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
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real_perc2
float64
0
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float64
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float64
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logrank_test
float64
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CoxMantel_test
float64
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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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MAX_Value_test
float64
0
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MIN3_test
float64
0
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WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
float64
0
99.4
WLg_Breslow_test
float64
0
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WLg_PetoPrentice_test
float64
0
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WLg_Prentice_test
float64
0
71.6
WKM_test
float64
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8
train
H0
H24
20
20
30
20
35
0.821235
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1.244229
1.250408
1.256535
0.821235
1.048581
0.409114
1.074653
0.824296
0.601691
0.918059
0.903421
0.825453
8
train
H1
H24
20
20
30
20
25
1.095429
-0.891518
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9.68812
12.61661
9.308902
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1.695175
0.005544
3.345466
1.668229
0.79718
8.185916
7.830552
0.930923
8
train
H0
H24
30
30
30
43.333333
26.666667
-1.189976
1.187585
1.107208
1.103907
1.41465
1.522058
1.423449
1.103907
1.187585
0.214903
1.21861
1.369398
1.409498
0.542129
0.516905
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8
train
H1
H24
30
30
30
20
16.666667
0.270196
-0.296213
-0.133832
-0.131613
0.144355
0.501498
0.162686
0.270196
0.296213
0.763968
0.017322
0.0564
0.087309
0.022599
0.037384
0.300274
8
train
H0
H24
50
50
30
20
38
0.763022
-0.7264
-0.809547
-0.803937
0.648672
0.652155
0.647619
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0.809547
0.44874
0.646314
0.610566
0.52578
0.352148
0.336446
0.757517
8
train
H1
H24
50
50
30
42
24
-1.448267
1.435798
1.204803
1.203161
2.211346
4.508092
2.397494
1.203161
1.435798
0.139395
1.447597
1.722296
2.063959
0.296436
0.275974
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8
train
H0
H24
75
75
30
34.666667
24
0.452739
-0.588366
0.239017
0.239311
4.142547
6.018141
3.551142
0.452739
0.588366
0.110731
0.05727
0.121719
0.346005
1.403702
1.225942
0.599353
8
train
H1
H24
75
75
30
30.666667
34.666667
0.85406
-0.816729
-0.908082
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0.852821
4.780288
0.821593
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0.908082
0.188611
0.821523
0.929148
0.667659
0.560499
0.738768
0.823721
8
train
H0
H24
100
100
30
24
28
2.286812
-2.269091
-2.117497
-2.154177
5.073694
7.7994
5.26673
2.286812
2.269091
0.019195
4.640479
4.911734
5.174254
2.107875
2.059874
2.341724
8
train
H1
H24
100
100
30
32
32
-0.860143
1.141033
0.066934
0.067021
3.986581
13.396594
5.318099
0.067021
1.141033
0.003853
0.004492
0.368384
1.304586
1.544305
1.880063
-1.186821
8
train
H0
H24
150
150
30
30.666667
26.666667
-1.029721
0.888206
1.508932
1.51658
3.158069
7.121641
3.505797
1.51658
1.508932
