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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CoxMantel_test
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BN_GPH_test
float64
0
109
BN_MCE_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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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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3
train
H0
H15
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train
H1
H15
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20
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train
H0
H15
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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
H15
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train
H1
H15
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train
H0
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train
H1
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train
H0
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train
H1
H15
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train
H0
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train
H1
H15
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train
H0
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3
train
H1
H15
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train
H0
H15
20
20
20
25
15
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train
H1
H15
20
20
20
20
20
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train
H0
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train
H1
H15
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train
H0
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train
H1
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train
H0
H15
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train
H1
H15
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train
H0
H15
100
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20
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train
H1
H15
100
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train
H0
H15
150
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train
H1
H15
150
150
20
18.666667
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train
H0
H15
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21
19
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train
H1
H15
200
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20
21
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train
H0
H15
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train
H1
H15
300
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train
H0
H15
500
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20
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train
H1
H15
500
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train
H0
H15
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train
H1
H15
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20
18.7
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train
H0
H15
20
20
30
35
20
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train
H1
H15
20
20
30
45
50
0.153992
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train
H0
H15
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30
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train
H1
H15
30
30
30
43.333333
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train
H0
H15
50
50
30
40
38
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train
H1
H15
50
50
30
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34
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train
H0
H15
75
75
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33.333333
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train
H1
H15
75
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30
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train
H0
H15
100
100
30
33
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train
H1
H15
100
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30
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30
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train
H0
H15
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train
H1
H15
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train
H0
H15
