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
-7.97
10.1
Gehan_test
float64
-10.22
8.5
logrank_test
float64
-8.93
6.76
CoxMantel_test
float64
-9.17
7.03
BN_GPH_test
float64
0
109
BN_MCE_test
float64
0
143
BN_SCE_test
float64
0
114
Q_test
float64
-8.08
10.1
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
-8.89
10.7
7,646
train
H0
H02
20
20
20
20
15
0.794373
-0.822008
-0.133958
-0.134326
3.532375
7.900003
2.742446
-0.134326
0.822008
0.048124
0.018044
0.400436
0.649763
0.439047
0.254411
0.85129
7,646
train
H1
H02
20
20
20
10
25
1.634686
-1.718825
-1.242345
-1.213489
2.513916
5.808103
3.02527
1.634686
1.718825
0.072439
1.472556
2.188235
2.91201
0.128658
0.085238
1.796352
7,646
train
H0
H02
30
30
20
13.333333
23.333333
0.263611
-0.233514
-0.373612
-0.368616
0.13648
3.679212
0.167831
-0.368616
0.373612
0.298252
0.135878
0.135602
0.054227
0.102197
0.18217
0.243456
7,646
train
H1
H02
30
30
20
13.333333
10
1.835804
-1.867105
-2.072008
-2.178551
5.047756
6.609369
4.903319
-2.178551
2.072008
0.050821
4.746086
3.957653
3.528417
3.868935
3.733057
1.952991
7,646
train
H0
H02
50
50
20
16
16
-0.575663
0.566584
0.544324
0.539127
0.304124
0.613367
0.333196
0.539127
0.566584
0.555218
0.290658
0.298243
0.319568
0.191857
0.169443
-0.58996
7,646
train
H1
H02
50
50
20
38
28
-0.067066
-0.04861
-0.090806
-0.092316
0.404386
4.675294
0.205657
-0.092316
0.090806
0.197177
0.008522
0.002144
0.002355
0.069908
0.032646
0.056458
7,646
train
H0
H02
75
75
20
18.666667
14.666667
-1.093394
1.064546
1.010425
1.00434
1.37724
2.406589
1.195231
-1.093394
1.064546
0.278199
1.008699
1.285194
1.13193
0.445423
0.604428
-1.084374
7,646
train
H1
H02
75
75
20
18.666667
29.333333
1.782981
-2.000217
-1.100494
-1.088616
3.785635
4.243688
4.509695
1.782981
2.000217
0.036059
1.185086
2.601163
3.995542
0.000743
0.000013
2.096266
7,646
train
H0
H02
100
100
20
19
20
0.272503
-0.236846
-0.083821
-0.083684
0.534217
4.404656
0.210175
-0.083684
0.236846
0.220954
0.007003
0.066707
0.055991
0.045339
0.015067
0.245281
7,646
train
H1
H02
100
100
20
20
19
-0.098533
-0.082254
1.016253
1.0209
4.212283
3.957326
4.669996
1.0209
1.016253
0.096811
1.042237
0.16811
0.006769
3.667031
3.587076
0.08545
7,646
train
H0
H02
150
150
20
20.666667
20.666667
0.338527
-0.357645
0.170472
0.169629
1.231431
1.303956
1.190375
0.338527
0.357645
0.551459
0.028774
0.042528
0.12776
0.541733
0.498654
0.373106
7,646
train
H1
H02
150
150
20
24
20
1.217502
-1.411668
-0.349006
-0.347258
3.398228
3.438487
4.174129
1.217502
1.411668
0.124051
0.120588
0.94402
1.996806
0.608042
0.569968
1.485768
7,646
train
H0
H02
200
200
20
23.5
27
1.139003
-1.101804
-0.766045
-0.764147
2.428422
4.88416
1.714384
-0.764147
1.101804
0.180479
