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
7,649
train
H0
H06
20
20
20
10
15
0.754333
-0.806805
-0.441889
-0.436338
1.130052
1.625324
0.988406
0.754333
0.806805
0.4118
0.190391
0.501375
0.648231
0.022634
0.002487
0.82073
7,649
train
H1
H06
20
20
20
15
15
2.191769
-2.208729
-1.84202
-2.002924
5.331789
6.459733
5.078125
-2.002924
2.208729
0.021682
4.011705
4.910954
5.061117
1.449729
1.71695
2.295885
7,649
train
H0
H06
30
30
20
6.666667
16.666667
-0.733217
0.773745
-0.142024
-0.141718
4.466082
4.846314
4.063813
-0.141718
0.773745
0.131085
0.020084
0.215803
0.599377
1.489928
1.244752
-0.780488
7,649
train
H1
H06
30
30
20
23.333333
10
-0.864886
0.897653
0.716365
0.703635
0.658961
2.113376
0.781582
-0.864886
0.897653
0.356564
0.495102
0.665287
0.803151
0.140144
0.098264
-0.921933
7,649
train
H0
H06
50
50
20
24
16
0.484055
-0.551677
-0.175244
-0.174283
0.794447
1.02586
0.704267
0.484055
0.551677
0.578746
0.030374
0.188921
0.30374
0.110353
0.087141
0.555217
7,649
train
H1
H06
50
50
20
22
18
0.475608
-0.502285
-0.1088
-0.10757
0.905123
0.848391
0.910397
0.475608
0.502285
0.615768
0.011571
0.121383
0.25165
0.204741
0.154452
0.501858
7,649
train
H0
H06
75
75
20
16
17.333333
0.449863
-0.464192
-0.258563
-0.257495
0.175539
3.438465
0.351332
0.449863
0.464192
0.328831
0.066304
0.098467
0.215327
0.010499
0.019058
0.46832
7,649
train
H1
H06
75
75
20
28
29.333333
1.364739
-1.376063
-1.208373
-1.21208
1.815471
2.591821
1.893096
1.364739
1.376063
0.159008
1.469138
1.766698
1.893984
0.441767
0.402663
1.408416
7,649
train
H0
H06
100
100
20
17
21
0.865365
-0.94293
-0.346772
-0.345699
1.481543
3.923971
1.949632
0.865365
0.94293
0.269792
0.119508
0.467383
0.889186
0.173405
0.200149
0.954024
7,649
train
H1
H06
100
100
20
24
15
1.850684
-1.918278
-1.170811
-1.186171
4.481356
8.967347
5.401442
1.850684
1.918278
0.029728
1.407001
2.48921
3.707541
0.001813
0.000233
1.965131
7,649
train
H0
H06
150
150
20
24.666667
20.666667
-1.521454
1.500155
1.43319
1.434463
2.392763
2.853479
2.323252
-1.521454
1.500155
0.126485
2.057684
2.343281
2.251616
0.91411
1.028949
-1.528111
7,649
train
H1
H06
150
150
20
20.666667
22.666667
1.224335
-1.169343
-1.271744
-1.271934
1.621259
1.631107
1.637214
-1.271934
1.271744
0.235069
1.617817
1.403314
1.368653
0.964646
1.056589
1.187402
7,649
train
H0
H06
200
200
20
28.5
20
-0.145692
0.04184
0.6602
0.658868
1.887952
2.140896
1.949659
0.658868
0.6602
0.377257
0.434107
0.085829
0.00175
1.521945
1.528577
-0.044232
7,649
train
H1
H06
200
200
20
16
24
2.787135
-2.70115
-3.006512
-3.040751
9.297659
11.068713
9.246977
-3.040751
3.006512
0.006213
9.246169
7.946459
7.318693
6.766015
6.667274
2.736336
7,649
