iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
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2 values
Hi
stringclasses
27 values
n1
int64
20
1k
n2
int64
20
1k
perc
int64
0
50
real_perc1
float64
0
95
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
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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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9
train
H0
H04
20
20
40
40
20
-0.270333
0.26054
0.154266
0.154177
0.163033
0.280703
0.149768
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0.067872
0.010425
0.018156
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9
train
H1
H04
20
20
40
50
45
-2.240965
2.263108
2.123442
2.37769
5.65376
6.752709
5.655535
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2.263108
0.013422
5.653412
5.562351
5.363886
4.192227
4.228756
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9
train
H0
H04
30
30
40
46.666667
26.666667
-0.650351
0.401565
1.227353
1.216177
4.324569
4.456911
4.211339
1.216177
1.227353
0.121764
1.479086
0.501172
0.160351
3.931742
3.645802
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9
train
H1
H04
30
30
40
30
26.666667
-1.432194
1.404933
1.38348
1.410754
2.054809
3.229229
2.095419
1.410754
1.404933
0.14123
1.990226
1.927893
1.990945
1.286323
1.152582
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9
train
H0
H04
50
50
40
34
40
0.429201
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-0.353318
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0.225809
0.259229
0.217025
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0.432397
0.648085
0.124772
0.167667
0.186584
0.002175
0.001885
0.456424
9
train
H1
H04
50
50
40
40
34
-0.369664
0.275739
0.476576
0.471143
0.232849
2.567952
0.281814
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0.476576
0.463136
0.221976
0.189921
0.075826
0.374352
0.553011
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9
train
H0
H04
75
75
40
40
36
-0.590592
0.684038
0.379838
0.378954
0.574939
1.962097
0.677248
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0.684038
0.479206
0.143606
0.296908
0.467699
0.001571
0.005188
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9
train
H1
H04
75
75
40
38.666667
40
-1.622876
1.773368
1.311242
1.325113
2.950635
4.832783
3.1934
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1.773368
0.067428
1.755925
2.53326
3.161259
0.198314
0.17743
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9
train
H0
H04
100
100
40
30
36
1.271839
-1.198112
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1.723306
2.281829
1.702539
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1.295841
0.217444
1.681734
1.669386
1.434029
0.936106
1.042815
1.233354
9
train
H1
H04
100
100
40
42
41
-1.219195
1.370347
0.902494
0.902324
2.022035
5.305071
2.34227
-1.219195
1.370347
0.150774
0.814189
1.282966
1.883681
0.00336
0.000035
-1.409661
9
train
H0
H04
150
150
40
44
37.333333
-0.868872
0.909792
0.771561
0.769657
0.720579
2.257716
0.795671
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0.909792
0.35009
0.592372
0.68461
0.827247
0.209512
0.172077
-0.934414
9
train
H1
H04
150
150
40
39.333333
45.333333
-1.287478
1.537719
0.668478
0.672117
5.112929
6.339113
5.361377
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1.537719
0.068516
0.451742
1.482364
