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
4
train
H0
H04
20
20
40
40
50
0.704059
-0.776414
-0.65392
-0.64515
0.518973
0.64484
0.510556
-0.64515
0.776414
0.427911
0.416219
0.595334
0.599664
0.060889
0.143391
0.792771
4
train
H1
H04
20
20
40
45
30
-0.382216
0.318223
0.717889
0.711416
1.638322
1.71416
1.647508
-0.382216
0.717889
0.438781
0.506113
0.253681
0.100547
1.598154
1.627633
-0.364526
4
train
H0
H04
30
30
40
30
33.333333
-0.811408
0.86687
0.418439
0.413227
1.713229
2.713132
1.45312
-0.811408
0.86687
0.378312
0.170756
0.599474
0.749223
0.09229
0.022159
-0.881012
4
train
H1
H04
30
30
40
36.666667
50
0.329522
-0.257683
-0.408474
-0.407038
0.213158
0.234943
0.216999
-0.407038
0.408474
0.789389
0.16568
0.107125
0.066038
0.099724
0.098364
0.267105
4
train
H0
H04
50
50
40
38
42
0.507895
-0.528755
-0.372412
-0.371331
0.503804
2.964462
0.403169
-0.371331
0.528755
0.397137
0.137886
0.278452
0.279083
0.001616
0.000164
0.556772
4
train
H1
H04
50
50
40
38
48
-1.211802
1.388246
0.834255
0.846226
2.584178
3.709459
2.75189
0.846226
1.388246
0.141141
0.716099
1.409864
1.942186
0.010921
0.023149
-1.471557
4
train
H0
H04
75
75
40
30.666667
36
1.258652
-1.300739
-1.045577
-1.042265
1.69279
1.738941
1.748036
1.258652
1.300739
0.184415
1.086317
1.458386
1.690867
0.152491
0.177477
1.327283
4
train
H1
H04
75
75
40
37.333333
38.666667
-0.021552
-0.002207
0.151499
0.150774
0.208831
0.750612
0.158976
0.150774
0.151499
0.86124
0.022733
0.000418
0.000005
0.180099
0.152612
-0.000232
4
train
H0
H04
100
100
40
30
50
0.921159
-0.639233
-1.451097
-1.446587
4.084881
4.300555
4.161515
-1.446587
1.451097
0.124836
2.092615
0.939125
0.408785
3.752437
3.761771
0.674632
4
train
H1
H04
100
100
40
30
41
0.238903
-0.190996
-0.456144
-0.456121
0.59643
1.138136
0.64759
-0.456121
0.456144
0.723398
0.208047
0.110716
0.036458
0.451272
0.475927
0.199058
4
train
H0
H04
150
150
40
34.666667
38.666667
0.5582
-0.564896
-0.448436
-0.446922
0.383996
0.421778
0.375031
0.5582
0.564896
0.558925
0.199739
0.284775
0.318715
0.008959
0.014841
0.584439
4
train
H1
H04
150
150
40
44
40
-2.005902
2.134036
1.683097
1.688056
4.240431
5.024446
4.515976
1.688056
2.134036
0.027197
2.849534
3.772576
4.567763
0.426956
0.436691
-2.208673
4
train
H0
H04
200
200
40
36
43
0.366544
-0.337033
-0.44409
-0.443359
0.245124
0.656244
0.227801
-0.443359
0.44409
0.728382
0.196567
0.128608
0.113508
0.177359
0.14846
0.347278
4
train
H1
H04
200
200
40
32.5
38.5
-0.787457
0.984027
0.168047
0.167954
3.388911
3.777258
3.531882
-0.787457
0.984027
0.171026
0.028209
0.50093
0.969411
0.805081
0.791332
-1.007401
4
train
H0
H04
300
300
40
42
42
0.587068
-0.826777
-0.007701
-0.007689
4.007346
3.9532
3.95755
-0.007689
0.826777
0.138238
0.000059
0.293009
0.683557
1.155369
1.174582
0.850116
4
train
H1
H04
300
300
40
38.333333
38.666667
-1.742621
1.8987
1.284955
1.286889
4.048189
5.654003
4.402237
-1.742621
1.8987
0.050571
1.656083
2.817235
3.613485
0.021379
0.00949
-1.955099
4
train
H0
H04
500
500
40
39.8
43
-0.780333
0.886606
0.450866
