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
H05
20
20
30
25
35
0.059652
-0.071526
-0.036479
-0.036031
0.017273
0.707387
0.007812
-0.036031
0.071526
0.871465
0.001298
0.006663
0.005076
0.028089
0.01684
0.076745
4
train
H1
H05
20
20
30
25
30
0.583023
-0.695307
-0.12011
-0.116716
1.786237
1.848858
1.705181
0.583023
0.695307
0.426309
0.013623
0.269198
0.4798
0.474963
0.341031
0.713416
4
train
H0
H05
30
30
30
30
36.666667
0.731861
-0.847326
-0.476221
-0.467976
0.828934
1.517695
0.907517
0.731861
0.847326
0.381089
0.219002
0.537183
0.714855
0.012517
0.016795
0.875891
4
train
H1
H05
30
30
30
33.333333
16.666667
-0.035972
-0.039842
0.334374
0.330176
0.61206
1.046629
0.691274
-0.035972
0.334374
0.707769
0.109016
0.019144
0.00158
0.640706
0.694061
0.032795
4
train
H0
H05
50
50
30
38
34
0.285137
-0.327503
-0.086222
-0.085448
0.39146
0.457046
0.410662
0.285137
0.327503
0.737035
0.007301
0.049696
0.106979
0.125579
0.126856
0.335783
4
train
H1
H05
50
50
30
26
24
1.013113
-1.060669
-0.674498
-0.673129
1.648467
1.926041
1.538154
1.013113
1.060669
0.273974
0.453103
0.921547
1.125781
0.000289
0.00541
1.093957
4
train
H0
H05
75
75
30
26.666667
29.333333
1.429199
-1.616884
-0.554177
-0.555122
7.858375
9.350201
7.226987
1.429199
1.616884
0.02498
0.30816
1.691573
2.623749
0.62839
0.48835
1.626469
4
train
H1
H05
75
75
30
25.333333
22.666667
0.702599
-0.726276
-0.443841
-0.443392
0.730669
0.723933
0.811046
0.702599
0.726276
0.462012
0.196596
0.365456
0.527056
0.007094
0.003407
0.735538
4
train
H0
H05
100
100
30
35
29
-0.217872
0.45825
-0.561936
-0.572946
6.967108
9.148049
6.406538
-0.572946
0.561936
0.027386
0.328268
0.010295
0.209803
3.427271
3.255741
-0.500345
4
train
H1
H05
100
100
30
29
28
0.918241
-0.871502
-1.118592
-1.123988
1.330367
1.414348
1.385104
-1.123988
1.118592
0.373659
1.263348
1.092184
0.76058
1.145516
1.185161
0.88964
4
train
H0
H05
150
150
30
32
34
0.906684
-1.015011
-0.509551
-0.508229
1.694631
1.870123
1.807948
0.906684
1.015011
0.299814
0.258297
0.684031
1.030102
0.077369
0.072875
1.036832
4
train
H1
H05
150
150
30
32.666667
30.666667
0.443667
-0.50197
-0.237814
-0.237743
0.45431
0.531958
0.481679
0.443667
0.50197
0.606396
0.056522
0.16306
0.251838
0.037153
0.031476
0.515224
4
train
H0
H05
200
200
30
28.5
32.5
0.89596
-0.701845
-1.512174
-1.516041
5.462354
10.372544
4.70482
-1.516041
1.512174
0.015651
2.298381
0.853773
0.492572
4.400032
4.160181
0.721443
4
train
H1
H05
200
200
30
31
27.5
1.64691
-1.50109
-2.039571
-2.094202
5.469111
6.438524
5.290218
-2.094202
2.039571
0.070998
4.385683
3.018041
2.260452
4.944291
4.883458
1.529745
4
train
H0
H05
300
300
30
27
29.333333
0.315983
-0.418817
0.05826
0.058176
0.712467
1.538198
0.984687
0.058176
0.418817
0.611192
0.003384
0.035483
0.175341
0.371341
0.351584
0.426396
4
train
H1
H05
300
300
30
29
33.333333
2.451415
-2.437621
-2.294106
-2.3047
5.792855
7.854807
6.024332
-2.3047
2.437621
0.012891
5.311643
5.658823
5.951779
2.228112
2.200999
2.486753
4
train
H0
H05
500
500
30
32.2
29.8
-1.278965
1.272747
1.205174
