iter
int64
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7.65k
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1 value
H0_H1
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2 values
Hi
stringclasses
27 values
n1
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20
1k
n2
int64
20
1k
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int64
0
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float64
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float64
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logrank_test
float64
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CoxMantel_test
float64
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BN_GPH_test
float64
0
109
BN_MCE_test
float64
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143
BN_SCE_test
float64
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Q_test
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MAX_Value_test
float64
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MIN3_test
float64
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WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
float64
0
99.4
WLg_Breslow_test
float64
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WLg_PetoPrentice_test
float64
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WLg_Prentice_test
float64
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WKM_test
float64
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6
train
H0
H04
20
20
0
0
0
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0.250815
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0.035527
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6
train
H1
H04
20
20
0
0
0
-0
0
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0.620549
2.78752
0.377083
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0.281303
0.425558
0.077127
0.003433
0
0.197993
0.109965
-0
6
train
H0
H04
30
30
0
0
0
0.177413
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-0.87579
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2.787385
2.973894
2.641202
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0.87579
0.266975
0.774377
0.214673
0.031326
1.879939
1.736515
0.17891
6
train
H1
H04
30
30
0
0
0
-0.473102
0.473102
0.102174
0.100143
0.661255
0.642969
0.652292
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0.473102
0.633295
0.010029
0.11236
0.222536
0.079613
0.046395
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6
train
H0
H04
50
50
0
0
0
-0.744533
0.744533
0.994487
1.000986
1.005524
5.023969
1.090758
1.000986
0.994487
0.17005
1.001972
0.914885
0.553432
1.030132
1.368099
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6
train
H1
H04
50
50
0
0
0
0.075832
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0.150831
1.876776
0.305529
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0.334416
0.598372
0.109576
0.062019
0.005733
0.219238
0.303384
0.076214
6
train
H0
H04
75
75
0
0
0
-0.513066
0.513066
1.055521
1.057377
1.591125
2.246955
1.867809
1.057377
1.055521
0.393016
1.118046
0.611474
0.262892
1.902169
1.973918
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6
train
H1
H04
75
75
0
0
0
-0.663415
0.663415
1.018661
1.021764
1.61703
3.365314
1.295016
1.021764
1.018661
0.338655
1.044002
0.553987
0.439386
1.380763
1.260205
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6
train
H0
H04
100
100
0
0
0
-0.217462
0.217462
0.457289
0.457819
0.828493
4.735039
0.357127
0.457819
0.457289
0.192259
0.209598
