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
H02
20
20
10
10
0
-0.487539
0.534775
-0.114383
-0.112863
1.806429
1.810666
1.751139
-0.487539
0.534775
0.416625
0.012738
0.073331
0.284084
0.473068
0.371712
-0.550935
7,649
train
H1
H02
20
20
10
5
10
-0.222112
0.228847
-0.196166
-0.191241
0.787452
0.805821
0.762647
-0.222112
0.228847
0.682957
0.036573
0.00633
0.052234
0.301132
0.244026
-0.236588
7,649
train
H0
H02
30
30
10
20
13.333333
1.96853
-1.913265
-2.410476
-2.722331
10.874094
10.905472
10.824037
-2.722331
2.410476
0.004463
7.411085
5.302735
3.707503
10.22539
10.181761
2.01049
7,649
train
H1
H02
30
30
10
3.333333
13.333333
1.467963
-1.495579
-1.613683
-1.623423
2.675823
5.094837
2.635601
1.467963
1.613683
0.120849
2.635501
2.284783
2.231568
1.723661
1.581246
1.551222
7,649
train
H0
H02
50
50
10
12
8
-0.286787
0.264618
0.719327
0.712433
1.222961
1.71783
1.070325
-0.286787
0.719327
0.585574
0.507561
0.178728
0.069704
1.187558
1.065346
-0.273317
7,649
train
H1
H02
50
50
10
12
14
0.893531
-0.934717
-0.763141
-0.759743
0.741409
0.74227
0.806367
0.893531
0.934717
0.33488
0.577209
0.739661
0.872236
0.117162
0.146145
0.964331
7,649
train
H0
H02
75
75
10
16
12
-0.287411
0.247576
0.558816
0.552887
0.553151
0.669787
0.506126
0.552887
0.558816
0.776419
0.305684
0.131956
0.06112
0.611719
0.557894
-0.253529
7,649
train
H1
H02
75
75
10
6.666667
9.333333
0.259973
-0.266803
-0.409699
-0.408467
0.425327
3.347698
0.217289
0.259973
0.409699
0.341059
0.166845
0.054844
0.070998
0.170974
0.114272
0.271508
7,649
train
H0
H02
100
100
10
8
10
-0.188293
0.174963
0.401945
0.398857
0.29633
0.322577
0.280932
0.398857
0.401945
0.858555
0.159087
0.065853
0.030553
0.337098
0.311106
-0.178214
7,649
train
H1
H02
100
100
10
13
11
2.569038
-2.58958
-2.151978
-2.189015
6.861573
7.033673
6.732841
2.569038
2.58958
0.007871
4.791786
6.281359
6.759003
1.398969
1.655026
2.657562
7,649
train
H0
H02
150
150
10
10
14.666667
-0.160369
0.163906
-0.13282
-0.132569
0.414064
0.45058
0.382403
-0.160369
0.163906
0.825966
0.017575
0.005782
0.026871
0.15319
0.142131
-0.167536
7,649
train
H1
H02
150
150
10
8
11.333333
1.032948
-1.084233
-0.50162
-0.500984
0.953494
7.593826
1.878059
1.032948
1.084233
0.055196
0.250985
0.557583
1.174653
0.052857
0.083211
1.105652
7,649
train
H0
H02
200
200
10
7.5
7
-0.879269
0.836945
1.12057
1.119193
1.259582
1.295369
1.300818
-0.879269
1.12057
0.395454
1.252594
1.050585
0.700853
1.197764
1.205227
-0.849768
7,649
train
H1
H02
200
200
10
9
13
3.950821
-4.063235
-2.972474
-2.998778
13.593578
22.794341
17.086829
3.950821
4.063235
0.000032
8.992672
12.644098
16.695514
1.552642
1.469416
4.157543
7,649
train
H0
H02
300
300
10
6.666667
9.666667
-1.769302
1.794257
1.153511
1.152026
3.555465
4.05607
3.834494
1.152026
1.794257
0.067717
1.327164
2.531214
3.224537
0.027984
0.025336
-1.826886
7,649
train
H1
H02
300
300
10
9
9.333333
1.375769
-1.507976
-0.461591
-0.463174
1.841243
17.152416
4.438707
1.375769
1.507976
0.000658
0.21453
0.805876
2.278186
0.381635
0.450839
1.540542
7,649
train
H0
H02
500
500
10
10.8
10.2
0.97895
-0.926854
-1.338877
-1.339514
1.834925
3.641987
