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
7,647
train
H0
H05
20
20
20
10
5
-0.97722
0.942468
1.109048
1.093371
1.206351
1.444112
1.196434
-0.97722
1.109048
0.336828
1.195461
1.001031
0.885109
1.143552
1.119075
-0.960452
7,647
train
H1
H05
20
20
20
25
25
2.041211
-2.155095
-1.462526
-1.473479
5.431713
6.590561
5.664843
2.041211
2.155095
0.024175
2.171139
3.847928
4.751178
0.167451
0.205539
2.254343
7,647
train
H0
H05
30
30
20
10
10
0.090236
-0.045568
-0.588873
-0.581378
1.493894
1.740541
1.346946
0.090236
0.588873
0.509935
0.338001
0.051014
0.002066
0.880708
0.727921
0.049465
7,647
train
H1
H05
30
30
20
16.666667
10
-1.481015
1.488042
1.368182
1.36464
2.180437
2.322446
2.203824
-1.481015
1.488042
0.129436
1.862242
2.187771
2.222255
0.816993
0.859645
-1.516331
7,647
train
H0
H05
50
50
20
22
24
0.252764
-0.349221
0.189519
0.189036
0.892365
4.551213
1.351727
0.252764
0.349221
0.207767
0.035735
0.003448
0.122115
0.64266
0.766958
0.35128
7,647
train
H1
H05
50
50
20
30
24
0.825776
-0.892171
-0.542423
-0.541193
1.16304
1.292541
1.070725
0.825776
0.892171
0.356518
0.29289
0.648686
0.796412
0.003521
0.002453
0.922021
7,647
train
H0
H05
75
75
20
20
25.333333
-0.074569
0.171
-0.46143
-0.461196
2.384412
4.108331
1.970815
-0.461196
0.46143
0.250001
0.212702
0.000071
0.029171
1.146313
0.966702
-0.16901
7,647
train
H1
H05
75
75
20
18.666667
16
1.23727
-1.304555
-0.556907
-0.554868
3.018505
4.760585
3.565244
1.23727
1.304555
0.168197
0.307879
0.95459
1.705516
0.206101
0.219287
1.313102
7,647
train
H0
H05
100
100
20
26
21
-1.172594
1.26702
0.603579
0.603732
3.630104
5.089062
3.129606
-1.172594
1.26702
0.165391
0.364493
1.217536
1.605586
0.158656
0.116819
-1.281849
7,647
train
H1
H05
100
100
20
19
21
1.437481
-1.414482
-1.286616
-1.293749
1.923506
2.786101
2.076888
1.437481
1.414482
0.151678
1.673786
1.795044
2.002333
0.565408
0.564171
1.433629
7,647
train
H0
H05
150
150
20
24
24.666667
1.319667
-1.381179
-0.929059
-0.927478
2.819493
4.35053
2.375067
1.319667
1.381179
0.160584
0.860215
1.745048
1.908855
0.026799
0.038675
1.403108
7,647
train
H1
H05
150
150
20
19.333333
19.333333
2.528835
-2.61885
-1.530251
-1.531916
10.072783
9.739665
10.258115
2.528835
2.61885
0.005922
2.346767
5.068762
6.894795
0.002392
0
2.652214
7,647
train
H0
H05
200
200
20
20
24
1.475953
-1.429444
-1.558083
-1.560145
2.434065
2.710128
2.4428
-1.560145
1.558083
0.146693
2.434052
2.159013
2.04417
1.555014
1.548726
1.451311
7,647
train
H1
H05
200
200
20
21
18.5
0.959637
-1.008455
-0.611205
-0.610648
1.072682
2.544921
1.358441
-0.610648
1.008455
0.305778
0.372891
0.679144
1.017773
0.000576
0.001539
1.024121
7,647
train
H0
H05
300
300
20
15.333333
14.666667
-1.00027
1.05927
0.455952
0.456358
2.812902
4.467368
2.148487
-1.00027
1.05927
0.21522
0.208263
0.89435
1.122484
0.122525
0.085518
-1.068472
7,647
train
H1
H05
300
300
20
20
21.666667
1.95367
-1.979815
-1.551293
-1.554176
3.587211
7.477488
4.210559
1.95367
1.979815
0.044505
2.415463
3.085132
3.924338
0.407973
0.388123
2.009307
7,647
train
H0
H05
500
500
20
24.4
16.2
-2.241115
2.12299
2.942206
2.950014
10.712115
