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
95
real_perc2
float64
0
95
Peto_test
float64
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Gehan_test
float64
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8.5
logrank_test
float64
-8.93
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CoxMantel_test
float64
-9.17
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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
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
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6
train
H0
H13
20
20
20
10
5
-0.488517
0.495843
0.685901
0.680491
0.487129
1.827333
0.552539
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0.685901
0.607334
0.463067
0.401297
0.244805
0.709998
0.85755
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6
train
H1
H13
20
20
20
15
0
-1.052275
1.093373
0.811867
0.7963
1.161048
1.154879
1.204364
-1.052275
1.093373
0.262908
0.634093
0.969715
1.188746
0.134432
0.161138
-1.119544
6
train
H0
H13
30
30
20
13.333333
6.666667
1.495341
-1.540318
-1.0851
-1.090651
2.438743
3.294273
2.665007
1.495341
1.540318
0.116474
1.18952
1.882363
2.391158
0.101532
0.107311
1.569745
6
train
H1
H13
30
30
20
30
23.333333
-0.703193
0.818538
0.369208
0.36486
0.887639
1.824057
1.095323
0.36486
0.818538
0.399572
0.133123
0.367051
0.669796
0.01841
0.02249
-0.842386
6
train
H0
H13
50
50
20
20
18
0.320462
-0.366997
-0.125873
-0.125031
0.205146
1.167193
0.285729
0.320462
0.366997
0.710123
0.015633
0.068722
0.134469
0.051158
0.070146
0.37169
6
train
H1
H13
50
50
20
18
22
-0.620974
0.793423
-0.569409
-0.576082
9.30953
9.969352
9.842013
-0.576082
0.793423
0.007292
0.331871
0.046373
0.633521
4.885022
4.742347
-0.806818
6
train
H0
H13
75
75
20
16
20
-0.303177
0.334285
0.015897
0.015764
0.560106
0.675133
0.491564
0.015764
0.334285
0.736475
0.000249
0.055694
0.111535
0.094079
0.065393
-0.336525
6
train
H1
H13
75
75
20
17.333333
24
0.909104
-0.832032
-1.060102
-1.05551
1.114393
2.810203
1.140262
-1.05551
1.060102
0.397489
1.114102
0.957491
0.691025
0.875006
1.056945
0.846114
6
train
H0
H13
100
100
20
19
16
-1.159942
1.17182
0.983753
0.982369
1.534228
2.12075
1.382481
-1.159942
1.17182
0.234812
0.965048
1.363312
1.373917
0.268002
0.352932
-1.188053
6
train
H1
H13
100
100
20
17
27
0.839559
-0.724482
-1.60006
-1.603921
5.240973
5.461862
5.457129
-1.603921
1.60006
0.065313
2.572562
1.252982
0.524816
4.861028
4.860352
0.741359
6
train
H0
H13
150
150
20
20.666667
27.333333
0.669538
-0.528588
-1.407213
-1.407855
5.017271
4.983288
4.994493
-1.407855
1.407213
0.082311
1.982057
0.788938
0.279258
4.34215
4.246425
0.5425
6
train
H1
H13
150
150
20
19.333333
18
0.087014
-0.014626
-0.648153
-0.647657
1.602211
2.978445
2.005997
-0.647657
0.648153
0.366778
0.41946
0.107161
0.000214
1.389421
1.366482
0.019511
6
train
H0
H13
200
200
20
17.5
19
0.868628
-0.955444
-0.190977
-0.190896
1.658627
10.534511
2.943404
-0.190896
0.955444
0.014529
0.036441
0.297029
0.913529
0.505003
0.651672
0.969321
6
train
H1
H13
200
200
20
22
19.5
-1.228244
1.35523
0.185304
0.185846
7.999974
8.516347
7.374339
-1.228244
1.35523
