753938
3.8049
3.60665
-1.634627
1.634627
0.10127
0.91553
2.030446
2.676764
0.000837
0.002622
-1.638729
3
train
H0
H19
150
150
0
0
0
-1.162065
1.162065
0.941762
0.938324
1.593216
2.03002
1.37177
-1.162065
1.162065
0.244421
0.880451
1.337176
1.350603
0.210011
0.269177
-1.164006
3
train
H1
H19
150
150
0
0
0
-1.167389
1.167389
0.139202
0.139521
5.389627
6.051021
4.674134
-1.167389
1.167389
0.096611
0.019466
0.713928
1.362926
0.992965
0.878915
-1.16934
3
train
H0
H19
200
200
0
0
0
-0.288027
0.288027
0.31782
0.317168
0.267964
3.249587
0.101189
0.317168
0.31782
0.354721
0.100595
0.176495
0.082911
0.073521
0.112001
-0.288387
3
train
H1
H19
200
200
0
0
0
-1.64772
1.64772
1.306147
1.30345
2.308004
3.411974
2.786537
-1.64772
1.64772
0.098987
1.698982
2.241946
2.718241
0.357008
0.333926
-1.649784
3
train
H0
H19
300
300
0
0
0
0.526592
-0.526592
-0.178417
-0.178059
0.234731
2.946957
0.594948
-0.178059
0.526592
0.399876
0.031705
0.111368
0.277224
0.052936
0.075775
0.527031
3
train
H1
H19
300
300
0
0
0
-1.26561
1.26561
1.327861
1.326275
1.873629
1.92985
1.812123
-1.26561
1.327861
0.205275
1.759005
1.863808
1.602179
1.066596
1.059474
-1.266666
3
train
H0
H19
500
500
0
0
0
0.802122
-0.802122
0.271672
0.27166
3.557911
3.956703
4.456419
0.802122
0.802122
0.107721
0.073799
0.134588
0.643435
1.607661
1.573518
0.802523
3
train
H1
H19
500
500
0
0
0
-1.168913
1.168913
0.642932
0.6423
1.008162
5.55161
1.928156
0.6423
1.168913
0.135584
0.41255
0.773538
1.366556
0.003717
0.009661
-1.169498
3
train
H0
H19
1,000
1,000
0
0
0
0.682481
-0.682481
-0.937361
-0.93718
0.951431
1.614576
0.946987
-0.93718
0.937361
0.494827
0.878306
0.607354
0.465715
0.868961
0.916862
0.682652
3
train
H1
H19
1,000
1,000
0
0
0
-1.529911
1.529911
0.793852
0.793219
2.663082
2.334351
3.482878
-1.529911
1.529911
0.125944
0.629197
1.464187
2.341205
0.028539
0.025021
-1.530293
3
train
H0
H19
20
20
10
5
15
3.162735
-3.185692
-2.64491
-2.834934
10.76506
10.709884
10.836853
3.162735
3.185692
0.001195
8.036851
9.887268
10.727986
2.843934
3.039107
3.240033
3
train
H1
H19
20
20
10
0
10
1.004657
-1.005962
-1.638271
-1.670535
4.188518
4.282025
4.396358
-1.670535
1.638271
0.111005
2.790688
1.801242
1.014638
4.024172
4.047702
1.043543
3
train
H0
H19
30
30
10
16.666667
10
0.116129
-0.12566
-0.211885
-0.20864
0.092195
0.334132
0.072867
-0.20864
0.211885
0.896588
0.043531
0.023067
0.015697
0.03811
0.020098
0.129973
3
train
H1
H19
30
30
10
3.333333
10
-2.791283
2.855253
1.749099
1.796591
8.70173
18.668691
10.721299
-2.791283
2.855253
0.00032
3.22774
6.014278
8.61225
0.090753
0.179173
-2.945144
3
train
H0
H19
50
50
10
8
12
-0.562426
0.568632
0.496702
0.490048
0.24954
1.131825
0.316643
-0.562426
0.568632
0.560717
0.240147
0.241413
0.322904
0.116337
0.081937