train
H0
H06
300
300
20
18.333333
14.666667
-1.652222
1.639692
1.625993
1.626579
2.813699
2.815247
2.817159
-1.652222
1.639692
0.097604
2.645761
2.803973
2.690971
1.444923
1.48557
-1.65658
7,649
train
H1
H06
300
300
20
20.333333
15.333333
1.962815
-2.034551
-1.187103
-1.190049
4.973092
5.100157
5.890863
1.962815
2.034551
0.03864
1.416217
2.794364
4.150655
0.003642
0.00196
2.068005
7,649
train
H0
H06
500
500
20
22.2
21.8
-0.30059
0.428613
-0.377801
-0.377587
2.770623
3.663272
2.848545
-0.30059
0.428613
0.240684
0.142572
0.021343
0.183659
1.416963
1.446217
-0.433459
7,649
train
H1
H06
500
500
20
21.4
21.6
3.904439
-4.049196
-2.516429
-2.522872
20.221689
21.045892
22.335918
3.904439
4.049196
0.000014
6.364884
12.016629
16.490125
0.037757
0.044274
4.117628
7,649
train
H0
H06
1,000
1,000
20
19.9
20.6
0.750105
-0.751255
-0.649644
-0.649336
0.564923
0.623534
0.571025
-0.649336
0.751255
0.446338
0.421637
0.536475
0.564319
0.115039
0.111133
0.761534
7,649
train
H1
H06
1,000
1,000
20
21.7
18.8
3.641565
-3.79985
-1.984329
-1.987918
23.039666
21.901115
24.43927
3.641565
3.79985
0.000005
3.95182
9.885747
14.472183
0.29764
0.280127
3.854852
7,649
train
H0
H06
20
20
30
40
15
-0.411306
0.310477
0.831647
0.811223
1.551034
1.497314
1.556912
-0.411306
0.831647
0.459114
0.658083
0.271946
0.095599
1.899934
1.821176
-0.345738
7,649
train
H1
H06
20
20
30
35
35
1.387791
-1.417712
-1.169837
-1.201753
2.264925
2.243685
2.258142
1.387791
1.417712
0.143682
1.44421
1.836241
2.028546
0.215537
0.249736
1.462215
7,649
train
H0
H06
30
30
30
30
33.333333
0.376419
-0.350419
-0.524957
-0.521383
0.361997
0.986838
0.410472
-0.521383
0.524957
0.718513
0.27184
0.213894
0.122454
0.25611
0.291684
0.360447
7,649
train
H1
H06
30
30
30
40
33.333333
-0.557898
0.578231
0.558874
0.555435
0.330646
1.32825
0.315897
-0.557898
0.578231
0.546313
0.308508
0.385252
0.333265
0.295953
0.345753
-0.603294
7,649
train
H0
H06
50
50
30
34
22
-0.625272
0.475747
1.086724
1.088525
2.663523
3.154485
2.498536
1.088525
1.086724
0.286715
1.184886
0.480973
0.225599
2.599577
2.482768
-0.494637
7,649
train
H1
H06
50
50
30
20
22
2.807708
-2.893447
-1.961289
-1.996006
10.347889
11.167301
10.883216
2.807708
2.893447
0.003286
3.98404
6.650861
8.554258
0.244974
0.285247
2.939673
7,649
train
H0
H06
75
75
30
30.666667
32
-0.807069
0.886814
0.452911
0.450883
1.507451
1.579398
1.441834
0.450883
0.886814
0.367422
0.203295
0.562393
0.785982
0.028173
0.018263
-0.901313
7,649
train
H1
H06
75
75
30
25.333333
40
3.00249
-3.015068
-2.758253
-2.803585
9.150951
9.136979
9.118069
-2.803585
3.015068
0.002003
7.860087
9.057296
9.151398
3.330609
3.52715
3.089752
7,649
train
H0
H06
100
100
30
35
27
