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
6
train
H0
H04
20
20
50
40
50
-0.353829
0.594668
-0.146599
-0.145068
3.383249
4.821975
3.571072
-0.145068
0.594668
0.167707
0.021045
0.068219
0.351657
1.283225
1.337615
-0.616335
6
train
H1
H04
20
20
50
40
55
-0.350687
0.364739
0.372853
0.387812
0.16167
2.562696
0.170356
0.387812
0.372853
0.464067
0.150399
0.16936
0.134094
0.343107
0.406521
-0.363271
6
train
H0
H04
30
30
50
43.333333
50
-0.193458
0.096895
0.168311
0.169461
0.03381
4.766744
0.045753
-0.193458
0.168311
0.189696
0.028717
0.003454
0.00935
0.049357
0.01688
-0.097136
6
train
H1
H04
30
30
50
40
46.666667
1.375751
-1.621627
-0.945859
-0.93887
3.617867
3.720496
3.623358
1.375751
1.621627
0.090721
0.881477
1.973315
2.627639
0.00781
0.000974
1.691608
6
train
H0
H04
50
50
50
44
44
-0.814465
0.775788
0.827586
0.826091
0.695708
0.710124
0.691361
0.826091
0.827586
0.41916
0.682426
0.728905
0.601606
0.523805
0.575227
-0.80788
6
train
H1
H04
50
50
50
48
50
-0.601121
0.755022
0.476957
0.475919
0.471449
1.72866
0.533443
-0.601121
0.755022
0.438178
0.226499
0.415419
0.570925
0.023964
0.005487
-0.775274
6
train
H0
H04
75
75
50
50.666667
49.333333
-0.090108
0.118573
0.004778
0.004747
0.116462
0.355416
0.094488
-0.090108
0.118573
0.904306
0.000023
0.010272
0.01406
0.004288
0.003282
-0.120223
6
train
H1
H04
75
75
50
48
44
-1.79532
1.858669
1.670589
1.686215
3.32201
3.344988
3.319626
1.686215
1.858669
0.054912
2.84332
3.359349
3.483396
1.121909
1.106663
-1.919572
6
train
H0
H04
100
100
50
46
56
0.557296
-0.368743
-0.784981
-0.78208
1.148674
1.18917
1.128485
-0.78208
0.784981
0.568791
0.611649
0.280074
0.135892
0.925382
0.885763
0.392237
6
train
H1
H04
100
100
50
43
60
0.359358
-0.326164
-0.339748
-0.347847
0.167486
8.941849
0.129094
-0.347847
0.339748
0.030074
0.120998
0.199126
0.106549
0.033493
0.060308
0.340673
6
train
H0
H04
150
150
50
50
38.666667
-0.545305
0.557499
0.540227
0.540697
0.303274
0.355715
0.301717
0.540697
0.557499
0.56396
0.292354
0.365989
0.310711
0.199655
0.178118
-0.57697
6
train
H1
H04
150
150
50
52
52
-0.920052
0.753858
1.018635
1.024963
1.135751
1.171535
1.139932
-0.920052
1.018635
0.43408
1.05055
0.751685
0.568665
1.186845
1.206196
-0.782229
6
train
H0
H04
200
200
50
52.5
48
-1.438813
1.638728
0.960902
0.959841
4.888575
5.464615
4.690182
-1.438813
1.638728
0.088514
0.921294
2.126016
2.685476
0.113447
0.075702
-1.70329
6
train
H1
H04
200
200
50
48
47
-1.615899
1.629976
1.488425
1.501219
2.707034
2.754988
2.672914
-1.615899
1.629976
0.09106
2.253659
2.72655
2.662489
0.768696
0.785352
-1.689832
6
train
H0
H04
300
300
50
50.666667
52.333333
0.838543
-0.844094
-0.84455
-0.843366
0.711531
1.987668
0.719578
-0.843366
0.84455
0.379887
0.711266
0.650845
0.712734
0.352769
0.31691
0.878104
6
train
H1
H04
300
300
50
54
52.666667
-1.147169
0.956601
1.330141
1.33752
2.245443
2.696992
2.190274
-1.147169
1.330141
0.320604
1.788961
1.190794
0.915263
2.302695
2.299381
-0.993218
6
train
H0
H04
500
500
50
51.4
49.2
-0.941687
1.028356
0.784292
0.783566
