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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0
109
BN_MCE_test
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143
BN_SCE_test
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Q_test
float64
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MAX_Value_test
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0
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MIN3_test
float64
0
1
WLg_logrank_test
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
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10.7
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train
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7,648
train
H1
H26
300
300
30
31.666667
30.666667
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3.400215
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7,648
train
H0
H26
500
500
30
28.6
28.8
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0.879383
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2.395716
2.368451
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7,648
train
H1
H26
500
500
30
32
28
0.009767
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1.692306
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7,648
train
H0
H26
1,000
1,000
30
31
29.2
0.306345
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7,648
train
H1
H26
1,000
1,000
30
29.5
32.4
1.720371
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2.607637
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2.606337
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3.727956
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7,648
train
H0
H26
20
20
40
20
40
2.158848
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10.292973
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10.320353
2.158848
2.346318
0.005741
2.029376
4.025386
5.656035
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2.41804
7,648
train
H1
H26
20
20
40
35
35
0.044218
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0.47614
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0.459991
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0.794537
0.043119
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7,648
train
H0
H26
30
30
40
60
40
-1.489098
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1.247291
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2.648112
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1.543044
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7,648
train
H1
H26
30
30
40
16.666667
26.666667
0.598975
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1.016773
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7,648
train
H0
H26
50
50
40
36
30
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5.282191
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0.064896
0.300093
0.012292
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2.8822
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7,648
train
H1
H26
50
50
40
32
28
0.581612
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1.383735
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7,648
train
H0
H26
75
75
40
41.333333
37.333333
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0.284712
0.653732
0.648025
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1.968305
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0.653732
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0.419937
0.260198
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7,648
train
H1
H26
75
75
40
41.333333
41.333333
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3.351727
0.248649
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0.340508
0.048185
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7,648
train
H0
H26
100
100
40
52
43
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0.496075
1.431094
1.44128
4.961317
5.000947
4.993106
1.44128
1.431094
0.082368
2.077288
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7,648
train
H1
H26
100
100
40
45
45
-0.363422
0.28925
0.446354
0.446726
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1.148906
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0.446354
0.755722
0.199565
0.15762
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7,648
train
H0
H26
150
150
40
41.333333
34
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0.53027
0.530267
0.71823
0.981659
0.649722
0.530267
0.735461
0.439511
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0.500628
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7,648
train
H1
H26
150
150
40
35.333333
33.333333
0.757254
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1.251941
1.554765
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0.757254
0.92241
0.333412
0.130239
0.430438
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7,648
train
H0
H26
200
200
40
39.5
39
-0.126353
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0.573941
0.572863
1.762103
1.850177
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0.572863
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0.431224
0.328172
0.034929
0.000142
1.325666
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0.008921
7,648
train
H1
H26
200
200
40
43
42.5
0.077014
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0.711901
0.713148
4.127717
13.585289
5.367527
0.713148
0.711901
0.003528
0.50858
0.010334
0.262753
3.061191
3.451047
0.549759
7,648
train
H0
H26
300
300
40
39.666667
42.666667
0.165813
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0.141981
0.141882
0.549694
2.443169
0.74115
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0.315592
0.485649
0.020131
0.018845
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0.341679
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7,648
train
H1
H26
300
300
40
33.666667
42.333333
1.696199
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4.52637
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4.793432
1.696199
1.916669
0.042215
1.184379
2.513586
3.671908
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2.031394
7,648
train
H0
H26
500
500
40
39.8
42
0.038087