0.583921
1.274841
1.214271
0.008701
0.032478
1.148169
7,646
train
H1
H02
200
200
20
19.5
16
1.203647
-1.549108
0.656138
0.662393
13.021847
18.664352
17.187545
0.662393
1.549108
0.000185
0.438765
0.274743
2.413928
6.571884
6.565415
1.610691
7,646
train
H0
H02
300
300
20
20.666667
21.666667
0.89593
-0.999809
0.234949
0.235227
6.996484
7.368373
6.273189
0.89593
0.999809
0.04343
0.055332
0.393434
0.99907
2.224556
2.087877
1.045981
7,646
train
H1
H02
300
300
20
17.333333
21.333333
4.581773
-4.782388
-3.461354
-3.49232
20.011498
24.363387
22.924721
4.581773
4.782388
0
12.196298
18.283216
23.014116
2.020532
2.000691
5.032028
7,646
train
H0
H02
500
500
20
22.6
18.2
-0.346686
0.346087
0.025629
0.025696
1.311555
9.879741
0.528626
0.025696
0.346087
0.019617
0.00066
0.111276
0.119743
0.122031
0.088841
-0.360328
7,646
train
H1
H02
500
500
20
19.6
16.8
3.125347
-3.388794
-1.6454
-1.646569
12.1864
14.725479
15.745359
3.125347
3.388794
0.000381
2.71119
7.025607
11.529915
0.152726
0.165729
3.539652
7,646
train
H0
H02
1,000
1,000
20
19.7
19.6
0.585327
-0.600861
-0.286016
-0.285675
0.794855
1.489526
0.608583
0.585327
0.600861
0.532815
0.08161
0.28876
0.360952
0.023411
0.014924
0.623714
7,646
train
H1
H02
1,000
1,000
20
20.1
18.8
4.98131
-5.373012
-3.333266
-3.348824
24.298001
24.606602
31.025207
4.98131
5.373012
0
11.214622
19.603206
29.013473
0.45766
0.492845
5.607157
7,646
train
H0
H02
20
20
30
20
50
0.773469
-0.717916
-1.100778
-1.082378
1.681691
1.790095
1.650968
0.773469
1.100778
0.412342
1.171542
0.81479
0.513537
1.347415
1.314297
0.819779
7,646
train
H1
H02
20
20
30
30
60
1.136587
-1.748979
-0.362654
-0.391529
12.11893
12.591909
11.947565
1.136587
1.748979
0.002545
0.153295
1.472083
3.058745
1.479209
1.24147
1.868301
7,646
train
H0
H02
30
30
30
30
36.666667
0.224823
-0.320506
0.111467
0.110369
0.94735
2.167118
0.776513
0.110369
0.320506
0.538454
0.012181
0.0331
0.089922
0.401774
0.283538
0.328751
7,646
train
H1
H02
30
30
30
46.666667
30
-0.948577
0.611832
1.681209
1.738404
9.583592
12.56539
9.090566
1.738404
1.681209
0.005677
3.022047
1.142127
0.373694
7.849294
7.457495
-0.699513
7,646
train
H0
H02
50
50
30
26
38
1.07922
-1.057957
-1.140924
-1.129826
1.293369
1.383161
1.285552
-1.129826
1.140924
0.258366
1.276508
1.264275
1.114656
0.677593
0.699902
1.130261
7,646
train
H1
H02
50
50
30
20
28
0.923143
-1.147083
0.028713
0.028683
4.333863
4.310042
4.854681
0.923143
1.147083
0.088271
0.000823
0.423863
1.316446
1.411317
1.302717
1.228294
7,646
train
H0
H02
75
75
30
30.666667
30.666667
0.438791
-0.299873
-0.861484
-0.863117
1.74672
3.64039
1.481369
0.438791
0.861484
0.303005
0.744971
0.266568
0.089655
1.255373
1.108687
0.32311
7,646
train
H1
H02
75
75
30