1.09706
1.169946
1.10409
-0.941687
1.028356
0.284656
0.613976
0.944102
1.057509
0.077087
0.075324
-1.069919
6
train
H1
H04
500
500
50
49.8
51
-1.544976
1.742256
1.24075
1.243749
3.070924
8.807237
3.404885
1.243749
1.742256
0.031967
1.546912
2.207804
3.040149
0.075912
0.064149
-1.813452
6
train
H0
H04
1,000
1,000
50
52.5
52.7
0.286305
-0.366415
-0.153405
-0.153384
0.290442
1.355415
0.359198
-0.153384
0.366415
0.703966
0.023527
0.049725
0.13426
0.045817
0.041782
0.379972
6
train
H1
H04
1,000
1,000
50
48.1
50.5
-1.696171
1.843757
1.325671
1.331066
4.137096
4.346442
4.26332
-1.696171
1.843757
0.055442
1.771737
2.760303
3.402913
0.049164
0.045776
-1.915394
6
train
H0
H05
20
20
0
0
0
2.082857
-2.082857
-2.32316
-2.522961
6.842672
7.598918
6.756058
-2.522961
2.32316
0.034115
6.365332
5.367317
4.450366
5.613906
5.533481
2.109391
6
train
H1
H05
20
20
0
0
0
0.784453
-0.784453
-0.220474
-0.21871
2.199074
3.754365
1.740279
0.784453
0.784453
0.289239
0.047834
0.385254
0.612639
0.247982
0.142739
0.794446
6
train
H0
H05
30
30
0
0
0
-0.665299
0.665299
0.833743
0.822475
0.692191
0.716875
0.692283
-0.665299
0.833743
0.502276
0.676466
0.559303
0.440601
0.7381
0.730975
-0.670914
6
train
H1
H05
30
30
0
0
0
0.029569
-0.029569
-0.006633
-0.006495
0.012171
0.966283
0.002513
0.029569
0.029569
0.80941
0.000042
0.00074
0.000868
0.010048
0.034994
0.029818
6
train
H0
H05
50
50
0
0
0
-0.330903
0.330903
-0.15045
-0.149048
1.020459
1.213001
0.944145
-0.330903
0.330903
0.623708
0.022215
0.024086
0.109145
0.314094
0.245389
-0.33257
6
train
H1
H05
50
50
0
0
0
1.633835
-1.633835
-1.031658
-1.035561
3.728974
4.426696
3.42726
1.633835
1.633835
0.100576
1.072386
2.145555
2.681706
0.022601
0.067337
1.642066
6
train
H0
H05
75
75
0
0
0
0.460444
-0.460444
-0.344309
-0.340837
0.153448
0.742687
0.226407
0.460444
0.460444
0.646309
0.11617
0.151103
0.211479
0.005049
0.000937
0.458896
6
train
H1
H05
75
75
0
0
0
-0.155987
0.155987
1.09245
1.102961
4.447506
4.357097
4.322714
-0.155987
1.09245
0.115169
1.216524
0.285093
0.024292
3.55617
3.429294
-0.155463
6
train
H0
H05
100
100
0
0
0
0.701253
-0.701253
-1.149433
-1.153435
1.969787
3.173905
1.756792
0.701253
1.149433
0.365582
1.330411
0.751081
0.491391
1.629083
1.51732
0.703012
6
train
H1
H05
100
100
0
0
0
0.952922
-0.952922
-0.888839
-0.884719
0.807856
1.321377
0.919477
0.952922
0.952922
0.339419
0.782727
0.786347
0.907335
0.298988
0.270592
0.955313
6
train
H0
H05
150
150
0
0
0
-0.967722
0.967722
0.926341
0.924636
1.171798
2.316027
0.964361
-0.967722
0.967722
0.332376
0.854952
1.094143
0.936529
0.416182
0.507705
-0.969339
6
train
H1
H05
150
150
0
0
0
2.220303
-2.220303
-1.760771
-1.763988
4.19358
8.041638
5.07686
-1.763988
2.220303
0.026148
3.111654
4.051837
4.946803
0.701628
0.640744
2.224012
6
train
H0
H05
200
200
0
0
0
-0.685036
0.685036
0.578734
0.576741
0.429434
0.47838
0.470457
0.576741
0.685036
0.49278
0.33263
0.397897
0.4691
0.109862
0.132787
-0.685894
6
train
H1
H05
200
200
0
0
0
1.078586
-1.078586
-0.269886
-0.269429
2.202209
5.153392
3.001085
1.078586
