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
4
train
H0
H16
20
20
30
25
15
0.460483
-0.596803
0.391804
0.394936
6.380257
7.039676
6.036724
0.394936
0.596803
0.048881
0.155974
0.045548
0.355235
2.214601
1.952036
0.583516
4
train
H1
H16
20
20
30
20
25
1.275977
-1.234343
-1.369133
-1.413426
2.059803
3.204067
2.034641
-1.413426
1.369133
0.198254
1.997773
1.706548
1.526193
1.335601
1.247272
1.28654
4
train
H0
H16
30
30
30
30
33.333333
-0.320769
0.225206
0.669492
0.672507
1.530333
1.457699
1.532544
-0.320769
0.669492
0.464742
0.452265
0.167361
0.050718
1.589496
1.507114
-0.228418
4
train
H1
H16
30
30
30
20
33.333333
-0.516509
0.662519
0.064216
0.064477
2.076594
3.643253
1.791933
-0.516509
0.662519
0.302652
0.004157
0.231434
0.441331
0.480269
0.381181
-0.63464
4
train
H0
H16
50
50
30
32
34
-0.281741
0.328659
0.179662
0.178809
0.121497
0.243918
0.143748
-0.281741
0.328659
0.735995
0.031973
0.064871
0.10765
0.005059
0.006905
-0.337162
4
train
H1
H16
50
50
30
36
28
-1.134124
1.078614
1.31457
1.324025
1.944828
3.962914
1.846524
-1.134124
1.31457
0.262443
1.753043
1.294664
1.161211
1.88407
1.750851
-1.120635
4
train
H0
H16
75
75
30
29.333333
30.666667
-0.278914
0.38648
-0.195269
-0.196013
2.112448
2.969905
1.908104
-0.196013
0.38648
0.385177
0.038421
0.034718
0.149173
0.728677
0.674982
-0.405498
4
train
H1
H16
75
75
30
32
32
-1.103711
1.260018
0.500063
0.499652
3.502485
4.492869
3.874398
-1.103711
1.260018
0.144107
0.249652
0.873865
1.593573
0.35858
0.353857
-1.272688
4
train
H0
H16
100
100
30
31
25
0.139213
-0.237032
0.191398
0.190478
0.533442
2.900098
0.8084
0.139213
0.237032
0.407286
0.036282
0.000005
0.056108
0.455018
0.561736
0.244088
4
train
H1
H16
100
100
30
23
26
0.186256
-0.169287
-0.208691
-0.207775
0.043428
0.091697
0.043486
0.186256
0.208691
0.862463
0.04317
0.042056
0.028611
0.014601
0.015489
0.17324
4
train
H0
H16
150
150
30
28.666667
31.333333
0.89415
-0.913439
-0.71382
-0.713092
0.938827
0.931872
0.924178
-0.713092
0.913439
0.35231
0.5085
0.744791
0.833654
0.048941
0.048995
0.930119
4
train
H1
H16
150
150
30
24
26.666667
0.317608
-0.193228
-0.896298
-0.895779
2.602858
2.531455
2.706423
0.317608
0.896298
0.258409
0.802419
0.242968
0.037322
2.10525
2.117885
0.203191
4
train
H0
H16
200
200
30
27
29
0.76468
-0.79762
-0.583046
-0.581483
0.785328
0.932835
0.718366
0.76468
0.79762
0.41642
0.338122
0.581773
0.636142
0.018385
0.019623
0.812647
4
train
H1
H16
200
200
30
26.5
28.5
1.855657
-1.877903
-1.526518
-1.528004
3.895897
4.130434
3.747548
1.855657
1.877903
0.055131
2.334795
3.306235
3.531728
0.44822
0.544833
1.917839
4
train
H0
H16
300
300
30
35.333333
29.666667
-0.871895
0.895681
0.755439
0.754884
0.727154
1.168037
0.790989
-0.871895
0.895681
0.356756
0.56985
0.696093
0.802155
0.167144
0.156814
-0.921563
4
train
H1
H16
300
300
30
28.666667
28.333333
0.007048
-0.071161
0.246784
0.246364
0.557876
0.677282
0.497993
0.246364
0.246784
0.779583
0.060695
0.0009
0.005062
0.345051
0.325856
0.071438
4
train
H0
H16
500
500
30
32.6
29.2
0.326743
-0.540322
0.388816
