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
8
train
H0
H05
20
20
50
35
35
-0.703
0.639199
0.716842
0.719468
0.55012
3.219983
0.522517
-0.703
0.716842
0.358936
0.517634
0.584616
0.411093
0.38374
0.542843
-0.67284
8
train
H1
H05
20
20
50
40
50
0.712577
-0.65961
-0.724685
-0.716588
0.524615
0.974309
0.518593
0.712577
0.724685
0.488036
0.513498
0.514249
0.433135
0.162145
0.201524
0.693435
8
train
H0
H05
30
30
50
33.333333
46.666667
-0.453518
0.482504
0.25812
0.259006
0.576711
1.004801
0.51385
-0.453518
0.482504
0.603834
0.067084
0.198492
0.23401
0.00433
0.000173
-0.518895
8
train
H1
H05
30
30
50
43.333333
56.666667
1.173563
-1.20057
-1.020105
-1.005321
1.722399
2.893531
1.654654
-1.005321
1.20057
0.215231
1.01067
1.435462
1.437416
0.111504
0.21779
1.23931
8
train
H0
H05
50
50
50
44
50
0.148271
-0.368129
0.207882
0.208805
1.721234
1.79319
1.764239
0.208805
0.368129
0.413905
0.0436
0.019927
0.135397
0.995946
0.953649
0.386326
8
train
H1
H05
50
50
50
60
46
0.830874
-1.056609
-0.510577
-0.530629
2.332232
2.316793
2.344567
-0.530629
1.056609
0.256311
0.281568
0.75587
1.129432
0.18291
0.160131
1.135154
8
train
H0
H05
75
75
50
60
42.666667
-2.113081
1.971811
2.202646
2.204112
4.89963
5.717586
4.887851
2.204112
2.202646
0.041811
4.85811
4.248927
3.892452
4.246397
4.155012
-2.035393
8
train
H1
H05
75
75
50
40
41.333333
1.789551
-1.794962
-1.612007
-1.629995
3.303639
3.429419
3.329416
1.789551
1.794962
0.065093
2.656884
3.110176
3.244247
0.735958
0.739903
1.844619
8
train
H0
H05
100
100
50
58
47
-2.010609
2.02692
1.770093
1.771484
4.564092
4.627402
4.619435
-2.010609
2.02692
0.035967
3.138156
3.707294
4.110823
0.572509
0.623485
-2.0973
8
train
H1
H05
100
100
50
51
51
1.244935
-1.238027
-1.187915
-1.200127
1.548245
2.241174
1.570526
1.244935
1.238027
0.197231
1.440305
1.484819
1.539155
0.525135
0.535755
1.28948
8
train
H0
H05
150
150
50
54.666667
52.666667
0.275502
-0.537009
0.08046
0.080283
2.352106
2.862232
2.449632
0.080283
0.537009
0.293812
0.006445
0.082457
0.288523
0.928718
0.85922
0.553372
8
train
H1
H05
150
150
50
48
54.666667
2.043405
-1.887454
-2.188449
-2.197866
5.013912
6.053944
4.974404
-2.197866
2.188449
0.04904
4.830616
4.027056
3.577767
3.983412
3.703296
1.968246
8
train
H0
H05
200
200
50
49.5
50.5
0.526564
-0.601729
-0.40277
-0.402507
0.56582
2.910126
0.481768
-0.402507
0.601729
0.405691
0.162012
0.347026
0.362005
0.000198
0.000241
0.623714
8
train
H1
H05
200
200
50
45.5
54
3.639027
-3.555133
-3.526642
-3.623385
13.490329
13.630774
13.522601
-3.623385
3.555133
0.000231
13.128921
13.032858
12.736029
7.249574
7.379419
3.6822
8
train
H0
H05
300
300
50
49.666667
50.333333
-0.47565
0.570998
0.338318
0.338339
0.494372
0.571183
0.475004
0.338339
0.570998
0.551915
0.114473
0.261863
0.326087
0
0.000318
-0.594894
8
train
H1
H05
300
300
50
48.333333
45.333333
2.094086
-2.27204
-1.621316
-1.643306
6.685429
7.682792
6.369978
-1.643306
2.27204
0.018603
2.700453
4.577535
5.179779
0.138444
0.177172
2.353389
8
train
H0
H05
500
500
50
50.6
47
-0.624492
0.449297
0.850423