2.377991
0.522499
0.548821
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9
train
H0
H04
200
200
40
41
37
-0.934121
0.696615
1.441456
1.443336
4.191638
4.324242
4.214016
1.443336
1.441456
0.121601
2.083219
1.021053
0.485389
4.163679
4.22537
-0.727629
9
train
H1
H04
200
200
40
34.5
40
-0.521921
0.651735
0.128788
0.128754
1.554984
1.632237
1.648931
0.128754
0.651735
0.438469
0.016578
0.196049
0.424911
0.297141
0.2766
-0.669438
9
train
H0
H04
300
300
40
40.333333
39
-0.102725
0.033327
0.145908
0.145692
0.024793
4.762775
0.035318
0.145692
0.145908
0.190015
0.021226
0.032147
0.00111
0.036819
0.06933
-0.034361
9
train
H1
H04
300
300
40
43.666667
35.666667
-2.962681
2.92817
2.79955
2.810472
8.65327
9.566441
8.807547
-2.962681
2.92817
0.002607
7.898753
8.39398
8.595153
3.305798
3.322888
-3.010626
9
train
H0
H04
500
500
40
41.4
39.4
0.307509
-0.382157
-0.030819
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0.776024
0.683008
0.782849
0.307509
0.382157
0.676093
0.000948
0.058502
0.146037
0.226279
0.225544
0.394643
9
train
H1
H04
500
500
40
42.6
39
-3.09946
3.287296
2.404433
2.41102
12.99988
12.955077
12.967394
-3.09946
3.287296
0.000707
5.813018
9.292366
10.831102
0.191648
0.196796
-3.387022
9
train
H0
H04
1,000
1,000
40
40.8
41.6
0.188601
-0.045208
-0.4874
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1.172482
1.434381
1.079076
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0.4874
0.583018
0.237343
0.032099
0.002044
0.792195
0.780215
0.046809
9
train
H1
H04
1,000
1,000
40
40.2
39.6
-2.498772
2.57358
2.112711
2.120726
6.912225
6.88762
7.044924
-2.498772
2.57358
0.007942
4.497478
5.862963
6.627653
0.827686
0.856787
-2.654506
9
train
H0
H04
20
20
50
60
50
-0.462391
0.569964
0.258828
0.258285
1.268805
1.555075
1.239733
0.258285
0.569964
0.538016
0.066711
0.199993
0.324264
0.040964
0.029279
-0.593394
9
train
H1
H04
20
20
50
60
45
-1.57194
1.641337
1.326171
1.332272
3.858445
4.264067
3.90014
1.332272
1.641337
0.094868
1.774947
2.23355
2.724539
0.072807
0.049917
-1.670258
9
train
H0
H04
30
30
50
40
46.666667
0.567818
-0.436821
-0.739724
-0.737863
0.809175
0.832793
0.81199
-0.737863
0.739724
0.652036
0.544441
0.328607
0.190462
0.621884
0.636365
0.450936
9
train
H1
H04
30
30
50
53.333333
60
-0.610668
0.653365
0.533185
0.548243
0.470846
3.146613
0.498091
0.548243
0.653365
0.369568
0.30057
0.350198
0.427686
0.143801
0.133018
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9
train
H0
H04
50
50
50
48
44
-0.932585
1.046729
0.6896
0.687286
1.548326
1.567516
1.57032
0.687286
1.046729
0.278243
0.472363
0.829939
1.094584
0.00707
0.014401
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9
train
H1
H04
50
50
50
42
46
-0.263302
0.268586
0.214733
0.214808
0.101971
0.337811
0.090587
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0.268586
0.785454
0.046142
0.068939
0.072043
0.030299
0.025547
-0.272218
9
train
H0
H04
75
75
50
50.666667
46.666667
-1.49743
1.472895
1.376123
1.374841
2.283779
2.244289
2.285288
-1.49743
1.472895
0.121574
1.890187
2.140012
2.180385
0.656797
0.756123
-1.548202
9
train
H1
H04
75
75
50
54.666667
41.333333
-2.470145
2.487436
2.217959
2.229628
6.521233
7.016861
6.642602
-2.470145
2.487436
0.011156
4.971239
5.786741
6.219841
1.226285
1.326836
-2.537773
9
train
H0
H04
100
100
50
54
58
0.097434
0.024139
-0.211921
-0.211374
0.348379
0.344836