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0.216171
0.263262
0.185341
0.038087
0.190668
0.911494
0.036365
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0.000326
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0.020047
7,648
train
H1
H26
500
500
40
40
41.6
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0.66347
0.664017
0.599171
6.735647
0.993934
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0.66347
0.080818
0.440919
0.190194
0.000616
0.919225
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0.02675
7,648
train
H0
H26
1,000
1,000
40
40.9
39.3
-0.257535
0.18351
0.301726
0.301796
0.100092
2.460747
0.095435
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0.301726
0.482427
0.091081
0.069536
0.033691
0.085561
0.106123
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7,648
train
H1
H26
1,000
1,000
40
40.7
42
1.082791
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7.177727
8.014715
8.405995
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1.615606
0.014951
0.002895
0.876363
2.611016
2.407448
2.385071
1.724714
7,648
train
H0
H26
20
20
50
65
55
-0.911038
0.970423
0.885217
0.860487
0.787692
3.764212
0.814398
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0.970423
0.242616
0.740438
0.783118
0.982801
0.504134
0.368587
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7,648
train
H1
H26
20
20
50
35
35
-0.013502
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0.713988
1.408135
0.596653
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0.270533
0.703629
0.070457
0.007476
0.007757
0.347958
0.227504
0.093104
7,648
train
H0
H26
30
30
50
43.333333
43.333333
1.388582
-1.394482
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2.145241
3.193365
2.140398
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1.428043
0.128744
2.140393
2.022564
1.920839
1.104056
1.050585
1.519073
7,648
train
H1
H26
30
30
50
53.333333
46.666667
0.843281
-1.062297
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0.650594
3.587628
0.765512
0.843281
1.062297
0.238358
0.544008
0.809832
1.094797
0.025006
0.007954
1.179101
7,648
train
H0
H26
50
50
50
52
48
-1.277732
1.102675
1.362388
1.371538
1.885219
1.883048
1.887142
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1.362388
0.238362
1.881118
1.578582
1.218397
1.339792
1.480743
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7,648
train
H1
H26
50
50
50
54
48
0.516112
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1.094696
0.988554
1.147535
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0.749792
0.421125
0.037391
0.24298
0.561988
0.272886
0.251808
0.80447
7,648
train
H0
H26
75
75
50
58.666667
45.333333
-0.980156
0.983047
0.859141
0.854428
1.030672
1.05028
1.023061
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0.983047
0.280423
0.730048
0.984498
0.964031
0.205777
0.255176
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7,648
train
H1
H26
75
75
50
50.666667
42.666667
-1.017048
1.150801
0.508803
0.505522
2.852895
2.890871
2.790846
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1.150801
0.205477
0.255553
0.921291
1.320256
0.239335
0.20146
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7,648
train
H0
H26
100
100
50
47
47
-0.858388
0.980999
0.597103
0.595748
1.428754
1.677751
1.35704
0.595748
0.980999
0.29901
0.354916
0.762543
0.963046
0.000043
0.000787
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7,648
train
H1
H26
100
100
50
42
55
1.507464
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2.341564
2.791172
2.309543
1.507464
1.505609
0.122332
2.233623
2.3022
2.026171
1.073166
1.23737
1.545061
7,648
train
H0
H26
150
150
50
56
52.666667
0.159031
0.085984
-0.616662
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2.831242
3.056492
2.803369
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0.616662
0.246182
0.392676
0.014895
0.007387
2.08723
2.068746
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7,648
train
H1
H26
150
150
50
47.333333
54
0.914742
-1.356346
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1.543037
10.932403
2.352024
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1.356346
0.012097
0.24758
0.760694
1.841183
0.138058
0.239178
1.472878
7,648
train
H0
H26
200
200
50
50.5
54
0.858235
-0.857693
-0.708153
-0.705601
0.895842
1.123187
0.839529
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0.857693
0.351091
0.497872
0.729341
0.735408
0.036529
0.064518
0.932475
7,648
train
H1
H26
200
200
50
48.5
49.5
-0.500059
0.20085
0.519683
0.519164
0.305632
2.844403
0.270116
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0.519683
0.416243
0.269531
0.237089
0.040355
0.1722
0.202098
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7,648
train
H0
H26
300
300
50
49.333333
52.333333
-0.032042
0.204345
-0.472891
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3.200364
7.586372
2.622978
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0.472891
0.05538
0.222827
0.002975
0.041729
1.667325
1.430343
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7,648
train
H1
H26
300
300
50
50
46.666667
0.026587
-0.358734
0.442564
0.44139
1.847983
2.013817
2.025863
0.026587
0.442564
0.363153
0.194825
0.000026
0.128358
1.391837
1.335297
0.386802
7,648
train
H0
H26
500
500
50
49.6
54.4
0.129623
-0.255772
-0.305583
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0.621891
4.395054
0.37216
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0.305583
0.221844
0.093455
0.021218
0.06542
0.320772
0.266258
0.274403
7,648
train
H1
H26
500
500
50
49
48.8
-0.144664
-0.052618
0.287033
0.286705
0.170157
0.589001
0.223405
-0.144664
0.287033
0.89431
0.0822
0.024677
0.002769
0.221769
0.242105
0.056889
7,648
train
H0
H26
1,000
1,000
50
48.7
52
1.216913
-1.334668
-0.781239
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3.106952
4.002795
2.837552
1.216913
1.334668
0.150774
0.611485
1.499343
1.78088
0.046107
0.034855
1.436803
7,648
train
H1
H26
1,000
1,000
50
48.7
47.4
-0.112729
-0.133793
-0.108236
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1.022081
6.933192
0.432272
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0.133793
0.074058
0.011738
0.018935
0.0179
0.247317
0.204865
0.14423