0.849962
1.18795
3.558599
1.307545
0.849962
0.850423
0.313241
0.722436
0.454782
0.20182
1.368641
1.408417
-0.465945
8
train
H1
H05
500
500
50
50.2
49.4
2.443075
-2.413086
-2.308898
-2.333189
5.958937
7.416463
6.052921
-2.333189
2.413086
0.011846
5.443769
5.685856
5.846845
2.289964
2.294542
2.516688
8
train
H0
H05
1,000
1,000
50
51.1
49.8
-0.515892
0.420323
0.622999
0.622827
0.49669
0.529215
0.507319
0.622827
0.622999
0.662674
0.387914
0.276014
0.176649
0.551248
0.543668
-0.436225
8
train
H1
H05
1,000
1,000
50
54.3
50.1
1.996744
-2.306194
-1.528612
-1.541763
6.304972
8.913593
6.683831
1.996744
2.306194
0.015871
2.377033
3.970991
5.331625
0.017033
0.016875
2.411862
8
train
H0
H06
20
20
0
0
0
1.000853
-1.000853
-0.903401
-0.889207
0.878629
1.632777
0.999631
1.000853
1.000853
0.310772
0.790689
0.862564
0.999452
0.200401
0.163543
1.013604
8
train
H1
H06
20
20
0
0
0
1.325454
-1.325454
-1.025362
-1.013091
1.735908
2.744841
1.887068
1.325454
1.325454
0.179486
1.026353
1.501425
1.771302
0.155961
0.14416
1.34234
8
train
H0
H06
30
30
0
0
0
-0.251335
0.251335
-0.043824
-0.042964
0.387697
0.414638
0.36371
-0.042964
0.251335
0.799916
0.001846
0.023047
0.062853
0.079755
0.052226
-0.253456
8
train
H1
H06
30
30
0
0
0
0.413964
-0.413964
-0.006467
-0.00635
0.716913
0.703881
0.725475
0.413964
0.413964
0.676344
0.00004
0.070761
0.170444
0.244728
0.205566
0.417457
8
train
H0
H06
50
50
0
0
0
0.420523
-0.420523
0.805676
0.811598
5.551177
6.499243
6.676027
0.420523
0.805676
0.035507
0.658691
0.018353
0.177197
3.716664
3.692238
0.422642
8
train
H1
H06
50
50
0
0
0
0.813471
-0.813471
-1.046553
-1.048438
1.311627
3.009027
1.159323
0.813471
1.046553
0.390235
1.099223
0.744561
0.660265
0.935802
0.826902
0.817569
8
train
H0
H06
75
75
0
0
0
0.291301
-0.291301
-0.096155
-0.095159
0.054777
0.993543
0.188556
0.291301
0.291301
0.77157
0.009055
0.026039
0.084683
0.028504
0.049593
0.290322
8
train
H1
H06
75
75
0
0
0
2.587884
-2.587884
-2.345046
-2.386152
6.378707
6.466441
6.79853
2.587884
2.587884
0.009903
5.693722
6.300166
6.762639
2.404349
2.444992
2.579185
8
train
H0
H06
100
100
0
0
0
1.417166
-1.417166
-0.301441
-0.304506
7.572007
9.569151
5.985183
-0.304506
1.417166
0.022607
0.092724
1.252348
2.01391
0.723738
0.601697
1.420722
8
train
H1
H06
100
100
0
0
0
2.445832
-2.445832
-1.835846
-1.838843
5.388614
7.987059
6.409652
2.445832
2.445832
0.014208
3.381343
4.809991
6.022645
0.572553
0.530786
2.45197
8
train
H0
H06
150
150
0
0
0
-2.254912
2.254912
2.122032
2.140125
4.75445
9.750676
5.213493
-2.254912
2.254912
0.020809
4.580133
4.749576
5.104034
2.081351
1.969744
-2.258679
8
train
H1
H06
150
150
0
0
0
1.5015
-1.5015
-0.154145
-0.154062
6.807635
6.873446
7.833282
1.5015
1.5015
0.019908
0.023735
0.949109
2.258724
1.487173
1.416026
1.504008
8
train
H0
H06
200
200
0
0
0
-0.197207
0.197207
-1.158296
-1.172217
8.990051
9.758697
8.109503
-0.197207
1.158296
0.01734
1.374093
0.087565
0.038887
5.403921
5.233946
-0.197454
8
train
H1
H06
200
200
0
0
0
2.446064
-2.446064
-1.991553
-1.999469
6.386455
6.893427
