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
H18
20
20
40
45
35
0.106527
0.046987
-0.404238
-0.407566
1.497913
1.724946
1.45185
-0.407566
0.404238
0.483877
0.16611
0.017429
0.002205
0.646137
0.584694
-0.029159
7,645
train
H1
H18
20
20
40
50
35
-1.658213
1.716345
1.680526
1.694904
2.905655
3.704505
2.925749
1.694904
1.716345
0.066698
2.872698
3.120458
3.01065
1.569633
1.580696
-1.833704
7,645
train
H0
H18
30
30
40
30
50
1.176182
-1.00719
-1.536444
-1.537568
3.370773
3.882125
3.281183
-1.537568
1.536444
0.193865
2.364116
1.526817
1.010514
2.819418
2.728157
1.043466
7,645
train
H1
H18
30
30
40
43.333333
33.333333
1.045433
-1.366039
-0.19962
-0.199759
6.990296
8.801659
7.499508
1.045433
1.366039
0.023524
0.039904
0.775349
1.906015
1.409864
1.350625
1.418503
7,645
train
H0
H18
50
50
40
48
38
-1.30336
1.242665
1.332541
1.342243
1.801635
2.390772
1.802961
-1.30336
1.332541
0.198622
1.801617
1.637722
1.541902
1.527152
1.492691
-1.285487
7,645
train
H1
H18
50
50
40
42
44
1.580999
-1.714378
-1.305137
-1.317147
3.061298
4.043776
3.167706
-1.317147
1.714378
0.076056
1.734877
2.408304
2.951196
0.228705
0.17685
1.774045
7,645
train
H0
H18
75
75
40
49.333333
40
-1.424297
1.359278
1.431439
1.433605
2.089474
2.378218
2.081167
-1.424297
1.431439
0.159143
2.055224
2.06895
1.846483
1.402491
1.495923
-1.40796
7,645
train
H1
H18
75
75
40
37.333333
40
1.295192
-1.39071
-0.890217
-0.889919
2.835101
4.161269
3.105318
-0.889919
1.39071
0.155233
0.791956
1.340655
1.933878
0.008785
0.007562
1.421288
7,645
train
H0
H18
100
100
40
46
34
-1.109931
1.02098
1.108529
1.108294
1.278982
1.777906
1.260325
-1.109931
1.108529
0.286882
1.228315
1.20563
1.040803
0.788021
0.851687
-1.064987
7,645
train
H1
H18
100
100
40
33
38
1.159223
-1.381494
-0.598791
-0.600323
3.119379
4.026813
3.497622
-0.600323
1.381494
0.152983
0.360388
1.066041
1.911231
0.211469
0.204323
1.429075
7,645
train
H0
H18
150
150
40
34
46.666667
2.088117
-1.857911
-2.464113
-2.470966
6.864019
7.330037
6.948638
-2.470966
2.464113
0.030983
6.105673
4.71693
3.457715
6.29132
6.345297
1.927381
7,645
train
H1
H18
150
150
40
46.666667
36.666667
-1.175452
0.99675
1.58904
1.588389
3.95325
4.48079
3.835671
1.588389
1.58904
0.146925
2.522979
1.512532
0.992673
4.1028
4.005448
-1.034195
7,645
train
H0
H18
200
200
40
41
37
1.077023
-1.281388
-0.443827
-0.444236
4.7728
4.775275
4.697536
1.077023
1.281388
0.095487
0.197346
0.99085
1.64398
0.566335
0.525748
1.321118
7,645
train
H1
H18
200
200
40
42
39
-0.279778
0.478515
-0.019513
-0.019519
0.84303
1.048571
0.893813
-0.019519
0.478515
0.620703
0.000381
0.098048
0.22892
0.33317
0.338643
-0.494854
7,645
train
H0
H18
300
300
40
42.333333
45.333333
-0.131329
0.582709
-0.696777
-0.697265
7.657254
10.177189
8.230723
-0.697265
0.696777
0.01632
0.486179
0.000716
0.339497
4.488811
4.50967
-0.600407
7,645
train
H1
H18
300
300
40
39
35.666667
0.606217
-0.923844
0.397355
0.397892
9.540131
9.877858
9.0911
0.397892
0.923844
0.010614
0.158318
0.229527
0.854152
3.672099
3.540351
0.955743
7,645
train
H0
H18
500
500
40
41.4
39.8
0.479186
-0.717982
-0.011859
