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
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logrank_test
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BN_GPH_test
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0
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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
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
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7,644
train
H1
H17
300
300
40
44.666667
40.333333
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1.73216
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13.219062
13.643719
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3.000593
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7,644
train
H0
H17
500
500
40
41.4
37.4
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1.285327
1.249038
1.248391
1.910287
2.946314
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7,644
train
H1
H17
500
500
40
38.6
39.6
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1.216179
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4.059448
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7,644
train
H0
H17
1,000
1,000
40
38.8
38.7
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1.105756
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4.116558
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1.105756
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1.222697
1.031694
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7,644
train
H1
H17
1,000
1,000
40
38.7
38.9
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4.35695
2.045822
2.050097
35.787847
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37.691672
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0
4.202899
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7,644
train
H0
H17
20
20
50
60
50
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0.551127
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0.303741
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1.098822
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7,644
train
H1
H17
20
20
50
50
60
0.998802
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1.073263
1.099675
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1.036248
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7,644
train
H0
H17
30
30
50
56.666667
70
0.561183
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0.340713
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7,644
train
H1
H17
30
30
50
53.333333
56.666667
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0.776622
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7,644
train
H0
H17
50
50
50
40
46
0.558202
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7,644
train
H1
H17
50
50
50
38
50
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1.183907
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7,644
train
H0
H17
75
75
50
49.333333
41.333333
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0.550489
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1.138461
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0.931115
0.334555
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7,644
train
H1
H17
75
75
50
42.666667
49.333333
0.322915
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0.096933
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0.392348
0.686675
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7,644
train
H0
H17
100
100
50
59
43
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1.896932
1.849902
1.84217
4.268268
8.850708
4.042464
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1.896932
0.031343
3.39359
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7,644
train
H1
H17
100
100
50
55
60
-0.5119
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0.503873
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0.62003
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0.242179
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7,644
train
H0
H17
150
150
50
66
56.666667
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0.622927
1.391863
1.392874
4.48523
4.536871
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1.392874
1.391863
0.103413
1.940097
0.908805
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4.795276
4.637693
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7,644
train
H1
H17
150
150
50
54.666667
50.666667
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1.901452
1.617743
1.627209
3.789721
4.96944
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1.627209
1.901452
0.049157
2.64781
3.512672
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0.619474
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7,644
train
H0
H17
200
200
50
55
47
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1.597487
1.194997
1.19345
3.154433
4.540563
2.991637
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1.597487
0.096364
1.424322
2.337367
2.550704
0.076894
0.08922
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7,644
train
H1
H17
200
200
50
50.5
47
-2.244134
2.605151
1.562715
1.563911
10.187295
10.22619
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1.563911
2.605151
0.006182
2.445819
5.121622
6.803592
0.158112
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7,644
train
H0
H17
300
300
50
50.666667
55.666667
0.942666
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7.031301
7.117577
7.053335
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1.518952
0.029403
2.31858
0.789624
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6.010243
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7,644
train
H1
H17
300
300
50
51
51.333333
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0.238124
0.139635
0.139445
0.161698