0.388588
4.084462
4.322926
4.108511
0.326743
0.540322
0.128188
0.151001
0.038444
0.291998
1.874757
1.835491
0.550997
4
train
H1
H16
500
500
30
30.6
31.4
-0.371902
0.697031
-0.835777
-0.838359
10.452679
16.915617
12.052768
-0.838359
0.835777
0.000736
0.702845
0.000002
0.486024
6.404014
6.661488
-0.717116
4
train
H0
H16
1,000
1,000
30
29.9
29.9
-0.048872
0.097123
-0.1068
-0.106736
0.181147
0.254473
0.18673
-0.106736
0.1068
0.910861
0.011392
0.000764
0.009431
0.086995
0.087061
-0.099012
4
train
H1
H16
1,000
1,000
30
29.4
29.6
-0.941804
1.235387
-0.282702
-0.28282
10.308697
11.486691
11.083406
-0.941804
1.235387
0.00392
0.079987
0.415022
1.526495
4.166966
4.179687
-1.262467
4
train
H0
H16
20
20
40
35
30
-0.249034
0.13805
0.470043
0.462335
0.47336
0.873542
0.514532
0.462335
0.470043
0.773163
0.213753
0.076238
0.018908
0.707757
0.742411
-0.156361
4
train
H1
H16
20
20
40
40
50
0.28721
-0.304584
-0.255035
-0.251496
0.117641
3.301412
0.089177
0.28721
0.304584
0.347446
0.06325
0.123328
0.092209
0.00328
0.004483
0.316371
4
train
H0
H16
30
30
40
40
30
-0.259602
0.320492
0.102467
0.102406
0.289165
0.573758
0.322639
0.102406
0.320492
0.740161
0.010487
0.047597
0.102201
0.007568
0.007844
-0.33164
4
train
H1
H16
30
30
40
46.666667
53.333333
1.479975
-1.647372
-1.180776
-1.188824
3.673508
3.693463
3.687747
1.479975
1.647372
0.088782
1.413303
2.241859
2.732571
0.041594
0.068149
1.701856
4
train
H0
H16
50
50
40
46
46
0.151119
-0.08324
-0.299126
-0.299675
0.391495
0.544143
0.372549
0.151119
0.299126
0.830046
0.089805
0.028068
0.006918
0.209523
0.215973
0.079061
4
train
H1
H16
50
50
40
28
50
1.216513
-0.798738
-2.146069
-2.158301
12.559315
13.03499
12.951924
-2.158301
2.146069
0.00154
4.658261
1.928416
0.638458
11.008432
10.988438
0.85493
4
train
H0
H16
75
75
40
41.333333
40
0.610747
-0.559338
-0.691719
-0.69479
0.505099
0.68099
0.513849
-0.69479
0.691719
0.55889
0.482733
0.400138
0.312561
0.327606
0.348375
0.584491
4
train
H1
H16
75
75
40
53.333333
42.666667
-1.178894
1.166135
1.164425
1.164375
1.356832
13.541172
1.401756
1.164375
1.166135
0.003601
1.355768
1.092537
1.360292
0.706492
0.596451
-1.208194
4
train
H0
H16
100
100
40
37
43
0.451423
-0.606478
0.0297
0.029842
2.585559
2.718904
2.500956
0.451423
0.606478
0.286368
0.000891
0.135366
0.367886
0.861164
0.778204
0.619773
4
train
H1
H16
100
100
40
46
32
-2.762
2.7865
2.530899
2.549372
7.724939
8.349924
7.833039
2.549372
2.7865
0.00427
6.499297
7.431515
7.81337
2.217472
2.252543
-2.85747
4
train
H0
H16
150
150
40
44.666667
36
-0.822256
0.691141
1.087687
1.083962
1.544815
3.660284
1.68753
1.083962
1.087687
0.300561
1.174974
0.833184
0.47748
1.837617
1.959335
-0.71806
4
train
H1
H16
150
150
40
40.666667
44
0.006208
0.037843
-0.076333
-0.076619
0.078729
0.240205
0.065635
-0.076619
0.076333
0.967715
0.00587
0.000102
0.001431
0.016142
0.012069
-0.03862
4
train
H0
H16
200
200
40
42
41.5
0.995488
-1.063502
-0.818924
-0.818384
1.076938
1.606201
1.180228
0.995488
1.063502
0.271661
0.669752
0.88037
1.132884
0.070319
0.074707
1.099246
4
train
H1