0.451068
1.335254
3.089217
1.585664
-0.780333
0.886606
0.36036
0.203463
0.447897
0.786791
0.056835
0.055863
-0.914679
4
train
H1
H04
500
500
40
38
40.8
-1.042056
1.112307
0.777687
0.779643
1.535343
1.57714
1.515423
-1.042056
1.112307
0.250386
0.607843
1.062835
1.237767
0.019424
0.020643
-1.149411
4
train
H0
H04
1,000
1,000
40
40.6
41.7
0.898651
-0.753648
-1.071065
-1.071114
1.281182
1.752021
1.306406
-1.071114
1.071065
0.436684
1.147286
0.801351
0.567976
1.212508
1.234609
0.777806
4
train
H1
H04
1,000
1,000
40
40.8
39.5
-1.984125
2.057713
1.579383
1.580599
4.939775
4.841066
4.919938
-1.984125
2.057713
0.034025
2.498293
3.72865
4.236327
0.211638
0.215619
-2.11978
4
train
H0
H04
20
20
50
50
55
0.72938
-0.617228
-0.98729
-0.986094
2.047434
3.663218
1.954417
-0.986094
0.98729
0.300202
0.972381
0.574112
0.379639
1.418194
1.270297
0.692865
4
train
H1
H04
20
20
50
45
40
-1.283301
1.362579
1.149072
1.162296
1.927057
3.128393
1.88295
1.162296
1.362579
0.165391
1.350933
1.708918
1.877361
0.498142
0.564102
-1.387167
4
train
H0
H04
30
30
50
36.666667
40
0.690627
-0.653999
-0.726895
-0.725842
0.530388
1.147299
0.527088
-0.725842
0.726895
0.494565
0.526846
0.44821
0.426946
0.213077
0.1715
0.683067
4
train
H1
H04
30
30
50
50
53.333333
-0.272881
0.166955
0.340815
0.34979
0.244294
0.264498
0.246865
0.34979
0.340815
0.866047
0.122353
0.061842
0.030987
0.443539
0.433704
-0.168682
4
train
H0
H04
50
50
50
56
58
-0.421129
0.700748
0.101041
0.101058
2.345539
2.355911
2.337829
0.101058
0.700748
0.310704
0.010213
0.224126
0.492005
0.533213
0.51426
-0.732505
4
train
H1
H04
50
50
50
54
48
-1.675536
2.116049
0.94648
0.938735
10.249712
10.39099
10.097751
0.938735
2.116049
0.006417
0.881223
3.112685
4.490452
1.742311
1.352404
-2.192245
4
train
H0
H04
75
75
50
40
48
1.62805
-1.65272
-1.541003
-1.54487
2.653554
2.754217
2.669443
1.62805
1.65272
0.0888
2.386623
2.681789
2.740623
0.903858
0.920087
1.701763
4
train
H1
H04
75
75
50
49.333333
49.333333
-1.217378
1.440739
0.84006
0.841216
3.292541
3.415619
3.254211
-1.217378
1.440739
0.134433
0.707645
1.569929
2.08169
0.052552
0.051975
-1.496846
4
train
H0
H04
100
100
50
43
47
0.823795
-0.894856
-0.597262
-0.597947
1.323097
1.642256
1.264911
-0.597947
0.894856
0.35609
0.357541
0.657146
0.800206
0.001731
0.000875
0.922841
4
train
H1
H04
100
100
50
50
53
-1.019355
1.024341
1.03532
1.046733
1.095656
1.916042
1.098194
1.046733
1.03532
0.278179
1.095649
1.046968
1.054481
0.845284
0.815337
-1.08442
4
train
H0
H04
150
150
50
50
50
-0.629254
0.525505
0.617491
0.618188
0.390569
0.504691
0.397691
-0.629254
0.617491
0.585704
0.382156
0.274617
0.276102
0.232771
0.246991
-0.545072
4
train
H1
H04
150
150
50
48.666667
59.333333
0.843198
-0.585346
-1.000547
-1.001654
1.218987
4.974886
1.318745
-1.001654
1.000547
0.173645
1.003311
0.72531
0.342336
1.24357
1.374348
0.606481
4
train
H0
H04
200
200
50
47.5
47.5
0.085134
-0.341917
0.245158
0.244614
1.718441
2.490596
1.572889
0.244614
0.341917
0.455461
0.059836
0.033356
0.116836
0.806224
0.785199
0.348923