0.025043
0.034539
0.950639
1.8361
1.73754
1.639958
-1.37533
6
train
H0
H13
300
300
20
24.333333
17.333333
-2.1202
2.007028
2.533347
2.536452
6.570892
8.385975
6.696311
2.536452
2.533347
0.035149
6.433591
5.281369
4.032508
5.93293
6.333067
-2.038231
6
train
H1
H13
300
300
20
19
17.666667
0.037868
0.016742
-0.291083
-0.291227
0.13745
6.404583
0.395211
-0.291227
0.291083
0.093502
0.084813
0.046843
0.00028
0.270371
0.318587
-0.015842
6
train
H0
H13
500
500
20
17.2
18.6
1.10166
-1.168874
-0.395547
-0.395114
3.472039
3.570094
3.184098
1.10166
1.168874
0.203508
0.156115
0.901642
1.366355
0.31594
0.276789
1.187416
6
train
H1
H13
500
500
20
20.6
21
0.396918
-0.298415
-1.01977
-1.022457
2.423778
2.825475
2.83561
-1.022457
1.01977
0.242245
1.045417
0.422677
0.089065
2.421723
2.386777
0.302131
6
train
H0
H13
1,000
1,000
20
17.3
16.9
-0.763042
0.734183
0.812003
0.812009
0.783194
1.584506
0.663697
0.812009
0.812003
0.456556
0.659358
0.837139
0.539098
0.427582
0.428918
-0.744531
6
train
H1
H13
1,000
1,000
20
20.8
20.5
0.905371
-0.632249
-2.640853
-2.669827
23.298402
22.696771
23.305269
-2.669827
2.640853
0.000009
7.127979
2.087737
0.399931
19.197162
19.12211
0.629897
6
train
H0
H13
20
20
30
40
35
-0.124759
0.031933
-0.0104
-0.010154
0.254802
2.032759
0.153452
-0.010154
0.031933
0.565635
0.000103
0.007589
0.001014
0.044843
0.001419
-0.034296
6
train
H1
H13
20
20
30
45
35
0.117426
-0.110214
-0.148429
-0.147086
0.024593
0.474737
0.029921
-0.147086
0.148429
0.904071
0.021634
0.021904
0.012081
0.001503
0.000362
0.120521
6
train
H0
H13
30
30
30
23.333333
36.666667
0.768022
-0.721412
-0.887583
-0.889675
0.836915
1.589208
0.860525
-0.889675
0.887583
0.450839
0.791521
0.69077
0.519431
0.576677
0.66164
0.754018
6
train
H1
H13
30
30
30
20
40
0.255444
-0.250072
-0.226234
-0.225752
0.072284
0.178854
0.067228
-0.225752
0.250072
0.795092
0.050964
0.062581
0.06252
0.000055
0.000867
0.259704
6
train
H0
H13
50
50
30
34
18
-0.350497
0.281141
0.60812
0.608665
0.754794
0.981886
0.786693
0.608665
0.60812
0.674795
0.370473
0.180301
0.078775
0.920988
0.941178
-0.286704
6
train
H1
H13
50
50
30
36
34
0.218868
-0.373162
0.119557
0.119415
1.461799
4.657123
1.175931
0.218868
0.373162
0.198696
0.01426
0.066332
0.138886
0.436271
0.362171
0.377392
6
train
H0
H13
75
75
30
32
34.666667
-0.132964
0.18449
0.155602
0.154226
0.025327
0.177086
0.024745
0.154226
0.18449
0.849958
0.023786
0.043481
0.034005
0.042221
0.025639
-0.189172
6
train
H1
H13
75
75
30
24
18.666667
0.527328
-0.524788
-0.663615
-0.665599
0.464461
1.215784
0.504442
-0.665599
0.663615
0.598211
0.443023
0.401578
0.275402
0.390954
0.435122
0.526975
6
train
H0
H13
100
100
30
33
33
0.130183
-0.219249
0.149527
0.148651
0.539365
0.536097
0.580864
0.148651
0.219249
0.74794
0.022097
0.004524
0.047996
0.361745
0.349123
0.223326
6
train
H1
H13
100
100
30
31
35
1.111574
-1.107711
-1.068348
-1.066829
1.236769
1.32408
1.238259
1.111574
1.107711
0.25476
1.138123
1.247571
1.226898
0.487171
0.470579
1.138863
6
train
H0
H13
150
150
30
28
25.333333
-0.005462
0.04383
-0.219552
-0.219019
0.490196
1.505255
0.36356
-0.219019
0.219552
0.681058