0.349717
-0.211374
0.211921
0.839576
0.044679
0.00303
0.000582
0.149542
0.140424
-0.023911
9
train
H1
H04
100
100
50
45
48
-0.299713
0.241556
0.308406
0.309062
0.097396
0.953877
0.095529
0.309062
0.308406
0.803722
0.095519
0.054528
0.058323
0.107599
0.101315
-0.248533
9
train
H0
H04
150
150
50
50.666667
44
-0.668629
0.553086
0.892653
0.891835
1.368679
1.675812
1.316438
0.891835
0.892653
0.517773
0.795369
0.445667
0.305626
1.436719
1.433238
-0.575576
9
train
H1
H04
150
150
50
51.333333
54
0.134199
0.08115
-0.448162
-0.447441
2.218816
3.069316
2.111902
-0.447441
0.448162
0.347861
0.200203
0.007495
0.006581
1.191987
1.105229
-0.07917
9
train
H0
H04
200
200
50
52
56
1.39016
-1.335765
-1.37868
-1.381191
1.971531
3.304849
1.9463
-1.381191
1.37868
0.164467
1.90769
2.044968
1.784486
0.988592
1.05491
1.390205
9
train
H1
H04
200
200
50
50
55
0.116612
0.024358
-0.295893
-0.295988
0.614291
0.755458
0.640895
-0.295988
0.295893
0.725824
0.087609
0.012246
0.000593
0.352458
0.35234
-0.027173
9
train
H0
H04
300
300
50
47.666667
52.666667
1.016697
-0.907022
-1.087073
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1.191708
1.30125
1.19674
1.016697
1.087073
0.348127
1.178936
1.034042
0.822442
0.874642
0.880984
0.938228
9
train
H1
H04
300
300
50
50.666667
51.333333
-0.02809
-0.086353
0.16167
0.161826
0.337359
0.819951
0.299361
-0.02809
0.16167
0.844689
0.026188
0.000426
0.007454
0.223281
0.218443
0.090193
9
train
H0
H04
500
500
50
48
45.4
-0.477144
0.402378
0.515487
0.515373
0.266002
2.892292
0.270955
0.515373
0.515487
0.408531
0.265609
0.271974
0.161876
0.254102
0.27037
-0.417132
9
train
H1
H04
500
500
50
51.6
51.6
-1.719052
1.526741
1.816238
1.826564
3.35191
4.404312
3.370776
1.826564
1.816238
0.110589
3.336337
2.973029
2.334757
2.676931
2.779959
-1.595553
9
train
H0
H04
1,000
1,000
50
51.9
49.7
-0.656726
0.757694
0.529097
0.529054
0.534555
1.504844
0.596843
0.529054
0.757694
0.429168
0.279898
0.409184
0.57406
0.021269
0.021108
-0.790616
9
train
H1
H04
1,000
1,000
50
49.5
49
-2.397256
2.623456
1.929593
1.93335
7.739791
8.284483
7.904923
-2.397256
2.623456
0.006473
3.737842
5.815961
6.889367
0.188537
0.189601
-2.722802
9
train
H0
H05
20
20
0
0
0
-0.13525
0.13525
0.351547
0.347636
0.473647
3.136378
0.27185
0.347636
0.351547
0.371073
0.120851
0.027693
0.018149
0.33528
0.227103
-0.136973
9
train
H1
H05
20
20
0
0
0
1.271354
-1.271354
-0.671579
-0.661106
2.744838
2.780583
2.594545
-0.661106
1.271354
0.197903
0.437062
1.163716
1.619501
0.035661
0.006499
1.28755
9
train
H0
H05
30
30
0
0
0
1.03491
-1.03491
-0.666566
-0.655439
1.064968
2.637024
1.344331
1.03491
1.03491
0.29665
0.429601
0.761669
1.069752
0.002677
0.000003
1.043643
9
train
H1
H05
30
30
0
0
0
-0.384395
0.384395
0.238632
0.234902
0.060492
2.084478
0.19386
0.234902
0.384395
0.555059
0.055179
0.056337
0.147445
0.003133
0.00135
-0.387639
9
train
H0
H05
50
50
0
0
0
-0.392948
0.392948
1.008488
1.01949
2.925972
5.352056
2.341521
-0.392948
1.008488
0.14776
1.039361
0.353758
0.153857
2.306094
2.118861
-0.394927
9
train
H1
H05
50
50
0
0
0
0.28954
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-0.469488
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0.554419
3.003241
0.286417
0.28954
0.469488
0.391126
0.21884
0.071439
0.083584
0.242165
0.165604
0.290999
9
train
H0
H05
75
75
0
0
0
-0.103365
0.103365
0.792619
0.78943
1.522356
