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
7,648
train
H0
H05
20
20
0
0
0
-0.622152
0.622152
0.57461
0.561842
0.358694
0.884935
0.386725
-0.622152
0.622152
0.528644
0.315666
0.367035
0.385779
0.185987
0.157858
-0.630078
7,648
train
H1
H05
20
20
0
0
0
-0.784453
0.784453
0.684777
0.677053
0.793445
2.534079
0.612979
0.677053
0.784453
0.426936
0.458401
0.66383
0.611636
0.198278
0.384382
-0.794446
7,648
train
H0
H05
30
30
0
0
0
-0.576593
0.576593
0.595294
0.584795
0.345944
0.79659
0.359322
-0.576593
0.595294
0.560932
0.341985
0.343185
0.331824
0.256607
0.221536
-0.581458
7,648
train
H1
H05
30
30
0
0
0
0.147844
-0.147844
-0.331525
-0.326002
0.303718
0.700709
0.19173
0.147844
0.331525
0.873037
0.106277
0.026777
0.02177
0.132568
0.090206
0.149092
7,648
train
H0
H05
50
50
0
0
0
1.406339
-1.406339
-1.944743
-2.008874
5.334083
7.090854
4.911173
1.406339
1.944743
0.069058
4.035574
2.671026
1.980441
4.568044
4.399595
1.413424
7,648
train
H1
H05
50
50
0
0
0
0.696276
-0.696276
0.227717
0.228324
3.98815
4.040949
3.739883
0.696276
0.696276
0.154133
0.052132
0.135991
0.483993
1.313156
1.188978
0.699784
7,648
train
H0
H05
75
75
0
0
0
0.592
-0.592
-1.301303
-1.316721
3.758297
4.851516
3.288235
0.592
1.301303
0.182998
1.733755
0.726083
0.349932
2.930775
2.776797
0.59001
7,648
train
H1
H05
75
75
0
0
0
0.035708
-0.035708
-0.661337
-0.665891
2.536205
4.489888
1.842137
0.035708
0.661337
0.213194
0.44341
0.046941
0.001272
1.301974
1.156005
0.035588
7,648
train
H0
H05
100
100
0
0
0
-0.444697
0.444697
0.769157
0.766012
0.827333
1.053065
0.797914
-0.444697
0.769157
0.655733
0.586774
0.340578
0.197454
0.892856
0.831268
-0.445813
7,648
train
H1
H05
100
100
0
0
0
0.403159
-0.403159
0.428362
0.430474
3.714247
5.936646
2.905791
0.403159
0.428362
0.114734
0.185308
0.020006
0.162287
1.494441
1.345667
0.404171
7,648
train
H0
H05
150
150
0
0
0
2.43195
-2.43195
-2.747676
-2.808033
8.083487
14.220422
7.896947
-2.808033
2.747676
0.00262
7.885052
6.579034
5.937601
5.999936
5.840689
2.436014
7,648
train
H1
H05
150
150
0
0
0
0.862564
-0.862564
-0.71086
-0.709099
0.631671
0.55366
0.751072
0.862564
0.862564
0.387585
0.502821
0.602814
0.74364
0.113992
0.13586
0.864005
7,648
train
H0
H05
200
200
0
0
0
1.230817
-1.230817
-1.786047
-1.795806
3.410953
3.464675
3.697342
-1.795806
1.786047
0.157446
3.224921
2.449795
1.516216
3.60899
3.5965
1.232358
7,648
train
H1
H05
200
200
0
0
0
1.581984
-1.581984
-1.036606
-1.035346
2.692944
2.369243
2.986298
1.581984
1.581984
0.113202
1.071941
1.887874
2.504888
0.041874
0.064795
1.583965
7,648
train
H0
H05
300
300
0
0
0
-0.035797
0.035797
-0.906853
-0.908822
3.906649
3.944246
3.685808
-0.908822
0.906853
