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
H03
20
20
50
50
40
-1.547922
1.524991
1.475127
1.486809
2.506526
4.075271
2.445364
-1.547922
1.524991
0.088904
2.2106
2.612176
2.431417
0.401199
0.905988
-1.701209
7,644
train
H1
H03
20
20
50
70
55
-0.24138
0.399431
0.068683
0.070839
1.440641
1.45747
1.432363
-0.24138
0.399431
0.488615
0.005018
0.091745
0.191875
0.124425
0.091151
-0.524061
7,644
train
H0
H03
30
30
50
56.666667
43.333333
-0.053471
-0.265537
0.581835
0.575454
4.086401
4.433066
3.959508
-0.053471
0.581835
0.138103
0.331147
0.002292
0.05515
2.367688
2.094705
0.234225
7,644
train
H1
H03
30
30
50
40
50
0.540721
-0.366099
-0.68324
-0.679965
0.581068
7.410861
0.676326
-0.679965
0.68324
0.059894
0.462353
0.339172
0.133758
0.505385
0.631184
0.391475
7,644
train
H0
H03
50
50
50
42
46
-0.352168
0.204599
0.542908
0.544019
0.527384
3.090908
0.627401
-0.352168
0.542908
0.37782
0.295957
0.158513
0.041902
0.72682
0.835651
-0.233133
7,644
train
H1
H03
50
50
50
54
48
-1.640626
1.947424
1.128
1.137939
6.853804
7.013372
6.918852
1.137939
1.947424
0.031448
1.294905
2.672253
3.856498
0.244757
0.223822
-2.049507
7,644
train
H0
H03
75
75
50
53.333333
49.333333
-1.005917
1.287534
0.553073
0.54972
2.97178
3.769077
3.148432
0.54972
1.287534
0.168835
0.302192
0.989479
1.655099
0.230306
0.223054
-1.375957
7,644
train
H1
H03
75
75
50
45.333333
52
-0.632827
1.131057
-0.158012
-0.157509
7.67857
7.927854
7.833303
-0.157509
1.131057
0.019908
0.024809
0.358607
1.279479
3.028883
2.978691
-1.176774
7,644
train
H0
H03
100
100
50
58
59
-0.421007
0.436392
0.444552
0.446433
0.20961
0.921007
0.204998
0.446433
0.444552
0.651255
0.199302
0.167702
0.190607
0.247135
0.210187
-0.452019
7,644
train
H1
H03
100
100
50
54
48
-2.206864
2.783847
1.306438
1.30479
13.813222
14.951815
14.433418
-2.206864
2.783847
0.000734
1.702478
4.977194
7.788388
1.514447
1.442021
-2.905953
7,644
train
H0
H03
150
150
50
53.333333
55.333333
-0.512259
0.688715
0.360249
0.359837
0.429151
7.610062
0.580466
0.359837
0.688715
0.054797
0.129482
0.209199
0.475177
0.003722
0.008062
-0.731491
7,644
train
H1
H03
150
150
50
46.666667
55.333333
-1.53668
1.744515
1.246011
1.275183
2.998802
7.193322
3.27808
1.275183
1.744515
0.062664
1.626091
2.235602
3.083666
0.102187
0.098171
-1.861571
7,644
train
H0
H03
200
200
50
46
46.5
1.365842
-1.495383
-1.026939
-1.026638
2.867416
2.854767
2.861504
-1.026638
1.495383
0.112934
1.053986
1.825107
2.240235
0.013245
0.028667
1.585141
7,644
train
H1
H03
200
200
50
51.5
48.5
-2.374339
2.51939
2.092656
2.104902
5.922709
10.602689
6.255895
2.104902
2.51939
0.007958
4.430611
5.355874
6.391476
0.899427
0.768417
-2.653854
7,644
train
H0
H03
300
300
50
45.666667
53
0.433615
-0.295871
-0.561186
-0.560902
0.409272
3.361559
0.476638
-0.560902
0.561186
0.339166
0.314611
0.229518
0.087592
0.421882
0.497274
0.31357
7,644
train
H1
H03
300
300
50
47
44
-2.737982
3.149196
1.890747
1.89499
13.102019
22.735253
14.407403
1.89499
3.149196
0.000046
3.590988
6.706435
9.951857
0.137912
0.165423
-3.281193
7,644
train
H0
H03
500
500
50
46.8
52.2
1.228111
-1.286234
