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
H07
20
20
10
15
5
-1.01981
1.006538
1.378017
1.390816
2.191268
2.103327
2.239772
-1.01981
1.378017
0.299108
1.934369
1.493604
1.026387
2.343415
2.355438
-1.038348
4
train
H1
H07
20
20
10
10
5
-1.641946
1.612746
1.903052
1.994235
4.475325
6.328429
4.319238
1.994235
1.903052
0.09668
3.976975
3.148271
2.618401
4.582263
4.424448
-1.640563
4
train
H0
H07
30
30
10
6.666667
10
-1.359412
1.361485
1.06404
1.079548
2.152356
2.594834
2.019677
-1.359412
1.361485
0.168426
1.165424
1.69579
1.861017
0.21772
0.371805
-1.377279
4
train
H1
H07
30
30
10
6.666667
3.333333
1.214106
-1.233071
-0.613421
-0.609489
2.210074
2.726062
2.5391
1.214106
1.233071
0.210317
0.371477
0.98219
1.529485
0.056435
0.039102
1.252694
4
train
H0
H07
50
50
10
10
8
0.091651
-0.112787
0.270913
0.267918
0.41909
1.655544
0.623862
0.091651
0.270913
0.646862
0.07178
0.006519
0.012674
0.469666
0.560017
0.110022
4
train
H1
H07
50
50
10
10
4
0.136586
-0.161232
0.351505
0.352128
1.753464
5.436291
1.203114
0.136586
0.351505
0.142499
0.123994
0.001062
0.025917
0.771554
0.630845
0.158687
4
train
H0
H07
75
75
10
9.333333
9.333333
0.561114
-0.585494
-0.155974
-0.155074
0.812251
1.885457
0.96119
0.561114
0.585494
0.560737
0.024048
0.17104
0.342463
0.145439
0.185356
0.581748
4
train
H1
H07
75
75
10
5.333333
10.666667
0.852459
-0.820334
-1.249743
-1.249986
1.686497
5.430701
1.935963
-1.249986
1.249743
0.142843
1.562465
1.180006
0.672097
1.841872
2.158662
0.826751
4
train
H0
H07
100
100
10
12
9
-0.176386
0.141999
0.909163
0.909652
3.135213
3.160815
3.056261
0.909652
0.909163
0.216941
0.827466
0.197521
0.020125
2.510999
2.462864
-0.147928
4
train
H1
H07
100
100
10
10
16
0.741348
-0.792623
-0.141095
-0.140517
1.639632
2.274279
1.980142
0.741348
0.792623
0.37155
0.019745
0.278044
0.627504
0.38491
0.388274
0.80225
4
train
H0
H07
150
150
10
8.666667
8
-0.487771
0.491585
0.281999
0.280887
0.35254
0.353884
0.353585
0.280887
0.491585
0.622172
0.078897
0.179723
0.241389
0.000161
0.000297
-0.492774
4
train
H1
H07
150
150
10
7.333333
11.333333
2.891423
-2.883781
-2.682213
-2.70866
8.054731
12.036448
8.472553
2.891423
2.883781
0.003706
7.336841
7.996945
8.373968
3.28166
3.168295
2.902169
4
train
H0
H07
200
200
10
11
8
0.146432
-0.174862
0.327669
0.326531
1.01141
0.938661
1.023427
0.326531
0.327669
0.599468
0.106622
0.000318
0.030559
0.641034
0.611689
0.176326
4
train
H1
H07
200
200
10
14.5
9.5
1.780328
-1.82587
-1.134256
-1.135691
3.270403
6.719949
4.253008
1.780328
1.82587
0.06478
1.289793
2.320364
3.342634
0.012487
0.004185
1.846771
4
train
H0
H07
300
300
10
10
11.666667
1.384916
-1.404077
-1.100991
-1.099453
1.511643
6.107741
2.024018
1.384916
1.404077
0.106484
1.208797
1.478985
1.973302
0.229848
0.200587
1.412316
4
train
H1
H07
300
300
10
8.666667
7.666667
-0.742378
0.757876
0.731605
0.730071
0.573249
0.586163
0.575312
-0.742378
0.757876
0.445889
0.533004
0.602984
0.574724
0.268729
0.291776
-0.762287
4
train
H0
H07
500
500
10
8
9
1.02064
-1.041069
-0.365057
-0.364854
2.528581
2.494839
2.435343