0.158357
0.825957
0.09842
0.001281
2.602603
2.506638
-0.035827
7,648
train
H1
H05
300
300
0
0
0
1.801622
-1.801622
-0.914806
-0.912404
4.17569
4.218739
4.957753
1.801622
1.801622
0.071369
0.832482
2.156139
3.249966
0.039837
0.031766
1.803125
7,648
train
H0
H05
500
500
0
0
0
0.4765
-0.4765
-0.819984
-0.819476
1.048709
1.178735
0.896175
0.4765
0.819984
0.633549
0.671541
0.325047
0.226962
0.855038
0.837883
0.476738
7,648
train
H1
H05
500
500
0
0
0
2.280453
-2.280453
-2.443286
-2.454614
6.027092
8.490055
6.110119
2.280453
2.443286
0.022513
6.025128
5.402696
5.205899
3.884187
3.801136
2.281594
7,648
train
H0
H05
1,000
1,000
0
0
0
-0.445746
0.445746
-0.376033
-0.37585
2.376347
2.217216
2.540758
-0.445746
0.445746
0.280725
0.141263
0.019991
0.198666
1.196258
1.163071
-0.445858
7,648
train
H1
H05
1,000
1,000
0
0
0
4.986459
-4.986459
-3.618348
-3.627273
24.956267
24.753536
26.943063
4.986459
4.986459
0.000001
13.157111
20.894733
24.955998
1.981313
2.048367
4.987706
7,648
train
H0
H05
20
20
10
15
0
-1.894451
1.894751
2.28945
2.403701
6.655703
7.258082
6.540992
-1.894451
2.28945
0.037988
5.777777
4.618348
3.647869
7.271391
7.213698
-1.949209
7,648
train
H1
H05
20
20
10
10
15
1.170128
-1.157506
-0.544856
-0.545161
2.72225
4.543064
3.006703
1.170128
1.157506
0.208481
0.2972
0.831409
1.357823
0.080407
0.074482
1.188632
7,648
train
H0
H05
30
30
10
13.333333
6.666667
0.628928
-0.634774
-0.519414
-0.517867
0.499201
1.284474
0.408914
0.628928
0.634774
0.517041
0.268186
0.419248
0.40251
0.022661
0.065447
0.647913
7,648
train
H1
H05
30
30
10
16.666667
6.666667
-0.50903
0.507193
0.61719
0.614591
0.419986
0.538862
0.392286
0.614591
0.61719
0.603161
0.377722
0.279182
0.25609
0.437157
0.447722
-0.51986
7,648
train
H0
H05
50
50
10
6
8
1.09545
-1.077707
-1.204138
-1.204605
1.452693
1.515396
1.452888
-1.204605
1.204138
0.273393
1.451072
1.259727
1.161861
0.968858
0.962575
1.095282
7,648
train
H1
H05
50
50
10
10
4
0.418243
-0.438474
0.220395
0.221006
3.054595
8.604147
2.065809
0.221006
0.438474
0.035044
0.048844
0.07797
0.191846
0.804416
0.641498
0.432445
7,648
train
H0
H05
75
75
10
8
10.666667
-0.508669
0.503095
0.445278
0.44331
0.222498
0.772589
0.259051
-0.508669
0.503095
0.612677
0.196524
0.214379
0.252551
0.102838
0.087463
-0.506255
7,648
train
H1
H05
75
75
10
10.666667
13.333333
1.976325
-1.981008
-1.794615
-1.808693
3.913937
3.886339
3.921995
-1.808693
1.981008
0.045604
3.271372
3.824894
3.937456
1.255701
1.380276
1.999036
7,648
train
H0
H05
100
100
10
10
13
1.034026
-0.993631
-1.464609
-1.474268
2.740101
3.645863
2.619693
-1.474268
1.464609
0.269861
2.173467
1.426295
0.986811
2.387735
2.268925
1.012031
7,648
train
H1
