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
7,646
train
H0
H29
20
20
20
20
20
-0.062424
0.027675
0.300852
0.297882
0.465583
0.527024
0.438371
-0.062424
0.300852
0.803173
0.088734
0.016041
0.000761
0.41845
0.40071
-0.040129
7,646
train
H1
H29
20
20
20
15
30
1.557812
-1.513597
-1.781772
-1.828652
3.624946
3.828015
3.58905
-1.828652
1.781772
0.116993
3.343968
2.790914
2.311076
2.940456
2.947555
1.567522
7,646
train
H0
H29
30
30
20
13.333333
26.666667
-0.196355
0.233282
-0.584529
-0.577878
4.443154
4.645743
4.639043
-0.577878
0.584529
0.098321
0.333943
0.013755
0.054331
2.405635
2.270547
-0.216881
7,646
train
H1
H29
30
30
20
30
16.666667
-1.500681
1.448633
1.732682
1.756462
3.27195
3.289184
3.262449
-1.500681
1.732682
0.13454
3.085157
2.563843
2.093294
3.220432
3.30087
-1.496437
7,646
train
H0
H29
50
50
20
26
12
-0.011103
-0.04698
0.623601
0.619329
2.646401
3.929093
2.353186
0.619329
0.623601
0.269223
0.383568
0.04068
0.002203
1.677481
1.521283
0.039221
7,646
train
H1
H29
50
50
20
14
20
0.798113
-0.917048
-0.061993
-0.061714
2.196639
5.535123
3.096981
0.798113
0.917048
0.136553
0.003809
0.263682
0.842363
0.744807
0.834575
0.935252
7,646
train
H0
H29
75
75
20
24
18.666667
-0.317397
0.162345
1.123611
1.150011
6.41513
7.729638
5.965827
1.150011
1.123611
0.050645
1.322525
0.287136
0.026319
4.413719
4.271371
-0.116818
7,646
train
H1
H29
75
75
20
28
26.666667
0.743587
-0.764638
-0.446566
-0.443973
0.691051
1.577694
1.015478
0.743587
0.764638
0.439261
0.197112
0.291547
0.586236
0.005702
0.005378
0.773442
7,646
train
H0
H29
100
100
20
21
16
-0.464032
0.414168
0.947057
0.944426
2.255888
4.668585
1.834501
0.944426
0.947057
0.197737
0.891941
0.309754
0.171309
1.807585
1.586582
-0.426958
7,646
train
H1
H29
100
100
20
19
20
0.908387
-1.041962
-0.157375
-0.156798
1.90172
11.115515
3.461882
0.908387
1.041962
0.011117
0.024586
0.289952
1.09002
0.638438
0.828584
1.058761
7,646
train
H0
H29
150
150
20
18
21.333333
0.269013
-0.189633
-0.815645
-0.816987
2.496164
3.353984
2.213061
-0.816987
0.815645
0.330704
0.667468
0.158183
0.035921
1.716683
1.626812
0.193816
7,646
train
H1
H29
150
150
20
17.333333
19.333333
1.194357
-1.283448
-0.108018
-0.108249
6.536371
6.31408
7.476146
1.194357
1.283448
0.0238
0.011718
0.601677
1.651182
1.584795
1.520318
1.303201
7,646
train
H0
H29
200
200
20
18
20.5
1.423511
-1.427275
-1.456663
-1.456609
2.298178
3.767785
2.171681
-1.456609
1.456663
0.149653
2.121709
2.4334
2.039718
1.263419
1.409934
1.440758
7,646
train
H1
H29
200
200
20
20
20
1.692504
-1.939743
0.144319
0.145176
17.91615
21.98559
20.8153
1.692504
1.939743
0.00003
0.021076
1.128145
3.781127
5.4607
5.475124
1.96722
7,646
train
H0
H29
300
300
20
14.333333
17.666667
0.11448
-0.002714
-1.043096
-1.045016
4.319032
4.571621
4.877483
-1.045016
1.043096
0.087271
1.092058
0.222516
0.000007
3.573966
3.572851
0.003825
7,646
train
H1
H29
300
300
20
15.333333
17
3.062756
-3.160748
-1.983804
-1.986163
8.994433
23.132744
12.979983
3.062756
3.160748
0.000038
3.944842
6.347047
10.058325
0.074052
0.047409
3.204441
7,646
train
H0
H29
500
500
20
15.4
20.4
0.788215