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34
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3
train
H1
H15
200
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30
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train
H0
H15
300
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30
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3
train
H1
H15
300
300
30
35.666667
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0.036074
-0.335879
0.889729
0.888447
5.928804
8.546498
6.824588
0.888447
0.889729
0.032965
0.789338
0.044094
0.112864
4.296861
4.480182
0.341488
3
train
H0
H15
500
500
30
28
31.4
1.835742
-1.932778
-1.34249
-1.340715
4.487741
4.432049
4.493246
1.835742
1.932778
0.048829
1.797516
3.072573
3.737208
0.078821
0.100795
1.970079
3
train
H1
H15
500
500
30
30.2
29
1.390592
-1.661949
-0.237159
-0.237249
8.715007
12.587677
10.573738
1.390592
1.661949
0.005058
0.056287
1.016085
2.764982
2.169626
2.161411
1.704488
3
train
H0
H15
1,000
1,000
30
29.3
30.9
1.342481
-1.239439
-1.66288
-1.664527
3.324974
4.5325
3.150352
-1.664527
1.66288
0.205854
2.770649
1.875768
1.536286
2.946204
2.935572
1.265047
3
train
H1
H15
1,000
1,000
30
27.8
31.3
4.176468
-4.468934
-2.5822
-2.583963
28.131635
30.120809
30.434013
4.176468
4.468934
0
6.676866
14.294636
20.017081
0.063924
0.059791
4.564466
3
train
H0
H15
20
20
40
50
35
-2.90492
2.929005
2.685515
3.122114
9.844885
14.269966
9.80733
-2.90492
2.929005
0.001707
9.747593
9.955488
9.349139
3.589979
3.960895
-3.136997
3
train
H1
H15
20
20
40
25
40
1.611386
-1.629796
-1.571365
-1.607237
2.719672
4.873913
2.664174
-1.607237
1.629796
0.095683
2.583212
2.86768
2.674136
1.30491
1.485465
1.66615
3
train
H0
H15
30
30
40
33.333333
36.666667
0.711082
-0.675351
-0.672714
-0.667398
0.4726
2.829665
0.508613
-0.667398
0.675351
0.41864
0.44542
0.413033
0.456374
0.113109
0.093166
0.694621
3
train
H1
H15
30
30
40
30
43.333333
0.994257
-0.827265
-1.27976
-1.278722
2.202902
3.261655
2.09688
-1.278722
1.27976
0.350484
1.635129
1.010467
0.683121
1.813038
1.645406
0.88035
3
train
H0
H15
50
50
40
22
48
2.05327
-1.857898
-2.462288
-2.470032
6.956731
6.917191
6.991415
-2.470032
2.462288
0.030327
6.10106
4.55544
3.449682
6.240656
6.112972
1.918264
3
train
H1
H15
50
50
40
50
44
0.390253
-0.536854
-0.206324
-0.206795
0.50478
3.326868
0.6224
-0.206795
0.536854
0.343921
0.042764
0.134167
0.288121
0.091599
0.154199
0.558546
3
train
H0
H15
75
75
40
33.333333
33.333333
-0.263574
0.413701
-0.137121
-0.136527
1.366197
1.371219
1.410823
-0.136527
0.413701
0.493905
0.01864
0.040466
0.17112
0.511046
0.423882
-0.417461
3
train
H1
H15
75
75
40
33.333333
40
0.498248
-0.73272
-0.025873
-0.025822
1.682241
2.733584
2.022826
0.498248
0.73272
0.363705
0.000667
0.175048
0.536646
0.643241
0.652682
0.750245
3
train
H0
H15
100
100
40
40
43
-0.024364
0.09435
-0.141017
-0.14066
0.312668
1.538271
0.375823
-0.14066
0.141017
0.673466
0.019785
0.001363
0.008894
0.12727
0.136139
-0.094069
3
train
H1
H15
100
100
40
39
44
1.703065
-1.93287
-1.143548
-1.138941
5.035404
8.687898
5.793953
1.703065
1.93287
0.033742
1.297187
2.561714
3.750657
0.030677
0.045968
1.980438
3
train
H0
H15
150
150
40
47.333333
36.666667
-1.654264
1.62144
1.724453
1.719754
2.988253
7.901769
2.960106
1.719754
1.724453
0.048086
2.957552
2.473107
2.635394
2.025655
1.754421
-1.667237
3
train
H1
H15
150
150
40
38.666667
42
0.806122
-1.065597
-0.162718
-0.162386
5.196351
6.32186
4.845015
-0.162386
1.065597
0.088699
0.026369
0.599222
1.134424
0.999759
0.906525
1.098287
3
train
H0
H15
200
200
40
42
37
-0.471725
0.470921
0.39568
0.394787
0.235058
0.312891
0.25409
-0.471725
0.470921
0.629583
0.155857
0.183456
0.221594
0.038488
0.054727
-0.482314
3
train
H1
H15
200
200
40
40.5
43.5
1.094274
-1.038486
-1.044719
-1.044625
1.188127
1.149204
1.196401
-1.044625
1.044719
0.284174
1.091242
1.097851
1.078327
0.439048
0.478364
1.07099
3
train
H0
H15
300
300
40
41
46
0.71051
-0.788297
-0.496552
-0.495462
0.743151
2.058152
0.893096
-0.495462
0.788297
0.417694
0.245482
0.438103
0.621332
0.004392
0.01212
0.810428
3
train
H1
H15
300
300
40
41.333333
36.333333
0.626265
-1.097755
0.603018
0.603701
14.66889
19.317383
15.937028
0.603701
1.097755
0.000235
0.364455
0.126216
1.206916
6.540079
6.452457
1.125088
3
train
H0
H15
500
500
40
40
38.4
-0.351202
0.501189
-0.07233
-0.072567