0.047969
0.000088
0.001919
0.203447
0.154322
-0.043539
6
train
H1
H13
150
150
30
32
34
0.084912
0.057627
-0.354642
-0.353998
0.324382
4.505026
0.62938
0.084912
0.354642
0.211842
0.125314
0.056448
0.003322
0.455159
0.532854
-0.057572
6
train
H0
H13
200
200
30
24
32
1.386782
-1.26093
-1.687836
-1.684284
2.939619
2.980904
3.022746
-1.684284
1.687836
0.194404
2.836814
2.297403
1.590504
2.623213
2.631871
1.297662
6
train
H1
H13
200
200
30
30
35
0.497941
-0.350601
-1.030553
-1.031609
2.749447
5.274209
3.151962
-1.031609
1.030553
0.152785
1.064218
0.480064
0.122934
2.554918
2.591884
0.361005
6
train
H0
H13
300
300
30
29
30
0.493426
-0.597787
-0.113868
-0.113683
0.836888
2.000245
1.165822
0.493426
0.597787
0.541669
0.012924
0.118316
0.357226
0.248939
0.246331
0.610291
6
train
H1
H13
300
300
30
30
27.333333
-1.882565
2.0456
1.049411
1.049174
7.178152
7.272448
7.308938
-1.882565
2.0456
0.025875
1.100765
2.91015
4.187227
0.254741
0.227212
-2.093435
6
train
H0
H13
500
500
30
31
30.2
0.826716
-0.990245
-0.177038
-0.176836
3.006106
4.015998
3.442546
-0.176836
0.990245
0.178838
0.031271
0.426124
0.980758
0.709133
0.702981
1.013149
6
train
H1
H13
500
500
30
29.4
31.4
0.944624
-0.703136
-1.795593
-1.803012
7.536147
8.184586
7.92285
-1.803012
1.795593
0.019036
3.250852
1.419302
0.4947
7.007765
6.999718
0.71693
6
train
H0
H13
1,000
1,000
30
26.9
29.8
0.256333
-0.189829
-0.542382
-0.541991
0.723666
0.736966
0.733663
-0.541991
0.542382
0.692926
0.293755
0.107831
0.036031
0.625886
0.645557
0.194297
6
train
H1
H13
1,000
1,000
30
28.7
29.3
0.387298
-0.070079
-1.579845
-1.5841
10.005914
15.900049
11.754294
-1.5841
1.579845
0.001189
2.509374
0.611782
0.004913
8.769265
8.817896
0.070962
6
train
H0
H13
20
20
40
45
55
1.944069
-2.141289
-1.479725
-1.50994
6.36052
6.544516
6.300569
1.944069
2.141289
0.022677
2.279919
3.817643
4.708637
0.070417
0.108002
2.278826
6
train
H1
H13
20
20
40
60
40
-0.654745
0.598024
0.834672
0.826707
1.302389
2.309831
1.340063
0.826707
0.834672
0.51064
0.683444
0.493785
0.355862
1.844374
1.854831
-0.640209
6
train
H0
H13
30
30
40
40
50
0.540715
-0.690216
-0.249794
-0.251424
1.601938
1.775596
1.63715
-0.251424
0.690216
0.44106
0.063214
0.240255
0.475275
0.302305
0.2943
0.728649
6
train
H1
H13
30
30
40
43.333333
50
-0.07596
0.150522
-0.035667
-0.035425
0.161185
0.499892
0.18418
-0.035425
0.150522
0.876786
0.001255
0.004295
0.022548
0.012366
0.010214
-0.155045
6
train
H0
H13
50
50
40
40
54
0.197765
-0.108781
-0.290207
-0.29728
0.20952
4.123113
0.261124
0.197765
0.290207
0.248473
0.088375
0.060523
0.01182
0.148866
0.183491
0.12092
6
train
H1
H13
50
50
40
46
36
-1.177425
1.269098
0.866843
0.862658
2.148927
2.125221
2.160877
-1.177425
1.269098
0.190982
0.744179
1.299293
1.60973
0.016951
0.034945
-1.307678
6
train
H0
H13
75
75
40
44
38.666667
0.090543
-0.206594
0.172865
0.172463
0.78389
0.906857
0.832917
0.172463
0.206594
0.659378
0.029743
0.002157
0.042597
0.531673
0.519521
0.207738
6
train
H1
H13
75
75
40
42.666667
45.333333
0.066792
0.048198
-0.300536
-0.299395
0.635045
0.995724
0.695252
-0.299395
0.300536
0.706363
0.089638
0.012931
0.002318
