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
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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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0
143
BN_SCE_test
float64
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114
Q_test
float64
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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
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
7
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
H0
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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
H23
20
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20
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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
H23
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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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20
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train
H0
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train
H1
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train
H0
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50
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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
H23
300
300
30
31.666667
28.666667
-0.260007
0.425176
-0.370869
-0.371669
2.055522
2.184886
2.466533
-0.371669
0.425176
0.291339
0.138138
0.00558
0.18268
1.285819
1.218621
-0.455611
7
train
H0
H23
500
500
30
27.4
28.2
0.968326
-0.9673
-0.934101
-0.93316
0.977461
1.409677
0.951839
0.968326
0.9673
0.30985
0.870787
0.961006
0.932096
0.385246
0.440051
1.015537
7
train
H1
H23
500
500
30
31.2
28.8
-0.281405
0.422203
-0.292887
-0.292962
1.882432
1.748696
1.976374
-0.281405
0.422203
0.372251
0.085827
0.019352
0.180323
0.975678
0.957645
-0.449196
7
train
H0
H23
1,000
1,000
30
28.1
28.3
-0.219223
0.156807
0.351827
0.351942
0.129112
1.910494
0.186924
0.351942
0.351827
0.59119
0.123863
0.079718
0.025077
0.196633
0.221416
-0.166546
7
train
H1
H23
1,000
1,000
30
30.3
30.8
-0.762322
0.926941
-0.151593
-0.151551
5.665714
5.669126
5.454185
-0.762322
0.926941
0.065409
0.022968
0.329213
0.862534
1.923923
1.882387
-0.976793
7
train
H0
H23
20
20
40
40
50
1.030433
-0.904863
-1.160589
-1.172985
1.428997
7.932574
1.500107
1.030433
1.160589
0.047426
1.375894
1.22795
0.786182
1.218689
1.40718
0.963669
7
train
H1
H23
20
20
40
30
20
-0.378055
0.297198
0.520095
0.516534
0.458501
3.773497
0.351365
0.516534
0.520095
0.286984
0.266808
0.127656
0.118836
0.502031
0.362015
-0.370794
7
train
H0
H23
30
30
40
33.333333
43.333333
0.953395
-0.955232
-0.934272
-0.935781
0.918715
1.00259
0.92109
0.953395
0.955232
0.300478
0.875685
0.978948
0.893176
0.358099
0.367645
1.035408
7
train
H1
H23
30
30
40
36.666667
43.333333
0.222262
-0.403697
0.223188
0.220756
1.000875
2.920386
1.237134
0.222262
0.403697
0.404064
0.048733
0.017878
0.144799
0.658884
0.747547
0.421076
7
train
H0
H23
50
50
40
44
48
0.264997
-0.197895
-0.467438
-0.463564
0.49131
0.801736
0.53309
-0.463564
0.467438
0.766022
0.214892
0.105039
0.030078
0.365984
0.414947
0.201434
7
train
H1
H23
50
50
40
54
40