1.078586
0.160903
0.072592
0.569281
1.163827
0.372823
0.426816
1.079937
6
train
H0
H05
300
300
0
0
0
-0.267064
0.267064
1.368266
1.381407
6.975727
7.766858
5.793784
1.381407
1.368266
0.051084
1.908284
0.381383
0.071281
4.809709
4.717531
-0.267287
6
train
H1
H05
300
300
0
0
0
1.497348
-1.497348
-1.764232
-1.76678
3.129705
3.172141
3.127458
-1.76678
1.764232
0.133978
3.121511
2.917266
2.243767
2.439043
2.414912
1.498597
6
train
H0
H05
500
500
0
0
0
-1.948918
1.948918
1.542084
1.540587
3.780073
4.133912
3.891353
-1.948918
1.948918
0.051189
2.373409
3.431857
3.800845
0.500227
0.491833
-1.949893
6
train
H1
H05
500
500
0
0
0
3.880756
-3.880756
-3.153679
-3.164966
14.093559
15.031978
15.303366
3.880756
3.880756
0.000103
10.017007
13.412081
15.121233
2.751597
2.751619
3.882698
6
train
H0
H05
1,000
1,000
0
0
0
-1.535874
1.535874
2.228137
2.235873
5.175658
12.330932
5.682716
2.235873
2.228137
0.006331
4.999129
3.726992
2.359341
5.538785
5.750747
-1.536258
6
train
H1
H05
1,000
1,000
0
0
0
2.878069
-2.878069
-2.077731
-2.078354
8.119072
7.569655
8.995995
2.878069
2.878069
0.003992
4.319557
6.77873
8.291697
0.559269
0.597643
2.878789
6
train
H0
H05
20
20
10
5
20
0.459464
-0.404377
-0.893703
-0.891905
1.911459
3.676168
1.686681
0.459464
0.893703
0.298622
0.795495
0.3395
0.162167
1.314664
1.114807
0.430735
6
train
H1
H05
20
20
10
10
10
-0.322867
0.353717
0.045076
0.043942
0.164313
3.014785
0.390292
0.043942
0.353717
0.389351
0.001931
0.031145
0.124106
0.04184
0.100381
-0.375612
6
train
H0
H05
30
30
10
16.666667
0
-0.003428
-0.030422
0.467512
0.467372
0.550993
10.113561
1.169103
-0.003428
0.467512
0.017625
0.218437
0.097936
0.000928
0.726385
1.024065
0.004669
6
train
H1
H05
30
30
10
10
3.333333
0.248773
-0.216899
-0.766477
-0.783296
2.448776
4.551202
2.029645
-0.783296
0.766477
0.207768
0.613553
0.165539
0.046863
1.494448
1.332131
0.210577
6
train
H0
H05
50
50
10
10
14
-0.322461
0.319856
0.42447
0.424464
0.200998
0.198943
0.205757
-0.322461
0.42447
0.746496
0.18017
0.14207
0.102004
0.274619
0.279518
-0.323263
6
train
H1
H05
50
50
10
8
6
1.15512
-1.188623
-0.510878
-0.505721
2.29418
2.502562
2.587168
1.15512
1.188623
0.228392
0.255754
0.860386
1.41743
0.12525
0.104399
1.204511
6
train
H0
H05
75
75
10
14.666667
10.666667
0.600704
-0.592209
-0.638598
-0.640043
0.430747
1.083545
0.41133
-0.640043
0.638598
0.552494
0.409655
0.439575
0.350253
0.22441
0.244675
0.594027
6
train
H1
H05
75
75
10
10.666667
2.666667
1.201807
-1.239509
-0.322897
-0.321128
3.728435
3.640546
4.060099
1.201807
1.239509
0.131329
0.103123
0.8101
1.540652
0.530993
0.459816
1.24095
6
train
H0
H05
100
100
10
6
11
-0.101498
0.132509
-0.567425
-0.565313
2.299353
2.499248
2.154938
-0.565313
0.567425
0.340456
0.319579
0.01023
0.017545
1.371484
1.321011
-0.129463
6
train
H1
H05
100
100
10
8
9
1.785007
-1.79356
-1.646206
-1.652014
3.398876
4.256055
3.216026
1.785007
1.79356
0.069742
2.72915
3.360867
3.230016
1.112918
1.325954
1.81358
6
train
H0
H05
150
150
10
6.666667
8.666667
0.518498
-0.514075
-0.777252
