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
float64
0
143
BN_SCE_test
float64
0
114
Q_test
float64
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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
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10.7
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2.042613
2.045552
1.641433
7,643
train
H1
H29
300
300
0
0
0
1.050357
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0.46643
6.016419
2.114152
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1.050357
0.110814
0.177067
0.32495
1.105635
0.082814
0.110044
1.051234
7,643
train
H0
H29
500
500
0
0
0
1.612347
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3.587762
3.787756
3.589862
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1.889095
0.106711
3.585328
3.311035
2.600932
2.806976
2.757763
1.613153
7,643
train
H1
H29
500
500
0
0
0
2.611988
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6.511734
13.111647
11.391875
2.611988
2.611988
0.00336
1.455982
3.597597
6.841093
0.206788
0.234274
2.613295
7,643
train
H0
H29
1,000
1,000
0
0
0
-0.530931
0.530931
0.769474
0.768776
0.649089
0.688534
0.664738
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0.769474
0.595375
0.591016
0.404145
0.281844
0.655895
0.648062
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7,643
train
H1
H29
1,000
1,000
0
0
0
3.432929
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10.786587
14.035408
18.710565
3.432929
3.432929
0.000087
2.807645
6.285653
11.819612
0.192552
0.18554
3.433787
7,643
train
H0
H29
20
20
10
5
25
0.926775
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0.889763
1.813898
0.913076
0.926775
0.964442
0.344536
0.8873
0.813978
0.81399
0.40605
0.32014
0.945241
7,643
train
H1
H29
20
20
10
5
10
0.151264
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0.103506
0.097191
0.109007
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0.263591
0.867698
0.067858
0.046577
0.026388
0.063361
0.059764
0.166584
7,643
train
H0
H29
30
30
10
6.666667
3.333333
-0.783248
0.763462
1.291564
1.326151
3.77554
15.616223
2.926201
1.326151
1.291564
0.001359
1.758676
0.853808
0.581782
2.878578
2.586724
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7,643
train
H1
H29
30
30
10
10
6.666667
-0.087925
0.07439
0.92402
0.933806
3.855454
4.27893
4.234782
0.933806
0.92402
0.120345
0.871993
0.210993
0.005528
3.085111
3.071538
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7,643
train
H0
H29
50
50
10
10
6
-0.050038
0.034646
0.27904
0.27694
0.487752
2.503576
0.279475
0.27694
0.27904
0.474645
0.076696
0.004654
0.001196
0.269452
0.186765
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7,643
train
H1
H29
50
50
10
6
14
2.04212
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-1.538641
-1.541762
4.382774
4.728066
4.723931
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2.046953
0.039055
2.377029
3.473881
4.223592
0.325887
0.353308
2.063605
7,643
train
H0
H29
75
75
10
18.666667
12
-0.384965
0.446186
-0.34229
-0.346441
4.556406
13.566085
3.41828
-0.384965
0.446186
0.003559
0.120022
0.052109
0.198714
1.743227
1.510364
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7,643
