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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1k
perc
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0
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logrank_test
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0
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143
BN_SCE_test
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Q_test
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MAX_Value_test
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MIN3_test
float64
0
1
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84.2
WLg_TaroneWare_test
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0
99.4
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0
106
WLg_PetoPrentice_test
float64
0
71.9
WLg_Prentice_test
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0
71.6
WKM_test
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7,646
train
H1
H12
300
300
50
52.666667
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7,646
train
H0
H12
500
500
50
48.6
51.2
0.503491
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7,646
train
H1
H12
500
500
50
54.6
49
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4.064731
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7,646
train
H0
H12
1,000
1,000
50
53.2
48.5
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6.514468
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7,646
train
H1
H12
1,000
1,000
50
50.4
51.4
0.137721
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4.518385
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7,646
train
H0
H13
20
20
0
0
0
0.486902
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7,646
train
H1
H13
20
20
0
0
0
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2.996839
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7,646
train
H0
H13
30
30
0
0
0
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7,646
train
H1
H13
30
30
0
0
0
1.094047
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3.895115
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2.754579
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7,646
train
H0
H13
50
50
0
0
0
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1.443051
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2.168902
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7,646
train
H1
H13
50
50
0
0
0
0.130983
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2.332649
3.217949
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7,646
train
H0
H13
75
75
0
0
0
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1.539367
1.566733
4.076377
7.572539
3.528917
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1.539367
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2.454651
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0.851407
3.706329
3.518493
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7,646
train
H1
H13
75
75
0
0
0
0.377752
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0.071778
0.136633
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7,646
train
H0
H13
100
100
0
0
0
0.095292
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2.544785
2.909353
2.382863
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0.817834
0.303786
0.673943
0.117586
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1.84971
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7,646
train
H1
H13
100
100
0
0
0
1.517344
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6.68171
11.15317
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1.517344
2.187161
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5.030716
3.280011
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7,646
train
H0
H13
150
150
0
0
0
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1.40487
1.406689
2.212243
2.469807
2.134117
1.406689
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0.298957
1.978774
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2.12135
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7,646
train
H1
H13
150
150
0
0
0
0.244925
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12.452942
17.232859
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1.643887
0.000633
2.839291
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8.175635
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7,646
train
H0
H13
200
200
0
0
0
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0.7384
0.654717
0.978425
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7,646
train
H1
H13
200
200
0
0
0
0.537996
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13.598851
13.11812
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4.768869
1.494458
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11.455266
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7,646
train
H0
H13
300
300
0
0
0
2.430894
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5.752278
7.518462
6.403261
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2.430894
0.014978
3.133057
4.940583
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7,646
train
H1
H13
300
300
0
0
0
0.004239
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1.236445
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0.933329
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7,646
train
H0
H13
500
500
0
0
0
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1.524974
1.014064
1.014073
3.402874
4.528813
2.716085
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1.524974
0.127075
1.028344
2.094142
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7,646
train
H1
H13
500
500
0
0
0
0.457448
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9.900443
