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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20
1k
perc
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0
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logrank_test
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CoxMantel_test
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7.03
BN_GPH_test
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0
109
BN_MCE_test
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143
BN_SCE_test
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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
H0
H14
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train
H1
H14
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train
H0
H14
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train
H1
H14
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train
H0
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train
H1
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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
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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
H14
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train
H0
H14
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20
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train
H1
H14
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20
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train
H0
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train
H1
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train
H0
H14
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train
H1
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train
H0
H14
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train
H1
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train
H0
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train
H1
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train
H0
H14
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train
H1
H14
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train
H0
H14
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train
H1
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30
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train
H0
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train
H1
H14
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train
H0
H14
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train
H1
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train
H0
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train
H1
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train
H0
H14
20
20
40
30
50
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train
H1
H14
20
20
40
35
45
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train
H0
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3
train
H1
H14
30
30
40
36.666667
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train
H0
H14
50
50
40
54
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train
H1
H14
50
50
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56
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train
H0
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train
H1
H14
75
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train
H0
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train
H1
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train
H0
H14
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train
H1
H14
150
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train
H0
H14
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train
H1
H14
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40
44.5
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train
H0
H14
300
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3
train
H1
H14
300
300
40
41.333333
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1.315159
1.314424
1.952145
1.967645
1.976236
-1.09773
1.315159
0.304353
1.72771
1.346921
0.994969
2.026305
2.02291
-1.027143
3
train
H0
H14
500
500
40
41.8
39.8
-0.746505
0.547725
1.065159
1.065309
1.746127
4.651971
1.979593
1.065309
1.065159
0.199129
1.134884
0.693585
0.300011
1.984768
2.08531
-0.562554
3
train
H1
H14
500
500
40
40
41
-0.01513
-0.063945
0.203917
0.203796
0.401418
0.408487
0.402768
-0.01513
0.203917
0.817598
0.041533
0.00111
0.004088
0.284502
0.284257
0.065635
3
train
H0
H14
1,000
1,000
40
38.8
38.8
0.643266
-0.732986
-0.454024
-0.454094
0.644777
0.892972
0.685244
0.643266
0.732986
0.452874
0.206201
0.394237
0.537263
0.000084
0.000118
0.750632
3
train
H1
H14
1,000
1,000
40
37.8
39.4
0.640323
-0.781
-0.271416
-0.271419
1.692753
1.790898
1.614931
0.640323
0.781
0.424352
0.073668
0.393611
0.609897
0.201379
0.188034
0.798894
3
train
H0
H14
20
20
50
55
30
-1.370842
1.364697
1.415395
1.405833
1.979298
1.984223
1.979315
1.405833
1.415395
0.1585
1.976366
1.973474
1.862925
1.68303
1.764431
-1.410135
3
train
H1
H14
20
20
50
50
50
1.131762
-1.131407
-0.958586
-0.988211
1.766317
3.321779
1.824783
1.131762
1.131407
0.250537
0.976561
1.147864
1.300552
0.060234
0.062451
1.149047
3
train
H0
H14
30
30
50
46.666667
53.333333
-0.034122
0
0.033174
0.032902
0.005342
0.868613
0.001083
0.032902
0.033174
0.832995
0.001083
0.009239
0
0.006853
0.018924
-0.004194
3
train
H1
H14
30
30
50
56.666667
36.666667
-1.401223
1.392063
1.480554
1.470166
2.172711
4.047741
2.187815
1.470166
1.480554
0.152945
2.161388
2.22558
1.929346
2.270117
2.574633
-1.429207
3
train
H0
H14
50
50
50
48
50
-0.665589
0.744961
0.456627
0.455847
1.121269
1.555467
1.16192
0.455847
0.744961
0.442248
0.207797
0.377475
0.554822
0.004979
0.007082
-0.768402
3
train
H1
H14
50
50
50
52
52
-1.249883
1.463121
0.891833
0.897438
2.926687
3.085061
2.937238
0.897438
1.463121
0.121809
0.805395
1.779664
2.161391
0.032492
0.014912
-1.547223
3
train
H0
H14
75
75
50
41.333333
48
1.201226
-1.098069
-1.295482
-1.300046
1.778756
3.487387
1.749118
-1.300046
1.295482
0.260432
1.690121
1.337084
1.205573
1.301798
1.197947
1.12537
3
train
H1
H14
75
75
50
52
42.666667
-0.909652
0.809589
1.048411
1.056787
1.414789
3.645097
1.353759
-0.909652
1.048411
0.302425
1.116798
0.780454
0.654451
1.460159
1.430853
-0.82526
3
train
H0
H14
100
100
50
52
52
0.14796
-0.082317
-0.224211
-0.223522
0.168211
0.988854
0.144545
-0.223522
0.224211
0.803949
0.049962
0.008743
0.00677
0.07067
0.037155
0.087991
3
train
H1
H14
100
100
50
58
51
-0.342281
-0.079491
0.866665
0.867872
5.288061
5.25879
5.290718
0.867872
0.866665
0.07098
0.753202
0.072977
0.006318
3.727665
3.634117
0.074247
3
train
H0
H14
150
150
50
55.333333
56
0.087367
0.135137
-0.325946
-0.3257
1.225316
6.39603
1.408664
-0.3257
0.325946
0.093854
0.10608
0.015974
0.018249
0.752744
0.830183
-0.136295
3
train
H1
H14
150
150
50
48.666667
58
2.033512
-2.26584
-1.624484
-1.622694
6.888633
7.363842
6.989862
2.033512
2.26584
0.01887
2.633137
4.095936
5.140536
0.085404
0.099934
2.348094
3
train
H0
H14
200
200
50
49.5
51
0.664839
-0.696341
-0.572013
-0.572091
0.519702
1.026071
0.548082
-0.572091
0.696341
0.473811
0.327288
0.405375
0.484692
0.026689
0.024002
0.716293
3
train
H1
H14
200
200
50
50.5
51.5
0.104016
-0.045996
-0.078576
-0.07842
0.016549
0.0173
0.01898
-0.07842
0.078576
0.96251
0.00615
0.001249
0.002115
0.003441
0.001514
0.047004
3
train
H0
H14
300
300
50
47
51
-0.560163
0.844316
0.049714
0.049729
4.021227
4.823902
4.219469
0.049729
0.844316
0.12127
0.002473
0.255959
0.713054
1.134428
1.120756
-0.876294
3
train
H1
H14
300
300
50
46
53.666667
1.822123
-2.077326
-1.388979
-1.386438
4.754084
7.399123
5.131024
1.822123
2.077326
0.030973
1.922212
3.320224
4.314934
0.024471
0.017055
2.157423
3
train
H0
H14
500
500
50
47
53.2
2.503824
-2.663013
-2.14267
-2.141765
7.688103
7.718508
7.646843
-2.141765
2.663013
0.006006
4.587159
6.38249
7.094966
0.746973
0.768917
2.747447
3
train
H1
H14
500
500
50
53
49
-0.532166
0.312963
0.864786
0.864411
2.437822