1.937854
2.075119
0.78943
0.792619
0.354318
0.6232
0.2093
0.010693
1.744249
1.782297
-0.103018
9
train
H1
H05
75
75
0
0
0
0.174781
-0.174781
0.791224
0.795772
4.201256
4.152497
4.102256
0.795772
0.791224
0.12859
0.633252
0.038403
0.030502
2.710956
2.584512
0.174193
9
train
H0
H05
100
100
0
0
0
-1.255902
1.255902
1.720917
1.739574
3.524161
4.718465
3.372843
1.739574
1.720917
0.185181
3.026119
2.138932
1.578439
3.432835
3.309406
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9
train
H1
H05
100
100
0
0
0
0.652385
-0.652385
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0.488761
0.872518
0.482272
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0.652385
0.513098
0.203553
0.377057
0.425626
0.013373
0.008867
0.654022
9
train
H0
H05
150
150
0
0
0
-1.412315
1.412315
1.859588
1.874671
3.59217
4.489786
3.741329
1.874671
1.859588
0.154021
3.51439
2.793862
1.995697
3.492228
3.623119
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9
train
H1
H05
150
150
0
0
0
1.150085
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1.572055
2.09433
1.337554
1.150085
1.150085
0.249318
1.119489
1.496086
1.32376
0.454844
0.530783
1.152006
9
train
H0
H05
200
200
0
0
0
-1.258495
1.258495
1.460087
1.4614
2.263688
4.085374
2.136254
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1.460087
0.207644
2.135691
2.22976
1.585953
1.60108
1.782522
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9
train
H1
H05
200
200
0
0
0
0.897813
-0.897813
0.273646
0.273912
4.85711
4.250251
5.472441
0.897813
0.897813
0.064815
0.075028
0.181285
0.806514
1.925442
1.828604
0.898937
9
train
H0
H05
300
300
0
0
0
-0.443222
0.443222
-0.031564
-0.031486
0.722768
1.578756
0.899965
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0.443222
0.637639
0.000991
0.069648
0.196348
0.23351
0.260982
-0.443592
9
train
H1
H05
300
300
0
0
0
2.33622
-2.33622
-1.36997
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8.154892
8.636792
7.271504
2.33622
2.33622
0.019378
1.885143
4.383396
5.468826
0.006382
0.017706
2.33817
9
train
H0
H05
500
500
0
0
0
1.853224
-1.853224
-2.036402
-2.040218
4.265889
4.350425
4.189465
-2.040218
2.036402
0.063718
4.162491
4.139302
3.436834
2.831381
2.814252
1.854151
9
train
H1
H05
500
500
0
0
0
2.591842
-2.591842
-1.731649
-1.735294
8.728698
9.517519
7.827697
2.591842
2.591842
0.00951
3.011244
5.726429
6.727827
0.200651
0.242533
2.593139
9
train
H0
H05
1,000
1,000
0
0
0
-0.6783
0.6783
0.536376
0.535793
0.59114
0.728292
0.470895
0.535793
0.6783
0.497474
0.287074
0.484751
0.460047
0.066753
0.062999
-0.678469
9
train
H1
H05
1,000
1,000
0
0
0
1.876301
-1.876301
-0.663262
-0.662979
6.467077
6.166074
7.261154
1.876301
1.876301
0.026501
0.439542
2.070554
3.522324
0.497644
0.479857
1.876771
9
train
H0
H05
20
20
10
15
5
0.321204
-0.375517
0.390498
0.39086
3.608306
5.129401
3.100135
0.39086
0.390498
0.162563
0.152772
0.012891
0.140652
1.415971
1.174969
0.366181
9
train
H1
H05
20
20
10
15
5
-0.267559
0.24524
0.448488
0.440614
0.398057
1.849536
0.303963
-0.267559
0.448488
0.604215
0.194141
0.085873
0.059614
0.444049
0.371287
-0.249067
9
train
H0
H05
30
30
10
13.333333
10
-0.443376
0.390314
1.168126
1.191348
4.805623
6.234072
4.373548
1.191348
1.168126
0.100761
1.419311
0.48658
0.15191
3.863624
3.614065
-0.412
9
train
H1
H05
30
30
10
6.666667
3.333333
-1.617264
1.586547
1.849901
1.917545
3.998642
