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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logrank_test
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0
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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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MIN3_test
float64
0
1
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84.2
WLg_TaroneWare_test
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0
99.4
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0
106
WLg_PetoPrentice_test
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71.9
WLg_Prentice_test
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0
71.6
WKM_test
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7,644
train
H1
H22
300
300
50
52
45
-2.110815
1.930042
2.473034
2.486275
7.120051
8.743953
6.896526
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2.473034
0.031801
6.181562
4.369602
3.731846
6.535437
6.481765
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7,644
train
H0
H22
500
500
50
50.2
53.8
0.776764
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2.814726
3.183488
2.944812
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1.196321
0.229373
1.429656
0.680626
0.253528
2.711611
2.707092
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7,644
train
H1
H22
500
500
50
49
50
-1.07269
1.152314
1.232356
1.236445
1.782667
3.553993
1.635652
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1.232356
0.203396
1.528796
1.068049
1.335287
1.341496
1.453463
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7,644
train
H0
H22
1,000
1,000
50
52.5
49.2
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1.55371
1.696326
1.695756
2.889822
2.952839
2.88697
1.695756
1.696326
0.080133
2.875588
2.765559
2.435156
1.866535
1.935216
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7,644
train
H1
H22
1,000
1,000
50
52.9
46.3
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3.116404
3.089131
3.090985
9.568168
11.964809
9.631411
3.090985
3.116404
0.000614
9.554188
9.180552
9.719798
5.689181
5.65557
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7,644
train
H0
H23
20
20
0
0
0
1.244304
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1.509139
2.161101
1.602731
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1.244304
0.207613
0.987313
1.360617
1.551035
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1.260156
7,644
train
H1
H23
20
20
0
0
0
1.352504
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2.404551
2.789958
2.203425
1.352504
1.352504
0.17077
0.851251
1.539811
1.835536
0.039657
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1.369735
7,644
train
H0
H23
30
30
0
0
0
1.108832
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1.02465
2.166282
1.253261
1.108832
1.108832
0.263486
0.813313
0.987929
1.228501
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1.118189
7,644
train
H1
H23
30
30
0
0
0
-0.280904
0.280904
0.356944
0.352845
0.20136
2.706538
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0.356944
0.439117
0.1245
0.06694
0.078431
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7,644
train
H0
H23
50
50
0
0
0
0.93756
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3.939377
4.366518
4.268855
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1.646806
0.118312
2.808179
1.681128
0.87937
4.047907
4.096677
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7,644
train
H1
H23
50
50
0
0
0
-2.302536
2.302536
1.308971
1.309795
7.286988
7.06617
7.56072
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2.302536
0.02066
1.715563
3.911547
5.369013
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7,644
train
H0
H23
75
75
0
0
0
-0.539377
0.539377
0.598093
0.592765
0.355197
0.531708
0.353463
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0.598093
0.590878
0.35137
0.353721
0.290455
0.272167
0.25071
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7,644
train
H1
H23
75
75
0
0
0
-0.930285
0.930285
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3.405751
4.296436
4.398454
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0.930285
0.110889
0.010885
0.241151
0.867379
1.433663
1.427971
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7,644
train
H0
H23
100
100
0
0
0
-1.006676
1.006676
0.632517
0.631308
1.258944
1.663992
1.275674
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1.006676
0.312878
0.398549
0.750796
1.01363
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7,644
train
H1
H23
100
100
0
0
0
0.945591
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1.441539
2.676325
1.528732
0.945591
0.945591
0.343148
0.188448
0.623308
0.894247
0.038203
0.051131
0.947964
7,644
train
H0
H23
150
150
0
0
0
1.745094
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3.107675
3.81011
3.213208
1.745094
1.745094
0.080462
2.958274
3.115521
3.05153
1.503451
1.459313
1.74801
7,644
train
H1
H23
150
150
0
0
0
0.230283
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1.348036
1.954181
1.792261
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0.846963
0.408146
0.716355
0.294455
0.052997
1.535874
1.561119
0.230668
7,644
train
H0
H23
200
200
0
0
0
-0.796614
0.796614
0.814612
0.814103
0.70276
2.922542
0.694243
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0.814612
0.403723
0.662763
0.511762
0.634273
0.402022
0.351081
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7,644
train
H1
H23
200
200
0
0
0
-0.036328
0.036328
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2.161754
3.326801
3.09189
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0.834109
0.21311
0.69577
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0.00132
2.277493
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7,644
train
H0
H23
300
300
0
0
0
0.360795
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0.432112
0.571056
0.283279
0.360795
0.360795
0.718027
0.014002
0.110777