1.204308
1.609775
1.609608
1.636261
1.204308
1.272747
0.192951
1.450359
1.591283
1.61995
0.659716
0.678801
-1.301899
4
train
H1
H05
500
500
30
31.6
33
2.273331
-2.424253
-1.660355
-1.663355
6.30038
11.146893
7.077715
2.273331
2.424253
0.010958
2.766751
4.514264
5.881797
0.113077
0.092915
2.477273
4
train
H0
H05
1,000
1,000
30
31.7
30.8
-0.82215
0.85855
0.715885
0.715945
0.787509
1.138175
0.702226
-0.82215
0.85855
0.381401
0.512578
0.765875
0.737047
0.149423
0.154549
-0.875317
4
train
H1
H05
1,000
1,000
30
29.7
33.9
4.462657
-4.482062
-3.988855
-4.006601
20.098153
19.888173
20.25299
4.462657
4.482062
0.000005
16.052855
19.236094
20.125526
5.534611
5.713086
4.586149
4
train
H0
H05
20
20
40
55
40
-2.16117
2.154758
2.091996
2.224859
5.027497
5.024986
5.02767
2.224859
2.154758
0.020185
4.949999
5.028661
4.833383
3.120825
3.213736
-2.322891
4
train
H1
H05
20
20
40
40
55
1.082231
-1.115944
-1.018371
-1.063634
1.246572
3.279656
1.222756
-1.063634
1.115944
0.265409
1.131318
1.306699
1.261861
0.399409
0.458603
1.113698
4
train
H0
H05
30
30
40
53.333333
43.333333
-0.377143
0.037806
0.781262
0.768031
2.067305
2.362141
2.162451
0.768031
0.781262
0.33918
0.589872
0.117091
0.001428
2.281312
2.171557
-0.062399
4
train
H1
H05
30
30
40
33.333333
33.333333
0.760356
-0.744657
-0.800298
-0.798237
0.641489
1.829245
0.637776
-0.798237
0.800298
0.428403
0.637182
0.538648
0.5538
0.273549
0.224022
0.791928
4
train
H0
H05
50
50
40
40
50
1.238784
-1.403207
-0.919454
-0.922066
2.732472
2.720311
2.747933
1.238784
1.403207
0.145701
0.850205
1.511376
1.966987
0.000151
0.001963
1.454884
4
train
H1
H05
50
50
40
38
34
-0.275003
0.141744
0.646102
0.644728
1.666775
1.780756
1.607987
-0.275003
0.646102
0.447538
0.415674
0.105329
0.020072
1.504481
1.375696
-0.160892
4
train
H0
H05
75
75
40
34.666667
46.666667
2.065443
-1.99982
-2.100437
-2.11895
4.52781
5.159611
4.511916
-2.11895
2.100437
0.039313
4.489948
4.517047
4.011808
2.743207
2.860178
2.060894
4
train
H1
H05
75
75
40
42.666667
42.666667
0.736645
-0.757664
-0.649763
-0.648438
0.642109
1.557133
0.581604
-0.648438
0.757664
0.43721
0.420471
0.601745
0.573289
0.052902
0.092044
0.776913
4
train
H0
H05
100
100
40
50
42
-1.479552
1.632492
1.135784
1.130235
3.561324
4.654213
3.315974
1.130235
1.632492
0.091142
1.27743
2.412524
2.66385
0.008885
0.036274
-1.689405
4
train
H1
H05
100
100
40
47
33
1.301403
-1.533035
-0.672489
-0.687563
5.364036
5.361553
5.3243
-0.687563
1.533035
0.069798
0.472743
1.541111
2.367267
0.331517
0.30564
1.608776
4
train
H0
H05
150
150
40
42
37.333333
-0.996658
1.061219
0.788135
0.787855
1.363865
1.899437
1.280502
-0.996658
1.061219
0.273022
0.620715
1.02789
1.125953
0.067591
0.090665
-1.096131
4
train
H1
H05
150
150
40
34.666667
34.666667
1.544392
-1.617377
-1.340115
-1.350946
2.487015
2.799072
2.530038
1.544392
1.617377
0.096819
1.825055
2.36838
2.62302
0.467547
0.47194
1.660474
4
train
H0
H05
200
200
40
40
39.5
0.700689
-0.823268
-0.559623
-0.559572
0.437113
7.833983
0.614951
0.700689
0.823268
0.04957
0.313121
0.390016
0.678435
