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
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0
50
real_perc1
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95
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10.1
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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
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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
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
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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
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train
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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
H08
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train
H1
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train
H0
H08
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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
H08
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train
H0
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train
H1
H08
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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
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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
H1
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train
H0
H09
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train
H1
H09
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0
0
0
-0.802605
0.802605
-0.60486
-0.61157
10.950905
17.70738
8.25455
-0.802605
0.802605
0.000505
0.374018
0.155799
0.644243
3.921829
3.745433
-0.803274
2
train
H0
H09
500
500
0
0
0
0.434893
-0.434893
-0.541465
-0.540541
0.292379
0.494151
0.296835
-0.540541
0.541465
0.663482
0.292184
0.26566
0.189088
0.236685
0.261163
0.435111
2
train
H1
H09
500
500
0
0
0
2.305855
-2.305855
-3.783278
-3.866504
22.431327
26.102783
20.547621
-3.866504
3.783278
0.000009
14.949856
8.301715
5.323005
20.333272
20.168629
2.307009
2
train
H0
H09
1,000
1,000
0
0
0
-0.021683
0.021683
-0.528824
-0.528885
1.570258
2.408971
1.213999
-0.021683
0.528824
0.491967
0.27972
0.019394
0.00047
0.867889
0.828801
-0.021689
2
train
H1
H09
1,000
1,000
0
0
0
-0.618361
0.618361
-1.711999
-1.732947
28.611154
33.31602
22.725686
-0.618361
1.711999
0
3.003104
0.004418
0.382507
14.593668
14.438941
-0.618516
2
train
H0
H09
20
20
10
15
10
1.613509
-1.658343
-1.341576
-1.366361
2.458576
5.519014
2.722458
1.613509
1.658343
0.085822
1.866944
2.304446
2.769231
0.375116
0.329434
1.717859
2
train
H1
H09
20
20
10
0
10
1.465788
-1.462146
-1.45169
-1.451463
2.135163
4.718955
2.244113
1.465788
1.462146
0.135562
2.106744
2.048406
2.14688
0.95002
0.836153
1.492525
2
train
H0
H09
30
30
10
6.666667
3.333333
-0.665371
0.678855
0.548313
0.544384
0.321429
3.526638
0.453633
-0.665371
0.678855
0.317324
0.296354
0.321465
0.458742
0.114246
0.069624
-0.689078
2
train
H1
H09
30
30
10
3.333333
10
0.663673
-0.630324
-1.183828
-1.192894
2.327787
2.663412
2.422656
-1.192894
1.183828
0.297802
1.422995
0.797557
0.395538
2.133331
2.15519
0.632164
2
train
H0
H09
50
50
10
16
12
-0.868584
0.823721
1.205871
1.210778
1.922631
2.931155