-0.718565
-1.233816
-1.233172
1.836808
5.218876
2.178234
-1.233172
1.233816
0.156454
1.520714
1.057166
0.516288
2.125578
2.204376
0.72762
7,646
train
H1
H29
500
500
20
19.4
17.8
1.982522
-2.232058
-0.012352
-0.012359
17.426388
33.678894
23.124258
1.982522
2.232058
0
0.000153
1.402918
5.000329
5.425306
5.621104
2.261959
7,646
train
H0
H29
1,000
1,000
20
19
20.1
-0.278677
0.408133
-0.679819
-0.680988
5.958654
6.26698
5.463621
-0.278677
0.679819
0.065101
0.463745
0.002694
0.166558
3.081686
3.011492
-0.413666
7,646
train
H1
H29
1,000
1,000
20
19.6
20.3
3.309426
-3.565991
-1.343177
-1.343924
20.945911
38.275648
27.941389
3.309426
3.565991
0
1.806131
6.305463
12.753568
1.869876
1.892258
3.623324
7,646
train
H0
H29
20
20
30
35
15
-1.489744
1.449652
1.575617
1.606809
2.60172
2.755063
2.59706
-1.489744
1.575617
0.142877
2.581835
2.343217
2.095046
2.599579
2.576966
-1.465159
7,646
train
H1
H29
20
20
30
30
40
0.383511
-0.394363
-0.314041
-0.305378
0.189112
0.482369
0.165711
-0.305378
0.394363
0.693847
0.093256
0.139805
0.142292
0.002247
0.001447
0.393639
7,646
train
H0
H29
30
30
30
33.333333
13.333333
-1.574026
1.638745
1.228497
1.215329
3.014173
3.124609
2.939609
-1.574026
1.638745
0.093845
1.477024
2.351299
2.697024
0.090368
0.194715
-1.675454
7,646
train
H1
H29
30
30
30
23.333333
20
0.081993
-0.156037
0.548608
0.552314
3.178747
4.051804
3.364467
0.081993
0.548608
0.185958
0.305051
0.033919
0.024269
1.971332
2.023428
0.152917
7,646
train
H0
H29
50
50
30
36
32
1.275294
-1.319546
-0.93283
-0.943033
2.400537
2.688685
2.492724
1.275294
1.319546
0.175094
0.88931
1.344258
1.751343
0.011545
0.012787
1.356016
7,646
train
H1
H29
50
50
30
38
30
-0.01852
-0.229511
0.834803
0.835794
6.025375
10.6783
6.719037
-0.01852
0.834803
0.013599
0.698551
0.083725
0.052743
3.946921
4.252108
0.217293
7,646
train
H0
H29
75
75
30
28
30.666667
-0.133998
-0.099036
0.842387
0.853265
4.361855
4.499506
4.444389
-0.133998
0.842387
0.108371
0.728061
0.077139
0.009814
3.124721
3.060231
0.111111
7,646
train
H1
H29
75
75
30
28
32
1.982989
-2.156938
-1.290082
-1.283147
5.245264
9.603976
6.341821
1.982989
2.156938
0.022251
1.646466
3.226993
4.682867
0.000087
0.002405
2.19541
7,646
train
H0
H29
100
100
30
26
29
1.225188
-1.203351
-1.207951
-1.206195
1.492023
2.452668
1.533974
1.225188
1.207951
0.215267
1.454907
1.40761
1.4502
0.736516
0.655743
1.239211
7,646
train
H1
H29
100
100
30
31
28
-0.282528
0.184886
0.438406
0.436332
0.214627
2.359945
0.304449
0.436332
0.438406
0.501134
0.190386
0.138885
0.034177
0.342233
0.346869
-0.191296
7,646
train
H0
H29
150
150
30
34
32
-1.510365
1.604808
0.96618
0.964073
4.735491
7.193891
4.129103
-1.510365
1.604808
0.065968
0.929437
2.183582
2.577617
0.052168
0.012951
-1.63475
7,646
train
H1
H29
150
150
30
28
24.666667
0.629274
-0.800187
0.14298
0.14274
3.516373
5.039303
4.113569
0.14274
0.800187
0.127864
0.020375
0.151588
0.640668
1.423126
1.445184
0.81632
7,646
train
H0
H29
200
200
30
35
31
-1.628286
1.658252
1.257627
1.256204
3.508086
3.584857
3.428066
-1.628286
1.658252
0.091476
1.57805
2.387607
2.751256
0.110382
0.148188
-1.687663