-0.777066
0.768872
0.921156
0.748266
0.518498
0.777252
0.605828
0.603832
0.37843
0.264066
0.683664
0.739805
0.516037
6
train
H1
H05
150
150
10
13.333333
7.333333
1.842623
-1.843752
-1.669425
-1.694422
3.486895
3.784363
3.407694
1.842623
1.843752
0.063544
2.871065
3.398587
3.407791
1.149565
1.217723
1.855366
6
train
H0
H05
200
200
10
7.5
8
1.07983
-1.074789
-0.931871
-0.930901
0.891629
3.628152
1.17111
1.07983
1.074789
0.280038
0.866577
0.84548
1.155461
0.256258
0.21039
1.080233
6
train
H1
H05
200
200
10
8.5
10.5
0.375731
-0.35935
-0.222065
-0.221871
0.058045
6.108273
0.209836
0.375731
0.35935
0.10646
0.049227
0.020665
0.1293
0.000008
0.004621
0.362002
6
train
H0
H05
300
300
10
13.333333
11
-0.551646
0.578424
0.014696
0.01469
1.587109
1.658816
1.502235
-0.551646
0.578424
0.471839
0.000216
0.160869
0.334423
0.362573
0.367582
-0.58289
6
train
H1
H05
300
300
10
10.666667
12
1.848609
-1.765314
-2.756989
-2.796618
10.282201
10.144392
10.302467
-2.796618
2.756989
0.005792
7.821073
4.916526
3.121744
10.126543
10.042163
1.779146
6
train
H0
H05
500
500
10
10.6
10
-1.779246
1.779034
1.612602
1.612123
3.207707
3.23024
3.171338
-1.779246
1.779034
0.072882
2.598939
3.151451
3.167191
1.001865
1.063202
-1.793571
6
train
H1
H05
500
500
10
8.6
7.4
2.877921
-2.835664
-3.15457
-3.193988
10.244972
11.14959
10.203897
-3.193988
3.15457
0.004426
10.201562
8.758631
8.057987
7.419714
7.393166
2.8461
6
train
H0
H05
1,000
1,000
10
9.2
10.9
2.299183
-2.295011
-2.175906
-2.176979
5.235471
5.849619
5.362416
2.299183
2.295011
0.020981
4.739238
5.263306
5.2699
2.174251
2.157541
2.308332
6
train
H1
H05
1,000
1,000
10
9
10.7
5.261702
-5.237825
-5.065238
-5.108327
28.15102
28.842794
28.56792
5.261702
5.237825
0
26.095007
28.122911
27.540712
13.331309
13.354514
5.268214
6
train
H0
H05
20
20
20
5
5
-0.339225
0.338746
-0.006512
-0.006375
0.477248
0.648125
0.616105
-0.006375
0.338746
0.731859
0.000041
0.030189
0.11403
0.093271
0.078805
-0.342654
6
train
H1
H05
20
20
20
10
5
1.229261
-1.213733
-1.335051
-1.374025
1.890419
3.42019
1.893705
-1.374025
1.335051
0.217486
1.887944
1.796953
1.480838
1.265152
1.412433
1.23324
6
train
H0
H05
30
30
20
16.666667
6.666667
-0.721723
0.76008
0.188963
0.188466
2.018469
2.256724
1.905596
-0.721723
0.76008
0.38566
0.035519
0.303006
0.576197
0.234624
0.161424
-0.765257
6
train
H1
H05
30
30
20
20
33.333333
2.96028
-3.025286
-2.611961
-2.713523
9.252198
9.650615
9.337745
-2.713523
3.025286
0.002138
7.363207
9.050237
9.486021
2.62657
2.89031
3.070327
6
train
H0
H05
50
50
20
18
18
-0.334114
0.266333
0.828154
0.840979
2.4634
2.960951
2.261421
-0.334114
0.828154
0.322804
0.707246
0.236631
0.070877
1.938225
1.884766
-0.24937
6
train
H1
H05
50
50
20
26
16
0.209969
-0.172696
-0.355598
-0.35718
0.297856
0.935682
0.226512
-0.35718
0.355598
0.81681
0.127577
0.046272
0.02977
0.150495
0.129776
0.187015
6
train
H0
H05
75
75
20
16
18.666667
1.131416
-1.324092
-0.166585
-0.166703
4.14935
6.884041
5.433513
1.131416
1.324092
0.066089
0.02779
0.668618
1.760115
0.984306
1.01182
1.337111
6
