Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
 Community
1
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
7,644
train
H0
H28
20
20
20
10
15
0.159318
-0.069286
-0.868208
-0.886202
4.941111
10.026989
4.218637
-0.886202
0.868208
0.018338
0.785353
0.128962
0.004774
3.236799
2.852129
0.087619
7,644
train
H1
H28
20
20
20
5
15
0.866463
-0.871721
-0.485561
-0.480669
1.326802
1.38423
1.264834
0.866463
0.871721
0.374159
0.231043
0.537997
0.754563
0.031784
0.017895
0.88871
7,644
train
H0
H28
30
30
20
20
26.666667
0.803633
-0.826302
-0.935966
-0.917236
0.861044
1.015724
0.85054
-0.917236
0.935966
0.387773
0.841321
0.756887
0.679532
0.525577
0.502061
0.863663
7,644
train
H1
H28
30
30
20
33.333333
13.333333
1.229504
-1.405409
0.112701
0.113464
13.924642
14.158435
13.658201
0.113464
1.405409
0.001082
0.012874
0.695995
2.007581
2.567906
2.251702
1.406193
7,644
train
H0
H28
50
50
20
12
18
0.139404
-0.136916
-0.070101
-0.069484
0.1051
1.035344
0.03721
-0.069484
0.136916
0.792701
0.004828
0.026674
0.018687
0.007606
0.000081
0.140151
7,644
train
H1
H28
50
50
20
20
16
1.506868
-1.441217
-1.688821
-1.739057
3.155554
5.085975
3.084375
1.506868
1.688821
0.135456
3.024321
2.45085
2.096629
2.389171
2.275902
1.492928
7,644
train
H0
H28
75
75
20
9.333333
22.666667
1.99228
-1.904938
-2.376477
-2.39122
5.901975
6.561546
5.967303
-2.39122
2.376477
0.050608
5.717935
4.690154
3.634826
5.083127
5.302273
1.917273
7,644
train
H1
H28
75
75
20
18.666667
18.666667
-0.386039
0.401867
0.266494
0.265237
0.129206
1.609624
0.192296
0.265237
0.401867
0.65721
0.07035
0.10831
0.161209
0.007571
0.00034
-0.408359
7,644
train
H0
H28
100
100
20
23
22
0.358157
-0.418554
0.025591
0.025513
1.169015
1.631689
0.98533
0.358157
0.418554
0.610996
0.000651
0.083991
0.174962
0.323754
0.301594
0.424354
7,644
train
H1
H28
100
100
20
18
23
0.116463
-0.093858
-0.1626
-0.162097
0.213784
7.363665
0.032754
0.116463
0.1626
0.061167
0.026275
0.001028
0.008815
0.039186
0.00925
0.098714
7,644
train
H0
H28
150
150
20
24.666667
19.333333
-0.591951
0.535824
1.008332
1.01627
2.6518
12.669723
1.881279
1.01627
1.008332
0.005408
1.032805
0.363171
0.286892
1.853249
1.662412
-0.546187
7,644
train
H1
H28
150
150
20
18
20.666667
1.270334
-1.32825
-0.759678
-0.757776
1.700825
7.578962
2.576793
1.270334
1.32825
0.055564
0.574225
1.02784
1.766823
0.006961
0.022893
1.350688
7,644
train
H0
H28
200
200
20
20
18.5
-1.658448
1.692047
1.210102
1.20859
3.711591
4.638807
3.269624
-1.658448
1.692047
0.084906
1.460689
2.625661
2.864121
0.082315
0.138856
-1.722902
7,644
train
H1
H28
200
200
20
18.5
22
1.419285
-1.414229
-1.166757
-1.164511
2.089647
1.958724
2.124751
-1.164511
1.414229
