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
float64
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95
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float64
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10.1
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float64
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logrank_test
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6.76
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
4
train
H0
H29
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train
H1
H29
20
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10
5
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train
H0
H29
30
30
10
10
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train
H1
H29
30
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10
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train
H0
H29
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train
H1
H29
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0
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train
H0
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train
H1
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train
H0
H29
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train
H1
H29
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train
H0
H29
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train
H1
H29
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train
H0
H29
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train
H1
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train
H0
H29
300
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10
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train
H1
H29
300
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train
H0
H29
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train
H1
H29
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11
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train
H0
H29
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train
H1
H29
1,000
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10
8.7
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train
H0
H29
20
20
20
25
20
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train
H1
H29
20
20
20
15
10
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train
H0
H29
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20
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train
H1
H29
30
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40
30
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train
H0
H29
50
50
20
24
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train
H1
H29
50
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train
H0
H29
75
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20
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train
H1
H29
75
75
20
30.666667
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train
H0
H29
100
100
20
21
19
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train
H1
H29
100
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16
17
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train
H0
H29
150
150
20
20
22.666667
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train
H1
H29
150
150
20
22
14.666667
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train
H0
H29
200
200
20
14.5
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train
H1
H29
200
200
20
24
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train
H0
H29
300
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19.333333
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train
H1
H29
300
300
20
18.666667
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2.344866
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train
H0
H29
500
500
20
21.2
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train
H1
H29
500
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20
20.2
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3.255218
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train
H0
H29
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20
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train
H1
H29
1,000
1,000
20
19.7
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5.15249
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28.91217
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train
H0
H29
20
20
30
15
10
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train
H1
H29
20
20
30
35
25
0.344016
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train
H0
H29
30
30
30
26.666667
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0.969822
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train