4
train
H1
H04
200
200
50
47.5
48.5
-0.455028
0.410668
0.545405
0.545783
0.385856
0.391271
0.386938
0.545783
0.545405
0.671034
0.297879
0.227987
0.168768
0.459041
0.493079
-0.424729
4
train
H0
H04
300
300
50
56.666667
47.666667
-1.439386
1.309986
1.545409
1.541898
2.406489
2.456519
2.406544
1.541898
1.545409
0.169299
2.37745
1.960021
1.71547
1.94567
2.060802
-1.374461
4
train
H1
H04
300
300
50
52.666667
52
-0.915304
1.081375
0.605915
0.605195
2.234994
2.681911
2.130049
0.605195
1.081375
0.260447
0.366261
0.92657
1.169243
0.05262
0.033848
-1.125334
4
train
H0
H04
500
500
50
47.6
48.4
0.000256
-0.097267
0.188949
0.188786
0.49409
0.457717
0.50448
0.188786
0.188949
0.777058
0.03564
0.000232
0.009461
0.336391
0.306959
0.10002
4
train
H1
H04
500
500
50
49.8
50.4
-0.98619
1.027421
0.857834
0.858634
0.975407
4.125718
1.100521
-0.98619
1.027421
0.248205
0.737252
0.789302
1.055885
0.152406
0.154553
-1.069385
4
train
H0
H04
1,000
1,000
50
51.6
49.3
-2.233338
2.616545
1.566554
1.567335
11.041409
11.218726
10.916371
1.567335
2.616545
0.004261
2.45654
5.194277
6.850377
0.139485
0.130035
-2.714476
4
train
H1
H04
1,000
1,000
50
51
48.3
-3.621979
3.717947
3.278194
3.294845
13.942019
13.998978
13.913269
-3.621979
3.717947
0.000112
10.856006
13.324043
13.850872
2.961681
2.91339
-3.863841
4
train
H0
H05
20
20
0
0
0
-0.243451
0.243451
-0.196219
-0.193663
1.179136
2.481402
0.88358
-0.243451
0.243451
0.478662
0.037505
0.012632
0.058696
0.299808
0.191453
-0.246552
4
train
H1
H05
20
20
0
0
0
0.270501
-0.270501
-0.15877
-0.155652
0.144913
0.773291
0.104349
0.270501
0.270501
0.784125
0.024227
0.057825
0.072622
0.008929
0.000172
0.273947
4
train
H0
H05
30
30
0
0
0
0.369611
-0.369611
0.173786
0.17105
0.971728
1.103886
1.217266
0.369611
0.369611
0.544094
0.029258
0.016434
0.136084
0.554652
0.537113
0.37273
4
train
H1
H05
30
30
0
0
0
-0.576593
0.576593
0.838631
0.831763
0.893319
1.466667
0.813797
-0.576593
0.838631
0.560932
0.69183
0.44398
0.330473
0.995253
0.907972
-0.581458
4
train
H0
H05
50
50
0
0
0
-0.296434
0.296434
-0.318302
-0.315423
1.184121
1.412582
1.498556
-0.315423
0.318302
0.472708
0.099492
0.000678
0.087705
0.697752
0.683619
-0.297928
4
train
H1
H05
50
50
0
0
0
1.103011
-1.103011
-0.94271
-0.93696
1.015699
3.400741
1.222088
1.103011
1.103011
0.267617
0.877895
1.032038
1.21796
0.231352
0.180097
1.108568
4
train
H0
H05
75
75
0
0
0
-0.073295
0.073295
0.026728
0.026752
0.245897
6.619336
0.011598
0.026752
0.073295
0.085073
0.000716
0.026242
0.00536
0.000009
0.011401
-0.073049
4
train
H1
H05
75
75
0
0
0
2.110526
-2.110526
-2.416379
-2.480704
6.29222
7.72634
6.19558
2.110526
2.416379
0.035428
6.153894
5.196303
4.483903
4.82418
4.7164
2.103431
4
train
H0
H05
100
100
0
0
0
-0.57664
0.57664
-0.028923
-0.028738
0.904114
3.124705
1.499239
-0.57664
0.57664
0.372795
0.000826
0.083805
0.332204
0.376843
0.450552
-0.578087
4
train
H1
H05
100
100
0
0
0
1.893626
-1.893626
-2.01981
-2.041531
4.168589
5.874034
4.212526
1.893626
2.01981
0.057646
4.167848
3.8491
3.598728
2.675894
2.57993
