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
50
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logrank_test
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0
109
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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float64
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
float64
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3
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
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
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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60
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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
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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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-0.675695
0.578453
0.917166
0.917528
1.117637
1.386108
1.141406
0.917528
0.917166
0.552976
0.841857
0.538204
0.334584
1.197614
1.259852
-0.593307
3
train
H0
H04
500
500
30
28.2
34.2
1.338145
-1.144418
-1.951978
-1.953257
5.730475
6.607589
5.905679
-1.953257
1.951978
0.052191
3.815213
2.298156
1.309499
5.770638
5.90057
1.172944
3
train
H1
H04
500
500
30
32.2
30.4
-1.55907
1.516832
1.6578
1.66085
2.777838
4.51964
2.758577
-1.55907
1.6578
0.120429
2.758421
2.374485
2.301307
2.018708
1.946844
-1.552974
3
train
H0
H04
1,000
1,000
30
30.8
30.2
0.38793
-0.298394
-0.698862
-0.699081
1.152326
1.39881
1.034315
-0.699081
0.698862
0.596213
0.488714
0.170453
0.089028
0.942977
0.941605
0.304697
3
train
H1
H04
1,000
1,000
30
31.8
29.5
-3.324539
3.319737
3.126172
3.136253
10.94121
11.512954
11.079984
-3.324539
3.319737
0.000691
9.83608
10.944991
11.035728
4.113564
4.098947
-3.393305
3
train
H0
H04
20
20
40
40
55
0.976776
-0.844607
-1.100283
-1.118595
1.615948
4.174379
1.570125
-1.118595
1.100283
0.24324
1.251255
0.895697
0.711046
1.24658
1.164095
0.879252
3
train
H1
H04
20
20
40
45
65
0.940169
-0.985883
-0.880542
-0.864584
0.915419
1.096782
0.925448
-0.864584
0.985883
0.305062
0.747505
0.827859
0.968894
0.110835
0.060791
1.025638
3
train
H0
H04
30
30
40
30
56.666667
3.357081
-3.521836
-2.933816
-3.025988
12.643767
12.901258
12.747145
3.357081
3.521836
0.000267
9.156605
11.874202
12.876684
2.576987
2.84924
3.644979
3
train
H1
H04
30
30
40
30
40
-0.117477
0.267514
-0.302361
-0.302407
1.536067
3.828973
1.787143
-0.302407
0.302361
0.280534
0.09145
0.000119
0.076332
0.796899
0.950192
-0.273537
3
train
H0
H04
50
50
40
42
44
-0.425078
0.451498
0.361791
0.361632
0.231728
0.778404
0.21057
-0.425078
0.451498
0.643477
0.130778
0.196526
0.203825
0.060123
0.069553
-0.462843
3
train
H1
H04
50
50
40
54
42
-2.570747
2.651954
2.311461
2.352973
7.145837
8.841913
7.282506
-2.570747
2.651954
0.005689
5.536484
6.474318
7.133213
1.301719
1.25259
-2.765166
3
train
H0
H04
75
75
40
37.333333
44
-0.185465
0.23767
0.121164
0.12112
0.026288
3.72244
0.071493
0.12112
0.23767
0.293037
0.01467
0.01213
0.056429
0.002215
0.000791
