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
int64
0
50
real_perc1
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95
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95
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float64
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10.1
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8.5
logrank_test
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CoxMantel_test
float64
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7.03
BN_GPH_test
float64
0
109
BN_MCE_test
float64
0
143
BN_SCE_test
float64
0
114
Q_test
float64
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10.1
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
2
train
H0
H23
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train
H1
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train
H0
H23
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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
H23
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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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300
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train
H1
H23
300
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train
H0
H23
500
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13.4
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train
H1
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train
H0
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train
H1
H23
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13
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train
H0
H23
20
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20
25
15
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train
H1
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20
20
20
25
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train
H0
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train
H1
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train
H0
H23
50
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train
H1
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train
H0
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train
H1
H23
75
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22.666667
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train
H0
H23
100
100
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32
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train
H1
H23
100
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train
H0
H23
150
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train
H1
H23
150
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20
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train
H0
H23
200
200
20
16.5
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train
H1
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200
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train
H0
H23
300
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train
H1
H23
300
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train
H0
H23
500
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train
H1
H23
500
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21.6
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train
H0
H23
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train
H1
H23
1,000
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18.1
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train
H0
H23
20
20
30
20
30
1.358989
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train
H1
H23
20
20
30
20
15
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train
H0
H23
30
30
30
33.333333
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0.672924
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train
H1
H23
30
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train
H0
H23
50
50
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train
H1
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50
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30
34
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train
H0
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train
H1
H23
75
75
30
36
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train
H0
H23
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train