2.49217
6.837152
1.939949
-0.072567
0.501189
0.077273
0.005266
0.163366
0.251122
0.67307
0.614409
-0.51441
3
train
H1
H15
500
500
40
36.2
42.2
3.296144
-3.56251
-2.451299
-2.452154
14.21613
18.745034
15.415905
3.296144
3.56251
0.000238
6.013059
9.753208
12.72045
0.241746
0.222726
3.67535
3
train
H0
H15
1,000
1,000
40
40.3
40.9
1.334355
-1.425123
-0.991566
-0.991544
2.575936
2.847494
2.706396
1.334355
1.425123
0.143479
0.98316
1.567775
2.031091
0.016094
0.016516
1.462956
3
train
H1
H15
1,000
1,000
40
42.2
39.6
0.638157
-1.364375
1.118438
1.12125
31.983112
34.434713
34.046648
1.12125
1.364375
0
1.257203
0.10285
1.863189
15.544027
15.321674
1.409225
3
train
H0
H15
20
20
50
55
55
0.240431
-0.221269
-0.26225
-0.260007
0.075354
0.535032
0.072617
-0.260007
0.26225
0.818521
0.067604
0.048297
0.048858
0.003231
0.000002
0.229447
3
train
H1
H15
20
20
50
75
50
-1.780651
1.838356
1.65169
1.633573
3.543332
6.744325
3.458576
-1.780651
1.838356
0.044824
2.66856
3.574444
3.443781
0.317005
0.637273
-2.006301
3
train
H0
H15
30
30
50
33.333333
46.666667
0.464479
-0.648399
-0.107106
-0.11009
1.896281
2.231076
1.816147
-0.11009
0.648399
0.4033
0.01212
0.194802
0.419248
0.500818
0.441238
0.673393
3
train
H1
H15
30
30
50
46.666667
50
0.377332
-0.179073
-0.645974
-0.632968
1.155191
1.738325
1.068562
-0.632968
0.645974
0.586091
0.400648
0.091878
0.031927
0.7591
0.591865
0.193693
3
train
H0
H15
50
50
50
54
52
-0.513846
0.526443
0.430109
0.430246
0.395444
2.244054
0.341996
-0.513846
0.526443
0.523323
0.185112
0.305215
0.276766
0.057884
0.092628
-0.554197
3
train
H1
H15
50
50
50
54
52
0.880623
-1.13805
-0.554194
-0.555036
2.456318
3.358426
2.558939
0.880623
1.13805
0.231505
0.308065
0.81768
1.296733
0.161757
0.15559
1.19649
3
train
H0
H15
75
75
50
53.333333
57.333333
-0.471352
0.609337
0.23658
0.236254
1.352357
1.729052
1.283932
0.236254
0.609337
0.526257
0.055816
0.253782
0.371479
0.159368
0.109664
-0.627147
3
train
H1
H15
75
75
50
46.666667
64
2.363382
-2.432974
-2.13938
-2.156903
6.194323
10.219239
6.330001
-2.156903
2.432974
0.011881
4.652229
5.346458
5.95845
1.28741
1.259601
2.51565
3
train
H0
H15
100
100
50
39
46
0.408848
-0.283261
-0.652422
-0.650312
0.981621
2.826275
1.089747
-0.650312
0.652422
0.419193
0.422906
0.24573
0.080132
0.832286
0.928626
0.292734
3
train
H1
H15
100
100
50
52
40
-2.350995
2.327437
2.244492
2.254594
5.573621
5.597481
5.560604
2.254594
2.327437
0.013886
5.083195
5.571414
5.441028
2.265039
2.285654
-2.460199
3
train
H0
H15
150
150
50
51.333333
56
0.881518
-0.904764
-0.841524
-0.838375
0.746233
2.726929
0.781702
-0.838375
0.904764
0.347948
0.702873
0.709863
0.818246
0.215288
0.162942
0.938578
3
train
H1
H15
150
150
50
42.666667
53.333333
2.361331
-2.466762
-2.03254
-2.032561
6.145957
7.885079
6.396781
-2.032561
2.466762
0.009675
4.131305
5.239625
6.089815
0.775741
0.755352
2.587238
3
train
H0
H15
200
200
50
54.5
50.5
-0.30765
0.06477
0.559154
0.557875
1.145227
1.233529
1.179789
0.557875
0.559154
0.554386
0.311225
0.072075
0.004192
1.076549
1.057949
-0.069147
3
train
H1
H15
200
200
50
53.5
46
-0.385211
0.025657
0.938994
0.937173
4.571805
10.072907
5.112894
-0.385211
0.938994
0.017956
0.878294
0.235479
0.000659
3.884404
4.000485
-0.030368
3
train
H0
H15
300
300
50
51.666667
51
-1.070427
1.094088
0.953568
0.956141
1.243225
1.947206
1.28619
0.956141
1.094088
0.258296
0.914205
1.062623
1.197179
0.26224
0.262286
-1.130428
3
train
H1
H15
300
300
50
49.333333
49
0.994419
-1.316081
-0.385974
-0.385486
5.782296
5.786821
5.924574
-0.385486
1.316081
0.051701
0.148599
0.8907
1.73342
0.920358
0.843293
1.380699
3
train
H0
H15
500
500
50
56.2
48.2
-1.230657
0.855775
1.664041
1.662836
5.321079
5.413666
5.291351
-1.230657
1.664041
0.070957
2.765022
1.332101
0.73212
5.298483
5.343417
-0.889164
3
train
H1
H15
500
500
50
52.2
50.8
1.871011
-2.492673
-0.918008
-0.918731
14.890128
22.260318
16.060601
1.871011
2.492673
0.000058
0.844066
3.318897
6.229311
1.6573
1.644281
2.598878
3
train
H0
H15
1,000
1,000
50
50.9
48.6
0.228815
-0.326677
-0.036483
-0.036485
0.629876
0.678218
0.59773
-0.036485
0.326677
0.736237
0.001331
0.062509
0.106724
0.179213
0.183319
0.336841
3
train
H1
H15
1,000
1,000
50
50.1
47.7
1.07633
-1.722624
0.062922
0.062914
17.584481
25.601815
19.114508
0.062914
1.722624
0.000012
0.003958
0.893746
2.969834
5.695536
5.735397
1.789946