9.591117
3.811367
1.917545
1.849901
0.022382
3.676979
2.902696
2.528629
3.755054
3.545905
-1.604036
9
train
H0
H05
50
50
10
8
10
-0.259128
0.242179
0.470956
0.469695
0.384284
0.916264
0.360359
-0.259128
0.470956
0.806356
0.220614
0.114851
0.058754
0.400361
0.327611
-0.245129
9
train
H1
H05
50
50
10
10
6
0.512663
-0.520706
-0.345486
-0.343946
0.211515
0.718772
0.328561
0.512663
0.520706
0.598781
0.118299
0.161411
0.270889
0.000227
0.000837
0.526155
9
train
H0
H05
75
75
10
14.666667
6.666667
-2.415249
2.424111
2.256754
2.27739
5.554355
9.105724
5.925929
-2.415249
2.424111
0.014927
5.186505
5.56974
5.919911
2.225251
2.097427
-2.434147
9
train
H1
H05
75
75
10
2.666667
10.666667
0.117269
-0.134159
0.200472
0.200567
0.189297
2.565106
0.463862
0.200567
0.200472
0.46364
0.040227
0.004017
0.017974
0.284966
0.330715
0.140134
9
train
H0
H05
100
100
10
7
14
0.781305
-0.744118
-1.428954
-1.432889
3.353895
3.387199
3.397855
-1.432889
1.428954
0.18288
2.053172
1.084099
0.552972
3.155714
3.127456
0.755099
9
train
H1
H05
100
100
10
8
15
0.22961
-0.20426
-0.644459
-0.640237
1.096518
1.650531
0.976086
-0.640237
0.644459
0.613826
0.409903
0.136402
0.041643
0.781773
0.689934
0.212276
9
train
H0
H05
150
150
10
10
14
0.796901
-0.724512
-1.461831
-1.466469
4.024535
4.688192
3.684065
-1.466469
1.461831
0.158495
2.150531
0.969557
0.524672
3.478341
3.312159
0.73353
9
train
H1
H05
150
150
10
7.333333
8.666667
0.578193
-0.580399
-0.495343
-0.49329
0.468571
1.2948
0.335636
0.578193
0.580399
0.559451
0.243335
0.385903
0.336585
0.056997
0.078336
0.583657
9
train
H0
H05
200
200
10
13.5
7.5
-2.151968
2.148021
2.132403
2.13441
4.806237
5.342271
4.846805
-2.151968
2.148021
0.030706
4.555707
4.833252
4.62126
2.431644
2.346693
-2.160867
9
train
H1
H05
200
200
10
12.5
12
3.140121
-3.12131
-3.051987
-3.116784
10.252126
10.683931
10.314847
-3.116784
3.12131
0.001617
9.714341
10.237973
9.810018
5.286064
5.29204
3.152809
9
train
H0
H05
300
300
10
14.333333
10.333333
-1.9003
1.876821
2.066729
2.067912
4.27763
4.629759
4.287396
-1.9003
2.066729
0.058083
4.27626
3.960499
3.525302
2.997275
2.943403
-1.895075
9
train
H1
H05
300
300
10
11
9.666667
2.268452
-2.347786
-0.869652
-0.86967
11.279683
11.330024
11.724496
2.268452
2.347786
0.002845
0.756325
3.425999
5.527734
0.719223
0.647253
2.362917
9
train
H0
H05
500
500
10
10
11.8
0.026827
0.014653
-0.791041
-0.792631
3.649412
6.145278
3.038364
-0.792631
0.791041
0.104752
0.628264
0.061274
0.000215
2.131448
2.025948
-0.013796
9
train
H1
H05
500
500
10
11.4
11.4
2.426685
-2.410314
-2.493104
-2.504842
6.41531
6.8613
6.444807
-2.504842
2.493104
0.015119
6.274236
6.330047
5.819885
3.74644
3.734288
2.429515
9
train
H0
H05
1,000
1,000
10
10.6
10.5
-0.779266
0.784047
0.485251
0.484846
0.763738
0.711285
0.826754
0.484846
0.784047
0.429766
0.235075
0.453082
0.614675
0.001052
0.00076
-0.789592
9
train
H1
H05
1,000
1,000
10
10.8
11.4
2.386287
-2.45006
-1.507094
-1.508055
5.848764
17.842684
7.686132
2.386287
2.45006
0.000474
2.27423
4.170544
6.007134
0.022463
0.015744
2.46626
9
train
H0
H05
20
20
20
15
20
-0.259945
0.18059
0.585376
0.588353
0.759523
3.59446
0.982883
-0.259945
0.585376
0.308716
0.346159
0.160737
0.032525
0.968314
1.161288
-0.21598
9
train
H1
H05
20
20
20
25
25
-0.612189
0.620353
0.459711
0.450665
0.39359
1.38139
0.484463
0.450665
0.620353
0.524007
0.203099
0.280218