-0.923324
0.866533
1.148866
1.146372
1.519043
1.844629
1.565303
-0.923324
1.148866
0.375809
1.31417
1.039962
0.750523
1.750126
1.766699
-0.885644
7,649
train
H1
H06
100
100
30
36
31
1.5411
-1.562161
-1.417996
-1.435782
2.214917
4.344315
2.399365
1.5411
1.562161
0.104615
2.061471
2.134807
2.451596
0.699411
0.627589
1.622879
7,649
train
H0
H06
150
150
30
29.333333
31.333333
0.856817
-0.878804
-0.790283
-0.78902
0.692805
1.53041
0.737069
0.856817
0.878804
0.369438
0.622553
0.69272
0.772565
0.208346
0.177839
0.897527
7,649
train
H1
H06
150
150
30
30.666667
38
3.64248
-3.637468
-3.21423
-3.284164
13.210025
20.408975
13.945089
-3.284164
3.637468
0.00014
10.785731
12.020128
13.396176
3.659449
3.636313
3.72748
7,649
train
H0
H06
200
200
30
24.5
38.5
2.939574
-2.908196
-2.977376
-2.984884
8.958892
12.867908
9.067414
2.939574
2.977376
0.00301
8.90953
8.615987
8.470152
5.384301
5.146917
2.96673
7,649
train
H1
H06
200
200
30
28.5
32
2.590287
-2.647591
-2.066355
-2.074986
8.154167
8.800902
7.788144
2.590287
2.647591
0.006889
4.305567
6.450576
7.036551
0.686519
0.82923
2.70216
7,649
train
H0
H06
300
300
30
27.666667
29
0.262742
-0.296765
-0.298382
-0.297934
0.107165
0.441124
0.090412
-0.297934
0.298382
0.762393
0.088765
0.068005
0.088027
0.066121
0.062003
0.30234
7,649
train
H1
H06
300
300
30
26.333333
28
4.476457
-4.617575
-3.430748
-3.475912
23.151555
22.852518
24.018097
4.476457
4.617575
0.000002
12.081965
17.980917
21.54003
1.701068
1.833153
4.735002
7,649
train
H0
H06
500
500
30
30.4
31.4
0.069561
-0.113426
0.052068
0.052025
0.033286
2.912791
0.118577
0.052025
0.113426
0.405267
0.002707
0.000779
0.012862
0.06025
0.069872
0.115347
7,649
train
H1
H06
500
500
30
31.6
32.8
4.291643
-4.567037
-3.027108
-3.04541
24.822082
30.069464
26.980324
4.291643
4.567037
0.000001
9.274519
15.813422
20.990588
0.273837
0.285022
4.68678
7,649
train
H0
H06
1,000
1,000
30
28.2
28.3
0.106407
-0.032652
-0.231882
-0.231791
0.06086
1.789908
0.142261
-0.231791
0.231882
0.617134
0.053727
0.043757
0.001066
0.121827
0.115784
0.033297
7,649
train
H1
H06
1,000
1,000
30
28.5
30.8
5.905089
-6.026895
-4.860755
-4.909908
36.301526
40.04986
38.205147
5.905089
6.026895
0
24.107194
31.728329
36.485937
5.326315
5.365433
6.158234
7,649
train
H0
H06
20
20
40
20
25
0.580785
-0.56479
-0.450843
-0.443549
0.395781
0.57501
0.40795
0.580785
0.56479
0.567146
0.196736
0.262889
0.318534
0.003331
0.000002
0.572259
7,649
train
H1
H06
20
20
40
50
50
0.591499
-0.553626
-0.554852
-0.551089
0.373834
1.52086
0.350324
0.591499
0.554852
0.53941
0.303699
0.353184
0.30537
0.020913
0.047246
0.613705
7,649
train
H0
H06
30
30
40
26.666667
36.666667
0.296344
-0.444849
-0.116779