0.038936
0.047228
0.374889
0.294655
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6
train
H1
H04
100
100
0
0
0
-2.294342
2.294342
1.022001
1.018419
7.569164
8.08914
9.270727
-2.294342
2.294342
0.009703
1.037177
3.202845
5.31158
0.493147
0.455405
-2.3001
6
train
H0
H04
150
150
0
0
0
-0.279534
0.279534
0.790594
0.78968
1.418887
1.510178
1.323845
-0.279534
0.790594
0.515859
0.623595
0.207142
0.078047
1.273603
1.248465
-0.280002
6
train
H1
H04
150
150
0
0
0
-1.373712
1.373712
1.643621
1.647457
2.714387
2.744634
2.730109
1.647457
1.643621
0.168819
2.714114
2.412429
1.888786
2.202053
2.230312
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6
train
H0
H04
200
200
0
0
0
-0.249104
0.249104
0.2509
0.250144
0.131405
2.143217
0.066637
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0.2509
0.543219
0.062572
0.026587
0.062003
0.04192
0.024493
-0.249416
6
train
H1
H04
200
200
0
0
0
-0.999876
0.999876
0.810663
0.808224
0.890226
0.808475
1.015026
-0.999876
0.999876
0.316765
0.653227
0.825394
0.999912
0.166214
0.196077
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6
train
H0
H04
300
300
0
0
0
0.226086
-0.226086
0.8186
0.819928
4.104415
3.901382
4.340875
0.819928
0.8186
0.114128
0.672282
0.0329
0.051096
2.806205
2.737005
0.226274
6
train
H1
H04
300
300
0
0
0
-2.665929
2.665929
1.202099
1.212014
14.679528
15.959286
12.462824
1.212014
2.665929
0.001156
1.468978
5.175925
7.128348
0.57562
0.495762
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6
train
H0
H04
500
500
0
0
0
-0.076862
0.076862
0.222606
0.222696
0.494643
4.619138
0.105289
0.222696
0.222606
0.201906
0.049593
0.000465
0.005906
0.103579
0.080178
-0.0769
6
train
H1
H04
500
500
0
0
0
-0.870663
0.870663
0.066858
0.066777
2.152347
1.639895
2.678872
-0.870663
0.870663
0.261993
0.004459
0.279138
0.758169
0.575806
0.537998
-0.871098
6
train
H0
H04
1,000
1,000
0
0
0
0.94423
-0.94423
-0.637909
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0.758886
2.151753
1.023578
0.94423
0.94423
0.344932
0.40638
0.675291
0.891641
0.025505
0.020311
0.944466
6
train
H1
H04
1,000
1,000
0
0
0
-1.572658
1.572658
0.421002
0.421272
6.381638
6.0739
6.083691
-1.572658
1.572658
0.047747
0.17747
1.425774
2.474087
0.761946
0.721863
-1.573051
6
train
H0
H04
20
20
10
0
5
-1.335354
1.332978
1.059877
1.07533
2.33015
4.416887
1.883629
-1.335354
1.332978
0.175912
1.156335
1.802662
1.792125
0.173242
0.423094
-1.353451
6
train
H1
H04
20
20
10
0
15
-1.435339
1.453954
1.383005
1.454712
2.188034
2.220647
2.185835
-1.435339
1.453954
0.138785
2.116188
2.227933
2.146884
1.337368
1.383772
-1.480329
6
train
H0
H04
30
30
10
13.333333
10
0.078035
-0.108112
0.465311
0.458581
1.349423
1.298152
1.397893
0.458581
0.465311
0.497109
0.210297
0.013778
0.011624
1.029681
0.942285
0.097469
6
train
H1
H04
30
30
10
0
13.333333
0.09074
-0.089679
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0.74761
1.00934
0.620806
0.09074
0.446057
0.733151
0.192048
0.038912
0.008003
0.408147
0.328313
0.102505
6
train
H0
H04
50
50
10
10
6
-1.060535
1.057735
1.248138
1.247108
1.669982
3.959632
1.575685
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1.248138
0.265856
1.555277
1.216795
1.116684
1.494434
1.373621
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6
train
H1
H04
50
50
10
16
8
-0.674169
0.71695
0.481293
0.476694
0.476756
1.368055
0.533995
-0.674169
0.71695
0.463999
0.227237
0.433881
0.513055
0.015503
0.007404
-0.732278
6
train
H0
H04
75
75
10
14.666667
14.666667
-0.613255