7,646
train
H1
H29
200
200
30
33.5
34.5
0.713123
-0.958867
-0.228993
-0.228893
0.995655
15.143958
2.096729
0.713123
0.958867
0.001698
0.052392
0.208981
0.921841
0.24057
0.271231
0.991626
7,646
train
H0
H29
300
300
30
28.666667
30.333333
-0.232498
0.264493
0.183977
0.183876
0.03485
2.704804
0.063753
0.183876
0.264493
0.439411
0.03381
0.035019
0.069939
0.007069
0.000418
-0.268277
7,646
train
H1
H29
300
300
30
25.333333
30.333333
2.096644
-2.476313
-0.2698
-0.272372
23.171788
28.204287
26.140702
2.096644
2.476313
0.000002
0.074186
2.472935
6.154062
5.176887
5.140349
2.541744
7,646
train
H0
H29
500
500
30
29
26.4
-0.899378
0.831276
0.908997
0.908452
0.870682
1.250503
0.848009
0.908452
0.908997
0.396273
0.825286
0.815079
0.691012
0.49381
0.509522
-0.848296
7,646
train
H1
H29
500
500
30
32.4
30.8
1.275771
-1.764337
0.440073
0.441232
18.169265
36.249081
23.309552
0.441232
1.764337
0
0.194686
0.502322
3.122341
7.84207
7.952262
1.802565
7,646
train
H0
H29
1,000
1,000
30
31.9
28.9
-1.709235
1.572621
1.958632
1.959995
3.869094
7.715335
3.971649
1.959995
1.958632
0.052276
3.841581
3.379017
2.473308
3.420139
3.561609
-1.603808
7,646
train
H1
H29
1,000
1,000
30
28.2
30.3
3.659773
-4.025618
-1.844645
-1.845179
26.812317
42.487131
32.274981
3.659773
4.025618
0
3.404687
9.279279
16.248878
1.239788
1.264336
4.111084
7,646
train
H0
H29
20
20
40
40
45
-0.934513
0.922074
0.718468
0.719931
1.374283
3.51037
1.165243
-0.934513
0.922074
0.31942
0.5183
0.898435
0.853281
0.000105
0.089486
-0.986311
7,646
train
H1
H29
20
20
40
65
10
-1.191636
0.945914
1.948557
1.898024
7.047975
8.35635
7.446827
1.898024
1.948557
0.024151
3.602496
1.927949
0.920241
7.735166
7.865183
-1.026313
7,646
train
H0
H29
30
30
40
36.666667
43.333333
0.769002
-0.793966
-0.698957
-0.693858
0.679264
3.089528
0.603669
-0.693858
0.793966
0.378027
0.481438
0.694565
0.628779
0.110087
0.179507
0.830999
7,646
train
H1
H29
30
30
40
33.333333
43.333333
1.464567
-1.561737
-1.111766
-1.094725
2.941621
2.847329
2.935351
-1.094725
1.561737
0.10621
1.198424
2.053588
2.442593
0.026982
0.089107
1.615465
7,646
train
H0
H29
50
50
40
38
52
1.368743
-1.412091
-1.223727
-1.218008
2.079949
2.294173
2.048556
-1.218008
1.412091
0.14558
1.483543
1.867763
1.988764
0.325862
0.356223
1.455322
7,646
train
H1
H29
50
50
40
34
38
0.725553
-0.867678
-0.20241
-0.200857
2.580633
5.348889
2.976946
0.725553
0.867678
0.147961
0.040344
0.295229
0.75142
0.551523
0.605605
0.885228
7,646
train
H0
H29
75
75
40
36
30.666667
-0.19863
0.242832
0.257625
0.256535
0.066546
1.800845
0.085311
0.256535
0.257625
0.614751
0.06581
0.098809
0.05889
0.115743
0.144943
-0.248759
7,646
train
H1
H29
75
75
40
30.666667
32
0.371244
-0.481468
0.109638
0.108986
1.55324
3.212739
1.963782
0.108986
0.481468
0.359974
0.011878
0.024977
0.232025
0.73136
0.778341
0.483953
7,646
train
H0
H29
100
100
40
38
41
-1.011799
1.221185
0.598613
0.598029
2.144345
3.786332
2.437022
0.598029
1.221185
0.211404
0.357638
0.928468
1.495982
0.084223
0.098761
-1.249715
7,646
train
H1
H29
100
100
40
36
46
2.573753
-2.867599
-1.73535
-1.735598
12.552909
17.43233
13.297794