H16
200
200
40
38
37.5
-0.501197
0.695267
-0.015473
-0.015457
2.919682
3.151086
2.793339
-0.501197
0.695267
0.24742
0.000239
0.209766
0.483298
0.851958
0.769941
-0.713363
4
train
H0
H16
300
300
40
38.666667
37.666667
-0.196961
0.285647
-0.017059
-0.017051
0.528078
0.657476
0.480105
-0.017051
0.285647
0.769577
0.000291
0.041634
0.081561
0.120978
0.115599
-0.292928
4
train
H1
H16
300
300
40
35.666667
44.333333
1.148684
-0.713616
-2.14099
-2.146799
12.969543
13.056613
13.294445
-2.146799
2.14099
0.001298
4.608746
1.72308
0.50945
11.39657
11.333423
0.739442
4
train
H0
H16
500
500
40
38.6
37.4
0.285343
-0.312957
-0.236088
-0.235841
0.099139
0.178988
0.093037
0.285343
0.312957
0.748062
0.055621
0.085826
0.097959
0.005003
0.012072
0.321195
4
train
H1
H16
500
500
40
39.2
40.8
-0.108559
0.50516
-0.736211
-0.736464
6.113424
15.526171
7.493691
-0.736464
0.736211
0.001418
0.54238
0.012366
0.255269
4.284151
4.416553
-0.516163
4
train
H0
H16
1,000
1,000
40
40.3
41.6
0.637078
-0.587681
-0.688706
-0.688472
0.474584
0.835301
0.477602
-0.688472
0.688706
0.5434
0.473994
0.42206
0.345318
0.344394
0.366618
0.60768
4
train
H1
H16
1,000
1,000
40
39.1
41.8
0.325646
0.054193
-1.229169
-1.22993
8.511793
11.754767
9.397926
-1.22993
1.229169
0.008272
1.512728
0.273177
0.002938
6.533848
6.589583
-0.054962
4
train
H0
H16
20
20
50
45
35
-0.733252
0.554242
1.189915
1.232901
5.46362
6.602178
5.312413
1.232901
1.189915
0.070214
1.520044
0.729336
0.3074
4.384404
4.260651
-0.543276
4
train
H1
H16
20
20
50
55
45
-1.256171
1.217931
1.086279
1.099498
2.21193
3.006171
2.244253
-1.256171
1.217931
0.215853
1.208896
1.317318
1.485734
0.28228
0.256226
-1.237631
4
train
H0
H16
30
30
50
50
40
0.143535
-0.183351
-0.054613
-0.054487
0.170643
1.996907
0.127735
-0.054487
0.183351
0.573049
0.002969
0.028921
0.033605
0.072974
0.053251
0.194822
4
train
H1
H16
30
30
50
40
36.666667
-1.181298
0.925429
1.506259
1.579458
4.614908
7.322269
4.371167
1.579458
1.506259
0.062305
2.494688
1.332009
0.857395
4.45143
4.16519
-0.965906
4
train
H0
H16
50
50
50
48
58
1.232349
-1.377072
-0.987551
-0.983203
2.535714
2.605636
2.513714
-0.983203
1.377072
0.150583
0.966687
1.594597
1.894497
0.013956
0.040268
1.437476
4
train
H1
H16
50
50
50
52
50
-0.50795
0.637964
0.285489
0.2846
1.173856
1.511352
1.135194
0.2846
0.637964
0.511246
0.080997
0.268289
0.406519
0.055761
0.042179
-0.656899
4
train
H0
H16
75
75
50
49.333333
45.333333
-0.666056
0.642341
0.694227
0.694573
0.505946
7.2022
0.482476
0.694573
0.694227
0.065725
0.482432
0.312808
0.412123
0.416398
0.284863
-0.678068
4
train
H1
H16
75
75
50
49.333333
44
-0.423278
0.396253
0.452783
0.448835
0.201754
0.840713
0.203225
0.448835
0.452783
0.682013
0.201453
0.207894
0.15671
0.282543
0.363249
-0.409718
4
train
H0
H16
100
100
50
45
47
-0.554839
0.684079
0.231741
0.231068
1.610361
2.425816
1.462284
0.231068
0.684079
0.474722
0.053392
0.328691
0.468053
0.189619
0.151687
-0.714818
4
train
H1
H16
100
100
50
49
52
0.146987
-0.021025
-0.370744
-0.368179
0.912786
2.049034
0.784569
-0.368179
0.370744