0.150514
1.356086
1.787249
2.001422
0.288918
0.329713
1.437717
7,644
train
H0
H28
300
300
20
16
21.333333
0.39694
-0.363274
-0.572217
-0.57079
0.429581
0.446522
0.416468
-0.57079
0.572217
0.712498
0.325801
0.189397
0.131896
0.382766
0.380453
0.368503
7,644
train
H1
H28
300
300
20
24
20
-0.065431
-0.027438
0.710842
0.710341
2.25356
4.910429
2.842389
0.710341
0.710842
0.178475
0.504584
0.125385
0.000753
2.008248
2.039869
0.027418
7,644
train
H0
H28
500
500
20
22.4
20.4
0.185921
-0.197458
0.015298
0.015292
0.426799
1.970038
0.249727
0.185921
0.197458
0.578649
0.000234
0.030307
0.038978
0.081714
0.076119
0.200569
7,644
train
H1
H28
500
500
20
16.8
19.2
1.030068
-1.019243
-1.101801
-1.102541
1.344403
5.234959
1.22022
-1.102541
1.101801
0.155379
1.215596
0.806383
1.039188
0.848258
0.79977
1.035984
7,644
train
H0
H28
1,000
1,000
20
19.2
18.9
1.47336
-1.564177
-0.659097
-0.658895
4.8902
4.872739
4.877599
1.47336
1.564177
0.087266
0.434143
1.623031
2.447775
0.268392
0.252164
1.587431
7,644
train
H1
H28
1,000
1,000
20
21.3
18.2
0.817643
-0.96494
0.065135
0.065138
2.397478
9.379031
4.482218
0.065138
0.96494
0.024654
0.004243
0.13361
0.93178
1.294553
1.326305
0.982024
7,644
train
H0
H28
20
20
30
25
35
0.59688
-0.708758
-0.2898
-0.29062
0.87749
1.611628
1.021436
-0.29062
0.708758
0.453578
0.08446
0.252653
0.503074
0.142891
0.158956
0.749463
7,644
train
H1
H28
20
20
30
35
30
0.106325
-0.137413
0.044237
0.043591
0.189782
0.168264
0.200483
0.043591
0.137413
0.894129
0.0019
0.002736
0.018746
0.169461
0.15761
0.133082
7,644
train
H0
H28
30
30
30
46.666667
33.333333
-0.535119
0.52119
0.679939
0.686138
0.676399
5.41582
0.771241
0.686138
0.679939
0.143761
0.470786
0.475529
0.271438
0.843664
1.158164
-0.535686
7,644
train
H1
H28
30
30
30
23.333333
36.666667
1.840455
-2.079928
-0.922297
-0.92421
10.62267
10.69036
10.43108
1.840455
2.079928
0.005432
0.854164
2.786114
4.368193
0.338059
0.217977
2.117966
7,644
train
H0
H28
50
50
30
26
32
0.642665
-0.531877
-0.968572
-0.966494
1.5861
1.937123
1.48433
-0.966494
0.968572
0.476082
0.934111
0.468963
0.282008
1.318422
1.250698
0.552998
7,644
train
H1
H28
50
50
30
34
22
-0.502969
0.320569
1.197892
1.202253
3.762593
4.38789
4.108639
1.202253
1.197892
0.12818
1.445412
0.516787
0.102732
3.812342
3.822988
-0.33506
7,644
train
H0
H28
75
75
30
34.666667
37.333333
0.661877
-0.523222
-0.911763
-0.911974
1.214984
1.277216
1.235857
-0.911974
0.911763
0.53906
0.831697
0.464289
0.273381
1.085218
1.063794
0.538727
7,644
train
H1
H28
75
75
30
28
32
-0.376738
0.304797
0.565457
0.563054
0.457274
0.773443
0.484111
-0.376738
0.565457
0.752881
0.31703
0.168818
0.09297
0.565172
0.650927
-0.314843
7,644