0.194275
-0.105521
-0.423637
-0.433656
0.915307
1.066143
0.881608
-0.433656
0.423637
0.643519
0.188058
0.054515
0.008336
0.687494
0.620905
0.102526
7
train
H0
H23
75
75
40
44
34.666667
-0.227146
0.257115
0.187338
0.186689
0.042995
0.354235
0.056928
0.186689
0.257115
0.760125
0.034853
0.046259
0.076889
0.02579
0.030119
-0.305317
7
train
H1
H23
75
75
40
38.666667
54.666667
0.936511
-0.842653
-1.2103
-1.201996
1.732118
2.766464
1.807898
-1.201996
1.2103
0.351055
1.444793
0.978018
0.690773
1.681641
2.003439
0.932544
7
train
H0
H23
100
100
40
38
40
-0.110237
0.16909
-0.29824
-0.299793
1.284988
1.3808
1.263842
-0.110237
0.29824
0.53157
0.089876
0.000071
0.032663
0.641875
0.646519
-0.197668
7
train
H1
H23
100
100
40
38
39
0.774203
-0.799825
-0.634846
-0.631436
0.686571
0.715495
0.652065
-0.631436
0.799825
0.391981
0.398712
0.600248
0.614992
0.049613
0.054349
0.856031
7
train
H0
H23
150
150
40
45.333333
36.666667
-0.05723
0.01895
0.013045
0.013058
0.047142
1.085696
0.015898
0.013058
0.01895
0.780528
0.000171
0.002806
0.000998
0.000319
0.000735
-0.034241
7
train
H1
H23
150
150
40
32
38.666667
1.897674
-1.661049
-2.394845
-2.443417
6.412257
13.628882
6.99132
-2.443417
2.394845
0.003456
5.970288
4.487039
2.72864
6.923839
7.652313
1.77556
7
train
H0
H23
200
200
40
34.5
40
-0.021951
0.097804
-0.364787
-0.363882
1.248449
1.818068
1.06544
-0.363882
0.364787
0.587006
0.13241
0.001223
0.011296
0.631648
0.563708
-0.113458
7
train
H1
H23
200
200
40
42
46
-1.208513
1.418693
0.533174
0.533409
5.417997
5.392287
5.319841
-1.208513
1.418693
0.069954
0.284525
1.272288
2.038461
0.681817
0.627447
-1.543041
7
train
H0
H23
300
300
40
42.666667
40.333333
-0.707403
0.663698
0.829023
0.830353
0.778178
2.451273
0.723312
-0.707403
0.829023
0.459138
0.689486
0.50784
0.450757
0.692568
0.634514
-0.740267
7
train
H1
H23
300
300
40
42.666667
43.666667
0.302035
0.037475
-1.227734
-1.242061
9.731701
11.111856
9.152373
-1.242061
1.227734
0.010294
1.542716
0.165128
0.001897
6.623288
6.511681
-0.056561
7
train
H0
H23
500
500
40
38
36.2
-1.110715
1.141255
0.907559
0.906704
1.301213
1.299768
1.327695
-1.110715
1.141255
0.215526
0.822111
1.184522
1.312451
0.149335
0.160629
-1.238512
7
train
H1
H23
500
500
40
39.2
39.4
-0.847807
0.870501
0.563802
0.563885
1.229284
1.366583
1.112469
-0.847807
0.870501
0.347065
0.317967
0.682882
0.765273
0.000178
0.000173
-0.940298
7
train
H0
H23
1,000
1,000
40
41.1
42.4
-0.622995
0.823354
-0.044712
-0.044683
3.711795
3.904505
3.476063
-0.622995
0.823354
0.175866
0.001997
0.297525
0.685525
1.132455
1.120239
-0.899925
7
train
H1
H23
1,000
1,000
40
36.6
39.6
0.269344
-0.138159
-0.837605
-0.837083
3.181866
5.111746
2.675479
-0.837083
0.837605
0.163795
0.700707
0.107834
0.018279
2.141825
2.037544
0.145981
7
train
H0
H23
20
20
50
50
60
-1.060816
1.235447
0.701093
0.723526
3.271138
3.459143
3.223378
0.723526
1.235447
0.17168
0.52349
1.165108
1.625973
0.198676
0.145013
-1.366827
7
train
H1
H23
20
20
50
45
30
0.024529
-0.015938
-0.049254
-0.048995
0.002639
1.010237
0.008647
-0.048995
0.049254
0.798775
0.002401
0.002588
0.000254
0.005971
0.000242
-0.004679
7
train
H0
H23
30
30
50
33.333333
53.333333
0.399038
-0.447064
-0.568159
-0.563677
0.579219
2.856267
