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
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logrank_test
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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
-8.89
10.7
3
train
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train
H1
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train
H0
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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
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
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train
H1
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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
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
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train
H1
H02
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-3.497718
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-1.490573
15.975566
19.192074
17.666377
2.703609
3.497718
0.000086
2.221807
7.097146
12.348114
0.695243
0.671305
3.92664
3
train
H0
H02
500
500
50
53.2
48
0.019859
-0.22505
0.528692
0.528439
2.950943
3.544843
2.579521
0.528439
0.528692
0.275337
0.279247
0.000504
0.050659
1.773322
1.640561
0.245903
3
train
H1
H02
500
500
50
53.4
54.6
2.343911
-3.206549
-2.124612
-2.143453
4.779708
34.884888
5.56236
-2.143453
3.206549
0
4.59439
6.185153
10.307215
1.692203
1.569994
3.626948
3
train
H0
H02
1,000
1,000
50
52.1
48.4
-1.630882
1.23726
1.781143
1.782569
3.21291
5.391963
3.190944
-1.630882
1.781143
0.145245
3.177554
2.671763
1.530903
2.251142
2.352022
-1.355892
3
train
H1
H02
1,000
1,000
50
51.4
48.7
6.304761
-7.672259
-4.271951
-4.336832
54.110744
86.128987
63.138869
6.304761
7.672259
0
18.808113
39.738631
59.716805
0.022613
0.014879
8.566274
3
train
H0
H03
20
20
0
0
0
0.486902
-0.486902
-0.343232
-0.334305
0.180114
1.456653
0.274855
-0.334305
0.486902
0.621939
0.11176
0.157273
0.235123
0.000034
0.005256
0.493104
3
train
H1
H03
20
20
0
0
0
-1.568905
1.568905
1.256367
1.242077
2.274789
3.360038
2.587313
-1.568905
1.568905
0.112085
1.542755
2.048716
2.481741
0.289514
0.267473
-1.588892
3
train
H0
H03
30
30
0
0
0
0.931419
-0.931419
-0.481813
-0.477582
1.420571
1.41035
1.38451
0.931419
0.931419
0.347588
0.228084
0.62187
0.868633
0.016794
0.003399
0.939279
3
train
H1
H03
30
30
0
0
0
0.177413
-0.177413
-0.503158
-0.498377
0.278379
4.333917
0.553693
-0.498377
0.503158
0.227592
0.248379
0.185845
0.031465
0.466911
0.68136
0.17891
3
train
H0
H03
50
50
0
0
0
0.99271
-0.99271
-0.767187
-0.758296
0.886758
1.741918
1.034108
0.99271
0.99271
0.318419
0.575012
0.815318
0.984662
0.082039
0.0631
0.997711
3
train
H1
H03
50
50
0
0
0
-1.613154
1.613154
1.567374
1.574069
2.566791
4.007638
2.711648
-1.613154
1.613154
0.104957
2.477693
2.547098
2.612155
1.250005
1.178832
-1.621281
3
train
H0
H03
75
75
0
0
0
1.745929
-1.745929
-1.581014
-1.586191
3.219063
3.431926
3.07482
-1.586191
1.745929
0.081848
2.516001
3.167396