13.240978
10.107638
2.950014
2.942206
0.004143
8.702584
5.791419
4.509875
9.927599
9.820981
-2.149635
7,647
train
H1
H05
500
500
20
20
18.6
2.594869
-2.587295
-2.275599
-2.288147
6.679365
6.617461
6.804345
-2.288147
2.587295
0.008665
5.235618
6.333959
6.709797
1.728031
1.742012
2.625005
7,647
train
H0
H05
1,000
1,000
20
17.6
22.6
1.706166
-1.693827
-1.550285
-1.549339
3.157862
4.200881
2.91095
1.706166
1.693827
0.085797
2.40045
3.029787
2.868732
0.901277
0.922065
1.718
7,647
train
H1
H05
1,000
1,000
20
19.6
21.9
3.376504
-3.371719
-2.946282
-2.951844
11.604484
11.468746
11.539879
3.376504
3.371719
0.000625
8.713381
10.915625
11.381761
2.797083
2.838857
3.420573
7,647
train
H0
H05
20
20
30
20
45
1.793119
-1.787908
-1.770868
-1.773034
3.230847
5.374932
3.284198
1.793119
1.787908
0.064905
3.143648
3.19765
3.229242
1.497462
1.464501
1.845913
7,647
train
H1
H05
20
20
30
35
30
0.756608
-0.811343
-0.505366
-0.499532
1.14203
1.540424
1.070415
0.756608
0.811343
0.406528
0.249532
0.499268
0.656018
0.02717
0.015828
0.830019
7,647
train
H0
H05
30
30
30
13.333333
23.333333
0.328855
-0.438973
0.12574
0.124644
1.16337
1.085689
1.250952
0.328855
0.438973
0.535007
0.015536
0.047546
0.192393
0.564835
0.454329
0.450451
7,647
train
H1
H05
30
30
30
20
50
1.178202
-1.121088
-1.171031
-1.170734
1.439924
3.054978
1.407273
1.178202
1.171031
0.241943
1.370618
1.433616
1.251287
0.676198
0.724105
1.170143
7,647
train
H0
H05
50
50
30
28
18
-0.615053
0.648092
0.383417
0.379717
0.764152
1.591241
0.596228
-0.615053
0.648092
0.505729
0.144185
0.378042
0.419062
0.000089
0.01257
-0.665502
7,647
train
H1
H05
50
50
30
36
38
0.358989
-0.443167
-0.11247
-0.111515
0.673471
0.755758
0.631764
-0.111515
0.443167
0.651698
0.012435
0.113034
0.195891
0.180341
0.160121
0.451404
7,647
train
H0
H05
75
75
30
29.333333
25.333333
0.180894
-0.07105
-0.641216
-0.646958
2.138995
2.442951
2.003829
-0.646958
0.641216
0.367176
0.418555
0.079767
0.005043
1.343687
1.300249
0.066924
7,647
train
H1
H05
75
75
30
34.666667
38.666667
1.525019
-1.475567
-1.528099
-1.540255
2.436311
3.259844
2.409572
-1.540255
1.528099
0.134639
2.372385
2.460099
2.184696
1.277566
1.527965
1.496057
7,647
train
H0
H05
100
100
30
27
31
0.428724
-0.400835
-0.41689
-0.415876
0.180632
0.176138
0.185029
-0.415876
0.41689
0.681959
0.172953
0.167552
0.160518
0.057006
0.069392
0.409791
7,647
train
H1
H05
100
100
30
39
36
1.294262
-1.327775
-0.998008
-1.001431
2.238596
2.32611
2.176659
-1.001431
1.327775
0.170012
1.002864
1.544258
1.7704
0.051381
0.088948
1.372164
7,647
train
H0
H05
150
150
30
33.333333
34
0.838212
-0.706138
-1.083425
-1.089677
1.524115
1.883749
1.523457
-1.089677
1.083425
0.466859
1.187397
0.708774
0.498443
1.481063
1.667071
0.72222
7,647
train
H1
H05
150
150
30
30
28
1.671932
-1.626993
-1.774905
-1.796409
3.232154
3.539736
3.227619
1.671932
1.774905
0.095836
3.227086
2.928774
2.657771
2.215064
2.119288
1.665386
7,647
train
H0
H05
200
200
30
26.5
34
-0.225018
0.21859
0.265616
0.266751
0.075012
0.092057
0.076577
-0.225018
0.265616
0.824873
0.071156
0.061364
0.047803
0.100946
0.105055
-0.221282
7,647
train