train
H1
H05
75
75
20
17.333333
17.333333
0.905442
-0.921246
-0.857491
-0.855468
0.783011
1.248569
0.825091
-0.855468
0.921246
0.353167
0.731825
0.794341
0.848103
0.283871
0.234702
0.928465
6
train
H0
H05
100
100
20
15
24
-0.208733
0.240282
0.285254
0.28529
0.142805
1.304748
0.099041
-0.208733
0.285254
0.728006
0.08139
0.054873
0.057742
0.128482
0.08885
-0.244508
6
train
H1
H05
100
100
20
19
16
1.761784
-1.771613
-1.500753
-1.520723
3.602143
5.330344
3.169867
1.761784
1.771613
0.073815
2.312598
3.201783
3.145468
0.673722
0.828947
1.787757
6
train
H0
H05
150
150
20
17.333333
24
0.790747
-0.737838
-1.128241
-1.125538
1.613356
1.55127
1.643389
-1.125538
1.128241
0.439686
1.266836
0.851792
0.544167
1.51301
1.478864
0.75164
6
train
H1
H05
150
150
20
14.666667
23.333333
2.798153
-2.744082
-2.669581
-2.695031
8.069307
8.094653
7.978416
-2.695031
2.744082
0.005174
7.263194
7.91096
7.554836
3.573314
3.652944
2.796007
6
train
H0
H05
200
200
20
20
17
-0.625306
0.555865
1.024343
1.022949
1.604568
2.057026
1.627188
1.022949
1.024343
0.443262
1.046425
0.539619
0.30874
1.690831
1.767974
-0.565677
6
train
H1
H05
200
200
20
20
17.5
2.572017
-2.606722
-1.924009
-1.941526
8.349491
9.746904
7.716234
2.572017
2.606722
0.008089
3.769523
6.123768
6.826603
0.482999
0.638015
2.648326
6
train
H0
H05
300
300
20
18.666667
17.666667
-1.031606
1.039085
0.830125
0.828691
1.157537
1.160281
1.138407
-1.031606
1.039085
0.291873
0.686729
0.973819
1.079739
0.146444
0.173833
-1.054022
6
train
H1
H05
300
300
20
21.666667
18
2.084553
-2.15852
-1.360871
-1.365367
5.918862
6.69502
6.342562
2.084553
2.15852
0.028493
1.864228
3.452012
4.673383
0.011778
0.015436
2.190432
6
train
H0
H05
500
500
20
17.4
20.2
0.297478
-0.213068
-0.885584
-0.885344
2.43613
2.808378
2.340063
-0.885344
0.885584
0.310357
0.783834
0.191897
0.045384
1.932179
1.994236
0.216295
6
train
H1
H05
500
500
20
19.4
21
3.208383
-3.132609
-3.389689
-3.431423
11.790993
13.785941
11.79828
-3.431423
3.389689
0.001458
11.774665
10.271213
9.835259
8.080382
8.025049
3.182866
6
train
H0
H05
1,000
1,000
20
21.5
20.2
-0.798162
0.714037
1.301937
1.302934
2.668689
2.605756
2.676542
1.302934
1.301937
0.262299
1.697636
0.930231
0.509805
2.721163
2.687896
-0.724783
6
train
H1
H05
1,000
1,000
20
18.8
19.6
5.166326
-5.179232
-4.582689
-4.62506
27.120597
27.106404
26.902845
5.166326
5.179232
0
21.391184
26.260761
26.932038
7.990644
8.214305
5.247264
6
train
H0
H05
20
20
30
30
40
0.25832
-0.238854
-0.325319
-0.317393
0.149506
1.310513
0.116402
-0.317393
0.325319
0.726638
0.100738
0.044568
0.056687
0.036141
0.004194
0.254905
6
train
H1
H05
20
20
30
30
20
0.134014
-0.300863
0.168659
0.1642
0.310533
4.264175
0.600686
0.134014
0.300863
0.234315
0.026962
0.00075
0.090009
0.372511
0.590482
0.287354
6
train
H0
H05
30
30
30
26.666667
30
-0.268229
0.437036
-0.17257
-0.170956
1.392853
1.815667
1.503371
-0.170956
0.437036
0.471571
0.029226
0.040457
0.190838
0.568508
0.554923
-0.434744
6
train
H1
H05
30
30
30
33.333333
43.333333
0.841148
-0.858811
-0.772545
-0.761638