0.488901
-0.563677
0.568159
0.414321
0.317732
0.201248
0.171692
0.362058
0.310069
0.485296
7
train
H1
H23
30
30
50
46.666667
46.666667
-0.060251
-0.113686
0.263946
0.261169
0.519364
0.505817
0.512693
0.261169
0.263946
0.773874
0.068209
0.005675
0.006794
0.536299
0.519394
0.080395
7
train
H0
H23
50
50
50
52
46
-1.047679
0.889471
1.184255
1.172305
1.422635
2.096957
1.399684
-1.047679
1.184255
0.287252
1.374299
1.092663
0.858086
1.316554
1.252454
-1.064169
7
train
H1
H23
50
50
50
40
58
0.996121
-0.798996
-1.417296
-1.412217
3.733107
4.849095
3.551275
-1.412217
1.417296
0.169375
1.994356
0.965269
0.605031
3.358993
3.031184
0.874848
7
train
H0
H23
75
75
50
60
49.333333
-0.304
0.417835
0.324313
0.324733
0.129554
2.720166
0.105531
-0.304
0.417835
0.436811
0.105451
0.100677
0.195284
0.112937
0.053766
-0.504219
7
train
H1
H23
75
75
50
44
48
-0.904258
0.91141
0.632811
0.633124
1.395864
2.180438
1.224399
-0.904258
0.91141
0.311485
0.400846
0.785073
0.865319
0.003169
0.01478
-1.01211
7
train
H0
H23
100
100
50
53
55
-0.947321
0.977604
0.860443
0.861761
0.872646
2.150283
0.936329
0.861761
0.977604
0.260003
0.742631
0.827365
1.002604
0.25829
0.25819
-1.126384
7
train
H1
H23
100
100
50
46
54
0.600186
-0.512805
-0.857305
-0.850772
1.15034
1.342782
1.101651
-0.850772
0.857305
0.570574
0.723813
0.378242
0.245433
0.933042
0.83803
0.567206
7
train
H0
H23
150
150
50
50
45.333333
-0.439767
0.210188
0.970841
0.969569
2.959606
3.893666
3.092709
0.969569
0.970841
0.213023
0.940064
0.244042
0.050654
2.612039
2.785899
-0.254815
7
train
H1
H23
150
150
50
46.666667
45.333333
-1.581371
1.579009
1.279992
1.288541
3.010376
3.25884
2.866919
-1.581371
1.579009
0.074035
1.660338
2.503884
2.567803
0.178774
0.21115
-1.786397
7
train
H0
H23
200
200
50
49
45
-0.384216
0.279393
0.542501
0.540549
0.410467
0.388686
0.424672
-0.384216
0.542501
0.744858
0.292193
0.170144
0.084171
0.491954
0.43456
-0.325426
7
train
H1
H23
200
200
50
50.5
49.5
0.2949
-0.321748
-0.307401
-0.306822
0.094323
0.138334
0.094246
-0.306822
0.321748
0.727808
0.09414
0.090202
0.09739
0.037605
0.039431
0.348043
7
train
H0
H23
300
300
50
46
51
1.917799
-1.959952
-1.890726
-1.892339
3.640709
5.217504
3.738992
-1.892339
1.959952
0.030036
3.580947
3.554777
3.811445
1.796266
1.713255
2.169615
7
train
H1
H23
300
300
50
49.666667
47.666667
-0.284793
0.569769
-0.226128
-0.226628
2.190538
3.980582
2.494432
-0.226628
0.569769
0.263569
0.05136
0.05188
0.336345
1.063391
1.107824
-0.644757
7
train
H0
H23
500
500
50
52
52.8
-0.011403
0.315427
-0.455538
-0.456209
1.913643
2.600549
2.178559
-0.456209
0.455538
0.336459
0.208126
0.000515
0.10594
1.296822
1.290395
-0.365768
7
train
H1
H23
500
500
50
47
49
-0.441476
0.585141
-0.081169
-0.081182
3.011519
4.247606
2.591549
-0.081182
0.585141
0.235939
0.00659
0.1908
0.352197
0.928583
0.886696
-0.658853
7
train
H0
H23
1,000
1,000
50
49.4
49
0.688692
-0.794488
-0.45854
-0.458262
0.696242
1.057646
0.784158
-0.458262
0.794488
0.379335
0.210004
0.439249
0.622763
0.004255
0.004643
0.879122
7
train
H1
H23
1,000
1,000
50
47.7
47.6
-0.438169
0.51777
0.237046
0.236889
0.473234
0.473169
0.471117
0.236889
0.51777
0.560816
0.056117
0.166575
0.273741
0.023282
0.015287
-0.581629