-0.011865
1.888565
6.878932
2.365236
0.479186
0.717982
0.075858
0.000141
0.153811
0.515672
0.618243
0.690805
0.740844
7,645
train
H1
H18
500
500
40
39.6
39.6
2.670891
-2.964702
-1.881897
-1.886881
10.467907
15.764085
11.423028
2.670891
2.964702
0.001268
3.560321
6.490583
8.82348
0.018947
0.01367
3.05915
7,645
train
H0
H18
1,000
1,000
40
42.2
39.1
-1.577599
1.569863
1.511816
1.511326
2.488316
2.539347
2.490394
-1.577599
1.569863
0.105608
2.284106
2.545491
2.464533
1.051481
1.052284
-1.618252
7,645
train
H1
H18
1,000
1,000
40
41.5
39.6
1.982871
-2.477825
-0.818333
-0.818624
14.115097
19.972525
15.846322
1.982871
2.477825
0.000172
0.670145
3.176377
6.14617
1.799799
1.859561
2.562353
7,645
train
H0
H18
20
20
50
60
80
1.060042
-1.00496
-0.994455
-1.018214
1.297119
1.290943
1.295322
-1.018214
1.00496
0.293899
1.036761
1.050158
1.007252
0.126481
0.132445
1.049606
7,645
train
H1
H18
20
20
50
30
70
2.325356
-2.112962
-2.549976
-2.626272
8.464939
9.475848
8.407995
-2.626272
2.549976
0.014936
6.897302
5.513146
4.475962
7.732846
7.6082
2.113318
7,645
train
H0
H18
30
30
50
50
50
0.434869
-0.353726
-0.493365
-0.493466
0.269395
1.880217
0.28491
0.434869
0.493365
0.597636
0.243509
0.207851
0.124795
0.129451
0.162188
0.375873
7,645
train
H1
H18
30
30
50
50
43.333333
0.39591
-0.597573
0.031274
0.031199
2.788991
4.893666
2.540547
0.39591
0.597573
0.179751
0.000973
0.174054
0.357149
0.708878
0.537627
0.609254
7,645
train
H0
H18
50
50
50
42
36
-0.120788
0.19745
0.146859
0.14634
0.028852
0.218626
0.025944
0.14634
0.19745
0.838655
0.021415
0.025991
0.0389
0.044087
0.027804
-0.203614
7,645
train
H1
H18
50
50
50
46
38
-0.654778
0.443191
1.077858
1.075641
3.377578
5.743956
3.139623
1.075641
1.077858
0.124754
1.157003
0.435732
0.195929
2.960319
2.807475
-0.45949
7,645
train
H0
H18
75
75
50
57.333333
56
-0.835544
0.945649
0.670973
0.670933
1.241944
1.653605
1.206375
0.670933
0.945649
0.327566
0.450152
0.751087
0.895071
0.023855
0.031475
-0.979029
7,645
train
H1
H18
75
75
50
52
37.333333
-0.769954
0.700526
0.830428
0.828392
0.689871
0.69023
0.690617
0.828392
0.830428
0.462464
0.686234
0.595815
0.489667
0.655908
0.608458
-0.734795
7,645
train
H0
H18
100
100
50
50
52
0.63537
-0.64989
-0.528138
-0.526402
0.534864
0.608089
0.521458
0.63537
0.64989
0.497206
0.2771
0.368409
0.421802
0.006622
0.008049
0.678893
7,645
train
H1
H18
100
100
50
51
56
0.327735
-0.408365
-0.175983
-0.176804
0.475655
2.050439
0.539438
-0.176804
0.408365
0.562004
0.03126
0.080279
0.166636
0.103993
0.108502
0.431892
7,645
train
H0
H18
150
150
50
59.333333
54
-1.453222
1.273014
1.590826
1.593061
2.741153
3.305243
2.71168
-1.453222
1.590826
0.180046
2.537845
1.957245
1.621601
2.654031
2.488604
-1.340612
7,645
train
H1
H18
150
150
50
56.666667
54.666667
0.364531
-0.619239
-0.086748
-0.086628
1.747216
1.844014
1.716274
-0.086628
0.619239
0.423951
0.007504
0.192381
0.383299
0.461953
0.449145
0.639537
7,645
train
H0
H18
200
200
50
43.5
55
2.269226
-1.774466
-2.901273
-2.928988
14.095618
15.210706
13.791712
-2.928988
2.901273
0.001012
8.578972
4.819643
3.152439
13.426521
13.124884