-0.243976
3
train
H1
H04
75
75
40
29.333333
33.333333
-1.590116
1.676097
1.073816
1.081236
3.974667
4.22705
3.916418
-1.590116
1.676097
0.083606
1.169072
2.302903
2.82836
0.005334
0.005184
-1.730137
3
train
H0
H04
100
100
40
36
36
-0.157437
0.266875
-0.213959
-0.213159
1.590866
4.826173
1.207851
-0.213159
0.266875
0.184977
0.045437
0.029864
0.07109
0.562293
0.431363
-0.267631
3
train
H1
H04
100
100
40
45
43
-0.469053
0.538221
0.450352
0.451293
0.232206
0.947952
0.22018
-0.469053
0.538221
0.582743
0.203665
0.285678
0.289603
0.119347
0.130396
-0.549383
3
train
H0
H04
150
150
40
37.333333
38.666667
0.531593
-0.370464
-1.001134
-1.005362
3.123669
6.680433
2.723113
-1.005362
1.001134
0.082812
1.010753
0.309636
0.137211
2.38223
2.176282
0.388735
3
train
H1
H04
150
150
40
38.666667
42.666667
-0.595865
0.701067
0.41465
0.415756
0.589062
0.965049
0.627709
-0.595865
0.701067
0.470625
0.172853
0.337176
0.491921
0.00046
0.000001
-0.721462
3
train
H0
H04
200
200
40
37
34.5
-0.686867
0.584881
0.978788
0.981446
1.739287
4.499276
1.501692
0.981446
0.978788
0.212355
0.963235
0.469138
0.341982
1.64332
1.524773
-0.603342
3
train
H1
H04
200
200
40
45
46.5
-0.244397
0.520139
-0.288495
-0.289211
3.960824
4.638335
4.134848
-0.289211
0.520139
0.126511
0.083643
0.030405
0.270555
1.720578
1.730907
-0.53899
3
train
H0
H04
300
300
40
37.666667
40
0.289431
-0.262882
-0.387137
-0.386189
0.210945
0.255176
0.20164
0.289431
0.387137
0.784974
0.149142
0.095783
0.069077
0.166074
0.15498
0.272843
3
train
H1
H04
300
300
40
42
38.333333
-2.864469
2.800827
2.819232
2.849457
8.326935
8.80198
8.397379
2.849457
2.819232
0.003788
8.119405
8.036776
7.884462
4.328892
4.364645
-2.895259
3
train
H0
H04
500
500
40
39
39.4
1.513903
-1.625803
-1.112365
-1.113791
3.268188
3.195614
3.332951
1.513903
1.625803
0.093432
1.240531
2.105819
2.645119
0.021697
0.026706
1.677567
3
train
H1
H04
500
500
40
38.4
42.4
-0.916868
1.027516
0.5204
0.521895
2.181068
2.175913
2.275965
0.521895
1.027516
0.289983
0.272375
0.695794
1.056561
0.100354
0.096974
-1.058159
3
train
H0
H04
1,000
1,000
40
42.1
39.2
-1.990269
2.088535
1.578935
1.578419
4.983623
5.03123
4.89867
-1.990269
2.088535
0.030464
2.491408
3.89308
4.362539
0.197564
0.202419
-2.164001
3
train
H1
H04
1,000
1,000
40
38.8
41.7
-0.513825
0.633496
0.261096
0.261199
0.524646
5.980518
0.821373
0.261199
0.633496
0.112562
0.068225
0.166603
0.401367
0.059461
0.077594
-0.653524
3
train
H0
H04
20
20
50
70
50
-0.972009
0.528158
1.258239
1.254903
3.645569
4.934204
3.722268
-0.972009
1.258239
0.155496
1.574781
0.775186
0.277649
3.980999
4.005041
-0.604975
3
train
H1
H04
20
20
50
45
45
0.05836
0.030832
-0.194936
-0.194292
0.307609
1.243002
0.345724
-0.194292
0.194936
0.74271
0.03775
0.009637
0.000945
0.099125
0.13143
-0.03801
3
train
H0
H04
30
30
50
46.666667
53.333333
0.317947
-0.217941
-0.546878
-0.538609
0.736087
0.862055
0.710294
-0.538609
0.546878
0.70107
0.290099
0.133435
0.047229
0.450014
0.406815
0.254469
3
train
H1
H04
30
30
50
43.333333
40
-1.100774
0.792989
1.520839