train
H0
H28
100
100
30
35
25
-0.629887
0.5655
0.854437
0.848779
0.927004
1.049998
0.909015
0.848779
0.854437
0.558849
0.720427
0.489714
0.319298
0.998639
0.928145
-0.584552
7,644
train
H1
H28
100
100
30
31
38
0.396665
-0.397763
-0.288994
-0.287517
0.256787
0.464999
0.211983
0.396665
0.397763
0.679195
0.082666
0.15942
0.156776
0.000312
0.000397
0.413562
7,644
train
H0
H28
150
150
30
25.333333
33.333333
-0.206692
0.396372
-0.433353
-0.431589
2.256877
6.746317
2.933068
-0.431589
0.433353
0.080438
0.186269
0.00009
0.157033
1.527539
1.712858
-0.405305
7,644
train
H1
H28
150
150
30
34
32
0.33488
-0.485653
0.237262
0.236697
2.374878
6.460902
2.942436
0.33488
0.485653
0.091217
0.056026
0.014998
0.235819
1.26681
1.333293
0.493322
7,644
train
H0
H28
200
200
30
22.5
32
1.620357
-1.483898
-1.953443
-1.957205
4.052624
4.460176
4.114544
-1.957205
1.953443
0.127802
3.83065
2.970915
2.201076
3.695925
3.765578
1.522044
7,644
train
H1
H28
200
200
30
32.5
26.5
-0.633141
0.428292
1.406384
1.410544
5.343937
5.33597
5.424518
1.410544
1.406384
0.066387
1.989636
0.695709
0.183381
4.879632
4.724915
-0.443384
7,644
train
H0
H28
300
300
30
34.333333
34.666667
0.380664
-0.403338
-0.162748
-0.162613
0.690586
1.964544
0.451476
-0.162613
0.403338
0.579798
0.026443
0.16071
0.162613
0.05739
0.036938
0.415004
7,644
train
H1
H28
300
300
30
27.666667
26.666667
1.346854
-1.605475
-0.067378
-0.067271
10.30533
10.421865
10.973899
-0.067271
1.605475
0.00414
0.004525
1.063857
2.579159
2.697908
2.57635
1.647198
7,644
train
H0
H28
500
500
30
29.8
28.2
-0.150398
0.217793
-0.002554
-0.002551
0.091994
0.925109
0.17463
-0.002551
0.217793
0.819365
0.000007
0.008988
0.047417
0.044132
0.044915
-0.222509
7,644
train
H1
H28
500
500
30
28
29.8
1.681031
-1.855166
-0.942823
-0.942526
4.460563
7.496085
5.586065
1.681031
1.855166
0.056942
0.888355
2.060189
3.44495
0.108618
0.117893
1.903757
7,644
train
H0
H28
1,000
1,000
30
30.2
32.6
0.112997
-0.067044
-0.193831
-0.193856
0.044645
1.853768
0.075647
-0.193856
0.193831
0.603305
0.03758
0.026572
0.004494
0.062559
0.070816
0.068792
7,644
train
H1
H28
1,000
1,000
30
31.3
29.8
1.252652
-1.492833
-0.27504
-0.274951
5.376337
11.662429
7.675268
-0.274951
1.492833
0.008634
0.075598
0.692005
2.230744
1.431658
1.444015
1.529402
7,644
train
H0
H28
20
20
40
40
40
0.768675
-0.988039
-0.417264
-0.412948
1.299163
3.619667
1.536236
0.768675
0.988039
0.299006
0.170526
0.537521
0.981194
0.168655
0.202117
1.038567
7,644
train
H1
H28
20
20
40
45
55
-0.066678
-0.176367
0.329878
0.338729
1.249543
4.011198
1.377675
0.338729
0.329878
0.260257
0.114737
0.007595
0.031309
1.128256
1.181764
0.23688
7,644
train
H0
H28
30
30
40
36.666667