H05
100
100
10
10
20
1.914771
-1.886278
-2.06696
-2.076046
4.319404
4.523999
4.313066
1.914771
2.06696
0.056307
4.309965
4.110542
3.567279
2.940536
3.153274
1.908651
7,648
train
H0
H05
150
150
10
12
12
0.00943
0.015616
-0.470951
-0.471198
1.185132
1.152382
1.161909
-0.471198
0.470951
0.559364
0.222027
0.029968
0.000244
0.736898
0.687867
-0.014476
7,648
train
H1
H05
150
150
10
9.333333
8
1.663297
-1.666008
-1.38266
-1.384249
3.045946
3.321727
2.822372
-1.384249
1.666008
0.093694
1.916146
2.692119
2.779292
0.495239
0.530926
1.676225
7,648
train
H0
H05
200
200
10
9.5
7.5
-1.884321
1.946062
0.397118
0.400376
13.097435
13.332939
12.162726
-1.884321
1.946062
0.002285
0.160301
2.062967
3.79593
2.370444
2.213159
-1.954544
7,648
train
H1
H05
200
200
10
10
10.5
2.326077
-2.353039
-1.741509
-1.749557
4.797821
14.108791
6.040892
2.326077
2.353039
0.002761
3.060948
4.2014
5.553528
0.442588
0.381078
2.374311
7,648
train
H0
H05
300
300
10
9
11
0.333507
-0.312815
-0.497743
-0.497736
0.272832
1.54687
0.31307
0.333507
0.497743
0.671496
0.247741
0.172415
0.097799
0.27994
0.317792
0.314549
7,648
train
H1
H05
300
300
10
10.333333
10.666667
3.88286
-3.858242
-3.656799
-3.723862
15.074474
16.185207
15.426081
-3.723862
3.858242
0.000098
13.86715
14.974742
14.978167
6.774369
6.737363
3.895566
7,648
train
H0
H05
500
500
10
9.2
10.4
0.213363
-0.185793
-0.625674
-0.624794
0.878392
1.433798
0.972994
-0.624794
0.625674
0.614776
0.390368
0.135678
0.034506
0.81956
0.874059
0.187428
7,648
train
H1
H05
500
500
10
9.2
9
2.411378
-2.401753
-2.112337
-2.117338
5.33159
5.519479
5.830487
2.411378
2.401753
0.015589
4.483121
5.149908
5.778297
1.547615
1.558514
2.418397
7,648
train
H0
H05
1,000
1,000
10
9.8
9.3
0.443906
-0.483866
0.206387
0.206384
2.277338
2.537227
1.928089
0.443906
0.483866
0.381347
0.042594
0.087738
0.234099
0.774667
0.770899
0.486716
7,648
train
H1
H05
1,000
1,000
10
9.9
9.6
3.914913
-3.889965
-3.782041
-3.803689
16.604527
18.201368
15.830161
-3.803689
3.889965
0.000088
14.468051
16.584024
15.170585
7.463141
7.598171
3.920502
7,648
train
H0
H05
20
20
20
20
25
-0.577266
0.621282
0.46289
0.451938
0.286908
2.135423
0.388186
-0.577266
0.621282
0.527828
0.204248
0.255215
0.385128
0.073879
0.029292
-0.631325
7,648
train
H1
H05
20
20
20
20
10
-1.164523
1.173087
1.207934
1.201829
1.444585
4.012726
1.469287
-1.164523
1.207934
0.221397
1.444394
1.35102
1.372245
1.106692
0.964629
-1.222821
7,648
train
H0
H05
30
30
20
16.666667
26.666667
0.846743
-0.724462
-1.376774
-1.405835
3.984804
4.079891
3.963198
-1.405835
1.376774
0.137849
1.976371
1.054001
0.523547
3.471829
3.460496
0.731169
7,648
train
H1
H05
30
30
20
26.666667
13.333333