0.562292
0.135556
0.00717
0.000441
0.476727
0.367893
0.024732
4
train
H0
H16
150
150
50
51.333333
52
-0.250842
0.060232
0.486331
0.485835
0.789287
2.022668
0.887968
0.485835
0.486331
0.567715
0.236036
0.084136
0.003629
0.854681
0.940464
-0.065971
4
train
H1
H16
150
150
50
52.666667
56.666667
0.272012
-0.207485
-0.380226
-0.378721
0.29533
1.130679
0.332871
-0.378721
0.380226
0.769674
0.14343
0.108016
0.043048
0.217756
0.208741
0.217086
4
train
H0
H16
200
200
50
46
51
0.859748
-0.816364
-0.903039
-0.900614
0.817321
1.497809
0.811946
-0.900614
0.903039
0.393679
0.811105
0.691089
0.666009
0.498521
0.454479
0.852965
4
train
H1
H16
200
200
50
54.5
45
-1.682094
1.732072
1.543347
1.538243
2.856719
3.476064
2.926158
-1.682094
1.732072
0.072461
2.366191
2.830691
2.999113
0.794591
0.716209
-1.796212
4
train
H0
H16
300
300
50
46.666667
44.333333
-1.434817
1.652542
0.987634
0.986049
3.933441
4.848283
4.133122
-1.434817
1.652542
0.087641
0.972292
1.933771
2.731265
0.022219
0.030675
-1.707977
4
train
H1
H16
300
300
50
49.333333
51.666667
-0.000411
0.167673
-0.293571
-0.293296
1.426782
1.828319
1.347927
-0.293296
0.293571
0.509684
0.086023
0.000606
0.028101
0.702618
0.613744
-0.172265
4
train
H0
H16
500
500
50
48.6
50.8
1.550974
-1.542316
-1.362308
-1.362245
2.92802
6.489431
2.656318
1.550974
1.542316
0.09008
1.855712
2.607035
2.380097
0.415415
0.462183
1.607254
4
train
H1
H16
500
500
50
45.2
50.8
1.224421
-1.011821
-1.428812
-1.427167
2.225499
4.252986
2.332074
-1.427167
1.428812
0.23541
2.036805
1.58137
1.023445
2.09344
2.180568
1.052821
4
train
H0
H16
1,000
1,000
50
49.8
49.8
0.542046
-0.699654
-0.328292
-0.328289
0.763173
1.961309
0.867746
-0.328289
0.699654
0.46587
0.107774
0.278635
0.489509
0.050169
0.0524
0.729215
4
train
H1
H16
1,000
1,000
50
49.4
47.5
-2.146327
2.410603
1.578412
1.578896
7.614147
10.506029
8.116227
-2.146327
2.410603
0.012509
2.492914
4.28194
5.814637
0.000346
0.000556
-2.497451
4
train
H0
H17
20
20
0
0
0
-0.405751
0.405751
-0.012435
-0.012106
0.791197
0.75541
0.777624
-0.012106
0.405751
0.677862
0.000147
0.06106
0.16331
0.129205
0.087046
-0.41092
4
train
H1
H17
20
20
0
0
0
-0.649202
0.649202
-0.032073
-0.03139
1.719138
1.897894
2.072922
-0.649202
0.649202
0.354708
0.000985
0.12118
0.420745
0.525832
0.494313
-0.657473
4
train
H0
H17
30
30
0
0
0
-0.458317
0.458317
-0.129181
-0.128555
2.009832
2.95653
1.556313
-0.458317
0.458317
0.398376
0.016526
0.082686
0.20914
0.539476
0.404417
-0.462185
4
train
H1
H17
30
30
0
0
0
0.458317
-0.458317
-1.102842
-1.113425
2.764024
2.750218
2.71202
-1.113425
1.102842
0.257687
1.239716
0.547
0.209414
2.215594
2.106192
0.462185
4
train
H0
H17
50
50
0
0
0
0.972029
-0.972029
-1.065842
-1.061584
1.164907
1.217755
1.134332
-1.061584
1.065842
0.328606
1.126961
1.152176
0.944286
0.70758
0.730005
0.976926
4
train
H1
H17
50
50
0
0
0
0.392948
-0.392948
-0.880058
-0.877125
1.196857
1.514951
1.385779
-0.877125
0.880058
0.500129
0.769348
0.390616
0.154177
1.257355
1.285418
0.394927
4
train
H0
H17
75
75
0
0
0
-0.757384
0.757384
1.324561
1.331702