1.81266
-0.868584
1.205871
0.397842
1.465983
0.960477
0.677007
2.090473
1.975542
-0.845482
2
train
H1
H09
50
50
10
10
8
-0.147958
0.121446
-0.069474
-0.069194
0.535954
3.277591
0.214619
-0.147958
0.121446
0.350774
0.004788
0.015356
0.0147
0.079286
0.031639
-0.124077
2
train
H0
H09
75
75
10
6.666667
2.666667
0.696139
-0.707291
-0.440419
-0.437942
0.388137
2.835377
0.622907
0.696139
0.707291
0.417709
0.191793
0.325162
0.499452
0
0.00402
0.710457
2
train
H1
H09
75
75
10
4
14.666667
0.99994
-0.9658
-1.514903
-1.513108
2.753566
3.224762
2.860044
0.99994
1.514903
0.239304
2.289496
1.525143
0.930792
2.666043
2.783886
0.983312
2
train
H0
H09
100
100
10
13
10
-1.056682
1.049133
0.55063
0.550941
2.793492
6.951189
1.854794
0.550941
1.049133
0.07347
0.303536
0.986865
1.100156
0.035662
0.007798
-1.072734
2
train
H1
H09
100
100
10
17
10
-0.651351
0.698667
-0.095193
-0.095922
3.793401
4.889172
2.939656
-0.651351
0.698667
0.180095
0.009201
0.2518
0.489584
1.078589
0.960852
-0.715811
2
train
H0
H09
150
150
10
8
8
-0.026938
0.051732
0.262344
0.262296
0.631774
3.688973
0.258022
-0.026938
0.262344
0.297067
0.068799
0.000946
0.002673
0.229686
0.176678
-0.053055
2
train
H1
H09
150
150
10
6
11.333333
-0.423251
0.45779
-0.377163
-0.377385
3.55461
4.238838
2.907222
-0.423251
0.45779
0.233725
0.14242
0.050987
0.209713
1.450345
1.326539
-0.459966
2
train
H0
H09
200
200
10
8
12
2.516988
-2.474217
-2.780713
-2.814503
7.969144
10.613896
7.921431
-2.814503
2.780713
0.012234
7.921425
6.825048
6.134066
5.710066
5.569994
2.505313
2
train
H1
H09
200
200
10
5.5
14.5
1.148055
-1.167441
-1.055319
-1.052659
1.143198
3.42743
1.323669
-1.052659
1.167441
0.234614
1.108091
1.12602
1.361769
0.418516
0.356834
1.188558
2
train
H0
H09
300
300
10
9
10
-2.158487
2.176363
2.14044
2.154563
4.658974
7.39308
4.936163
-2.158487
2.176363
0.026595
4.64214
4.423472
4.748848
2.453052
2.364248
-2.217416
2
train
H1
H09
300
300
10
13.666667
9.666667
0.484685
-0.419008
-1.447035
-1.462216
6.209443
7.177058
5.534349
0.484685
1.447035
0.062839
2.138077
0.609989
0.17538
4.765658
4.627093
0.427768
2
train
H0
H09
500
500
10
8.8
9.4
-2.01509
2.0254
1.843956
1.848577
3.778012
5.648899
4.083559
-2.01509
2.0254
0.040295
3.417237
3.847139
4.106533
1.365935
1.321094
-2.050712
2
train
H1
H09
500
500
10
10
7.6
0.039148
-0.031798
-1.105777
-1.115759
8.510262
21.047096
5.55823
0.039148
1.105777
0.000103
1.244918
0.070022
0.001011
4.142022
3.988959
0.033431
2
train
H0
H09
1,000
1,000
10
8.8
9.6
0.922457
-0.94235
-0.460894
-0.460547
1.501363
1.448472
1.396384
0.922457
0.94235
0.338162
0.212104
0.632571
0.887703
0.028369
0.024189
0.957804
2
train
H1
H09
1,000
1,000
10
11
9.9
0.800521
-0.704632
-2.97977
-3.033938
33.253053
40.10623
28.111264
-3.033938
2.97977
0
9.204777
2.092891
0.496478
23.955315
23.822728
0.707805
2
train
H0
H09
20
20
20
25
30
-0.489995
0.431815
0.873375
0.903349
2.916815
6.540015
2.687136
-0.489995
0.873375
0.088098
0.816039
0.375249
0.185774
2.256311
2.118252
-0.386085
2
train
H1
H09
20
20
20
25
25
2.235238
-2.130004
-2.256045
-2.562383
7.062379
10.130391
6.942343
-2.562383
2.256045
0.01749
6.565808
5.51306
4.722328
5.443286
5.305831
2.273189
2
train
H0
H09
30
30
20
20
23.333333
1.320179
-1.27684
-1.394267
-1.397802
1.957376