-0.569132
0.546294
0.494324
0.493205
0.33293
0.333096
0.33395
-0.569132
0.546294
0.576594
0.243251
0.277
0.296924
0.146737
0.146556
-0.558366
7,648
train
H0
H05
50
50
20
10
16
-1.490223
1.530879
0.926227
0.927814
3.444504
3.631187
3.213092
-1.490223
1.530879
0.121773
0.860838
1.870228
2.361061
0.002776
0.000301
-1.547373
7,648
train
H1
H05
50
50
20
18
12
-0.384733
0.360505
0.735572
0.734364
1.184231
1.388313
1.068204
0.734364
0.735572
0.586195
0.539291
0.239945
0.12954
1.151423
1.13243
-0.37347
7,648
train
H0
H05
75
75
20
14.666667
21.333333
0.433212
-0.388257
-0.691598
-0.689289
0.758056
0.828361
0.716073
-0.689289
0.691598
0.693944
0.47512
0.248683
0.150353
0.590188
0.57745
0.393508
7,648
train
H1
H05
75
75
20
21.333333
21.333333
1.737618
-1.778875
-1.187856
-1.191394
4.529176
5.581796
4.073158
1.737618
1.778875
0.070634
1.419419
2.756785
3.187873
0.035876
0.088197
1.807822
7,648
train
H0
H05
100
100
20
15
21
0.476829
-0.430413
-0.845047
-0.84782
1.463442
2.060354
1.28522
0.476829
0.845047
0.525918
0.718798
0.315357
0.184956
1.133767
1.096949
0.430247
7,648
train
H1
H05
100
100
20
17
15
1.301789
-1.347687
-0.821004
-0.820105
2.055585
3.231901
2.457143
1.301789
1.347687
0.173446
0.672572
1.266008
1.820362
0.00001
0.000047
1.361213
7,648
train
H0
H05
150
150
20
21.333333
24.666667
1.277611
-1.332258
-0.813485
-0.812064
2.364547
3.435027
2.639304
1.277611
1.332258
0.178355
0.659449
1.272131
1.77707
0.001648
0.002846
1.345837
7,648
train
H1
H05
150
150
20
20.666667
23.333333
2.640693
-2.649142
-2.310839
-2.334058
7.077311
7.037472
7.104004
2.640693
2.649142
0.007074
5.447828
6.712916
7.060786
1.773413
1.841947
2.693318
7,648
train
H0
H05
200
200
20
23
26.5
-0.386187
0.375488
0.488913
0.490068
0.269978
0.2646
0.270344
-0.386187
0.488913
0.701234
0.240166
0.183801
0.140897
0.306911
0.303807
-0.383655
7,648
train
H1
H05
200
200
20
17
21
1.207942
-1.260065
-0.752685
-0.751415
2.093276
1.990021
2.180976
1.207942
1.260065
0.20007
0.564625
1.163975
1.586886
0.001272
0.000074
1.281351
7,648
train
H0
H05
300
300
20
22.666667
17.666667
0.226773
-0.26915
0.197157
0.196823
1.408042
2.286607
1.05676
0.226773
0.26915
0.515092
0.038739
0.026919
0.072402
0.506691
0.481377
0.272649
7,648
train
H1
H05
300
300
20
19.666667
23.333333
2.822667
-2.881823
-2.271879
-2.276771
8.170587
9.597286
8.588254
2.822667
2.881823
0.003364
5.183688
7.309108
8.331635
1.037115
1.006093
2.932336
7,648
train
H0
H05
500
500
20
21.6
18.8
-0.948415
0.930108
1.046212
1.046581
1.111997
2.029882
1.095923
-0.948415
1.046212
0.345679
1.095331
0.929408
0.864849
0.873988
0.853876
-0.943004
7,648
train
H1
H05
500
500
20
23
19.6
2.083872
-2.251617
-0.77791