-1.053045
-1.051719
1.712653
1.728297
1.730571
-1.051719
1.286234
0.173148
1.106114
1.45749
1.653894
0.191636
0.16344
1.362158
7,644
train
H1
H03
500
500
50
50.2
48.6
-2.91076
3.412774
1.933944
1.939192
19.259738
22.618921
20.132296
1.939192
3.412774
0.000042
3.760465
8.025465
11.67495
0.628969
0.596647
-3.555594
7,644
train
H0
H03
1,000
1,000
50
52.1
48.2
-1.789807
1.660028
1.791232
1.790408
3.347428
5.628977
3.269531
-1.789807
1.791232
0.077307
3.205562
3.374684
2.755692
1.819163
1.900932
-1.766532
7,644
train
H1
H03
1,000
1,000
50
50.9
52.2
-3.35009
4.096941
2.140258
2.150896
27.427767
60.308431
30.909046
-3.35009
4.096941
0
4.626355
9.898757
16.849848
1.673439
1.691839
-4.284136
7,644
train
H0
H04
20
20
0
0
0
-0.865603
0.865603
0.795221
0.786298
0.730666
1.24535
0.752716
-0.865603
0.865603
0.380688
0.618265
0.742327
0.750596
0.243825
0.222575
-0.87663
7,644
train
H1
H04
20
20
0
0
0
-0.838553
0.838553
0.958441
0.969833
1.023925
6.020794
0.945055
0.969833
0.958441
0.110603
0.940575
1.03332
0.703385
0.661618
1.135522
-0.849235
7,644
train
H0
H04
30
30
0
0
0
-0.931419
0.931419
0.60606
0.598421
0.928183
2.139259
1.079703
-0.931419
0.931419
0.347588
0.358107
0.653293
0.86579
0.012034
0.00452
-0.939279
7,644
train
H1
H04
30
30
0
0
0
0.576593
-0.576593
-0.977514
-0.98138
1.376855
1.508596
1.386041
0.576593
0.977514
0.500063
0.963108
0.560265
0.331788
1.334655
1.339468
0.581458
7,644
train
H0
H04
50
50
0
0
0
0.723851
-0.723851
-0.648085
-0.640766
0.458316
0.789508
0.522878
-0.640766
0.723851
0.466921
0.410581
0.45375
0.522543
0.10913
0.089506
0.727498
7,644
train
H1
H04
50
50
0
0
0
-0.475674
0.475674
0.162039
0.16087
0.678821
1.636927
0.513777
-0.475674
0.475674
0.6326
0.025879
0.15142
0.225407
0.024468
0.004607
-0.47807
7,644
train
H0
H04
75
75
0
0
0
0.347682
-0.347682
0.365062
0.36506
2.566877
3.27866
2.097416
0.36506
0.365062
0.35039
0.133269
0.015222
0.120601
1.086729
0.965936
0.346514
7,644
train
H1
H04
75
75
0
0
0
-1.261053
1.261053
1.612833
1.62485
2.743962
2.753089
2.764881
1.62485
1.612833
0.208821
2.640137
2.074494
1.591773
2.525416
2.526021
-1.256814
7,644
train
H0
H04
100
100
0
0
0
0.317641
-0.317641
-0.510059
-0.508516
0.518128
2.323681
0.327302
0.317641
0.510059
0.508
0.258588
0.112612
0.100722
0.288734
0.228179
0.318438
7,644
train
H1
H04
100
100
0
0
0
-0.366508
0.366508
0.407007
0.404571
0.16515
0.552661
0.164438
0.404571
0.407007
0.7133
0.163678
0.146007
0.134066
0.132998
0.173005
-0.367428
7,644
train
H0
H04
150
150
0
0
0
1.410984
-1.410984
-1.679768
-1.687835
2.936385
4.081139
2.867717
-1.687835
1.679768
0.157555
2.848787
2.310844
1.991846
2.247985
2.156023
1.413341
7,644
train
H1
H04
150
150
0
0
0
-1.126125
1.126125
1.663356
1.67758
3.721363
5.564527
3.348088
1.67758
1.663356
0.13483
2.814274
1.722954
1.267878
3.437674
3.304607
-1.128006
7,644
train
H0
H04
200
200
0
0
0
0.213641
-0.213641
0.634282
0.639825
4.715752
7.904128
3.028171
0.213641
0.634282
0.048035
0.409375
0.001389
0.045651
1.757452
1.631665
0.213909
7,644
train
H1
H04
200
200
0
0
0
-1.532682
1.532682
1.254214
1.251319
2.278067
2.469015