3.060766
1.062787
1.091436
1.74006
3
train
H1
H03
75
75
0
0
0
-0.847593
0.847593
1.123199
1.135414
1.825141
3.58275
1.404019
-0.847593
1.123199
0.310187
1.289164
0.727112
0.718655
1.288286
1.177217
-0.844744
3
train
H0
H03
100
100
0
0
0
2.225927
-2.225927
-2.238744
-2.265513
5.222492
6.858082
5.384617
2.225927
2.238744
0.025647
5.132548
5.095987
4.981578
2.901327
2.820813
2.231513
3
train
H1
H03
100
100
0
0
0
-0.244339
0.244339
0.326534
0.326055
0.36788
3.383512
0.11344
0.326055
0.326534
0.336187
0.106312
0.021116
0.059668
0.112354
0.07095
-0.244952
3
train
H0
H03
150
150
0
0
0
1.518804
-1.518804
-1.694495
-1.699341
2.88814
3.228912
2.892938
-1.699341
1.694495
0.128174
2.88776
2.599288
2.30872
1.997621
1.951529
1.521342
3
train
H1
H03
150
150
0
0
0
-0.63228
0.63228
0.543645
0.54552
0.416777
8.924961
0.400754
0.54552
0.63228
0.030305
0.297592
0.164962
0.400428
0.085784
0.049585
-0.633337
3
train
H0
H03
200
200
0
0
0
1.41678
-1.41678
-0.653794
-0.652085
3.031732
3.273736
3.376284
1.41678
1.41678
0.156029
0.425215
1.322412
2.008586
0.074542
0.063766
1.418554
3
train
H1
H03
200
200
0
0
0
-0.561349
0.561349
0.794319
0.79747
1.34313
7.533795
0.715503
0.79747
0.794319
0.056696
0.635958
0.245067
0.315086
0.696832
0.609798
-0.562052
3
train
H0
H03
300
300
0
0
0
-0.853945
0.853945
0.725645
0.724275
0.655957
0.610226
0.730421
-0.853945
0.853945
0.392741
0.524575
0.647823
0.72922
0.161763
0.18439
-0.854658
3
train
H1
H03
300
300
0
0
0
-1.691876
1.691876
0.928804
0.927474
2.230582
6.713298
4.065672
-1.691876
1.691876
0.08162
0.860208
1.607757
2.866966
0.014709
0.026371
-1.693287
3
train
H0
H03
500
500
0
0
0
1.310593
-1.310593
-0.828816
-0.828666
2.831887
4.168806
2.106269
1.310593
1.310593
0.189774
0.686687
1.546487
1.717847
0.016754
0.028242
1.311248
3
train
H1
H03
500
500
0
0
0
-2.450162
2.450162
1.324783
1.323712
5.698117
9.491111
8.618743
-2.450162
2.450162
0.013442
1.752212
3.671917
6.014726
0.046448
0.058541
-2.451388
3
train
H0
H03
1,000
1,000
0
0
0
-0.614566
0.614566
0.760775
0.76003
0.578809
0.623133
0.585483
0.76003
0.760775
0.53874
0.577646
0.5241
0.377635
0.505711
0.496152
-0.61472
3
train
H1
H03
1,000
1,000
0
0
0
-3.760347
3.760347
3.249005
3.277738
10.980311
53.228547
14.172563
-3.760347
3.760347
0
10.743564
10.831782
14.171954
3.440192
3.338116
-3.761287
3
train
H0
H03
20
20
10
5
0
0.079258
-0.067714
-0.280137
-0.276851
0.315933
1.65597
0.22684
0.079258
0.280137
0.646767
0.076647
0.016915
0.004554
0.157998
0.090268
0.063765
3
train
H1
H03
20
20
10
5
5
-0.453197
0.42262
0.925012
0.925763
1.940177
2.469764
1.746359
0.925763
0.925012
0.417622
0.857036
0.37237
0.177241
1.844553
1.716983
-0.437665
3
train
H0
H03
30
30
10
16.666667
13.333333
-0.655089
0.596791
1.012921
1.029243
2.070058
4.784977
1.806105
1.029243
1.012921
0.188236
1.059342
0.555757
0.355319
1.911878
1.799307
-0.553763
3
train
H1
H03
30
30
10
16.666667
10
-1.806442
1.830601
1.196212
1.226204
5.333786
7.993662
4.502262
-1.806442
1.830601
0.046143