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0.028125
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0.361096
7,644
train
H1
H23
300
300
0
0
0
0.383404
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13.466092
13.472228
12.896514
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1.997246
0.001583
4.112896
1.02604
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10.559966
10.412333
0.383724
7,644
train
H0
H23
500
500
0
0
0
-1.243585
1.243585
1.003977
1.002135
1.624404
1.626901
1.569874
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1.243585
0.213423
1.004275
1.443186
1.546612
0.245996
0.271092
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7,644
train
H1
H23
500
500
0
0
0
-0.109052
0.109052
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4.918056
6.30292
3.664357
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0.83924
0.097767
0.709263
0.019771
0.01189
2.551059
2.460906
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7,644
train
H0
H23
1,000
1,000
0
0
0
0.335626
-0.335626
-1.042363
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1.419136
8.864965
2.402173
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1.042363
0.031141
1.088047
0.572439
0.112645
2.174527
2.286592
0.33571
7,644
train
H1
H23
1,000
1,000
0
0
0
-0.41903
0.41903
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18.776281
17.700921
19.213804
-0.41903
1.758807
0.000067
3.13216
0.181284
0.175659
12.71083
12.60373
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7,644
train
H0
H23
20
20
10
10
5
0.61203
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0.415949
0.613818
0.387054
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0.612796
0.542147
0.362061
0.401228
0.355502
0.133538
0.142419
0.60957
7,644
train
H1
H23
20
20
10
15
10
-0.263136
0.24123
0.334046
0.325986
0.1085
1.233295
0.111348
0.325986
0.334046
0.74503
0.106267
0.114597
0.065032
0.169233
0.284417
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7,644
train
H0
H23
30
30
10
6.666667
0
1.708449
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-0.967934
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4.712955
4.806093
4.453796
1.708449
1.727674
0.081319
0.936346
2.260647
3.013712
0.00299
0.006284
1.743084
7,644
train
H1
H23
30
30
10
6.666667
20
0.440874
-0.377384
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-0.621854
0.390341
2.731935
0.461422
0.440874
0.631929
0.434828
0.386703
0.301535
0.14168
0.411756
0.577837
0.385359
7,644
train
H0
H23
50
50
10
6
12
1.184518
-1.153739
-1.516512
-1.514958
2.523269
2.800864
2.450552
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1.516512
0.240556
2.295099
1.686206
1.329201
2.068821
1.986019
1.173597
7,644
train
H1
H23
50
50
10
6
10
-0.4295
0.465197
-0.26985
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2.555293
2.748806
2.283284
-0.4295
0.465197
0.319294
0.07188
0.054726
0.216152
1.01214
0.877381
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7,644
train
H0
H23
75
75
10
6.666667
5.333333
-0.351294
0.336924
0.73987
0.738028
0.816573
2.068545
0.989229
0.738028
0.73987
0.558302
0.544685
0.292686
0.113257
1.032739
1.156391
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7,644
train
H1
H23
75
75
10
4
12
1.291141
-1.307614
-0.93707
-0.929519
1.849029
1.913434
1.887035
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1.307614
0.190744
0.864005
1.448391
1.7097
0.077111
0.098586
1.30838
7,644
train
H0
H23
100
100
10
11
9
0.872403
-0.837114
-1.144434
-1.143954
1.361733
1.414079
1.403177
-1.143954
1.144434
0.394769
1.30863
1.001096
0.696196
1.235079
1.253919
0.851
7,644
train
H1
H23
100
100
10
8
12
1.338433
-1.31474
-1.155792
-1.150648
1.959346
2.200321
1.795829
-1.150648
1.31474
0.17708
1.323991
1.833468
1.729132
0.426364
0.43388
1.349802
7,644
train
H0
H23
150
150
10
8
13.333333
0.410899
-0.343247
-0.984779
-0.980619
1.566961
1.679475
1.914415
-0.980619
0.984779
0.383964
0.961614
0.440368
0.117785
1.756131
1.756663
0.351889
7,644
train
H1
H23
150
150
10
8
9.333333
-1.16076
1.188403
0.349108
0.349555
3.796263
3.991308
3.51025
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1.188403
0.172886
0.122189
0.845605
1.414691
0.428957
0.357714
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7,644
train
H0
H23
200
200
10
10.5
12.5
-0.258386
0.285619
0.128309
0.12796
0.023618
2.791926
0.117075
-0.258386
0.285619
0.424831
0.016374
0.006603
0.08214
0.003963
0.015101
-0.291782
7,644
train
H1
H23
200
200
10
12
16
0.760034
-0.699
-1.511098
-1.510693
3.654537
3.628411
3.939757
-1.510693
1.511098
0.139474
2.282193
1.133623
0.485206
3.75087
3.685265
0.722287
7,644
train
H0
H23
300
300
10
11.666667
10.666667
-0.768121
0.795822
0.590744
0.589949
0.417939
2.329661
0.629722
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0.795822
0.416269
0.34804
0.425682
0.634844
0.061935
0.044171
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7,644
train
H1
H23
300
300
10
10.333333
8.666667
-0.021942
0.006428
0.247374
0.246871
0.181249
0.625932
0.238051
0.246871
0.247374
0.887785
0.060945
0.012847
0.000048
0.200804
0.217884
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7,644
train
H0
H23
500
500
10
8.6
9
1.530852
-1.546639
-1.116748
-1.11695
2.499678
2.44939
2.580556
1.530852
1.546639
0.114537
1.247577
1.980616
2.390864
0.139861
0.166534
1.578127
7,644
train
H1
H23
500
500
10
10.2
8.2
0.102187
-0.007753
-2.052167
-2.083214
20.157221
19.588927
20.299643
-2.083214
2.052167
0.000039
4.339779
0.698553
0.000052
14.889868
14.776677
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7,644
train
H0
H23
1,000
1,000
10
8.4
11.1
1.142028
-1.142433
-0.621401
-0.622646
2.800766
3.718092
1.993387
1.142028
1.142433
0.244674
0.387688
1.193379
1.304347
0.009078
0.006327
1.163384
7,644
train
H1
H23
1,000
1,000
10
10.2
10.3
-0.966205
1.062571
-0.97882
-0.984808
19.8475
22.003073
17.59018
-0.966205
1.062571
0.000065
0.969846
0.152225
1.130008
8.918699
8.774015
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