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
50
real_perc1
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float64
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logrank_test
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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
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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
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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
H07
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train
H1
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train
H0
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train
H1
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train
H0
H08
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train
H1
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train
H0
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train
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train
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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
H08
150
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train
H1
H08
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train
H0
H08
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train
H1
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train
H0
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train
H1
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300
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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
H08
20
20
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10
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train
H1
H08
20
20
10
10
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train
H0
H08
30
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train
H1
H08
30
30
10
13.333333
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train
H0
H08
50
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train
H1
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train
H0
H08
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train
H1
H08
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train
H0
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train
H1
H08
100
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train
H0
H08
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train
H1
H08
150
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train
H0
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train
H1
H08
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train
H0
H08
300
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train
H1
H08
300
300
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1.97979
-1.98139
-2.096277
-2.112633
4.464854
9.183981
4.516432
-2.112633
2.096277
0.026942
4.463216
4.047801
3.927597
2.911566
2.821612
2.014449
2
train
H0
H08
500
500
10
9.4
9.6
0.291604
-0.282147
-0.464004
-0.463579
0.2684
0.458119
0.279865
0.291604
0.464004
0.775254
0.214905
0.126505
0.079262
0.266375
0.27695
0.28551
2
train
H1
H08
500
500
10
7.2
12.6
2.001372
-1.931376
-2.949843
-2.963346
10.528698
11.246525
10.764793
-2.963346
2.949843
0.004597
8.781421
5.718744
3.729928
10.626297
10.708162
1.957182
2
train
H0
H08
1,000
1,000
10
9.6
10
-0.425394
0.386874
1.143253
1.146522
3.369019
4.170851
2.952696
-0.425394
1.143253
0.228471
1.314513
0.417091
0.149863
2.734323
2.672569
-0.392426
2
train
H1
H08
1,000
1,000
10
10.9
10.2
1.05646
-1.003481
-2.003009
-2.01446
7.426144
8.299002
6.72996
-2.01446
2.003009
0.034563
4.058049
1.803745
1.006312
6.578382