0.06812
2.300015
1.548001
0.789558
3.374736
3.600985
-0.915182
8
train
H1
H24
150
150
30
30
25.333333
-0.657665
0.700853
0.379451
0.379209
0.458891
9.134206
0.881959
0.379209
0.700853
0.027559
0.1438
0.196321
0.491577
0.015544
0.030072
-0.713563
8
train
H0
H24
200
200
30
33
28
0.000509
-0.062645
0.285153
0.284404
0.797854
1.828379
0.652622
0.000509
0.285153
0.608779
0.080885
0.000806
0.003922
0.458039
0.39288
0.062771
8
train
H1
H24
200
200
30
32.5
27.5
-1.049822
1.116402
0.641397
0.641437
1.904984
1.826306
2.031406
-1.049822
1.116402
0.25199
0.411442
0.849212
1.246152
0.018878
0.012615
-1.145529
8
train
H0
H24
300
300
30
33
31.666667
0.373304
-0.578298
0.360639
0.361718
4.307593
4.385694
4.382686
0.361718
0.578298
0.111767
0.13084
0.047497
0.334194
1.968605
1.930942
0.597556
8
train
H1
H24
300
300
30
34
27.333333
-2.337479
2.443954
1.765466
1.767656
6.266688
7.315529
6.798922
-2.337479
2.443954
0.012202
3.124608
4.798692
5.982306
0.167061
0.170508
-2.506254
8
train
H0
H24
500
500
30
28.4
30.8
0.397597
-0.393845
-0.346737
-0.346648
0.224881
1.832239
0.162829
-0.346648
0.393845
0.607945
0.120165
0.198097
0.155077
0.028362
0.035262
0.404092
8
train
H1
H24
500
500
30
31.6
29.8
-1.912104
2.155646
0.92238
0.922747
7.880911
14.073098
9.593866
-1.912104
2.155646
0.002807
0.851461
2.537617
4.65405
0.726801
0.754053
-2.212755
8
train
H0
H24
1,000
1,000
30
27.1
31.1
0.318293
-0.131337
-1.117609
-1.117365
5.251602
5.103203
5.225441
-1.117365
1.117609
0.073335
1.248504
0.26798
0.017247
3.97261
3.932893
0.135949
8
train
H1
H24
1,000
1,000
30
29.7
32.1
0.954501
-0.761291
-1.367444
-1.367559
2.072729
9.875294
2.633912
-1.367559
1.367444
0.019656
1.870219
1.469153
0.5797
2.658133
2.731219
0.782992
8
train
H0
H24
20
20
40
20
35
-0.845595
0.806002
0.927516
0.965493
0.994432
1.373297
0.980778
-0.845595
0.927516
0.411132
0.932177
0.789983
0.658388
1.185769
1.164093
-0.821904
8
train
H1
H24
20
20
40
25
45
0.854679
-0.655684
-1.270573
-1.250968
2.616213
2.751561
2.693091
-1.250968
1.270573
0.260137
1.564921
0.859942
0.428363
2.203448
2.118565
0.700909
8
train
H0
H24
30
30
40
30
33.333333
-0.617391
0.56169
0.834851
0.84685
1.09679
2.002354
1.022634
0.84685
0.834851
0.541292
0.717155
0.436022
0.316617
1.308081
1.169279
-0.610861
8
train
H1
H24
30
30
40
26.666667
43.333333
1.144151
-0.918456
-1.677094
-1.737694
6.54448
7.642694
6.773326
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1.677094
0.033821
3.019582
1.714596
0.845352
5.600414
5.628414
0.962159
8
train
H0
H24
50
50
40
38
26
-1.871961
1.875232
1.627384
1.624813
3.987088
6.137633
3.641286
-1.871961
1.875232
0.052347
2.640018
3.648449
3.530883
0.559854
0.967929
-1.940269
8
train
H1
H24
50
50
40
46
30
-1.455107
1.399779
1.440163
1.439157
2.178756
3.003795
2.142582
-1.455107
1.440163
0.149694
2.071174
2.172026
1.962481
1.198274
1.422905
-1.440613
8
train
H0
H24
75
75
40
46.666667
52
0.233731
-0.138466
-0.44624
-0.443526
0.693911
0.814675
0.663837
-0.443526
0.44624
0.717546
0.196715
0.06103
0.019131
0.428121
0.413892
0.150489
8
train
H1
H24
75
75
40
49.333333
38.666667
-2.413711
2.718881
1.774311
1.774635
9.331704
9.929193
9.524183
-2.413711
2.718881
0.005468
3.149328
5.839066
7.435586
0.028284
0.018591
-2.778112
8
train
H0
H24
100
100
40
33
43
0.903648
-0.701499
-1.339969
-1.334634
3.22161
3.577819