29.333333
42.666667
1.410899
-1.550649
-0.968202
-0.956974
2.474739
2.376092
2.700651
1.410899
1.550649
0.103701
0.915798
1.774556
2.402983
0.000526
0.004714
1.627169
7,646
train
H0
H02
100
100
30
25
34
1.707332
-1.762923
-1.145311
-1.137438
3.495816
3.985611
3.822607
1.707332
1.762923
0.05997
1.293766
2.473688
3.110586
0.021349
0.028202
1.881016
7,646
train
H1
H02
100
100
30
25
24
1.947155
-2.227158
-0.817881
-0.813363
6.235733
10.747175
8.263024
1.947155
2.227158
0.013175
0.661559
2.618689
4.988569
0.48183
0.541394
2.35664
7,646
train
H0
H02
150
150
30
28.666667
27.333333
1.265609
-1.304072
-0.444102
-0.445501
5.571979
8.24225
4.462341
-0.445501
1.304072
0.041262
0.198471
1.238157
1.701496
0.457566
0.368738
1.382735
7,646
train
H1
H02
150
150
30
36
26.666667
0.325654
-0.515685
0.125237
0.124668
0.727722
2.609655
1.180554
0.325654
0.515685
0.455799
0.015542
0.040985
0.263446
0.542658
0.632901
0.55096
7,646
train
H0
H02
200
200
30
30.5
27.5
-1.317308
1.371176
0.880366
0.876464
2.453365
2.800834
2.272991
-1.317308
1.371176
0.143051
0.76819
1.553524
1.879122
0.008042
0.029808
-1.464522
7,646
train
H1
H02
200
200
30
32
34
0.723544
-1.011423
-0.575785
-0.574721
0.337955
6.622705
0.569263
0.723544
1.011423
0.084947
0.330304
0.442974
1.021738
0.041212
0.01557
1.097554
7,646
train
H0
H02
300
300
30
31.333333
31.666667
1.165498
-1.247874
-0.542159
-0.540885
2.962119
2.97828
2.84509
1.165498
1.247874
0.183619
0.292557
1.108613
1.557157
0.17527
0.154786
1.329696
7,646
train
H1
H02
300
300
30
30.666667
29
2.174738
-2.750469
-1.09401
-1.093665
5.534392
14.298956
8.913409
2.174738
2.750469
0.002525
1.196103
3.532526
7.614065
0.216528
0.267593
2.955705
7,646
train
H0
H02
500
500
30
30
29.2
-1.258766
1.317707
1.059523
1.058462
1.539419
1.450647
1.618946
-1.258766
1.317707
0.162668
1.120343
1.513261
1.73627
0.272211
0.286394
-1.396155
7,646
train
H1
H02
500
500
30
31.4
30.8
4.152297
-4.488458
-2.873495
-2.889839
19.808947
23.492856
22.187257
4.152297
4.488458
0.000002
8.351172
15.211102
20.294934
0.327175
0.307119
4.79163
7,646
train
H0
H02
1,000
1,000
30
30.1
30.7
-0.691978
0.591753
0.830384
0.830095
0.693222
0.77373
0.711125
-0.691978
0.830384
0.531639
0.689058
0.561919
0.350194
0.62757
0.623246
-0.625506
7,646
train
H1
H02
1,000
1,000
30
29.8
30.3
5.050192
-5.649643
-3.6442
-3.662046
24.316101
41.866948
30.444404
5.050192
5.649643
0
13.410579
22.244458
32.077426
1.0013
0.950242
6.026676
7,646
train
H0
H02
20
20
40
35
45
1.314261
-1.408591
-0.754011
-0.751436
4.633789
7.455826
4.228211
-0.751436
1.408591
0.058704
0.564656
1.467417
1.971666
0.089996
0.032844
1.462763
7,646
train
H1
H02
20
20
40
35
40
0.053043
-0.17075
0.433061
0.430374
2.093336
2.211556
2.102684