H1
H05
200
200
30
30.5
30
2.422448
-2.484331
-2.061001
-2.080485
5.970257
7.235444
6.264884
2.422448
2.484331
0.010959
4.328417
5.456338
6.212212
1.093467
1.11105
2.543993
7,647
train
H0
H05
300
300
30
28
27
0.536238
-0.64451
0.004205
0.004195
2.184336
2.224367
2.080005
0.536238
0.64451
0.353454
0.000018
0.181878
0.415385
0.632335
0.553421
0.65545
7,647
train
H1
H05
300
300
30
28.666667
29.333333
1.585566
-1.435668
-1.81135
-1.822355
3.325433
8.692023
3.420547
-1.822355
1.81135
0.033679
3.320979
3.003716
2.064115
2.890473
3.141725
1.466136
7,647
train
H0
H05
500
500
30
34.2
28.8
-1.033967
0.909175
1.354259
1.353472
2.048288
6.588699
2.304644
1.353472
1.354259
0.086229
1.831886
1.480356
0.826418
2.320785
2.378066
-0.930696
7,647
train
H1
H05
500
500
30
27.4
29.4
2.352197
-2.392839
-1.985809
-1.989013
5.997154
6.095654
5.878991
2.352197
2.392839
0.014645
3.956173
5.364367
5.730821
0.948673
0.959953
2.441034
7,647
train
H0
H05
1,000
1,000
30
30.3
31.4
0.411933
-0.442476
-0.245777
-0.245947
0.413078
0.830985
0.333159
0.411933
0.442476
0.65124
0.06049
0.171216
0.195761
0.007834
0.00679
0.45204
7,647
train
H1
H05
1,000
1,000
30
29.5
30.6
3.899694
-3.940195
-3.405215
-3.422668
15.512151
15.616664
15.679194
3.899694
3.940195
0.000057
11.714657
14.64922
15.560618
3.568122
3.633098
4.024259
7,647
train
H0
H05
20
20
40
45
35
-0.474818
0.721856
0.027375
0.027528
2.988743
3.043299
2.941162
0.027528
0.721856
0.229792
0.000758
0.208348
0.517924
0.731666
0.615666
-0.750833
7,647
train
H1
H05
20
20
40
35
50
2.332148
-2.433157
-2.076278
-2.193298
5.968471
6.166932
5.933098
2.332148
2.433157
0.010174
4.810557
5.72574
6.067961
1.579493
1.709712
2.569861
7,647
train
H0
H05
30
30
40
43.333333
36.666667
-0.280411
0.251422
0.404451
0.401676
0.264572
1.591658
0.307932
0.401676
0.404451
0.661283
0.161343
0.13052
0.062963
0.452229
0.505464
-0.268009
7,647
train
H1
H05
30
30
40
40
46.666667
1.055615
-0.942463
-1.171061
-1.178859
1.505626
2.006345
1.485215
-1.178859
1.171061
0.317537
1.38971
1.036447
0.890496
1.016091
0.901494
0.999532
7,647
train
H0
H05
50
50
40
44
40
0.100416
-0.019962
-0.197722
-0.198892
0.198477
1.228869
0.149105
-0.198892
0.197722
0.746089
0.039558
0.001356
0.000398
0.073055
0.059529
0.018209
7,647
train
H1
H05
50
50
40
40
40
0.793075
-0.735801
-0.891704
-0.897633
0.865329
0.87269
0.863632
-0.897633
0.891704
0.442056
0.805746
0.649918
0.540685
0.591331
0.554874
0.768726
7,647
train
H0
H05
75
75
40
44
44
0.050267
0.039657
-0.25221
-0.251039
0.621132
1.581165
0.535246
-0.251039
0.25221
0.663668
0.06302
0.001243
0.00157
0.254009
0.212369
-0.036406
7,647
train
H1
H05
75
75
40
38.666667
36
1.615242
-1.692334
-1.250387
-1.259545
3.278119
3.262171
3.27858
1.615242
1.692334
0.079219
1.586454
2.490342
2.88824
0.098196
0.13156
1.755234
7,647
train
H0
H05
100
100
40
37
37
-0.201512
0.239863
0.004653
0.004647
0.282318
6.884675
0.479577
-0.201512
0.239863
0.075666
0.000022
0.003254
0.057502
0.098933
0.160037
-0.243934
7,647
train
H1
H05
100
100
40
36
42
1.033489
-0.987158
-1.084751
-1.096948
1.257734
11.088766
1.20606
-1.096948
1.084751
0.011255