3.108674
-1.334634
1.339969
0.211329
1.781247
0.868389
0.491951
2.890528
2.666646
0.733943
8
train
H1
H24
100
100
40
46
39
-0.558638
0.482374
0.622444
0.620014
0.412805
1.105732
0.397492
0.620014
0.622444
0.615173
0.384417
0.262406
0.232336
0.443432
0.417815
-0.502703
8
train
H0
H24
150
150
40
40
43.333333
-0.453893
0.635648
-0.052102
-0.051993
3.188077
6.687767
2.615054
-0.051993
0.635648
0.082544
0.002703
0.249101
0.404247
0.978147
0.847116
-0.665139
8
train
H1
H24
150
150
40
44.666667
36.666667
-1.510283
1.522279
1.397814
1.393136
2.215838
3.003843
2.300927
-1.510283
1.522279
0.115529
1.940827
2.162206
2.316947
0.72614
0.702492
-1.573818
8
train
H0
H24
200
200
40
42.5
38
-0.84665
0.942564
0.539608
0.538691
1.638843
2.455314
1.503632
0.538691
0.942564
0.328691
0.290188
0.710818
0.8895
0.026437
0.011649
-0.976753
8
train
H1
H24
200
200
40
36
39.5
-0.715966
0.980343
-0.056326
-0.056236
5.692056
5.597945
5.606813
-0.056236
0.980343
0.060603
0.003162
0.379209
0.961519
1.822867
1.698206
-1.012664
8
train
H0
H24
300
300
40
37.333333
41.666667
0.502346
-0.533857
-0.37483
-0.375867
0.440564
1.270926
0.35401
-0.375867
0.533857
0.573862
0.141276
0.289467
0.284556
0.001637
0.002644
0.562373
8
train
H1
H24
300
300
40
41.666667
37
-1.414791
1.417459
1.424753
1.429304
2.044738
9.472067
2.077206
1.429304
1.424753
0.02363
2.042911
1.736828
2.008176
1.238368
1.179935
-1.471305
8
train
H0
H24
500
500
40
40.4
41.2
-0.541247
0.526496
0.574938
0.575897
0.333925
0.513854
0.332364
0.575897
0.574938
0.585125
0.331658
0.304461
0.277123
0.281938
0.267141
-0.545915
8
train
H1
H24
500
500
40
40.8
38.4
-0.649385
0.752912
0.44135
0.441101
0.405863
8.677641
0.728941
0.441101
0.752912
0.033899
0.19457
0.22727
0.567147
0.001402
0.00454
-0.780322
8
train
H0
H24
1,000
1,000
40
39.4
38
-0.005112
-0.184172
0.504116
0.503887
2.636718
3.040962
2.438445
0.503887
0.504116
0.29546
0.253902
0.001066
0.033916
1.48131
1.473169
0.190725
8
train
H1
H24
1,000
1,000
40
35.1
38.8
1.197124
-0.974039
-1.672766
-1.673116
3.569868
10.408372
4.148344
1.197124
1.672766
0.015396
2.799318
2.039601
0.949102
4.125431
4.168047
1.006754
8
train
H0
H24
20
20
50
55
35
-0.794088
0.683755
1.102779
1.088978
2.149043
5.009988
1.980768
1.088978
1.102779
0.171067
1.185873
0.634764
0.463155
2.219807
1.943507
-0.792045
8
train
H1
H24
20
20
50
45
55
-0.886215
1.102926
0.484618
0.491278
3.471301
4.022939
3.584184
0.491278
1.102926
0.166611
0.241354
0.740887
1.242114
0.459155
0.455494
-1.138613
8
train
H0
H24
30
30
50
56.666667
46.666667
0.314068
-0.321819
-0.188434
-0.188659
0.345964
2.028245
0.283002
-0.188659
0.321819
0.566565
0.035592
0.114843
0.103843
0.068791
0.0335
0.342534
8
train
H1
H24
30
30
50
50
43.333333
-1.56085
1.591018
1.543348
1.553575
2.450083
4.583935
2.485132
1.553575
1.591018
0.091378
2.413597
2.438988
2.548903
1.554257
1.393842
-1.688175
8
train
H0
H24
50
50
50
56
44
-1.388842
1.207126
1.634282
1.64762
3.41175
3.41901
3.424576
1.64762
1.634282
0.180452
2.714652
2.052589
1.484907
3.981558
3.98568
-1.299075
8
train
H1
H24
50
50
50
46
54
1.273693
-1.021825
-1.551059
-1.55798
3.12257
3.436609
3.174163
-1.55798
1.551059
0.204522
2.427302
1.656689
1.05128
2.683141
2.59058
1.107583
8
train
H0
H24
75
75
50
50.666667
45.333333
0.490707
-0.63735
-0.117339
-0.117407
2.440245
4.31634
2.267197