1.835817
7,645
train
H1
H18
200
200
50
53
48
0.132567
-0.357732
0.174737
0.174841
1.462912
4.457736
1.648977
0.174841
0.357732
0.216091
0.03057
0.00847
0.127927
0.780949
0.796785
0.370486
7,645
train
H0
H18
300
300
50
51
48.333333
-0.94097
0.762307
1.147988
1.149277
1.74955
1.801731
1.77074
1.149277
1.147988
0.412562
1.320837
0.881776
0.581001
1.930229
1.915587
-0.792546
7,645
train
H1
H18
300
300
50
54.333333
51
0.666193
-0.717811
-0.55927
-0.560508
0.45748
3.049687
0.56058
-0.560508
0.717811
0.384028
0.31417
0.373791
0.515932
0.021864
0.011401
0.744853
7,645
train
H0
H18
500
500
50
48.8
48.4
0.14916
-0.114608
-0.135359
-0.135362
0.035256
0.875704
0.023186
-0.135362
0.135359
0.831287
0.018323
0.030962
0.013133
0.001994
0.002925
0.118925
7,645
train
H1
H18
500
500
50
47.8
53
3.096477
-3.076315
-2.917486
-2.928163
9.600089
10.225291
9.704822
3.096477
3.076315
0.001414
8.574139
9.315379
9.485874
3.408273
3.390691
3.191773
7,645
train
H0
H18
1,000
1,000
50
51.6
50.5
0.129604
-0.476158
0.33262
0.332487
3.287209
3.91475
3.434611
0.332487
0.476158
0.179549
0.110547
0.019408
0.226705
1.67345
1.668307
0.493606
7,645
train
H1
H18
1,000
1,000
50
51.9
49
1.4505
-1.854917
-0.73653
-0.737669
8.499963
8.855139
8.781539
1.4505
1.854917
0.012391
0.544155
2.065083
3.443789
0.921465
0.874617
1.931057
7,645
train
H0
H19
20
20
0
0
0
1.244304
-1.244304
-0.515152
-0.507425
3.155477
3.255995
3.130874
1.244304
1.244304
0.207613
0.257481
0.995928
1.560472
0.139318
0.080551
1.260156
7,645
train
H1
H19
20
20
0
0
0
-0.513952
0.513952
-0.377952
-0.386521
5.45559
9.258859
4.59788
-0.513952
0.513952
0.02604
0.149399
0.034218
0.263215
2.403405
2.051119
-0.520499
7,645
train
H0
H19
30
30
0
0
0
1.020125
-1.020125
-0.238111
-0.236073
3.14414
3.095146
3.058334
1.020125
1.020125
0.216716
0.05573
0.543534
1.040883
0.421929
0.3212
1.028734
7,645
train
H1
H19
30
30
0
0
0
-1.360167
1.360167
1.24262
1.232225
1.80849
2.042556
1.857993
-1.360167
1.360167
0.170174
1.518379
1.79255
1.852484
0.615905
0.6317
-1.371646
7,645
train
H0
H19
50
50
0
0
0
0.130983
-0.130983
-0.131182
-0.129466
0.017776
0.330949
0.018064
0.130983
0.131182
0.895267
0.016762
0.013814
0.017081
0.00338
0.000117
0.131642
7,645
train
H1
H19
50
50
0
0
0
-0.172345
0.172345
-0.329366
-0.329044
1.476037
3.507545
1.084424
-0.172345
0.329366
0.319785
0.10827
0.000303
0.029592
0.57596
0.453859
-0.173214
7,645
train
H0
H19
75
75
0
0
0
0.434133
-0.434133
-0.750275
-0.745674
0.802725
0.836209
0.757241
0.434133
0.750275
0.665252
0.556029
0.308348
0.188065
0.683947
0.648763
0.432674
7,645
train
H1
H19
75
75
0
0
0
-0.280025
0.280025
0.394006
0.390828
0.154554
0.84975
0.168631
0.390828
0.394006
0.78018
0.152747
0.119379
0.078206
0.194205
0.253086
-0.279084
7,645
train
H0
H19
100
100
0
0
0
0.554649
-0.554649
-0.439155
-0.436686
0.559905
1.627418
0.315989
-0.436686
0.554649
0.578183
0.190695
0.361139
0.307192
0.034118
0.062131
0.556041
7,645
train
H1
H19
100
100
0
0
0
-1.109299
1.109299
0.12208
0.121772
2.943153
7.09205
4.235008
-1.109299
1.109299
0.069021
0.014829
0.463151
1.232561
0.939955
1.07474
-1.112082