-0.364854
1.041069
0.295106
0.133118
0.663199
1.083897
0.215402
0.188757
1.046987
4
train
H1
H07
500
500
10
9.4
10
3.842271
-3.824048
-3.746494
-3.783462
15.434276
15.407877
15.396414
-3.783462
3.824048
0.000118
14.314586
15.402275
14.693553
7.636201
7.700644
3.850907
4
train
H0
H07
1,000
1,000
10
9.2
9.9
-0.059111
0.063762
-0.121037
-0.121105
0.495033
2.273605
0.150276
-0.121105
0.121037
0.517596
0.014666
0.011462
0.004065
0.080342
0.075592
-0.064365
4
train
H1
H07
1,000
1,000
10
9.1
9.4
2.783697
-2.796214
-2.193014
-2.195172
8.328286
8.389431
8.151915
2.783697
2.796214
0.004903
4.818781
7.136915
7.826464
0.980735
1.012139
2.81331
4
train
H0
H07
20
20
20
20
25
-1.48415
1.446155
1.46548
1.509968
2.372081
2.470821
2.359002
-1.48415
1.46548
0.124458
2.280003
2.343921
2.150137
1.452084
1.589784
-1.536329
4
train
H1
H07
20
20
20
5
25
1.377728
-1.363122
-1.542605
-1.526206
2.335037
2.433057
2.330653
-1.526206
1.542605
0.159555
2.329305
2.101668
1.856922
1.478338
1.473998
1.40657
4
train
H0
H07
30
30
20
20
13.333333
-1.087655
1.066555
1.150875
1.141043
1.322433
1.336132
1.314917
-1.087655
1.150875
0.275127
1.301979
1.308797
1.136957
0.972406
1.035177
-1.091331
4
train
H1
H07
30
30
20
20
23.333333
0.946449
-1.000754
-0.771307
-0.779669
1.321776
7.975544
0.987018
-0.779669
1.000754
0.04652
0.607883
1.074954
1.005559
0.130882
0.243421
1.000883
4
train
H0
H07
50
50
20
22
36
1.165546
-1.028684
-1.54073
-1.540596
3.10874
3.869488
2.988637
1.165546
1.54073
0.224401
2.373436
1.516938
1.057739
2.700335
2.606648
1.079496
4
train
H1
H07
50
50
20
12
18
1.036812
-1.016149
-0.809963
-0.804727
0.893085
6.715551
1.205806
1.036812
1.016149
0.081539
0.647585
0.724807
1.031224
0.0717
0.03699
1.02971
4
train
H0
H07
75
75
20
26.666667
20
-1.689985
1.8848
0.550629
0.556295
10.329651
10.673017
10.593952
-1.689985
1.8848
0.005007
0.309464
1.984271
3.569575
2.027957
1.921771
-1.912425
4
train
H1
H07
75
75
20
17.333333
21.333333
0.607117
-0.436921
-1.202102
-1.212944
2.429614
9.370349
3.213838
-1.212944
1.202102
0.024751
1.471232
0.728336
0.190987
3.103259
3.710826
0.448605
4
train
H0
H07
100
100
20
23
26
0.41895
-0.537352
0.025406
0.025443
1.021061
4.675716
1.440047
0.025443
0.537352
0.197142
0.000647
0.063407
0.28859
0.434546
0.532982
0.552627
4
train
H1
H07
100
100
20
26
16
-0.848057
0.784267
1.11122
1.106909
1.296812
2.851239
1.396269
-0.848057
1.11122
0.415134
1.225248
0.960555
0.614095
1.489012
1.639213
-0.805855
4
train
H0
H07
150
150
20
22.666667
20.666667
-1.154537
1.124216
1.351876
1.354712
1.960445
3.178739
1.884773
-1.154537
1.351876
0.251111
1.835245
1.429044
1.266478
1.71265
1.651527
-1.147656
4
train
H1
H07
150
150
20
16
22.666667
1.515883
-1.392712
-2.248982
-2.26928
7.258158
7.65016
7.413119
-2.26928
2.248982
0.024562
5.149631
3.234136
1.943736
7.234278
7.190207
1.414965
4
train
H0
H07
200
200
20
19.5
20.5
0.404147
-0.444776
-0.101717
-0.101418
0.475406
2.000861
0.62561
-0.101418
0.444776
0.572228
0.010286
0.080754
0.197675
0.116023
0.156819
0.450509
4
train
H1
H07
200
200
20
23
20.5
-0.406283
