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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1k
perc
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0
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logrank_test
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143
BN_SCE_test
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Q_test
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MAX_Value_test
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MIN3_test
float64
0
1
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84.2
WLg_TaroneWare_test
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0
99.4
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float64
0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
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0
71.6
WKM_test
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train
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1.585982
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7,644
train
H1
H21
300
300
10
10.333333
13.666667
1.590048
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4.845612
7.062907
5.185841
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2.124217
0.06992
4.560073
3.639333
2.403386
5.042247
5.032542
1.561701
7,644
train
H0
H21
500
500
10
10.6
8.6
-0.149911
0.127137
0.658947
0.658388
1.104851
1.54071
1.389531
0.658388
0.658947
0.499192
0.433474
0.150583
0.016159
1.157016
1.154972
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7,644
train
H1
H21
500
500
10
9.2
8.6
0.791873
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0.954043
6.266927
0.657834
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0.787349
0.099322
0.617194
0.856156
0.619891
0.328698
0.37184
0.792027
7,644
train
H0
H21
1,000
1,000
10
10.8
9.8
-0.110918
0.104582
0.326594
0.326552
0.462846
1.881508
0.270679
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0.326594
0.597361
0.106636
0.017842
0.010935
0.249615
0.235629
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7,644
train
H1
H21
1,000
1,000
10
8.4
11.1
2.221537
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5.98515
7.019857
5.927151
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2.428745
0.02677
5.913999
5.719133
4.829645
4.147467
4.22566
2.21486
7,644
train
H0
H21
20
20
20
20
25
0.517109
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0.336001
1.455941
0.270897
0.517109
0.556065
0.568895
0.196659
0.300862
0.290323
0.021545
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0.569679
7,644
train
H1
H21
20
20
20
30
25
0.088119
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0.013117
1.957659
0.018129
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0.114431
0.581241
0.013113
0.015349
0.007075
0.000032
0.00092
0.081532
7,644
train
H0
H21
30
30
20
23.333333
20
0.184048
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5.358944
5.477835
5.535747
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0.900372
0.062795
0.865661
0.202583
0.004847
3.693516
3.623328
0.062513
7,644
train
H1
H21
30
30
20
10
20
0.98196
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0.896344
1.493832
0.966585
0.98196
1.004981
0.302647
0.840713
0.919532
1.006971
0.298258
0.264494
1.030774
7,644
train
H0
H21
50
50
20
26
18
-1.093015
1.042397
1.42809
1.431518
2.59701
2.907798
2.535072
1.431518
1.42809
0.281525
2.049244
1.458529
1.085539
2.861838
2.793934
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7,644
train
H1
H21
50
50
20
12
18
0.159614
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4.118766
5.554262
4.615811
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1.005544
0.099469
1.032121
0.24838
0.006321
3.350658
3.326086
0.08735
7,644
train
H0
H21
75
75
20
17.333333
28
-0.259351
0.366362
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3.529637
4.247461
3.211122
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0.404127
0.200777
0.163523
0.00924
0.134339
1.688188
1.602267
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7,644
train
H1
H21
75
75
20
22.666667
13.333333
0.736696
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0.447024
1.451223
0.581424
0.736696
0.768459
0.434427
0.352571
0.435338
0.590949
0.05573
0.041643
0.781638
7,644
train
H0
H21
100
100
20
16
18
1.047834
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1.376623
1.778285
1.361268
1.047834
1.167067
0.286599
1.360345
1.153034
1.07979
0.972167
0.90703
1.065612
7,644
train
H1
H21
100
100
20
26
24
0.87146
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0.800128
0.876722
0.773332
0.87146
0.895994
0.359749
0.728135
0.85828
0.80171
0.416146
0.398467
0.915843
7,644
train
H0
H21
150
150
20
14.666667
21.333333
0.908411
-0.882627
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1.194213
1.351963
1.175862
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1.070662
0.370249
1.145064
0.923624
0.778226
0.94008
0.930531
0.896006
7,644
train
H1
H21
150
150
20
16.666667
20
2.632581
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7.316722
7.206815
7.401793
2.632581
2.659441
0.007051
4.707032
6.328483
7.107104
1.13736
1.190464
2.694417
7,644
train
H0
H21
200
200
20
16.5
29.5
1.041014
-0.918323
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4.403373
4.370654
4.475269
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1.684562
0.106711
2.820225
1.544358
0.842668
4.267642
4.208078
0.938552
7,644
train
H1
H21
200
200
20
22.5
18
0.519959
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0.43011
0.502933
0.382667