-0.117045
0.601711
5.502593
0.395418
-0.117045
0.444849
0.138484
0.0137
0.163595
0.197292
0.077559
0.02465
0.451696
7,649
train
H1
H06
30
30
40
40
36.666667
1.232437
-1.376175
-0.84209
-0.850953
2.962517
3.92846
3.09528
-0.850953
1.376175
0.153747
0.724121
1.296757
1.916625
0.014597
0.0128
1.426419
7,649
train
H0
H06
50
50
40
52
40
-1.285191
1.234972
1.30362
1.304887
1.717228
3.385969
1.708083
-1.285191
1.30362
0.202476
1.702729
1.690607
1.52538
1.338034
1.351515
-1.274529
7,649
train
H1
H06
50
50
40
30
36
3.08205
-3.085658
-2.892499
-3.100426
10.044933
10.089263
10.026394
-3.100426
3.085658
0.001406
9.612639
10.1183
9.838744
5.079823
5.19012
3.193407
7,649
train
H0
H06
75
75
40
45.333333
32
-1.746497
1.727876
1.708569
1.705423
3.000231
5.002449
3.073116
1.705423
1.727876
0.077946
2.908469
2.883994
2.989655
1.59806
1.496941
-1.762728
7,649
train
H1
H06
75
75
40
45.333333
45.333333
1.597895
-1.956414
-0.83297
-0.840965
10.375511
11.469281
10.705148
-0.840965
1.956414
0.004736
0.707222
2.245535
3.835348
0.627331
0.58371
2.01582
7,649
train
H0
H06
100
100
40
40
32
-0.320766
0.267542
0.449021
0.447485
0.25837
1.829311
0.311217
0.447485
0.449021
0.608577
0.200243
0.160784
0.071528
0.368124
0.398568
-0.281253
7,649
train
H1
H06
100
100
40
39
34
-0.300924
0.405443
-0.037499
-0.037731
1.59231
7.695971
1.153064
-0.300924
0.405443
0.052731
0.001424
0.109687
0.164262
0.399828
0.326266
-0.442758
7,649
train
H0
H06
150
150
40
36.666667
39.333333
-0.256089
0.504259
-0.134998
-0.134423
0.936064
9.30127
1.475677
-0.134423
0.504259
0.025542
0.01807
0.021748
0.254199
0.575074
0.744332
-0.514766
7,649
train
H1
H06
150
150
40
40.666667
39.333333
1.570711
-1.830511
-0.850548
-0.853759
6.337509
11.243207
7.181016
-0.853759
1.830511
0.010481
0.728904
1.885128
3.357611
0.346928
0.349605
1.892269
7,649
train
H0
H06
200
200
40
48
40.5
-1.58934
1.402843
1.880048
1.888194
4.214391
5.549476
4.323432
-1.58934
1.880048
0.115127
3.565278
2.763916
1.968593
4.548297
4.615788
-1.445805
7,649
train
H1
H06
200
200
40
40
32.5
3.116542
-3.280089
-2.473375
-2.567438
11.377693
14.476095
12.084354
3.116542
3.280089
0.000628
6.591737
8.950713
10.911629
0.950889
0.952252
3.419409
7,649
train
H0
H06
300
300
40
41.333333
36.666667
-0.691184
0.536845
1.001846
1.001622
1.93652
2.686819
1.83028
1.001622
1.001846
0.400461
1.003247
0.49177
0.288058
1.884574
1.865091
-0.551592
7,649
train
H1
H06
300
300
40
35
36.333333
2.731123
-2.836327
-2.179571
-2.196381
8.078959
14.506339
9.003955
2.731123
2.836327
0.002291
4.824091
6.41422
8.071633
0.652535
0.618907
2.91157
7,649
train
H0
H06
500
500
40
39.4
38.6
0.286782
-0.22499
-0.513068
-0.513459
0.985347
6.913292