H1
H29
30
30
30
43.333333
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train
H0
H29
50
50
30
34
20
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train
H1
H29
50
50
30
32
34
0.747427
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train
H0
H29
75
75
30
32
38.666667
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4
train
H1
H29
75
75
30
32
26.666667
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train
H0
H29
100
100
30
37
31
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train
H1
H29
100
100
30
33
24
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train
H0
H29
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150
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train
H1
H29
150
150
30
27.333333
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4
train
H0
H29
200
200
30
30
33.5
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train
H1
H29
200
200
30
35.5
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0.420265
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4
train
H0
H29
300
300
30
24
26
1.040038
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4
train
H1
H29
300
300
30
25.666667
29.333333
2.109948
-2.38638
-0.795653
-0.79727
11.540138
26.206131
14.744433
2.109948
2.38638
0.000009
0.63564
2.648112
5.719917
1.382519
1.445515
2.434996
4
train
H0
H29
500
500
30
28.6
28.4
-0.401591
0.393874
0.336652
0.336116
0.22808
1.194903
0.17168
-0.401591
0.393874
0.687438
0.112974
0.169025
0.155101
0.030368
0.048418
-0.402334
4
train
H1
H29
500
500
30
26.2
24.6
3.578005
-3.922016
-1.532112
-1.53467
30.330359
36.177235
34.68678
3.578005
3.922016
0
2.355211
8.573602
15.472595
2.061918
2.016884
4.002656
4
train
H0
H29
1,000
1,000
30
30.1
30.2
1.937562
-2.077516
-1.174274
-1.174685
7.675493
8.938176
6.938993
1.937562
2.077516
0.030124
1.379886
3.478948
4.317365
0.044458
0.038916
2.122655
4
train
H1
H29
1,000
1,000
30
29.6
26.8
2.067363
-2.513685
-0.02757
-0.02758
25.171211
41.277881
30.954197
2.067363
2.513685
0
0.000761
1.895563
6.330445
7.784038
7.835068
2.568028
4
train
H0
H29
20
20
40
45
25
-2.073284
2.081056
1.849556
1.872841
4.552551
4.622257
4.510281
-2.073284
2.081056
0.030012
3.507532
4.264888
4.374039
0.373393
0.781662
-2.169935
4
train
H1
H29
20
20
40
25
55
2.019318
-1.941815
-2.072739
-2.064442
4.262301
7.462865
4.273902
-2.064442
2.072739
0.041889
4.261921
3.839682
3.778536
2.615873
2.336584
2.034623
4
train
H0
H29
30
30
40
36.666667
50
1.429655
-1.085847
-2.01169
-2.112748
10.560948
10.48411
10.619727
-2.112748
2.01169
0.004943
4.463703
2.31142
1.194043
8.93765
8.741347
1.156922
4
train
H1
H29
30
30
40
26.666667
30
1.314597
-1.410685
-0.826607
-0.821797
3.118299
3.130965
3.131418
1.314597
1.410685
0.150207
0.67535
1.449825
1.992955
0.014469
0.005942
1.438802
4
train
H0
H29
50
50
40
36
28
-0.694979
0.548414
1.19171
1.200915
3.643046
5.601277
3.360044
1.200915
1.19171
0.132705
1.442196
0.602898
0.300086
3.353434
3.102247
-0.58394
4
train
H1
H29
50
50
40
40
44
0.669447
-1.193756
0.330095
0.343644
18.425304
18.872976
18.148971
0.343644
1.193756
0.000115
0.118091
0.30991
1.434884
4.72022
4.543919
1.396898
4
train
H0
H29
75
75
40
49.333333
50.666667
-0.484765
0.735296
0.070813
0.071167
2.798804
3.243961
2.665526
0.071167
0.735296
0.263747
0.005065
0.289088
0.541326
0.861611
0.773034
-0.759496
4
train
H1
H29
75
75
40
36
30.666667
0.778862
-0.963148
-0.175623
-0.175722
3.03826
7.671831
3.615381
0.778862
0.963148
0.053304
0.030878
0.323319
0.930534
0.75462
0.787331
0.979268
4
train
H0
H29
100
100
40
41
43
-0.364249
0.288627
0.526129
0.529631
0.441811
3.095345
0.539529
-0.364249
0.526129
0.377157
0.280509
0.22075
0.083616
0.557353
0.566255
-0.29216
4
train
H1
H29
100
100
40
44
39
0.1621
-0.29413
0.119624
0.119214
0.697598
4.052554
0.902746
0.119214
0.29413
0.255845
0.014212
0.002857
0.08654
0.387029
0.473837
0.300988
4
train
H0
H29
150
150
40
47.333333
40
-0.466025
0.132112
1.023302
1.019131
3.983616
4.004868
4.054896
1.019131
1.023302
0.131671
1.038628
0.227232
0.017435
3.387409
3.236446
-0.140747
4
train
H1
H29
150
150
40
47.333333
32.666667
-0.502882
0.173191
1.249915
1.247948
5.774063
9.194901
6.536464
-0.502882
1.249915
0.026809
1.557374
0.486309
0.030037
5.184142
5.259896
-0.18161
4
train
H0
H29
200
200
40
37
42
1.38954
-1.392083
-1.27209
-1.27178
1.88358
2.694974
1.963724
-1.27178
1.392083
0.15041
1.617423
1.781557
1.937809
0.549049
0.521519
1.438084
4
train
H1
H29
200
200
40
40
38
0.388183
-0.565165
0.03062
0.030517
1.193369
3.027556
1.585604
0.388183
0.565165
0.387396
0.000931
0.071758
0.319383
0.559173
0.586343
0.582908
4
train
H0
H29
300
300
40
43
37.666667
-0.552043
0.51137
0.544139
0.543863
0.301697
