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
7,645
train
H0
H28
20
20
0
0
0
1.731206
-1.731206
-1.841225
-1.915654
3.72261
7.476597
3.671183
-1.915654
1.841225
0.058163
3.66973
3.233829
3.025669
2.441713
2.285103
1.75326
7,645
train
H1
H28
20
20
0
0
0
-0.13525
0.13525
0.336716
0.332724
0.121257
3.327695
0.23567
0.332724
0.336716
0.343807
0.110705
0.084837
0.018146
0.251772
0.441856
-0.136973
7,645
train
H0
H28
30
30
0
0
0
1.301029
-1.301029
-1.11527
-1.113985
1.990943
3.392054
1.69966
-1.113985
1.301029
0.189517
1.240962
1.733038
1.693974
0.34642
0.52378
1.312009
7,645
train
H1
H28
30
30
0
0
0
-0.192198
0.192198
0.361765
0.354647
0.212839
0.377523
0.188122
-0.192198
0.361765
0.846317
0.125774
0.064366
0.036723
0.255123
0.219174
-0.193819
7,645
train
H0
H28
50
50
0
0
0
0.799683
-0.799683
-0.565798
-0.559587
0.840505
1.14585
0.71995
-0.559587
0.799683
0.421563
0.313137
0.569781
0.638376
0.01878
0.043517
0.803712
7,645
train
H1
H28
50
50
0
0
0
-1.28225
1.28225
0.467431
0.467102
4.147171
4.612624
3.585972
-1.28225
1.28225
0.166462
0.218184
1.09185
1.646997
0.350965
0.248116
-1.28871
7,645
train
H0
H28
75
75
0
0
0
1.738412
-1.738412
-1.183494
-1.185516
4.193181
5.401559
3.521907
-1.185516
1.738412
0.083172
1.405448
2.69361
3.032164
0.109443
0.186327
1.732568
7,645
train
H1
H28
75
75
0
0
0
-1.35878
1.35878
0.8528
0.854523
3.254922
5.433776
2.341832
0.854523
1.35878
0.142654
0.73021
1.700806
1.850178
0.001476
0.022805
-1.354213
7,645
train
H0
H28
100
100
0
0
0
-0.733017
0.733017
1.027705
1.025533
1.172366
1.195824
1.163721
1.025533
1.027705
0.462427
1.051719
0.760507
0.53694
1.179609
1.157128
-0.734856
7,645
train
H1
H28
100
100
0
0
0
-0.105066
0.105066
-0.329719
-0.33058
1.511106
6.014263
0.796539
-0.105066
0.329719
0.110918
0.109283
0.001349
0.011016
0.468347
0.368548
-0.105329
7,645
train
H0
H28
150
150
0
0
0
-0.185025
0.185025
0.648064
0.646039
0.689664
0.800227
1.000263
0.646039
0.648064
0.606451
0.417367
0.195848
0.034216
0.901727
0.895079
-0.185334
7,645
train
H1
H28
150
150
0
0
0
-0.242263
0.242263
0.10729
0.107195
0.558087
3.64442
0.103912
0.107195
0.242263
0.302509
0.011491
0.11022
0.058648
0.003459
0.000103
-0.242668
7,645
train
H0
H28
200
200
0
0
0
-0.429013
0.429013
0.389146
0.387596
0.167696
0.309625
0.184837
-0.429013
0.429013
0.667523
0.15023
0.172918
0.183909
0.069732
0.061059
-0.42955
7,645
train
H1
H28
200
200
0
0
0
0.596812
-0.596812
-0.227075
-0.226273
0.203661
1.202589
0.703611
0.596812
0.596812
0.550134
0.0512
0.108414
0.356409
0.039121
0.053816
0.597559
7,645
train
H0
H28
300
300
0
0
0
0.187934
-0.187934
0.415521
0.415048
1.354527
1.423782
1.403768
0.415048
0.415521
0.495651
0.172265
0.001217
0.035299
0.859811
0.844414
0.188091
7,645
train
H1
H28
300
300
0
0
0
-1.597202
1.597202
1.861751
1.87557
4.086177
9.539698
3.522897
1.87557
1.861751
0.022913
3.517763
4.035424
2.55753
2.461322
2.696019
-1.598535
7,645
train
H0
H28
500
500
0
0
0
1.719209
-1.719209
-1.500515
-1.498954
2.780642
3.296126
2.957231
1.719209
1.719209
0.08542
2.246862
2.78238
2.956992
0.768475
0.751716
1.720069
7,645
train