-0.778011
12.866884
13.175459
12.214323
2.083872
2.251617
0.002227
0.605301
3.214287
5.07842
1.029987
0.928502
2.291898
7,648
train
H0
H05
1,000
1,000
20
17.8
20.5
1.715869
-1.679876
-1.792834
-1.792329
3.284419
3.584933
3.249282
1.715869
1.792834
0.089384
3.212444
3.215072
2.822553
2.021057
2.057974
1.698658
7,648
train
H1
H05
1,000
1,000
20
18.3
19.7
5.856124
-5.9071
-4.927896
-4.971428
34.604721
35.350754
35.423393
5.856124
5.9071
0
24.7151
32.221807
35.070864
7.189006
7.276877
5.98927
7,648
train
H0
H05
20
20
30
40
35
0.964028
-1.070042
-0.739475
-0.74864
1.276448
1.865151
1.336844
0.964028
1.070042
0.259151
0.560462
0.933526
1.17182
0.003702
0.004383
1.128399
7,648
train
H1
H05
20
20
30
10
20
1.16296
-1.303476
-0.374952
-0.386045
6.485896
9.993364
5.836573
1.16296
1.303476
0.018623
0.149031
0.983572
1.713825
0.520839
0.359501
1.312309
7,648
train
H0
H05
30
30
30
23.333333
30
0.767231
-0.809562
-0.508528
-0.503446
0.918589
1.204974
0.982928
0.767231
0.809562
0.412575
0.253458
0.476699
0.653384
0.012458
0.014247
0.819371
7,648
train
H1
H05
30
30
30
26.666667
26.666667
2.907026
-2.937487
-2.55345
-2.857936
9.105404
9.967003
9.011682
-2.857936
2.937487
0.002475
8.167796
8.980386
9.000066
3.732685
3.885284
3.026338
7,648
train
H0
H05
50
50
30
32
34
0.748189
-0.782121
-0.697876
-0.695641
0.603384
2.068111
0.559885
-0.695641
0.782121
0.422701
0.483917
0.653417
0.610274
0.143523
0.183164
0.801744
7,648
train
H1
H05
50
50
30
28
34
1.856058
-1.838294
-1.961308
-2.007259
4.029224
4.295737
4.036594
-2.007259
1.961308
0.060313
4.029087
4.010863
3.414353
2.939145
3.135936
1.878501
7,648
train
H0
H05
75
75
30
29.333333
33.333333
0.458006
-0.464777
-0.326868
-0.324431
0.201364
1.513769
0.306715
0.458006
0.464777
0.638153
0.105256
0.128608
0.215783
0.001881
0.009353
0.470283
7,648
train
H1
H05
75
75
30
30.666667
33.333333
1.831544
-1.855557
-1.666108
-1.686468
3.328743
4.126629
3.435437
1.831544
1.855557
0.058188
2.844174
3.266677
3.47669
1.011188
1.153355
1.894281
7,648
train
H0
H05
100
100
30
30
33
-1.209294
1.261559
0.888359
0.895791
2.116906
2.213088
2.058079
-1.209294
1.261559
0.195564
0.802441
1.332846
1.592452
0.031289
0.038393
-1.294293
7,648
train
H1
H05
100
100
30
35
30
0.365476
-0.549672
0.198331
0.198512
2.343997
5.496034
2.819266
0.198512
0.549672
0.138876
0.039407
0.038554
0.302145
1.16113
1.179519
0.557989
7,648
train
H0
H05
150
150
30
32
29.333333
-0.178409
0.185617
0.070027
0.069895
0.1121
0.11422
0.103582
0.069895
0.185617
0.847211
0.004885
0.022689
0.034431
0.003487
0.001809
-0.192679
7,648
train
H1
H05
150
150
30
32.666667
36
1.340548
-1.462723
-0.887128
-0.885948
3.191441
3.68472
2.988779
