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
float64
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95
real_perc2
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95
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logrank_test
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CoxMantel_test
float64
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7.03
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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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
2
train
H0
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train
H1
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train
H0
H06
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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
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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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20
25
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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
H06
75
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train
H0
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train
H1
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train
H0
H06
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train
H1
H06
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train
H0
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train
H1
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train
H0
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train
H1
H06
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train
H0
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train
H1
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train
H0
H06
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train
H1
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train
H0
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20
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25
35
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train
H1
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30
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train
H0
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train
H1
H06
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train
H0
H06
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32
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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
H06
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-3.062417
16.253485
20.783959
18.081667
3.922748
4.071384
0.000029
9.378401
13.42783
16.712915
1.269571
1.258963
4.180089
2
train
H0
H06
500
500
30
27.2
31.8
2.200638
-2.041776
-2.409369
-2.413716
5.856331
12.98036
5.846168
-2.413716
2.409369
0.004679
5.826025
5.680368
4.172532
4.592024
4.810156
2.084144
2
train
H1
H06
500
500
30
28.8
32.6
4.208559
-4.235342
-3.794571
-3.833635
17.026755
23.497171
17.940667
-3.833635
4.235342
0.000014
14.696754
16.49902
18.015972
5.500015
5.402013
4.347731
2
train
H0
H06
1,000
1,000
30
31.1
28.8
-1.260501
1.32728
0.891516
0.892575
3.034292
6.91212
2.24552
-1.260501
1.32728
0.074752
0.79669
1.81473
1.761935
0.006313
0.010225
-1.351774
2
train
H1
H06
1,000
1,000
30
28
30.1
5.339165
-5.478078
-4.31537
-4.340045
30.080238
34.532653
31.92939
5.339165
5.478078
0
18.83599
25.60063
30.156467
3.602929
3.679687
5.61198
2
train
H0
H06
20
20
40
40
30
-0.386387
0.342343
0.63823
0.628663
0.785801
0.806888
0.811268
0.628663
0.63823
0.666554
0.395217
0.227008
0.116318
1.0923
1.091202
-0.377483
