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
8
train
H0
H13
20
20
30
20
25
0.093926
0
-0.638371
-0.649728
2.434555
5.253923
2.792874
-0.649728
0.638371
0.15412
0.422146
0.098001
0
1.772396
1.943707
0.013476
8
train
H1
H13
20
20
30
25
35
0.405392
-0.40678
-0.538192
-0.527895
0.438878
2.560929
0.345462
-0.527895
0.538192
0.46438
0.278673
0.150003
0.165344
0.281818
0.133463
0.418722
8
train
H0
H13
30
30
30
36.666667
16.666667
-2.390446
2.374735
2.509999
2.579824
6.681333
7.966267
6.662682
-2.390446
2.509999
0.013423
6.655494
6.180197
5.72307
5.338981
5.250777
-2.472342
8
train
H1
H13
30
30
30
26.666667
33.333333
-1.104161
1.09816
0.826223
0.830021
1.732937
2.616767
1.563502
-1.104161
1.09816
0.25551
0.688934
1.111728
1.211683
0.050445
0.113804
-1.137067
8
train
H0
H13
50
50
30
44
34
-0.149353
-0.012009
0.521254
0.520513
1.575561
1.981713
1.464607
0.520513
0.521254
0.4808
0.270934
0.028372
0.000144
1.287423
1.192075
0.012204
8
train
H1
H13
50
50
30
20
22
-1.257059
1.303778
0.613957
0.616112
3.994027
5.637173
3.512391
-1.257059
1.303778
0.13066
0.379594
1.255973
1.710112
0.21383
0.119219
-1.336803
8
train
H0
H13
75
75
30
30.666667
36
0.39675
-0.444169
-0.357776
-0.355908
0.128322
3.105292
0.160518
-0.355908
0.444169
0.375674
0.126671
0.117851
0.196905
0.021935
0.008983
0.45196
8
train
H1
H13
75
75
30
37.333333
21.333333
-0.70439
0.880907
0.072779
0.073303
2.822244
2.729897
3.07466
-0.70439
0.880907
0.214954
0.005373
0.305796
0.777483
0.747485
0.676091
-0.909092
8
train
H0
H13
100
100
30
20
25
-0.255976
0.320005
-0.167908
-0.167022
0.928707
0.925029
1.090075
-0.167022
0.320005
0.57982
0.027896
0.011012
0.102492
0.427562
0.379682
-0.323944
8
train
H1
H13
100
100
30
26
33
0.793225
-0.708815
-1.158378
-1.162828
2.02972
2.781982
2.167965
-1.162828
1.158378
0.338246
1.352169
0.908472
0.501797
1.974249
2.017382
0.720486
8
train
H0
H13
150
150
30
23.333333
30.666667
0.255645
-0.254346
-0.144767
-0.145609
0.290176
2.419977
0.127928
-0.145609
0.254346
0.489927
0.021202
0.096344
0.064654
0.004768
0.001937
0.265179
8
train
H1
H13
150
150
30
34
34
1.667341
-1.77545
-1.256561
-1.262184
3.788738
3.993822
3.793111
1.667341
1.77545
0.069042
1.593109
2.563392
3.170731
0.100374
0.097724
1.818142
8
train
H0
H13
200
200
30
25.5
30.5
0.76781
-0.752194
-0.702388
-0.702453
0.668869
1.75413
0.588993
-0.702453
0.752194
0.441813
0.49344
0.636041
0.565414
0.153052
0.19748
0.769135
8
train
H1
H13
200
200
30
29
29.5
-0.566945
0.655829
0.192997
0.192518
1.693423
4.503415
1.276867
0.192518
0.655829
0.211986
0.037063
0.33548
0.42977
0.189227
0.161849
-0.669559
8
train
H0
H13
300
300
30
26.333333
28.666667
0.596323
-0.64702
-0.306949
-0.306441
1.064343
1.869192
0.806378
0.596323
0.64702
0.509345
0.093906
0.364243
0.418403
0.036574
0.034282
0.659857
8
train
H1
H13
300
300
30
32.333333
30.666667
0.249803
-0.197868
-0.336643
-0.336492
0.119115
1.257091
0.149774
0.249803
0.336643
0.739347
0.113227
0.095582
0.039141
0.125043
0.123472
0.200933
8
train
H0
H13
500
500
30
28.6
28.2
-0.203193
0.371204
-0.461509
-0.46156
2.963413
3.436753
3.183867
-0.46156
0.461509
0.203532
0.213037
0.001376
0.137776
1.680306
1.735216
-0.378914
8
train
H1
H13
500
500
30
32.4
33.6
0.152785
-0.017877
-0.577526
-0.577298
1.504518
1.750544
1.622329
-0.577298
0.577526
0.44434
0.333273
0.061143
0.00032
1.138532
1.14936
0.01888
8
train
H0
H13
1,000
1,000
30
30.9
28.4
-1.627711
1.654448
1.347525
1.347096
2.799537
2.829268
2.850454
-1.627711
1.654448
0.089735
1.814668
2.471005
2.737377
0.357867
0.341427
-1.6968
8
train
H1
H13
1,000
1,000
30
30.6
28
-1.253364
1.575905
-0.064886
-0.06516
12.605857
13.781305
13.477196
-1.253364
1.575905
0.001184
0.004246
0.873021