2.461624
2.407139
-0.532166
0.864786
0.300121
0.747206
0.279347
0.097917
2.137401
2.076235
-0.323936
3
train
H0
H14
1,000
1,000
50
49.2
48.8
-0.890381
1.299317
0.197273
0.19754
7.986966
9.527796
7.445644
0.19754
1.299317
0.023037
0.039022
0.976694
1.688576
1.943763
1.841202
-1.339794
3
train
H1
H14
1,000
1,000
50
54.3
49.1
-0.514925
0.143419
1.030517
1.030433
5.490245
6.363765
5.275586
1.030433
1.030517
0.071519
1.061792
0.19188
0.020572
3.957888
3.877672
-0.149244
3
train
H0
H15
20
20
0
0
0
0.189351
-0.189351
0.158515
0.156915
0.225457
4.262214
0.54503
0.156915
0.189351
0.234506
0.024622
0.000472
0.03561
0.270978
0.451075
0.191763
3
train
H1
H15
20
20
0
0
0
-1.109054
1.109054
1.479819
1.510758
2.649206
2.658956
2.652979
1.510758
1.479819
0.26136
2.282391
1.691647
1.229026
2.901922
2.947354
-1.123182
3
train
H0
H15
30
30
0
0
0
-1.138401
1.138401
1.181483
1.171724
1.41874
1.502469
1.423448
-1.138401
1.181483
0.250965
1.372938
1.408678
1.295885
0.935988
0.959671
-1.148008
3
train
H1
H15
30
30
0
0
0
1.729778
-1.729778
-0.961011
-0.951488
4.148201
3.962627
4.441706
1.729778
1.729778
0.081094
0.905329
2.105883
3.021521
0.006367
0.000004
1.744375
3
train
H0
H15
50
50
0
0
0
-0.517036
0.517036
0.779542
0.778024
0.616009
2.897787
0.729252
0.778024
0.779542
0.407654
0.605321
0.489918
0.26678
0.76979
0.988202
-0.519641
3
train
H1
H15
50
50
0
0
0
1.28225
-1.28225
-0.634061
-0.627048
1.802561
4.762079
2.671636
1.28225
1.28225
0.190071
0.393189
0.946643
1.648096
0.044336
0.072497
1.28871
3
train
H0
H15
75
75
0
0
0
0.776177
-0.776177
-1.016078
-1.011268
1.086132
1.100464
1.072563
-1.011268
1.016078
0.439186
1.022662
0.76611
0.601436
0.877958
0.86042
0.773568
3
train
H1
H15
75
75
0
0
0
1.339986
-1.339986
-0.58893
-0.586228
3.014298
2.628531
3.255167
1.339986
1.339986
0.181719
0.343664
1.108399
1.798448
0.116892
0.077362
1.335482
3
train
H0
H15
100
100
0
0
0
1.197261
-1.197261
-1.574161
-1.585038
2.516046
5.551221
2.673476
-1.585038
1.574161
0.135607
2.512346
2.169845
1.434842
2.413008
2.732979
1.200265
3
train
H1
H15
100
100
0
0
0
0.498451
-0.498451
-0.525491
-0.523321
0.275158
0.809223
0.281187
-0.523321
0.525491
0.617285
0.273865
0.240352
0.248192
0.155114
0.128257
0.499702
3
train
H0
H15
150
150
0
0
0
-0.541764
0.541764
0.331182
0.329537
0.165016
1.219597
0.374923
-0.541764
0.541764
0.587357
0.108595
0.152322
0.293371
0.001784
0.000006
-0.54267
3
train
H1
H15
150
150
0
0
0
2.091184
-2.091184
-0.501948
-0.502799
10.431329
9.798323
11.765782
2.091184
2.091184
0.002787
0.252806
2.177209
4.393655
1.351026
1.249504
2.094678
3
train
H0
H15
200
200
0
0
0
0.858025
-0.858025
-0.361677
-0.360708
1.538423
1.663752
1.343231
0.858025
0.858025
0.390285
0.13011
0.527359
0.735933
0.061046
0.041737
0.8591
3
train
H1
H15
200
200
0
0
0
-1.279254
1.279254
2.165099
2.187627
5.950131
5.576004
6.518003
2.187627
2.165099
0.038427
4.785713
3.100901
1.640336
6.548881
6.49994
-1.280856
3
train
H0
H15
300
300
0
0
0
-0.105507
0.105507
-0.214344
-0.213871
0.526678
0.857779
0.390951
-0.105507
0.214344
0.822444
0.045741
0.000072
0.011126
0.210815
0.187127
-0.105595
3
train
H1
H15
300
300
0
0
0
1.542565
-1.542565
-0.462574
-0.462204
5.169242
4.469295
5.546096
1.542565
1.542565
0.062471
0.213633
1.293726
2.381308
0.547443
0.4909
1.543852
3
train
H0
H15
500
500
0
0
0
1.587383
-1.587383
-1.056577
-1.055764
2.352625
5.398728
2.939266
1.587383
1.587383
0.112246
1.114638
1.965751
2.521898
0.067714
0.054615
1.588177
3
train
H1
H15
500
500
0
0
0
0.631318
-0.631318
0.665047
0.666493
6.464883
5.91597
6.499762
0.631318
0.665047
0.038779
0.444214
0.019758
0.398598
3.271223
3.186879
0.631634
3
train
H0
H15
1,000
1,000
0
0
0
-2.417996
2.417996
1.567131
1.567223
6.765305
6.295173
6.982274
-2.417996
2.417996
0.01558
2.456188
4.653352
5.850846
0.069189
0.085654
-2.418601
3
train
H1
H15
1,000
1,000
0
0
0
1.867938
-1.867938
0.03388
0.03392
12.478522
11.939804
14.63187
1.867938
1.867938
0.000665
0.001151
1.246547
3.491779
3.614769
3.569131
1.868405