36.666667
-0.372543
0.580268
-0.135296
-0.134375
2.721479
2.922102
2.591845
-0.134375
0.580268
0.273645
0.018057
0.130232
0.33518
1.093794
0.935839
-0.567148
7,644
train
H1
H28
30
30
40
36.666667
43.333333
0.008755
-0.044525
0.037659
0.037427
0.014916
0.16865
0.021118
0.008755
0.044525
0.961079
0.001401
0.000012
0.001972
0.059244
0.067776
0.0488
7,644
train
H0
H28
50
50
40
38
30
-1.230878
1.216822
1.233735
1.232062
1.553274
1.582316
1.550207
1.232062
1.233735
0.214642
1.517978
1.562947
1.482056
1.080786
1.103055
-1.240903
7,644
train
H1
H28
50
50
40
52
26
-0.988838
0.869224
1.196386
1.190602
1.642992
2.13226
1.588167
1.190602
1.196386
0.353016
1.417533
0.979849
0.753905
1.691168
1.570412
-0.928755
7,644
train
H0
H28
75
75
40
45.333333
30.666667
-2.718961
2.677367
2.522379
2.547993
7.492105
7.467347
7.501227
-2.718961
2.677367
0.006318
6.492267
7.152136
7.214325
2.476138
2.542555
-2.730801
7,644
train
H1
H28
75
75
40
44
36
-0.320118
0.297892
0.238458
0.237422
0.177666
0.557298
0.142664
-0.320118
0.297892
0.759723
0.056369
0.103774
0.088548
0.011034
0.016058
-0.305845
7,644
train
H0
H28
100
100
40
38
40
0.644835
-0.558852
-0.954089
-0.955496
1.724275
1.833757
1.683384
-0.955496
0.954089
0.430981
0.912973
0.518346
0.312752
1.468034
1.418917
0.58037
7,644
train
H1
H28
100
100
40
37
46
1.862472
-2.255518
-0.946591
-0.944988
9.711694
12.192538
10.710998
1.862472
2.255518
0.004722
0.893002
2.918508
5.112536
0.619734
0.558835
2.325866
7,644
train
H0
H28
150
150
40
44.666667
38
-0.835854
0.723998
1.023937
1.024351
1.355564
2.759048
1.257841
1.024351
1.023937
0.430286
1.049295
0.641388
0.523837
1.378544
1.270955
-0.752789
7,644
train
H1
H28
150
150
40
36
40
1.137476
-1.315772
-0.675566
-0.675828
2.211639
9.51236
2.929873
1.137476
1.315772
0.0232
0.456743
0.917346
1.734404
0.06739
0.091568
1.360137
7,644
train
H0
H28
200
200
40
43.5
33.5
-0.57676
0.501536
0.844577
0.843682
1.328048
2.631268
1.147402
0.843682
0.844577
0.452034
0.711799
0.324824
0.251342
1.184233
1.102184
-0.520644
7,644
train
H1
H28
200
200
40
37
38
-0.575575
0.428442
0.86333
0.867927
1.232317
1.926696
1.339689
0.867927
0.86333
0.511788
0.753297
0.420572
0.18352
1.431623
1.459604
-0.440098
7,644
train
H0
H28
300
300
40
43.666667
36.666667
-1.435373
1.569164
1.024584
1.024038
3.158722
3.309264
3.189817
-1.435373
1.569164
0.102551
1.048653
1.959187
2.461532
0.002949
0.004864
-1.632611
7,644
train
H1
H28
300
300
40
39.666667
39.666667
0.417737
-0.639282
0.088951
0.088796
1.598594
8.278867
2.513332
0.088796
0.639282
0.040587
0.007885
0.035763
0.408896
0.852244
0.935051
0.661321
7,644
train
H0
H28
500
500
40
39.2
39.4
0.366666
-0.396132
-0.280855