7,645
train
H0
H19
150
150
0
0
0
0.299501
-0.299501
-0.928801
-0.93084
2.408092
3.058905
2.000849
-0.93084
0.928801
0.367723
0.866462
0.249837
0.08958
1.737064
1.634996
0.300002
7,645
train
H1
H19
150
150
0
0
0
-1.38303
1.38303
0.570815
0.569
3.304542
3.020576
3.572346
-1.38303
1.38303
0.165948
0.323761
1.190215
1.914307
0.194362
0.156291
-1.385341
7,645
train
H0
H19
200
200
0
0
0
0.872729
-0.872729
-0.871351
-0.868345
0.7818
1.225264
0.811083
0.872729
0.872729
0.382215
0.754023
0.793989
0.761456
0.378728
0.354449
0.873822
7,645
train
H1
H19
200
200
0
0
0
-1.576795
1.576795
1.091641
1.089019
2.276751
4.563764
2.812881
-1.576795
1.576795
0.114389
1.185962
1.919787
2.488287
0.085984
0.065739
-1.578769
7,645
train
H0
H19
300
300
0
0
0
0.354201
-0.354201
-0.379786
-0.379009
0.151402
0.496638
0.146192
0.354201
0.379786
0.722967
0.143648
0.166053
0.12542
0.087157
0.073636
0.354497
7,645
train
H1
H19
300
300
0
0
0
-3.728532
3.728532
3.01905
3.036981
13.36425
13.631409
14.178171
-3.728532
3.728532
0.00019
9.223252
12.503675
13.986416
1.930301
1.963508
-3.731643
7,645
train
H0
H19
500
500
0
0
0
-1.482273
1.482273
1.399149
1.397989
2.232102
2.297937
2.248468
-1.482273
1.482273
0.138071
1.954373
2.230011
2.197785
0.875063
0.863449
-1.483014
7,645
train
H1
H19
500
500
0
0
0
-2.9871
2.9871
1.904234
1.903513
9.082846
8.854788
10.859292
-2.9871
2.9871
0.002803
3.62336
6.592281
8.945433
0.052703
0.06393
-2.988595
7,645
train
H0
H19
1,000
1,000
0
0
0
-0.30194
0.30194
-0.142474
-0.142531
1.34798
2.854391
0.753895
-0.30194
0.30194
0.414624
0.020315
0.0583
0.091164
0.309903
0.280179
-0.302015
7,645
train
H1
H19
1,000
1,000
0
0
0
-5.404249
5.404249
3.805867
3.817503
28.65762
32.190564
32.440398
-5.404249
5.404249
0
14.573329
23.636444
29.330617
1.017993
0.992944
-5.405601
7,645
train
H0
H19
20
20
10
10
5
-1.17702
1.19785
1.356186
1.3607
1.954201
4.715677
1.870862
-1.17702
1.356186
0.19384
1.851503
1.528147
1.43524
1.685806
1.537014
-1.239007
7,645
train
H1
H19
20
20
10
15
10
0.275848
-0.301726
-0.089325
-0.088373
0.199268
0.159699
0.231019
0.275848
0.301726
0.756145
0.00781
0.040468
0.090462
0.080954
0.072531
0.310547
7,645
train
H0
H19
30
30
10
13.333333
10
-0.418184
0.404563
0.372425
0.364778
0.215213
0.850913
0.173725
0.364778
0.404563
0.676379
0.133063
0.176192
0.162756
0.08094
0.14346
-0.41741
7,645
train
H1
H19
30
30
10
16.666667
10
-2.075538
2.043113
1.957535
2.032863
4.917328
7.524616
4.514999
-2.075538
2.043113
0.033733
4.13253
4.901294
4.304862
1.197354
1.619885
-2.123252
7,645
train
H0
H19
50
50
10
8
12
-0.109393
0.099262
0.008207
0.008127
0.043806
0.248203
0.052404
-0.109393
0.099262
0.923095
0.000066
0.004538
0.009837
0.006351
0.01358
-0.096536
7,645
train
H1
H19
50
50
10
16
14
-1.322395
1.316635
1.095408
1.09271
1.493056
7.00669
1.845455
-1.322395
1.316635
0.071685
1.194015
1.340545
1.737354
0.287234
0.197135
-1.338412
7,645
train
H0
H19
75
75
10
5.333333
9.333333
-0.131342
0.126756
-0.077043
-0.07638
0.325426
0.645145
0.180926
-0.131342
0.126756
0.886024
0.005834
0.012638
0.016544
0.070416
0.045216
-0.128623
7,645
