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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20
1k
perc
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0
50
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logrank_test
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BN_GPH_test
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0
109
BN_MCE_test
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143
BN_SCE_test
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0
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Q_test
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MAX_Value_test
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0
10.2
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
float64
-8.89
10.7
3
train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
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train
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train
H0
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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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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
H29
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train
H0
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train
H1
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train
H0
H29
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train
H1
H29
150
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train
H0
H29
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train
H1
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train
H0
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train
H1
H29
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train
H0
H29
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train
H1
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train
H0
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train
H1
H29
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39.7
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train
H0
H29
20
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train
H1
H29
20
20
50
40
60
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train
H0
H29
30
30
50
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train
H1
H29
30
30
50
43.333333
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train
H0
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50
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train
H1
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train
H0
H29
75
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train
H1
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75
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52
48
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train
H0
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train
H1
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train
H0
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train
H1
H29
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train
H0
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train
H1
H29
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train
H0
H29
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50
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3
train
H1
H29
300
300
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46.666667
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2.976601
-3.713743
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-1.620863
27.601149
34.669274
29.48126
2.976601
3.713743
0
2.627198
8.15394
13.866057
1.376297
1.338186
3.874032
3
train
H0
H29
500
500
50
52.4
49.6
-1.110323
1.096168
1.108244
1.107599
1.240526
1.54643
1.248527
1.107599
1.108244
0.256372
1.226775
1.20127
1.201505
0.750745
0.78108
-1.135007
3
train
H1
H29
500
500