-0.28069
0.168364
0.378577
0.183007
-0.28069
0.396132
0.683045
0.078787
0.122981
0.15688
0.001651
0.000522
0.408312
7,644
train
H1
H28
500
500
40
39.6
40.2
-0.104818
-0.17416
0.69603
0.696933
2.623798
8.10146
3.55089
-0.104818
0.69603
0.043961
0.485715
0.100528
0.03036
2.37073
2.444318
0.181308
7,644
train
H0
H28
1,000
1,000
40
37.4
40.2
1.48533
-1.52759
-1.286456
-1.285581
2.423708
2.541978
2.357679
1.48533
1.52759
0.115385
1.65272
2.255973
2.333385
0.386636
0.411256
1.574445
7,644
train
H1
H28
1,000
1,000
40
40.4
37.6
0.171205
-0.398347
0.329822
0.329632
1.564041
9.703565
2.3334
0.329632
0.398347
0.021262
0.108657
0.000834
0.158715
1.180953
1.242537
0.411879
7,644
train
H0
H28
20
20
50
50
45
0.007266
-0.064932
0.075588
0.074611
0.097974
1.302559
0.121789
0.074611
0.075588
0.728526
0.005567
0.000892
0.004192
0.211563
0.264271
0.052794
7,644
train
H1
H28
20
20
50
45
55
0.581688
-0.667856
-0.414289
-0.410809
0.875018
3.332945
0.796803
-0.410809
0.667856
0.343084
0.168764
0.364632
0.442809
0.035849
0.0177
0.714559
7,644
train
H0
H28
30
30
50
50
56.666667
0.328158
-0.274988
-0.399311
-0.397061
0.228937
1.338148
0.244625
0.328158
0.399311
0.720095
0.157658
0.123706
0.075263
0.107816
0.116014
0.291284
7,644
train
H1
H28
30
30
50
46.666667
46.666667
-0.338583
0.295801
0.526062
0.533217
0.817103
6.608747
0.935086
-0.338583
0.526062
0.085471
0.28432
0.215035
0.087649
0.990437
1.094469
-0.328501
7,644
train
H0
H28
50
50
50
60
46
-1.848564
2.023975
1.54846
1.553354
4.84107
5.429346
4.770658
1.553354
2.023975
0.032935
2.412908
3.531053
4.110781
0.137929
0.163359
-2.132879
7,644
train
H1
H28
50
50
50
60
62
-0.054075
-0.085861
0.145855
0.146012
0.318294
0.583896
0.302
0.146012
0.145855
0.859848
0.021319
0.000637
0.007387
0.257433
0.223862
0.092807
7,644
train
H0
H28
75
75
50
52
49.333333
0.067937
-0.145224
0.067302
0.067227
0.289597
0.369784
0.298608
0.067227
0.145224
0.861307
0.00452
0.002708
0.021051
0.195567
0.230554
0.147079
7,644
train
H1
H28
75
75
50
46.666667
62.666667
2.522785
-2.351311
-2.564184
-2.603401
6.782449
7.904656
6.778424
-2.603401
2.564184
0.014257
6.777699
6.024752
5.549881
4.470916
4.462221
2.450728
7,644
train
H0
H28
100
100
50
47
49
0.703857
-0.743181
-0.582486
-0.57971
0.643181
0.721606
0.628054
-0.57971
0.743181
0.435901
0.336063
0.490627
0.551719
0.016057
0.032406
0.779133
7,644
train
H1
H28
100
100
50
45
52
1.644865
-1.92401
-1.042286
-1.037545
6.813705
7.371144
7.058519
-1.037545
1.92401
0.029327
1.076501
2.487237
3.709053
0.161621
0.111054
2.016449
7,644
train
H0
H28
150
150
50
48
45.333333
-0.877266
0.640579
1.140146
1.144124
1.979901
2.230326
2.016312
-0.877266
1.140146
0.364891
1.30902