6.510741
1.016866
2
train
H0
H08
20
20
20
45
30
-1.219933
1.170707
1.225978
1.218945
1.540718
1.941585
1.521772
-1.219933
1.225978
0.21208
1.485828
1.547466
1.366761
1.12272
1.279507
-1.247867
2
train
H1
H08
20
20
20
10
15
1.027105
-1.006535
-0.931051
-0.922137
1.086946
1.255294
1.05129
-0.922137
1.006535
0.309565
0.850336
0.99902
1.009773
0.255261
0.299692
1.016136
2
train
H0
H08
30
30
20
16.666667
26.666667
0.959608
-0.980198
-1.013668
-1.000955
1.003619
1.759798
1.015518
0.959608
1.013668
0.308127
1.001911
0.979403
0.943161
0.515475
0.423286
1.01916
2
train
H1
H08
30
30
20
26.666667
20
0.50658
-0.591312
-0.314005
-0.308655
0.212143
3.524363
0.413352
0.50658
0.591312
0.317616
0.095268
0.153569
0.330626
0.007504
0.04846
0.602683
2
train
H0
H08
50
50
20
18
26
-0.348632
0.35804
0.203082
0.201525
0.285551
0.863412
0.197081
-0.348632
0.35804
0.710557
0.040612
0.119666
0.128044
0.000119
0.010215
-0.371108
2
train
H1
H08
50
50
20
20
24
1.643499
-1.687274
-1.319694
-1.312435
2.60839
4.504714
2.936123
1.643499
1.687274
0.08056
1.722486
2.32762
2.853646
0.287112
0.229072
1.747448
2
train
H0
H08
75
75
20
17.333333
24
-1.34648
1.297218
1.530903
1.576686
2.699801
6.016462
2.558691
-1.34648
1.530903
0.110812
2.48594
1.916318
1.70562
2.394577
2.292126
-1.352201
2
train
H1
H08
75
75
20
24
22.666667
0.857515
-0.800715
-1.168783
-1.18636
1.861336
2.023146
1.793344
-1.18636
1.168783
0.407925
1.407449
0.904389
0.637061
1.616425
1.602033
0.818826
2
train
H0
H08
100
100
20
20
15
0.107361
-0.146692
0.264795
0.262968
0.737563
0.819596
0.68127
0.262968
0.264795
0.711319
0.069152
0.000043
0.021075
0.457373
0.402862
0.149601
2
train
H1
H08
100
100
20
17
23
-0.4876
0.568102
-0.380894
-0.381769
5.775274
11.077545
4.529473
-0.4876
0.568102
0.011314
0.145748
0.091612
0.325502
2.231644
2.037959
-0.608858
2
train
H0
H08
150
150
20
29.333333
20.666667
-1.765752
1.85211
0.986921
0.984325
4.319059
8.366691
5.39405
-1.765752
1.85211
0.039011
0.968896
2.228825
3.452878
0.145227
0.180645
-1.955394
2
train
H1
H08
150
150
20
19.333333
24
0.578571
-0.512474
-1.221132
-1.223479
3.64359
4.687725
3.177985
-1.223479
1.221132
0.196145
1.496901
0.529738
0.260902
2.919089
2.749612
0.536562
2
train
H0
H08
200
200
20
18.5
20.5
1.770553
-1.755799
-1.793444
-1.801376
3.247564
5.717243
3.3484
-1.801376
1.793444
0.069699
3.244955
2.925165
3.072907
1.849416
1.773097
1.813862
2
train
H1
H08
200
200
20
28.5
19
-0.246383
0.330386
-0.117431
-0.11798
0.446267
3.50684
0.752627
-0.246383
0.330386
0.319876
0.013919
0.014988
0.112116
0.298685
0.335792
-0.348189
2
train
H0
H08
300
300
20
17.666667
16
0.630399
-0.610917
-0.573259
-0.572085
0.468657
0.61351
0.397898
0.630399
0.610917
0.529676
0.327281
0.466171
0.371064
0.115136
0.107628
0.628501
2
train
H1
H08
300
300
20
17.666667
20
1.922373
-1.838094
-2.53045
-2.55558
7.429995
7.663399
7.406185
-2.55558
2.53045
0.024647
6.530988
4.559181
3.373521
7.078159
7.080979
1.902441
2
train
H0
H08
500
500
20
19
15
-0.355301
0.31827
0.568978
0.567972
0.363802
1.315702
0.44513
0.567972
0.568978
0.725408
0.322592
0.216331
0.102105
0.468838
0.521192
-0.32927
2
train
H1
H08
500
500
20
21
23.2
1.34332
-1.219937
-2.184099
-2.194191
7.56605
7.852464
7.201824
-2.194191
2.184099
0.027299
4.814476
2.408549
1.48459
7.163925
7.109361
1.266561
2
train
H0
H08
1,000
1,000
20
20.3
22.3
1.586303
-1.580348
-1.298643
-1.297692
2.747885
3.06096
2.602284
1.586303
1.580348
0.099564
1.684004
2.48569
2.494062
0.378322
0.37119
1.646972
2
train
H1
H08
1,000
1,000
20
19.2
19.2
1.342202
-1.353644
-1.579896
-1.582378
2.889866
7.332989
2.540986
-1.582378
1.579896
0.062009
2.503922
1.732109
1.830339
2.086116
2.016726
