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
0
95
real_perc2
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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
2
train
H0
H18
20
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train
H1
H18
20
20
50
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45
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train
H0
H18
30
30
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43.333333
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train
H1
H18
30
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train
H0
H18
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train
H1
H18
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train
H0
H18
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train
H1
H18
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train
H0
H18
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train
H1
H18
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train
H0
H18
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train
H1
H18
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train
H0
H18
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train
H1
H18
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train
H0
H18
300
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47.666667
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train
H1
H18
300
300
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train
H0
H18
500
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46.8
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train
H1
H18
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train
H0
H18
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2
train
H1
H18
1,000
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50
49.4
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train
H0
H19
20
20
0
0
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train
H1
H19
20
20
0
0
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train
H0
H19
30
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train
H1
H19
30
30
0
0
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train
H0
H19
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train
H1
H19
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train
H0
H19
75
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0
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train
H1
H19
75
75
0
0
0
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train
H0
H19
100
100
0
0
0
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train
H1
H19
100
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train
H0
H19
150
150
0
0
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train
H1
H19
150
150
0
0
0
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train
H0
H19
200
200
0
0
0
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train
H1
H19
200
200
0
0
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train
H0
H19
300
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0
0
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train
H1
H19
300
300
0
0
0
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train
H0
H19
500
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0
0
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train
H1
H19
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0
0
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train
H0
H19
1,000
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0
0
0
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train
H1
H19
1,000
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0
0
0
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train
H0
H19
20
20
10
5
10
2.375225
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5.845647
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train
H1
H19
20
20
10
5
30
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2
train
H0
H19
30
30
10
3.333333
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train
H1
H19
30
30
10
10
13.333333
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train
H0
H19
50
50
10
2
10
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train
H1
H19
50
50
10
6
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train
H0
H19
75
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10
14.666667
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2
train
H1
H19
75
75
10
6.666667
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train
H0
H19
100