H1
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100
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train
H0
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train
H1
H23
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train
H0
H23
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train
H1
H23
200
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train
H0
H23
300
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train
H1
H23
300
300
30
32
36.666667
-0.891001
1.106067
-0.020126
-0.02009
5.36137
7.566371
6.014181
-0.891001
1.106067
0.049435
0.000404
0.467589
1.232937
1.964005
2.071759
-1.178867
2
train
H0
H23
500
500
30
30.4
29.4
-0.743738
0.573333
1.167061
1.168116
1.63456
6.538256
2.015581
1.168116
1.167061
0.088166
1.364495
0.841409
0.331739
2.015437
2.146129
-0.612855
2
train
H1
H23
500
500
30
30.6
32.6
0.63066
-0.436348
-1.507937
-1.512024
6.555352
6.851123
6.243404
-1.512024
1.507937
0.044082
2.286215
0.667165
0.188258
5.477021
5.453543
0.461364
2
train
H0
H23
1,000
1,000
30
28.8
27.4
-0.4304
0.44126
0.28338
0.283232
0.262313
0.252555
0.259637
0.283232
0.44126
0.640807
0.08022
0.153533
0.196453
0.000954
0.000664
-0.466571
2
train
H1
H23
1,000
1,000
30
29.7
28.9
1.539881
-1.466363
-1.699175
-1.702435
2.898331
2.96067
2.901575
-1.702435
1.699175
0.122739
2.898286
2.620602
2.146607
2.133472
2.148016
1.543377
2
train
H0
H23
20
20
40
40
40
-0.34236
0.387146
0.080155
0.080087
0.856956
0.998197
0.820631
0.080087
0.387146
0.65528
0.006414
0.080658
0.164906
0.079824
0.05948
-0.44644
2
train
H1
H23
20
20
40
30
45
0.533008
-0.567411
-0.467784
-0.46312
0.292491
0.413454
0.302309
0.533008
0.567411
0.555322
0.21448
0.258864
0.300572
0.012085
0.011855
0.589805
2
train
H0
H23
30
30
40
40
36.666667
-0.331756
0.318605
0.353987
0.352894
0.1264
0.287942
0.125119
0.352894
0.353987
0.724343
0.124534
0.100194
0.106537
0.220011
0.16531
-0.35266
2
train
H1
H23
30
30
40
50
43.333333
-0.000576
0.023333
-0.373597
-0.371852
1.737742
5.091387
1.449493
-0.371852
0.373597
0.165226
0.138274
0.000663
0.00865
1.056408
0.770404
-0.099833
2
train
H0
H23
50
50
40
38
44
0.137076
-0.195806
-0.073162
-0.072867
0.034593
0.100274
0.043703
0.137076
0.195806
0.854325
0.00531
0.015136
0.027347
0.023554
0.022681
0.183602
2
train
H1
H23
50
50
40
34
40
1.791835
-1.713722
-1.896449
-1.936387
3.752026
3.76088
3.754214
1.791835
1.896449
0.067863
3.749597
3.477032
2.938806
2.669186
2.691203
1.825918
2
train
H0
H23
75
75
40
28
38.666667
0.940933
-0.874464
-1.226473
-1.216763
1.649075
1.624303
1.692339
-1.216763
1.226473
0.349425
1.480512
1.107305
0.741453
1.480825
1.476501
0.935705
2
train
H1
H23
75
75
40
38.666667
36
-1.115879
1.146291
0.765468
0.761169
1.9676
2.183033
1.841882
-1.115879
1.146291
0.213145
0.579379
1.128425
1.345352
0.000512
0.007685
-1.244965
2
train
H0
H23
100
100
40
41
35
0.015827
0.060657
-0.294166
-0.295208
0.641137
0.664339
0.610232
-0.295208
0.294166
0.737038
0.087148
0.003188
0.004933
0.309376
0.27335
-0.07568
2
train
H1
H23
100
100
40
32
45
1.24147
-1.028408
-1.639269
-1.627654
2.994042
4.896753
3.213235
-1.627654
1.639269
0.179515
2.649257
1.72466
1.034301
3.012477
3.3229
1.093016
2
train
H0
H23
150
150
40
42.666667
38
0.010032
0.125761
-0.49164
-0.492758
1.851204
1.863368
1.794654
-0.492758
0.49164
0.407658
0.24281
0.007708
0.018159
1.128586
1.095817
-0.14237
2
train
H1
H23
150
150
40
35.333333
44.666667
0.462288
-0.213275
-1.101174
-1.098995
3.682766
4.374482
3.829593
-1.098995
1.101174
0.147372
1.207789
0.291594
0.043276
3.251158
3.349937
0.229823
2
train
H0
H23
200
200
40
46
32
0.546475
-0.634676
-0.165005
-0.16604
1.229485
1.31081
1.168742
0.546475
0.634676
0.496114
0.027569
0.248656
0.391032
0.208894
0.19965
0.680616
2
train
H1
H23
200
200
40
43.5
34
-1.958906
1.845974
2.282101
2.283431
5.553772
6.595153
5.413194
-1.958906
2.282101
0.043744
5.214055
4.099317
3.436839
4.72578
4.57148
-2.016531
2
train
H0
H23
300
300
40
40
38.666667
-0.578847
0.570389
0.591287
0.59057
0.349593
0.523809
0.355109
-0.578847
0.591287
0.532457
0.348773
0.331051
0.331963
0.243696
0.232004
-0.624259
2
train
H1
H23
300
300
40
43.333333
38.666667
-1.768757
1.83494
1.5998
1.602389
2.916921
6.476653
3.151077
-1.768757
1.83494
0.045297
2.567651
3.046457
3.395513
0.84141
0.804444
-2.001887
2
train
H0
H23
500
500
40
35.8