0.524131
-0.329145
-0.33
4.320906
6.589618
3.52152
-0.33
0.524131
0.086194
0.1089
0.087135
0.274572
1.636411
1.509339
-0.535056
4
train
H0
H07
300
300
20
16.666667
19.333333
-0.061406
0.05589
0.092563
0.092594
0.065089
1.84225
0.011674
-0.061406
0.092563
0.605784
0.008574
0.04109
0.003126
0.010314
0.013254
-0.055879
4
train
H1
H07
300
300
20
21.333333
24
1.680525
-1.656377
-1.631352
-1.633286
2.889639
2.955097
2.872561
1.680525
1.656377
0.091428
2.667623
2.85974
2.744575
1.285813
1.320805
1.687913
4
train
H0
H07
500
500
20
18.6
21.2
1.794652
-1.828292
-1.368297
-1.367914
3.938668
4.179729
3.671408
1.794652
1.828292
0.063478
1.871189
3.065934
3.343634
0.237314
0.240094
1.855826
4
train
H1
H07
500
500
20
20.2
21.6
2.220574
-2.141181
-2.534496
-2.546066
6.679518
7.011762
6.566708
-2.546066
2.534496
0.029507
6.482453
5.194016
4.592357
5.314889
5.457314
2.176645
4
train
H0
H07
1,000
1,000
20
19.9
20.4
2.15795
-2.160425
-1.904315
-1.905264
4.862337
5.039066
4.688649
2.15795
2.160425
0.028549
3.630031
4.650271
4.669922
1.197347
1.253238
2.189661
4
train
H1
H07
1,000
1,000
20
21.8
21.9
3.53465
-3.465239
-3.511396
-3.53432
13.248817
14.123165
13.035645
-3.53432
3.511396
0.000436
12.491418
13.151644
12.032249
7.005876
7.169995
3.517243
4
train
H0
H07
20
20
30
40
30
-0.568031
0.768198
0.248328
0.246825
1.125017
2.968264
1.284592
0.246825
0.768198
0.396544
0.060923
0.287079
0.588594
0.146565
0.203719
-0.762983
4
train
H1
H07
20
20
30
10
45
2.474303
-2.387828
-2.754123
-2.883038
8.999178
9.393
8.938896
-2.883038
2.754123
0.011454
8.31191
6.944092
5.791321
7.407552
7.284346
2.504356
4
train
H0
H07
30
30
30
20
20
0.126683
-0.260382
0.800133
0.825176
7.482537
7.712354
7.22255
0.126683
0.800133
0.027017
0.680915
0.033129
0.06777
4.044035
3.815357
0.243472
4
train
H1
H07
30
30
30
26.666667
30
2.146339
-2.107126
-2.15534
-2.282018
5.207923
5.230559
5.208019
-2.282018
2.15534
0.028858
5.207607
4.976394
4.563137
3.229906
3.214983
2.185426
4
train
H0
H07
50
50
30
24
32
-0.234811
0.251832
0.453831
0.457453
0.755407
5.194925
0.491307
-0.234811
0.453831
0.158068
0.209263
0.066974
0.063287
0.553443
0.434428
-0.266042
4
train
H1
H07
50
50
30
40
22
-0.600671
0.518545
0.842626
0.842262
1.106448
1.162977
1.077771
0.842262
0.842626
0.583398
0.709406
0.42362
0.268108
1.282968
1.295833
-0.528288
4
train
H0
H07
75
75
30
28
24
0.004549
-0.164856
0.591373
0.590313
2.121242
3.619224
2.521704
0.004549
0.591373
0.283412
0.34847
0.035099
0.027169
1.719499
1.868485
0.162711
4
train
H1
H07
75
75
30
29.333333
16
-0.884073
0.833674
1.187432
1.178847
1.819776
3.14878
1.63791
-0.884073
1.187432
0.36925
1.389681
0.851773
0.694184
1.800048
1.634597
-0.855489
4
train
H0
H07
100
100
30
29
25
0.692595
-0.780831
-0.333878
-0.33327
1.318964
1.511697
1.309117
0.692595
0.780831
0.432628
0.111069
0.407952
0.609917
0.087166
0.101821
0.784703
4
train
H1
H07
100
100
30
33
29
0.632059
-0.670058
-0.397682
-0.398437
0.957957
3.776886
0.742121
0.632059
0.670058
0.286586
0.158752
0.4146
0.448897
0.008531
0.001293
0.686257
4
train
H0
H07
150
150