1.977851
-1.339514
1.338877
0.302808
1.794297
1.385367
0.858913
1.823149
1.956025
0.947308
7,649
train
H1
H02
500
500
10
10.6
11
2.897668
-3.0601
-2.204335
-2.224214
5.687071
49.378135
8.989511
2.897668
3.0601
0
4.947129
6.038027
9.395604
0.892795
0.811031
3.140891
7,649
train
H0
H02
1,000
1,000
10
11.1
9.5
-2.917864
2.926438
2.71852
2.722627
8.011681
10.963552
8.629761
-2.917864
2.926438
0.002799
7.4127
8.201515
8.5728
3.064543
3.005273
-2.988977
7,649
train
H1
H02
1,000
1,000
10
8.9
9.9
4.275089
-4.398218
-3.240263
-3.253238
14.663273
34.991072
19.530859
4.275089
4.398218
0
10.583556
14.34541
19.399919
1.80064
1.732507
4.490881
7,649
train
H0
H02
20
20
20
5
10
-0.619938
0.607243
0.268513
0.261926
0.873839
1.117987
0.754817
-0.619938
0.607243
0.515646
0.068605
0.264931
0.384314
0.012004
0.000011
-0.650071
7,649
train
H1
H02
20
20
20
25
5
-1.219239
1.255339
1.077067
1.054254
1.627681
2.287126
1.49074
-1.219239
1.255339
0.201688
1.111452
1.557014
1.570985
0.375169
0.577977
-1.276758
7,649
train
H0
H02
30
30
20
26.666667
16.666667
-0.829156
0.950665
0.832818
0.822878
0.678956
3.924705
0.715265
-0.829156
0.950665
0.26971
0.677128
0.69685
0.914603
0.465572
0.349801
-1.021626
7,649
train
H1
H02
30
30
20
23.333333
10
1.361978
-1.510493
-1.001588
-1.011819
1.675305
5.939998
2.216609
1.361978
1.510493
0.114566
1.023777
1.552102
2.324121
0.059972
0.031335
1.566789
7,649
train
H0
H02
50
50
20
30
16
-0.594178
0.621597
0.358611
0.358056
0.438201
1.06916
0.560388
-0.594178
0.621597
0.513255
0.128204
0.243831
0.385267
0.000188
0.000006
-0.653777
7,649
train
H1
H02
50
50
20
26
32
0.151926
-0.568212
0.77677
0.786659
4.408321
11.068408
5.734667
0.786659
0.77677
0.011362
0.618833
0.013604
0.318274
3.428091
3.629304
0.59899
7,649
train
H0
H02
75
75
20
29.333333
16
-0.403989
0.465116
0.689263
0.684792
1.042012
2.190841
0.695881
0.684792
0.689263
0.533755
0.46894
0.182887
0.215919
0.709577
0.585548
-0.491627
7,649
train
H1
H02
75
75
20
21.333333
33.333333
2.694953
-2.861717
-2.264108
-2.276512
6.912798
7.315061
7.562839
2.694953
2.861717
0.002652
5.182508
6.771478
8.273157
1.315373
1.384327
3.005389
7,649
train
H0
H02
100
100
20
17
20
0.798708
-0.761564
-1.017019
-1.011716
1.081454
1.20255
1.075816
-1.011716
1.017019
0.427425
1.023568
0.776782
0.579952
0.865159
0.801368
0.793606
7,649
train
H1
H02
100
100
20
16
20
1.175072
-1.297304
-0.848136
-0.849501
0.977383
9.040658
1.613278
1.175072
1.297304
0.028755
0.721653
0.975105
1.684164
0.050781
0.026271
1.355916
7,649
train
H0
H02
150
150
20
18.666667
22
2.126421
-2.122926
-2.106912
-2.125973
4.582039
8.69143
4.767777
2.126421
2.122926
0.026788
4.519762
4.554937
4.511534
2.307158
2.199367
2.214598
7,649
train
H1
H02
150
150
20
26
18
0.294086
-0.472558
0.017621
0.017556
0.058506
7.206093
0.500268
0.294086
0.472558
0.065611
0.000308
0.011909
0.223725
0.162358
0.255404
0.495924
7,649
train
H0
H02
200
200
20
20
20
0.008089
0.157741
-0.932621
-0.934151
4.212706
3.932166
4.487053
-0.934151
0.932621
0.106084
0.872638
0.081292
0.02503
3.154349
3.052818
-0.162916
7,649
train
H1
H02
200
200
20
20
18
2.295221
-2.559101
-0.702832