H1
H28
500
500
0
0
0
-0.632851
0.632851
0.018586
0.018633
3.240202
5.476291
1.563245
-0.632851
0.632851
0.140064
0.000347
0.388645
0.400941
0.453229
0.408403
-0.633168
7,645
train
H0
H28
1,000
1,000
0
0
0
-0.343293
0.343293
0.307471
0.307195
0.094763
0.61733
0.118208
0.307195
0.343293
0.731314
0.094369
0.095215
0.117833
0.038205
0.031274
-0.343379
7,645
train
H1
H28
1,000
1,000
0
0
0
1.334529
-1.334529
-1.232728
-1.235836
1.644058
6.97025
1.804977
-1.235836
1.334529
0.072852
1.527292
1.125601
1.781712
0.677369
0.6399
1.334863
7,645
train
H0
H28
20
20
10
10
10
-0.699859
0.708674
0.490466
0.479582
0.727059
1.276933
0.604226
-0.699859
0.708674
0.482789
0.229999
0.440838
0.499354
0.029103
0.087093
-0.701825
7,645
train
H1
H28
20
20
10
5
10
0.100788
-0.068386
-0.341831
-0.339231
0.679067
5.744254
0.372492
0.100788
0.341831
0.124738
0.115078
0.008383
0.004643
0.269373
0.123484
0.064304
7,645
train
H0
H28
30
30
10
10
0
-1.342152
1.302487
1.844452
1.872137
4.230613
4.303757
4.198044
-1.342152
1.844452
0.122576
3.504896
2.46188
1.69699
4.638448
4.554225
-1.317438
7,645
train
H1
H28
30
30
10
6.666667
10
-0.049493
0.030059
-0.025522
-0.025101
0.14409
1.722595
0.026207
-0.025101
0.030059
0.631922
0.00063
0.007276
0.000899
0.001319
0.007764
-0.031258
7,645
train
H0
H28
50
50
10
8
10
-0.629609
0.644503
0.240369
0.237672
0.791537
1.080307
0.911971
-0.629609
0.644503
0.515613
0.056488
0.233112
0.414293
0.05485
0.062644
-0.650122
7,645
train
H1
H28
50
50
10
14
12
-1.078585
1.090125
0.584167
0.587741
2.673319
6.360271
2.028817
-1.078585
1.090125
0.095339
0.34544
1.006392
1.191644
0.070265
0.023576
-1.108924
7,645
train
H0
H28
75
75
10
6.666667
5.333333
1.930108
-1.955731
-0.996943
-1.008895
7.123343
9.182332
6.233057
1.930108
1.955731
0.026962
1.017868
2.87254
3.853613
0.03934
0.008934
1.965877
7,645
train
H1
H28
75
75
10
9.333333
5.333333
0.567706
-0.612386
0.344931
0.346372
2.257554
10.89485
3.986091
0.346372
0.612386
0.012308
0.119974
0.009639
0.376246
1.538327
1.756121
0.605179
7,645
train
H0
H28
100
100
10
11
7
-1.699844
1.697347
1.434186
1.437189
3.290928
4.542832
2.935573
-1.699844
1.697347
0.087481
2.065513
2.903765
2.89098
0.4936
0.641024
-1.708837
7,645
train
H1
H28
100
100
10
11
12
-0.541827
0.471439
0.790722
0.794448
0.650085
10.963196
0.777529
0.794448
0.790722
0.011927
0.631148
0.620411
0.22267
0.742604
0.928719
-0.487897
7,645
train
H0
H28
150
150
10
8.666667
10.666667
1.533204
-1.563583
-1.019712
-1.016195
2.293314
4.302983
2.952184
1.533204
1.563583
0.114845
1.032652
1.730485
2.447838
0.030703
0.026793
1.576785
7,645
train
H1
H28
150
150
10
13.333333
15.333333
-0.784227
0.837284
0.042643
0.042674
4.511505
10.866183
3.080305
-0.784227
0.837284
0.012472
0.001821
0.469382
0.701389
0.86734
0.700585
-0.844004
7,645
train
H0
H28
200
200
10
13
6.5
-1.88637
1.866728
2.022868
2.022433
4.113262
4.52382
4.125105
2.022433
2.022868
0.059533
4.090233
3.917157
3.486974
2.716656
2.643123
-1.884237
7,645
train
H1
H28
200
200
10
13
11.5
1.307431
-1.375568
-0.147972
-0.147737
5.073936
8.868871
7.280996
1.307431
1.375568
0.026239