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10
10
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train
H1
H19
100
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10
7
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train
H0
H19
150
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10
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train
H1
H19
150
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10
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train
H0
H19
200
200
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train
H1
H19
200
200
10
7
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train
H0
H19
300
300
10
8.666667
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2
train
H1
H19
300
300
10
10.333333
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2.005187
1.166145
1.16318
5.172232
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-1.972344
2.005187
0.042582
1.352988
2.966797
4.025081
0.007064
0.002048
-2.027787
2
train
H0
H19
500
500
10
9.4
9
-1.545
1.511359
1.882
1.8867
3.559845
6.267854
3.63428
1.8867
1.882
0.099281
3.559636
3.135867
2.286783
3.076523
3.264383
-1.533692
2
train
H1
H19
500
500
10
9.4
6.6
-4.470624
4.489426
3.54004
3.555173
19.575367
21.105299
20.854361
-4.470624
4.489426
0.000006
12.639257
17.715761
20.261064
2.096674
2.099301
-4.54149
2
train
H0
H19
1,000
1,000
10
10.1
10.5
-0.850058
0.850886
0.568762
0.568343
1.152285
1.515149
0.882825
0.568343
0.850886
0.387936
0.323014
0.686265
0.724432
0.011146
0.015129
-0.863366
2
train
H1
H19
1,000
1,000
10
10.5
9.3
-1.742732
1.788048
0.628287
0.629451
7.127073
7.134346
6.965228
-1.742732
1.788048
0.030727
0.396208
1.881867
3.199706
0.637507
0.602217
-1.814111
2
train
H0
H19
20
20
20
40
30
-0.003612
0.015762
-0.094981
-0.095307
0.144776
0.345527
0.13051
-0.095307
0.094981
0.936828
0.009084
0.00027
0.000985
0.022843
0.015457
-0.03704
2
train
H1
H19
20
20
20
15
30
0.004493
-0.031596
0.279978
0.277008
0.706069
2.493352
0.527251
0.277008
0.279978
0.476494
0.076734
0.00248
0.000993
0.48843
0.368458
0.016726
2
train
H0
H19
30
30
20
26.666667
23.333333
0.630493
-0.656641
-0.4
-0.395962
0.864766
3.080293
0.612178
-0.395962
0.656641
0.37941
0.156786
0.405264
0.407915
0.001729
0.006824
0.673363
2
train
H1
H19
30
30
20
33.333333
13.333333
-1.371545
1.325319
1.638597
1.638929
2.891699
3.157811
2.849634
-1.371545
1.638597
0.16295
2.686088
2.192044
1.771688
2.79917
2.819795
-1.395218
2
train
H0
H19
50
50
20
18
18
0.645487
-0.612459
-0.825695
-0.823166
0.864042
2.94961
0.756081
0.645487
0.825695
0.39946
0.677602
0.414961
0.365149
0.634788
0.514286
0.623387
2
train
H1
H19
50
50
20
16
18
0.061486
-0.048218
-0.424532
-0.423386
1.412039
6.75524
0.806834
0.061486
0.424532
0.080122
0.179256
0.006488
0.002318
0.737922
0.536424
0.05677
2
train
H0
H19
75
75
20
26.666667
14.666667
-0.327455
0.332129
0.246365
0.245177
0.084345
0.58462
0.123217
-0.327455
0.332129
0.724253
0.060112
0.081272
0.114291
0.015701
0.009315
-0.352781
2
train
H1
H19
75
75
20
20
21.333333
-1.997551
2.099454
0.967199
0.964743
7.710787
10.214148
8.828534
-1.997551
2.099454
0.012103
0.930729
2.687057
4.452253
0.670618
0.656112
-2.123381
2
train
H0
H19
100
100
20
19
20
0.333907
-0.332703
-0.237993
-0.237029
0.212275
0.545655
0.135799
-0.237029
0.332703
0.733657
0.056183
0.126513
0.107829
0.001607
0.004965
0.340265
2
train
H1
H19
100
100
20
21
19
-0.418407
0.440348
0.355622
0.353981
0.129307
3.482414
0.179638
-0.418407
0.440348
0.32305
0.125302
0.090752
0.196133
0.044002
0.020294
-0.459242
2
train
H0
H19
150
150
20
23.333333
18
-1.7697
1.63971
2.2172
2.236738
5.218899
5.835941
5.38614
-1.7697
2.2172
0.067673
5.002995
3.940728
2.696918
5.047011
5.144399
-1.708034
2
train
H1
H19
150
150
20
20
14.666667
-1.576848
1.582423
1.404691
1.402262
2.203948
4.879597
2.4965
-1.576848
1.582423
0.10413
1.966338
2.147305
2.513491
0.696079
0.643016
-1.625155
2
train
H0
H19
200
200
20
22
18.5
-1.545936
1.529946
1.682389
1.68949
2.868782
3.41552
2.854817
1.68949
1.682389
0.111997
2.854378
2.484723
2.348985
2.093287
2.105527
-1.589279
2
train
H1
H19
200
200
20
22.5
21
-1.693414
1.678653
1.575493
1.579511
2.789203
2.97308
2.875663
-1.693414
1.678653
0.082509
2.494855
2.72992
2.828112
1.066732
1.04641
-1.73631
2
train
H0
H19
300
300
20
17
25.333333
1.105288
-1.038547
-1.508108
-1.506115
2.664332
2.628824
2.67588
-1.506115
1.508108
0.262386
2.268382
1.569323
1.075478
2.553099
2.543925
1.073355
2
train
H1
H19
300
300
20
20
19
-2.29449
2.343792
1.461954
1.464068