train
H1
H19
75
75
10
10.666667
6.666667
-1.889777
1.903355
1.27461
1.274391
4.779728
5.202994
4.400533
-1.889777
1.903355
0.055008
1.624073
3.07893
3.646453
0.021494
0.065212
-1.918817
7,645
train
H0
H19
100
100
10
11
7
0.297063
-0.320685
0.307113
0.30674
1.918878
2.67645
1.627006
0.30674
0.320685
0.443302
0.094089
0.014702
0.102786
0.843728
0.727186
0.325861
7,645
train
H1
H19
100
100
10
8
8
-0.628134
0.609564
0.601766
0.599814
0.539287
2.059523
0.403229
0.599814
0.609564
0.533638
0.359777
0.471422
0.372749
0.179058
0.239927
-0.622463
7,645
train
H0
H19
150
150
10
6
10.666667
0.418451
-0.40854
-0.632874
-0.630614
0.513506
0.528058
0.490388
0.418451
0.632874
0.678457
0.397674
0.239678
0.16673
0.446042
0.420481
0.41457
7,645
train
H1
H19
150
150
10
9.333333
12
-1.142752
1.164334
0.83906
0.837943
1.681159
2.647122
1.458631
0.837943
1.164334
0.23552
0.702148
1.200228
1.357177
0.07929
0.109495
-1.186258
7,645
train
H0
H19
200
200
10
8
10.5
1.374633
-1.408207
-0.624561
-0.622318
2.689914
4.989149
3.436356
1.374633
1.408207
0.150699
0.38728
1.230892
1.980256
0.103636
0.124322
1.437065
7,645
train
H1
H19
200
200
10
11.5
10.5
-2.698711
2.739586
1.870388
1.87331
8.538133
8.073724
8.751908
-2.698711
2.739586
0.005502
3.509292
6.06749
7.532513
0.11301
0.142015
-2.776064
7,645
train
H0
H19
300
300
10
8.666667
10.666667
-1.399425
1.386169
1.170993
1.170078
2.212398
2.383539
1.981422
-1.399425
1.386169
0.15974
1.369083
1.982332
1.92343
0.346648
0.358177
-1.405946
7,645
train
H1
H19
300
300
10
7.666667
9
-1.217489
1.264038
0.076701
0.076626
4.959383
5.180932
6.052944
0.076626
1.264038
0.048486
0.005872
0.595846
1.602312
1.477185
1.421183
-1.284713
7,645
train
H0
H19
500
500
10
11.4
10.4
0.047169
-0.047294
-0.407688
-0.408221
1.435736
6.588666
0.661685
-0.408221
0.407688
0.086231
0.166645
0.003174
0.002172
0.505011
0.45785
0.048268
7,645
train
H1
H19
500
500
10
10
12.2
-3.720256
3.742074
3.002669
3.029122
13.971668
13.390444
14.3322
-3.720256
3.742074
0.000142
9.17558
12.565106
14.061
1.781838
1.889968
-3.804849
7,645
train
H0
H19
1,000
1,000
10
10.1
10.8
0.025134
0.006278
-0.591614
-0.591276
1.508782
1.706702
1.504297
-0.591276
0.591614
0.471353
0.349608
0.042952
0.000044
1.101103
1.112054
-0.006361
7,645
train
H1
H19
1,000
1,000
10
8.9
13.1
-1.471262
1.551816
-0.177194
-0.177241
13.504765
13.146238
12.776375
-1.471262
1.551816
0.001681
0.031414
0.954731
2.410156
4.071864
3.995572
-1.574968
7,645
train
H0
H19
20
20
20
5
15
1.282117
-1.263496
-1.257715
-1.242152
1.573987
4.451353
1.675969
1.282117
1.263496
0.192682
1.542942
1.489502
1.591668
0.652149
0.531829
1.302686
7,645
train
H1
H19
20
20
20
25
15
0.603215
-0.476959
-1.143789
-1.22236
4.302034
6.037309
4.572027
-1.22236
1.143789
0.101671
1.494163
0.699518
0.2149
3.827846
3.917412
0.460345
7,645
train
H0
H19
30
30
20
13.333333
16.666667
2.1434
-2.102461
-2.172514
-2.262723
5.123962
5.884809
5.148011
-2.262723
2.172514
0.030555
5.119914
4.784429
4.479492
3.078166
3.039297
2.162824
7,645
train
H1
H19
30
30
20
13.333333
20
-1.711266
1.594695
1.899375
2.060398
4.962833
7.581619