0.021826
0.618264
1.896947
1.401712
1.440218
1.382566
7,645
train
H0
H28
300
300
10
11
10.666667
1.461308
-1.479787
-0.724946
-0.72702
5.015673
8.406
3.797095
-0.72702
1.479787
0.038325
0.528558
1.786419
2.191182
0.071213
0.046888
1.497876
7,645
train
H1
H28
300
300
10
10
9.666667
-0.092553
0.066413
0.516414
0.516191
0.564209
1.630394
0.937541
0.516191
0.516414
0.625771
0.266454
0.121252
0.004412
0.760207
0.765671
-0.066695
7,645
train
H0
H28
500
500
10
9.4
10.4
-1.177923
1.164029
1.268398
1.269167
1.616898
2.910731
1.620986
1.269167
1.268398
0.24099
1.610784
1.395734
1.355559
1.100288
1.04274
-1.172516
7,645
train
H1
H28
500
500
10
9.6
9
-0.166544
0.135242
0.574141
0.573536
0.411053
4.745991
0.895466
0.573536
0.574141
0.19137
0.328944
0.222376
0.0183
0.761138
0.822925
-0.13615
7,645
train
H0
H28
1,000
1,000
10
9.5
10.7
1.879919
-1.900116
-1.55948
-1.559611
2.927022
5.797586
3.59939
1.879919
1.900116
0.055432
2.432385
2.895182
3.611442
0.630969
0.605428
1.915473
7,645
train
H1
H28
1,000
1,000
10
8.5
9.8
0.851334
-0.886601
-0.275783
-0.27644
0.16748
27.103007
1.855692
-0.27644
0.886601
0.000006
0.076419
0.110018
0.786798
0.162461
0.189478
0.890946
7,645
train
H0
H28
20
20
20
35
5
-1.503326
1.581223
1.013975
1.008601
3.605479
4.443797
3.347926
-1.503326
1.581223
0.103266
1.017276
2.043206
2.504657
0.001802
0.014824
-1.629223
7,645
train
H1
H28
20
20
20
20
30
0.337107
-0.388737
0.003832
0.003768
1.125317
1.923392
0.992468
0.003768
0.388737
0.588458
0.000014
0.07286
0.150093
0.336123
0.232475
0.391557
7,645
train
H0
H28
30
30
20
16.666667
23.333333
-0.358614
0.352856
0.355077
0.349567
0.126635
0.298329
0.131002
-0.358614
0.355077
0.717791
0.122197
0.127335
0.123944
0.13397
0.11712
-0.361413
7,645
train
H1
H28
30
30
20
20
23.333333
0.05283
-0.023473
-0.346405
-0.349273
0.883169
2.332954
0.718667
-0.349273
0.346405
0.506237
0.121992
0.016129
0.000549
0.390913
0.347078
0.013758
7,645
train
H0
H28
50
50
20
30
20
-2.133864
2.123142
1.997774
2.029078
4.608078
4.608916
4.610742
-2.133864
2.123142
0.029337
4.117158
4.552748
4.552822
1.799559
1.87746
-2.178934
7,645
train
H1
H28
50
50
20
14
34
0.936633
-0.771073
-1.705634
-1.705243
6.19421
6.850576
5.902741
-1.705243
1.705634
0.052268
2.907855
1.267787
0.593929
5.459328
5.155192
0.821005
7,645
train
H0
H28
75
75
20
14.666667
25.333333
1.875333
-1.867205
-1.714
-1.712072
3.425726
3.404842
3.531076
1.875333
1.867205
0.059426
2.93119
3.326966
3.500306
1.081914
1.182933
1.88503
7,645
train
H1
H28
75
75
20
16
18.666667
-0.199464
0.111971
0.619353
0.62405
1.006428
2.770149
1.288876
0.62405
0.619353
0.428438
0.389439
0.155841
0.012537
1.144458
1.180225
-0.11088
7,645
train
H0
H28
100
100
20
16
22
0.156886
-0.214268
0.247635
0.248019
0.867034
1.175991
0.963434
0.156886
0.247635
0.617722
0.061513
0.000441
0.045862
0.544666
0.567628
0.218847
7,645
train
H1
H28
100
100
20
22
23
-0.674363
0.610749
0.947497
0.948949
1.03493
2.239883
1.154932
-0.674363
0.947497
0.524136
0.900504
0.666394
0.373294
1.249649
1.3072
-0.627042
7,645
train
H0
H28
150
150
20
18.666667
17.333333
1.182328
-1.2223