-0.117407
0.63735
0.229269
0.013784
0.206939
0.400848
0.504979
0.476402
0.658686
8
train
H1
H24
75
75
50
53.333333
49.333333
-0.202678
0.389371
-0.034255
-0.034166
1.078871
1.099304
1.075014
-0.034166
0.389371
0.584203
0.001167
0.057315
0.151388
0.254471
0.247319
-0.399776
8
train
H0
H24
100
100
50
53
50
-1.314698
1.737684
0.617733
0.617339
8.377486
8.484528
8.272983
0.617339
1.737684
0.015979
0.381107
1.87545
3.02186
1.536276
1.434374
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8
train
H1
H24
100
100
50
45
54
0.338348
-0.048137
-0.749324
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2.151467
2.669102
2.291403
-0.744316
0.749324
0.318001
0.554006
0.104741
0.002315
1.698094
1.758738
0.058056
8
train
H0
H24
150
150
50
52.666667
54
0.446549
-0.616249
-0.230297
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0.772411
2.306149
0.878241
-0.229707
0.616249
0.511344
0.052765
0.176358
0.379391
0.134777
0.155744
0.650174
8
train
H1
H24
150
150
50
58
54.666667
-0.412848
0.91534
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5.50789
6.891564
5.749259
-0.128707
0.91534
0.056437
0.016565
0.228049
0.838015
2.078484
2.007704
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8
train
H0
H24
200
200
50
48.5
52.5
0.426343
-0.614079
-0.100799
-0.100765
1.546996
1.639299
1.501846
0.426343
0.614079
0.471931
0.010154
0.202527
0.376852
0.392983
0.39018
0.649766
8
train
H1
H24
200
200
50
47
47.5
-1.279167
1.721519
0.464713
0.46538
9.159728
11.879075
9.726032
0.46538
1.721519
0.007727
0.216578
1.420656
2.965164
1.913298
1.916585
-1.793263
8
train
H0
H24
300
300
50
52
48.666667
-1.848344
1.895515
1.668015
1.670047
3.623233
3.592768
3.630832
1.670047
1.895515
0.045635
2.789059
3.409228
3.600263
0.778303
0.845624
-1.998751
8
train
H1
H24
300
300
50
49.333333
54.333333
1.002093
-0.399057
-1.617017
-1.617525
6.253859
16.27937
6.984983
-1.617525
1.617017
0.000994
2.616387
1.091232
0.159308
6.155334
6.410729
0.429438
8
train
H0
H24
500
500
50
55.4
46.8
-2.521674
2.263777
2.778842
2.782581
8.178776
8.637058
8.116377
-2.521674
2.778842
0.016637
7.742759
6.057782
5.124748
7.050007
7.142819
-2.394633
8
train
H1
H24
500
500
50
44.8
47.8
1.028815
-0.841303
-1.438991
-1.439305
3.704735
3.88035
3.611913
-1.439305
1.438991
0.164317
2.071598
1.140816
0.708091
3.451418
3.409955
0.878967
8
train
H0
H24
1,000
1,000
50
48.6
50
-0.382839
0.517572
0.160896
0.160866
0.651914
1.020567
0.702724
-0.382839
0.517572
0.583136
0.025878
0.143879
0.267858
0.08948
0.098966
-0.54881
8
train
H1
H24
1,000
1,000
50
52.5
51.6
-0.327423
0.881769
-0.43746
-0.43818
8.053908
10.108095
8.735273
-0.43818
0.881769
0.012681
0.192001
0.079711
0.777756
4.020654
3.979211
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8
train
H0
H25
20
20
0
0
0
-0.865603
0.865603
1.089527
1.085075
1.188283
1.30102
1.22172
-0.865603
1.089527
0.380688
1.177388
1.033821
0.749634
1.115432
1.225013
-0.87663
8
train
H1
H25
20
20
0
0
0
-0.162301
0.162301
0.224122
0.218384
0.081773
0.852251
0.052153
0.218384
0.224122
0.836933
0.047692
0.023933
0.026082
0.078505
0.044852
-0.164368
8
train
H0
H25
30
30
0
0
0
-0.532239
0.532239
0.325938
0.319755
0.468912
0.810263
0.374917
-0.532239
0.532239
0.591454
0.102244
0.238589
0.2818
0.005311
0.026768
-0.536731
8
train
H1
H25
30
30
0
0
0
-1.182754
1.182754