0.628468
0.366171
0.364159
0.627706
0.664627
0.588159
0.364159
0.628468
0.529055
0.132612
0.308397
0.394067
0.00011
0.000098
-0.629449
6
train
H1
H04
75
75
10
8
9.333333
-1.404228
1.395008
1.652993
1.672564
2.896217
3.32686
2.850509
1.672564
1.652993
0.163033
2.797471
2.317358
1.952193
2.57535
2.502273
-1.394944
6
train
H0
H04
100
100
10
8
6
-0.155979
0.173747
-0.30092
-0.299921
1.064435
1.246301
0.9567
-0.299921
0.30092
0.619805
0.089953
0.000033
0.030133
0.473269
0.411882
-0.174163
6
train
H1
H04
100
100
10
14
8
-0.637476
0.667251
0.330442
0.32843
0.535257
0.807992
0.682815
-0.637476
0.667251
0.497459
0.107866
0.27283
0.444523
0.006359
0.003178
-0.678493
6
train
H0
H04
150
150
10
11.333333
13.333333
-0.626384
0.688921
-0.184663
-0.183996
2.246779
4.735927
3.20175
-0.183996
0.688921
0.192187
0.033854
0.07655
0.474948
1.146847
1.23899
-0.694832
6
train
H1
H04
150
150
10
11.333333
11.333333
-1.856858
1.835469
1.720045
1.729297
3.924195
5.712923
3.473447
-1.856858
1.835469
0.064034
2.990468
3.784159
3.375655
1.145541
1.253601
-1.851942
6
train
H0
H04
200
200
10
9.5
7
-0.099153
0.088771
0.164322
0.163873
0.027672
0.839718
0.037087
-0.099153
0.164322
0.839945
0.026854
0.023102
0.007874
0.046267
0.064188
-0.088809
6
train
H1
H04
200
200
10
8.5
11.5
-1.209063
1.276215
-0.021121
-0.021097
7.331273
8.020237
7.531056
-1.209063
1.276215
0.023155
0.000445
0.662528
1.630018
2.200803
2.197934
-1.281335
6
train
H0
H04
300
300
10
8.666667
11.333333
0.300227
-0.266381
-0.806663
-0.805005
1.35418
1.689591
1.507806
-0.805005
0.806663
0.470526
0.648034
0.243635
0.070928
1.32637
1.316933
0.26996
6
train
H1
H04
300
300
10
10
8.333333
-0.291981
0.317642
-0.165106
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1.06413
1.086753
0.96992
-0.291981
0.317642
0.615722
0.027224
0.024124
0.100839
0.382297
0.379383
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6
train
H0
H04
500
500
10
10.4
11
-0.838647
0.821754
0.915847
0.915886
0.878256
1.314986
0.841262
0.915886
0.915847
0.406932
0.838847
0.863964
0.675356
0.599804
0.622019
-0.829306
6
train
H1
H04
500
500
10
8
8.4
-0.97478
0.982981
0.710553
0.709816
1.107649
1.1427
1.061452
-0.97478
0.982981
0.322768
0.503838
0.858437
0.966161
0.056408
0.06223
-0.988785
6
train
H0
H04
1,000
1,000
10
10.6
7.9
-0.063773
0.027079
0.845331
0.845149
3.532837
4.247359
2.978417
-0.063773
0.845331
0.225551
0.714277
0.080008
0.000733
2.255688
2.195927
-0.027711
6
train
H1
H04
1,000
1,000
10
9.3
9.5
-4.197541
4.220056
3.283758
3.29344
17.577298
17.411022
18.651066
-4.197541
4.220056
0.000022
10.84675
15.426089
17.854981
1.722771
1.801422
-4.2471
6
train
H0
H04
20
20
20
25
25
0.388932
-0.470029
-0.001947
-0.001919
1.377205
2.305326
1.170084
0.388932
0.470029
0.511501
0.000004
0.11138
0.219291
0.427168
0.301946
0.450046
6
train
H1
H04
20
20
20
25
25
0.415589
-0.429985
-0.216725
-0.212881
0.493656
1.216377
0.411478
-0.212881
0.429985
0.654978
0.045318
0.150816
0.183665
0.072034
0.027168
0.446858
6
train
H0
H04
30
30
20
16.666667
30
0.608267
-0.578027
-0.75512
-0.744171
0.7688
6.337331
0.599523
0.608267
0.75512
0.096303
0.55379
0.289949
0.332777
0.535333
0.327459
0.602043
6
train
H1
H04
30
30
20
30
16.666667
-0.758553
0.754076
0.612987
0.611629
0.674429
0.829751
0.649935
0.611629
0.754076
0.443905
0.37409
0.517141
0.566057
0.141833
0.191864
-0.765615
6
train
H0
H04
50
50
20
18
26
1.376175
-1.416289
-0.951216
-0.94833
2.650737
2.718824
2.691268
1.376175
1.416289
0.151557
0.899329