-0.563747
-0.56245
2.38634
3.04011
3.002817
1.182328
1.2223
0.216421
0.316349
0.82279
1.497163
0.105681
0.102382
1.236101
7,645
train
H1
H28
150
150
20
26
22.666667
-0.675009
0.460135
1.415588
1.435123
4.013911
13.130661
5.197501
1.435123
1.415588
0.004362
2.059578
0.942532
0.211982
4.574178
5.093462
-0.470833
7,645
train
H0
H28
200
200
20
20.5
20
1.155388
-1.137132
-1.179204
-1.181315
1.435435
1.469812
1.425711
-1.181315
1.179204
0.249381
1.395505
1.423236
1.293358
0.799491
0.822125
1.151855
7,645
train
H1
H28
200
200
20
23
19
0.086947
-0.25481
1.031727
1.037734
7.317055
11.244851
8.347674
1.037734
1.031727
0.010473
1.076893
0.1002
0.064955
5.079392
5.259719
0.258015
7,645
train
H0
H28
300
300
20
18
19.333333
0.634226
-0.603503
-0.659659
-0.65818
0.495881
1.018017
0.441264
-0.65818
0.659659
0.538797
0.4332
0.491377
0.364061
0.247697
0.270656
0.614633
7,645
train
H1
H28
300
300
20
20.333333
18.666667
0.678932
-0.768904
-0.16532
-0.165252
0.920095
6.297903
1.701901
-0.165252
0.768904
0.097983
0.027308
0.181597
0.591478
0.289539
0.338142
0.778895
7,645
train
H0
H28
500
500
20
22.2
18.8
-0.202631
0.144361
0.318672
0.31862
0.11277
5.821943
0.148598
0.31862
0.318672
0.120602
0.101518
0.099506
0.020833
0.154258
0.191662
-0.146518
7,645
train
H1
H28
500
500
20
19.2
17.2
0.567343
-0.629323
-0.061332
-0.061239
0.732707
2.776142
1.499703
0.567343
0.629323
0.427442
0.00375
0.071021
0.396199
0.32481
0.321228
0.640155
7,645
train
H0
H28
1,000
1,000
20
19.3
18.7
0.241869
-0.33641
0.520597
0.520709
3.377576
3.687768
3.269264
0.520709
0.520597
0.195024
0.271138
0.001632
0.11316
1.800983
1.82371
0.341086
7,645
train
H1
H28
1,000
1,000
20
20.3
19.9
-0.620623
0.512643
1.237195
1.237834
2.012998
10.939551
3.097631
-0.620623
1.237195
0.012057
1.532233
1.095403
0.263138
2.800671
2.937459
-0.521666
7,645
train
H0
H28
20
20
30
40
15
-1.77373
1.709864
1.866381
1.843375
3.414601
3.424451
3.410514
-1.77373
1.866381
0.078499
3.398032
3.283047
2.921527
2.200638
2.554474
-1.759463
7,645
train
H1
H28
20
20
30
35
20
0.987363
-1.1865
-0.068045
-0.067043
6.057347
6.373168
6.379502
0.987363
1.1865
0.041182
0.004495
0.570989
1.424755
1.45171
1.220441
1.190314
7,645
train
H0
H28
30
30
30
33.333333
30
0.165317
-0.217754
0.115427
0.114444
0.708572
0.684353
0.702183
0.114444
0.217754
0.703919
0.013097
0.006765
0.047184
0.440555
0.428445
0.210879
7,645
train
H1
H28
30
30
30
30
23.333333
-0.428997
0.366997
0.590135
0.581579
0.371154
2.475753
0.437687
0.581579
0.590135
0.479689
0.338234
0.268691
0.133914
0.561397
0.686616
-0.386309
7,645
train
H0
H28
50
50
30
34
30
0.151437
-0.016023
-0.488739
-0.490909
0.813605
1.526553
0.963986
-0.490909
0.488739
0.617551
0.240992
0.056881
0.000256
0.640532
0.673579
0.023459
7,645
train
H1
H28
50
50
30
34
28
1.331159
-1.542815
-0.630576
-0.630237
4.318947
10.033386
5.095481
1.331159
1.542815
0.018284
0.397198
1.256332
2.402526
0.339029
0.353914
1.596936
7,645
train
H0
H28
75
75
30
29.333333
29.333333
-0.48589
0.561969
0.202147
0.20072
0.641994
0.783551
0.697015
-0.48589
0.561969
0.568342
0.040288
0.190046
0.315181
0.049304