4.755352
2.060398
1.899375
0.055498
4.245241
3.165276
2.573012
4.92264
4.766993
-1.621057
7,645
train
H0
H19
50
50
20
20
34
0.921964
-0.926712
-1.067021
-1.05702
1.146523
1.17602
1.134285
0.921964
1.067021
0.334393
1.117292
0.913533
0.850232
0.87335
0.891102
0.965302
7,645
train
H1
H19
50
50
20
20
22
0.528408
-0.519742
-0.673699
-0.66811
0.530005
1.799131
0.482429
-0.66811
0.673699
0.592356
0.446371
0.312831
0.256603
0.377344
0.285461
0.535424
7,645
train
H0
H19
75
75
20
16
17.333333
-0.995764
0.988643
0.896249
0.89163
0.989805
1.213583
0.993885
-0.995764
0.988643
0.304587
0.795005
0.987444
0.987303
0.319659
0.306343
-1.026646
7,645
train
H1
H19
75
75
20
21.333333
20
-0.363785
0.406423
0.016925
0.016833
0.540972
2.690842
0.78473
0.016833
0.406423
0.441786
0.000283
0.042075
0.168124
0.16818
0.240134
-0.417145
7,645
train
H0
H19
100
100
20
20
22
-0.555905
0.512362
0.820661
0.822046
0.916776
0.90351
0.904672
-0.555905
0.820661
0.592399
0.675759
0.428319
0.266946
0.964052
0.983471
-0.535363
7,645
train
H1
H19
100
100
20
14
18
0.135881
-0.141744
-0.119827
-0.119529
0.054223
0.14751
0.01843
-0.119529
0.141744
0.886586
0.014287
0.036184
0.018517
0.003761
0.001728
0.142626
7,645
train
H0
H19
150
150
20
21.333333
20
-1.186196
1.099457
1.516565
1.532129
2.529228
4.342874
2.635498
1.532129
1.516565
0.226741
2.347419
1.756056
1.211255
2.532252
2.683954
-1.134766
7,645
train
H1
H19
150
150
20
16
21.333333
0.544457
-0.489286
-0.898376
-0.894675
1.130661
1.075652
1.16972
-0.894675
0.898376
0.557184
0.800443
0.465887
0.236299
1.103593
1.03761
0.50198
7,645
train
H0
H19
200
200
20
22
20
1.118515
-1.132816
-1.149829
-1.151983
1.362142
7.352727
1.355391
1.118515
1.149829
0.061466
1.327064
1.076723
1.277883
0.787399
0.676009
1.169028
7,645
train
H1
H19
200
200
20
19
20
-0.793664
0.888487
-0.141768
-0.142194
6.112512
9.375229
4.939006
-0.793664
0.888487
0.024696
0.020219
0.364399
0.791931
1.741838
1.550668
-0.913423
7,645
train
H0
H19
300
300
20
18.666667
22.333333
-1.115326
1.067789
1.050851
1.052435
1.415183
1.727339
1.256592
1.052435
1.067789
0.27105
1.10762
1.365985
1.143221
0.469721
0.496296
-1.100647
7,645
train
H1
H19
300
300
20
21.333333
22
-0.300189
0.262327
0.539178
0.538221
0.463883
0.532386
0.486127
-0.300189
0.539178
0.784222
0.289682
0.139294
0.069753
0.504683
0.510511
-0.273649
7,645
train
H0
H19
500
500
20
19.4
20.6
-0.518833
0.569583
0.064933
0.064877
0.903943
2.093096
1.133087
0.064877
0.569583
0.553311
0.004209
0.139101
0.326702
0.2447
0.261246
-0.592239
7,645
train
H1
H19
500
500
20
21.2
22
-2.855659
2.888685
2.187289
2.197421
9.413726
9.822294
9.141136
-2.855659
2.888685
0.002815
4.828657
7.296592
8.375439
0.51157
0.592395
-2.987242
7,645
train
H0
H19
1,000
1,000
20
20.2
19.8
-0.01135
0.076235
-0.41336
-0.413336
0.747363
1.879488
0.965318
-0.413336
0.41336
0.597792
0.170846
0.017762
0.005983
0.655199
0.696108
-0.079765
7,645
train
H1
H19
1,000
1,000
20
19.8
20.3
-2.979515
3.116466
1.674043
1.675329
13.053861
15.540039
14.489246
-2.979515
3.116466
0.000714
2.806726
6.780988
9.730064
0.195303
0.208022
-3.215281