0.705626
-0.513459
0.513068
0.074713
0.26364
0.054446
0.050615
0.60427
0.540406
0.228877
7,649
train
H1
H06
500
500
40
40.8
43.2
3.571142
-3.737733
-2.882978
-2.900425
15.469527
15.347403
15.768642
3.571142
3.737733
0.000105
8.412465
12.080901
14.022274
1.102086
1.1471
3.879751
7,649
train
H0
H06
1,000
1,000
40
40.9
39.7
-1.092063
0.903215
1.458856
1.459995
3.003795
3.245781
3.053882
1.459995
1.458856
0.217199
2.131586
1.288873
0.815846
3.148094
3.197055
-0.931694
7,649
train
H1
H06
1,000
1,000
40
40.1
37.5
4.000885
-4.350491
-2.770795
-2.79204
25.016859
26.526107
26.197795
4.000885
4.350491
0.000002
7.795487
14.379376
18.993454
0.021899
0.023274
4.507001
7,649
train
H0
H06
20
20
50
65
55
-0.26248
0.14533
0.351586
0.352391
0.320101
0.434639
0.327004
0.352391
0.351586
0.826956
0.124179
0.075478
0.034601
0.634689
0.652737
-0.218607
7,649
train
H1
H06
20
20
50
50
50
0.687349
-0.785808
-0.635035
-0.647421
0.504597
1.600587
0.48588
-0.647421
0.785808
0.400263
0.419153
0.558224
0.585852
0.08272
0.10903
0.841151
7,649
train
H0
H06
30
30
50
46.666667
46.666667
-0.194685
0.128202
0.360697
0.359387
0.591222
0.800109
0.611995
0.359387
0.360697
0.736388
0.129159
0.055306
0.01644
0.673306
0.670924
-0.144847
7,649
train
H1
H06
30
30
50
50
56.666667
1.575574
-1.609642
-1.4054
-1.456029
2.850283
6.952344
2.925153
-1.456029
1.609642
0.073432
2.12002
2.243607
2.606827
0.47897
0.40421
1.699098
7,649
train
H0
H06
50
50
50
50
42
-0.304495
0.290923
0.388723
0.38637
0.22547
0.467693
0.212491
0.38637
0.388723
0.758446
0.149282
0.100471
0.084409
0.333392
0.306365
-0.307522
7,649
train
H1
H06
50
50
50
52
52
1.873647
-2.294878
-1.22562
-1.24361
9.573478
11.285251
9.843566
1.873647
2.294878
0.007286
1.546565
3.516307
5.387435
0.105195
0.094114
2.414883
7,649
train
H0
H06
75
75
50
37.333333
50.666667
0.960365
-0.87556
-1.156631
-1.146838
1.514948
1.77872
1.566786
-1.146838
1.156631
0.365227
1.315237
1.120413
0.765166
1.316835
1.393561
0.90545
7,649
train
H1
H06
75
75
50
49.333333
46.666667
2.269777
-2.311545
-2.031586
-2.135771
5.591443
6.306216
5.656717
2.269777
2.311545
0.01461
4.561516
5.105931
5.4673
1.398448
1.412569
2.441899
7,649
train
H0
H06
100
100
50
42
52
0.665255
-0.51694
-0.87434
-0.873203
1.252193
1.42061
1.280284
-0.873203
0.87434
0.527218
0.762484
0.465792
0.266835
1.100096
1.077352
0.539599
7,649
train
H1
H06
100
100
50
56
58
2.124531
-2.419371
-1.685198
-1.708109
7.524137
9.773812
7.812526
2.124531
2.419371
0.011389
2.917636
4.549989
5.914793
0.042827
0.047666
2.530535
7,649
train
H0
H06
150
150
50
47.333333
54.666667
1.051457
-0.98733
-1.072881
-1.072056
1.156591
1.285041
1.152141
-1.072056
1.072881
0.305745
1.149304