0.025104
0.010411
0.847918
4
train
H1
H05
200
200
40
35
37.5
0.32231
-0.220653
-0.613918
-0.612854
1.108521
1.925268
0.971726
-0.612854
0.613918
0.588062
0.37559
0.108657
0.048654
0.794548
0.770884
0.230187
4
train
H0
H05
300
300
40
39
40
0.020088
-0.060825
0.097925
0.097802
0.159557
0.204609
0.15119
0.097802
0.097925
0.927192
0.009565
0.000054
0.003698
0.108462
0.094089
0.062677
4
train
H1
H05
300
300
40
41.333333
39.333333
0.754579
-0.747998
-0.83668
-0.839404
0.832158
9.409052
0.725718
-0.839404
0.83668
0.024319
0.704598
0.45049
0.559729
0.602771
0.510491
0.77725
4
train
H0
H05
500
500
40
38.4
36
-0.559363
0.498283
0.705234
0.704457
0.674153
1.123006
0.616199
0.704457
0.705234
0.609655
0.496259
0.2877
0.248225
0.664383
0.676204
-0.510567
4
train
H1
H05
500
500
40
36
42.2
4.367789
-4.419975
-3.929163
-3.963881
19.936489
20.285823
19.675512
4.367789
4.419975
0.000006
15.712353
19.394992
19.613989
5.561617
5.56181
4.539816
4
train
H0
H05
1,000
1,000
40
41.2
40.2
-1.045265
1.134068
0.792555
0.79253
1.499985
2.083333
1.586771
-1.045265
1.134068
0.244164
0.628104
1.00219
1.286336
0.024031
0.021641
-1.164641
4
train
H1
H05
1,000
1,000
40
42.5
41.4
5.480283
-5.632899
-4.867899
-4.975613
30.98667
34.12841
31.621109
5.480283
5.632899
0
24.756727
29.723416
31.954699
8.023659
8.033631
5.813421
4
train
H0
H05
20
20
50
45
50
1.019377
-1.08703
-0.716759
-0.708306
2.160186
2.147153
2.118152
-0.708306
1.08703
0.267719
0.501698
0.95815
1.182561
0.021533
0.000077
1.10833
4
train
H1
H05
20
20
50
60
45
0.497955
-0.672634
-0.245021
-0.253466
1.835847
2.139291
1.794601
-0.253466
0.672634
0.407669
0.064245
0.270105
0.4561
0.29868
0.262704
0.736297
4
train
H0
H05
30
30
50
30
46.666667
1.207352
-1.099534
-1.449934
-1.465742
2.709419
3.244884
2.758416
-1.465742
1.449934
0.251778
2.148398
1.659465
1.207273
2.324284
2.391851
1.124485
4
train
H1
H05
30
30
50
40
50
0.559852
-0.52152
-0.597377
-0.592542
0.357547
0.392601
0.356366
-0.592542
0.597377
0.585044
0.351107
0.327767
0.270738
0.157982
0.19578
0.546031
4
train
H0
H05
50
50
50
60
52
-0.581141
0.395418
0.611559
0.607748
0.378657
0.816552
0.375014
0.607748
0.611559
0.682103
0.369357
0.204954
0.156046
0.434985
0.417983
-0.409596
4
train
H1
H05
50
50
50
50
48
0.456575
-0.639502
-0.119202
-0.11865
2.072763
2.482397
1.972757
-0.11865
0.639502
0.372925
0.014078
0.237858
0.408199
0.439778
0.367715
0.654551
4
train
H0
H05
75
75
50
54.666667
54.666667
0.621648
-0.652714
-0.535727
-0.536386
0.502728
0.618193
0.490197
0.621648
0.652714
0.495231
0.28771
0.391785
0.426162
0.010317
0.010966
0.682013
4
train
H1
H05
75
75
50
44
57.333333
2.83458
-2.576589
-3.002697
-3.127946
10.712718
21.540979
10.500669
-3.127946
3.002697
0.000081
9.784044
7.640587
6.71557
9.572307
9.337948
2.635576
4
train
H0
H05
100
100
50
55
51
-1.057229
1.101349
0.912803
0.90919
1.337364
1.332227
1.33354
0.90919
1.101349
0.251486
0.826626
1.10498
1.213663
0.172644
0.151467
-1.146749
4
train
H1
H05
100
100
50
46
55
2.733618
-2.722529
-2.592122
-2.674907
7.674558
8.17013
7.630878