38.8
1.317303
-1.279624
-1.301578
-1.302571
1.813751
2.196146
1.783158
-1.302571
1.301578
0.167572
1.696691
1.761789
1.625994
0.837691
0.908784
1.380047
2
train
H1
H23
500
500
40
41
41.8
-0.456816
0.554519
-0.033398
-0.0334
2.28983
4.155151
1.893069
-0.456816
0.554519
0.245191
0.001116
0.17145
0.314489
0.60125
0.54527
-0.610355
2
train
H0
H23
1,000
1,000
40
39.9
38.5
0.517403
-0.623361
-0.294229
-0.294139
0.295485
4.196213
0.530665
0.517403
0.623361
0.241041
0.086518
0.210188
0.384612
0.014952
0.028882
0.671302
2
train
H1
H23
1,000
1,000
40
38.4
40.8
1.445282
-1.101935
-2.340086
-2.346096
9.695827
9.580986
9.817134
-2.346096
2.340086
0.007383
5.504164
2.597168
1.207357
9.556152
9.447688
1.187613
2
train
H0
H23
20
20
50
45
40
-0.224159
0.188062
0.15666
0.151274
0.074603
0.079882
0.073384
0.151274
0.188062
0.766394
0.022884
0.048647
0.061909
0.037014
0.06426
-0.297095
2
train
H1
H23
20
20
50
60
50
0.055565
0.040866
-0.249952
-0.255354
1.025836
1.74548
1.063465
-0.255354
0.249952
0.587586
0.065206
0.005497
0.006661
0.275184
0.275062
-0.135361
2
train
H0
H23
30
30
50
50
50
0.022757
-0.07584
0.218465
0.217574
0.616362
0.674812
0.602733
0.022757
0.218465
0.739807
0.047338
0.002219
0.001053
0.513597
0.513824
0.019635
2
train
H1
H23
30
30
50
43.333333
50
-0.295678
0.504832
-0.261563
-0.26769
4.465655
9.726421
3.982526
-0.26769
0.504832
0.021041
0.071658
0.084755
0.278025
2.191374
1.799063
-0.570077
2
train
H0
H23
50
50
50
56
48
-1.893382
2.201791
0.809879
0.803507
13.843955
14.842663
13.343322
-1.893382
2.201791
0.001266
0.645623
3.053493
4.988869
3.489129
3.257907
-2.632264
2
train
H1
H23
50
50
50
46
50
0.427717
-0.369839
-0.548526
-0.543352
0.38022
0.390134
0.379972
-0.543352
0.548526
0.703242
0.295231
0.176808
0.107436
0.25919
0.258573
0.380948
2
train
H0
H23
75
75
50
52
48
0.393695
-0.619058
-0.130367
-0.130217
0.601667
4.603123
0.815692
-0.130217
0.619058
0.203274
0.016957
0.1141
0.363103
0.215775
0.251136
0.657131
2
train
H1
H23
75
75
50
56
58.666667
0.531934
-0.273217
-0.782721
-0.785561
1.28962
1.759382
1.361531
-0.785561
0.782721
0.506229
0.617106
0.264744
0.066818
1.078301
1.092307
0.282999
2
train
H0
H23
100
100
50
56
52
-0.061635
-0.079419
0.525391
0.527768
2.844497
8.050831
2.331081
0.527768
0.525391
0.044973
0.278539
0.005025
0.002512
1.540002
1.364049
0.038817
2
train
H1
H23
100
100
50
57
54
-0.430558
0.418083
0.337248
0.334539
0.292953
0.919793
0.244034
-0.430558
0.418083
0.616498
0.111916
0.190747
0.198024
0.010197
0.044956
-0.50082
2
train
H0
H23
150
150
50
46
45.333333
1.285483
-1.5309
-0.622461
-0.620239
4.124747
4.62668
4.345844
1.285483
1.5309
0.091454
0.384696
1.48513
2.313115
0.304266
0.288641
1.687776
2
train
H1
H23
150
150
50
54.666667
50.666667
-1.251453
1.055836
1.538631
1.546573
2.995829
2.960125
2.991872
1.546573
1.538631
0.224039
2.391889
1.666609
1.150007
3.248702
3.14404
-1.198848
2
train
H0
H23
200
200
50
47
45
-0.47951
0.420842
0.46524
0.464782
0.244211
0.340611
0.231311
-0.47951
0.46524
0.636139
0.216022
0.247944
0.185899
0.123734
0.123179
-0.473105
2
train
H1
H23
200
200
50
50
47
-1.973796
2.30463
1.052051
1.05008
10.542638
10.593792
10.687829
-1.973796
2.30463
0.004777
1.102668
3.567324
5.381595
1.001837
0.849524
-2.58874
2
train
H0
H23
300
300
50
53
52
-0.006072
-0.04953
0.04401
0.043976
0.009428
0.099983
0.01734
0.043976
0.04953
0.96422
0.001934
0.000487
0.001627
0.019328
0.014703
0.044858
2
train
H1
H23
300
300
50
54
49.666667
-0.806695
0.921146
0.492468
0.491304
1.356936
1.790793
1.433084
-0.806695
0.921146
0.291103
0.24138
0.617945
0.873832
0.029743
0.03545
-1.055705
2
train
H0
H23
500
500
50
52.2
50.8
-1.344869
1.318021
1.409263
1.410622
1.989856
2.292844
1.993139
1.410622
1.409263
0.129411
1.989856
1.863658
1.765507
1.348936
1.296739
-1.516429
2
train
H1
H23
500
500
50
51.8
48
-1.838279
1.949743
1.337638
1.336223
5.053532
5.429076
4.834201
-1.838279
1.949743
0.027592
1.785491
3.346628
3.837279
0.008076
0.013161
-2.20304
2
train
H0
H23
1,000
1,000
50
50.9
49.9
0.016426
-0.212835
0.1445
0.144332
0.109902
1.359254
0.229984
0.144332
0.212835
0.715113
0.020832
0.000187
0.043132
0.150574
0.158169
0.233212
2
train
H1
H23
1,000
1,000
50
50.9
51
-0.093975
0.298393
-0.435207
-0.435616
2.711462
2.771155
2.587224
-0.435616
0.435207
0.274278
0.189762
0.00472
0.092503
1.49361
1.476683
-0.342477