1.898378
4
train
H0
H05
150
150
0
0
0
-0.424626
0.424626
0.168089
0.168093
0.640119
1.067
0.351867
-0.424626
0.424626
0.670592
0.028255
0.183865
0.180245
0.019311
0.024917
-0.425336
4
train
H1
H05
150
150
0
0
0
1.336441
-1.336441
-0.829433
-0.826295
2.219751
2.218173
2.247044
1.336441
1.336441
0.180677
0.682764
1.425484
1.78835
0.010593
0.020612
1.338674
4
train
H0
H05
200
200
0
0
0
-1.482516
1.482516
1.981632
1.996612
4.41014
5.309004
4.288184
1.996612
1.981632
0.117174
3.986461
2.914526
2.199779
4.128496
4.023098
-1.484372
4
train
H1
H05
200
200
0
0
0
2.04819
-2.04819
-0.860028
-0.859118
7.165129
7.399794
7.692762
2.04819
2.04819
0.021357
0.738083
2.69387
4.205386
0.268062
0.239296
2.050755
4
train
H0
H05
300
300
0
0
0
-2.100714
2.100714
0.768543
0.767954
7.135813
9.915371
8.977785
-2.100714
2.100714
0.011233
0.589754
2.490919
4.422357
0.716848
0.765508
-2.102467
4
train
H1
H05
300
300
0
0
0
2.636255
-2.636255
-1.716095
-1.718648
8.787723
8.70546
8.319438
2.636255
2.636255
0.008328
2.953752
5.749953
6.968095
0.149633
0.192127
2.638455
4
train
H0
H05
500
500
0
0
0
1.003145
-1.003145
-0.895969
-0.895104
1.201988
1.789189
1.008862
-0.895104
1.003145
0.315549
0.801211
1.103521
1.006372
0.29391
0.333429
1.003647
4
train
H1
H05
500
500
0
0
0
3.735572
-3.735572
-2.964828
-2.975031
14.143884
14.177318
14.31458
3.735572
3.735572
0.000186
8.850807
12.81321
14.012969
2.240928
2.345502
3.737442
4
train
H0
H05
1,000
1,000
0
0
0
-0.75241
0.75241
1.000596
1.00185
1.310459
6.5709
1.060156
-0.75241
1.000596
0.086908
1.003703
0.65447
0.566086
0.996257
0.942996
-0.752598
4
train
H1
H05
1,000
1,000
0
0
0
4.094347
-4.094347
-2.268706
-2.272421
22.678553
21.811032
23.44484
4.094347
4.094347
0.000008
5.163898
12.378554
16.804108
0.003178
0.001189
4.095371
4
train
H0
H05
20
20
10
20
5
-1.964082
1.901658
2.271591
2.378332
6.206264
6.349267
6.147968
-1.964082
2.271591
0.046237
5.656464
4.53485
3.65598
6.207864
6.263411
-1.962627
4
train
H1
H05
20
20
10
5
15
2.263872
-2.297991
-2.148239
-2.228443
5.264806
5.863808
5.313773
-2.228443
2.297991
0.018128
4.965959
5.373333
5.365307
2.516327
2.541757
2.362995
4
train
H0
H05
30
30
10
10
6.666667
-0.33294
0.314317
0.676333
0.67097
0.912449
1.114839
0.875926
-0.33294
0.676333
0.64535
0.450201
0.211628
0.098246
1.018573
0.909826
-0.316282
4
train
H1
H05
30
30
10
13.333333
20
-0.522503
0.579528
0.11683
0.115938
0.847477
2.411383
1.069899
0.115938
0.579528
0.491519
0.013442
0.140485
0.335231
0.152038
0.187823
-0.59241
4
train
H0
H05
50
50
10
10
4
-2.873063
2.852573
2.980205
3.118397
9.724623
11.550527
9.742714
-2.873063
2.980205
0.003899
9.724402
9.01232
8.289289
6.697951
6.634091
-2.88621
4
train
H1
H05
50
50
10
12
6
-0.931066
0.914873
1.080426
1.072005
1.159131
1.322679
1.154061
1.072005
1.080426
0.357069
1.149194
0.990178
0.835614
1.027311
0.985979
-0.920965
4
train
H0
H05
75
75
10
8
14.666667
0.231899
-0.281011
0.455222
0.457792
2.303319
2.005987
2.512041
0.231899
0.455222
0.284785
0.209574
0.001135
0.079068
1.461462
1.355814