0.349917
0.384897
-0.046028
6
train
H0
H13
100
100
40
33
37
0.560401
-0.503477
-0.644493
-0.640606
0.435279
0.569417
0.427507
-0.640606
0.644493
0.602025
0.410376
0.306576
0.253144
0.293355
0.248377
0.521491
6
train
H1
H13
100
100
40
36
35
-0.968162
1.136226
0.43391
0.434316
3.034534
3.273181
3.164835
-0.968162
1.136226
0.205478
0.188631
0.731305
1.291604
0.293731
0.283789
-1.171329
6
train
H0
H13
150
150
40
38
39.333333
-1.073164
1.163331
0.764396
0.76506
1.84447
1.857759
1.857231
0.76506
1.163331
0.232335
0.585317
1.071282
1.354163
0.003595
0.003216
-1.194364
6
train
H1
H13
150
150
40
42
42
0.664918
-0.556797
-0.989821
-1.000313
2.07233
2.083595
2.151239
-1.000313
0.989821
0.341086
1.000627
0.596271
0.310324
1.790431
1.728406
0.563793
6
train
H0
H13
200
200
40
46
43.5
-1.54454
1.509116
1.518428
1.526875
2.440931
2.822569
2.414476
-1.54454
1.518428
0.118392
2.331346
2.471653
2.280297
1.339206
1.384998
-1.561557
6
train
H1
H13
200
200
40
32.5
44
1.817074
-1.479436
-2.569734
-2.58246
11.271288
11.235793
11.218646
-2.58246
2.569734
0.003664
6.6691
3.77041
2.190834
10.716838
10.61895
1.529716
6
train
H0
H13
300
300
40
40.666667
41.666667
0.592342
-0.607112
-0.434781
-0.434027
0.76404
4.746929
0.531831
0.592342
0.607112
0.191294
0.18838
0.43029
0.368422
0.000611
0.004598
0.627064
6
train
H1
H13
300
300
40
40
41.333333
0.678077
-0.566492
-0.881052
-0.883758
1.104489
1.116435
1.097783
-0.883758
0.881052
0.559892
0.781028
0.498911
0.320789
1.039947
0.996678
0.583002
6
train
H0
H13
500
500
40
43
38.2
-2.352053
2.590507
1.57768
1.580237
10.528522
10.934245
10.189096
-2.352053
2.590507
0.00613
2.497149
5.263304
6.716212
0.084905
0.05234
-2.676114
6
train
H1
H13
500
500
40
41.2
39
-0.536491
0.66046
0.237679
0.23753
0.910127
1.382423
1.064645
0.23753
0.66046
0.494722
0.056421
0.223572
0.436115
0.112247
0.099749
-0.682818
6
train
H0
H13
1,000
1,000
40
41
39.1
-1.091485
1.134345
0.892245
0.891975
1.42015
1.409267
1.401919
-1.091485
1.134345
0.240329
0.79562
1.160914
1.28674
0.114835
0.115398
-1.174165
6
train
H1
H13
1,000
1,000
40
39.2
41.3
1.564546
-0.981315
-2.691815
-2.705806
16.55294
27.460369
18.396
-2.705806
2.691815
0.000005
7.321386
3.271556
0.963792
16.707452
17.007216
1.008917
6
train
H0
H13
20
20
50
65
50
-1.119813
0.957591
1.292717
1.306544
2.347901
2.470882
2.36091
1.306544
1.292717
0.294749
1.707057
1.281865
0.92191
3.23985
3.330573
-1.04776
6
train
H1
H13
20
20
50
45
35
-0.608691
0.516253
0.791104
0.783459
0.900069
0.887873
0.898857
0.783459
0.791104
0.574992
0.613808
0.395503
0.266114
1.273922
1.221333
-0.560715
6
train
H0
H13
30
30
50
50
56.666667
0.404174
-0.464545
-0.32542
-0.323497
0.23513
1.19756
0.258137
-0.323497
0.464545
0.624204
0.10465
0.141848
0.215568
0.007003
0.014397
0.489901
6
train
H1
H13
30
30
50
50
30
-1.147104
1.333854
0.56477
0.565294
4.462556
4.325777
4.477484
-1.147104
1.333854
0.106592
0.319557
1.082876
1.780017
0.48118
0.382669
-1.39867
6
train
H0
H13
50
50
50
40
48
-0.424152
0.517116
0.145537
0.144933
0.96182
1.300782
0.86113
0.144933
0.517116
0.588184
0.021006
0.185813
0.267893
0.109403
0.067394
-0.541469
6