2.112742
2.8643
2.502488
1.331702
1.324561
0.286149
1.773431
1.164176
0.573997
2.490439
2.595685
-0.754838
4
train
H1
H17
75
75
0
0
0
1.18212
-1.18212
-1.253391
-1.248509
1.596587
1.651519
1.594254
-1.248509
1.253391
0.238738
1.558775
1.560568
1.397279
0.888818
0.883014
1.178146
4
train
H0
H17
100
100
0
0
0
-1.202147
1.202147
1.472274
1.483155
2.454966
4.537291
2.247276
-1.202147
1.472274
0.208988
2.199749
1.606045
1.445778
2.035765
1.918293
-1.205164
4
train
H1
H17
100
100
0
0
0
-1.143506
1.143506
-0.007439
-0.00745
5.508674
5.088566
5.714264
-1.143506
1.143506
0.057433
0.000055
0.498578
1.309414
1.539013
1.431958
-1.146376
4
train
H0
H17
150
150
0
0
0
1.368388
-1.368388
-1.227663
-1.22451
1.967984
2.298802
1.879397
-1.22451
1.368388
0.170477
1.499425
1.949675
1.874405
0.563726
0.553962
1.370674
4
train
H1
H17
150
150
0
0
0
-0.959735
0.959735
-0.363356
-0.366508
8.401193
9.318544
7.417073
-0.959735
0.959735
0.024513
0.134328
0.254337
0.921125
2.891355
2.716837
-0.961339
4
train
H0
H17
200
200
0
0
0
0.471395
-0.471395
-0.82394
-0.826901
1.382605
4.647453
0.953084
0.471395
0.82394
0.199509
0.683765
0.299111
0.222094
0.919255
0.830655
0.471985
4
train
H1
H17
200
200
0
0
0
-1.028419
1.028419
-0.300244
-0.300933
6.212767
5.770293
7.087815
-1.028419
1.028419
0.0289
0.090561
0.245405
1.058746
2.622763
2.526552
-1.029707
4
train
H0
H17
300
300
0
0
0
-1.505826
1.505826
1.121484
1.118809
2.014235
2.52012
2.411879
-1.505826
1.505826
0.13179
1.251734
1.816631
2.268432
0.190886
0.180415
-1.507082
4
train
H1
H17
300
300
0
0
0
-0.307571
0.307571
-1.060765
-1.067172
5.209189
14.649908
7.635839
-0.307571
1.060765
0.002142
1.138857
0.111656
0.094629
4.925004
5.246341
-0.307828
4
train
H0
H17
500
500
0
0
0
1.308622
-1.308622
-0.84837
-0.846817
1.606411
1.53753
2.046896
1.308622
1.308622
0.190441
0.7171
1.231484
1.712673
0.022308
0.0277
1.309277
4
train
H1
H17
500
500
0
0
0
-2.874983
2.874983
0.951262
0.953636
17.180944
16.830214
18.102293
-2.874983
2.874983
0.000117
0.909421
4.89879
8.286847
1.881237
1.810033
-2.876421
4
train
H0
H17
1,000
1,000
0
0
0
0.604267
-0.604267
-0.901235
-0.901797
1.362524
4.523719
0.942752
-0.901797
0.901235
0.210184
0.813239
0.396964
0.365082
0.895396
0.848518
0.604418
4
train
H1
H17
1,000
1,000
0
0
0
-2.755094
2.755094
0.185805
0.187006
30.337246
30.318011
28.079565
-2.755094
2.755094
0.000001
0.034971
3.726269
7.600449
6.883274
6.759752
-2.755783
4
train
H0
H17
20
20
10
20
0
-1.222665
1.169609
1.72091
1.73895
4.303537
5.855731
4.037613
1.73895
1.72091
0.118844
3.023947
1.939593
1.359538
4.48453
4.263205
-1.19404
4
train
H1
H17
20
20
10
10
10
-0.268311
0.246499
0.628698
0.623909
1.128944
1.869281
0.999792
-0.268311
0.628698
0.599976
0.389263
0.143834
0.060223
1.125499
0.991114
-0.260791
4
train
H0
H17
30
30
10
13.333333
13.333333
-0.891059
0.893212
0.479411
0.47459
1.327876
1.450279
1.457391
-0.891059
0.893212
0.368006
0.225236
0.510496
0.794976
0.00915
0.00637
-0.900214
4
train
H1
H17
30
30
10
10
13.333333
-0.612026
0.639311
-0.234864
-0.234761
3.571284