6.078477
2.446064
2.446064
0.01432
3.997878
5.618595
6.002208
1.090892
1.243054
2.449127
8
train
H0
H06
300
300
0
0
0
0.6467
-0.6467
-1.492113
-1.496029
3.6573
3.75386
4.029585
-1.496029
1.492113
0.133348
2.238103
1.057053
0.418147
3.785991
3.756562
0.647239
8
train
H1
H06
300
300
0
0
0
3.976285
-3.976285
-3.347057
-3.384974
13.931419
15.700867
15.966714
3.976285
3.976285
0.000069
11.458051
13.733125
15.920353
3.764887
3.755564
3.979602
8
train
H0
H06
500
500
0
0
0
-1.468696
1.468696
1.035582
1.033811
2.175827
2.709522
2.388644
-1.468696
1.468696
0.141716
1.068766
1.773443
2.157493
0.102143
0.094842
-1.469431
8
train
H1
H06
500
500
0
0
0
3.184401
-3.184401
-1.757815
-1.759148
11.284872
10.625127
14.299358
3.184401
3.184401
0.000785
3.094603
6.705571
10.171593
0.004603
0.001416
3.185994
8
train
H0
H06
1,000
1,000
0
0
0
1.925708
-1.925708
-0.83219
-0.833283
8.156567
9.449651
6.566179
-0.833283
1.925708
0.023873
0.694361
2.774549
3.710028
0.206215
0.18119
1.92619
8
train
H1
H06
1,000
1,000
0
0
0
4.533046
-4.533046
-2.190226
-2.193467
28.632716
27.151048
32.872689
4.533046
4.533046
0
4.811297
13.460027
20.613684
0.361568
0.333622
4.53418
8
train
H0
H06
20
20
10
5
20
2.476011
-2.436474
-2.36226
-2.460303
6.269584
10.842156
6.427434
2.476011
2.436474
0.012611
6.053093
6.063987
6.121336
3.138885
2.983662
2.479347
8
train
H1
H06
20
20
10
5
10
0.844991
-0.891485
-0.494948
-0.493183
0.659819
8.148008
1.137153
0.844991
0.891485
0.04305
0.243229
0.411771
0.795958
0.005017
0.035798
0.911884
8
train
H0
H06
30
30
10
10
6.666667
-0.987131
0.939774
1.675023
1.726535
4.482247
9.874678
5.237975
1.726535
1.675023
0.019662
2.980924
1.867587
0.888036
5.242933
5.667164
-0.964039
8
train
H1
H06
30
30
10
10
16.666667
1.026626
-1.020303
-0.8631
-0.854536
1.114714
1.16305
1.078551
1.026626
1.020303
0.297538
0.730231
0.969563
1.038008
0.130569
0.163738
1.041728
8
train
H0
H06
50
50
10
2
10
-1.711035
1.72622
0.83657
0.840763
5.420756
5.623209
5.031828
-1.711035
1.72622
0.07847
0.706882
2.23168
3.020468
0.256092
0.167692
-1.759634
8
train
H1
H06
50
50
10
24
22
1.058011
-1.070972
-0.873506
-0.873309
1.315535
1.751046
1.189507
1.058011
1.070972
0.269526
0.762669
1.128169
1.149274
0.133113
0.169723
1.104156
8
train
H0
H06
75
75
10
10.666667
10.666667
0.838019
-0.813293
-1.278115
-1.296636
2.463307
2.675103
2.368536
-1.296636
1.278115
0.30597
1.681266
1.020871
0.660505
2.211521
2.149586
0.818211
8
train
H1
H06
75
75
10
13.333333
16
0.26284
-0.252481
-0.185248
-0.183331
0.143421
0.672673
0.082034
0.26284
0.252481
0.799607
0.03361
0.069591
0.063594
0.000228
0.00174
0.253856
8
train
H0
H06
100
100
10
8
13
0.94783
-0.942497
-0.877011
-0.872019
1.087345
2.539854
0.900243
-0.872019
0.942497
0.34043
0.760417
1.051756
0.887483
0.295951
0.401075
0.953316
8
train
H1
H06
100
100
10
12
9
0.210673
-0.190992
-0.535535
-0.535383
0.698348
0.775759
0.681399
0.210673
0.535535
0.711272
0.286635
0.103203
0.036426
0.548026
0.552983
0.191852
8
train
H0
H06
150
150
10
12.666667
12
-0.92199
0.878737
1.277514
1.283067