2.377316
1.251319
1.532682
0.124882
1.565798
2.128485
2.350854
0.389407
0.382052
-1.534602
7,644
train
H0
H04
300
300
0
0
0
1.387602
-1.387602
-1.421458
-1.420744
2.111839
2.100316
2.114454
1.387602
1.421458
0.164906
2.018513
2.058835
1.92591
1.131556
1.13402
1.38876
7,644
train
H1
H04
300
300
0
0
0
-1.317892
1.317892
0.596722
0.595402
1.761922
4.759374
2.960097
-1.317892
1.317892
0.187172
0.354504
0.940269
1.737926
0.092381
0.115298
-1.318992
7,644
train
H0
H04
500
500
0
0
0
-0.774093
0.774093
1.018698
1.021555
1.454244
7.035712
1.099197
1.021555
1.018698
0.070768
1.043575
0.624818
0.59907
1.035075
0.964099
-0.77448
7,644
train
H1
H04
500
500
0
0
0
-2.751259
2.751259
2.338294
2.343306
6.740468
9.294629
7.592445
-2.751259
2.751259
0.005912
5.491082
6.741802
7.5826
1.606955
1.558054
-2.752636
7,644
train
H0
H04
1,000
1,000
0
0
0
-1.609132
1.609132
0.343671
0.343761
7.104975
6.930598
7.064807
-1.609132
1.609132
0.029235
0.118172
1.43787
2.590102
1.100807
1.057619
-1.609535
7,644
train
H1
H04
1,000
1,000
0
0
0
-2.221298
2.221298
1.122937
1.124331
8.589523
9.305182
7.558003
-2.221298
2.221298
0.022845
1.264119
3.830718
4.937356
0.109207
0.112753
-2.221853
7,644
train
H0
H04
20
20
10
10
0
0.102871
-0.081288
-0.075137
-0.074651
0.018063
3.063069
0.012773
0.102871
0.081288
0.382003
0.005573
0.000054
0.006559
0.002789
0.027481
0.079408
7,644
train
H1
H04
20
20
10
10
10
-1.330186
1.32212
1.092052
1.094033
1.942048
2.08798
1.850871
-1.330186
1.32212
0.178484
1.196909
1.664842
1.763153
0.240261
0.328172
-1.345436
7,644
train
H0
H04
30
30
10
16.666667
10
0.10259
-0.022635
-0.634273
-0.64765
2.541485
3.167964
2.325465
-0.64765
0.634273
0.312631
0.41945
0.068787
0.000511
1.571322
1.478134
-0.014871
7,644
train
H1
H04
30
30
10
10
6.666667
-1.851497
1.854913
1.705706
1.726417
3.597282
3.790834
3.464523
-1.851497
1.854913
0.0605
2.980515
3.564627
3.464429
1.039006
1.253087
-1.877129
7,644
train
H0
H04
50
50
10
12
6
-1.521895
1.525936
1.105079
1.105201
2.919142
3.562633
2.686076
-1.521895
1.525936
0.1223
1.221468
2.049599
2.334267
0.081024
0.152347
-1.54519
7,644
train
H1
H04
50
50
10
4
12
0.626917
-0.601904
-0.889336
-0.888394
1.171108
3.625045
0.957353
0.626917
0.889336
0.304903
0.789244
0.435531
0.361409
0.832763
0.708851
0.606926
7,644
train
H0
H04
75
75
10
9.333333
12
0.381308
-0.388872
-0.216201
-0.214318
0.139531
0.733274
0.224837
0.381308
0.388872
0.695007
0.045932
0.090742
0.151011
0.005064
0.012158
0.39207
7,644
train
H1
H04
75
75
10
14.666667
13.333333
-0.321999
0.370788
-0.268292
-0.267137
2.117065
2.356633
1.845381
-0.321999
0.370788
0.397448
0.071362
0.03031
0.137206
0.855462
0.81867
-0.365864
7,644
train
H0
H04
100
100
10
9
7
-0.12308
0.12063
0.283427
0.281432
0.177178
0.272246
0.160362
-0.12308
0.283427
0.902835
0.079204
0.033155
0.014522
0.19937
0.177518
-0.122081
7,644
train
H1
H04
100
100
10
7
12
-0.358796
0.420945
-0.620303
-0.618568
4.391867
4.271212
4.448345
-0.618568
0.620303
0.108157
0.382626
0.001037
0.17693
2.421079
2.305605
-0.423457
7,644
train
H0
H04
150
150
10
11.333333
10
0.374928
-0.351847
-0.401125