1.203296
0.887346
0.975766
0.862614
0.782356
0.997594
7,647
train
H0
H05
150
150
40
39.333333
41.333333
0.475538
-0.311528
-0.766174
-0.769308
1.583193
2.406701
1.461238
-0.769308
0.766174
0.481611
0.591835
0.211151
0.09696
1.200034
1.167088
0.319832
7,647
train
H1
H05
150
150
40
40.666667
42.666667
1.183607
-1.325371
-0.901621
-0.903453
2.149855
2.246132
2.11421
1.183607
1.325371
0.175047
0.816227
1.42365
1.757667
0.018277
0.021792
1.356163
7,647
train
H0
H05
200
200
40
39
37.5
0.471039
-0.590583
-0.197771
-0.197464
0.709087
2.064632
0.865415
-0.197464
0.590583
0.545075
0.038992
0.161123
0.348654
0.135993
0.138608
0.605157
7,647
train
H1
H05
200
200
40
41.5
39.5
0.563392
-0.45555
-0.711662
-0.715408
0.596389
3.508177
0.680327
-0.715408
0.711662
0.319703
0.511809
0.406618
0.207687
0.618096
0.65079
0.466878
7,647
train
H0
H05
300
300
40
39.333333
40
0.482131
-0.65073
-0.069115
-0.06899
1.87798
1.980646
1.847319
0.482131
0.65073
0.397063
0.00476
0.203632
0.423286
0.471712
0.465362
0.669423
7,647
train
H1
H05
300
300
40
41.666667
42.666667
3.333155
-3.440286
-2.953647
-3.001751
11.250942
16.510018
11.78444
-3.001751
3.440286
0.000348
9.010511
10.544079
11.936637
2.740891
2.687565
3.576551
7,647
train
H0
H05
500
500
40
40.6
41.6
0.010711
0.148396
-0.386892
-0.3872
1.851635
2.302406
1.707773
-0.3872
0.386892
0.425757
0.149924
0.000217
0.022015
0.965045
0.964223
-0.152777
7,647
train
H1
H05
500
500
40
38.8
33.2
1.484492
-1.501033
-1.318621
-1.331331
2.178447
2.663074
2.278178
-1.331331
1.501033
0.122289
1.772443
2.035346
2.257309
0.511843
0.507357
1.545235
7,647
train
H0
H05
1,000
1,000
40
40.8
41.7
0.502649
-0.558194
-0.285016
-0.284878
0.5465
1.342663
0.674351
-0.284878
0.558194
0.566314
0.081155
0.173445
0.311568
0.04081
0.043554
0.573488
7,647
train
H1
H05
1,000
1,000
40
39.3
40.1
3.8457
-4.004072
-3.218915
-3.236919
16.198445
16.65519
16.62836
3.8457
4.004072
0.000035
10.477642
14.164777
16.07283
2.00519
2.036023
4.139326
7,647
train
H0
H05
20
20
50
60
55
-1.010276
1.185449
0.879575
0.876273
1.343116
3.423695
1.40213
0.876273
1.185449
0.206148
0.767854
1.051994
1.411191
0.183239
0.109919
-1.264229
7,647
train
H1
H05
20
20
50
65
40
-0.071679
0.034802
0.093279
0.097517
0.024962
0.151094
0.022769
0.097517
0.093279
0.957062
0.00951
0.003038
0.001221
0.19166
0.188796
-0.05384
7,647
train
H0
H05
30
30
50
40
53.333333
1.121678
-1.295614
-0.772213
-0.76709
2.961167
3.41582
2.881557
1.121678
1.295614
0.186755
0.588428
1.24095
1.674107
0.029036
0.016509
1.32024
7,647
train
H1
H05
30
30
50
46.666667
43.333333
-0.094917
0.090614
-0.041227
-0.040257
0.224838
0.794929
0.159967
-0.040257
0.090614
0.85068
0.001621
0.006032
0.008181
0.011247
0.000093
-0.084915
7,647
train
H0
H05
50
50
50
62
60
0.181461
-0.053187
-0.265156
-0.265349
0.314019
0.425724
0.308902
-0.265349
0.265156
0.856886
0.07041
0.016706
0.002828
0.107923
0.091707
0.054251
7,647
train
H1
H05
50
50
50
48
50
1.622548
-1.68708
-1.404873
-1.446079
3.192008
3.220578
3.188509
1.622548
1.68708
0.077791
2.091145
2.577348
2.868572
0.374408
0.375832
1.763652
7,647
train
H0
H05
75
75
50
40