2.110709
1.96392
1.320179
1.394267
0.182246
1.953851
1.775606
1.612556
1.098392
1.028152
1.333872
2
train
H1
H09
30
30
20
33.333333
16.666667
-0.099818
0.241681
0.131448
0.132203
0.131164
5.849383
0.019493
0.132203
0.241681
0.119172
0.017478
0.006085
0.058554
0.03879
0.003085
-0.262609
2
train
H0
H09
50
50
20
14
26
1.526161
-1.735912
-0.183403
-0.187362
13.550731
14.044535
12.9639
1.526161
1.735912
0.001531
0.035105
1.368958
3.015707
2.159878
1.930292
1.787284
2
train
H1
H09
50
50
20
12
10
0.696697
-0.68806
-1.216487
-1.229279
2.795813
4.834126
2.417037
-1.229279
1.216487
0.184354
1.511126
0.745113
0.472201
2.178677
1.988738
0.714364
2
train
H0
H09
75
75
20
12
21.333333
0.381387
-0.515845
0.382749
0.388188
3.569072
3.933278
3.386246
0.388188
0.515845
0.183944
0.15069
0.024808
0.265724
1.707997
1.579178
0.528313
2
train
H1
H09
75
75
20
20
13.333333
1.143528
-1.128584
-1.529941
-1.559902
2.886791
2.959274
2.854009
-1.559902
1.529941
0.240027
2.433293
1.738916
1.279481
2.571662
2.508678
1.169641
2
train
H0
H09
100
100
20
24
21
0.424036
-0.550427
0.277813
0.276144
2.546094
2.585354
2.723251
0.276144
0.550427
0.256244
0.076256
0.06169
0.301412
1.259507
1.180659
0.565403
2
train
H1
H09
100
100
20
20
26
1.650331
-1.576203
-1.996758
-2.033362
4.67436
5.502432
4.503707
-2.033362
1.996758
0.105204
4.134562
3.0422
2.484837
3.987809
3.885363
1.618086
2
train
H0
H09
150
150
20
19.333333
21.333333
0.636023
-0.715232
-0.169219
-0.168555
1.122398
0.952303
1.230551
-0.168555
0.715232
0.458722
0.028411
0.249647
0.511159
0.214195
0.178954
0.740953
2
train
H1
H09
150
150
20
26
19.333333
-0.756165
0.85529
-0.131541
-0.132662
4.734679
5.192519
4.570101
-0.756165
0.85529
0.101769
0.017599
0.302132
0.731306
1.728907
1.687254
-0.88493
2
train
H0
H09
200
200
20
23.5
17.5
-1.958533
1.943005
1.940271
1.945707
3.939458
4.211128
3.998907
-1.958533
1.943005
0.044681
3.785776
3.931746
3.777012
2.030841
2.045543
-2.007641
2
train
H1
H09
200
200
20
22.5
17.5
-0.241015
0.219054
0.098927
0.099097
0.345085
3.153035
0.138347
0.099097
0.219054
0.368627
0.00982
0.063572
0.048357
0.004415
0.000839
-0.227784
2
train
H0
H09
300
300
20
22.666667
21
0.658146
-0.523682
-0.751761
-0.75378
0.708496
5.971152
0.570587
-0.75378
0.751761
0.113022
0.568185
0.614688
0.2744
0.433613
0.529705
0.541537
2
train
H1
H09
300
300
20
19
21.333333
2.099958
-1.972159
-3.274803
-3.347696
18.72556
26.749108
16.884624
-3.347696
3.274803
0.000007
11.207067
5.956907
3.895952
16.651131
16.374158
2.052982
2
train
H0
H09
500
500
20
20.2
21
1.530398
-1.527242
-1.179355
-1.181209
2.94943
4.165112
2.544704
-1.181209
1.527242
0.113867
1.395254
2.218913
2.332887
0.199182
0.230487
1.581047
2
train
H1
H09
500
500
20
21.6
21
1.761057
-1.663601
-2.850647
-2.896487
15.542582
26.683402
13.221374
-2.896487
2.850647
0.000007
8.389635
4.013613
2.771473
13.173431
12.938986
1.726105
2
train
H0
H09
1,000
1,000
20
20.1
21.2
0.019399
-0.071656
0.503932
0.503986
1.821081
2.667763
1.440817
0.503986
0.503932
0.445734
0.254002
0.006543
0.005121
1.035541
0.980222
0.073696
2
train
H1
H09
1,000
1,000
20
19.5
23.2
2.832701
-2.714401
-3.990994
-4.025219
21.964195
29.804242
19.892875
-4.025219
3.990994
0.000002
16.202391
9.661915
7.371915
19.542866
19.358765
2.81547