1.179407
0.974796
0.635746
0.60642
1.024191
7,649
train
H1
H06
150
150
50
54
48
1.012327
-1.09408
-0.845309
-0.85868
1.187869
8.809192
1.354463
-0.85868
1.09408
0.031938
0.737331
0.856065
1.202706
0.06245
0.051417
1.147989
7,649
train
H0
H06
200
200
50
43.5
48
0.060438
0.095525
-0.304501
-0.303874
0.666486
1.395149
0.796623
-0.303874
0.304501
0.671453
0.09234
0.005745
0.009121
0.434374
0.466957
-0.097899
7,649
train
H1
H06
200
200
50
59
54.5
1.476169
-1.681895
-1.188705
-1.214148
3.01621
10.754422
3.358351
-1.214148
1.681895
0.013131
1.474156
2.029156
2.840552
0.032769
0.025575
1.779544
7,649
train
H0
H06
300
300
50
51.333333
52.333333
-0.596453
0.627259
0.540302
0.540923
0.363604
0.935435
0.382936
0.540923
0.627259
0.515646
0.292598
0.326374
0.393476
0.115141
0.112508
-0.650071
7,649
train
H1
H06
300
300
50
50.333333
45.333333
1.919096
-2.082939
-1.486845
-1.51857
5.171161
14.278455
5.747881
-1.51857
2.082939
0.00255
2.306054
3.140763
4.355627
0.091279
0.086635
2.182955
7,649
train
H0
H06
500
500
50
51.6
49
-0.133011
0.018682
0.256275
0.256119
0.158735
4.954561
0.271198
-0.133011
0.256275
0.175155
0.065597
0.049112
0.000349
0.24503
0.274531
-0.019795
7,649
train
H1
H06
500
500
50
49
49.8
3.15868
-3.252445
-2.78125
-2.821665
10.533534
22.919137
11.176966
-2.821665
3.252445
0.000042
7.961795
9.068584
10.61806
2.013747
1.974563
3.379196
7,649
train
H0
H06
1,000
1,000
50
49.6
50.6
1.088614
-1.100437
-1.00811
-1.007986
1.229027
1.241233
1.221987
-1.007986
1.100437
0.25505
1.016036
1.206344
1.210946
0.326375
0.303392
1.138168
7,649
train
H1
H06
1,000
1,000
50
48.5
50.9
5.935775
-6.330966
-4.969383
-5.042551
42.162219
51.505135
43.796537
5.935775
6.330966
0
25.427318
34.049799
40.336204
4.119599
4.129326
6.627283
7,649
train
H0
H07
20
20
0
0
0
0.757402
-0.757402
-0.802898
-0.788521
0.636624
0.836617
0.638667
-0.788521
0.802898
0.443051
0.621765
0.639842
0.572995
0.28615
0.269581
0.767051
7,649
train
H1
H07
20
20
0
0
0
0.486902
-0.486902
-0.416522
-0.405833
0.17377
1.394662
0.237517
0.486902
0.486902
0.621939
0.164701
0.168183
0.235166
0.014054
0.001186
0.493104
7,649
train
H0
H07
30
30
0
0
0
-0.857497
0.857497
0.202834
0.200218
1.210063
5.877517
2.096816
-0.857497
0.857497
0.117724
0.040087
0.269134
0.737598
0.295716
0.436753
-0.864733
7,649
train
H1
H07
30
30
0
0
0
0.340042
-0.340042
0.011734
0.011598
0.791577
2.181672
0.560404
0.011598
0.340042
0.535567
0.000135
0.057851
0.114869
0.212686
0.136732
0.342911
7,649
train
H0
H07
50
50
0
0
0
-0.806577
0.806577
0.738284
0.733306
0.576972
2.184629
0.652023
0.733306
0.806577
0.417572
0.537737
0.586706
0.649006
0.269803
0.21487
-0.81064
7,649
train
H1
H07
50
50
0
0
0