1.400546
2
train
H0
H08
20
20
30
30
35
0.627607
-0.646487
-0.534664
-0.537487
0.480639
1.498608
0.422957
0.627607
0.646487
0.508606
0.288893
0.424836
0.415062
0.032042
0.059821
0.66101
2
train
H1
H08
20
20
30
15
40
1.03718
-0.897346
-1.678146
-1.68842
5.826411
5.823144
5.906856
-1.68842
1.678146
0.052161
2.850761
1.575338
0.771464
5.151628
5.093225
0.95703
2
train
H0
H08
30
30
30
23.333333
20
-1.550453
1.637192
0.78109
0.774075
5.320697
5.45706
5.093453
-1.550453
1.637192
0.078338
0.599192
1.883416
2.722311
0.403734
0.26165
-1.711642
2
train
H1
H08
30
30
30
36.666667
26.666667
-0.712926
0.738378
0.455297
0.452541
0.896177
0.943197
0.859612
-0.712926
0.738378
0.421319
0.204794
0.445519
0.568757
0.000779
0.003863
-0.804136
2
train
H0
H08
50
50
30
32
36
1.040622
-0.890686
-1.26115
-1.271818
1.667157
2.008508
1.734157
-1.271818
1.26115
0.331999
1.61752
1.290158
0.767302
1.567144
1.615896
0.970094
2
train
H1
H08
50
50
30
34
24
0.660653
-0.595411
-0.911055
-0.932522
1.344915
1.554528
1.29173
-0.932522
0.911055
0.524209
0.869598
0.525504
0.345854
1.14286
1.119546
0.611223
2
train
H0
H08
75
75
30
28
25.333333
-1.135409
1.157877
0.945351
0.943976
1.327359
1.533888
1.350713
-1.135409
1.157877
0.225008
0.891091
1.236924
1.350619
0.211056
0.212229
-1.213318
2
train
H1
H08
75
75
30
21.333333
32
1.411513
-1.432954
-1.280346
-1.266265
1.871901
2.235704
1.990246
-1.266265
1.432954
0.130322
1.603427
1.846861
2.010645
0.53158
0.52336
1.512834
2
train
H0
H08
100
100
30
32
34
-0.824749
0.859669
0.650847
0.649169
0.624403
2.074773
0.765633
0.649169
0.859669
0.348586
0.42142
0.574261
0.760877
0.071321
0.051269
-0.937336
2
train
H1
H08
100
100
30
23
28
0.902231
-0.961107
-0.672348
-0.66803
0.78392
2.256637
0.9711
0.902231
0.961107
0.318764
0.446264
0.678648
0.911934
0.023175
0.007988
0.997001
2
train
H0
H08
150
150
30
32
28
-1.234762
1.145485
1.517909
1.524333
2.618346
3.539869
2.508926
-1.234762
1.517909
0.220026
2.323591
1.669211
1.331631
2.426245
2.297827
-1.226459
2
train
H1
H08
150
150
30
32
23.333333
-3.121905
3.244821
2.068078
2.068397
12.875667
14.444057
13.227415
-3.121905
3.244821
0.00052
4.278268
8.552188
10.635522
0.018779
0.021563
-3.470284
2
train
H0
H08
200
200
30
30.5
29.5
-0.812975
0.849509
0.816791
0.814989
0.670535
4.332135
0.693306
0.814989
0.849509
0.227761
0.664207
0.593899
0.729904
0.389767
0.317572
-0.91542
2
train
H1
H08
200
200
30
29
27.5
-0.726835
0.85133
-0.095131
-0.095744
4.98918
5.619659
4.403653
-0.095744
0.85133
0.110601
0.009167
0.353281
0.73107
1.613161
1.575682
-0.899666
2
train
H0
H08
300
300
30
31.666667
28.666667
-0.554018
0.571066
0.309146
0.308496
0.612094
0.681
0.542246
-0.554018
0.571066
0.541843
0.09517
0.27849
0.330191
0.006865
0.002461
-0.610029
2
train
H1
H08
300
300
30
27
30
2.478639
-2.525914
-2.237936
-2.247942
5.718254
10.805823
6.171486
2.478639
2.525914
0.008178
5.053241
5.805927
6.380051
1.867468
1.775476
2.644631
2
train
H0
H08
500
500
30
28.8
28.2
-2.040757
2.03545
1.641538
1.641465
4.931033
5.835164
4.447989
-2.040757
2.03545
0.030657
2.694408
4.114217
4.155925
0.416598
0.497959
-2.161501
2
train
H1
H08
500
500
30
28.8
30.6
2.311821
-2.251401
-2.452905
-2.464126
6.073093
6.482584
6.087529
-2.464126
2.452905
0.017842
6.071916
5.506773
5.063928
4.037335
4.014416
2.368886
2
train
H0
H08
1,000
1,000
30
31.9
30.6
-1.153701
1.0556
1.607443
1.609722
3.314838
3.437774
3.21619
1.609722
1.607443
0.200269
2.591204
1.549935
1.119389
3.212899
3.192985
-1.129386
2
train
H1
H08
1,000
1,000
30
30.7
28.2
-0.436112
0.579626
-0.321986
-0.322326
3.566456
3.738634
3.523973
-0.322326
0.579626
0.171703
0.103894
0.081525
0.337938
1.62649
1.615246
-0.610471