-0.581777
3
train
H1
H19
50
50
10
10
6
-0.32097
0.331903
0.214908
0.212373
0.147052
0.223586
0.130112
-0.32097
0.331903
0.738139
0.045102
0.09098
0.109777
0.010647
0.020537
-0.334319
3
train
H0
H19
75
75
10
5.333333
6.666667
-0.890742
0.900444
0.53826
0.533174
0.958527
0.808622
1.070227
-0.890742
0.900444
0.365191
0.284275
0.568954
0.811173
0.000516
0.005248
-0.905518
3
train
H1
H19
75
75
10
14.666667
8
-0.372154
0.381507
0.776791
0.773979
1.618542
4.755471
1.110191
0.773979
0.776791
0.190604
0.599043
0.200026
0.145205
1.115662
0.95596
-0.389197
3
train
H0
H19
100
100
10
14
9
-0.029509
-0.022233
0.364525
0.362405
0.19389
3.945171
0.535194
0.362405
0.364525
0.267446
0.131337
0.061977
0.000438
0.392782
0.522952
0.020875
3
train
H1
H19
100
100
10
14
12
0.15159
-0.174989
0.01507
0.014984
0.264531
0.429461
0.141333
0.15159
0.174989
0.861315
0.000225
0.029715
0.030126
0.043602
0.051364
0.1747
3
train
H0
H19
150
150
10
8
10
1.025517
-1.049139
-0.535799
-0.532922
1.458907
1.489027
1.704578
1.025517
1.049139
0.287477
0.284006
0.724735
1.098487
0.023027
0.016527
1.063674
3
train
H1
H19
150
150
10
11.333333
14.666667
1.029339
-0.971213
-1.220463
-1.223494
1.52151
5.550127
1.521415
-1.223494
1.220463
0.135671
1.496937
1.460489
0.944111
1.255165
1.4102
0.989995
3
train
H0
H19
200
200
10
7.5
10.5
1.036744
-1.04654
-0.562993
-0.563271
2.125092
2.718596
1.668039
1.036744
1.04654
0.287042
0.317274
0.912455
1.093648
0.010439
0.003298
1.064633
3
train
H1
H19
200
200
10
12.5
9.5
-0.205515
0.162024
0.711517
0.709949
1.620833
1.938958
1.36647
0.709949
0.711517
0.504981
0.504028
0.096009
0.026242
1.180955
1.096163
-0.165029
3
train
H0
H19
300
300
10
11.666667
10
0.385219
-0.418965
0.28581
0.28619
2.06294
2.337095
2.024553
0.28619
0.418965
0.363391
0.081905
0.031585
0.174226
0.916377
0.905232
0.427561
3
train
H1
H19
300
300
10
9.666667
5.333333
-2.22983
2.26406
1.288692
1.288236
6.438
6.319587
7.17409
-2.22983
2.26406
0.022427
1.659552
3.610641
5.136419
0.022433
0.017627
-2.283055
3
train
H0
H19
500
500
10
10.8
10.4
0.974311
-1.005527
-0.343821
-0.343183
2.107364
2.110427
2.245048
0.974311
1.005527
0.308056
0.117774
0.602327
1.010519
0.197648
0.182796
1.019309
3
train
H1
H19
500
500
10
10.6
11.6
-2.647538
2.779056
0.571705
0.572953
17.800605
28.701209
22.586886
-2.647538
2.779056
0.000003
0.328275
3.492843
7.748505
4.367677
4.51976
-2.816552
3
train
H0
H19
1,000
1,000
10
10.4
10.2
-0.476713
0.477161
0.478715
0.478299
0.230557
0.258783
0.241662
-0.476713
0.478715
0.628255
0.22877
0.218271
0.227956
0.13178
0.131116
-0.484184
3
train
H1
H19
1,000
1,000
10
9.1
9.2
-3.958313
3.982138
3.078505
3.086208
15.453829
15.454606
16.480424
-3.958313
3.982138
0.000053
9.524679
13.674554
15.893964
1.504603
1.530556
-4.041892