1.574426
2.010217
0.01245
0.021763
1.434055
6
train
H1
H04
50
50
20
20
18
0.052427
-0.050501
-0.228075
-0.227159
0.174842
0.193506
0.210363
0.052427
0.228075
0.900161
0.051601
0.022684
0.002547
0.115811
0.110847
0.053505
6
train
H0
H04
75
75
20
18.666667
25.333333
1.230029
-1.194095
-1.141487
-1.139254
1.686809
3.163652
1.510905
-1.139254
1.194095
0.226306
1.2979
1.615313
1.425658
0.487007
0.600842
1.209929
6
train
H1
H04
75
75
20
14.666667
28
0.438946
-0.351604
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-0.923084
1.816875
1.912025
1.894096
-0.923084
0.927589
0.387884
0.852084
0.347621
0.123395
1.60769
1.574789
0.362938
6
train
H0
H04
100
100
20
20
13
-0.644558
0.651706
0.379889
0.378611
0.865674
1.974557
0.656259
-0.644558
0.651706
0.506695
0.143346
0.371917
0.423912
0.000346
0.00222
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6
train
H1
H04
100
100
20
25
20
-0.802118
0.822638
0.745506
0.742304
0.591324
1.654581
0.643547
-0.802118
0.822638
0.400646
0.551015
0.595113
0.676409
0.268536
0.239358
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6
train
H0
H04
150
150
20
20
19.333333
-0.519264
0.498901
0.48966
0.488091
0.238316
1.739205
0.270541
-0.519264
0.498901
0.614086
0.238233
0.188171
0.248835
0.12831
0.111205
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6
train
H1
H04
150
150
20
19.333333
18.666667
0.275363
-0.252758
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0.19851
0.350613
0.188824
0.275363
0.388332
0.797399
0.149872
0.092052
0.063813
0.155302
0.137704
0.256715
6
train
H0
H04
200
200
20
22
20.5
0.013433
-0.074004
0.257167
0.256521
0.449344
0.583101
0.459045
0.256521
0.257167
0.794913
0.065803
0.00164
0.005471
0.332404
0.341163
0.074017
6
train
H1
H04
200
200
20
21
18.5
-1.552132
1.609195
1.062157
1.061829
3.002703
4.335727
3.263316
-1.552132
1.609195
0.103727
1.12748
2.002446
2.592524
0.016124
0.010949
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6
train
H0
H04
300
300
20
24
21
-1.690932
1.641486
1.878334
1.882091
3.604214
4.726964
3.550943
-1.690932
1.878334
0.094631
3.542268
2.952932
2.69644
2.772009
2.679142
-1.671458
6
train
H1
H04
300
300
20
18.333333
19.333333
-1.23944
1.378802
0.114814
0.114995
8.483869
8.877464
7.836978
-1.23944
1.378802
0.019871
0.013224
0.961251
1.902114
2.04012
1.973807
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6
train
H0
H04
500
500
20
20.4
17.4
-0.493204
0.410217
0.947564
0.947059
1.904852
2.447565
1.691492
0.947059
0.947564
0.429237
0.896922
0.337683
0.168242
1.658474
1.600958
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6
train
H1
H04
500
500
20
21.8
20
-2.755314
2.825151
2.09044
2.092589
7.739712
11.688859
8.835244
-2.755314
2.825151
0.004161
4.378931
6.30544
8.002756
0.392367
0.37804
-2.865703
6
train
H0
H04
1,000
1,000
20
20.9
21.6
-0.163735
0.193934
0.067636
0.06758
0.029958
0.625907
0.070324
0.06758
0.193934
0.844255
0.004567
0.013597
0.037604
0.003749
0.005141
-0.196453
6
train
H1
H04
1,000
1,000
20
21.8
19.6
-2.6368
2.648224
2.374775
2.375547
6.625927
8.59926
6.968505
-2.6368
2.648224
0.007174
5.643223
6.609652
7.018406
1.983918
1.91001
-2.688651
6
train
H0
H04
20
20
30
40
35
-0.384284
0.447712
0.004448
0.004379
1.509213
2.131582
1.382107
0.004379
0.447712
0.501048
0.000019
0.086426
0.198783
0.274797
0.212971
-0.440152
6
train
H1
H04
20
20
30
5
5
-0.395825
0.394172
0.252914
0.246097
0.289816
0.882075
0.205327
-0.395825
0.394172
0.699856
0.060564
0.139126
0.154058
0.012078
0.047371
