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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BN_GPH_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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Q_test
float64
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MAX_Value_test
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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
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train
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train
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train
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7,644
train
H1
H12
300
300
40
38.666667
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7,644
train
H0
H12
500
500
40
40.4
39.4
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7,644
train
H1
H12
500
500
40
39.4
40.8
0.689333
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7,644
train
H0
H12
1,000
1,000
40
40.4
39.3
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7,644
train
H1
H12
1,000
1,000
40
38.6
39.7
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7,644
train
H0
H12
20
20
50
50
55
0.568928
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7,644
train
H1
H12
20
20
50
55
60
0.303365
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7,644
train
H0
H12
30
30
50
63.333333
40
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7,644
train
H1
H12
30
30
50
30
50
1.464384
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3.039373
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7,644
train
H0
H12
50
50
50
56
46
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7,644
train
H1
H12
50
50
50
62
48
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7,644
train
H0
H12
75
75
50
46.666667
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2.458613
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6.611064
6.612603
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7,644
train
H1
H12
75
75
50
42.666667
50.666667
0.067354
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1.079645
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7,644
train
H0
H12
100
100
50
50
54
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7,644
train
H1
H12
100
100
50
55
47
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7,644
train
H0
H12
150
150
50
52.666667
49.333333
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1.491671
2.235887
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1.491671
1.482211
0.159672
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1.998805
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7,644
train
H1
H12
150
150
50
42.666667
52.666667
1.118265
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1.322332
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1.172575
0.214112
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1.279989
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7,644
train
H0
H12
200
200
50
50.5
51.5
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0.167625
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1.112875
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7,644
train
H1
H12
200
200
50
50.5
55
0.622174
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0.495935
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7,644
train
H0
H12
300
300
50
50
47
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0.529519
0.528698
1.560228
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0.972568
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7,644
train
H1
H12
300
300
50
54.333333
49
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1.198152
1.476988
1.478998
2.254089
2.881769
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1.478998
1.476988
0.204988
2.187436
1.906307
1.435841
2.066198
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7,644
train
H0
H12
500
500
50
49.4
51
0.111049
0.040992
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1.7217
3.22741
1.482289
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0.43666
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0.190003
0.005961
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7,644
train
H1
H12
500
500
50
51.6
52.4
0.133701
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0.104476
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0.171653
0.855512
0.002498
0.014084
0.029458
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0.18209
7,644
train
H0
H12
1,000
1,000
50
49.8
48.6
0.86204
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0.733803
1.06784
0.77828
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0.901936
0.344391
0.600523
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0.813656
0.151916
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7,644
train
H1
H12
1,000
1,000
50
51
49.4
-0.81755
0.319111
1.448678
1.45078
5.786991
9.042243
6.291476
1.45078
1.448678
0.028734
2.104761
0.694203
0.101837
5.563421
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7,644
train
H0
H13
20
20
0
0
0
0.297551
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1.675296
1.559146
1.723946
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0.840684
0.422328
0.699898
0.295625
0.088032
1.295699
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7,644
train
H1
H13
20
20
0
0
0
1.812356
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7.30069
7.753984
6.772581
1.812356
1.812356
0.033834
0.633627
2.223504
3.36003
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1.835444
7,644
train
H0
H13
30
30
0
0
0
-1.951544
1.951544
0.860072
0.86243
7.220494
6.849202
7.362803
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1.951544
0.025188
0.743786
2.444995
3.875229
0.586264
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7,644
train
H1
H13
30
30
0
0
0
-0.13306
0.13306
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1.542384
2.301638
1.215488
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0.387105
0.512207
0.148222
0.000827
0.017593
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7,644
train
H0
H13
50
50
0
0
0
0.248178
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0.148545
0.469326
0.124641
0.248178
0.34379
0.80303
0.114832
0.071956
0.061333
0.077843
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0.249428
7,644
train
H1
H13
50
50
0
0
0
1.420127
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5.121461
5.920003
4.530132
1.420127
1.420127
0.103823
0.25829
1.281438
2.021556
0.314087
0.215804
1.427281
7,644
train
H0
H13
75
75
0
0
0
1.482818
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2.016257
2.570411
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1.482818
1.482818
0.139452
1.819008
2.016477
2.201588
0.670144
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1.477834
7,644
train
H1
H13
75
75
0
0
0
-0.434133
0.434133
0.393846
0.393622
0.236918
5.801187
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0.393622
0.434133
0.121694
0.154939
0.079275
0.188436
0.068767
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7,644
train
H0
H13
100
100
0
0
0
0.45447
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0.179546
5.237079
0.711833
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0.45447
0.155238
0.002423
0.038371
0.206356
0.157056
0.231399
0.455611
7,644
train
H1
H13
100
100
0
0
0
1.541778
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2.848849
5.72437
2.845606
1.541778
1.669749
0.12219
2.827661
2.456103
2.38089
1.827624
1.715452
1.545647
7,644
train
H0
H13
150
150
0
0
0
1.078204
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2.64594
2.587486
2.759074
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1.553464
0.251695
2.4258
1.77913
1.163211
2.590259
2.567329
1.080006
7,644
train
H1
H13
150
150
0
0
0
-1.384361
1.384361
0.145192
0.145423
6.63446
6.156872
6.723603
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1.384361
0.034673
0.021148
0.870971
1.918948
1.474796
1.365278
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7,644
train
H0
H13
200
200
0
0
0
-0.86581
0.86581
1.296368
1.30128
2.390197
3.444029
2.008469
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1.296368
0.328094
1.693329
0.946744
0.7492
2.059912
1.970995
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7,644
train
H1
H13
200
200
0
0
0
2.005807
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13.716004
15.936409
14.417053
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3.171682
0.00074
10.660974
6.680171
4.033723
14.30874
14.570648
2.008319
7,644
train
H0
H13
300
300
0
0
0
-0.404599
0.404599
1.072698
1.074602
2.678672
3.060682
2.33146
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1.072698
0.311695
1.15477
0.393878
0.163608
2.239388
2.160265
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7,644
train
H1
H13
300
300
0
0
0
0.961807
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3.427951
4.534299
4.293832
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1.738932
0.116844
3.039121
2.085161
0.926211
4.32004
4.385987
0.962609
7,644
train
H0
H13
500
500
0
0
0
-0.150439
0.150439
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2.22345
2.614045
2.088363
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0.578198
0.35198
0.33498
0.009651
0.022624
1.323862
1.370519
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7,644
train
H1
H13
500
500
0
0
0
0.569128
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14.908516
14.545601
15.104292
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2.324656
0.000525
5.525548
1.643372
0.323979
12.827013
12.72424
0.569413
7,644
train
H0
H13
1,000
1,000
0
0
0
1.07402
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1.376894
1.698811
1.38811
1.07402
1.173073
0.282694
1.374859
1.207617
1.1535
0.895787
0.875554
1.074288
7,644
train
H1
H13
1,000
1,000
0
0
0
0.771615
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23.301532
22.795919
23.982302
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2.993795
0.000006
9.13792
2.823928
0.595576
20.674424
20.592269
0.771808