2.733618
2.722529
0.004822
7.155129
7.742816
7.459487
3.440877
3.533836
2.818663
4
train
H0
H05
150
150
50
61.333333
46.666667
-2.839595
2.797621
2.736423
2.736543
8.102753
8.128519
8.084747
-2.839595
2.797621
0.003401
7.488667
8.116635
7.837029
3.368212
3.61791
-2.928918
4
train
H1
H05
150
150
50
48.666667
46.666667
1.800015
-2.258265
-0.997381
-1.003074
10.774667
12.706122
11.281846
-1.003074
2.258265
0.00355
1.006156
3.13017
5.118026
0.619006
0.587889
2.343929
4
train
H0
H05
200
200
50
47
49
0.727739
-0.772255
-0.681806
-0.680948
0.540212
0.557911
0.536213
-0.680948
0.772255
0.42457
0.46369
0.593051
0.596064
0.130647
0.134209
0.798518
4
train
H1
H05
200
200
50
47
51
1.859461
-1.881955
-1.74099
-1.747805
3.524612
3.532826
3.526638
-1.747805
1.881955
0.049916
3.054823
3.48148
3.549436
1.142956
1.13817
1.960684
4
train
H0
H05
300
300
50
47
49.666667
1.064524
-1.039932
-1.114526
-1.114402
1.249322
1.806939
1.244156
-1.114402
1.114526
0.282959
1.241891
1.126887
1.081537
0.831627
0.798916
1.073695
4
train
H1
H05
300
300
50
49
53.666667
3.048326
-2.761848
-3.226308
-3.278232
10.883696
11.760704
10.925077
-3.278232
3.226308
0.003774
10.746803
9.367296
7.674217
8.41109
8.581093
2.896487
4
train
H0
H05
500
500
50
49.8
49.6
0.765639
-0.790971
-0.619005
-0.618849
0.893893
1.893266
0.812252
0.765639
0.790971
0.412974
0.382974
0.630819
0.625638
0.016228
0.017571
0.81867
4
train
H1
H05
500
500
50
46.8
52
4.13461
-4.191203
-3.810596
-3.863714
17.361765
21.075479
17.71087
-3.863714
4.191203
0.000014
14.928284
16.437556
17.638277
5.648869
5.679803
4.350815
4
train
H0
H05
1,000
1,000
50
50.8
48.1
-0.349297
0.130632
0.640914
0.640813
1.588772
1.666839
1.555701
0.640813
0.640914
0.459392
0.410641
0.102499
0.017064
1.310374
1.367248
-0.136407
4
train
H1
H05
1,000
1,000
50
49.8
49.9
3.326333
-3.587863
-2.797063
-2.817233
13.259136
16.605981
13.769447
-2.817233
3.587863
0.000195
7.9368
10.790234
12.901626
1.124877
1.132612
3.724978
4
train
H0
H06
20
20
0
0
0
-0.919703
0.919703
-0.019671
-0.019609
4.448768
4.444967
4.370679
-0.919703
0.919703
0.11244
0.000385
0.314006
0.847818
1.284024
1.127495
-0.931419
4
train
H1
H06
20
20
0
0
0
0.351651
-0.351651
0.640806
0.652686
6.029542
6.510077
5.703074
0.351651
0.640806
0.057755
0.425999
0.004701
0.12329
2.978528
2.730278
0.356131
4
train
H0
H06
30
30
0
0
0
2.158526
-2.158526
-1.953965
-1.990198
4.662088
4.715604
4.747592
2.158526
2.158526
0.0295
3.960889
4.598627
4.731894
1.608489
1.697633
2.176742
4
train
H1
H06
30
30
0
0
0
0.680084
-0.680084
-0.312611
-0.307233
0.878376
0.941125
0.827903
0.680084
0.680084
0.492825
0.094392
0.305078
0.460425
0.044583
0.019483
0.685823
4
train
H0
H06
50
50
0
0
0
-0.386054
0.386054
-0.02864
-0.028349
0.895165
1.020659
0.721752
-0.386054
0.386054
0.697065
0.000804
0.071677
0.148527
0.183481
0.138896
-0.387999
4
train
H1
H06
50
50
0
0
0
0.620444
-0.620444
-0.156042
-0.153876
0.992448
0.917142
1.014041
0.620444
0.620444
0.53291
0.023678
0.204476
0.383845
0.174836
0.138509
0.623569
4
train
H0
H06
75
75
0
0
0