0.420096
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0.139445
0.238124
0.804384
0.019445
0.052728
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7,644
train
H0
H17
500
500
50
51.6
50.6
-0.913038
0.761579
1.073743
1.075947
1.381772
1.425621
1.37167
1.075947
1.073743
0.424395
1.157663
0.814033
0.580142
1.436269
1.416114
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7,644
train
H1
H17
500
500
50
48.8
48.4
-3.836854
4.235908
2.969137
2.999632
22.508959
22.659781
22.732142
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4.235908
0.00001
8.997792
14.706141
18.075322
0.042772
0.067113
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7,644
train
H0
H17
1,000
1,000
50
47.1
50.4
1.800145
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3.916265
5.475199
3.848369
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1.948035
0.073709
3.797553
3.126205
2.934984
2.933379
2.825504
1.788417
7,644
train
H1
H17
1,000
1,000
50
47.3
52
-2.355267
3.126469
1.162092
1.167198
20.926593
26.957552
22.452095
1.167198
3.126469
0.000006
1.362351
5.730355
9.805505
3.195305
3.276971
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7,644
train
H0
H18
20
20
0
0
0
1.812356
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5.137211
9.851235
4.909044
1.812356
2.029452
0.019874
4.673493
3.817714
3.323339
4.123418
3.910463
1.835444
7,644
train
H1
H18
20
20
0
0
0
1.244304
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2.969516
2.958638
2.904799
1.244304
1.244304
0.207613
0.304185
1.023535
1.552173
0.098518
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1.260156
7,644
train
H0
H18
30
30
0
0
0
-1.064479
1.064479
1.273608
1.275119
1.679672
2.141984
1.649021
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1.273608
0.283064
1.625929
1.342034
1.131322
1.594326
1.532586
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7,644
train
H1
H18
30
30
0
0
0
0.413964
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2.024437
2.827732
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1.014942
0.321474
1.04825
0.475354
0.170769
1.984833
2.066562
0.417457
7,644
train
H0
H18
50
50
0
0
0
0.282647
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0.182251
0.182169
1.51812
4.633519
0.93025
0.282647
0.282647
0.200685
0.033186
0.031991
0.079594
0.454154
0.341594
0.284071
7,644
train
H1
H18
50
50
0
0
0
-2.667908
2.667908
2.559844
2.638922
7.488082
7.737735
7.54223
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2.667908
0.007333
6.963912
7.510466
7.251858
3.178719
3.274232
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7,644
train
H0
H18
75
75
0
0
0
1.452748
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7.843323
8.111906
7.526092
1.452748
1.452748
0.023213
0.032023
1.04474
2.117501
1.242594
1.118714
1.447865
7,644
train
H1
H18
75
75
0
0
0
1.512888
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3.389247
3.526111
3.325633
1.512888
1.512888
0.131605
0.708255
1.657052
2.297456
0.001756
0.001882
1.507803
7,644
train
H0
H18
100
100
0
0
0
-0.13683
0.13683
0.423157
0.420061
0.297111
0.25904
0.391944
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0.423157
0.822035
0.176451
0.084858
0.018695
0.394362
0.381625
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7,644
train
H1
H18
100
100
0
0
0
1.439156
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3.032569
5.358768
2.498903
1.439156
1.439156
0.147334
0.897807
1.769172
2.072698
0.036998
0.080353
1.442767
7,644
train
H0
H18
150
150
0
0
0
0.268886
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0.418443
1.84183
0.28979
0.268886
0.463276
0.605875
0.213898
0.094503
0.072206
0.261627
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0.269335
7,644
train
H1
H18
150
150
0
0
0
0.800001
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0.948554
1.230827
0.906248
0.800001
0.952894
0.422936
0.903015
0.687387
0.639552
0.668884
0.635931
0.801338
7,644
train
H0
H18
200
200
0
0
0
-2.561102
2.561102
2.249343
2.258175
6.451208
7.335619
6.591503
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2.561102
0.010338
5.099355
6.398161
6.589093
1.630748
1.608283
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7,644
train
H1
H18
200
200
0
0
0
3.076609
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8.584672
10.875943
10.008527
3.076609
3.076609
0.002067
5.494158
7.853997
9.528745
1.085301
1.06392
3.080462
7,644
train
H0
H18
300
300
0
0
0
-0.718765
0.718765
0.259758
0.259382
0.336992
3.55907
1.05906
0.259382
0.718765
0.313181
0.067279
0.18473
0.516675
0.076994
0.103478
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7,644
train
H1
H18
300
300
0
0
0
1.164813
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0.044645
0.044674
4.471451
8.718609
5.962326
1.164813
1.164813
0.033276
0.001996
0.45612
1.357653
1.501049
1.606887
1.165785
7,644
train
H0
H18
500
500
0
0
0
-1.912567
1.912567
1.802071
1.801875
3.689942
4.085889
3.742373
-1.912567
1.912567
0.055681
3.246753
3.747924
3.660833
1.435546
1.419841
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7,644
train
H1
H18
500
500
0
0
0
2.971553
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16.288994
15.916205
16.272711
2.971553
2.971553
0.000293
1.532455
5.855578
8.851753
0.543384
0.495003
2.97304
7,644
train
H0
H18
1,000
1,000
0
0
0
-1.042889
1.042889
-0.198893
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6.356892
6.536226
6.034935
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1.042889
0.048925
0.039626
0.416932
1.087687
2.005738
1.972757
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7,644
train
H1
H18
1,000
1,000
0
0
0
0.759999
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0.443409
0.44314
3.316013
3.312356
5.458484
0.759999
0.759999
0.065269
0.196373
0.025876
0.577828
2.301201
2.283204
0.760189