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
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logrank_test
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CoxMantel_test
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0
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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
float64
0
10.2
MIN3_test
float64
0
1
WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
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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
H22
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train
H1
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train
H0
H22
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train
H1
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train
H0
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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
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
H22
20
20
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20
0
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train
H1
H22
20
20
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10
10
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train
H0
H22
30
30
10
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train
H1
H22
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10
10
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train
H0
H22
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train
H1
H22
50
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train
H0
H22
75
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train
H1
H22
75
75
10
6.666667
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train
H0
H22
100
100
10
7
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train
H1
H22
100
100
10
10
7
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train
H0
H22
150
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10
13.333333
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train
H1
H22
150
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10
12.666667
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train
H0
H22
200
200
10
8.5
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train
H1
H22
200
200
10
9.5
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train
H0
H22
300
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10
8.666667
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train
H1
H22
300
300
10
10.333333
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3
train
H0
H22
500
500
10
10.8
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1.652418
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train
H1
H22
500
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10
8.8
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train
H0
H22
1,000
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10
10.3
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train
H1
H22
1,000
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10
9
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train
H0
H22
20
20
20
25
25
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train
H1
H22
20
20
20
25
25
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3
train
H0
H22
30
30
20
30
20
0.713931
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train
H1
H22
30
30
20
13.333333
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3
train
H0
H22
50
50
20
22
12
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3
train
H1
H22
50
50
20
12
26
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3
train
H0
H22
75
75
20
24
28
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3
train
H1
H22
75
75
20
22.666667
16
0.35364
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3
train
H0
H22
100
100
20
8
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3
train
H1
H22
100
100
20
25
18
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3
train
H0
H22
150
150
20
21.333333
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train
H1
H22
150
150
20
18.666667
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1.00737
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3
train
H0
H22
200
200
20
21
23.5
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3
