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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logrank_test
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CoxMantel_test
float64
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BN_GPH_test
float64
0
109
BN_MCE_test
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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
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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
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train
H1
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H1
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train
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train
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train
H1
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train
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train
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train
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7,649
train
H1
H12
300
300
40
37.666667
42
1.082848
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7,649
train
H0
H12
500
500
40
38
38
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7.022865
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7,649
train
H1
H12
500
500
40
39.8
40.6
0.246594
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7,649
train
H0
H12
1,000
1,000
40
38.8
40.1
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7,649
train
H1
H12
1,000
1,000
40
42.7
41
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1.687074
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7,649
train
H0
H12
20
20
50
50
60
1.47544
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2.794902
3.338852
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7,649
train
H1
H12
20
20
50
45
50
1.430626
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1.563952
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7,649
train
H0
H12
30
30
50
50
46.666667
0.018927
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7,649
train
H1
H12
30
30
50
60
40
-2.177683
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4.742772
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4.11217
4.399129
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7,649
train
H0
H12
50
50
50
56
40
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1.20817
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1.582396
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1.293762
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1.440044
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7,649
train
H1
H12
50
50
50
38
40
-0.029991
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3.225218
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0.173866
0.276876
0.005869
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1.869552
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7,649
train
H0
H12
75
75
50
45.333333
53.333333
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3.399107
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0.196115
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1.708535
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7,649
train
H1
H12
75
75
50
61.333333
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2.513064
9.242901
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2.466594
0.009751
6.315488
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10.298936
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7,649
train
H0
H12
100
100
50
56
46
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0.784591
1.109602
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0.611343
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0.689199
0.37374
0.122146
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7,649
train
H1
H12
100
100
50
46
51
0.441445
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1.17943
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0.50273
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0.021876
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7,649
train
H0
H12
150
150
50
46
55.333333
1.579445
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2.890849
3.576782
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1.680402
0.128009
2.828153
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7,649
train
H1
H12
150
150
50
48.666667
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1.447366
1.393552
1.399382
2.490448
2.897464
2.383855
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1.447366
0.126403
1.958269
2.395017
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7,649
train
H0
H12
200
200
50
51.5
48
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0.049299
0.479907
0.479397
1.168848
1.863321
1.085424
0.479397
0.479907
0.58117
0.229821
0.038292
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0.930262
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7,649
train
H1
H12
200
200
50
49
51.5
0.00729
0.049692
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0.178624
0.759225
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0.859193
0.012368
0.000026
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0.067229
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7,649
train
H0
H12
300
300
50
54.333333
46
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1.25256
2.007391
2.009582
5.444711
5.909416
5.562004
2.009582
2.007391
0.061976
4.038421
2.613594
1.568923
5.768458
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7,649
train
H1
H12
300
300
50
47.333333
49.333333
0.308544
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0.031029
0.031014
1.229563
3.202404
1.451446
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0.542054
0.361459
0.000962
0.069678
0.293759
0.518325
0.539966
0.568583
7,649
train
H0
H12
500
500
50
51.4
50
-0.98993
0.914316
1.045751
1.0447
1.093887
1.125568
1.094477