9.01317
10.612054
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1.957066
0.004962
3.884492
1.238453
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8.988897
8.902547
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7,646
train
H0
H13
1,000
1,000
0
0
0
-1.102905
1.102905
0.649403
0.648942
1.346131
1.794302
1.59574
0.648942
1.102905
0.269949
0.421125
0.894581
1.216381
0.000464
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7,646
train
H1
H13
1,000
1,000
0
0
0
-0.454497
0.454497
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20.699333
24.339434
24.695471
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2.016472
0.000004
4.118416
0.33682
0.206667
16.564494
16.627022
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7,646
train
H0
H13
20
20
10
5
0
0.487002
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1.132759
3.458908
0.948294
0.487002
0.76976
0.326131
0.611422
0.341679
0.235422
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0.459872
7,646
train
H1
H13
20
20
10
0
15
0.591388
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0.465355
0.466806
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0.591388
0.691573
0.535927
0.464547
0.447739
0.35945
0.289834
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0.618984
7,646
train
H0
H13
30
30
10
3.333333
3.333333
0.368171
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0.122091
0.121638
1.354476
2.223583
1.182097
0.121638
0.377087
0.527318
0.014796
0.038014
0.141559
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0.40758
0.373423
7,646
train
H1
H13
30
30
10
6.666667
10
-0.784122
0.794875
0.319428
0.317677
1.375218
1.612966
1.449598
0.317677
0.794875
0.424852
0.100919
0.369281
0.631413
0.088081
0.086246
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7,646
train
H0
H13
50
50
10
6
12
0.129714
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0.010093
0.010038
0.341671
2.812763
0.097504
0.010038
0.119551
0.421403
0.000101
0.02622
0.014238
0.048586
0.016979
0.119696
7,646
train
H1
H13
50
50
10
14
12
-0.525246
0.521596
0.280954
0.277608
0.5349
0.672448
0.483846
0.277608
0.521596
0.598809
0.077066
0.191452
0.27118
0.000735
0.000903
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7,646
train
H0
H13
75
75
10
10.666667
10.666667
0.735491
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0.625855
0.884304
0.970267
0.735491
0.742042
0.459254
0.137905
0.281506
0.550679
0.024301
0.020258
0.740076
7,646
train
H1
H13
75
75
10
9.333333
6.666667
0.95839
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2.134246
2.537388
2.041017
0.95839
1.294677
0.353655
1.729557
1.188572
0.87448
1.825827
1.77683
0.927523
7,646
train
H0
H13
100
100
10
10
9
-0.144865
0.091536
1.060328
1.068058
4.393053
4.177112
4.642894
-0.144865
1.060328
0.098131
1.140747
0.260608
0.008379
3.539118
3.458
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7,646
train
H1
H13
100
100
10
20
9
-1.057312
1.051806
0.800135
0.796528
1.746617
5.146619
1.245967
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1.051806
0.16137
0.634456
1.152235
1.104674
0.06669
0.147597
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7,646
train
H0
H13
150
150
10
9.333333
6.666667
-1.202728
1.22846
0.499599
0.498465
3.162213
3.229831
2.965751
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1.22846
0.214454
0.248467
0.983492
1.509276
0.170846
0.128784
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7,646
train
H1
H13
150
150
10
9.333333
7.333333
-0.482227
0.504446
-0.406765
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3.1888
3.958944
3.859025
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0.504446
0.145219
0.166123
0.007337
0.254593
1.720302
1.730492
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7,646
train
H0
H13
200
200
10
8.5
9
-1.255107
1.254891
1.219274
1.21988
1.595976
1.616507
1.62325
1.21988
1.254891
0.206702
1.488107
1.59074
1.574807
0.791244
0.7943
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7,646
train
H1
H13
200
200
10
12.5
13
0.985466
-0.944169
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3.22114
5.004146
2.814003
0.985466
1.470078
0.171494
2.184999
1.224124
0.891877
2.710196
2.587569
0.958133
7,646
train
H0
H13
300
300
10
10.666667
10.666667
0.738059
-0.752319
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1.446406
1.673752
1.167664
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0.752319
0.448037
0.094899
0.422399
0.565845
0.076099
0.075322
0.758691
7,646
train
H1
H13
300
300
10
13.333333
9
-1.504626
1.481495
1.37661
1.37936
2.313092
2.866577
2.267677
1.37936
1.481495
0.135346
1.902635
2.177705
2.195119
0.768555
0.823335
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7,646
train
H0
H13
500
500
10
10.4
9.4
0.362385
-0.395196
0.08597
0.085808
0.646411
0.78847
0.925847
0.362385
0.395196
0.629441
0.007363
0.030728
0.156135
0.334758
0.322247
0.39867
7,646
train
H1
H13
500
500
10
9.2
7.4
-0.937067
0.981754
-0.135591
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4.094369
4.396691
5.326217
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0.981754
0.069731
0.018364
0.242566
0.964087
1.685075
1.664346
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7,646
train
H0
H13
1,000
1,000
10
9.7
9.2
-0.257543
0.19885
1.231278
1.233501
5.31798
5.602468
4.936725
1.233501
1.231278
0.084723
1.521524
0.296306
0.039542
3.99794
3.939413
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7,646
train
H1
H13
1,000
1,000
10
10.9
9.8
-2.403288
2.475863
1.084591
1.085473
10.38495
11.367365
11.314656
-2.403288
2.475863
0.003492
1.178251
3.943722
6.135539
0.574342
0.55841
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