1.935295
1.909975
1.956451
1.283067
1.277514
0.375978
1.646261
1.143108
0.772077
1.996526
1.957017
-0.884451
8
train
H1
H06
150
150
10
13.333333
8
0.192436
-0.21562
0.500667
0.499032
1.902667
1.692449
2.366312
0.192436
0.500667
0.306311
0.249033
0.016022
0.046515
1.42399
1.36564
0.216181
8
train
H0
H06
200
200
10
9.5
11
-1.004018
0.950568
1.588692
1.602191
3.210047
4.904593
3.56811
1.602191
1.588692
0.167956
2.567016
1.654501
0.903935
3.612118
3.652987
-0.957069
8
train
H1
H06
200
200
10
11.5
7.5
2.482989
-2.557464
-0.796874
-0.798881
16.119857
15.511669
16.506105
2.482989
2.557464
0.00026
0.638211
3.746066
6.575343
1.405411
1.284303
2.571093
8
train
H0
H06
300
300
10
9.333333
8.666667
0.558035
-0.568513
-0.342902
-0.342201
0.363507
0.425792
0.426143
0.558035
0.568513
0.566969
0.117102
0.229128
0.323054
0.000178
0.000063
0.572521
8
train
H1
H06
300
300
10
8.333333
8.666667
4.729606
-4.756304
-3.364177
-3.397528
26.363476
25.812672
26.017124
4.729606
4.756304
0.000002
11.5432
19.407953
22.854745
1.451398
1.6153
4.778839
8
train
H0
H06
500
500
10
9.6
10.2
-0.14998
0.142377
0.247405
0.247052
0.076725
0.071345
0.084916
0.247052
0.247405
0.885934
0.061035
0.039345
0.020264
0.097811
0.094784
-0.143451
8
train
H1
H06
500
500
10
11
9
3.219152
-3.292119
-1.536104
-1.541136
19.595617
18.940033
19.095437
3.219152
3.292119
0.000071
2.375099
7.504033
10.86958
0.397832
0.356815
3.317423
8
train
H0
H06
1,000
1,000
10
9.1
9
-0.365216
0.400691
-0.350618
-0.350576
2.151195
2.492265
2.305885
-0.365216
0.400691
0.315706
0.122903
0.014473
0.160536
1.09756
1.114741
-0.403019
8
train
H1
H06
1,000
1,000
10
9.6
9.4
5.690301
-5.769186
-3.394984
-3.403793
41.348854
43.908501
46.291117
5.690301
5.769186
0
11.585806
23.8994
33.438856
0.023827
0.024634
5.803189
8
train
H0
H06
20
20
20
15
50
1.41358
-1.369151
-1.485336
-1.473062
2.170099
2.288528
2.169926
-1.473062
1.485336
0.153939
2.169912
2.082488
1.866825
1.300648
1.328372
1.425755
8
train
H1
H06
20
20
20
35
20
-1.447038
1.463569
1.399619
1.388533
2.054505
3.244574
2.107609
-1.447038
1.463569
0.126484
1.928023
2.098703
2.151434
1.045747
1.020593
-1.528114
8
train
H0
H06
30
30
20
23.333333
20
-0.551384
0.54046
0.699204
0.691368
0.522803
0.515666
0.525471
-0.551384
0.699204
0.57069
0.47799
0.373548
0.291404
0.663844
0.603079
-0.567036
8
train
H1
H06
30
30
20
23.333333
30
1.648844
-1.649968
-1.549619
-1.564838
2.800085
3.009768
2.749589
1.648844
1.649968
0.091826
2.448719
2.815789
2.74852
0.990575
1.056073
1.685845
8
train
H0
H06
50
50
20
26
18
-0.459089
0.355901
1.140474
1.139577
3.660752
3.645883
3.835415
1.139577
1.140474
0.146943
1.298635
0.506244
0.126554
3.491938
3.39476
-0.376618
8
train
H1
H06
50
50
20
12
16
1.620273
-1.596558
-1.748611
-1.760505
3.104893
3.980222
3.101908
-1.760505
1.748611
0.104437
3.099377
2.746024
2.558892
1.99925
1.895948
1.623713
8
train
H0
H06
75
75
20
20
20
0.629536
-0.683466
-0.483835
-0.481429
0.274415
4.446777
0.453039
0.629536
0.683466
0.217087
0.231774
0.279911
0.466898
0.019399
0.001893
0.689
8
train