0.287528
4
train
H1
H05
75
75
10
4
9.333333
0.82847
-0.81156
-1.128617
-1.129563
1.651383
4.529138
1.434721
0.82847
1.128617
0.209706
1.275913
0.814722
0.658235
1.253736
1.11982
0.816421
4
train
H0
H05
100
100
10
5
11
0.30236
-0.262538
-1.103635
-1.108518
4.413602
6.859119
3.73505
-1.108518
1.103635
0.076526
1.228812
0.296238
0.068801
2.961284
2.747923
0.268555
4
train
H1
H05
100
100
10
10
8
2.048683
-2.06118
-1.744565
-1.754642
4.114787
4.166457
4.24962
2.048683
2.06118
0.036897
3.078768
3.939877
4.269667
0.903645
0.942328
2.086899
4
train
H0
H05
150
150
10
10
10
-0.04904
0.079468
-0.531813
-0.531834
1.699988
1.65783
1.746266
-0.531834
0.531813
0.417641
0.282848
0.027222
0.00631
1.082049
1.048711
-0.079862
4
train
H1
H05
150
150
10
8
6
3.456158
-3.473569
-2.756244
-2.798278
11.481383
14.416852
12.537406
3.456158
3.473569
0.000464
7.830361
10.544976
12.218283
1.948413
1.914353
3.500773
4
train
H0
H05
200
200
10
7
8.5
0.591245
-0.570492
-0.904121
-0.90257
0.903197
1.503532
1.01818
-0.90257
0.904121
0.564869
0.814633
0.583333
0.325287
0.949684
0.989961
0.575625
4
train
H1
H05
200
200
10
9.5
13
1.793206
-1.739637
-2.322426
-2.340873
6.190598
6.851147
6.01377
-2.340873
2.322426
0.049445
5.479688
3.929731
3.030943
5.522096
5.3514
1.752194
4
train
H0
H05
300
300
10
14.666667
7.666667
-0.637156
0.605513
1.014831
1.013011
1.762571
3.455215
1.404443
-0.637156
1.014831
0.326617
1.026191
0.477477
0.366488
1.468582
1.384313
-0.610032
4
train
H1
H05
300
300
10
7.333333
8.666667
0.396262
-0.40862
-0.194539
-0.19466
0.547791
2.207711
0.276254
-0.19466
0.40862
0.530431
0.037893
0.16874
0.166893
0.009472
0.003405
0.411404
4
train
H0
H05
500
500
10
6.6
10.4
0.873122
-0.900635
-0.091136
-0.091097
2.808462
2.521315
3.0144
0.873122
0.900635
0.221529
0.008299
0.35186
0.811101
0.658895
0.621609
0.905919
4
train
H1
H05
500
500
10
7.6
9.8
4.123769
-4.102392
-3.848536
-3.882949
17.291832
17.430459
17.263333
4.123769
4.102392
0.000037
15.077294
16.978811
16.895007
6.981753
7.210471
4.126372
4
train
H0
H05
1,000
1,000
10
10.5
10.5
0.241705
-0.214925
-0.677099
-0.677063
1.145785
1.125268
1.106281
0.241705
0.677099
0.575141
0.458414
0.152566
0.046185
0.953394
0.947054
0.216604
4
train
H1
H05
1,000
1,000
10
12.6
11.1
3.248171
-3.300933
-2.134859
-2.137479
14.329596
14.769422
13.701788
3.248171
3.300933
0.000878
4.568818
9.000415
10.917186
0.144041
0.148737
3.327082
4
train
H0
H05
20
20
20
15
20
0.549202
-0.564408
-0.769968
-0.760364
0.74019
0.700492
0.762567
0.549202
0.769968
0.566453
0.578153
0.449081
0.317649
0.571383
0.53525
0.573284
4
train
H1
H05
20
20
20
10
15
-0.373938
0.357517
0.494004
0.487095
0.250109
0.250653
0.257962
-0.373938
0.494004
0.713081
0.237261
0.197163
0.127499
0.357531
0.363822
-0.367722
4
train
H0
H05
30
30
20
26.666667
6.666667
-1.560258
1.518714
1.837985
1.856809
3.514339
5.358009
3.603135
1.856809
1.837985
0.117186
3.447738
3.028016
2.308099
3.441046
3.938827
-1.566693
4
train
H1
H05
30
30
20
20
10
1.208846
-1.210096
-0.657263
-0.663261
2.359096
5.566743