-0.399706
0.2619
3.589398
0.161045
-0.399706
0.401125
0.309351
0.159765
0.211157
0.12367
0.099135
0.164828
0.355657
7,644
train
H1
H04
150
150
10
10.666667
11.333333
-0.989147
1.077636
-0.348194
-0.349959
7.320488
13.324713
9.323889
-0.989147
1.077636
0.003985
0.122471
0.189881
1.163257
3.663688
3.878241
-1.089792
7,644
train
H0
H04
200
200
10
9.5
10
0.103535
-0.131893
0.350058
0.349856
1.151476
1.22894
1.011178
0.103535
0.350058
0.60315
0.122399
0.000451
0.017378
0.655368
0.625824
0.133442
7,644
train
H1
H04
200
200
10
8
10.5
-0.026271
0.038241
-0.264654
-0.263995
0.540578
1.405393
0.407993
-0.026271
0.264654
0.704271
0.069693
0.002817
0.001462
0.257836
0.208598
-0.037889
7,644
train
H0
H04
300
300
10
7.333333
7
0.623729
-0.63941
-0.270173
-0.26961
0.77393
0.802632
0.770833
0.623729
0.63941
0.521513
0.07269
0.270162
0.408726
0.043295
0.039109
0.641015
7,644
train
H1
H04
300
300
10
10.333333
9
-1.265293
1.274916
0.840728
0.838877
1.796529
1.825262
2.017834
0.838877
1.274916
0.200158
0.703715
1.226246
1.625644
0.020299
0.023713
-1.281102
7,644
train
H0
H04
500
500
10
9.6
11.2
-0.321963
0.336872
-0.020173
-0.020176
0.786688
1.033687
0.565134
-0.321963
0.336872
0.733736
0.000407
0.072193
0.11349
0.156994
0.147681
-0.34016
7,644
train
H1
H04
500
500
10
9
10.4
-0.800268
0.834509
0.232511
0.232327
1.558292
1.371167
1.74263
-0.800268
0.834509
0.400344
0.053976
0.364596
0.696371
0.213267
0.190822
-0.841008
7,644
train
H0
H04
1,000
1,000
10
9.2
11.4
0.39142
-0.36877
-0.728662
-0.72861
1.359688
3.915372
0.852223
0.39142
0.728662
0.270749
0.530873
0.154692
0.13599
0.8315
0.785775
0.372088
7,644
train
H1
H04
1,000
1,000
10
10.3
10.5
-1.826259
1.86427
1.245985
1.246289
2.493097
15.442096
4.06697
-1.826259
1.86427
0.001475
1.553236
2.224433
3.476877
0.061073
0.042979
-1.8785
7,644
train
H0
H04
20
20
20
35
15
-2.051474
2.11739
1.626614
1.629977
4.934292
5.06923
4.986359
-2.051474
2.11739
0.030446
2.656826
3.872391
4.563333
0.198405
0.239292
-2.16424
7,644
train
H1
H04
20
20
20
20
40
0.207155
-0.264512
0.000693
0.000708
0.270434
4.119474
0.449724
0.207155
0.264512
0.248849
0.000001
0.007881
0.070328
0.198862
0.278362
0.320495
7,644
train
H0
H04
30
30
20
13.333333
13.333333
0.432183
-0.342308
-1.048025
-1.079556
3.666998
3.851639
3.526975
-1.079556
1.048025
0.171446
1.165442
0.400198
0.116965
2.936739
2.810015
0.342798
7,644
train
H1
H04
30
30
20
20
10
0.802301
-0.832048
-0.260991
-0.259474
2.529903
5.724049
1.894375
-0.259474
0.832048
0.125836
0.067327
0.495628
0.692931
0.239577
0.124615
0.820848
7,644
train
H0
H04
50
50
20
26
20
-1.808546
1.800598
2.026828
2.08465
4.389784
6.56511
4.475921
-1.808546
2.026828
0.067546
4.345767
4.088488
3.272236
3.942567
4.22228
-1.828025
7,644
train
H1
H04
50
50
20
20
26
0.9647
-0.953987
-0.952772
-0.959192
0.96628
1.073978
0.956141
-0.959192
0.953987
0.331901
0.92005
0.975488
0.910948
0.408032
0.428605
0.970292
7,644
train
H0
H04
75
75
20
24
24
1.037092
-1.069503
-0.786395
-0.791078
1.038815
7.682858
1.336545
1.037092
1.069503
0.053042
0.625804
0.802154
1.1444
0.053942
0.035277
1.081282
7,644