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1.045751
0.336442
1.091397
0.962219
0.836256
0.816519
0.899
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7,649
train
H1
H12
500
500
50
52.4
48.6
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0.984613
1.293936
1.293655
1.707015
5.363802
1.771835
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1.293936
0.147016
1.673543
1.549451
0.969667
1.548152
1.58895
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7,649
train
H0
H12
1,000
1,000
50
50.6
50.8
0.304462
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0.100738
0.130975
0.110006
0.304462
0.348666
0.71366
0.065134
0.091369
0.121551
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0.366946
7,649
train
H1
H12
1,000
1,000
50
50
47
-0.448442
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1.435882
1.437259
12.257183
12.558793
12.824149
1.437259
1.435882
0.001642
2.065713
0.263878
0.033567
9.020333
8.853759
0.190793
7,649
train
H0
H13
20
20
0
0
0
-0.973803
0.973803
1.298015
1.322706
2.255572
3.953372
2.047091
1.322706
1.298015
0.266543
1.749552
1.1929
0.946676
2.254458
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7,649
train
H1
H13
20
20
0
0
0
0.378701
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2.215036
3.69383
1.916029
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0.901418
0.296479
0.823659
0.332705
0.142184
1.452219
1.272621
0.383526
7,649
train
H0
H13
30
30
0
0
0
0.443533
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0.618207
0.627185
6.070958
6.216418
5.773212
0.443533
0.618207
0.055765
0.393361
0.000169
0.196324
2.901154
2.680776
0.447276
7,649
train
H1
H13
30
30
0
0
0
0.295689
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0.370028
4.647149
0.112898
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0.295689
0.199534
0.034832
0.120086
0.08699
0.00075
0.010094
0.298184
7,649
train
H0
H13
50
50
0
0
0
-0.103407
0.103407
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3.430985
13.139127
2.172394
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0.554009
0.004345
0.317032
0.003223
0.010664
1.436687
1.203492
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7,649
train
H1
H13
50
50
0
0
0
0.365372
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2.233123
4.770987
1.749612
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0.900724
0.189355
0.822367
0.281381
0.13307
1.500229
1.332543
0.367213
7,649
train
H0
H13
75
75
0
0
0
0.381511
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0.192709
0.553969
0.184063
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0.431398
0.703776
0.183894
0.190392
0.145282
0.10587
0.141945
0.380228
7,649
train
H1
H13
75
75
0
0
0
-1.877485
1.877485
0.844242
0.845442
6.642928
6.575896
6.319137
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1.877485
0.042444
0.714772
2.406666
3.54283
0.313135
0.226381
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7,649
train
H0
H13
100
100
0
0
0
-0.960252
0.960252
1.618037
1.638766
4.088262
4.380717
3.776277
1.638766
1.618037
0.151353
2.685554
1.449491
0.921509
3.898532
3.805526
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7,649
train
H1
H13
100
100
0
0
0
0.43981
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1.415835
1.368288
1.469295
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0.933594
0.479675
0.870166
0.433593
0.193274
1.366277
1.300873
0.440914
7,649
train
H0
H13
150
150
0
0
0
-0.145092
0.145092
0.182336
0.181818
0.176902
2.838959
0.033806
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0.182336
0.417127
0.033058
0.003929
0.021028
0.040631
0.020356
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7,649
train
H1
H13
150
150
0
0
0
-0.383362
0.383362
0.287261
0.285586
0.105348
0.342174
0.155934
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0.383362
0.700977
0.08156
0.102137
0.146778
0.020614
0.014209
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7,649
train
H0
H13
200
200
0
0
0
0.434202
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-1.157986
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2.340029
3.190428
2.732075
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1.157986
0.255116
1.345199
0.575053
0.188446
2.501049
2.536091
0.434746
7,649
train
H1
H13
200
200
0
0
0
0.743853
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2.232912
4.053094
1.889616
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1.208095
0.255788
1.468206
0.792634
0.553036
1.799886
1.696303
0.744784
7,649
train
H0
H13
300
300
0
0
0
1.052241
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1.23996
1.629576
1.190238
1.052241
1.058474
0.292286
1.11663
1.212353
1.107074
0.57598
0.63572
1.053119
7,649
train
H1
H13
300
300
0
0
0
1.883107
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8.400269
8.671703
8.293731
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2.667462
0.015814
7.287029
5.051587
3.551059
7.950491
7.849653
1.884678
7,649
train
H0
H13
500
500
0
0
0
-1.329863
1.329863
0.666249
0.666829
3.932364
5.045466
2.743757
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1.329863
0.168498
0.444661
1.534202
1.769313
0.043352
0.031767
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7,649
train
H1
H13
500
500
0
0
0
1.849939
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11.920951
11.701547
11.97297
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3.002933
0.002512
9.209907
5.675567
3.426235
11.797506
11.697046
1.850865
7,649
train
H0
H13
1,000
1,000
0
0
0
0.824352
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3.825574
3.861357
3.724053
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1.578892
0.155358
2.499719
1.249203
0.679534
3.645343
3.633834
0.824558
7,649
train
H1
H13
1,000
1,000
0
0
0
0.392158
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14.030263
14.652636
17.417122
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2.37536
0.000165
5.699833
1.733733
0.153878
14.424193
14.367885
0.392256