30
22.666667
35.333333
1.438584
-1.418096
-1.357315
-1.354169
2.082143
2.087979
2.067946
-1.354169
1.418096
0.147421
1.833773
2.090158
2.009179
0.736701
0.760168
1.448701
4
train
H1
H07
150
150
30
25.333333
34
3.265372
-3.222404
-3.258262
-3.307956
11.224241
11.273332
11.211877
-3.307956
3.258262
0.000998
10.94257
11.183617
10.49453
6.448736
6.587068
3.291098
4
train
H0
H07
200
200
30
27.5
30
-0.555371
0.53246
0.563195
0.562913
0.323901
0.321614
0.323932
0.562913
0.563195
0.58664
0.316871
0.305008
0.283438
0.229114
0.228486
-0.543711
4
train
H1
H07
200
200
30
31.5
30.5
0.538101
-0.33275
-1.212938
-1.224721
4.397351
5.683501
4.813037
-1.224721
1.212938
0.090129
1.499943
0.544978
0.110865
3.871888
3.904429
0.334495
4
train
H0
H07
300
300
30
29.333333
29.666667
-0.625877
0.732081
0.171283
0.171329
1.542205
2.203374
1.762625
0.171329
0.732081
0.414239
0.029353
0.259651
0.536086
0.277883
0.282649
-0.745214
4
train
H1
H07
300
300
30
31.666667
27
0.795625
-0.836407
-0.493293
-0.495053
1.012655
0.894087
1.119474
-0.495053
0.836407
0.391416
0.245078
0.468462
0.69978
0.01072
0.005781
0.857052
4
train
H0
H07
500
500
30
33.8
30.8
0.027096
-0.169099
0.481348
0.480657
2.125913
2.115394
2.091115
0.480657
0.481348
0.351496
0.231031
0.003859
0.028586
1.355318
1.375789
0.172801
4
train
H1
H07
500
500
30
29.6
28.4
2.30612
-2.347104
-2.01806
-2.027179
5.199665
6.871021
5.462054
2.30612
2.347104
0.016436
4.109456
5.029696
5.521093
1.221259
1.189281
2.399086
4
train
H0
H07
1,000
1,000
30
31.2
30.9
-0.574176
0.462213
0.810701
0.811125
0.781091
4.289817
0.948524
0.811125
0.810701
0.231822
0.657923
0.461969
0.213634
0.973582
1.033148
-0.471032
4
train
H1
H07
1,000
1,000
30
33.2
27.7
0.398623
-0.575463
0.31763
0.317857
3.826161
4.396944
4.033855
0.317857
0.575463
0.133064
0.101033
0.052207
0.331187
1.753764
1.77681
0.590473
4
train
H0
H07
20
20
40
35
40
0.611034
-0.505554
-0.903302
-0.918993
2.08062
5.811883
1.907306
-0.918993
0.903302
0.12113
0.844548
0.418389
0.254233
1.642256
1.478379
0.524845
4
train
H1
H07
20
20
40
35
40
0.200753
-0.261834
-0.162341
-0.159689
0.028586
2.786402
0.049872
-0.159689
0.261834
0.425743
0.025501
0.024039
0.059777
0.007075
0.030311
0.267086
4
train
H0
H07
30
30
40
46.666667
56.666667
0.789772
-0.910057
-0.795117
-0.794069
0.641356
6.716293
0.632988
0.789772
0.910057
0.081512
0.630545
0.804998
0.827001
0.314164
0.347659
0.933249
4
train
H1
H07
30
30
40
43.333333
50
0.609531
-0.38647
-0.95058
-0.964714
2.585634
7.638353
2.798901
-0.964714
0.95058
0.054108
0.930672
0.480047
0.150031
2.006085
2.06824
0.378034
4
train
H0
H07
50
50
40
44
38
0.466208
-0.465139
-0.336734
-0.338131
0.421005
0.657871
0.394356
-0.338131
0.465139
0.636276
0.114333
0.187564
0.216504
0.007305
0.004745
0.472912
4
train
H1
H07
50
50
40
44
40
0.283776
-0.447399
-0.029602
-0.029334
0.819935
0.873452
0.805081
0.283776
0.447399
0.647617
0.000861
0.105532
0.199742
0.303602
0.262361
0.457075
4
train
H0
H07
75
75
40
48
48
0.112488
-0.006928
-0.388776
-0.389239
1.461674
8.900913
1.124162
-0.389239
0.388776
0.030638