-0.702761
11.469969
14.615714
14.553625
2.295221
2.559101
0.000691
0.493872
3.129684
6.593439
1.517913
1.523476
2.667857
7,649
train
H0
H02
300
300
20
23
21
-0.808261
0.867072
0.266193
0.266598
1.956584
2.054461
1.754095
0.266598
0.867072
0.365217
0.071074
0.496882
0.751582
0.208363
0.198061
-0.905469
7,649
train
H1
H02
300
300
20
16.333333
18
1.633175
-1.832243
-0.462133
-0.461943
4.596917
13.444888
7.401929
1.633175
1.832243
0.003767
0.213392
1.390087
3.362482
0.915128
1.034046
1.908684
7,649
train
H0
H02
500
500
20
19.2
21.4
-0.678759
0.613183
0.735049
0.734937
0.619182
1.687626
0.542353
-0.678759
0.735049
0.523668
0.540132
0.572405
0.375973
0.378149
0.407091
-0.637702
7,649
train
H1
H02
500
500
20
20.2
19.6
3.188605
-3.439415
-2.551306
-2.575056
7.920015
29.666445
10.66387
3.188605
3.439415
0.000002
6.630911
8.412091
11.892171
1.435246
1.364546
3.58251
7,649
train
H0
H02
1,000
1,000
20
22.5
19.6
-0.353004
0.24844
1.237739
1.240722
5.591197
8.721964
4.588247
1.240722
1.237739
0.033225
1.539391
0.307981
0.061735
3.942875
3.832923
-0.259
7,649
train
H1
H02
1,000
1,000
20
17.7
18.7
4.519722
-4.904672
-2.64525
-2.652129
19.747426
43.096975
29.886372
4.519722
4.904672
0
7.033786
14.21974
24.141548
0.003324
0.007945
5.101387
7,649
train
H0
H02
20
20
30
30
40
0.537792
-0.733248
0.154165
0.15191
3.593161
3.901111
3.38981
0.15191
0.733248
0.183617
0.023077
0.179189
0.531738
1.283308
1.038749
0.804466
7,649
train
H1
H02
20
20
30
40
50
-0.438198
0.172092
0.375944
0.374454
0.247975
1.159699
0.199171
-0.438198
0.375944
0.762685
0.140216
0.142158
0.046361
0.066831
0.121975
-0.201225
7,649
train
H0
H02
30
30
30
26.666667
26.666667
0.453592
-0.444723
-0.28831
-0.28821
0.38792
0.598814
0.334515
0.453592
0.444723
0.644552
0.083065
0.160715
0.197329
0.0124
0.008649
0.461344
7,649
train
H1
H02
30
30
30
23.333333
30
2.748724
-2.846045
-2.329732
-2.385467
7.427785
9.967374
7.921797
-2.385467
2.846045
0.001813
5.690453
7.292553
8.152382
1.588695
1.58915
3.119217
7,649
train
H0
H02
50
50
30
26
36
0.885546
-0.795064
-0.977107
-0.965112
0.938545
1.279741
0.931553
-0.965112
0.977107
0.402248
0.93144
0.860145
0.609312
0.566128
0.610706
0.837613
7,649
train
H1
H02
50
50
30
38
26
0.422608
-0.639078
0.051282
0.050917
0.734661
3.74266
1.206949
0.422608
0.639078
0.290627
0.002593
0.076319
0.414265
0.491073
0.658384
0.707373
7,649
train
H0
H02
75
75
30
33.333333
25.333333
-0.880304
0.881293
1.026902
1.017974
1.069794
1.136705
1.049846
-0.880304
1.026902
0.34896
1.036271
0.854984
0.78361
0.982052
0.989872
-0.936608
7,649
train
H1
H02
75
75
30
37.333333
37.333333
1.404173
-1.635951
-1.068035
-1.061696
1.873606
5.523105
2.36536
1.404173
1.635951
0.081141
1.127199
1.786012
2.680395
0.055499
0.020966
1.744101
7,649
train
H0
H02
100
100
30
20
25
-0.098309
0.111536
0.281101
0.28102
0.429097
2.891327
0.22147
0.28102
0.281101
0.408686
0.078972
0.014622
0.01242
0.239295
0.17403
-0.116475
7,649
train
H1
H02
100
100
30
25
28
1.01859
-1.159098
-0.86996
-0.867818
0.778365
4.90582
1.052878
1.01859
1.159098
0.178825
0.753109
0.830576
1.341325
0.176593
0.11809
1.236265
7,649
train
H0
H02