0.053043
0.433061
0.349468
0.185222
0.011112
0.017444
1.352721
1.318844
0.102309
7,646
train
H0
H02
30
30
40
43.333333
50
0.21199
-0.422427
0.304133
0.29917
1.966885
2.020966
1.941408
0.21199
0.422427
0.378816
0.089503
0.037207
0.168574
1.20684
1.030905
0.461841
7,646
train
H1
H02
30
30
40
33.333333
30
-0.720793
0.437232
1.256498
1.269251
2.732613
2.731232
2.916506
-0.720793
1.256498
0.232642
1.610999
0.734902
0.191925
3.128387
3.138234
-0.490798
7,646
train
H0
H02
50
50
40
48
42
0.84098
-0.903009
-0.645027
-0.646002
0.996273
1.142845
0.963317
-0.646002
0.903009
0.333898
0.417318
0.682551
0.812434
0.001133
0.003159
0.966291
7,646
train
H1
H02
50
50
40
42
42
0.767757
-0.977739
-0.383734
-0.379459
1.077033
1.894785
1.275492
0.767757
0.977739
0.278923
0.143989
0.523646
0.944902
0.117123
0.122792
1.082742
7,646
train
H0
H02
75
75
40
37.333333
41.333333
-0.196196
0.16396
0.227037
0.224758
0.058055
0.269944
0.051481
-0.196196
0.227037
0.863826
0.050516
0.031
0.026849
0.069594
0.051325
-0.171506
7,646
train
H1
H02
75
75
40
40
33.333333
1.689199
-2.007632
-1.026912
-1.027919
3.178007
7.428972
4.3478
1.689199
2.007632
0.028402
1.056618
2.522719
4.085247
0.017846
0.04133
2.191688
7,646
train
H0
H02
100
100
40
45
36
-1.055706
0.57895
1.717386
1.718871
4.135683
9.643214
4.980329
-1.055706
1.717386
0.021856
2.954519
1.392385
0.334815
4.957179
5.70263
-0.636256
7,646
train
H1
H02
100
100
40
41
45
0.694376
-1.088282
-0.100101
-0.099344
1.84918
1.706408
2.186561
0.694376
1.088282
0.225677
0.009869
0.418093
1.16953
0.599996
0.555337
1.21157
7,646
train
H0
H02
150
150
40
38.666667
48.666667
2.335264
-2.524288
-1.822395
-1.820918
6.225486
7.616538
6.609648
2.335264
2.524288
0.006005
3.315742
5.191445
6.388769
0.299246
0.289309
2.747532
7,646
train
H1
H02
150
150
40
44.666667
34.666667
1.733569
-1.788844
-1.80311
-1.873899
3.580744
8.262901
3.514501
-1.873899
1.80311
0.04088
3.511499
3.131097
3.228019
2.379501
2.283229
1.954713
7,646
train
H0
H02
200
200
40
37
35
-0.472484
0.626885
0.044078
0.043874
1.011674
0.927153
1.099685
0.043874
0.626885
0.498317
0.001925
0.166979
0.392658
0.255596
0.228662
-0.67714
7,646
train
H1
H02
200
200
40
36.5
42.5
3.219513
-3.845516
-2.015107
-2.011932
13.44715
16.878366
15.808216
3.219513
3.845516
0.00003
4.047871
9.6384
14.889208
0.008049
0.004746
4.170125
7,646
train
H0
H02
300
300
40
36.666667
38.333333
1.454769
-1.637476
-1.152792
-1.152452
1.852318
5.621597
2.340562
1.454769
1.637476
0.079562
1.328146
1.959256
2.681505
0.142746
0.109853
1.753233
7,646
train
H1
H02
300
300
40
46.333333
41.666667
0.925468
-1.13208
-1.176577
-1.187997
1.817208
2.416454
1.643681
-1.187997
1.176577
0.206855
1.411336
1.041603
1.285313
1.597789