train
H1
H29
75
75
10
16
16
-0.033127
0.063068
-0.211274
-0.210797
0.317198
0.555636
0.337111
-0.210797
0.211274
0.844885
0.044435
0.002147
0.003968
0.169641
0.203056
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7,643
train
H0
H29
100
100
10
17
9
-1.096967
1.054965
1.314975
1.312206
1.735907
2.421088
1.765436
1.312206
1.314975
0.285497
1.721883
1.441728
1.111843
1.576654
1.757193
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7,643
train
H1
H29
100
100
10
17
16
1.518862
-1.537443
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-1.053055
2.895387
2.608884
3.021121
1.518862
1.537443
0.119275
1.108924
1.838232
2.368677
0.043299
0.070841
1.557823
7,643
train
H0
H29
150
150
10
6.666667
9.333333
-0.435956
0.465439
-0.36537
-0.364473
2.880779
2.682214
2.904182
-0.435956
0.465439
0.23408
0.13284
0.024384
0.216443
1.322678
1.227231
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7,643
train
H1
H29
150
150
10
8.666667
8.666667
2.31736
-2.379977
-0.892743
-0.8957
10.446581
9.93461
12.149836
2.31736
2.379977
0.0023
0.802278
3.124271
5.710994
0.660665
0.593992
2.409084
7,643
train
H0
H29
200
200
10
6.5
9
1.148542
-1.139537
-1.028076
-1.026771
1.467078
2.130227
1.31893
1.148542
1.139537
0.251132
1.054258
1.365814
1.298309
0.372701
0.428792
1.147604
7,643
train
H1
H29
200
200
10
5.5
8
0.904402
-0.920456
-0.601341
-0.60059
0.429247
3.865309
1.002723
0.904402
0.920456
0.27638
0.360708
0.399872
0.848438
0.014119
0.003923
0.927013
7,643
train
H0
H29
300
300
10
10.666667
10.666667
0.606857
-0.577686
-1.021722
-1.023943
1.956978
4.188632
1.555842
-1.023943
1.021722
0.241802
1.048459
0.466009
0.33358
1.500356
1.42326
0.582967
7,643
train
H1
H29
300
300
10
9.666667
12.333333
3.657904
-3.693675
-2.828636
-2.845977
12.352402
21.475228
14.496814
3.657904
3.693675
0.000084
8.099585
10.8783
13.723903
1.592559
1.519849
3.727533
7,643
train
H0
H29
500
500
10
12
12.4
0.865128
-0.890187
-0.658977
-0.658381
0.532964
2.976931
0.818892
0.865128
0.890187
0.369313
0.433466
0.531124
0.79248
0.059016
0.04993
0.89776
7,643
train
H1
H29
500
500
10
8
11.8
3.54324
-3.607671
-2.352785
-2.359064
10.400456
40.532192
15.847082
3.54324
3.607671
0
5.565182
8.378167
13.075953
0.264073
0.21989
3.636796
7,643
train
H0
H29
1,000
1,000
10
11.4
10.3
-0.722194
0.700765
0.958062
0.957618
0.930027
1.330128
1.007385
0.957618
0.958062
0.480361
0.917033
0.791808
0.491061
0.964791
0.985583
-0.705721
7,643
train
H1
H29
1,000
1,000
10
10.3
10.5
2.835494
-2.917049
-1.743807
-1.746719
6.086151
34.423929
11.064621
2.835494
2.917049
0
3.051027
4.748393
8.527057
0.016644
0.009184
2.942235
7,643
train
H0
H29
20
20
20
15
25
-0.484312
0.4247
0.741335
0.758751
0.910016
1.861183
1.004269
-0.484312
0.741335
0.601712
0.575703
0.362318
0.181123
1.176778
1.267254
-0.432151
7,643
train
H1
H29
20
20
20
10
10
0.515453
-0.544823
-0.068047
-0.066906
1.361594
2.059985
1.147216
-0.066906
0.544823
0.56005
0.004476
0.15283
0.294442
0.30539
0.210237
0.524609
7,643
train
H0
H29
30
30
20
16.666667
10
0.722311
-0.73157
-0.505845
-0.501134
0.574874
1.069604
0.6516
0.722311
0.73157
0.459802
0.251135
0.429458
0.534026
0.002266
0.001007
0.739173
7,643
train
H1
H29