train
H1
H13
50
50
50
36
40
-0.421015
0.579103
-0.18968
-0.187798
3.361563
3.298343
3.425032
-0.187798
0.579103
0.180411
0.035268
0.081311
0.33906
1.244633
1.179555
-0.596785
6
train
H0
H13
75
75
50
41.333333
44
0.62477
-0.517862
-0.697587
-0.696795
0.55893
3.125809
0.511396
-0.696795
0.697587
0.372632
0.485524
0.266273
0.268083
0.377097
0.327391
0.531431
6
train
H1
H13
75
75
50
40
48
0.705709
-0.501814
-1.085527
-1.083715
2.784048
4.819443
2.574737
-1.083715
1.085527
0.185506
1.174438
0.479769
0.251284
2.202175
2.046109
0.523645
6
train
H0
H13
100
100
50
41
49
1.188116
-0.989424
-1.499551
-1.50341
3.23558
3.442692
3.159458
-1.50341
1.499551
0.206031
2.260241
1.374419
0.978881
2.946507
3.079505
1.040959
6
train
H1
H13
100
100
50
46
44
0.196453
-0.417916
0.194679
0.193876
1.970043
2.345223
1.853069
0.193876
0.417916
0.395923
0.037588
0.050623
0.174374
0.860953
0.781266
0.428073
6
train
H0
H13
150
150
50
48
44
0.104994
-0.12813
-0.129028
-0.128605
0.065144
2.152935
0.019942
-0.128605
0.129028
0.541278
0.016539
0.000044
0.01641
0.013942
0.002187
0.135258
6
train
H1
H13
150
150
50
52.666667
42
-1.594801
1.551058
1.599977
1.598116
2.590166
2.58727
2.592597
-1.594801
1.599977
0.108456
2.553976
2.49663
2.405376
1.6183
1.678723
-1.605171
6
train
H0
H13
200
200
50
56
51
-0.811203
0.637547
0.977578
0.975916
1.20041
2.518157
1.255261
0.975916
0.977578
0.472019
0.952412
0.696992
0.406364
1.43194
1.518551
-0.671465
6
train
H1
H13
200
200
50
50
41
-0.956984
0.982715
0.789235
0.788692
1.127434
1.102945
1.125444
-0.956984
0.982715
0.305824
0.622035
0.816021
0.965635
0.095199
0.121523
-1.024024
6
train
H0
H13
300
300
50
48
52.333333
0.589035
-0.477646
-0.697245
-0.696657
0.557918
2.165407
0.598256
-0.696657
0.697245
0.538794
0.48533
0.395344
0.227882
0.536214
0.577614
0.502986
6
train
H1
H13
300
300
50
50
52.666667
0.312416
-0.079578
-0.680558
-0.680156
2.384952
2.425473
2.341218
-0.680156
0.680558
0.310178
0.462612
0.092393
0.00633
1.651369
1.642518
0.08505
6
train
H0
H13
500
500
50
48.6
47.4
-0.007024
-0.014234
-0.004246
-0.004243
0.002878
0.082094
0.001653
-0.004243
0.014234
0.98834
0.000018
0.00006
0.000199
0.000367
0.001163
0.014614
6
train
H1
H13
500
500
50
51.8
50
-1.506278
1.836545
0.906694
0.906715
7.277471
7.358519
7.152748
0.906715
1.836545
0.027977
0.822131
2.405002
3.372748
0.486704
0.475233
-1.906809
6
train
H0
H13
1,000
1,000
50
51.9
50
-0.671677
0.436409
1.040777
1.040859
2.925093
5.130396
2.666574
1.040859
1.040777
0.162494
1.083387
0.372233
0.190427
2.540217
2.451166
-0.454952
6
train
H1
H13
1,000
1,000
50
51.5
48
-2.339343
2.744845
1.540552
1.541294
12.581228
13.416316
13.072742
1.541294
2.744845
0.00145
2.375586
5.217121
7.540335
0.378933
0.369982
-2.850384
6
train
H0
H14
20
20
0
0
0
-0.568052
0.568052
0.218645
0.214364
0.392944
3.338317
0.701135
-0.568052
0.568052
0.342345
0.045952
0.143901
0.321136
0.031784
0.079771
-0.575288
6
train
H1
H14
20
20
0
0
0
-0.13525
0.13525
-0.368021
-0.363636
1.394754
1.965811
1.173791
-0.13525
0.368021
0.556051
0.132231
0.001215
0.018126
0.573267
0.450612
-0.136973
6
train
H0
H14
30
30
0
0
0
-0.90185