1.591973
1.262262
7,646
train
H0
H02
500
500
40
36.8
40.8
-0.481857
0.631145
-0.13926
-0.139244
3.218313
5.149701
2.538061
-0.481857
0.631145
0.161158
0.019389
0.176451
0.399047
0.970278
0.858873
-0.678349
7,646
train
H1
H02
500
500
40
36
38.8
3.818339
-4.38285
-2.50144
-2.503344
17.125277
19.243984
20.52723
3.818339
4.38285
0.000002
6.266729
13.102307
19.303774
0.019195
0.024381
4.759453
7,646
train
H0
H02
1,000
1,000
40
38
39.9
-0.015582
0.138163
-0.314642
-0.314616
0.613882
0.767425
0.692922
-0.314616
0.314642
0.707187
0.098983
0.001165
0.019088
0.459504
0.460487
-0.148101
7,646
train
H1
H02
1,000
1,000
40
41
39.5
5.158394
-5.995069
-3.735001
-3.76347
27.647453
39.704525
33.705076
5.158394
5.995069
0
14.163705
24.751544
36.206173
0.724015
0.68198
6.553572
7,646
train
H0
H02
20
20
50
50
40
-0.256348
0.533101
-0.162936
-0.16181
1.945641
1.923826
1.94508
-0.16181
0.533101
0.378121
0.026182
0.062365
0.281142
0.576511
0.487094
-0.574636
7,646
train
H1
H02
20
20
50
75
50
-0.152081
0.297467
-0.165311
-0.181563
5.510878
5.601438
5.489571
-0.181563
0.297467
0.064262
0.032965
0.021473
0.189209
2.478895
2.438629
-0.755473
7,646
train
H0
H02
30
30
50
60
53.333333
-0.960234
1.125528
0.723323
0.712281
1.05242
3.772221
1.24706
0.712281
1.125528
0.193815
0.507344
1.001736
1.296718
0.009447
0.000022
-1.299375
7,646
train
H1
H02
30
30
50
53.333333
36.666667
0.292662
-0.688389
0.50238
0.494804
4.995504
5.192171
5.148339
0.494804
0.688389
0.076217
0.244831
0.042141
0.472597
2.72162
2.57308
0.735644
7,646
train
H0
H02
50
50
50
56
52
-1.591394
1.549155
1.447057
1.441122
2.643827
2.686819
2.616098
-1.591394
1.549155
0.090537
2.076831
2.569944
2.413634
0.547775
0.632563
-1.692572
7,646
train
H1
H02
50
50
50
40
60
2.375148
-2.728818
-1.432335
-1.438365
11.448577
11.580785
11.564046
2.375148
2.728818
0.001871
2.068895
5.360109
7.381629
0.081824
0.028461
3.109991
7,646
train
H0
H02
75
75
50
58.666667
45.333333
-0.934776
1.230956
0.327375
0.330835
4.394289
4.54391
4.249355
0.330835
1.230956
0.119472
0.109452
0.923135
1.511929
0.897186
0.803302
-1.335037
7,646
train
H1
H02
75
75
50
49.333333
46.666667
2.35616
-3.116578
-1.274899
-1.289086
9.902471
25.371419
12.47864
2.35616
3.116578
0.000013
1.661743
5.681467
10.04857
0.282009
0.367369
3.368124
7,646
train
H0
H02
100
100
50
45
56
0.556315
-0.723328
-0.424083
-0.425145
0.233249
3.656506
0.389088
-0.425145
0.723328
0.301024
0.180748
0.317926
0.516582
0.000877
0.010545
0.814684
7,646
train
H1
H02
100
100
50
64
60
1.883959
-2.088968
-1.342843
-1.365757
5.541121
5.725844
5.310453
1.883959
2.088968
0.01313
1.865292
3.76648
4.30179
0.002941
0.037605
2.480217
7,646
train
H0
H02
150
150
50
42
49.333333
0.451556
-0.403605