0.04093
-0.570495
7,645
train
H1
H28
75
75
30
37.333333
29.333333
-0.447826
0.275934
1.165078
1.169667
5.705488
8.59188
6.207588
1.169667
1.165078
0.035239
1.368121
0.499079
0.076281
4.682216
4.649329
-0.278288
7,645
train
H0
H28
100
100
30
26
29
0.124943
-0.117231
-0.427946
-0.429774
1.225512
7.446249
0.716539
0.124943
0.427946
0.058956
0.184706
0.012872
0.013724
0.567883
0.433607
0.123707
7,645
train
H1
H28
100
100
30
32
29
-0.206754
0.183242
0.41466
0.413452
0.338665
1.142989
0.441894
-0.206754
0.41466
0.766708
0.170943
0.118422
0.033562
0.455126
0.460178
-0.190999
7,645
train
H0
H28
150
150
30
26
27.333333
0.787491
-0.78063
-0.968377
-0.969442
1.212695
5.907633
1.026187
0.787491
0.968377
0.116192
0.939818
0.631687
0.609146
0.892315
0.773472
0.801587
7,645
train
H1
H28
150
150
30
26
30
0.677197
-0.729406
-0.377735
-0.377448
0.853828
0.826467
0.947841
-0.377448
0.729406
0.454116
0.142467
0.330279
0.531672
0.033628
0.02744
0.748571
7,645
train
H0
H28
200
200
30
25.5
29
1.556353
-1.424219
-1.942406
-1.959736
4.389076
4.688222
4.426783
-1.959736
1.942406
0.109329
3.840566
2.76022
2.029863
4.164143
4.278916
1.458303
7,645
train
H1
H28
200
200
30
25.5
31.5
1.85902
-2.033423
-1.159897
-1.160174
4.728535
15.540842
5.982447
1.85902
2.033423
0.001408
1.346003
2.515188
4.147178
0.007466
0.011152
2.085993
7,645
train
H0
H28
300
300
30
27
29.666667
-0.343178
0.418006
0.091815
0.091676
0.628131
0.862298
0.523802
0.091676
0.418006
0.669877
0.008404
0.115586
0.17466
0.081732
0.087156
-0.426316
7,645
train
H1
H28
300
300
30
33.333333
28.666667
0.345186
-0.645208
0.688028
0.687801
6.671066
14.270494
8.359405
0.687801
0.688028
0.002559
0.47307
0
0.416769
4.18277
4.344057
0.658237
7,645
train
H0
H28
500
500
30
30.2
28.8
0.09526
-0.164327
0.254651
0.254489
0.884628
0.816017
0.901799
0.09526
0.254651
0.637055
0.064765
0
0.027002
0.522851
0.525195
0.167595
7,645
train
H1
H28
500
500
30
26.8
29.2
1.501285
-1.626637
-0.849968
-0.849461
3.539662
6.039264
4.445117
-0.849461
1.626637
0.09521
0.721584
1.535472
2.64801
0.077941
0.072666
1.668531
7,645
train
H0
H28
1,000
1,000
30
31.3
29.4
-0.486994
0.353002
0.906114
0.905514
1.811514
1.805516
1.797606
-0.486994
0.906114
0.407057
0.819956
0.327735
0.124594
1.698379
1.672533
-0.363015
7,645
train
H1
H28
1,000
1,000
30
31.5
28
-0.48001
0.071436
1.769377
1.771811
10.189518
25.203781
13.151137
1.771811
1.769377
0.000014
3.139316
0.894127
0.005106
10.007157
10.219451
-0.07472
7,645
train
H0
H28
20
20
40
65
30
-0.563697
0.275814
0.920586
0.933884
3.074449
3.425496
3.138232
0.933884
0.920586
0.208229
0.872139
0.323302
0.075773
3.023515
2.988648
-0.254889
7,645
train
H1
H28
20
20
40
60
45
-0.618985
0.36154
0.905075
0.926512
3.061243
4.820296
2.966121
0.926512
0.905075
0.185439
0.858425
0.342964
0.130667
2.772701
2.621789
-0.325864
7,645
train
H0
H28
30
30
40
30
40
1.295578
-1.336839
-1.059266
-1.051663
2.069557
2.387518
1.985205
1.295578
1.336839
0.169258
1.105996
1.628304
1.797875
0.118485
0.169121
1.374591
7,645
train
H1
H28
30
30
40
33.333333
40
-0.320213
0.393445
0.131091
0.129456
0.447492