2.573753
2.867599
0.000576
3.0123
5.638847
8.286552
0.00303
0.004889
2.961999
7,646
train
H0
H29
150
150
40
42
38
-1.417339
1.521357
1.108136
1.108329
2.719074
2.879554
2.65139
-1.417339
1.521357
0.115593
1.228394
2.001441
2.315507
0.082379
0.114962
-1.573544
7,646
train
H1
H29
150
150
40
34.666667
40
2.908136
-3.143972
-2.011939
-2.015713
13.500108
15.631269
14.358813
2.908136
3.143972
0.000762
4.063098
7.311887
9.972767
0.016
0.021611
3.218812
7,646
train
H0
H29
200
200
40
40.5
41.5
1.349716
-1.448482
-1.122551
-1.123468
2.309714
2.731223
2.195492
1.349716
1.448482
0.137558
1.26218
1.960043
2.101809
0.184138
0.220323
1.484948
7,646
train
H1
H29
200
200
40
44.5
37
1.380248
-1.7999
-0.436691
-0.438207
8.515679
22.103986
10.199484
-0.438207
1.7999
0.000062
0.192025
1.296221
3.261804
1.573642
1.621658
1.86618
7,646
train
H0
H29
300
300
40
42.333333
41.666667
-0.329991
0.490036
-0.085111
-0.08504
2.367382
3.056725
2.204368
-0.08504
0.490036
0.332145
0.007232
0.089818
0.240034
0.731415
0.65652
-0.501743
7,646
train
H1
H29
300
300
40
39.666667
39
2.191681
-2.535073
-1.14355
-1.144374
12.91255
14.337835
13.728648
2.191681
2.535073
0.001044
1.309593
3.975933
6.44418
0.684336
0.666321
2.621952
7,646
train
H0
H29
500
500
40
42.2
41
-1.708784
1.710189
1.581581
1.584405
2.88214
3.285354
2.954874
-1.708784
1.710189
0.07869
2.51034
2.796344
2.926353
0.959632
0.947155
-1.758338
7,646
train
H1
H29
500
500
40
37.8
44.6
3.80372
-4.165366
-2.813336
-2.817256
19.168683
37.439956
21.903886
3.80372
4.165366
0
7.936933
12.32335
17.42152
0.26776
0.233985
4.302482
7,646
train
H0
H29
1,000
1,000
40
41.1
39.6
-0.219332
0.226544
0.046145
0.046124
0.63365
7.485759
0.335208
0.046124
0.226544
0.057925
0.002127
0.081899
0.051319
0.079318
0.061836
-0.233273
7,646
train
H1
H29
1,000
1,000
40
39.7
37.5
2.991153
-3.940501
-0.488501
-0.489478
56.030034
82.239793
62.981534
2.991153
3.940501
0
0.239589
5.967291
15.583019
12.476246
12.523185
4.084793
7,646
train
H0
H29
20
20
50
40
55
0.617273
-0.629065
-0.681867
-0.683956
0.523189
3.280089
0.497282
-0.683956
0.681867
0.350423
0.467796
0.383708
0.394297
0.287086
0.23145
0.664966
7,646
train
H1
H29
20
20
50
70
70
-0.584443
0.719727
0.433614
0.445916
2.391033
3.02726
2.377143
-0.584443
0.719727
0.304656
0.198841
0.365549
0.545317
0.143027
0.134938
-0.779773
7,646
train
H0
H29
30
30
50
53.333333
50
-0.055965
0.008628
0.34254
0.341992
1.876696
9.624339
2.079857
-0.055965
0.34254
0.022045
0.116958
0.046614
0.000074
1.241236
1.353208
-0.015722
7,646
train
H1
H29
30
30
50
56.666667
60
0.855106
-0.950393
-0.698083
-0.700416
1.270977
3.762579
1.333889
0.855106
0.950393
0.288269
0.490583
0.693627
0.904151
0.000935
0.000887
0.991278
7,646
train
H0
H29
50
50
50
54
56
0.556115
-0.770453
-0.377971
-0.37636
1.162631
2.834749
1.101325
-0.37636
0.770453
0.417812
0.141647
0.426013
0.59322
0.070749
0.044944
0.788174
7,646
train
H1
H29
50
50
50
56
50
0.259337
-0.639204
0.194106
0.193765
3.034815
6.994975
3.321934
0.193765
0.639204
0.072058
0.037545
0.051352
0.410112
1.51054
1.609233
0.654855
7,646
train
H0
H29
75
75
50
54.666667