150
150
30
32
23.333333
-0.74779
0.672313
0.706493
0.708608
0.785349
6.49858
0.562715
0.708608
0.706493
0.089719
0.502126
0.630722
0.451529
0.245285
0.327152
-0.716945
7,649
train
H1
H02
150
150
30
35.333333
28
0.38466
-0.621988
0.2076
0.206598
1.575819
1.624696
1.950911
0.206598
0.621988
0.377021
0.042683
0.050566
0.387215
0.902069
0.855382
0.671819
7,649
train
H0
H02
200
200
30
30.5
32.5
-0.554421
0.528637
0.638013
0.636405
0.425483
0.619179
0.40835
-0.554421
0.638013
0.575167
0.405011
0.324537
0.279361
0.349359
0.32132
-0.560458
7,649
train
H1
H02
200
200
30
30.5
30
1.579824
-2.021832
-0.6987
-0.701314
2.89167
28.756458
5.820617
-0.701314
2.021832
0.000003
0.491841
1.674218
4.111073
0.328666
0.473602
2.144333
7,649
train
H0
H02
300
300
30
31.333333
29.666667
-0.872553
0.882061
1.324369
1.328427
2.868204
3.995907
2.421223
1.328427
1.324369
0.261906
1.764718
0.922896
0.778299
2.508343
2.410766
-0.936133
7,649
train
H1
H02
300
300
30
28
31.333333
2.538832
-2.913101
-1.6792
-1.681913
6.329501
20.362836
8.776546
2.538832
2.913101
0.000143
2.828832
5.262401
8.525412
0.034654
0.016023
3.10304
7,649
train
H0
H02
500
500
30
28
27.8
0.406644
-0.424404
-0.322386
-0.321692
0.163554
0.340016
0.175831
-0.321692
0.424404
0.653915
0.103486
0.156217
0.179833
0.009716
0.006164
0.448331
7,649
train
H1
H02
500
500
30
32.6
30.4
3.575521
-3.97067
-2.648664
-2.668335
12.904492
19.858394
15.126038
3.575521
3.97067
0.000021
7.120013
11.430613
15.862057
0.641874
0.630161
4.248757
7,649
train
H0
H02
1,000
1,000
30
29.6
29.7
0.752676
-0.847202
-0.388797
-0.388606
0.973018
0.859031
1.046124
0.752676
0.847202
0.369787
0.151015
0.460849
0.717412
0.038273
0.03206
0.896872
7,649
train
H1
H02
1,000
1,000
30
28.7
27
5.305518
-5.914209
-3.261586
-3.272962
32.502696
41.822577
40.786743
5.305518
5.914209
0
10.71228
23.051654
35.207135
0.000903
0.000076
6.297399
7,649
train
H0
H02
20
20
40
55
35
0.337178
-0.496747
-0.094429
-0.094873
0.586959
1.437098
0.666582
0.337178
0.496747
0.590035
0.009001
0.120094
0.249777
0.315418
0.309968
0.538786
7,649
train
H1
H02
20
20
40
25
40
1.038649
-1.093634
-1.237451
-1.215753
1.64465
4.142521
1.54127
-1.215753
1.237451
0.245741
1.478056
1.146547
1.116077
1.137207
0.933606
1.160757
7,649
train
H0
H02
30
30
40
40
23.333333
-0.482282
0.502473
0.222289
0.222402
0.661625
0.693481
0.667742
0.222402
0.502473
0.590112
0.049462
0.161466
0.251288
0.014067
0.011835
-0.538674
7,649
train
H1
H02
30
30
40
40
53.333333
0.457189
-0.67746
-0.288624
-0.286344
0.321142
2.479546
0.438069
0.457189
0.67746
0.452375
0.081993
0.204698
0.442555
0.05001
0.099715
0.751462
7,649
train
H0
H02
50
50
40
26
42
0.644243
-0.469071
-1.152641
-1.143262
2.367187
2.363394
2.379352
-1.143262
1.152641
0.30432
1.307049
0.548781
0.214961
2.059822
1.98134
0.498539
7,649
train
H1
H02
50
50
40
50
46
-0.04756
-0.488971
0.812268
0.808148
3.806395
4.206733
4.238264
0.808148
0.812268
0.120136
0.653104
0.007448
0.222125
3.32602
3.295444
0.534043
7,649
train
H0
H02
75
75
40
38.666667
32
0.066406
-0.027075
0.269847
0.268637
1.029523
3.436943
0.67363
0.268637
0.269847
0.329033
0.072166
0.000002