H1
H06
75
75
20
21.333333
16
0.288567
-0.299265
0.126007
0.125666
0.596965
4.812491
1.096767
0.288567
0.299265
0.186054
0.015792
0.000487
0.089642
0.44963
0.573993
0.298484
8
train
H0
H06
100
100
20
20
23
1.022911
-1.021023
-0.863379
-0.859768
1.106204
1.15052
1.079511
-0.859768
1.021023
0.298162
0.739202
1.010427
1.04189
0.146219
0.145001
1.040383
8
train
H1
H06
100
100
20
22
20
2.293712
-2.375721
-1.648692
-1.663983
6.673233
6.777011
6.865145
2.293712
2.375721
0.01576
2.76884
4.560686
5.678726
0.199204
0.227007
2.414426
8
train
H0
H06
150
150
20
18
18
-1.608437
1.668741
1.065094
1.063145
3.42245
3.182158
3.571976
-1.608437
1.668741
0.091575
1.130276
2.108658
2.790752
0.004637
0.020009
-1.687149
8
train
H1
H06
150
150
20
16.666667
24.666667
2.497785
-2.458679
-2.538186
-2.556562
6.538952
13.743402
6.677035
2.497785
2.538186
0.003276
6.536008
5.922199
6.068981
3.940121
3.734919
2.495447
8
train
H0
H06
200
200
20
22.5
19.5
-1.154545
1.166826
0.855054
0.852951
1.657553
1.691641
1.599921
-1.154545
1.166826
0.236692
0.727526
1.181278
1.360713
0.067102
0.084877
-1.183295
8
train
H1
H06
200
200
20
16.5
23
3.918819
-3.870718
-3.691968
-3.756629
15.909855
16.119752
15.629404
-3.756629
3.870718
0.000082
14.112263
15.846358
15.092703
6.967653
7.202963
3.938239
8
train
H0
H06
300
300
20
20.666667
20.333333
0.374999
-0.339465
-0.641997
-0.641735
0.754699
1.006913
0.696957
-0.641735
0.641997
0.705761
0.411824
0.20256
0.115193
0.625698
0.601187
0.344642
8
train
H1
H06
300
300
20
15.333333
23
5.020679
-5.05411
-4.216069
-4.266706
25.618442
25.262758
26.177201
5.020679
5.05411
0
18.204779
23.603886
25.746325
5.412768
5.632454
5.125568
8
train
H0
H06
500
500
20
22
19.8
-0.572233
0.564448
0.546685
0.545803
0.298762
1.067426
0.330353
0.545803
0.564448
0.566672
0.297901
0.258147
0.318517
0.155234
0.141518
-0.57296
8
train
H1
H06
500
500
20
18.8
22.4
3.17174
-3.167536
-2.91472
-2.923544
9.340983
12.84464
10.092666
3.17174
3.167536
0.001268
8.547111
9.119688
10.059347
3.463303
3.376818
3.223085
8
train
H0
H06
1,000
1,000
20
20.8
20.2
0.697261
-0.71371
-0.642032
-0.642084
0.41267
5.268486
0.486395
0.697261
0.71371
0.15316
0.412272
0.379339
0.50935
0.156473
0.141508
0.723908
8
train
H1
H06
1,000
1,000
20
21.3
20.3
5.786247
-5.983877
-3.987624
-4.015701
40.892764
45.088339
44.230701
5.786247
5.983877
0
16.125857
27.811954
35.991246
0.77927
0.785185
6.089601
8
train
H0
H06
20
20
30
25
10
-0.25705
0.2498
0.335673
0.330807
0.161832
1.111745
0.128784
-0.25705
0.335673
0.77424
0.109433
0.065229
0.061938
0.220032
0.193806
-0.263938
8
train
H1
H06
20
20
30
30
15
2.495454
-2.618437
-1.699342
-1.876249
9.113532
10.578891
9.448481
2.495454
2.618437
0.006804
3.520312
5.925977
7.487867
0.281204
0.344292
2.706276
8
train
H0
H06
30
30
30
13.333333
23.333333
1.213676
-1.211727
-1.202634
-1.190506
1.52829
1.681943
1.514797
-1.190506
1.211727
0.211892
1.417303
1.549863
1.473776
0.609902
0.764872
1.248381
8
train
H1
H06
30
30
30
20
33.333333
1.996301
-2.076632
-1.323277
-1.327529
7.068171
7.294036