0.691355
0.780057
0.709703
-0.761638
0.858811
0.372112
0.580093
0.66783
0.7357
0.111695
0.113443
0.892523
6
train
H0
H05
50
50
30
36
24
-0.995767
0.84699
1.306419
1.305481
2.42207
4.099748
2.237531
-0.995767
1.306419
0.250893
1.70428
0.97685
0.716029
2.427377
2.300299
-0.875709
6
train
H1
H05
50
50
30
30
22
-0.440888
0.348247
0.52934
0.524211
0.275118
1.47041
0.292577
0.524211
0.52934
0.689116
0.274797
0.196872
0.1209
0.33867
0.45103
-0.359143
6
train
H0
H05
75
75
30
32
32
0.628174
-0.779208
0.013338
0.013316
3.358994
3.902542
3.565476
0.628174
0.779208
0.168177
0.000177
0.202551
0.606898
1.075473
1.081843
0.787789
6
train
H1
H05
75
75
30
34.666667
28
0.018799
-0.159259
0.283607
0.282281
0.576811
2.169417
0.780873
0.282281
0.283607
0.537997
0.079683
0.003898
0.025329
0.544327
0.616347
0.156165
6
train
H0
H05
100
100
30
28
28
0.352655
-0.422113
-0.057749
-0.057548
0.631448
0.782819
0.706411
0.352655
0.422113
0.666749
0.003312
0.06975
0.178017
0.19604
0.194314
0.430614
6
train
H1
H05
100
100
30
23
26
0.594745
-0.47524
-1.127852
-1.134054
2.951975
2.972127
2.901656
-1.134054
1.127852
0.234376
1.286078
0.543535
0.225702
2.491569
2.433769
0.488657
6
train
H0
H05
150
150
30
31.333333
24.666667
-2.422446
2.450241
2.060283
2.065633
6.536695
7.34242
6.168689
-2.422446
2.450241
0.01259
4.26684
5.918844
6.016138
0.864361
0.981656
-2.495159
6
train
H1
H05
150
150
30
30.666667
30.666667
0.592583
-0.514293
-0.794242
-0.796007
0.731647
2.297935
0.83496
-0.796007
0.794242
0.512917
0.633627
0.491914
0.264519
0.727594
0.821218
0.521324
6
train
H0
H05
200
200
30
31
26.5
0.397827
-0.591096
0.454536
0.454722
5.319096
7.519769
5.890962
0.454722
0.591096
0.052577
0.206772
0.017055
0.349485
2.640932
2.674546
0.598737
6
train
H1
H05
200
200
30
29
32
2.03066
-2.008493
-2.022844
-2.038842
4.198752
6.162378
4.277124
-2.038842
2.022844
0.040088
4.156877
4.018122
4.042083
2.264504
2.197116
2.052844
6
train
H0
H05
300
300
30
28
27.666667
-1.070638
1.216268
0.238833
0.239179
6.359535
8.325441
5.494351
0.239179
1.216268
0.039744
0.057207
0.911454
1.479281
1.161167
1.048176
-1.239581
6
train
H1
H05
300
300
30
32.333333
28
-0.688115
0.639691
0.889161
0.889186
0.93857
0.999753
0.974387
-0.688115
0.889161
0.514539
0.790651
0.602748
0.409136
1.040866
1.040834
-0.651787
6
train
H0
H05
500
500
30
32.2
30.6
0.633535
-0.643657
-0.566537
-0.56651
0.418219
0.44399
0.406991
-0.56651
0.643657
0.510298
0.320933
0.409986
0.41433
0.083579
0.086412
0.658373
6
train
H1
H05
500
500
30
32.2
27.4
1.443866
-1.511842
-1.052819
-1.058035
2.799488
2.843359
2.813765
1.443866
1.511842
0.122776
1.119437
1.884811
2.288479
0.039332
0.039785
1.543224
6
train
H0
H05
1,000
1,000
30
32.8
29.2
-0.63942
0.686157
0.48723
0.487619
0.359817
3.07588
0.513859
-0.63942
0.686157
0.380073
0.237772
0.296049
0.470811
0.020937
0.016523
-0.701431
6
train
H1
H05
1,000
1,000
30
28.9
32.3
4.71455
-4.657858
-4.417146
-4.449604
21.938186
22.442103
22.317052
4.71455
4.657858
0.000002
19.798973
21.483155
21.751202
8.79993
8.79768
4.747259