0.90185
1.35386
1.370918
2.578752
3.155076
2.437548
1.370918
1.35386
0.295592
1.879415
1.2081
0.811338
2.836553
2.717454
-0.909461
6
train
H1
H14
30
30
0
0
0
0.473102
-0.473102
-0.068216
-0.0669
0.788361
0.798037
0.747897
0.473102
0.473102
0.633295
0.004476
0.111987
0.223009
0.188543
0.143756
0.477094
6
train
H0
H14
50
50
0
0
0
-0.599762
0.599762
0.866192
0.860548
0.896172
0.948119
0.848274
-0.599762
0.866192
0.546653
0.740542
0.479898
0.358449
0.94415
0.920993
-0.602784
6
train
H1
H14
50
50
0
0
0
-0.296434
0.296434
0.992289
1.003085
3.200755
3.957153
2.731299
-0.296434
0.992289
0.255215
1.006179
0.294459
0.087637
2.474962
2.31489
-0.297928
6
train
H0
H14
75
75
0
0
0
-0.107124
0.107124
0.120738
0.119635
0.01443
0.158718
0.014344
-0.107124
0.120738
0.914976
0.014312
0.01217
0.011454
0.018694
0.010831
-0.106764
6
train
H1
H14
75
75
0
0
0
1.41892
-1.41892
-0.991844
-0.986038
1.735461
3.462919
2.283311
1.41892
1.41892
0.157318
0.972272
1.490065
2.016681
0.073547
0.05536
1.41415
6
train
H0
H14
100
100
0
0
0
-0.356735
0.356735
-0.364124
-0.367641
3.702718
9.289586
2.24004
-0.356735
0.364124
0.025678
0.13516
0.045013
0.127216
1.157702
0.998709
-0.35763
6
train
H1
H14
100
100
0
0
0
-0.14416
0.14416
0.525677
0.522153
0.628015
0.596948
0.671822
-0.14416
0.525677
0.714687
0.272644
0.092002
0.020754
0.647245
0.624818
-0.144522
6
train
H0
H14
150
150
0
0
0
0.126456
-0.126456
-1.432464
-1.450318
7.024161
8.795192
7.980129
-1.450318
1.432464
0.018499
2.103421
0.467421
0.016004
6.243846
6.332622
0.126667
6
train
H1
H14
150
150
0
0
0
-0.910484
0.910484
1.266116
1.265087
1.634992
1.690711
1.750059
1.265087
1.266116
0.361766
1.600445
1.30251
0.829156
1.691987
1.7045
-0.912005
6
train
H0
H14
200
200
0
0
0
-1.826764
1.826764
1.486164
1.484378
3.313127
3.173351
3.386298
1.484378
1.826764
0.067392
2.203377
3.015408
3.341482
0.535272
0.611056
-1.829051
6
train
H1
H14
200
200
0
0
0
0.256024
-0.256024
-0.263828
-0.262936
0.15342
1.763469
0.072194
-0.262936
0.263828
0.622917
0.069135
0.108601
0.065487
0.030007
0.051063
0.256344
6
train
H0
H14
300
300
0
0
0
0.355143
-0.355143
-0.747958
-0.746722
0.762579
0.954932
0.908506
-0.746722
0.747958
0.634922
0.557593
0.30456
0.126067
0.852361
0.849507
0.35544
6
train
H1
H14
300
300
0
0
0
0.478548
-0.478548
1.172163
1.185214
10.132199
15.720518
11.43419
0.478548
1.172163
0.001294
1.404733
0.029585
0.229086
6.553972
6.816834
0.478948
6
train
H0
H14
500
500
0
0
0
1.300958
-1.300958
-0.727876
-0.726962
1.950976
3.577518
2.344992
1.300958
1.300958
0.19305
0.528474
1.19755
1.692762
0.00193
0.004973
1.301609
6
train
H1
H14
500
500
0
0
0
-0.182191
0.182191
1.383883
1.387385
3.955125
7.356283
6.214586
1.387385
1.383883
0.044722
1.924838
0.670228
0.033207
4.921628
4.987578
-0.182282
6
train
H0
H14
1,000
1,000
0
0
0
1.008118
-1.008118
-0.970763
-0.970688
1.191258
2.231173
1.053719
1.008118
1.008118
0.313277
0.942235
1.101353
1.016238
0.447131
0.474564
1.00837
6
train
H1
H14
1,000
1,000
0
0
0
0.087895
-0.087895
1.858196
1.866698
13.964878
13.423527
15.595396
1.866698
1.858196
0.000411
3.48456
0.512427
0.007727
11.152441
11.066897
0.087917