7.184297
1.996301
2.076632
0.027539
1.762334
3.208884
4.376538
0.003505
0.008652
2.09754
8
train
H0
H06
50
50
30
32
40
0.716255
-0.758767
-0.491097
-0.491051
0.815817
3.190557
0.948498
-0.491051
0.758767
0.363168
0.241131
0.37924
0.574489
0.011286
0.016278
0.776924
8
train
H1
H06
50
50
30
36
40
2.109145
-2.186183
-1.72441
-1.765344
5.318063
7.54997
5.538628
2.109145
2.186183
0.025054
3.116438
4.088284
4.83058
0.456616
0.454476
2.240562
8
train
H0
H06
75
75
30
21.333333
30.666667
1.712315
-1.714222
-1.680215
-1.682339
2.908944
4.510442
3.002031
1.712315
1.714222
0.081199
2.830266
2.853447
2.946421
1.341026
1.292361
1.743772
8
train
H1
H06
75
75
30
34.666667
30.666667
1.917924
-2.000663
-1.510939
-1.534382
4.696245
4.660691
4.657727
1.917924
2.000663
0.040749
2.354329
3.461675
4.051465
0.258873
0.285686
2.046072
8
train
H0
H06
100
100
30
31
30
-0.980234
0.955113
0.877398
0.880204
1.11581
3.795673
0.972863
0.880204
0.955113
0.28439
0.774759
1.012323
0.912409
0.245248
0.387055
-0.97403
8
train
H1
H06
100
100
30
24
34
3.195515
-3.149205
-3.030502
-3.106033
10.163658
12.427395
10.382753
-3.106033
3.149205
0.001288
9.647443
9.886002
10.010274
4.924783
5.011892
3.218619
8
train
H0
H06
150
150
30
36.666667
30
-1.904703
1.927243
1.764706
1.766308
3.527148
5.139268
3.650207
-1.904703
1.927243
0.048355
3.119843
3.474957
3.721731
1.248783
1.120649
-1.974235
8
train
H1
H06
150
150
30
32
30.666667
3.131671
-3.281179
-2.378623
-2.419802
12.023602
13.856674
12.605966
3.131671
3.281179
0.000744
5.85544
8.909045
10.890627
0.615301
0.615982
3.372962
8
train
H0
H06
200
200
30
30
26.5
-0.303593
0.211971
0.643494
0.643618
0.992328
1.671849
1.113681
0.643618
0.643494
0.573017
0.414245
0.175877
0.044898
1.071284
1.098463
-0.216296
8
train
H1
H06
200
200
30
26.5
28
3.301725
-3.321057
-3.000746
-3.061161
10.659828
13.560791
11.05045
3.301725
3.321057
0.000648
9.370705
10.468631
11.132767
3.79839
3.818894
3.410487
8
train
H0
H06
300
300
30
29.666667
28
-0.778208
0.729722
0.888505
0.887534
0.804948
0.809217
0.807448
-0.778208
0.888505
0.455747
0.787717
0.656936
0.532432
0.749218
0.741236
-0.745869
8
train
H1
H06
300
300
30
25
37
5.531622
-5.599251
-4.948562
-5.03517
30.163002
35.125882
31.318773
5.531622
5.599251
0
25.352939
29.152543
31.661031
9.797598
9.858715
5.740311
8
train
H0
H06
500
500
30
29.8
30
-0.338224
0.41318
0.021866
0.021857
0.569598
3.650667
0.843585
-0.338224
0.41318
0.30174
0.000478
0.033613
0.170675
0.196967
0.226061
-0.420881
8
train
H1
H06
500
500
30
30.4
32.4
3.855316
-4.152355
-2.380742
-2.384365
25.700727
25.968437
27.05426
3.855316
4.152355
0.000001
5.685199
12.381445
17.320453
0.064951
0.045871
4.246471
8
train
H0
H06
1,000
1,000
30
29.7
27.6
-0.45817
0.32053
0.993514
0.993556
2.688621
2.631383
2.695718
0.993556
0.993514
0.259796
0.987153
0.345903
0.10273
2.411816
2.397877
-0.326794
8
train
H1
H06
1,000
1,000
30
31
31.2
4.680353
-4.865138
-3.552643
-3.575996
25.28395
30.417452
27.476956
4.680353
4.865138
0.000001
12.78775
18.817525
23.753353
1.229221
1.246541
4.99074