0.092089
-0.092089
-0.212473
-0.210325
0.102739
0.212334
0.078807
-0.210325
0.212473
0.926873
0.044236
0.014668
0.008458
0.053839
0.03901
0.091779
4
train
H1
H06
75
75
0
0
0
1.873726
-1.873726
-0.687424
-0.685743
6.396632
5.722605
7.425093
1.873726
1.873726
0.024415
0.470243
1.945636
3.537814
0.409075
0.336589
1.867428
4
train
H0
H06
100
100
0
0
0
0.891837
-0.891837
-1.174837
-1.177581
1.67459
2.715618
1.474484
0.891837
1.174837
0.371282
1.386697
0.909967
0.794722
1.269201
1.181478
0.894075
4
train
H1
H06
100
100
0
0
0
1.018893
-1.018893
-0.465171
-0.461426
1.144874
2.949569
1.778172
1.018893
1.018893
0.307041
0.212914
0.567945
1.038122
0.059651
0.083478
1.02145
4
train
H0
H06
150
150
0
0
0
0.866557
-0.866557
0.145664
0.145755
4.190198
3.919999
4.188059
0.866557
0.866557
0.12319
0.021244
0.247739
0.751043
1.300848
1.209804
0.868005
4
train
H1
H06
150
150
0
0
0
1.666558
-1.666558
-1.192129
-1.188447
3.241254
3.254232
3.058153
1.666558
1.666558
0.09505
1.412406
2.424438
2.780764
0.155638
0.200786
1.669343
4
train
H0
H06
200
200
0
0
0
-0.557025
0.557025
0.486829
0.485661
0.268959
0.353116
0.310118
-0.557025
0.557025
0.577034
0.235866
0.270324
0.310107
0.090899
0.082731
-0.557722
4
train
H1
H06
200
200
0
0
0
2.66749
-2.66749
-1.674744
-1.673483
7.562459
7.598581
8.859342
2.66749
2.66749
0.007566
2.800546
5.245601
7.146985
0.080311
0.099386
2.670831
4
train
H0
H06
300
300
0
0
0
-1.46579
1.46579
0.639711
0.6378
3.100682
3.192723
3.771674
-1.46579
1.46579
0.142373
0.406789
1.315086
2.150162
0.145446
0.132533
-1.467013
4
train
H1
H06
300
300
0
0
0
3.329585
-3.329585
-1.395277
-1.397974
17.320172
19.703615
20.298207
3.329585
3.329585
0.000039
1.954332
6.887157
11.150421
0.574844
0.549968
3.332363
4
train
H0
H06
500
500
0
0
0
0.464675
-0.464675
-0.216409
-0.21612
0.09867
1.943808
0.357428
-0.21612
0.464675
0.584151
0.046708
0.085666
0.215885
0.01079
0.017455
0.464907
4
train
H1
H06
500
500
0
0
0
1.94213
-1.94213
-0.410886
-0.411044
5.088184
17.979792
10.400983
1.94213
1.94213
0.000444
0.168957
1.295989
3.780335
1.391172
1.507992
1.943102
4
train
H0
H06
1,000
1,000
0
0
0
-0.262058
0.262058
0.54956
0.549023
0.453066
0.579029
0.48523
-0.262058
0.54956
0.784574
0.301426
0.152467
0.068664
0.49446
0.515288
-0.262124
4
train
H1
H06
1,000
1,000
0
0
0
4.803235
-4.803235
-2.667076
-2.67249
29.141416
30.665656
32.183023
4.803235
4.803235
0
7.142205
16.740358
23.147329
0.000726
0.000127
4.804436
4
train
H0
H06
20
20
10
15
10
-1.164715
0.988582
1.92278
2.072155
11.310849
12.309485
10.967246
2.072155
1.92278
0.004154
4.293824
2.1365
0.980392
9.739507
9.397064
-1.016391
4
train
H1
H06
20
20
10
10
10
-1.35341
1.377579
1.495634
1.534888
2.392812
2.429573
2.387195
-1.35341
1.495634
0.167296
2.355882
2.184595
1.907442
2.26105
2.355422
-1.380943
4
train
H0
H06
30
30
10
3.333333
10
1.570526
-1.574303
-1.410638
-1.404896
2.239868
5.382417
2.490678
1.570526
1.574303
0.109881
1.973732
2.241312
2.500337
0.649252
0.555227
1.59873
4
train
H1
H06
30
30
10
13.333333
6.666667
1.18605
-1.193703
-0.902643