0.000605
0.507009
0.368869
0.028583
7,649
train
H1
H02
75
75
40
33.333333
36
0.137859
-0.293836
-0.05686
-0.056542
0.004567
2.46522
0.051065
-0.056542
0.293836
0.481609
0.003197
0.008647
0.08033
0.012363
0.047347
0.312004
7,649
train
H0
H02
100
100
40
39
40
-0.713816
0.980524
-0.158833
-0.158658
5.842082
6.389348
5.510945
-0.713816
0.980524
0.063579
0.025172
0.331237
0.969753
2.067654
1.817996
-1.058048
7,649
train
H1
H02
100
100
40
38
43
3.22124
-3.530998
-2.510409
-2.543331
11.232089
17.802896
12.600404
3.22124
3.530998
0.000131
6.468534
9.823548
12.704464
0.788352
0.725344
3.823849
7,649
train
H0
H02
150
150
40
39.333333
36.666667
-0.489354
0.607842
0.734102
0.729676
1.02722
2.67354
0.743185
0.729676
0.734102
0.444743
0.532426
0.271807
0.369178
0.78831
0.659423
-0.650149
7,649
train
H1
H02
150
150
40
40.666667
38.666667
0.6016
-0.98523
0.391652
0.390299
5.633686
6.104659
5.899162
0.390299
0.98523
0.052362
0.152334
0.226484
0.969511
2.665398
2.583018
1.081341
7,649
train
H0
H02
200
200
40
47
34.5
-2.731018
2.723571
2.674317
2.674322
7.386568
9.758565
7.602784
-2.731018
2.723571
0.00314
7.151996
7.360145
7.418578
3.431959
3.30828
-2.953678
7,649
train
H1
H02
200
200
40
44
38
0.779213
-1.255246
-0.267414
-0.266968
1.085584
5.789811
1.898287
0.779213
1.255246
0.122296
0.071272
0.501367
1.576998
0.293044
0.345015
1.387508
7,649
train
H0
H02
300
300
40
39.666667
39.666667
0.09527
-0.213351
0.118024
0.117712
0.18103
2.271167
0.303095
0.117712
0.213351
0.518067
0.013856
0.0029
0.045348
0.18763
0.244444
0.229011
7,649
train
H1
H02
300
300
40
40.666667
47.333333
1.696912
-2.227847
-1.157273
-1.155471
3.084137
8.834049
4.065321
-1.155471
2.227847
0.013625
1.335113
2.80964
4.962449
0.001949
0.000169
2.466988
7,649
train
H0
H02
500
500
40
41.8
44.4
-0.173288
-0.052667
0.896747
0.899242
3.808047
4.772026
3.897875
0.899242
0.896747
0.142425
0.808637
0.07121
0.002758
3.033071
3.119399
0.055792
7,649
train
H1
H02
500
500
40
38.4
38.4
3.62846
-4.440362
-2.579756
-2.598187
12.000208
42.71539
16.699456
3.62846
4.440362
0
6.750573
12.145714
19.85269
0.314489
0.258817
4.842135
7,649
train
H0
H02
1,000
1,000
40
36.2
40.6
0.579539
-0.300598
-1.099155
-1.097996
2.104038
2.613759
2.353255
-1.097996
1.099155
0.308317
1.205595
0.449629
0.090326
2.205208
2.238606
0.324447
7,649
train
H1
H02
1,000
1,000
40
39.9
38.4
6.447982
-7.370683
-4.577352
-4.629403
43.93694
64.539036
53.091905
6.447982
7.370683
0
21.431373
38.246629
54.917202
1.093609
1.046106
8.123048
7,649
train
H0
H02
20
20
50
40
60
0.701373
-0.733712
-0.646241
-0.638281
0.526135
1.215664
0.504826
-0.638281
0.733712
0.426949
0.407402
0.544114
0.507022
0.058857
0.106133
0.794423
7,649
train
H1
H02
20
20
50
40
50
1.162598
-1.367045
-0.657935
-0.635181
2.517656
2.472778
2.523518
1.162598
1.367045
0.123576
0.403455
1.228225
1.793253
0.136511
0.073383
1.539937
7,649
train
H0
H02
30
30
50
50
50
-0.189968
-0.109365
0.231155
0.230274
0.054119
0.395812
0.060833
0.230274
0.231155
0.9326
0.053026
0.019371
0.007266
0.097712
0.125766
0.084574
7,649
train
H1
H02
30
30
50
40
53.333333
0.732542
-0.991225
-0.272376
-0.27384
2.368532