0.151507
0.003299
0.000048
0.754313
0.595801
0.024835
4
train
H1
H07
75
75
40
38.666667
33.333333
-0.435911
0.523303
0.253158
0.254784
0.634497
2.698437
0.526729
0.254784
0.523303
0.440493
0.064915
0.207574
0.27373
0.007891
0.004991
-0.541115
4
train
H0
H07
100
100
40
33
37
0.004567
0.091454
-0.232382
-0.232201
0.35094
2.871029
0.500787
-0.232201
0.232382
0.41194
0.053917
0.010379
0.008356
0.248419
0.284755
-0.091633
4
train
H1
H07
100
100
40
38
37
-0.188248
0.048334
0.303742
0.302481
0.293994
1.502507
0.19834
-0.188248
0.303742
0.681692
0.091495
0.002489
0.002334
0.207008
0.140262
-0.049506
4
train
H0
H07
150
150
40
42.666667
34
-1.3178
1.531562
0.738259
0.739341
4.598479
4.870578
4.532386
-1.3178
1.531562
0.103706
0.546625
1.586552
2.344573
0.312038
0.355477
-1.590159
4
train
H1
H07
150
150
40
45.333333
34.666667
-0.02855
-0.052227
0.196984
0.197288
0.351376
0.377041
0.332094
0.197288
0.196984
0.847007
0.038922
0.000605
0.002728
0.280988
0.280319
0.053268
4
train
H0
H07
200
200
40
34
38
0.609081
-0.535753
-0.788139
-0.788873
0.916938
2.710099
0.816241
-0.788873
0.788139
0.438514
0.622321
0.34453
0.286799
0.728189
0.681515
0.549501
4
train
H1
H07
200
200
40
36
42
2.770316
-2.909573
-2.256053
-2.267067
9.701194
9.907325
9.541512
2.770316
2.909573
0.00283
5.139591
7.487962
8.495557
0.802525
0.830998
2.985574
4
train
H0
H07
300
300
40
37.333333
41.333333
0.72868
-0.579365
-1.069894
-1.071774
2.23546
2.921502
2.108314
-1.071774
1.069894
0.348486
1.1487
0.560132
0.335489
1.919916
1.878009
0.596358
4
train
H1
H07
300
300
40
41.666667
41.666667
1.611865
-1.578656
-1.643504
-1.658933
2.756601
8.722472
2.756977
-1.658933
1.643504
0.033218
2.752057
2.412673
2.496056
1.814267
1.717426
1.622847
4
train
H0
H07
500
500
40
46.4
41
-0.453677
0.160318
1.025172
1.024647
4.588262
6.018668
4.849212
1.024647
1.025172
0.088513
1.049901
0.309851
0.0257
3.741999
3.770044
-0.16643
4
train
H1
H07
500
500
40
39
39.4
1.771185
-1.794168
-1.592506
-1.596209
3.462732
5.699354
3.227395
-1.596209
1.794168
0.06493
2.547882
3.37693
3.223234
0.819043
0.880567
1.845741
4
train
H0
H07
1,000
1,000
40
40.9
40.5
-0.519458
0.246055
0.996836
0.997247
2.746171
4.764552
3.066285
0.997247
0.996836
0.189872
0.994502
0.346832
0.060543
2.672405
2.747108
-0.252491
4
train
H1
H07
1,000
1,000
40
41.5
39.5
2.239022
-2.385772
-1.750674
-1.75627
6.285745
7.120422
6.530986
2.239022
2.385772
0.013906
3.084486
4.76823
5.699633
0.223573
0.21617
2.459677
4
train
H0
H07
20
20
50
45
40
-0.799899
0.6486
1.129076
1.146974
2.853551
2.839223
2.863032
-0.799899
1.129076
0.238946
1.31555
0.744845
0.422468
3.336768
3.282693
-0.722353
4
train
H1
H07
20
20
50
60
40
-1.162026
1.351614
0.995229
0.976682
1.834429
2.368151
1.789679
0.976682
1.351614
0.164968
0.953907
1.629925
1.818067
0.162712
0.37547
-1.388556
4
train
H0
H07
30
30
50
40
40
0.52091
-0.511885
-0.434985
-0.432502
0.301696
0.423584
0.318749
-0.432502
0.511885
0.593649
0.187058
0.226289
0.260827
0.000286
0.000166
0.533556
4
train
H1
H07
30
30
50
53.333333
50
0.19705
-0.17666
-0.208747