46.666667
1.397996
-1.318767
-1.412681
-1.418747
2.013035
6.629705
2.030348
-1.418747
1.412681
0.084685
2.012842
1.725963
1.741644
1.166584
1.023668
1.361909
7,647
train
H1
H05
75
75
50
52
53.333333
0.048545
0.268071
-0.461053
-0.463104
3.758118
4.077786
3.661311
-0.463104
0.461053
0.160308
0.214465
0.000143
0.071797
1.906897
1.687107
-0.268328
7,647
train
H0
H05
100
100
50
48
53
1.114543
-1.169849
-1.074619
-1.074733
1.291718
3.676777
1.245243
1.114543
1.169849
0.224633
1.155051
1.512182
1.370458
0.486751
0.54724
1.214301
7,647
train
H1
H05
100
100
50
45
48
2.143812
-2.23695
-1.877563
-1.900126
4.981928
4.967547
5.061537
-1.900126
2.23695
0.018931
3.610479
4.51082
5.048915
0.823179
0.986461
2.346895
7,647
train
H0
H05
150
150
50
52
48.666667
-0.078821
0.238756
-0.16373
-0.16397
0.988178
1.250762
0.920477
-0.16397
0.238756
0.631133
0.026886
0.018525
0.05698
0.386555
0.368902
-0.247099
7,647
train
H1
H05
150
150
50
44
46.666667
2.005201
-2.053718
-1.781796
-1.801819
4.362732
4.447645
4.39298
2.005201
2.053718
0.033355
3.246552
3.915181
4.234413
0.881681
0.898585
2.127783
7,647
train
H0
H05
200
200
50
48.5
53
0.231515
-0.004199
-0.569665
-0.568347
2.187489
3.63514
2.002674
-0.568347
0.569665
0.303653
0.323018
0.022751
0.000018
1.375132
1.296372
0.005862
7,647
train
H1
H05
200
200
50
45.5
51
3.331815
-3.616946
-2.744986
-2.777752
13.744967
17.30011
14.387704
-2.777752
3.616946
0.000163
7.715907
10.6911
13.180296
1.021573
1.06996
3.770615
7,647
train
H0
H05
300
300
50
52
51.666667
-0.254688
0.150316
0.345536
0.345361
0.229823
0.585936
0.246888
0.345361
0.345536
0.877751
0.119274
0.063856
0.022585
0.283569
0.304524
-0.153821
7,647
train
H1
H05
300
300
50
47.666667
50
2.361026
-2.208125
-2.565903
-2.617736
7.436148
11.143795
7.29579
-2.617736
2.565903
0.010973
6.852543
5.541875
4.890552
6.591911
6.47853
2.270368
7,647
train
H0
H05
500
500
50
49.6
49.8
0.999168
-1.058198
-0.878583
-0.8793
1.134486
1.149429
1.12805
-0.8793
1.058198
0.273078
0.773169
1.029973
1.120064
0.14707
0.145994
1.096001
7,647
train
H1
H05
500
500
50
48.4
50
4.012055
-3.985592
-3.787704
-3.870465
16.478846
16.753668
16.382747
4.012055
3.985592
0.000036
14.980496
16.471363
15.997819
6.709807
6.918283
4.130518
7,647
train
H0
H05
1,000
1,000
50
50.4
49.1
-1.180365
1.324725
0.903465
0.903584
2.34222
2.393722
2.304123
-1.180365
1.324725
0.170855
0.816464
1.487358
1.754956
0.006729
0.006389
-1.369461
7,647
train
H1
H05
1,000
1,000
50
46
47.2
4.453969
-4.447897
-4.225226
-4.28168
20.054859
20.071716
20.037672
4.453969
4.447897
0.000004
18.332785
20.086019
19.873019
8.392391
8.482428
4.600774
7,647
train
H0
H06
20
20
0
0
0
-0.595102
0.595102
0.437525
0.429425
0.542862
1.627135
0.393617
0.429425
0.595102
0.546719
0.184406
0.339585
0.35168
0.03754
0.109222
-0.602683
7,647
train
H1
H06
20
20
0
0
0
-0.13525
0.13525
-0.340743
-0.337108
1.224901
1.77109
1.046377
-0.337108
0.340743
0.592628
0.113642
0.000803
0.018169
0.526878
0.413277
-0.136973
7,647
train
H0
H06
30
30
0
0
0
-0.517455
0.517455
0.310207
0.310801
0.916677
6.159296
0.371354
0.310801
0.517455
0.104112
0.096597
0.32158