2.939235
1.208846
1.210096
0.134701
0.439915
0.894424
1.477975
0.059637
0.06685
1.22629
4
train
H0
H05
50
50
20
16
24
-0.316068
0.257982
0.331061
0.330738
0.128106
1.226451
0.110348
0.330738
0.331061
0.746667
0.109388
0.091896
0.066427
0.100216
0.175383
-0.267374
4
train
H1
H05
50
50
20
20
22
2.363494
-2.534933
-1.097487
-1.1304
15.869783
21.367954
13.908539
2.363494
2.534933
0.000088
1.277803
4.695524
6.515191
0.205128
0.08855
2.592101
4
train
H0
H05
75
75
20
20
18.666667
0.214979
-0.251515
0.040637
0.04045
0.451798
0.566138
0.399177
0.214979
0.251515
0.799756
0.001636
0.025433
0.063132
0.185598
0.156147
0.253663
4
train
H1
H05
75
75
20
17.333333
20
2.183398
-2.178595
-2.036191
-2.068466
4.678068
6.083853
4.82531
2.183398
2.178595
0.027916
4.27855
4.587677
4.788627
1.854444
1.806075
2.19846
4
train
H0
H05
100
100
20
20
20
0.122121
-0.049722
-0.677334
-0.677423
2.270424
2.309335
2.185257
-0.677423
0.677334
0.335334
0.458902
0.083794
0.002468
1.480503
1.447362
0.050479
4
train
H1
H05
100
100
20
17
19
-0.853889
0.866312
0.511759
0.509264
1.360946
2.014507
1.159371
-0.853889
0.866312
0.379256
0.25935
0.612569
0.749783
0.000789
0.005154
-0.879268
4
train
H0
H05
150
150
20
21.333333
18
0.458219
-0.467418
-0.364948
-0.364064
0.154824
0.635362
0.227173
-0.364064
0.467418
0.63434
0.132542
0.133378
0.218451
0.011787
0.009873
0.475627
4
train
H1
H05
150
150
20
22.666667
18
1.096451
-1.101661
-0.840425
-0.846024
1.557098
1.95667
1.394591
1.096451
1.101661
0.264845
0.715757
1.127866
1.214528
0.078253
0.095113
1.115013
4
train
H0
H05
200
200
20
20.5
20
-0.390087
0.422911
-0.040827
-0.040785
1.042527
0.937131
1.116361
-0.040785
0.422911
0.572249
0.001663
0.054565
0.178808
0.319867
0.316436
-0.428777
4
train
H1
H05
200
200
20
16.5
23
2.181413
-2.160623
-2.109209
-2.108981
4.586273
7.970037
4.845389
-2.108981
2.160623
0.028404
4.447801
4.386633
4.679393
2.144009
2.001788
2.191665
4
train
H0
H05
300
300
20
24.666667
21.333333
-1.776965
1.753298
1.738814
1.740166
3.13211
3.517177
3.226904
-1.776965
1.753298
0.07457
3.028177
2.976019
3.076665
1.596099
1.631376
-1.783097
4
train
H1
H05
300
300
20
19.666667
19.333333
2.646784
-2.655725
-2.198784
-2.214883
7.571297
8.120506
7.308828
2.646784
2.655725
0.006933
4.905708
6.658762
7.072111
1.265887
1.338204
2.700048
4
train
H0
H05
500
500
20
19.8
21
0.705457
-0.758736
-0.179018
-0.178869
2.092578
2.455233
1.85939
0.705457
0.758736
0.394674
0.031994
0.341066
0.57558
0.318182
0.311258
0.768681
4
train
H1
H05
500
500
20
22.2
22.2
1.5312
-1.555504
-1.237394
-1.237389
2.317809
2.638211
2.541136
1.5312
1.555504
0.114754
1.531131
2.023866
2.420658
0.270781
0.271336
1.57718
4
train
H0
H05
1,000
1,000
20
19.1
23.3
1.124053
-1.079738
-1.219861
-1.219752
1.509724
1.950482
1.488026
-1.219752
1.219861
0.273459
1.487795
1.477754
1.165778
1.04512
1.077958
1.095131
4
train
H1
H05
1,000
1,000
20
19.8
21.7
2.820371
-2.726973
-3.0458
-3.057123
9.355826
9.426328
9.350032
-3.057123
3.0458
0.005574
9.346
8.641449
7.442619
6.603574
6.616007
2.771816