50
49.4
51
3.684663
-4.163667
-2.770673
-2.789164
22.729982
30.42652
23.822777
-2.789164
4.163667
0.000001
7.779434
12.925266
17.43763
0.100607
0.104193
4.364087
3
train
H0
H29
1,000
1,000
50
48.2
50
0.637435
-0.625612
-0.728132
-0.728063
0.634062
1.793726
0.596482
0.637435
0.728132
0.518111
0.530075
0.417142
0.391372
0.554664
0.498531
0.64626
3
train
H1
H29
1,000
1,000
50
51.8
49.3
3.574921
-5.031771
-1.286854
-1.290203
75.874265
96.43013
81.11016
3.574921
5.031771
0
1.664624
12.104771
25.45625
11.233666
11.188604
5.278154
4
train
H0
H01
20
20
0
0
0
-0.838553
0.838553
1.260269
1.280808
2.448914
3.428034
2.24873
1.280808
1.260269
0.324859
1.64047
1.016029
0.699291
2.601602
2.453082
-0.849235
4
train
H1
H01
20
20
0
0
0
0.622152
-0.622152
0.368699
0.367781
4.401375
4.426393
4.747926
0.622152
0.622152
0.093111
0.135263
0.037178
0.387191
1.986201
1.857799
0.630078
4
train
H0
H01
30
30
0
0
0
0.739221
-0.739221
-0.299825
-0.294414
1.243235
1.371934
1.085042
0.739221
0.739221
0.455994
0.086679
0.374462
0.544188
0.087252
0.049434
0.74546
4
train
H1
H01
30
30
0
0
0
1.714993
-1.714993
-0.910238
-0.915773
5.392964
6.449304
4.687672
-0.915773
1.714993
0.083726
0.838639
2.249134
2.9696
0.013513
0.000399
1.729466
4
train
H0
H01
50
50
0
0
0
1.28225
-1.28225
-1.150384
-1.142323
1.620607
1.811582
1.647491
1.28225
1.28225
0.197499
1.304903
1.602328
1.645744
0.432057
0.430668
1.28871
4
train
H1
H01
50
50
0
0
0
2.040571
-2.040571
-2.599043
-2.761725
9.796801
17.464808
9.081089
-2.761725
2.599043
0.000567
7.627125
5.444542
4.193859
8.580584
8.331992
2.050851
4
train
H0
H01
75
75
0
0
0
-0.197333
0.197333
-0.325541
-0.32343
1.140688
1.163097
1.078572
-0.197333
0.325541
0.583164
0.104607
0.000265
0.038847
0.54374
0.500426
-0.19667
4
train
H1
H01
75
75
0
0
0
1.09191
-1.09191
-1.012573
-1.00965
1.237389
1.616277
1.204338
1.09191
1.09191
0.276489
1.019392
1.190516
1.19178
0.394429
0.485863
1.08824
4
train
H0
H01
100
100
0
0
0
-1.351194
1.351194
0.816102
0.814133
2.495526
2.627052
2.39134
-1.351194
1.351194
0.17555
0.662812
1.415351
1.827629
0.001324
0.0124
-1.354585
4
train
H1
H01
100
100
0
0
0
1.01645
-1.01645
-0.936688
-0.931032
0.949241
1.198166
1.041487
-0.931032
1.01645
0.308203
0.866822
0.937457
1.032638
0.319212
0.297659
1.019
4
train
H0
H01
150
150
0
0
0
0.372713
-0.372713
-0.433825
-0.432088
0.187012
0.365958
0.186754
-0.432088
0.433825
0.708899
0.1867
0.156041
0.138728
0.118186
0.143182
0.373335
4
train
H1
H01
150
150
0
0
0
1.331117
-1.331117
-1.219255
-1.216857
1.569626
2.185928
1.78591
1.331117
1.331117
0.18242
1.48074
1.544884
1.77238
0.568576
0.537617
1.333341
4
train
H0
H01
200
200
0
0
0
-0.106388
0.106388
1.140533
1.146796
4.982437
4.953091
4.779424
-0.106388
1.140533
0.091656
1.315141
0.259283
0.011312
3.810367
3.686688
-0.106521
4
train
H1
H01
200
200
0
0
0
0.880514
-0.880514
0.300737
0.300642
4.676749
4.415599
5.509056
0.880514
0.880514
0.063639
0.090386
0.153275
0.775847
2.007408
1.948122
0.881617
4
train
H0
H01
300
300
0
0
0
0.138949
-0.138949
0.212912
0.212274
0.310702
1.022159
0.467785
0.138949
0.212912
0.791447
0.04506
0.00026
0.019298
0.277903
0.309166
0.139065
4
train
H1
H01
300
300
0
0
0
2.039483
-2.039483
-2.033368
-2.044787
4.188516
9.526689
4.454928
-2.044787
2.039483
0.023049
4.181152
3.885912
4.165364
2.263126
2.160727
2.041184
4
train
H0
H01
500
500
0
0
0
-0.884239
0.884239
1.912728
1.923852
6.598064
7.070187
6.350332
1.923852
1.912728
0.041787
3.701207
1.681467
0.781879
6.241588
6.123361
-0.884682
4
train
H1
H01
500
500
0
0
0
1.335118
-1.335118
-1.334388
-1.334089
1.816351
1.802349
1.90677
1.335118
1.335118
0.181619
1.779794
1.704817
1.782651
0.9296
0.977387
1.335786
4
train
H0
H01
1,000
1,000
0
0
0
1.558641
-1.558641
-0.987002
-0.986499
2.010736
5.652037
2.965639
1.558641
1.558641
0.118989
0.973179
1.691631
2.429856
0.023475