1.4123
1.427858
2.156947
2.621228
2.084268
1.427858
1.4123
0.232973
2.038779
1.613307
1.398067
1.941678
1.875928
-1.192735
8
train
H0
H25
50
50
0
0
0
0.475674
-0.475674
-0.410154
-0.405565
0.231153
0.60162
0.226181
-0.405565
0.475674
0.6326
0.164483
0.232216
0.225768
0.036278
0.025306
0.47807
8
train
H1
H25
50
50
0
0
0
0.227496
-0.227496
-0.499627
-0.496017
0.448138
0.823545
0.434571
0.227496
0.499627
0.8047
0.246033
0.122734
0.051672
0.368352
0.308003
0.228642
8
train
H0
H25
75
75
0
0
0
0.009397
-0.009397
-0.123527
-0.122412
0.067589
0.14055
0.054647
-0.122412
0.123527
0.973047
0.014985
0.002409
0.000088
0.026433
0.016683
0.009365
8
train
H1
H25
75
75
0
0
0
0.569447
-0.569447
-0.879768
-0.880292
0.833533
2.922243
0.953018
0.569447
0.879768
0.40377
0.774914
0.549203
0.323941
0.935115
1.109032
0.567533
8
train
H0
H25
100
100
0
0
0
1.094638
-1.094638
-1.720076
-1.736576
3.770625
3.661397
3.847842
-1.736576
1.720076
0.146033
3.015697
1.953682
1.199122
3.705133
3.639143
1.097385
8
train
H1
H25
100
100
0
0
0
0.527772
-0.527772
-0.526419
-0.523442
0.343003
0.422329
0.295164
0.527772
0.527772
0.596739
0.273991
0.349972
0.278244
0.126743
0.119004
0.529096
8
train
H0
H25
150
150
0
0
0
-0.271548
0.271548
0.381969
0.380026
0.232122
0.521067
0.158614
-0.271548
0.381969
0.785621
0.14442
0.06636
0.073694
0.166235
0.144533
-0.272002
8
train
H1
H25
150
150
0
0
0
1.373712
-1.373712
-0.653118
-0.655642
4.477176
6.928994
3.156888
1.373712
1.373712
0.074196
0.429866
1.555179
1.888945
0.048527
0.022169
1.376008
8
train
H0
H25
200
200
0
0
0
0.927221
-0.927221
-1.030141
-1.027914
1.204377
2.551737
1.061432
-1.027914
1.030141
0.353209
1.056607
1.189711
0.860003
0.722003
0.820432
0.928382
8
train
H1
H25
200
200
0
0
0
0.527616
-0.527616
-0.47458
-0.473896
0.237763
2.17029
0.279062
0.527616
0.527616
0.537824
0.224578
0.257455
0.278168
0.076073
0.052315
0.528277
8
train
H0
H25
300
300
0
0
0
2.144518
-2.144518
-2.150517
-2.155541
4.940352
5.410537
4.95038
2.144518
2.150517
0.031848
4.646356
4.976672
4.608272
2.551245
2.51636
2.146308
8
train
H1
H25
300
300
0
0
0
0.621736
-0.621736
-0.340969
-0.340129
0.62494
0.714474
0.547571
0.621736
0.621736
0.533774
0.115688
0.324188
0.386522
0.001265
0.000255
0.622255
8
train
H0
H25
500
500
0
0
0
1.748771
-1.748771
-1.715094
-1.715814
3.120829
4.099301
3.217563
-1.715814
1.748771
0.080179
2.944018
3.15067
3.059672
1.496014
1.452393
1.749646
8
train
H1
H25
500
500
0
0
0
1.047379
-1.047379
-0.872341
-0.873428
2.102106
6.377261
1.103795
1.047379
1.047379
0.094631
0.762876
1.433427
1.098232
0.249388
0.297248
1.047903
8
train
H0
H25
1,000
1,000
0
0
0
-0.026717
0.026717
-0.886537
-0.887048
3.071479
3.33802
3.35488
-0.887048
0.886537
0.186852
0.786855
0.101961
0.000714
2.480546
2.443535
-0.026724
8
train
H1
H25
1,000
1,000
0
0
0
2.789865
-2.789865
-2.406361
-2.415042
10.516554
18.979073
7.795122
-2.415042
2.789865
0.000276
5.83243
8.801006
7.794729
2.124901
2.247503
2.790562
8
train
H0
H25
20
20
10
0
5
-0.462287
0.473844
0.485344
0.484753
0.370414
4.442601
0.238213
0.484753
0.485344
0.217468
0.234985
0.349132
0.223703
0.15826
0.384313
-0.469929
8
train
H1
H25
20
20
10
5
10
-0.527962
0.528544
0.415475
0.411073
0.244153
0.552998
0.305033
0.411073
0.528544
0.590122
0.168981
0.209293
0.278571
0.048003
0.048922
-0.538659
8
train