1.108046
0.368331
-0.320213
0.393445
0.693672
0.016759
0.117049
0.15416
0.03024
0.001301
-0.393877
7,645
train
H0
H28
50
50
40
44
42
0.530847
-0.623472
-0.378657
-0.37867
0.405404
4.860512
0.530202
-0.37867
0.623472
0.182301
0.143391
0.212803
0.388473
0.00247
0.011974
0.633133
7,645
train
H1
H28
50
50
40
36
46
-0.355294
0.529315
0.011824
0.01183
1.666984
2.348283
1.545961
0.01183
0.529315
0.461635
0.00014
0.139521
0.281091
0.393279
0.308142
-0.551065
7,645
train
H0
H28
75
75
40
34.666667
45.333333
0.152821
-0.091917
-0.218471
-0.217274
0.0523
1.337195
0.073529
-0.217274
0.218471
0.72032
0.047208
0.03222
0.008449
0.034687
0.069874
0.09907
7,645
train
H1
H28
75
75
40
36
30.666667
-0.559731
0.170668
1.46154
1.476569
7.198174
10.422586
7.981774
1.476569
1.46154
0.015295
2.180257
0.615607
0.029216
6.661911
6.722469
-0.199073
7,645
train
H0
H28
100
100
40
41
36
-0.069385
0.045224
0.173385
0.172971
0.135236
0.265284
0.120923
0.172971
0.173385
0.94133
0.029919
0.00835
0.002042
0.140247
0.132275
-0.04872
7,645
train
H1
H28
100
100
40
37
36
0.959671
-1.019747
-0.615781
-0.614217
1.572293
2.201203
1.735183
0.959671
1.019747
0.292736
0.377263
0.70498
1.042751
0.017553
0.018266
1.052138
7,645
train
H0
H28
150
150
40
40.666667
41.333333
0.163635
-0.37744
0.321657
0.323181
2.609446
2.640136
2.545821
0.323181
0.37744
0.280015
0.104446
0.017573
0.142402
1.336999
1.238323
0.39704
7,645
train
H1
H28
150
150
40
38.666667
42
1.521973
-1.59447
-1.318272
-1.323303
2.364265
4.542479
2.520898
-1.323303
1.59447
0.097307
1.751131
2.118908
2.543414
0.382165
0.378823
1.658054
7,645
train
H0
H28
200
200
40
40.5
45.5
1.98988
-2.052482
-1.82229
-1.826958
3.940004
5.452163
4.05859
1.98988
2.052482
0.034049
3.337776
3.890155
4.219176
1.147669
1.119475
2.119487
7,645
train
H1
H28
200
200
40
43.5
37.5
-0.958231
0.89993
0.996811
0.99505
1.024509
2.871396
0.991263
-0.958231
0.996811
0.34768
0.990125
1.088817
0.809708
0.729855
0.790488
-0.939099
7,645
train
H0
H28
300
300
40
39.666667
36.666667
-0.131713
0.024027
0.275667
0.275192
0.125697
2.529582
0.22874
0.275192
0.275667
0.469969
0.075731
0.043803
0.000577
0.21672
0.257711
-0.025879
7,645
train
H1
H28
300
300
40
37.666667
41.666667
0.901297
-1.115715
-0.437578
-0.437272
2.079882
4.212798
2.580183
0.901297
1.115715
0.239384
0.191207
0.605573
1.245433
0.223077
0.228685
1.158125
7,645
train
H0
H28
500
500
40
39.8
36
-0.559582
0.502722
0.7246
0.724311
0.801354
2.996767
0.677407
0.724311
0.7246
0.392124
0.524626
0.278376
0.252668
0.716305
0.678618
-0.518306
7,645
train
H1
H28
500
500
40
39.2
42.6
1.754619
-1.996639
-1.150692
-1.150771
5.230418
7.293141
5.80977
1.754619
1.996639
0.038301
1.324275
2.683672
3.988834
0.03026
0.031288
2.071622
7,645
train
H0
H28
1,000
1,000
40
40.6
39.1
-0.493619
0.650188
0.031173
0.031164
2.291164
2.499751
2.140909
-0.493619
0.650188
0.342853
0.000971
0.20956
0.422688
0.586697
0.555331
-0.670922
7,645
train
H1
H28
1,000
1,000
40
40.4
38
0.124037
-0.727539
1.170963
1.173092
12.940567
34.745753
16.305057
1.173092
1.170963
0
1.376144
0.056923
0.529745
9.1876
9.28674
0.755718