train
H1
H22
200
200
20
18.5
25
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3
train
H0
H22
300
300
20
18
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3
train
H1
H22
300
300
20
20
18.333333
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2.144321
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0.027104
4.92971
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2.849586
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-2.210015
3
train
H0
H22
500
500
20
21.2
21.6
1.045138
-1.107683
-0.42029
-0.420181
3.133069
3.646788
2.711764
1.045138
1.107683
0.254151
0.176552
0.865752
1.223555
0.211
0.198761
1.140326
3
train
H1
H22
500
500
20
16.2
20
0.50676
-0.51207
-0.06087
-0.060875
1.559428
2.574693
1.075413
0.50676
0.51207
0.461943
0.003706
0.199087
0.261973
0.230629
0.207808
0.5299
3
train
H0
H22
1,000
1,000
20
18.3
19.4
0.904724
-0.860303
-1.123269
-1.123309
1.287469
2.336315
1.326428
-1.123309
1.123269
0.376546
1.261824
0.992909
0.738483
1.172706
1.231806
0.884278
3
train
H1
H22
1,000
1,000
20
21.4
21.3
-2.492845
2.470396
2.537842
2.548922
6.724374
8.998914
6.676816
2.548922
2.537842
0.010656
6.497001
6.41662
6.111167
3.702156
3.847523
-2.553795
3
train
H0
H22
20
20
30
45
20
-0.242367
0.275963
0.240357
0.236523
0.072781
0.664966
0.058751
-0.242367
0.275963
0.750765
0.055943
0.099205
0.084772
0.137574
0.225664
-0.317631
3
train
H1
H22
20
20
30
35
20
-1.300334
1.246173
1.273534
1.250607
1.633276
3.031937
1.709902
-1.300334
1.273534
0.189841
1.564018
1.501971
1.555845
0.866098
0.740695
-1.311049
3
train
H0
H22
30
30
30
36.666667
23.333333
-0.705802
0.565453
1.151914
1.139584
2.361216
2.545684
2.246568
1.139584
1.151914
0.32521
1.298653
0.581367
0.328743
2.371688
2.198125
-0.624857
3
train
H1
H22
30
30
30
36.666667
23.333333
-1.296253
1.308318
1.338353
1.324692
1.756448
3.315269
1.784215
1.324692
1.338353
0.16046
1.754809
1.624744
1.704884
1.316183
1.174309
-1.403526
3
train
H0
H22
50
50
30
42
30
-0.38353
0.421257
0.404487
0.400546
0.16085
0.576832
0.161089
0.400546
0.421257
0.63582
0.160437
0.183582
0.191928
0.15141
0.138917
-0.473551
3
train
H1
H22
50
50
30
42
34
-1.399396
1.350207
1.209051
1.207976
2.295317
5.172554
2.033506
-1.399396
1.350207
0.14149
1.459206
1.997814
1.845778
0.267347
0.422477
-1.470264
3
train
H0
H22
75
75
30
22.666667
28
0.836618
-0.885331
-0.465554
-0.462704
1.32785
1.452469
1.325155
0.836618
0.885331
0.36191
0.214095
0.544634
0.77399
0.030815
0.031014
0.911731
3
train
H1
H22
75
75
30
20
28
0.02261
-0.019063
0.148819
0.149381
0.301911
1.515168
0.204522
0.02261
0.148819
0.678774
0.022315
0.000073
0.000287
0.157879
0.117428
0.019769
3
train
H0
H22
100
100
30
32
26
-1.539245
1.548668
1.272477
1.271484
2.576277
2.532075
2.571522
1.271484
1.548668
0.103727
1.61667
2.17132
2.423632
0.355501
0.406519
-1.627046
3
train
H1
H22
100
100
30
30
37
1.642434
-1.604278
-1.44295
-1.439868
2.905316
3.271634
2.758813
1.642434
1.604278
0.090528
2.073221
2.669718
2.553497
0.634452
0.623076
1.692621
3
train
H0
H22
150
150
30
32.666667
28.666667
-0.246029
0.335876
-0.243495
-0.244365
1.735285
1.75222
1.709468
-0.244365
0.335876
0.425396
0.059714
0.015043
0.117055
0.726781
0.695328
-0.363112
3
train
H1
H22
150
150
30
26.666667
24.666667
-1.266586
1.326895
1.155261
1.155999
1.442942
2.28849
1.604427
-1.266586
1.326895
0.16756
1.336333
1.464247
1.762543
0.530023
0.511314
-1.380088
3
train
H0
H22
200
200
30
31
27
0.210982
-0.252682
-0.150853
-0.151428
0.025746
0.858392
0.057824
-0.151428
0.252682
0.796221
0.02293
0.024306
0.061504
0.000029
0.00002
0.258241
3
train
H1
H22
200
200
30
34
23.5
-1.622974
1.574379
1.629358
1.624389
2.755886
2.799523
2.736991
-1.622974
1.629358
0.101701
2.638639
2.707454
2.480135
1.489773
1.548515
-1.636664
3
train
H0
H22
300
300
30
27.333333
28.333333
0.447362
-0.506806
-0.178197
-0.178239
0.577524
0.685147
0.563885
-0.178239
0.506806
0.59749
0.031769
0.165263
0.253933
0.061636
0.060554
0.528014
3
train
H1
H22
300
300
30
31.666667
26.333333
-2.146033
2.015427
2.647298
2.666929
7.68285
8.0671
7.712751
2.666929
2.647298
0.021144
7.11251
5.262411
4.072203
7.077743
7.318111
-2.123298
3
train
H0
H22
500
500
30
30.4
30.6
-0.273324
0.287906
0.18916
0.189033
0.071209
0.447947
0.101941
0.189033
0.287906
0.759671