0.519959
0.550205
0.576604
0.118712
0.24912
0.30282
0.000039
0.000525
0.558352
7,644
train
H0
H21
300
300
20
19
20.333333
-0.074836
0.061714
0.226038
0.225823
0.066852
1.800956
0.16142
0.225823
0.226038
0.614727
0.050996
0.045937
0.003807
0.145235
0.15498
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7,644
train
H1
H21
300
300
20
20.666667
21.666667
0.753058
-0.680967
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1.507439
5.359153
1.788302
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1.127493
0.14731
1.27145
0.931054
0.463851
1.749838
1.885047
0.694727
7,644
train
H0
H21
500
500
20
18.8
21.6
0.957047
-0.882381
-1.282097
-1.281896
1.67457
10.065228
1.929106
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1.282097
0.01802
1.643257
1.431157
0.77872
1.876169
2.045607
0.899064
7,644
train
H1
H21
500
500
20
22.8
18.8
0.08355
-0.099634
-0.048021
-0.048024
0.082947
1.143319
0.012245
0.08355
0.099634
0.766628
0.002306
0.027367
0.009929
0.000224
0.000203
0.10119
7,644
train
H0
H21
1,000
1,000
20
20.6
21.7
0.515793
-0.47293
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0.60736
1.23017
0.672919
-0.7259
0.726163
0.630491
0.526931
0.384142
0.22363
0.650079
0.667176
0.481036
7,644
train
H1
H21
1,000
1,000
20
18.9
20.5
2.304223
-2.226604
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-2.671744
7.150963
8.946128
7.26071
2.304223
2.662445
0.023955
7.138218
6.532326
4.962019
6.147639
6.171234
2.257843
7,644
train
H0
H21
20
20
30
30
20
-0.440219
0.419611
0.565229
0.557571
0.361836
0.446382
0.376764
-0.440219
0.565229
0.667143
0.310885
0.24036
0.17499
0.53897
0.518049
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7,644
train
H1
H21
20
20
30
40
45
0.28314
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-0.472381
-0.472741
0.550836
0.785273
0.572321
-0.472741
0.472381
0.751142
0.223484
0.090847
0.028563
0.434276
0.485567
0.185984
7,644
train
H0
H21
30
30
30
10
30
1.184793
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-1.024156
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1.374814
2.226766
1.468961
1.184793
1.18842
0.229847
1.036991
1.232318
1.410794
0.216855
0.209646
1.200752
7,644
train
H1
H21
30
30
30
23.333333
33.333333
0.038523
-0.041058
0.1161
0.115023
0.295655
2.169512
0.182668
0.115023
0.1161
0.537978
0.01323
0.00161
0.00168
0.164415
0.09594
0.041042
7,644
train
H0
H21
50
50
30
36
24
-0.939857
0.869842
1.108437
1.10173
1.321887
1.630683
1.299615
1.10173
1.108437
0.368794
1.213808
0.918851
0.754863
1.411622
1.33084
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7,644
train
H1
H21
50
50
30
30
30
0.420934
-0.400234
-0.48484
-0.483255
0.234567
0.941266
0.244338
-0.483255
0.48484
0.684197
0.233536
0.219452
0.160018
0.148295
0.149441
0.406742
7,644
train
H0
H21
75
75
30
26.666667
25.333333
-0.209362
0.14677
0.552373
0.552512
1.251671
2.008089
1.103608
0.552512
0.552373
0.570729
0.305269
0.078677
0.022083
1.003362
0.956149
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7,644
train
H1
H21
75
75
30
29.333333
30.666667
0.432111
-0.468529
-0.322841
-0.321234
0.262325
0.278027
0.249142
0.432111
0.468529
0.633238
0.103192
0.188709
0.219094
0.000047
0.000478
0.477174
7,644
train
H0
H21
100
100
30
33
30
0.420166
-0.34729
-0.815427
-0.81738
2.155822
8.283877
1.706234
-0.81738
0.815427
0.040495
0.66811
0.194528
0.120726
1.571773
1.363949
0.370269
7,644
train
H1
H21
100
100
30
36
33
-0.433908
0.545388
0.08493
0.084685
1.354238
1.438248
1.317245
0.084685
0.545388
0.517564
0.007171
0.144991
0.297013
0.268215
0.269606
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7,644
train
H0
H21
150
150
30
30.666667
22
-0.316247
0.102257
1.232822
1.237232
7.237918
8.241106
6.695389
1.237232
1.232822
0.035165
1.530744
0.249141
0.010447
5.002973
4.846409
-0.104859
7,644
train
H1
H21
150
150
30
28
34
0.875762
-0.774625
-1.223004
-1.220138
2.010471
2.363669
2.068407
-1.220138
1.223004
0.355509
1.488736
0.995846
0.599514
1.917109
2.108721
0.805704
7,644
train
H0
H21
200
200
30
29.5
33.5
-0.424993
0.493603
0.018323
0.018297
1.735326
3.74419
1.351739
0.018297
0.493603
0.290445
0.000335
0.160589
0.243622
0.376491
0.34074
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7,644
train
H1
H21
200
200
30
31.5
29
1.215676
-1.197465
-1.240495
-1.247143
1.614158
2.741258
1.572043
1.215676
1.240495
0.220783
1.555365
1.711503
1.437081
0.937319
0.966258
1.224449
7,644
train
H0
H21
300
300
30
28
32.666667
1.696726
-1.570456
-2.121806
-2.129682
5.364383
5.720006
5.271007
-2.129682
2.121806
0.071683
4.535543
3.240648
2.46846
5.003775
4.957289
1.613343
7,644
train
H1
H21
300
300
30
30.333333
34
1.317837
-1.168788
-1.70931
-1.711719
3.443391
4.808986
3.614332
-1.711719
1.70931
0.164119
2.929983
2.117296
1.366841
3.532316
3.480019
1.207115
7,644
train
H0
H21
500
500
30
29.2
29.4
0.105295
-0.161748
0.215627
0.215405
0.892566
1.400531
0.744701
0.105295
0.215627
0.689113
0.0464
0.003458
0.026154
0.417908
0.404808
0.165703
7,644
train
H1
H21
500
500
30
28.8
31.2
1.458243
-1.356781
-1.730974
-1.736162
3.110614
4.466876
3.239684
-1.736162
1.730974
0.164452
3.014259
2.638182
1.841521
3.00305
2.973699
1.390253
7,644
train
H0
H21
1,000
1,000
30
32.6
27.6
-1.740699
1.750332
1.587486
1.586791
3.084947
3.188765
3.043199
-1.740699
1.750332
0.072466
2.517904
3.060004
3.06341
0.925088
0.905375
-1.796178
7,644
train
H1
H21
1,000
1,000
30
28.2
30.2
0.750946
-0.518687
-1.611856
-1.613555
7.105299
7.354389
6.943099
-1.613555
1.611856
0.031069
2.603561
0.855276
0.269032
6.144475
6.157672
0.532354