30
30
20
26.666667
23.333333
0.148756
-0.241207
0.34059
0.339262
1.310299
1.850428
1.574062
0.148756
0.34059
0.455194
0.115099
0.000546
0.058168
0.972009
1.01798
0.242005
7,643
train
H0
H29
50
50
20
20
14
-1.640664
1.660639
1.279218
1.280997
2.880586
3.405563
3.025388
-1.640664
1.660639
0.091746
1.640954
2.331915
2.777189
0.188802
0.186366
-1.686257
7,643
train
H1
H29
50
50
20
24
16
-1.104331
1.074248
1.633776
1.660824
3.617827
8.128546
4.124314
-1.104331
1.633776
0.043428
2.758336
2.072506
1.163049
4.131203
4.369739
-1.090134
7,643
train
H0
H29
75
75
20
22.666667
17.333333
0.363479
-0.4125
-0.079132
-0.078639
0.279458
2.018319
0.545287
-0.078639
0.4125
0.568613
0.006184
0.048165
0.170003
0.116369
0.177378
0.412281
7,643
train
H1
H29
75
75
20
24
20
-1.11982
1.024523
1.25124
1.260978
1.825942
19.749892
1.601077
-1.11982
1.25124
0.000191
1.590065
1.918737
1.052071
0.848588
1.350239
-1.027533
7,643
train
H0
H29
100
100
20
13
20
0.454971
-0.392008
-1.004782
-1.002349
2.462318
3.766213
2.18231
-1.002349
1.004782
0.287841
1.004704
0.362937
0.153517
1.906334
1.686667
0.401995
7,643
train
H1
H29
100
100
20
18
19
0.156965
-0.198576
-0.071612
-0.071118
0.006076
1.496103
0.055428
-0.071118
0.198576
0.68317
0.005058
0.006539
0.039366
0.009507
0.023442
0.202936
7,643
train
H0
H29
150
150
20
15.333333
14.666667
0.528699
-0.483776
-0.835815
-0.838169
0.848045
4.074521
1.019193
-0.838169
0.835815
0.253529
0.702526
0.467742
0.233854
0.97282
1.128143
0.486838
7,643
train
H1
H29
150
150
20
20.666667
16.666667
1.289801
-1.362909
-0.613636
-0.614428
3.641949
3.797244
3.69974
1.289801
1.362909
0.157258
0.377521
1.236385
1.860626
0.157765
0.154589
1.378809
7,643
train
H0
H29
200
200
20
17
24
0.319765
-0.330605
-0.264717
-0.264938
0.080123
0.905734
0.107974
0.319765
0.330605
0.737025
0.070192
0.076862
0.109239
0.009271
0.005931
0.335795
7,643
train
H1
H29
200
200
20
16.5
23.5
2.296402
-2.364353
-1.420791
-1.421218
7.253864
8.820538
8.303226
2.296402
2.364353
0.015739
2.019862
3.865638
5.605208
0.00044
0.00026
2.394316
7,643
train
H0
H29
300
300
20
20
23.333333
0.553092
-0.565926
-0.494891
-0.493939
0.244338
2.018724
0.307432
0.553092
0.565926
0.564583
0.243975
0.192156
0.32022
0.078182
0.055391
0.576047
7,643
train
H1
H29
300
300
20
18.333333
23
2.799274
-2.900948
-2.005088
-2.008055
7.480547
24.224536
9.838403
2.799274
2.900948
0.000022
4.032287
5.83545
8.452897
0.296709
0.22456
2.953103
7,643
train
H0
H29
500
500
20
19.2
20.4
0.354802
-0.302673
-0.671376
-0.670685
0.871871
0.888895
0.874032
0.354802
0.671376
0.645961
0.449819
0.203322
0.091584
0.787826
0.785979
0.306252
7,643
train
H1
H29
500
500
20
18.8
18.2
1.686771
-1.875227
-0.041178
-0.041232
10.88201
31.593313
16.304155
1.686771
1.875227
0.000001
0.0017
0.854615
3.527525
3.747468
3.904045
1.900867
7,643
train
H0
H29
1,000
1,000
20
21
19.3
0.017881
0.009664
-0.155911
-0.155905
0.090723
0.429581
0.12116
0.017881
0.155911
0.934066
0.024306
0.003888
0.000093
0.080929
0.087153
-0.009991
7,643
train
H1
H29
1,000
1,000
20
19.1
18.1
1.639203
-1.897457
0.372111
0.372472
16.476887
36.218489
23.068062
1.639203
1.897457
0
0.138736
0.623161
3.605091
7.349355
7.427642
1.924476