1.600784
6.006571
6.371467
5.923673
-1.100774
1.520839
0.051724
2.56251
1.279755
0.634557
5.908532
5.618619
-0.854214
3
train
H0
H04
50
50
50
46
42
-1.094301
1.361869
0.561945
0.557407
4.009114
4.162315
4.059053
0.557407
1.361869
0.131398
0.310702
1.127535
1.852489
0.391704
0.443925
-1.416328
3
train
H1
H04
50
50
50
50
60
1.137195
-1.280782
-0.83876
-0.830771
2.920103
4.875129
2.738003
-0.830771
1.280782
0.181172
0.690181
1.477918
1.636704
0.004862
0.005658
1.321162
3
train
H0
H04
75
75
50
42.666667
54.666667
1.07459
-0.869267
-1.26603
-1.266233
1.879748
2.092591
1.901525
-1.266233
1.26603
0.36484
1.603345
1.105808
0.75504
1.626081
1.733298
0.906181
3
train
H1
H04
75
75
50
58.666667
53.333333
-1.171565
1.185334
1.075911
1.078429
1.52284
2.604434
1.473181
1.078429
1.185334
0.219237
1.163008
1.468101
1.406221
0.428379
0.50717
-1.228558
3
train
H0
H04
100
100
50
45
57
2.163719
-2.04374
-2.165262
-2.182452
4.791625
5.06989
4.802919
-2.182452
2.165262
0.033275
4.763098
4.40535
4.179887
2.677043
2.738955
2.128745
3
train
H1
H04
100
100
50
57
53
-1.242138
1.158545
1.298878
1.30891
1.744049
1.77759
1.741296
1.30891
1.298878
0.230603
1.713247
1.492415
1.342137
1.621087
1.649171
-1.198808
3
train
H0
H04
150
150
50
50
41.333333
-1.354136
1.168584
1.602498
1.603203
3.011556
3.152433
2.980466
-1.354136
1.602498
0.222998
2.57026
1.81774
1.364514
3.1387
3.060612
-1.218594
3
train
H1
H04
150
150
50
52
46
-1.309322
1.322856
1.190321
1.189301
1.749816
2.735578
1.80781
1.189301
1.322856
0.167732
1.414437
1.58696
1.749856
0.498452
0.486268
-1.379528
3
train
H0
H04
200
200
50
53
54.5
0.025664
-0.043147
0.08745
0.087267
0.275857
1.06239
0.211898
0.087267
0.08745
0.78616
0.007616
0.003404
0.001861
0.145894
0.105957
0.044451
3
train
H1
H04
200
200
50
49
48
-1.794228
1.844598
1.631574
1.642063
3.302429
5.358084
3.416139
1.642063
1.844598
0.055455
2.696369
3.068497
3.416189
0.880149
0.824526
-1.915294
3
train
H0
H04
300
300
50
45
46.333333
0.375889
-0.240531
-0.679495
-0.679684
1.635617
2.347962
1.523526
-0.679684
0.679495
0.466843
0.46197
0.156061
0.05783
1.172814
1.07175
0.250606
3
train
H1
H04
300
300
50
50.666667
47.666667
-1.912169
1.928854
1.786288
1.792059
3.788246
4.501002
3.719407
-1.912169
1.928854
0.044467
3.211477
3.845328
3.726091
1.233542
1.262833
-2.009663
3
train
H0
H04
500
500
50
51
51.6
-0.351364
0.797471
-0.273059
-0.273324
5.841836
6.537304
6.009462
-0.273324
0.797471
0.049552
0.074706
0.158813
0.635947
2.565231
2.594258
-0.831096
3
train
H1
H04
500
500
50
46.8
49.4
-1.919055
2.166371
1.37592
1.382824
7.405165
7.42992
7.304492
-1.919055
2.166371
0.024772
1.912202
3.705837
4.706007
0.025511
0.021726
-2.244934
3
train
H0
H04
1,000
1,000
50
50.9
49.6
-0.266875
0.195582
0.312638
0.312941
0.100308
2.710645
0.117727
0.312941
0.312638
0.438421
0.097932
0.105694
0.03825
0.127021
0.132169
-0.203698
3
train
H1
H04
1,000
1,000
50
50.9
51
-2.708413
2.678126
2.682921
2.700001
7.358412
13.3507
7.457482
2.700001
2.682921
0.003936
7.290007
6.971127
7.189794
4.041915
3.984675
-2.788269