0.382499
0.051116
0.029122
-0.637182
9
train
H0
H05
30
30
20
20
16.666667
-0.823136
0.792532
1.067009
1.072405
1.404401
1.686462
1.370928
-0.823136
1.067009
0.423564
1.150053
0.846004
0.626407
1.637171
1.583563
-0.800253
9
train
H1
H05
30
30
20
20
26.666667
0.298815
-0.27985
-0.325059
-0.319976
0.11417
1.942392
0.102395
-0.319976
0.325059
0.584449
0.102385
0.062458
0.077861
0.028024
0.004979
0.293678
9
train
H0
H05
50
50
20
18
12
-0.428929
0.411715
0.431891
0.428823
0.190441
0.189649
0.191718
0.428823
0.431891
0.677696
0.183889
0.178532
0.168954
0.17771
0.18289
-0.415609
9
train
H1
H05
50
50
20
20
14
0.962092
-0.98041
-0.385969
-0.384228
2.17984
4.766453
2.615859
0.962092
0.98041
0.189719
0.147631
0.484543
0.963115
0.191744
0.245255
0.987066
9
train
H0
H05
75
75
20
18.666667
26.666667
0.46079
-0.378707
-0.89983
-0.897294
1.712639
1.849244
1.781663
-0.897294
0.89983
0.410314
0.805137
0.374559
0.14332
1.500953
1.50422
0.388375
9
train
H1
H05
75
75
20
14.666667
22.666667
2.431044
-2.414817
-2.367421
-2.398864
6.081332
6.016776
6.10895
-2.398864
2.414817
0.014748
5.754548
6.072576
5.875763
2.993882
3.173878
2.43852
9
train
H0
H05
100
100
20
27
16
-0.972711
0.942892
1.060873
1.058583
1.120616
1.140139
1.120698
-0.972711
1.060873
0.33884
1.120598
1.052295
0.887753
0.932208
0.926336
-0.95646
9
train
H1
H05
100
100
20
18
18
1.155755
-1.185388
-0.979415
-0.976988
1.330291
1.353813
1.368311
1.155755
1.185388
0.229039
0.954506
1.281111
1.406072
0.208141
0.227098
1.202839
9
train
H0
H05
150
150
20
24
15.333333
-1.407885
1.364694
1.507533
1.504811
2.265022
2.570893
2.268448
1.504811
1.507533
0.16765
2.264457
2.002562
1.863728
1.687649
1.719942
-1.379795
9
train
H1
H05
150
150
20
21.333333
13.333333
-0.109781
-0.017397
1.058572
1.057822
5.203547
5.191431
5.355498
-0.109781
1.058572
0.068718
1.118988
0.165342
0.000303
3.911439
3.784652
0.012164
9
train
H0
H05
200
200
20
21.5
20
-0.168985
0.07364
0.798403
0.798849
1.986125
6.10881
2.6973
0.798849
0.798403
0.106435
0.638159
0.211947
0.005421
2.092016
2.243901
-0.074479
9
train
H1
H05
200
200
20
20.5
19.5
0.77848
-0.830177
-0.310051
-0.309921
1.89614
2.591444
1.590181
-0.309921
0.830177
0.398561
0.096051
0.474112
0.688947
0.152129
0.119599
0.844195
9
train
H0
H05
300
300
20
18.666667
22.333333
0.706162
-0.668317
-0.811885
-0.811483
0.708365
0.884859
0.668971
-0.811483
0.811885
0.497724
0.658505
0.472106
0.446649
0.541174
0.566291
0.678076
9
train
H1
H05
300
300
20
21
19.333333
2.792352
-2.849849
-2.143593
-2.154383
8.899579
9.286582
8.894538
2.792352
2.849849
0.003801
4.641365
7.187434
8.161891
0.703315
0.708831
2.894226
9
train
H0
H05
500
500
20
20.8
19.2
-0.636336
0.678217
0.366143
0.365725
0.578566
1.33076
0.692644
-0.636336
0.678217
0.491878
0.133755
0.307636
0.459832
0.003439
0.004582
-0.687324
9
train
H1
H05
500
500
20
21.4
22
2.108847
-2.183083
-1.44977
-1.451938
5.492703
6.361332
6.023152
2.108847
2.183083
0.026715
2.108124
3.603073
4.76956
0.054035
0.059719
2.215662
9
train
H0
H05
1,000
1,000
20
19.7
20.9
-0.628057
0.59538
0.785295
0.785555
0.622911
1.405117
0.670516
0.785555
0.785295
0.547001
0.617096
0.557776
0.354516
0.650204
0.665056
-0.602261
9
train
H1
H05
1,000
1,000
20
21.3
19
1.786206
-1.84474
-1.077296
-1.078145
5.76931
6.850811
5.079031
1.786206
1.84474
0.061208
1.162396
2.777693
3.404675
0.007861
0.00431
1.87199