58.666667
0.669233
-0.756837
-0.544841
-0.543442
0.863736
2.03674
0.817316
-0.543442
0.756837
0.440976
0.29533
0.533892
0.572118
0.000013
0.002523
0.770546
7,646
train
H1
H29
75
75
50
60
42.666667
-1.940016
1.297741
2.638836
2.6931
15.132752
16.684289
15.471192
-1.940016
2.638836
0.000437
7.25279
3.714414
1.684176
15.356668
15.35855
-1.354286
7,646
train
H0
H29
100
100
50
53
49
0.081284
-0.366726
0.203186
0.202387
1.035427
10.683817
1.353743
0.202387
0.366726
0.013564
0.040961
0.000604
0.134365
0.651355
0.761663
0.37398
7,646
train
H1
H29
100
100
50
58
54
1.066418
-1.318631
-0.659156
-0.663491
4.108872
6.329509
4.376447
-0.663491
1.318631
0.096634
0.44022
1.035055
1.747791
0.329677
0.31483
1.389888
7,646
train
H0
H29
150
150
50
48
50.666667
0.67481
-0.596689
-0.726654
-0.725616
0.544184
1.129517
0.535872
-0.725616
0.726654
0.534048
0.526518
0.405151
0.355846
0.346128
0.331685
0.621839
7,646
train
H1
H29
150
150
50
55.333333
54
0.557732
-0.98625
0.017885
0.017848
7.215069
7.158287
7.246136
0.017848
0.98625
0.026701
0.000319
0.371996
0.972922
2.055331
1.938772
1.016142
7,646
train
H0
H29
200
200
50
53
54
-0.577791
1.011442
0.072928
0.07297
5.839739
6.444629
5.7072
0.07297
1.011442
0.057636
0.005325
0.463733
1.023511
1.683996
1.640221
-1.039094
7,646
train
H1
H29
200
200
50
46.5
53
2.866576
-2.998212
-2.460688
-2.476027
9.328663
12.516684
9.711227
-2.476027
2.998212
0.001834
6.130711
7.754372
9.02906
1.132637
1.158899
3.115894
7,646
train
H0
H29
300
300
50
52.333333
52.666667
-0.73106
0.76581
0.587744
0.586764
0.803374
0.892385
0.769731
0.586764
0.76581
0.424958
0.344291
0.544978
0.58655
0.025033
0.03645
-0.797849
7,646
train
H1
H29
300
300
50
53.333333
49.666667
1.635356
-2.187096
-0.744591
-0.746157
12.820429
23.229619
14.117723
1.635356
2.187096
0.000036
0.55675
2.404716
4.804598
1.712814
1.741929
2.283172
7,646
train
H0
H29
500
500
50
50.6
50.4
0.194578
-0.159572
-0.272624
-0.272766
0.183293
0.797059
0.160561
-0.272766
0.272624
0.85017
0.074402
0.030393
0.025464
0.132952
0.123774
0.164647
7,646
train
H1
H29
500
500
50
53.4
48.6
1.694154
-2.667836
-0.260398
-0.260793
30.153567
38.279145
31.962094
-0.260793
2.667836
0
0.068013
2.75974
7.141173
7.13059
7.059035
2.793776
7,646
train
H0
H29
1,000
1,000
50
50.8
49.7
0.266943
-0.496206
0.121259
0.121242
2.434136
2.485251
2.37651
0.121242
0.496206
0.304753
0.0147
0.080073
0.246204
0.908633
0.907694
0.515996
7,646
train
H1
H29
1,000
1,000
50
48.5
50.4
3.992525
-4.474252
-2.995967
-3.005607
25.008331
33.434747
26.521632
3.992525
4.474252
0
9.033671
15.025081
20.074903
0.117135
0.115556
4.675463
7,647
train
H0
H01
20
20
0
0
0
-1.217254
1.217254
1.133463
1.147453
1.837146
5.184336
1.501982
-1.217254
1.217254
0.158786
1.316648
1.712796
1.486239
0.556517
0.989251
-1.232761
7,647
train
H1
H01
20
20
0
0
0
-0.162301
0.162301
0.67103
0.660556
1.045466
1.307491
1.268515
-0.162301
0.67103
0.530329
0.436334
0.170928
0.026206
1.264527
1.314327
-0.164368
7,647
train
H0
H01
30
30
0
0
0
0.340042
-0.340042
-0.033856
-0.033341
0.084781
3.455221
0.424661
0.340042
0.340042
0.326616
0.001112
0.012528