-0.208156
0.045455
0.342472
0.044203
-0.208156
0.208747
0.845659
0.043329
0.03412
0.031191
0.000611
0.000158
0.19466
4
train
H0
H07
50
50
50
62
52
-0.504163
0.381709
0.599441
0.596581
0.51103
1.879435
0.4826
0.596581
0.599441
0.597803
0.355909
0.188795
0.145501
0.665724
0.621261
-0.407936
4
train
H1
H07
50
50
50
54
54
-0.207828
0.565944
-0.297776
-0.295854
4.489803
4.625175
4.427513
-0.295854
0.565944
0.109289
0.087529
0.059267
0.319568
2.06252
2.443189
-0.573912
4
train
H0
H07
75
75
50
56
42.666667
-1.641577
1.596485
1.631951
1.630446
2.711312
2.71086
2.712045
1.630446
1.631951
0.101847
2.658354
2.653571
2.548176
1.81243
1.819698
-1.635964
4
train
H1
H07
75
75
50
46.666667
46.666667
-0.402895
0.623453
-0.015569
-0.01549
2.437607
3.450868
2.60702
-0.01549
0.623453
0.271577
0.00024
0.123185
0.388214
0.698349
0.720525
-0.630244
4
train
H0
H07
100
100
50
40
57
1.425438
-1.14651
-1.696062
-1.697894
3.617055
3.628402
3.627623
-1.697894
1.696062
0.163032
2.882843
1.946723
1.313058
3.276323
3.279684
1.178066
4
train
H1
H07
100
100
50
44
53
2.612802
-2.552152
-2.595392
-2.647348
7.094417
7.106014
7.093461
2.612802
2.595392
0.007794
7.008454
6.996452
6.592025
3.991964
3.996216
2.660864
4
train
H0
H07
150
150
50
52.666667
52
0.264723
-0.245501
-0.218401
-0.217871
0.091295
0.177379
0.098066
-0.217871
0.245501
0.799292
0.047468
0.051953
0.060266
0.000046
0.000052
0.254263
4
train
H1
H07
150
150
50
49.333333
50
1.245216
-1.152572
-1.257562
-1.262975
1.598107
2.196161
1.604409
-1.262975
1.257562
0.227592
1.595105
1.397749
1.332304
0.902001
0.929617
1.206586
4
train
H0
H07
200
200
50
46.5
47
-0.482513
0.466566
0.354472
0.355547
0.561468
5.578821
0.406969
0.355547
0.466566
0.134
0.126414
0.272444
0.217716
0.000077
0.001671
-0.48374
4
train
H1
H07
200
200
50
49.5
49.5
0.747892
-0.837118
-0.557862
-0.558219
0.864498
2.220835
0.967286
-0.558219
0.837118
0.382664
0.311608
0.465307
0.700787
0.000589
0.002287
0.872998
4
train
H0
H07
300
300
50
55
52.333333
-0.495699
0.335347
0.637408
0.637338
0.668563
1.266014
0.705878
-0.495699
0.637408
0.70262
0.4062
0.230044
0.112437
0.786742
0.810272
-0.34795
4
train
H1
H07
300
300
50
47.666667
49.666667
0.898627
-0.776986
-1.068066
-1.068397
1.329139
2.264773
1.393503
-1.068397
1.068066
0.418816
1.141472
0.90699
0.603987
1.226666
1.274691
0.808478
4
train
H0
H07
500
500
50
51.6
52
-0.312594
0.345037
0.195176
0.19499
0.30247
0.428382
0.27997
-0.312594
0.345037
0.720098
0.038021
0.098455
0.119038
0.005393
0.002771
-0.358328
4
train
H1
H07
500
500
50
50.8
52.2
1.453048
-1.250998
-1.636892
-1.643171
3.047023
3.175083
3.064031
-1.643171
1.636892
0.194058
2.700011
2.060415
1.566513
2.760799
2.776765
1.298667
4
train
H0
H07
1,000
1,000
50
48.8
50.6
0.013848
-0.076886
0.039609
0.039639
0.017972
2.060642
0.045639
0.039639
0.076886
0.559916
0.001571
0.000705
0.005911
0.029931
0.035489
0.079913
4
train
H1
H07
1,000
1,000
50
50.6
48.1
1.149011
-1.153356
-1.120366
-1.124905
1.30004
2.370556
1.326019
-1.124905
1.153356
0.231045
1.265411
1.263594
1.33121
0.592289
0.580436
1.197671