0.035734
0.051239
0.084297
0.002017
0.000901
-0.305913
3
train
H1
H22
500
500
30
31
30.2
-0.825402
0.877443
0.823297
0.822733
0.691331
0.678118
0.706946
-0.825402
0.877443
0.353892
0.676889
0.666694
0.770646
0.352478
0.366444
-0.927067
3
train
H0
H22
1,000
1,000
30
31.1
30.7
0.507186
-0.348198
-1.114046
-1.114608
2.878508
3.050377
3.115288
-1.114608
1.114046
0.210632
1.242351
0.471067
0.119519
2.748932
2.747556
0.363396
3
train
H1
H22
1,000
1,000
30
28.3
28.3
-1.476079
1.55287
1.289812
1.289839
1.916224
3.625836
2.210694
1.289839
1.55287
0.105125
1.663684
1.872892
2.413432
0.490633
0.469925
-1.620499
3
train
H0
H22
20
20
40
45
40
0.784456
-0.800043
-0.861209
-0.86302
0.795557
3.219486
0.762452
-0.86302
0.861209
0.359007
0.744803
0.626205
0.614941
0.514289
0.385572
0.824035
3
train
H1
H22
20
20
40
25
30
1.132782
-1.080145
-1.313099
-1.338557
1.887009
2.045447
1.90818
-1.338557
1.313099
0.253914
1.791735
1.49243
1.129619
1.410105
1.463336
1.140893
3
train
H0
H22
30
30
40
50
33.333333
1.177529
-1.395659
-0.582843
-0.596177
3.858208
4.850674
4.093074
1.177529
1.395659
0.129181
0.355428
1.103352
1.932908
0.281692
0.264907
1.511937
3
train
H1
H22
30
30
40
30
50
0.744287
-0.610651
-0.95514
-0.946333
1.0306
2.240785
1.096195
-0.946333
0.95514
0.492032
0.895546
0.67435
0.373961
0.83281
1.054219
0.68708
3
train
H0
H22
50
50
40
42
42
-1.795675
1.893536
1.424344
1.440727
3.952572
4.539573
4.056183
-1.795675
1.893536
0.034057
2.075694
3.05764
3.722528
0.16612
0.135569
-2.119391
3
train
H1
H22
50
50
40
42
34
-0.074949
0.290457
-0.439922
-0.442922
1.940524
6.423782
2.432645
-0.442922
0.439922
0.092717
0.19618
0.008584
0.092378
1.240262
1.468619
-0.310802
3
train
H0
H22
75
75
40
25.333333
37.333333
1.231974
-1.112028
-1.671935
-1.674755
3.391313
4.180066
3.56976
-1.674755
1.671935
0.167817
2.804805
1.974541
1.230957
3.307554
3.397472
1.171926
3
train
H1
H22
75
75
40
41.333333
44
-1.400054
1.422143
1.191715
1.202472
2.110933
2.081685
2.129495
-1.400054
1.422143
0.129849
1.445938
1.85402
2.035018
0.290686
0.326099
-1.514697
3
train
H0
H22
100
100
40
49
36
-2.040732
1.80188
2.471949
2.490696
7.304115
7.97592
7.173569
2.490696
2.471949
0.027687
6.203567
4.374276
3.303203
7.381571
7.149476
-2.00312
3
train
H1
H22
100
100
40
38
34
0.085455
0.061889
-0.375478
-0.375503
0.779133
0.876034
0.745276
0.085455
0.375478
0.688915
0.141002
0.01393
0.00383
0.460278
0.398948
-0.06625
3
train
H0
H22
150
150
40
37.333333
43.333333
-0.55874
0.638952
0.425142
0.42596
0.327665
1.466994
0.397119
-0.55874
0.638952
0.492873
0.181442
0.312879
0.415848
0.01696
0.012165
-0.685746
3
train
H1
H22
150
150
40
45.333333
44
-1.319527
1.089006
1.709186
1.737062
4.257402
4.668909
4.335475
-1.319527
1.709186
0.114436
3.017384
1.924124
1.19596
4.520789
4.575984
-1.167664
3
train
H0
H22
200
200
40
39.5
38.5
0.721142
-0.55009
-1.21858
-1.22655
2.96983
3.291349
3.070276
-1.22655
1.21858
0.215426
1.504425
0.703179
0.29294
2.784476
2.859896
0.584936
3
train
H1
H22
200
200
40
36.5
34.5
-1.822983
1.987919
1.241096
1.239534
4.647975
4.665451
4.890908
-1.822983
1.987919
0.035252
1.536444
2.94603
3.957013
0.000269
0.001277
-2.105453
3
train
H0
H22
300
300
40
36.666667
43.333333
1.717848
-1.638608
-1.561638
-1.560593
3.390134
9.868429
2.97334
-1.560593
1.638608
0.019718
2.435451
3.132402
2.66564
0.888757
0.978631
1.744574
3
train
H1
H22
300
300
40
38
43.333333
1.381504
-1.293071
-1.244597
-1.2416
1.976739
2.218827
1.928881
1.381504
1.293071
0.164929
1.54157
1.951223
1.671901
0.524023
0.511527
1.388682
3
train
H0
H22
500
500
40
39.2
39.8
-2.100697
2.264202
1.375289
1.37766
7.328457
7.614218
7.391571
-2.100697
2.264202
0.014189
1.897948
3.960249
5.156884
0.033379
0.029328
-2.452441
3
train
H1
H22
500
500
40
40.2
40.4
-0.277286
0.635429
-0.381324
-0.381307
2.837801
3.591767
3.314728
-0.381307
0.635429
0.190641
0.145395
0.023239
0.404111
1.614523
1.554474
-0.689003
3
train
H0
H22
1,000
1,000
40
39.8
40.6
-0.881214
0.968212
0.596871
0.59691
0.975545
1.31856
1.20565
-0.881214
0.968212
0.295116
0.356301
0.596854
0.945037
0.000033
0.000318
-1.046964
3
train
H1
H22
1,000
1,000
40
40.4
37.6
-0.564729
0.702626
0.652429
0.652025
0.55649
4.458061
0.439538
0.652025
0.702626
0.216062
0.425137
0.297974
0.494409
0.372797
0.34692
-0.756813