-0.905649
1.254619
5.134594
1.605274
1.18605
1.193703
0.162203
0.820201
1.059922
1.431833
0.070883
0.041452
1.215292
4
train
H0
H06
50
50
10
8
2
1.657876
-1.685527
-0.716302
-0.714278
4.777494
7.690913
5.533607
1.657876
1.685527
0.052851
0.510193
1.74454
2.865156
0.171056
0.18606
1.693039
4
train
H1
H06
50
50
10
14
10
1.474549
-1.477712
-1.264795
-1.271423
2.065957
3.234921
2.22028
-1.271423
1.477712
0.135711
1.616516
1.965665
2.192802
0.446552
0.40281
1.491956
4
train
H0
H06
75
75
10
12
12
-0.798147
0.832661
0.28643
0.284998
1.440512
1.69212
1.619707
-0.798147
0.832661
0.402419
0.081224
0.389959
0.693717
0.137703
0.127838
-0.837309
4
train
H1
H06
75
75
10
12
10.666667
2.233155
-2.220341
-1.745992
-1.759526
4.842256
5.973411
5.472055
2.233155
2.220341
0.026218
3.095933
4.054368
4.973796
0.569483
0.574375
2.222963
4
train
H0
H06
100
100
10
9
9
0.429613
-0.435755
-0.31289
-0.311244
0.171003
0.141457
0.210551
0.429613
0.435755
0.661025
0.096873
0.13972
0.189695
0.00349
0.010988
0.438498
4
train
H1
H06
100
100
10
8
10
1.187152
-1.217399
-0.454216
-0.452067
2.450538
2.833485
3.237267
-0.452067
1.217399
0.198169
0.204365
0.744623
1.487745
0.232518
0.214638
1.223803
4
train
H0
H06
150
150
10
10
8
1.050609
-1.085894
-0.331377
-0.331461
2.950757
3.167562
2.872996
1.050609
1.085894
0.237759
0.109866
0.716002
1.17995
0.295417
0.275979
1.09365
4
train
H1
H06
150
150
10
7.333333
7.333333
3.646938
-3.642277
-3.393189
-3.490355
13.412462
13.697931
13.652688
-3.490355
3.642277
0.000238
12.18258
13.351584
13.409221
5.931889
5.950934
3.674869
4
train
H0
H06
200
200
10
9
9.5
0.755433
-0.765696
-0.386237
-0.386581
1.195098
1.456234
0.991786
-0.386581
0.765696
0.440698
0.149445
0.458645
0.586055
0.023633
0.017983
0.771015
4
train
H1
H06
200
200
10
10
7.5
3.398148
-3.432638
-2.495155
-2.517087
11.901628
12.148314
12.955169
3.398148
3.432638
0.000516
6.335729
9.707873
11.871666
0.89705
0.944057
3.472166
4
train
H0
H06
300
300
10
9.666667
7
-0.194846
0.173173
0.523351
0.523468
0.319984
7.307522
0.637488
0.523468
0.523351
0.062716
0.274019
0.180601
0.029973
0.585189
0.682292
-0.175078
4
train
H1
H06
300
300
10
10
8
2.381379
-2.423031
-1.314531
-1.315024
7.916253
7.465586
8.786975
2.381379
2.423031
0.012358
1.729288
4.022445
5.889605
0.029311
0.022703
2.441817
4
train
H0
H06
500
500
10
10.6
10
-1.621517
1.616478
1.586098
1.586051
2.881039
3.042716
2.724641
-1.621517
1.616478
0.103658
2.515559
2.947181
2.614399
1.266543
1.268681
-1.627373
4
train
H1
H06
500
500
10
9.6
8.4
4.097863
-4.136681
-2.795859
-2.808775
18.925871
19.04657
20.397713
4.097863
4.136681
0.000031
7.889219
13.572214
17.202022
0.541827
0.587444
4.165054
4
train
H0
H06
1,000
1,000
10
9.1
10
0.207352
-0.225413
0.057342
0.057312
0.118711
1.268206
0.324517
0.207352
0.225413
0.736696
0.003285
0.002983
0.050803
0.124196
0.12889
0.226764
4
train
H1
H06
1,000
1,000
10
10.7
9.4
4.875274
-4.905405
-3.525779
-3.542604
24.284669
24.192531
27.258864
4.875274
4.905405
0.000001
12.550046
19.101155
24.147909
1.449436
1.471426
4.939211