0.386939
0.307638
0.543863
0.544139
0.600268
0.295787
0.25931
0.261389
0.19425
0.196537
-0.524014
4
train
H1
H29
300
300
40
37.333333
37.666667
1.923022
-2.393653
-0.754289
-0.753574
11.397296
19.802924
13.700865
1.923022
2.393653
0.000186
0.567874
2.853962
5.74091
1.459354
1.564114
2.477323
4
train
H0
H29
500
500
40
37.6
41.8
-0.008668
0.064637
-0.136984
-0.137015
0.206116
0.294256
0.237737
-0.008668
0.136984
0.887924
0.018773
0.00112
0.004177
0.115239
0.113398
-0.06648
4
train
H1
H29
500
500
40
41.2
32.2
0.813929
-1.293271
0.497965
0.498139
13.509047
18.3363
15.313853
0.498139
1.293271
0.000375
0.248143
0.235079
1.676365
6.006315
5.947586
1.343785
4
train
H0
H29
1,000
1,000
40
42
41.4
-0.453147
0.201948
0.930669
0.930505
2.753465
4.757362
3.057671
0.930505
0.930669
0.190451
0.86584
0.290325
0.040787
2.556513
2.661758
-0.20882
4
train
H1
H29
1,000
1,000
40
41.5
40.2
3.943599
-4.914518
-1.536566
-1.539092
62.065589
93.466887
69.293814
3.943599
4.914518
0
2.368805
11.958871
24.253978
7.448689
7.485142
5.078533
4
train
H0
H29
20
20
50
45
60
0.874219
-0.829795
-0.864523
-0.861765
0.75476
3.594956
0.766321
-0.861765
0.864523
0.308654
0.742638
0.677573
0.691181
0.27558
0.242948
0.881982
4
train
H1
H29
20
20
50
50
75
1.14585
-1.172093
-1.232096
-1.213463
1.547854
3.852024
1.529264
-1.213463
1.232096
0.205648
1.472493
1.376165
1.36617
0.974576
0.912194
1.265622
4
train
H0
H29
30
30
50
53.333333
63.333333
0.778937
-0.665966
-0.801446
-0.80622
0.650005
2.411175
0.652186
-0.80622
0.801446
0.464151
0.649991
0.625753
0.443337
0.257226
0.363581
0.732029
4
train
H1
H29
30
30
50
46.666667
53.333333
0.793846
-0.962432
-0.564047
-0.570606
1.540333
1.979718
1.490941
-0.570606
0.962432
0.303383
0.325591
0.749386
0.935951
0.039035
0.012891
1.029206
4
train
H0
H29
50
50
50
54
50
-1.07205
1.247976
0.717831
0.713386
3.251236
4.748232
3.393918
0.713386
1.247976
0.18324
0.508919
1.077864
1.562753
0.091662
0.052359
-1.294727
4
train
H1
H29
50
50
50
48
40
0.875523
-0.983818
-0.473972
-0.474106
2.371767
3.982452
2.564741
0.875523
0.983818
0.263365
0.224777
0.578479
0.976914
0.203708
0.224961
1.027446
4
train
H0
H29
75
75
50
52
48
-0.345497
0.292114
0.422375
0.421699
0.255292
0.256629
0.254349
0.421699
0.422375
0.761006
0.17783
0.125741
0.085223
0.373424
0.367093
-0.30416
4
train
H1
H29
75
75
50
66.666667
52
-0.72616
0.159128
1.231278
1.225259
5.314136
5.637173
5.39647
1.225259
1.231278
0.067324
1.501258
0.353341
0.025314
4.846455
4.851805
-0.179981
4
train
H0
H29
100
100
50
40
50
0.626046
-0.507917
-0.888313
-0.886742
1.542891
1.696622
1.503901
-0.886742
0.888313
0.471446
0.786312
0.445858
0.257646
1.286136
1.297381
0.531483
4
train
H1
H29
100
100
50
51
37
0.761675
-1.255562
0.259605
0.260241
11.66175
13.478567
12.222721
0.260241
1.255562
0.002218
0.067725
0.398461
1.581191
3.893134
3.854166
1.339435
4
train
H0
H29
150
150
50
50
48
0.302767
-0.29605
-0.339843
-0.339654
0.12826
0.222345
0.124407
-0.339654
0.339843
0.757288
0.115365
0.092668
0.087621
0.069284
0.061684
0.309044
4
train
H1
H29
150
150
50
48
58.666667
2.734107
-2.912058
-2.398636
-2.405282
8.398269
9.518335
8.56716
2.734107
2.912058
0.001875
5.785381
7.418885
8.503028
1.268257
1.303148
3.109317
4
train
H0
H29
200
200
50
47.5
48.5
0.639176
-0.609303
-0.718062
-0.719118
0.606443
2.18525
0.570518
-0.719118
0.718062
0.533809
0.517131
0.359707
0.371148
0.470331
0.410766
0.622202
4
train
H1
H29
200
200
50
47
54.5
2.733894
-3.143167
-2.014613
-2.01485
12.700152
23.789243
13.746589
-2.01485
3.143167
0.000028
4.059621
6.875146
9.911652
0.021209
0.014446
3.309899
4
train
H0
H29
300
300
50
47.666667
49
0.667992
-0.877857
-0.284265
-0.284021
2.358333
2.433022
2.394952
0.667992
0.877857
0.301955
0.080668
0.455803
0.770332
0.368823
0.369869
0.90892
4
train
H1
H29
300
300
50
48.333333
49.666667
3.28159
-3.771199
-2.38787
-2.405321
17.460678
20.032442
18.605323
3.28159
3.771199
0.00007
5.785567
10.438088
14.338989
0.024641
0.040439
3.974973
4
train
H0
H29
500
500
50
48.2
45.2
0.723026
-0.818769
-0.525813
-0.526394
0.998874
1.564928
0.92378
0.723026
0.818769
0.397644
0.277091
0.567664
0.671225
0.000317
0.000007
0.845836
4
train
H1
H29
500
500
50
53
49.4
2.516604
-3.184559
-1.379132
-1.388635
23.016586
25.051239
23.965682
-1.388635
3.184559
0.000006
1.928308
6.182526
10.181395
1.593922
1.540224
3.343279
4
train
H0
H29
1,000
1,000
50
51.3
48.8
-1.495486
1.30322
1.695342
1.697362
3.251118
3.263739
3.245873
-1.495486
1.695342
0.177114
2.881037
2.180397
1.698376
3.182989
3.207955
-1.349693
4
train
H1
H29
1,000
1,000
50
49.9
51.9
5.219373
-6.230552
-3.42959
-3.442114
63.544366
70.645302
66.509926
5.219373
6.230552
0
11.848145
26.820569
39.03003
0.672058
0.643381
6.516153