0.729408
0.410168
2.193998
2.252896
-0.669357
7,644
train
H1
H28
150
150
50
51.333333
46.666667
1.13585
-1.518914
-0.513309
-0.515199
5.448329
5.838262
5.666604
1.13585
1.518914
0.058818
0.26543
1.231434
2.32289
0.700152
0.668628
1.606782
7,644
train
H0
H28
200
200
50
55
47.5
-1.414537
1.466151
1.27409
1.273606
2.151291
2.144736
2.165622
1.273606
1.466151
0.126864
1.622073
2.021925
2.148511
0.426965
0.478659
-1.526585
7,644
train
H1
H28
200
200
50
44.5
48
0.906202
-1.211785
-0.341067
-0.34161
3.906431
6.246979
4.35446
0.906202
1.211785
0.100193
0.116697
0.682784
1.468347
0.696721
0.723326
1.263039
7,644
train
H0
H28
300
300
50
53.666667
52.333333
-1.288819
0.970395
1.605739
1.618602
3.98041
5.068668
4.094474
-1.288819
1.605739
0.129091
2.619874
1.656386
0.943001
4.32558
4.358149
-1.009268
7,644
train
H1
H28
300
300
50
49.666667
49
0.282189
-0.636537
0.199731
0.199674
2.721172
9.514174
3.268991
0.199674
0.636537
0.023181
0.03987
0.041804
0.405136
1.352506
1.413237
0.663487
7,644
train
H0
H28
500
500
50
46.4
48.4
-0.3871
0.564333
0.090025
0.090031
1.346916
1.50007
1.293968
0.090031
0.564333
0.523623
0.008106
0.171686
0.318498
0.276758
0.275496
-0.585119
7,644
train
H1
H28
500
500
50
47.8
49.8
0.894158
-1.033467
-0.605444
-0.605256
1.513899
2.639736
1.699447
-0.605256
1.033467
0.27812
0.366335
0.64944
1.068258
0.020691
0.016093
1.084553
7,644
train
H0
H28
1,000
1,000
50
48.8
50.2
0.426081
-0.594015
-0.219307
-0.21924
0.522407
3.593091
0.699986
-0.21924
0.594015
0.308888
0.048066
0.141172
0.352822
0.079287
0.084933
0.619469
7,644
train
H1
H28
1,000
1,000
50
49.3
50.7
1.664149
-2.043495
-1.098643
-1.098527
5.400626
12.97155
6.213344
-1.098527
2.043495
0.004699
1.206761
2.476097
4.177407
0.099457
0.102944
2.145842
7,644
train
H0
H29
20
20
0
0
0
-0.378701
0.378701
-0.126905
-0.12585
1.636291
3.208942
1.211619
-0.378701
0.378701
0.360519
0.015838
0.055065
0.142313
0.42772
0.284908
-0.383526
7,644
train
H1
H29
20
20
0
0
0
0.432801
-0.432801
-0.142795
-0.139107
0.474108
0.559756
0.450699
0.432801
0.432801
0.661158
0.019351
0.10443
0.185743
0.100748
0.06407
0.438315
7,644
train
H0
H29
30
30
0
0
0
-0.280904
0.280904
0.284383
0.282109
0.105312
3.506309
0.083906
-0.280904
0.284383
0.319945
0.079586
0.053685
0.078559
0.054324
0.017337
-0.283275
7,644
train
H1
H29
30
30
0
0
0
-0.443533
0.443533
1.04773
1.050361
2.202077
2.074456
2.275533
1.050361
1.04773
0.320534
1.103259
0.520733
0.196485
2.314843
2.269339
-0.447276
7,644
train
H0
H29
50
50
0
0
0
-1.682092
1.682092
1.293539
1.29132
3.067137
3.142482
2.995093
-1.682092
1.682092
0.09092
1.667506
2.514259
2.843205
0.231653
0.346867
-1.690566
7,644
train
H1
H29
50
50
0