2.793148
2.22005
0.732542
0.991225
0.29782
0.074988
0.49045
0.852916
0.41735
0.318808
1.04112
7,649
train
H0
H02
50
50
50
40
62
2.027539
-1.840935
-1.898729
-1.875132
4.251293
5.752231
4.07759
2.027539
1.898729
0.041224
3.51612
4.037043
3.353845
1.284572
1.661059
2.041272
7,649
train
H1
H02
50
50
50
56
54
0.959578
-1.553734
0.072629
0.071275
8.540304
8.404143
8.739519
0.071275
1.553734
0.012654
0.00508
0.824264
2.237769
2.63985
2.299149
1.730607
7,649
train
H0
H02
75
75
50
49.333333
53.333333
0.200838
-0.059656
-0.394963
-0.393852
0.533534
0.729127
0.564788
-0.393852
0.394963
0.753976
0.155119
0.045236
0.003552
0.348398
0.352111
0.063932
7,649
train
H1
H02
75
75
50
45.333333
44
1.430261
-1.538602
-1.546376
-1.598405
2.718667
5.91096
2.634786
-1.598405
1.546376
0.087398
2.5549
2.275304
2.349338
2.019652
1.941784
1.709285
7,649
train
H0
H02
100
100
50
58
38
-2.893345
2.968355
2.357544
2.348234
9.348702
9.370755
9.266804
-2.893345
2.968355
0.0007
5.514201
8.103146
8.884992
0.475197
0.543469
-3.389505
7,649
train
H1
H02
100
100
50
58
48
0.933926
-1.495569
-0.656688
-0.663858
0.96095
13.504357
1.431024
-0.663858
1.495569
0.003664
0.440707
1.013915
2.268427
0.001166
0.019572
1.66317
7,649
train
H0
H02
150
150
50
57.333333
50.666667
-2.838094
2.995336
2.327789
2.333816
9.342208
9.237716
9.390724
-2.838094
2.995336
0.000869
5.446697
8.162892
9.061184
0.360848
0.426713
-3.32997
7,649
train
H1
H02
150
150
50
51.333333
47.333333
2.798661
-3.322471
-1.960338
-1.992187
8.9069
21.000694
10.815496
2.798661
3.322471
0.000105
3.968808
7.752665
11.211615
0.077019
0.04677
3.811652
7,649
train
H0
H02
200
200
50
51
48
-0.483636
0.349021
0.520593
0.518844
0.290363
2.173736
0.269226
0.518844
0.520593
0.53714
0.269199
0.215535
0.12171
0.216323
0.300156
-0.382207
7,649
train
H1
H02
200
200
50
43.5
46
3.547093
-4.025491
-2.360599
-2.375389
18.512835
20.007693
19.476401
3.547093
4.025491
0.00001
5.642474
12.134451
16.377338
0.012369
0.019709
4.419782
7,649
train
H0
H02
300
300
50
49.666667
47
0.519981
-0.442008
-0.577578
-0.576224
0.336072
0.433629
0.334226
-0.576224
0.577578
0.627274
0.332034
0.261418
0.195263
0.201631
0.177617
0.485568
7,649
train
H1
H02
300
300
50
48.333333
45.333333
2.548194
-3.208325
-1.403627
-1.406073
10.710351
15.034556
13.010035
2.548194
3.208325
0.00037
1.977042
6.213864
10.337093
0.396167
0.421798
3.560454
7,649
train
H0
H02
500
500
50
50.2
51.4
-0.18313
0.261314
0.209232
0.209238
0.059774
0.661961
0.045422
-0.18313
0.261314
0.774408
0.043781
0.039024
0.068513
0.056487
0.051967
-0.286614
7,649
train
H1
H02
500
500
50
48.2
46.6
3.847989
-4.926098
-1.893848
-1.90104
29.029981
38.945944
34.532936
3.847989
4.926098
0
3.613952
13.640218
24.451308
1.657816
1.653667
5.545777
7,649
train
H0
H02
1,000
1,000
50
47.9
51.9
2.040037
-1.744122
-2.263259
-2.264907
5.19152
5.209806
5.196131
2.040037
2.263259
0.056618
5.129803
4.171365
3.041428
3.927837
3.89335
1.906249
7,649
train
H1
H02
1,000
1,000
50
50.1
53.5
7.748667
-9.216254
-5.00554
-5.047307
92.234179
94.863333
98.965969
7.748667
9.216254
0
25.475303
61.199338
85.950649
0.047992
0.030078
10.324408