H0
H25
30
30
10
13.333333
6.666667
-1.700738
1.715555
1.198565
1.184343
3.638378
3.6293
3.545604
-1.700738
1.715555
0.084752
1.402668
2.441781
2.959606
0.041395
0.112496
-1.723753
8
train
H1
H25
30
30
10
3.333333
10
0.753131
-0.752586
-0.618718
-0.611811
0.501159
0.649988
0.58346
0.753131
0.752586
0.446396
0.374313
0.463272
0.565278
0.063425
0.062262
0.761438
8
train
H0
H25
50
50
10
20
10
-0.918297
0.920435
1.054538
1.049862
1.153633
3.003514
1.109859
-0.918297
1.054538
0.345076
1.102209
0.908465
0.844959
1.021421
0.951565
-0.944183
8
train
H1
H25
50
50
10
12
18
-0.354857
0.417887
-0.14343
-0.141913
0.804976
3.926334
1.289117
-0.141913
0.417887
0.269529
0.020139
0.017021
0.174511
0.45263
0.531131
-0.42582
8
train
H0
H25
75
75
10
10.666667
8
-0.755492
0.731666
0.714764
0.710278
0.526267
0.772003
0.575931
-0.755492
0.731666
0.464741
0.504495
0.486601
0.534836
0.266356
0.260488
-0.731062
8
train
H1
H25
75
75
10
16
10.666667
-0.789173
0.797445
0.485534
0.48184
1.038911
1.220086
0.908637
-0.789173
0.797445
0.423213
0.23217
0.531149
0.635027
0.000021
0.003658
-0.80086
8
train
H0
H25
100
100
10
16
8
-0.675676
0.695014
0.431409
0.430026
0.556538
0.524431
0.617925
-0.675676
0.695014
0.479601
0.184923
0.349458
0.482631
0.004709
0.00856
-0.706945
8
train
H1
H25
100
100
10
8
4
-0.851345
0.855359
1.000754
0.998858
1.106026
3.872818
1.002752
-0.851345
1.000754
0.275529
0.997718
0.734927
0.730663
0.904442
0.811314
-0.867392
8
train
H0
H25
150
150
10
10.666667
8.666667
0.363387
-0.352196
-0.262352
-0.261345
0.231887
0.964497
0.150021
-0.261345
0.352196
0.722134
0.068301
0.12785
0.123432
0.001893
0.005741
0.355608
8
train
H1
H25
150
150
10
10.666667
6.666667
1.03634
-1.006145
-1.317338
-1.326163
1.763028
5.384252
1.864369
-1.326163
1.317338
0.145728
1.758708
1.641623
1.014273
1.737055
1.971714
1.011728
8
train
H0
H25
200
200
10
11.5
9
0.120105
-0.125899
-0.057326
-0.057153
0.025141
0.081145
0.026722
0.120105
0.125899
0.899434
0.003266
0.011658
0.015727
0.003258
0.002888
0.126376
8
train
H1
H25
200
200
10
13
6.5
-1.554837
1.560654
1.269176
1.265272
2.075049
4.511951
2.489118
-1.554837
1.560654
0.114565
1.600913
1.997134
2.436784
0.378783
0.330315
-1.578001
8
train
H0
H25
300
300
10
11.666667
6.666667
-0.883949
0.857677
1.570233
1.571249
3.817702
3.789656
3.784987
1.571249
1.570233
0.150696
2.468823
1.338168
0.735396
3.85543
3.845838
-0.867567
8
train
H1
H25
300
300
10
8.333333
10
-1.961017
2.004916
1.198266
1.199454
4.185597
8.82792
5.315945
-1.961017
2.004916
0.031668
1.438691
2.81295
4.025183
0.00034
0.002988
-2.020398
8
train
H0
H25
500
500
10
11.6
11.6
-0.707467
0.736257
0.403465
0.402832
0.379864
2.994809
0.758157
-0.707467
0.736257
0.392426
0.162274
0.283608
0.542116
0.001392
0.005129
-0.745395
8
train
H1
H25
500
500
10
10.2
10.2
-0.474206
0.538751
-0.305785
-0.305937
1.295459
10.513625
2.788626
-0.474206
0.538751
0.014669
0.093598
0.004156
0.290427
1.231789
1.355944
-0.544951
8
train
H0
H25
1,000
1,000
10
9.9
10.4
0.47848
-0.483476
-0.180653
-0.180546
0.874237
2.693439
0.525016
-0.180546
0.483476
0.441343
0.032597
0.19899
0.233707
0.044588
0.037349
0.487499
8
train
H1
H25
1,000
1,000
10
10.5
10.2
0.268673
-0.205376
-1.085852
-1.087719
1.692678
22.061031
3.628006
-1.087719
1.085852
0.000063
1.183132
0.678802
0.042188
3.122748
3.257545
0.206946