1.340548
1.462723
0.131939
0.784904
1.699048
2.139659
0.001948
0.001079
1.506501
7,648
train
H0
H05
200
200
30
32
33.5
-1.107714
1.215717
0.678428
0.677682
2.465332
2.47704
2.428249
-1.107714
1.215717
0.213504
0.459252
1.082844
1.47856
0.028892
0.024003
-1.243987
7,648
train
H1
H05
200
200
30
31.5
25
0.456384
-0.603969
0.092852
0.092741
2.645168
3.242163
2.37809
0.456384
0.603969
0.304512
0.008601
0.153601
0.364802
0.778994
0.736523
0.614426
7,648
train
H0
H05
300
300
30
31
25.333333
-0.547319
0.453526
0.886071
0.884741
1.419638
1.52423
1.362186
0.884741
0.886071
0.506064
0.782766
0.35821
0.205582
1.394251
1.458659
-0.463863
7,648
train
H1
H05
300
300
30
28
30
1.744365
-1.669175
-1.880654
-1.898355
3.622104
3.665751
3.615721
-1.898355
1.880654
0.088838
3.603751
3.184539
2.786805
2.664792
2.678057
1.70156
7,648
train
H0
H05
500
500
30
29.2
30.8
0.573841
-0.598969
-0.340544
-0.340414
0.898484
3.101692
0.632611
0.573841
0.598969
0.37621
0.115882
0.350411
0.358643
0.012017
0.007569
0.612802
7,648
train
H1
H05
500
500
30
29.6
31.8
3.29583
-3.39268
-2.683105
-2.695093
11.692738
13.19406
12.259836
3.29583
3.39268
0.000523
7.263524
9.918954
11.546752
1.3403
1.320837
3.46864
7,648
train
H0
H05
1,000
1,000
30
30.1
29.7
-0.576453
0.543234
0.693732
0.693448
0.536469
0.791664
0.520776
0.693448
0.693732
0.579424
0.480871
0.362402
0.295117
0.513271
0.490316
-0.554227
7,648
train
H1
H05
1,000
1,000
30
28.4
27.3
3.480712
-3.479145
-3.128701
-3.148764
11.877385
11.66068
12.216187
3.480712
3.479145
0.000378
9.914712
11.39857
12.131382
3.54238
3.629491
3.555059
7,648
train
H0
H05
20
20
40
35
45
1.135985
-1.330454
-0.706662
-0.713707
3.795557
4.180514
3.880093
-0.713707
1.330454
0.143697
0.509377
1.203122
1.791763
0.142471
0.111333
1.372079
7,648
train
H1
H05
20
20
40
35
50
1.086081
-1.100469
-1.023071
-1.027575
1.212043
1.302635
1.204265
1.086081
1.100469
0.253124
1.055911
1.163033
1.218516
0.269717
0.254564
1.142794
7,648
train
H0
H05
30
30
40
50
36.666667
-1.466188
1.324885
1.57236
1.585841
2.622662
4.106386
2.58678
1.585841
1.57236
0.167709
2.514893
1.981983
1.764561
2.758691
2.609333
-1.379603
7,648
train
H1
H05
30
30
40
33.333333
36.666667
1.242963
-0.986387
-1.659709
-1.76174
6.601051
6.832092
6.524309
-1.76174
1.659709
0.038306
3.103727
1.7649
0.978645
5.618564
5.472428
1.01948
7,648
train
H0
H05
50
50
40
40
50
1.495268
-1.466279
-1.471589
-1.474983
2.207153
7.306467
2.257433
-1.474983
1.471589
0.062745
2.175574
2.05252
2.154862
1.018712
0.935309
1.529256
7,648
train
H1
H05
50
50
40
34
50
1.919791
-1.820765
-2.02107
-2.034931
4.146611
5.129616
4.1596
-2.034931
2.02107
0.061104
4.140945
3.905456
3.322603
2.930688