-0.125419
-0.126443
1.251143
3.800517
0.920297
0.451556
0.403605
0.283826
0.015988
0.164424
0.162937
0.210632
0.166697
0.446818
7,646
train
H1
H02
150
150
50
51.333333
52.666667
1.861042
-2.26662
-1.636784
-1.664157
3.255091
9.10467
3.604335
-1.664157
2.26662
0.011197
2.769417
3.668934
5.13664
0.730656
0.694416
2.536479
7,646
train
H0
H02
200
200
50
47.5
46.5
-0.0663
0.116277
0.126454
0.125899
0.028884
0.157093
0.034768
-0.0663
0.126454
0.898346
0.015851
0.007875
0.013657
0.051363
0.064617
-0.127751
7,646
train
H1
H02
200
200
50
53.5
46
0.828367
-1.317145
-0.430846
-0.431692
1.025159
6.964956
1.599097
0.828367
1.317145
0.073023
0.186358
0.735049
1.743451
0.118963
0.165135
1.494634
7,646
train
H0
H02
300
300
50
48
51
0.192659
-0.188126
-0.311406
-0.31053
0.205353
0.297995
0.171482
-0.31053
0.311406
0.836615
0.096429
0.039746
0.035257
0.131575
0.128451
0.206225
7,646
train
H1
H02
300
300
50
52.666667
52.666667
2.750208
-3.187042
-2.438004
-2.473004
7.046528
13.395425
7.727545
2.750208
3.187042
0.000293
6.115751
8.074426
10.191089
1.662152
1.554093
3.621796
7,646
train
H0
H02
500
500
50
48.2
52.4
2.009147
-2.103911
-1.15109
-1.156732
10.933033
20.192586
8.927452
2.009147
2.103911
0.000155
1.338029
3.996108
4.425444
0.246976
0.181866
2.305574
7,646
train
H1
H02
500
500
50
52.8
46.6
3.328714
-4.507154
-1.550742
-1.562875
22.497724
43.850865
28.643225
3.328714
4.507154
0
2.442579
10.470144
20.582732
1.853439
1.954554
5.129617
7,646
train
H0
H02
1,000
1,000
50
47.9
50.7
0.462437
-0.529265
-0.584664
-0.584664
0.481268
0.828229
0.398742
-0.584664
0.584664
0.560723
0.341832
0.216762
0.27994
0.369458
0.37613
0.581767
7,646
train
H1
H02
1,000
1,000
50
51.9
50.4
4.870067
-6.267314
-3.043308
-3.060642
32.558748
47.764799
39.958179
4.870067
6.267314
0
9.36753
24.227144
39.588257
0.201179
0.229177
7.0757
7,646
train
H0
H03
20
20
0
0
0
0.595102
-0.595102
0.229323
0.225325
2.353265
3.156284
2.956518
0.595102
0.595102
0.228034
0.050772
0.047486
0.354774
1.107396
1.106754
0.602683
7,646
train
H1
H03
20
20
0
0
0
-2.136957
2.136957
1.073787
1.071735
5.987672
13.856181
7.958257
-2.136957
2.136957
0.003108
1.148616
2.791838
4.764122
0.495027
0.732069
-2.164181
7,646
train
H0
H03
30
30
0
0
0
-1.138401
1.138401
0.667049
0.658358
1.898402
1.939485
1.803192
-1.138401
1.138401
0.250965
0.433435
0.999936
1.2978
0.006663
0.000119
-1.148008
7,646
train
H1
H03
30
30
0
0
0
0.916634
-0.916634
-1.048024
-1.050961
1.221159
4.896285
1.105002
-1.050961
1.048024
0.179551
1.104519
1.239781
0.843723
0.81666
1.135508
0.92437
7,646
train
H0
H03
50
50
0
0
0
0.165452
-0.165452
-0.564201
-0.560637
0.945782
1.319864
0.787314
0.165452
0.564201
0.674585
0.314314
0.086265
0.02727
0.608419