-0.385515
6
train
H0
H04
30
30
30
33.333333
23.333333
0.11197
-0.208182
0.310922
0.310317
1.770775
2.100239
1.651917
0.310317
0.310922
0.437815
0.096297
0.001386
0.039985
1.039331
0.853337
0.194934
6
train
H1
H04
30
30
30
33.333333
16.666667
-1.245369
1.249163
1.233902
1.224337
1.549507
2.170056
1.57974
-1.245369
1.249163
0.196824
1.499001
1.528346
1.559208
0.920524
0.803555
-1.290652
6
train
H0
H04
50
50
30
34
30
-0.753633
0.695533
0.91658
0.911212
0.86877
1.589246
0.912016
-0.753633
0.91658
0.472537
0.830307
0.698275
0.483477
0.957284
1.184217
-0.718357
6
train
H1
H04
50
50
30
26
34
-0.414795
0.383148
0.472555
0.474037
0.235598
0.38927
0.230422
0.474037
0.472555
0.694956
0.224711
0.176799
0.14686
0.293758
0.280902
-0.392139
6
train
H0
H04
75
75
30
36
28
-0.505752
0.472735
0.654044
0.652238
0.486201
1.192328
0.542297
0.652238
0.654044
0.629787
0.425414
0.387716
0.223119
0.475765
0.535396
-0.482027
6
train
H1
H04
75
75
30
30.666667
22.666667
-1.186807
1.039282
1.772358
1.797375
5.497842
5.558903
5.429334
1.797375
1.772358
0.066227
3.230556
1.875579
1.080333
5.769235
5.669929
-1.048345
6
train
H0
H04
100
100
30
29
30
-0.481603
0.574218
0.094984
0.094952
1.451621
2.167319
1.307493
-0.481603
0.574218
0.520094
0.009016
0.176053
0.329308
0.253358
0.216045
-0.585948
6
train
H1
H04
100
100
30
32
30
0.020056
-0.084571
0.17436
0.173914
0.506443
3.892156
0.308709
0.020056
0.17436
0.273347
0.030246
0.005611
0.007145
0.219552
0.155657
0.084635
6
train
H0
H04
150
150
30
24
33.333333
-0.180187
0.440805
-0.879707
-0.876305
8.461678
8.404853
8.386584
-0.876305
0.879707
0.015097
0.767911
0.001694
0.194194
5.013068
4.749554
-0.443535
6
train
H1
H04
150
150
30
30
30.666667
-0.121273
0.293793
-0.549942
-0.552252
3.93303
4.037208
3.79891
-0.552252
0.549942
0.14965
0.304982
0.000398
0.086265
2.13587
2.033607
-0.299983
6
train
H0
H04
200
200
30
38
28
-1.806819
1.690248
2.009688
2.007839
4.078426
4.169918
4.082722
2.007839
2.009688
0.081062
4.031417
3.400121
2.855962
3.388869
3.380562
-1.744557
6
train
H1
H04
200
200
30
29
30
0.456639
-0.45517
-0.397002
-0.396687
0.270554
1.590606
0.216789
0.456639
0.45517
0.643769
0.157361
0.237965
0.207075
0.031201
0.045707
0.462435
6
train
H0
H04
300
300
30
32
30.666667
0.676836
-0.76685
-0.373062
-0.372577
0.987313
1.155904
1.01364
-0.372577
0.76685
0.433649
0.138814
0.417159
0.587967
0.036108
0.039981
0.782963
6
train
H1
H04
300
300
30
32.333333
29.666667
-0.81299
0.822136
0.678237
0.676762
0.77958
1.042935
0.719826
-0.81299
0.822136
0.399727
0.458006
0.657377
0.675611
0.110907
0.127282
-0.84211
6
train
H0
H04
500
500
30
32
29.6
0.12636
-0.116664
-0.190252
-0.190132
0.047526
0.130092
0.058341
-0.190132
0.190252
0.904715
0.03615
0.028824
0.01361
0.045749
0.04344
0.119708
6
train
H1
H04
500
500
30
26
29.2
-2.124201
2.27662
1.166694
1.169781
10.031657
10.185889
9.569078
-2.124201
2.27662
0.008358
1.368387
3.843672
5.1891
0.376181
0.359624
-2.316391
6
train
H0
H04
1,000
1,000
30
30.6
30.5
-0.36304
0.452333
-0.116479
-0.116407
1.987326
2.612474
1.707463
-0.116407
0.452333
0.425823
0.013551
0.085633
0.204576
0.62102
0.573468
-0.46289
6
train
H1
H04
1,000
1,000
30
28.2
28.4
-2.685378
2.712466
2.209366
2.214466
8.023405
8.149669
7.83291
2.214466
2.712466
0.00563
4.903862
6.777576
7.364366
0.864526
0.934522
-2.768584
6
train
H0
H04
20
20
40
20
45
0.651613
-0.543545
-0.895115
-0.877966
1.01465
1.665078
1.074406
-0.877966
0.895115
0.562361
0.770824
0.505407
0.293279
0.817862
0.870796