0.017078
1.559031
4
train
H1
H01
1,000
1,000
0
0
0
5.104401
-5.104401
-3.249737
-3.256498
25.629721
29.962071
31.757082
5.104401
5.104401
0
10.604777
18.98764
26.158076
0.437825
0.418644
5.105677
4
train
H0
H01
20
20
10
20
20
1.367576
-1.390642
-0.991228
-0.995244
2.794517
3.703733
2.623283
-0.995244
1.390642
0.163544
0.990511
1.611884
1.941938
0.032091
0.06228
1.393251
4
train
H1
H01
20
20
10
0
0
-0.892653
0.892653
0.988025
0.97689
0.954316
1.03804
0.957085
-0.892653
0.988025
0.365982
0.954315
0.86998
0.795326
0.793024
0.793508
-0.904025
4
train
H0
H01
30
30
10
13.333333
10
2.08894
-2.118081
-1.054226
-1.076106
9.223525
9.308025
9.083819
2.08894
2.118081
0.010653
1.158005
3.048476
4.588724
0.078108
0.049518
2.137523
4
train
H1
H01
30
30
10
16.666667
10
1.535604
-1.510396
-1.635636
-1.728017
3.105248
4.782565
3.052592
-1.728017
1.635636
0.123611
2.986043
2.568421
2.297208
2.243656
2.161558
1.539791
4
train
H0
H01
50
50
10
18
12
-0.095058
0.119476
0.295512
0.291928
0.229389
0.212068
0.253599
-0.095058
0.295512
0.88091
0.085222
0.048035
0.014228
0.267671
0.249158
-0.127826
4
train
H1
H01
50
50
10
10
8
0.185225
-0.223121
0.092665
0.092033
0.308771
0.357214
0.356525
0.185225
0.223121
0.819813
0.00847
0.005144
0.049683
0.179906
0.137409
0.227786
4
train
H0
H01
75
75
10
9.333333
10.666667
0.184982
-0.204925
-0.326317
-0.325466
0.387754
5.892254
0.166066
0.184982
0.326317
0.116972
0.105928
0.032797
0.041961
0.160152
0.086897
0.20603
4
train
H1
H01
75
75
10
8
14.666667
0.445327
-0.397113
-0.924062
-0.920964
1.744088
1.871312
1.676294
-0.920964
0.924062
0.432511
0.848174
0.358363
0.157355
1.464602
1.365124
0.398905
4
train
H0
H01
100
100
10
8
9
0.967
-0.944926
-1.214288
-1.215161
1.568519
1.682878
1.549995
-1.215161
1.214288
0.340102
1.476615
1.136419
0.892019
1.277445
1.218672
0.953964
4
train
H1
H01
100
100
10
9
7
1.00976
-1.041763
-0.146545
-0.145801
3.432696
3.45345
3.706606
1.00976
1.041763
0.156719
0.021258
0.492719
1.085111
0.724827
0.669654
1.048357
4
train
H0
H01
150
150
10
11.333333
10
-0.640185
0.643119
0.502921
0.502202
0.411751
0.900081
0.436796
-0.640185
0.643119
0.516101
0.252207
0.369453
0.413394
0.059798
0.048567
-0.649367
4
train
H1
H01
150
150
10
14.666667
8
-0.382062
0.382165
0.574522
0.57285
0.444376
0.812766
0.418192
-0.382062
0.574522
0.698348
0.328157
0.214887
0.146165
0.427212
0.377443
-0.387551
4
train
H0
H01
200
200
10
11
10.5
-2.1461
2.124183
2.158754
2.176932
5.069017
6.388909
4.930321
2.176932
2.158754
0.032084
4.739033
5.001788
4.522147
2.634503
2.791127
-2.143358
4
train
H1
H01
200
200
10
9
11.5
0.382548
-0.350523
-0.914074
-0.915616
2.324693
4.2925
1.823075
-0.915616
0.914074
0.231562
0.838352
0.252609
0.122781
1.620015
1.538785
0.352807
4
train
H0
H01
300
300
10
13
10
-0.391106
0.39799
0.30232
0.30184
0.227984
0.396505
0.164702
0.30184
0.39799
0.688384
0.091107
0.169887
0.158302
0.020237
0.024377
-0.401049
4
train
H1
H01
300
300
10
12.333333
10.666667
1.839162
-1.870378
-0.907048
-0.905785
5.401832
6.150233
6.238497
1.839162
1.870378
0.04419
0.820446
2.199108
3.502023
0.138511
0.14603
1.884137
4
train
H0
H01
500
500
10
10.2
7.6
-1.009614
1.019361
0.810507
0.809543
0.758096
2.034831
1.056204
-1.009614
1.019361
0.304841
0.655361
0.747906
1.038964
0.146172
0.14508
-1.026106
4
train
H1
H01
500
500
10
11.2
8.2
2.846722
-2.933543
-0.853666
-0.8536
20.167171
18.56156
21.908546
2.846722
2.933543
0.000017
0.728633
4.665911
8.630538
2.224547
2.082289
2.949623
4
train
H0
H01
1,000
1,000
10
9.5
9.2
-0.324298
0.309709
0.241693
0.241605
0.136367
0.219507
0.11579
0.241605
0.309709
0.755458
0.058373
0.084351
0.095918
0.008014
0.006896
-0.311451
4
train
H1
H01
1,000
1,000
10
10.4
9.6
4.131359
-4.188176
-2.571439
-2.575732
18.641643
20.545491
23.15183
4.131359
4.188176
0.000009
6.634397
12.166852
17.58802
0.057195
0.062835
4.216015