train
H1
H04
75
75
20
16
22.666667
-0.955493
0.88421
1.114299
1.129842
1.30225
1.642766
1.316989
1.129842
1.114299
0.368141
1.276542
1.003526
0.783095
1.263771
1.3628
-0.899962
7,644
train
H0
H04
100
100
20
18
12
-0.806089
0.790688
0.630619
0.627381
0.681302
0.631498
0.710501
0.627381
0.790688
0.425261
0.393607
0.535464
0.624587
0.082589
0.088264
-0.797327
7,644
train
H1
H04
100
100
20
22
18
-1.262738
1.241412
1.166717
1.166941
1.623984
1.701775
1.593874
1.166941
1.241412
0.207895
1.36175
1.540925
1.540363
0.588526
0.569674
-1.259374
7,644
train
H0
H04
150
150
20
18
20.666667
0.014088
-0.031968
0.041824
0.041707
0.00317
0.754338
0.019211
0.014088
0.041824
0.860355
0.001739
0.001251
0.001021
0.017777
0.022975
0.031525
7,644
train
H1
H04
150
150
20
20
25.333333
-1.036284
1.06022
0.939561
0.943737
0.938302
4.133084
1.077536
0.943737
1.06022
0.247447
0.89064
0.933397
1.125164
0.373644
0.325146
-1.087702
7,644
train
H0
H04
200
200
20
21
18
-0.127399
0.125789
0.048073
0.048012
0.013632
0.165179
0.046433
0.048012
0.125789
0.898297
0.002305
0.002394
0.01582
0.001935
0.001961
-0.127813
7,644
train
H1
H04
200
200
20
17
25.5
0.674327
-0.515658
-1.571852
-1.571909
6.181165
6.302055
6.058732
-1.571909
1.571852
0.048346
2.470897
0.825945
0.265707
5.364346
5.361607
0.52866
7,644
train
H0
H04
300
300
20
19.666667
16
0.43415
-0.449747
-0.25294
-0.252343
0.284307
0.342707
0.302036
0.43415
0.449747
0.648636
0.063677
0.145064
0.202263
0.003923
0.005735
0.455658
7,644
train
H1
H04
300
300
20
20.333333
18.333333
-0.841083
0.822663
1.040851
1.03963
1.333928
4.376145
1.156937
-0.841083
1.040851
0.223608
1.080831
0.717422
0.676717
1.126586
1.033191
-0.83393
7,644
train
H0
H04
500
500
20
19.2
22.6
1.902247
-1.799983
-2.19619
-2.199808
4.864977
6.189
4.909975
-2.199808
2.19619
0.067222
4.839155
4.019744
3.241692
4.016283
4.175589
1.830184
7,644
train
H1
H04
500
500
20
15.4
19.2
0.523203
-0.495375
-0.442961
-0.442757
0.734085
7.818703
0.278848
-0.442757
0.495375
0.049911
0.196034
0.430226
0.245325
0.053491
0.076774
0.502913
7,644
train
H0
H04
1,000
1,000
20
19.9
20
-0.597223
0.611881
0.406632
0.406477
0.600341
1.423278
0.472492
0.406477
0.611881
0.534349
0.165223
0.342631
0.374341
0.005018
0.008733
-0.621382
7,644
train
H1
H04
1,000
1,000
20
20.4
19.6
-3.835959
3.856269
3.286011
3.299347
14.413981
14.57107
15.034337
-3.835959
3.856269
0.000092
10.885692
13.546431
14.899464
2.859221
2.93627
-3.909953
7,644
train
H0
H04
20
20
30
20
40
1.401577
-1.420244
-1.353251
-1.357075
1.957616
2.001728
1.964136
1.401577
1.420244
0.144398
1.841654
1.993419
2.010874
0.757895
0.776912
1.459607
7,644
train
H1
H04
20
20
30
30
35
-0.554389
0.601727
0.539377
0.536007
0.294678
1.362686
0.310048
0.536007
0.601727
0.533374
0.287304
0.311904
0.36273
0.260516
0.224665
-0.622864
7,644
train
H0
H04
30
30
30
26.666667
30
0.111746
-0.082635
-0.208832
-0.207023
0.063866
1.306438
0.097349
-0.207023
0.208832
0.727605
0.042859
0.034773
0.006812
0.033955
0.056618
0.088741
7,644
train
H1
H04
30
30
30
30
30
0.509599
-0.563631
-0.421505
-0.420463
0.445872
6.786516
0.291554