8.076534
8.574365
7.450625
-2.29449
2.343792
0.015948
2.143496
4.576143
5.512659
0.004215
0.002711
-2.410107
2
train
H0
H19
500
500
20
20.8
19
-0.604109
0.626482
0.328918
0.328847
0.545369
1.164403
0.614891
-0.604109
0.626482
0.51471
0.10814
0.293732
0.39448
0.011104
0.014434
-0.651522
2
train
H1
H19
500
500
20
22.2
20.6
-2.976636
3.023246
2.338117
2.344686
9.81774
10.162421
9.662576
2.344686
3.023246
0.001762
5.497552
8.049036
9.163572
0.744756
0.878172
-3.127622
2
train
H0
H19
1,000
1,000
20
21.6
19
-1.472828
1.388743
2.000829
2.001997
4.66423
4.749388
4.606001
2.001997
2.000829
0.099958
4.007991
2.732446
1.930935
4.494815
4.448753
-1.437784
2
train
H1
H19
1,000
1,000
20
19.1
21.5
-1.918489
2.173654
0.226321
0.226427
12.20148
20.60222
16.221564
-1.918489
2.173654
0.000127
0.051269
1.740533
4.732465
3.95064
3.974997
-2.239882
2
train
H0
H19
20
20
30
35
15
-1.73329
1.618852
2.071327
2.11363
5.253766
7.027805
5.101154
-1.73329
2.071327
0.071017
4.46743
3.345392
2.622782
5.537452
5.356861
-1.732397
2
train
H1
H19
20
20
30
40
55
0.055923
0.085489
-0.4055
-0.401467
1.885489
3.64945
1.725748
-0.401467
0.4055
0.30189
0.161176
0.004044
0.007274
1.106202
0.92694
-0.068548
2
train
H0
H19
30
30
30
33.333333
33.333333
2.016919
-2.154139
-1.535859
-1.563432
5.042858
6.144896
5.278082
2.016919
2.154139
0.021395
2.444319
3.807401
4.720881
0.173278
0.193521
2.300943
2
train
H1
H19
30
30
30
43.333333
26.666667
-2.477659
2.41589
2.38165
2.45743
6.370041
8.045938
6.29471
-2.477659
2.41589
0.010693
6.038962
6.407882
5.945362
2.9211
3.2812
-2.55257
2
train
H0
H19
50
50
30
28
30
0.219611
-0.153818
-0.559579
-0.569896
1.008401
3.064226
1.176609
-0.569896
0.559579
0.381828
0.324781
0.139382
0.022437
0.823737
0.870569
0.143363
2
train
H1
H19
50
50
30
22
28
-0.622674
0.752806
0.095325
0.094331
1.211914
4.433962
1.787161
0.094331
0.752806
0.218257
0.008898
0.199193
0.579659
0.361894
0.484418
-0.787157
2
train
H0
H19
75
75
30
22.666667
33.333333
0.303032
-0.054725
-1.220731
-1.228034
4.587644
6.66347
5.493131
-1.228034
1.220731
0.064148
1.508067
0.293915
0.002292
4.5477
4.741124
0.057782
2
train
H1
H19
75
75
30
30.666667
24
-1.155409
1.256688
0.621625
0.617874
2.379221
2.404028
2.635715
-1.155409
1.256688
0.191088
0.381768
1.009236
1.590184
0.076101
0.049455
-1.307367
2
train
H0
H19
100
100
30
31
26
0.038426
-0.035426
0.001103
0.001101
0.054373
1.493141
0.010286
0.001101
0.035426
0.683854
0.000001
0.004043
0.000649
0.011748
0.004483
0.022122
2
train
H1
H19
100
100
30
32
29
-0.497737
0.6355
-0.14131
-0.141139
2.663243
2.7719
2.658693
-0.141139
0.6355
0.26465
0.01992
0.143352
0.410773
1.031137
0.983309
-0.681563
2
train
H0
H19
150
150
30
32.666667
34.666667
-0.655692
0.645327
0.71222
0.71384
0.523376
1.473629
0.509833
-0.655692
0.71222
0.490157
0.509567
0.425474
0.423585
0.420363
0.386836
-0.690059
2
train
H1
H19
150
150
30
27.333333
38
1.277702
-1.103116
-1.628427
-1.625991
2.751261
8.218801
3.031678
-1.625991
1.628427
0.0417
2.643847
2.09708
1.205844
2.882493
3.104432
1.158874
2
train
H0
H19
200
200
30
31
27.5
1.322447
-1.319089
-1.433052
-1.444579
2.140123
4.630445
2.087124
1.322447
1.433052
0.163977
2.086808
1.721555
1.731175
1.459756
1.379128
1.391821
2
train
H1
H19
200
200
30
30.5
29.5
-2.216616
2.1699
2.277769
2.304705
5.325116
5.898522
5.356675
-2.216616
2.277769
0.022629
5.311664
5.022059
4.739683
3.450046
3.477573
-2.279632
2
train
H0
H19
300
300
30
32.333333
32
-1.425981
1.507514
0.924212
0.923832
2.8203
3.18797
3.118514
-1.425981
1.507514
0.108793
0.853466
1.652487
2.285099
0.002026
0.001873
-1.60364
2
train
H1
H19
300
300
30
30.333333
32.666667
-0.694657
0.691286
0.649892
0.650166
0.442576
1.108622
0.483133
-0.694657
0.691286
0.462908
0.422716
0.432756
0.484345
0.198371
0.175647
-0.734067
2
train
H0
H19
500
500
30
28.6
28.8
1.247409
-1.254436
-0.971604
-0.971361
1.894055
2.01681
1.734579
1.247409
1.254436
0.18631
0.943543
1.505627
1.566554
0.127042
0.124901
1.321574
2
train
H1
H19
500
500
30
29.6
34.2
-0.251745
0.265523
0.222089
0.222221
0.050946
0.286437
0.064419
-0.251745
0.265523
0.778363
0.049382
0.04652
0.071672
0.021249
0.017985
-0.281453
2
train
H0
H19
1,000
1,000
30
30.2
30.3
-0.373656
0.452074
0.175007
0.174946
0.132894
2.72051
0.327815
0.174946
0.452074
0.436753
0.030606
0.076423
0.206055
0.018282
0.020955
-0.476721
2
train
H1
H19
1,000
1,000
30
30.1
29.1
-2.983112
3.011149
2.581916
2.59017
9.090673
8.896559
9.090506
-2.983112
3.011149
0.001589
6.708979
8.427139
9.08352
1.780619
1.848061
-3.157832