0.115376
0.107544
0.202967
0.342911
7,647
train
H1
H01
30
30
0
0
0
-0.103491
0.103491
-0.292754
-0.292274
1.224698
5.118469
0.727787
-0.103491
0.292754
0.163325
0.085424
0.000598
0.010661
0.382172
0.251689
-0.104364
7,647
train
H0
H01
50
50
0
0
0
-0.013788
0.013788
0.017122
0.016879
0.03291
0.902311
0.000289
-0.013788
0.017122
0.82487
0.000285
0.004986
0.000189
0.005151
0.020954
-0.013857
7,647
train
H1
H01
50
50
0
0
0
1.399445
-1.399445
-1.079415
-1.074648
2.174544
2.395719
2.063067
1.399445
1.399445
0.159577
1.154869
1.761888
1.962497
0.188233
0.273825
1.406496
7,647
train
H0
H01
75
75
0
0
0
0.543136
-0.543136
-0.410293
-0.407531
0.183589
2.784252
0.313215
-0.407531
0.543136
0.426099
0.166082
0.193769
0.294432
0.012649
0.001837
0.541311
7,647
train
H1
H01
75
75
0
0
0
0.731073
-0.731073
-0.348061
-0.347948
1.552546
5.027404
0.908952
-0.347948
0.731073
0.169801
0.121068
0.470814
0.533653
0.024691
0.004065
0.728615
7,647
train
H0
H01
100
100
0
0
0
0.982242
-0.982242
-0.682812
-0.679048
1.089138
1.575202
1.092551
-0.679048
0.982242
0.324768
0.461107
0.82623
0.964375
0.029491
0.023511
0.984707
7,647
train
H1
H01
100
100
0
0
0
0.373838
-0.373838
-0.483118
-0.48227
0.404395
3.050454
0.242507
-0.48227
0.483118
0.383911
0.232585
0.105807
0.139678
0.199526
0.144317
0.374777
7,647
train
H0
H01
150
150
0
0
0
-0.002662
0.002662
-0.037578
-0.037367
0.00192
0.062364
0.006444
-0.037367
0.037578
0.995935
0.001396
0.001436
0.000007
0.000977
0.000045
-0.002667
7,647
train
H1
H01
150
150
0
0
0
1.062231
-1.062231
-0.605896
-0.604922
0.703537
7.412158
1.560368
1.062231
1.062231
0.059859
0.365931
0.591887
1.128814
0.001146
0.010171
1.064006
7,647
train
H0
H01
200
200
0
0
0
-1.665019
1.665019
1.236114
1.234401
2.663569
4.376416
2.963539
-1.665019
1.665019
0.095494
1.523747
2.386745
2.777985
0.184554
0.164618
-1.667104
7,647
train
H1
H01
200
200
0
0
0
1.918448
-1.918448
-1.108308
-1.10644
3.46315
8.253731
4.98648
1.918448
1.918448
0.041049
1.22421
2.396205
3.688088
0.000148
0.001033
1.92085
7,647
train
H0
H01
300
300
0
0
0
0.705576
-0.705576
-0.815694
-0.814978
0.725272
2.29484
0.664224
0.705576
0.815694
0.480086
0.664189
0.511371
0.497813
0.479125
0.435157
0.706165
7,647
train
H1
H01
300
300
0
0
0
1.546804
-1.546804
-0.794628
-0.792542
2.248771
4.411525
3.620836
1.546804
1.546804
0.1216
0.628122
1.371333
2.394934
0.028527
0.038238
1.548095
7,647
train
H0
H01
500
500
0
0
0
-0.502558
0.502558
0.903188
0.904405
1.452953
3.667591
1.14973
-0.502558
0.903188
0.299668
0.817949
0.375502
0.25249
1.180757
1.109761
-0.50281
7,647
train
H1
H01
500
500
0
0
0
2.8971
-2.8971
-2.821618
-2.848044
8.111554
21.901765
8.82174
2.8971
2.8971
0.000068
8.111355
7.373995
8.411183
4.238096
4.116464
2.898549
7,647
train
H0
H01
1,000
1,000
0
0
0
-0.389447
0.389447
-0.129492
-0.129453
1.621226
2.253398
1.032592
-0.129453
0.389447
0.521507
0.016758
0.081271
0.151642
0.371353
0.351619
-0.389545
7,647
train
H1
H01
1,000
1,000
0
0
0
4.663765
-4.663765
-2.686673
-2.688515
22.905499
24.496562
29.255315
4.663765
4.663765
0
7.228115
14.756646
21.827904
0.012254
0.010775
4.664932