0.526429
0.166285
7,646
train
H1
H03
50
50
0
0
0
-1.413233
1.413233
0.387151
0.383273
4.160717
4.353828
5.10003
-1.413233
1.413233
0.078081
0.146898
0.960385
2.008363
0.714786
0.670694
-1.420353
7,646
train
H0
H03
75
75
0
0
0
0.204851
-0.204851
0.280464
0.278791
1.029714
1.286751
0.932119
0.204851
0.280464
0.62747
0.077724
0.000878
0.041906
0.535999
0.462239
0.204162
7,646
train
H1
H03
75
75
0
0
0
1.125739
-1.125739
-0.944986
-0.944623
1.71031
4.532202
1.273973
-0.944623
1.125739
0.209436
0.892312
1.360469
1.266653
0.245411
0.35975
1.121955
7,646
train
H0
H03
100
100
0
0
0
0.386055
-0.386055
-1.030487
-1.035753
2.712893
4.040759
2.297649
0.386055
1.030487
0.257096
1.072784
0.378331
0.148894
2.002175
1.866047
0.387024
7,646
train
H1
H03
100
100
0
0
0
-0.88695
0.88695
0.923712
0.920697
0.849351
1.907533
0.876552
0.920697
0.923712
0.373909
0.847683
0.733248
0.786313
0.53467
0.475159
-0.889176
7,646
train
H0
H03
150
150
0
0
0
2.262898
-2.262898
-1.469238
-1.469016
5.072144
9.404209
6.186427
2.262898
2.262898
0.02341
2.158007
3.886574
5.148613
0.121707
0.098264
2.266679
7,646
train
H1
H03
150
150
0
0
0
-1.581367
1.581367
1.367115
1.378366
1.901959
14.974715
2.509104
-1.581367
1.581367
0.001838
1.899892
1.752644
2.508254
0.601367
0.506416
-1.584009
7,646
train
H0
H03
200
200
0
0
0
0.573458
-0.573458
0.045688
0.04558
1.21858
2.1429
1.546639
0.573458
0.573458
0.461479
0.002078
0.102921
0.328729
0.448418
0.493122
0.574177
7,646
train
H1
H03
200
200
0
0
0
-1.171135
1.171135
1.162685
1.16821
1.366909
1.521242
1.460977
-1.171135
1.171135
0.240955
1.364714
1.123183
1.373696
0.679658
0.739412
-1.172602
7,646
train
H0
H03
300
300
0
0
0
-0.88409
0.88409
0.842368
0.84047
0.757482
1.326221
0.803101
0.84047
0.88409
0.37625
0.706391
0.782694
0.781422
0.340404
0.31795
-0.884828
7,646
train
H1
H03
300
300
0
0
0
-2.526038
2.526038
1.944573
1.955647
4.515375
17.612234
6.677911
-2.526038
2.526038
0.000529
3.824553
4.50576
6.403574
0.634213
0.56335
-2.528146
7,646
train
H0
H03
500
500
0
0
0
0.989569
-0.989569
-0.603924
-0.603482
0.533738
2.169797
1.243781
0.989569
0.989569
0.322143
0.364191
0.509095
0.979505
0.004035
0.001776
0.990064
7,646
train
H1
H03
500
500
0
0
0
-0.74256
0.74256
0.675663
0.678536
0.804928
11.574643
0.555828
-0.74256
0.74256
0.008992
0.460411
0.214958
0.551879
0.166919
0.135257
-0.742931
7,646
train
H0
H03
1,000
1,000
0
0
0
-0.301398
0.301398
0.406872
0.406503
0.168338
0.259164
0.175699
0.406503
0.406872
0.763054
0.165245
0.140759
0.090824
0.169996
0.15678
-0.301473
7,646
train
H1
H03
1,000
1,000
0
0
0
-3.591527
3.591527
3.203442
3.22619
10.56172
25.624232
12.962722
-3.591527
3.591527
0.000011
10.408302
10.109471
12.929234
3.733376
3.642781
-3.592425