2
train
H1
H06
20
20
40
35
35
0.770012
-1.018278
-0.079835
-0.079259
5.173164
5.697972
5.320418
0.770012
1.018278
0.069934
0.006282
0.39015
1.038627
1.158646
1.073524
1.028858
2
train
H0
H06
30
30
40
46.666667
40
0.908202
-0.943049
-0.766426
-0.778479
1.082775
3.231354
0.975849
-0.778479
0.943049
0.328349
0.60603
0.910373
0.893093
0.070654
0.121898
0.977445
2
train
H1
H06
30
30
40
40
43.333333
1.467353
-1.64968
-0.888947
-0.884495
5.042801
4.975372
5.024539
-0.884495
1.64968
0.081084
0.782332
1.925555
2.750298
0.104966
0.06334
1.70827
2
train
H0
H06
50
50
40
46
42
-0.251237
0.342284
0.013864
0.013849
0.941486
4.154311
0.755486
0.013849
0.342284
0.245276
0.000192
0.087567
0.116939
0.247617
0.186062
-0.37201
2
train
H1
H06
50
50
40
42
38
1.079762
-1.413217
-0.543716
-0.541449
2.294168
12.748237
3.208237
1.079762
1.413217
0.005214
0.293167
0.958615
2.020387
0.194447
0.330973
1.491466
2
train
H0
H06
75
75
40
36
37.333333
0.641063
-0.843254
0.01951
0.019519
3.38616
3.418639
3.395025
0.641063
0.843254
0.183139
0.000381
0.296947
0.710693
1.066283
0.959628
0.878835
2
train
H1
H06
75
75
40
40
45.333333
0.824707
-0.941019
-0.461739
-0.462786
2.34557
2.954169
2.447367
0.824707
0.941019
0.294145
0.21417
0.538886
0.884639
0.185469
0.187153
0.958694
2
train
H0
H06
100
100
40
46
34
-0.527918
0.500588
0.584825
0.584142
0.348395
0.39576
0.351596
-0.527918
0.584825
0.604627
0.341222
0.317691
0.250318
0.410554
0.428649
-0.517758
2
train
H1
H06
100
100
40
42
36
1.04358
-1.244564
-0.497876
-0.498931
4.110136
4.378267
3.942547
-0.498931
1.244564
0.139279
0.248932
1.002884
1.553022
0.328237
0.27871
1.284918
2
train
H0
H06
150
150
40
44.666667
47.333333
-0.422834
0.633018
0.008734
0.008722
2.142431
2.117346
2.157135
0.008722
0.633018
0.340082
0.000076
0.154643
0.400714
0.580518
0.582343
-0.656956
2
train
H1
H06
150
150
40
37.333333
42.666667
2.862116
-2.901827
-2.540146
-2.573183
8.516372
8.450739
8.606234
-2.573183
2.901827
0.002682
6.62127
7.931989
8.471115
2.022382
2.110004
3.002031
2
train
H0
H06
200
200
40
42.5
42
-0.456751
0.405742
0.502408
0.502033
0.252544
3.624353
0.259874
0.502033
0.502408
0.304988
0.252037
0.270251
0.164604
0.266727
0.295604
-0.419238
2
train
H1
H06
200
200
40
37
41
2.55904
-2.616128
-2.268783
-2.288734
6.313509
15.780929
6.868726
-2.288734
2.616128
0.001257
5.238302
5.816974
6.877828
1.604932
1.569729
2.702404
2
train
H0
H06
300
300
40
37.666667
39.333333
-0.10412
0.20136
-0.167741
-0.167521
0.546367
4.323048
0.797971
-0.10412
0.20136
0.228628
0.028063
0.001079
0.040537
0.334875
0.373929
-0.204824
2
train
H1
H06
300
300
40
41
38
2.059545
-2.180319
-1.582425
-1.599115
5.398113
6.390893
5.652677
2.059545
2.180319
0.023595
2.55717
3.876939
4.766377
0.160275
0.162161
2.263667
2
train
H0
H06
500
500
40
39.6
42
1.222371
-1.313918
-0.974505
-0.97424
1.92417
1.961273
1.887449
1.222371
1.313918
0.177317
0.949143
1.531027
1.726701
0.076904
0.079757
1.349062
2
train
H1
H06
500
500
40
40.4
42.2
5.162253
-5.377327
-4.291617
-4.373814
30.194012
32.158491
31.052018
5.162253
5.377327
0
19.130249
25.634938
29.203958
3.80156
3.820252
5.579732
2
train
H0
H06
1,000
1,000
40
37.1
39.8
0.282344
-0.156229
-0.589236
-0.588852
1.14508
1.152977
1.148622
-0.588852
0.589236
0.563093
0.346747
0.110876
0.024404
0.931047
0.912796
0.161046
2
train
H1
H06
1,000
1,000
40
38.9
40.2
6.760569
-7.051047
-5.495725
-5.584327
53.955538
56.275315
55.554802
6.760569
7.051047
0
31.184704
42.902129
50.14889
5.243351
5.305711
7.288101
2
train
H0
H06
20
20
50
50
45
-1.931282
1.970743
1.544146
1.617033
5.217071
6.238527
5.001489
-1.931282