4.952462
4.122884
-0.234761
0.639311
0.12727
0.055113
0.063649
0.410592
1.62687
1.609471
-0.627252
4
train
H0
H17
50
50
10
8
8
0.185786
-0.161065
-0.480325
-0.477033
0.661187
1.329234
0.500583
0.185786
0.480325
0.722203
0.227561
0.058037
0.025889
0.408376
0.332857
0.165203
4
train
H1
H17
50
50
10
8
10
-0.270773
0.295449
-0.133896
-0.132623
0.585635
1.694259
0.795484
-0.132623
0.295449
0.638211
0.017589
0.00883
0.086969
0.261769
0.322636
-0.294097
4
train
H0
H17
75
75
10
5.333333
12
1.561406
-1.564696
-1.268559
-1.261989
2.47184
2.363841
2.53156
1.561406
1.564696
0.11655
1.592616
2.166694
2.448702
0.322639
0.394308
1.569419
4
train
H1
H17
75
75
10
10.666667
9.333333
-1.836995
1.860283
0.837444
0.834093
6.314426
6.25604
6.76768
-1.836995
1.860283
0.033917
0.695712
2.214301
3.482178
0.436327
0.347775
-1.869732
4
train
H0
H17
100
100
10
4
17
-0.351262
0.445606
-0.969125
-0.966658
7.980309
8.175682
8.227653
-0.351262
0.969125
0.016345
0.934427
0.008004
0.198558
4.98031
4.816343
-0.452557
4
train
H1
H17
100
100
10
17
10
-0.533973
0.555406
-0.107809
-0.108388
2.980275
6.619975
2.203362
-0.108388
0.555406
0.085049
0.011748
0.145145
0.307994
0.72307
0.594973
-0.562233
4
train
H0
H17
150
150
10
6.666667
12.666667
2.19184
-2.113982
-3.1962
-3.275373
13.433977
13.226191
13.891482
-3.275373
3.1962
0.000963
10.728066
7.206223
4.489858
13.622471
13.562293
2.14227
4
train
H1
H17
150
150
10
12.666667
6.666667
-1.783924
1.762963
1.621601
1.624188
3.682416
5.115484
3.191886
-1.783924
1.762963
0.074364
2.637985
3.482033
3.111604
0.953381
1.076309
-1.78437
4
train
H0
H17
200
200
10
9.5
5.5
0.081981
-0.09961
0.369066
0.368546
1.319333
2.398595
0.910581
0.081981
0.369066
0.493896
0.135826
0.000021
0.009917
0.6119
0.539271
0.099083
4
train
H1
H17
200
200
10
9.5
9.5
-0.068057
0.125981
-0.784421
-0.78992
4.854399
6.24956
3.737869
-0.78992
0.784421
0.10008
0.623974
0.011548
0.015868
2.590144
2.454126
-0.125511
4
train
H0
H17
300
300
10
11
11
-1.808034
1.789246
1.929998
1.937794
3.758074
3.86537
3.783791
-1.808034
1.929998
0.070119
3.755045
3.435353
3.204548
2.53527
2.557498
-1.811141
4
train
H1
H17
300
300
10
10.333333
9
-1.579354
1.638862
0.648201
0.6484
5.380886
6.568536
5.375694
-1.579354
1.638862
0.068027
0.420423
1.789056
2.687541
0.412902
0.411689
-1.647053
4
train
H0
H17
500
500
10
12.4
11.2
-1.939871
1.929615
1.690628
1.691599
4.042743
4.281008
3.773693
-1.939871
1.929615
0.051026
2.861506
3.781549
3.725504
0.893147
0.896646
-1.951263
4
train
H1
H17
500
500
10
11.4
11
-2.456411
2.538364
0.991079
0.992095
12.94502
12.737747
13.433897
-2.456411
2.538364
0.00121
0.984253
4.021298
6.455861
1.127301
1.060375
-2.55613
4
train
H0
H17
1,000
1,000
10
9.2
9.1
-0.018405
-0.001269
0.511651
0.511661
1.471372
1.687866
1.159631
-0.018405
0.511651
0.560002
0.261797
0.016995
0.000002
0.871184
0.869478
0.001136
4
train
H1
H17
1,000
1,000
10
11.8
10.9
-3.249115
3.383462
1.128574
1.129142
22.944618
22.281013
25.982729
-3.249115
3.383462
0.000002
1.274962
6.372387
11.465716
2.940497
2.861298
-3.413056