0.267365
0.000783
0.019144
-0.521822
7,647
train
H1
H06
30
30
0
0
0
-0.103491
0.103491
0.353949
0.356468
0.127948
10.575326
0.348726
0.356468
0.353949
0.014259
0.127069
0.126617
0.010705
0.252271
0.485363
-0.104364
7,647
train
H0
H06
50
50
0
0
0
-0.117195
0.117195
0.015917
0.015721
0.016832
0.837876
0.045429
-0.117195
0.117195
0.840388
0.000247
0.005164
0.013695
0.002415
0.011031
-0.117785
7,647
train
H1
H06
50
50
0
0
0
1.792393
-1.792393
-0.834958
-0.828081
4.804891
4.853756
5.534735
1.792393
1.792393
0.062827
0.685718
2.023391
3.237819
0.100857
0.069048
1.801423
7,647
train
H0
H06
75
75
0
0
0
1.031771
-1.031771
-1.15866
-1.159402
1.52366
3.95869
1.34578
-1.159402
1.15866
0.26596
1.344213
1.51543
1.066472
0.970011
1.186372
1.028303
7,647
train
H1
H06
75
75
0
0
0
0.614552
-0.614552
-0.473879
-0.471489
0.413206
0.546358
0.394991
-0.471489
0.614552
0.540216
0.222302
0.341712
0.377034
0.030341
0.023688
0.612486
7,647
train
H0
H06
100
100
0
0
0
0.131943
-0.131943
-0.402802
-0.399807
0.403708
0.468978
0.353208
0.131943
0.402802
0.838112
0.159846
0.049018
0.017373
0.273689
0.243942
0.132274
7,647
train
H1
H06
100
100
0
0
0
1.426939
-1.426939
-1.680764
-1.699804
2.892908
4.728639
2.911973
1.426939
1.680764
0.152568
2.889333
2.467876
2.037283
2.330465
2.602339
1.43052
7,647
train
H0
H06
150
150
0
0
0
0.350084
-0.350084
-0.070892
-0.070509
0.130321
1.554332
0.346029
0.350084
0.350084
0.669788
0.004972
0.037207
0.122411
0.069475
0.097202
0.350669
7,647
train
H1
H06
150
150
0
0
0
3.422301
-3.422301
-2.802388
-2.840132
12.664353
12.933303
11.940581
3.422301
3.422301
0.000608
8.066352
11.395347
11.831888
2.534075
2.804401
3.428019
7,647
train
H0
H06
200
200
0
0
0
-1.738539
1.738539
0.925701
0.925367
4.868984
4.982333
4.442026
-1.738539
1.738539
0.081733
0.856304
2.31798
3.028069
0.042965
0.02301
-1.740717
7,647
train
H1
H06
200
200
0
0
0
1.354504
-1.354504
-0.97778
-0.976999
1.290396
6.405807
2.006048
1.354504
1.354504
0.093452
0.954526
1.267834
1.835824
0.10688
0.076658
1.3562
7,647
train
H0
H06
300
300
0
0
0
-0.596772
0.596772
0.170967
0.170547
0.700021
0.562723
0.846852
-0.596772
0.596772
0.550327
0.029086
0.180837
0.35603
0.084598
0.067169
-0.59727
7,647
train
H1
H06
300
300
0
0
0
4.217443
-4.217443
-3.460577
-3.49888
15.559826
20.207668
18.101765
4.217443
4.217443
0.000024
12.242159
15.179578
17.93049
3.640836
3.574291
4.220962
7,647
train
H0
H06
500
500
0
0
0
-1.28322
1.28322
1.899853
1.904904
4.148597
4.062148
4.203164
1.904904
1.899853
0.122263
3.628659
2.494601
1.647145
4.178277
4.162971
-1.283862
7,647
train
H1
H06
500
500
0
0
0
2.698047
-2.698047
-2.3972
-2.408003
6.110521
9.215243
7.306345
2.698047
2.698047
0.006947
5.798478
6.027629
7.293658
2.238261
2.180263
2.699397
7,647
train
H0
H06
1,000
1,000
0
0
0
0.104622
-0.104622
0.219452
0.219266
0.463716
0.627015
0.397514
0.104622
0.219452
0.819749
0.048078
0.00017
0.010944
0.246815
0.259911
0.104648
7,647
train
H1
H06
1,000
1,000
0
0
0
6.699671
-6.699671
-4.044044
-4.061131
50.592423
47.839373
57.804472
6.699671
6.699671
0
16.492785
33.02637
45.198171
0.331493
0.368683
6.701346