3.127699
1.872742
7,648
train
H0
H05
75
75
40
32
36
0.106826
-0.02924
-0.328986
-0.328744
0.504433
0.51665
0.514813
-0.328744
0.328986
0.773054
0.108072
0.026368
0.000854
0.296091
0.297911
0.033456
7,648
train
H1
H05
75
75
40
41.333333
33.333333
-0.284545
0.22917
0.394188
0.393579
0.212727
0.98653
0.239085
0.393579
0.394188
0.804511
0.154905
0.111883
0.05242
0.323406
0.409419
-0.238552
7,648
train
H0
H05
100
100
40
41
44
-0.613725
0.598303
0.4731
0.471824
0.596731
1.284554
0.521727
0.471824
0.598303
0.539199
0.222618
0.359867
0.358378
0.018838
0.046905
-0.614025
7,648
train
H1
H05
100
100
40
43
39
0.660008
-0.746476
-0.478992
-0.478884
0.658232
0.815585
0.672706
-0.478884
0.746476
0.438835
0.22933
0.448885
0.557394
0.002192
0.004804
0.774162
7,648
train
H0
H05
150
150
40
34.666667
40.666667
0.44368
-0.367408
-0.574063
-0.572977
0.473292
0.595823
0.455244
-0.572977
0.574063
0.705143
0.328303
0.19482
0.134907
0.36502
0.350908
0.378388
7,648
train
H1
H05
150
150
40
42.666667
40
1.211243
-1.273737
-0.974989
-0.987727
1.70959
4.786093
1.910184
-0.987727
1.273737
0.188148
0.975605
1.229617
1.62342
0.077928
0.073969
1.31204
7,648
train
H0
H05
200
200
40
42
37.5
-0.053414
-0.073589
0.458679
0.457858
2.105114
4.275203
1.821532
0.457858
0.458679
0.23324
0.209634
0.004845
0.005411
1.172243
1.117353
0.074186
7,648
train
H1
H05
200
200
40
37.5
45.5
3.692679
-3.723017
-3.399064
-3.454293
13.830231
14.509129
13.967381
3.692679
3.723017
0.00012
11.932139
13.566778
13.985225
4.689886
4.687585
3.84517
7,648
train
H0
H05
300
300
40
37.666667
38.666667
0.087205
-0.0222
-0.171347
-0.171073
0.114922
0.291638
0.089268
-0.171073
0.171347
0.956348
0.029266
0.001997
0.000493
0.054093
0.052423
0.022631
7,648
train
H1
H05
300
300
40
43
41.333333
1.246707
-1.285339
-1.110423
-1.115819
1.515022
2.665029
1.626215
-1.115819
1.285339
0.183239
1.245052
1.416137
1.653496
0.304941
0.294431
1.330849
7,648
train
H0
H05
500
500
40
43.6
41.4
-0.011285
-0.103827
0.157071
0.156919
0.1641
1.721303
0.239536
0.156919
0.157071
0.632208
0.024624
0.000952
0.010777
0.176621
0.198558
0.106638
7,648
train
H1
H05
500
500
40
37.4
41.2
3.56226
-3.654209
-3.061932
-3.081131
14.134294
14.221921
13.997037
3.56226
3.654209
0.000171
9.493367
12.473096
13.39879
2.368206
2.451302
3.758066
7,648
train
H0
H05
1,000
1,000
40
39.4
39.6
-0.000188
-0.170056
0.390321
0.390295
1.46207
2.655399
1.661461
-0.000188
0.390321
0.435731
0.15233
0.008767
0.028917
1.019295
1.051186
0.174815
7,648
train
H1
H05
1,000
1,000
40
42.9
42
2.010661
-1.808267
-2.255275
-2.267198
5.432179
5.452057
5.425129
-2.267198
2.255275
0.061414
5.140187
4.06795
3.274539
4.69847
4.697992
1.8705