0.509599
0.563631
0.079023
0.176789
0.385998
0.317189
0.020957
0.081088
0.58507
7,644
train
H0
H04
50
50
30
34
22
-1.658975
1.747405
1.399349
1.394339
2.820731
4.448426
2.992665
-1.658975
1.747405
0.075205
1.94418
2.575841
3.060525
0.367074
0.327961
-1.779213
7,644
train
H1
H04
50
50
30
22
32
-0.212132
0.13986
0.388357
0.396773
0.432457
0.534345
0.405546
-0.212132
0.388357
0.816463
0.157429
0.057008
0.019542
0.474469
0.46232
-0.127768
7,644
train
H0
H04
75
75
30
30.666667
37.333333
1.041817
-0.888442
-1.23153
-1.228386
1.56945
2.76127
1.619147
-1.228386
1.23153
0.362927
1.508933
1.12162
0.788475
1.315022
1.541072
0.909802
7,644
train
H1
H04
75
75
30
30.666667
25.333333
-0.536438
0.489768
0.789974
0.786977
0.997835
1.201484
0.953096
0.786977
0.789974
0.616509
0.619332
0.358969
0.239503
1.120926
1.055187
-0.500803
7,644
train
H0
H04
100
100
30
35
24
-0.482989
0.311725
1.02794
1.025487
2.699999
3.462914
2.923916
1.025487
1.02794
0.231782
1.051624
0.403599
0.09705
2.694688
2.763773
-0.319523
7,644
train
H1
H04
100
100
30
20
31
0.239994
-0.135057
-0.736124
-0.733141
1.594083
4.028066
1.948242
-0.733141
0.736124
0.258449
0.537495
0.200567
0.018227
1.463967
1.564499
0.142713
7,644
train
H0
H04
150
150
30
29.333333
30.666667
0.204403
-0.111454
-0.471653
-0.47166
0.363067
7.181765
0.683371
-0.47166
0.471653
0.066325
0.222464
0.160157
0.012427
0.597954
0.71254
0.11163
7,644
train
H1
H04
150
150
30
32.666667
25.333333
-1.014978
0.998656
0.911222
0.910641
0.983266
1.292013
1.043351
0.910641
0.998656
0.308048
0.829267
0.902803
0.996863
0.330726
0.333308
-1.019326
7,644
train
H0
H04
200
200
30
26.5
33
0.529438
-0.457142
-0.781468
-0.779795
0.922866
0.911156
0.934649
0.529438
0.781468
0.626677
0.60808
0.364422
0.20881
0.842716
0.834375
0.469464
7,644
train
H1
H04
200
200
30
32.5
31.5
-0.489237
0.490359
0.287859
0.287528
0.625294
1.563444
0.514974
0.287528
0.490359
0.619342
0.082672
0.20941
0.24028
0.006497
0.004427
-0.496783
7,644
train
H0
H04
300
300
30
32.333333
30
-1.250538
1.253676
1.175184
1.175288
1.499296
2.219064
1.564334
-1.250538
1.253676
0.199326
1.381301
1.471877
1.571733
0.6291
0.610417
-1.283473
7,644
train
H1
H04
300
300
30
30.666667
27
-3.061759
3.074012
2.649521
2.667291
9.692334
9.456485
9.763918
-3.061759
3.074012
0.001744
7.114441
8.8433
9.479593
1.760431
1.915558
-3.130675
7,644
train
H0
H04
500
500
30
26.8
31.8
2.063049
-1.972465
-2.316057
-2.320487
5.586755
8.111303
5.475046
2.063049
2.316057
0.043704
5.384659
4.34791
3.89223
4.43135
4.353012
2.01692
7,644
train
H1
H04
500
500
30
27.4
30.8
-1.825423
1.954212
1.197003
1.201705
4.694685
9.327401
5.456288
-1.825423
1.954212
0.02524
1.444095
2.601382
3.825615
0.004452
0.006255
-1.996901
7,644
train
H0
H04
1,000
1,000
30
31.5
30.2
-1.552711
1.59435
1.266921
1.267325
2.732667
2.805779
2.669907
-1.552711
1.59435
0.101946
1.606113
2.350845
2.542465
0.268914
0.279008
-1.635492
7,644
train
H1
H04
1,000
1,000
30
29.6
28.6
-4.123846
4.255269
3.144587
3.154646
20.793355
20.254243
20.863238
-4.123846
4.255269
0.000014
9.951791
15.458772
18.151038
0.60721
0.681842
-4.339338