0
0
0.585975
-0.585975
-0.176064
-0.173623
0.72545
0.578366
0.822574
0.585975
0.585975
0.55591
0.030145
0.16994
0.342892
0.105442
0.078383
0.588927
7,644
train
H0
H29
75
75
0
0
0
-0.618311
0.618311
-0.163501
-0.163326
2.298537
1.968881
2.542636
-0.163326
0.618311
0.280462
0.026676
0.084015
0.382553
0.900363
0.800008
-0.616232
7,644
train
H1
H29
75
75
0
0
0
0.328889
-0.328889
0.114709
0.113942
0.343671
0.361605
0.778504
0.113942
0.328889
0.677564
0.012983
0.002867
0.108315
0.280867
0.27343
0.327783
7,644
train
H0
H29
100
100
0
0
0
1.15328
-1.15328
-1.763641
-1.785907
3.969389
3.953681
3.981789
-1.785907
1.763641
0.136573
3.189463
2.046652
1.331429
3.945422
3.893149
1.156174
7,644
train
H1
H29
100
100
0
0
0
1.065318
-1.065318
-0.714652
-0.711144
0.814032
3.888768
1.334919
1.065318
1.065318
0.273728
0.505726
0.722813
1.136002
0.023217
0.008526
1.067991
7,644
train
H0
H29
150
150
0
0
0
0.131781
-0.131781
-0.756845
-0.756201
1.157123
4.147618
1.728514
-0.756201
0.756845
0.245959
0.571839
0.197973
0.017353
1.407414
1.568853
0.132001
7,644
train
H1
H29
150
150
0
0
0
-0.26223
0.26223
-0.232396
-0.233772
2.297097
6.294808
0.998074
-0.26223
0.26223
0.098116
0.054649
0.063188
0.068815
0.547998
0.456181
-0.262668
7,644
train
H0
H29
200
200
0
0
0
-1.037069
1.037069
1.513609
1.520607
2.990015
4.731331
2.680231
-1.037069
1.513609
0.192561
2.312246
1.438119
1.07514
2.741201
2.627197
-1.038368
7,644
train
H1
H29
200
200
0
0
0
2.238477
-2.238477
-0.770854
-0.773912
5.379246
25.953114
10.876121
2.238477
2.238477
0.00001
0.598939
2.126209
5.044206
0.62507
0.750725
2.241281
7,644
train
H0
H29
300
300
0
0
0
0.32594
-0.32594
0.120761
0.12087
1.461212
4.812089
0.785417
0.32594
0.32594
0.186085
0.01461
0.061978
0.106171
0.308793
0.257805
0.326212
7,644
train
H1
H29
300
300
0
0
0
3.013065
-3.013065
-2.268363
-2.285878
6.611299
25.625459
9.66001
3.013065
3.013065
0.000011
5.225239
6.492651
9.122439
0.986547
0.901615
3.015579
7,644
train
H0
H29
500
500
0
0
0
1.96578
-1.96578
-2.314109
-2.320453
5.386077
5.385239
5.394941
-2.320453
2.314109
0.049211
5.384503
4.765168
3.867697
4.245114
4.254432
1.966763
7,644
train
H1
H29
500
500
0
0
0
2.97856
-2.97856
-1.542623
-1.547426
6.759706
28.548773
13.425624
2.97856
2.97856
0.000003
2.394528
4.671989
8.908408
0.044274
0.065009
2.98005
7,644
train
H0
H29
1,000
1,000
0
0
0
-1.006104
1.006104
0.376582
0.376342
1.779805
1.500659
2.002859
-1.006104
1.006104
0.314244
0.141633
0.583639
1.012218
0.125317
0.109645
-1.006356
7,644
train
H1
H29
1,000
1,000
0
0
0
3.455154
-3.455154
-1.232328
-1.234504
11.904029
38.085158
24.656352
3.455154
3.455154
0
1.524
5.085793
11.980487
1.424566
1.512725
3.456018