1.970743
0.038945
2.614796
3.896028
3.977048
0.001368
0.066372
-2.064773
2
train
H1
H06
20
20
50
50
25
0.396245
-0.567973
-0.108923
-0.110297
1.172205
1.19613
1.160474
-0.110297
0.567973
0.556901
0.012165
0.152479
0.323515
0.321907
0.279706
0.587451
2
train
H0
H06
30
30
50
63.333333
46.666667
-1.379988
1.443955
1.284747
1.283131
2.053281
2.351863
2.038255
1.283131
1.443955
0.133167
1.646425
1.988914
2.08639
0.736469
0.783013
-1.501731
2
train
H1
H06
30
30
50
33.333333
46.666667
3.376804
-3.389458
-3.065863
-3.430984
12.540221
16.853835
12.721746
-3.430984
3.389458
0.0003
11.771649
12.089793
12.374067
5.372229
5.292195
3.615481
2
train
H0
H06
50
50
50
40
48
0.062486
-0.059594
-0.132898
-0.132212
0.055768
2.255897
0.085182
-0.132212
0.132898
0.521023
0.01748
0.022723
0.003547
0.017752
0.045758
0.060933
2
train
H1
H06
50
50
50
56
42
0.036435
-0.144935
0.115839
0.117637
0.323388
2.606839
0.403781
0.036435
0.144935
0.456292
0.013838
0.000425
0.021022
0.352271
0.399988
0.152603
2
train
H0
H06
75
75
50
58.666667
52
-0.469204
0.252976
0.648818
0.643664
0.776576
1.710709
0.830889
0.643664
0.648818
0.634556
0.414304
0.174786
0.063872
0.848963
1.072504
-0.268864
2
train
H1
H06
75
75
50
45.333333
53.333333
1.739167
-1.794495
-1.504971
-1.509567
3.506673
8.300412
3.68653
-1.509567
1.794495
0.040194
2.278794
2.677284
3.228304
0.386538
0.367878
1.856201
2
train
H0
H06
100
100
50
50
53
0.290181
-0.341838
-0.161784
-0.16174
0.416783
2.124438
0.329838
-0.16174
0.341838
0.546985
0.02616
0.11155
0.116709
0.068711
0.029869
0.353802
2
train
H1
H06
100
100
50
47
56
2.870756
-2.900254
-2.617953
-2.658338
8.563192
12.658115
8.807548
-2.658338
2.900254
0.002618
7.066761
7.89929
8.495049
2.242545
2.220251
3.009383
2
train
H0
H06
150
150
50
48
46.666667
-1.366292
1.508755
1.067651
1.071722
2.685185
2.765735
2.699929
-1.366292
1.508755
0.115019
1.148589
1.891832
2.279141
0.042194
0.042716
-1.576029
2
train
H1
H06
150
150
50
50
52
3.299532
-3.233511
-3.209945
-3.402515
11.581687
18.353483
11.604789
-3.402515
3.233511
0.000372
11.57711
10.895795
10.597314
7.52876
7.497498
3.369928
2
train
H0
H06
200
200
50
53
55
0.528609
-0.576892
-0.471781
-0.470362
0.315165
0.316342
0.313857
-0.470362
0.576892
0.547517
0.22124
0.304908
0.33267
0.022843
0.039829
0.601484
2
train
H1
H06
200
200
50
53.5
52
2.840273
-3.317047
-2.052894
-2.095845
17.427347
18.372439
17.80876
2.840273
3.317047
0.000136
4.392566
8.169764
11.123281
0.000994
0.000077
3.466916
2
train
H0
H06
300
300
50
53.333333
50.333333
-1.132141
0.888027
1.356077
1.357562
2.171266
4.497772
2.317719
-1.132141
1.356077
0.212489
1.842974
1.377432
0.788823
2.415817
2.514733
-0.924287
2
train
H1
H06
300
300
50
50.666667
51.666667
4.146291
-4.243912
-3.675424
-3.802461
18.710625
18.622294
18.627651
4.146291
4.243912
0.000007
14.458713
17.530533
18.242968
4.27258
4.393442
4.502409
2
train
H0
H06
500
500
50
48
51.6
1.712178
-1.895797
-1.370186
-1.369674
4.026141
9.724249
4.38751
-1.369674
1.895797
0.021062
1.876008
2.648909
3.595401
0.090415
0.084371
1.953906
2
train
H1
H06
500
500
50
51.2
48.2
3.226767
-3.635846
-2.395462
-2.428366
17.059897
24.241808
18.23501
3.226767
3.635846
0.000022
5.89696
9.823217
13.315082
0.035947
0.032373
3.807898
2
train
H0
H06
1,000
1,000
50
49
49.7
0.649281
-0.782039
-0.410884
-0.410719
1.116775
1.262863
1.154229
0.649281
0.782039
0.418512
0.16869
0.417853
0.61151
0.049584
0.052999
0.809006
2
train
H1
H06
1,000
1,000
50
51
48.9
4.852991
-5.380752
-3.8183
-3.875541
32.495563
45.350651
34.412559
4.852991
5.380752
0
15.019817
22.728185
29.179878
0.934286
0.904401
5.658987