-0.427417
0.427417
-0.050521
-0.050485
1.491094
2.409774
0.983791
-0.427417
0.427417
0.491818
0.002549
0.114048
0.182871
0.339283
0.252897
-0.42957
7,649
train
H0
H07
75
75
0
0
0
-1.997764
1.997764
1.119267
1.115701
4.767299
7.43596
5.660559
-1.997764
1.997764
0.046476
1.244788
2.799952
4.016825
0.035795
0.05167
-1.991049
7,649
train
H1
H07
75
75
0
0
0
-1.21219
1.21219
0.449363
0.452688
4.444744
8.068771
3.160702
-1.21219
1.21219
0.044612
0.204926
1.101844
1.472931
0.31137
0.208141
-1.208115
7,649
train
H0
H07
100
100
0
0
0
1.035997
-1.035997
-0.40266
-0.400609
2.24714
2.26369
2.12445
1.035997
1.035997
0.298992
0.160488
0.697274
1.073097
0.134407
0.095261
1.038597
7,649
train
H1
H07
100
100
0
0
0
1.717702
-1.717702
-1.326813
-1.324532
2.487307
5.522505
3.087974
1.717702
1.717702
0.085067
1.754385
2.371061
2.958241
0.321685
0.274674
1.722013
7,649
train
H0
H07
150
150
0
0
0
-0.571049
0.571049
0.465544
0.46377
0.217091
2.381269
0.330328
-0.571049
0.571049
0.497131
0.215082
0.21641
0.325775
0.07038
0.046008
-0.572003
7,649
train
H1
H07
150
150
0
0
0
1.465559
-1.465559
-1.139202
-1.136126
1.969485
3.009258
2.228576
-1.136126
1.465559
0.142102
1.290783
1.836246
2.149935
0.25002
0.228871
1.468008
7,649
train
H0
H07
200
200
0
0
0
0.430743
-0.430743
-0.026498
-0.026418
0.532391
0.433041
0.682227
-0.026418
0.430743
0.666263
0.000698
0.059397
0.185437
0.172839
0.143836
0.431282
7,649
train
H1
H07
200
200
0
0
0
1.032744
-1.032744
-0.376581
-0.376741
2.963182
4.854598
2.211058
-0.376741
1.032744
0.182759
0.141934
0.764199
1.066215
0.16043
0.116976
1.034038
7,649
train
H0
H07
300
300
0
0
0
-2.015932
2.015932
1.146623
1.146528
5.79415
5.827927
5.564201
-2.015932
2.015932
0.043631
1.314526
3.158051
4.070167
0.008317
0.003385
-2.017614
7,649
train
H1
H07
300
300
0
0
0
0.342426
-0.342426
-0.618615
-0.617402
0.429487
0.441997
0.533359
-0.617402
0.618615
0.731815
0.381185
0.281306
0.117241
0.513172
0.48107
0.342712
7,649
train
H0
H07
500
500
0
0
0
0.457886
-0.457886
-0.035804
-0.035729
0.632737
0.607519
0.734851
0.457886
0.457886
0.64687
0.001277
0.090593
0.209615
0.166239
0.155972
0.458115
7,649
train
H1
H07
500
500
0
0
0
2.394104
-2.394104
-2.241894
-2.248258
6.510473
8.914859
5.852009
-2.248258
2.394104
0.016607
5.054666
6.221179
5.739164
2.300722
2.463215
2.395301
7,649
train
H0
H07
1,000
1,000
0
0
0
-0.414228
0.414228
1.083482
1.084645
2.657508
3.979339
2.308908
1.084645
1.083482
0.263704
1.176454
0.42178
0.171559
2.212605
2.1452
-0.414332
7,649
train
H1
H07
1,000
1,000
0
0
0
2.675872
-2.675872
-2.359635
-2.361963
6.474699
8.670109
7.172345
2.675872
2.675872
0.007439
5.578868
6.554788
7.16605
2.026225
1.982984
2.676542