0.579339
6
train
H1
H04
20
20
40
55
50
-0.197754
0.016629
0.437083
0.432859
1.273727
1.262957
1.268639
0.432859
0.437083
0.530296
0.187367
0.035478
0.000275
1.178326
1.124828
-0.044759
6
train
H0
H04
30
30
40
46.666667
46.666667
-0.033492
0.061957
-0.012642
-0.012486
0.039975
0.402873
0.02854
-0.012486
0.061957
0.939648
0.000156
0.003212
0.003818
0.005055
0.015205
-0.064612
6
train
H1
H04
30
30
40
40
43.333333
-1.204924
1.299039
1.010822
1.062453
1.809925
3.630926
1.867463
1.062453
1.299039
0.172766
1.128807
1.413279
1.691092
0.276794
0.27737
-1.363371
6
train
H0
H04
50
50
40
48
46
0.280786
-0.196606
-0.360131
-0.360703
0.186706
0.625178
0.201612
-0.360703
0.360131
0.831904
0.130106
0.08333
0.038582
0.120801
0.152567
0.212261
6
train
H1
H04
50
50
40
38
52
0.563433
-0.621091
-0.42207
-0.425981
0.629051
2.008649
0.572203
0.563433
0.621091
0.514711
0.18146
0.33582
0.384593
0.003832
0.000692
0.65152
6
train
H0
H04
75
75
40
33.333333
36
-0.196922
0.131117
0.293125
0.293256
0.105693
2.233601
0.15052
-0.196922
0.293125
0.52536
0.085999
0.068798
0.01719
0.206318
0.259613
-0.129607
6
train
H1
H04
75
75
40
33.333333
40
0.191785
-0.318924
0.14959
0.149675
1.05558
1.444033
1.111516
0.149675
0.318924
0.573637
0.022402
0.015722
0.101571
0.517377
0.588985
0.319147
6
train
H0
H04
100
100
40
47
33
-2.644679
2.621004
2.517853
2.524307
7.15003
7.687893
7.044403
-2.644679
2.621004
0.007021
6.372128
7.103431
6.913769
2.695484
3.021108
-2.695837
6
train
H1
H04
100
100
40
39
40
-0.282044
0.339636
0.22509
0.224953
0.115566
0.157034
0.104713
0.224953
0.339636
0.727862
0.050604
0.101186
0.115192
0.014937
0.005503
-0.347971
6
train
H0
H04
150
150
40
41.333333
44.666667
-0.612342
0.709711
0.325401
0.327556
1.211205
1.138714
1.212143
0.327556
0.709711
0.464181
0.107293
0.315835
0.503508
0.069845
0.054975
-0.73198
6
train
H1
H04
150
150
40
34.666667
40
-0.342313
0.490609
-0.045916
-0.045832
1.341627
1.52319
1.456003
-0.342313
0.490609
0.482873
0.002101
0.070394
0.240768
0.423668
0.417386
-0.500371
6
train
H0
H04
200
200
40
46
43.5
-0.157415
0.338213
-0.161404
-0.16131
1.147228
1.134421
1.182128
-0.157415
0.338213
0.553738
0.026021
0.020065
0.114361
0.482652
0.460578
-0.347677
6
train
H1
H04
200
200
40
38
45
-0.126551
0.092789
0.227453
0.22933
0.195561
0.891383
0.155468
-0.126551
0.227453
0.827507
0.052592
0.013195
0.008608
0.180573
0.157531
-0.09676
6
train
H0
H04
300
300
40
39
47.666667
2.015386
-1.97641
-1.971842
-1.970571
4.104761
4.151346
4.090299
2.015386
1.97641
0.040487
3.883151
4.247519
3.906079
1.891122
1.896065
2.048747
6
train
H1
H04
300
300
40
39
40.666667
-1.448485
1.623547
1.007648
1.008933
3.199045
4.785357
3.539641
-1.448485
1.623547
0.092993
1.017945
1.872414
2.641613
0.00054
0.00086
-1.679815
6
train
H0
H04
500
500
40
38
41
1.692355
-1.802989
-1.342887
-1.342386
3.419985
4.249796
3.574755
1.692355
1.802989
0.063296
1.802001
2.729307
3.251102
0.172122
0.164544
1.857104
6
train
H1
H04
500
500
40
41.6
37.6
-1.521025
1.292259
1.899539
1.907351
4.373755
4.932247
4.490136
1.907351
1.899539
0.10592
3.637988
2.53389
1.669835
4.569448
4.596071
-1.330888
6
train
H0
H04
1,000
1,000
40
40.6
38.7
0.066522
-0.036265
-0.192478
-0.192683
0.280486
1.84758
0.178796
0.066522
0.192478
0.604636
0.037127
0.001019
0.001315
0.125263
0.119509
0.037144
6
train
H1
H04
1,000
1,000
40
39
39.2
-2.396067
2.554699
1.766411
1.76896
8.879284
9.380652
8.454368
-2.396067
2.554699
0.00855
3.129219
5.696026
6.53215
0.02886
0.030918
-2.629549