1.503577
3.018793
3.395119
0.034953
0.000128
-1.869518
3
train
H0
H03
50
50
10
10
14
1.821066
-1.831447
-1.348817
-1.363216
4.730569
9.578142
3.827109
-1.363216
1.831447
0.022514
1.858359
3.226088
3.378487
0.308306
0.421109
1.850588
3
train
H1
H03
50
50
10
12
8
-1.132154
1.180482
0.349963
0.34519
3.110087
3.13289
3.510164
-1.132154
1.180482
0.172893
0.119156
0.717373
1.392139
0.452713
0.398652
-1.194354
3
train
H0
H03
75
75
10
9.333333
8
-0.184868
0.164975
0.317697
0.316099
0.293188
2.879165
0.153191
-0.184868
0.317697
0.410633
0.099919
0.024131
0.027153
0.194427
0.131817
-0.165199
3
train
H1
H03
75
75
10
8
5.333333
-1.93138
1.9116
1.910964
1.928531
3.901898
4.421019
3.957269
-1.93138
1.9116
0.054412
3.719232
3.884828
3.672507
1.951192
1.943547
-1.923542
3
train
H0
H03
100
100
10
11
5
0.342303
-0.373248
0.378775
0.377639
2.04151
3.149291
2.343964
0.377639
0.378775
0.309752
0.142611
0.005573
0.139135
1.16971
1.217779
0.374915
3
train
H1
H03
100
100
10
9
5
-2.037658
2.027799
1.9445
1.962754
3.924842
11.758572
4.250165
-2.037658
2.027799
0.008258
3.852403
3.763047
4.122179
1.879754
1.730465
-2.041091
3
train
H0
H03
150
150
10
8.666667
8.666667
0.486279
-0.504901
-0.135502
-0.136006
1.172868
5.117654
0.701306
-0.136006
0.504901
0.163382
0.018498
0.204949
0.254702
0.095109
0.064334
0.509509
3
train
H1
H03
150
150
10
13.333333
8.666667
-2.956486
2.992944
2.345793
2.353325
8.227139
9.21793
9.285123
-2.956486
2.992944
0.002461
5.53814
7.418259
9.021995
0.864861
0.931968
-3.028068
3
train
H0
H03
200
200
10
7.5
9.5
0.776732
-0.797579
-0.440649
-0.438977
0.747098
1.535506
0.894661
0.776732
0.797579
0.420296
0.192701
0.443184
0.635502
0.004194
0.008702
0.805907
3
train
H1
H03
200
200
10
11.5
8.5
-2.254413
2.28419
1.456815
1.461271
4.255843
19.042054
6.74436
-2.254413
2.28419
0.000268
2.135314
3.198375
5.246199
0.005094
0.00144
-2.301796
3
train
H0
H03
300
300
10
9.666667
11.666667
0.791862
-0.776471
-0.997238
-0.995409
1.03039
1.106245
1.042859
0.791862
0.997238
0.433289
0.99084
0.80817
0.60282
0.912229
0.852551
0.783575
3
train
H1
H03
300
300
10
10
7.666667
-1.627263
1.637672
1.422736
1.423814
2.139658
6.535556
2.654547
-1.627263
1.637672
0.088271
2.027245
2.067434
2.684592
0.655827
0.609564
-1.649675
3
train
H0
H03
500
500
10
8.8
11
1.224934
-1.221693
-1.038665
-1.037025
1.391442
1.328774
1.516497
1.224934
1.221693
0.21897
1.075421
1.301524
1.492451
0.300531
0.318058
1.229272
3
train
H1
H03
500
500
10
9.8
9.8
-3.207784
3.215054
2.778897
2.798436
8.864574
17.023929
10.354877
-3.207784
3.215054
0.000699
7.831242
8.713366
10.36557
2.415871
2.340654
-3.239547
3
train
H0
H03
1,000
1,000
10
10.7
10.1
0.358589
-0.312639
-1.115778
-1.117613
3.142098
3.719538
3.34887
-1.117613
1.115778
0.187414
1.249059
0.426017
0.097736
2.866326
2.88075
0.314085
3
train
H1
H03
1,000
1,000
10
9.8
10.1
-2.366036
2.391539
1.707325
1.708903
4.199316
15.311819
6.391263
1.708903
2.391539
0.001569
2.92035
3.802701
5.725688
0.237683
0.216997
-2.408788