2.48453
4.26474
4.25077
-1.614594
8
train
H0
H13
20
20
40
40
20
-2.157309
2.080351
2.265995
2.389507
5.915479
6.410969
5.941944
-2.157309
2.265995
0.036477
5.709746
5.123891
4.385787
6.284672
6.421889
-2.091575
8
train
H1
H13
20
20
40
20
45
0.112228
0.045386
-0.479807
-0.472088
1.174998
2.966897
1.34169
-0.472088
0.479807
0.396757
0.222867
0.043378
0.002053
0.727354
0.812654
-0.030771
8
train
H0
H13
30
30
40
46.666667
43.333333
-0.738831
0.8356
0.441309
0.44544
1.788628
4.843919
1.577667
0.44544
0.8356
0.18359
0.198417
0.583496
0.697285
0.094915
0.035546
-0.875529
8
train
H1
H13
30
30
40
40
43.333333
0.174697
-0.051471
-0.429852
-0.431943
0.845402
3.191269
0.967008
-0.431943
0.429852
0.363065
0.186574
0.058578
0.002644
0.57917
0.620436
0.039264
8
train
H0
H13
50
50
40
42
34
-0.19561
0.217488
0.122996
0.122227
0.09714
0.240344
0.084885
0.122227
0.217488
0.821764
0.01494
0.034532
0.047178
0.002904
0.006734
-0.225277
8
train
H1
H13
50
50
40
38
42
0.237921
-0.213813
-0.494108
-0.496348
0.77867
4.138949
0.948965
0.237921
0.494108
0.246846
0.246361
0.162989
0.045739
0.644808
0.705253
0.226495
8
train
H0
H13
75
75
40
42.666667
37.333333
-0.944554
1.064003
0.634808
0.633996
1.685982
1.790994
1.731318
0.633996
1.064003
0.281923
0.401951
0.834116
1.133469
0.002044
0.000685
-1.07601
8
train
H1
H13
75
75
40
49.333333
42.666667
-0.287925
0.254815
0.335402
0.334176
0.131583
0.136252
0.131485
0.334176
0.335402
0.788308
0.111674
0.079358
0.064845
0.210542
0.192278
-0.268509
8
train
H0
H13
100
100
40
47
46
0.226846
-0.251705
-0.123585
-0.123053
0.17947
0.433642
0.156927
-0.123053
0.251705
0.79557
0.015142
0.049002
0.063301
0.030129
0.017701
0.259084
8
train
H1
H13
100
100
40
34
41
0.404616
-0.382043
-0.499795
-0.496815
0.279182
0.325898
0.275571
0.404616
0.499795
0.684858
0.246825
0.205065
0.145743
0.19064
0.182374
0.405843
8
train
H0
H13
150
150
40
36
36
1.757177
-1.834588
-1.410604
-1.419885
3.652564
3.57313
3.677062
1.757177
1.834588
0.059075
2.016072
2.922451
3.370901
0.230299
0.271843
1.887631
8
train
H1
H13
150
150
40
48
36
-2.035203
1.980301
1.958563
1.958377
4.336805
7.845662
4.140134
-2.035203
1.980301
0.040562
3.835242
4.49834
3.920504
1.677213
1.907048
-2.04798
8
train
H0
H13
200
200
40
42.5
37.5
-1.552583
1.465841
1.583481
1.586838
2.535905
2.603688
2.53725
1.586838
1.583481
0.129185
2.518054
2.31793
2.149146
1.668697
1.801553
-1.517324
8
train
H1
H13
200
200
40
42.5
40
-0.732295
0.913127
0.262294
0.261881
2.726966
2.706537
2.707486
0.261881
0.913127
0.258272
0.068582
0.446421
0.833286
0.4137
0.411737
-0.943824
8
train
H0
H13
300
300
40
41
46
1.041203
-0.701132
-1.598531
-1.610414
5.875836
6.395824
6.0212
-1.610414
1.598531
0.049262
2.593433
1.180214
0.491408
5.372085
5.393061
0.720888
8
train
H1
H13
300
300
40
42
38.666667
-0.84433
1.09596
0.225184
0.225023
4.185323
5.226671
4.463095
0.225023
1.09596
0.107362
0.050635
0.551516
1.201362
0.890641
0.927687
-1.130898
8
train
H0
H13
500
500
40
38
39
0.648496
-0.788792
-0.29991
-0.3005
1.640664
2.221633
1.490254
0.648496
0.788792
0.417375
0.0903
0.43538
0.622143
0.154555
0.142497
0.810985
8
train
H1
H13
500
500
40
40.2
41
0.393505
0.039012
-1.31013
-1.319993
9.395152
11.510271
10.09199
-1.319993
1.31013
0.006435
1.742381
0.299046
0.001523
7.154614
7.202177
-0.051569
8
train
H0
H13
1,000
1,000
40
40.4
40.6
0.042877
-0.072452
0.090022
0.089945
0.238902
0.709144
0.175733
0.089945
0.090022
0.871051
0.00809
0.003283
0.005242
0.104511
0.09286
0.074766
8
train
H1
H13
1,000
1,000
40
39.1
42.2
0.949964
-0.774695
-1.307344
-1.30737
2.480617
2.763878
2.609785
-1.30737
1.307344
0.271202
1.709216
1.093108
0.600104
2.512558
2.484328
0.80089
8
train
H0
H13
20
20
50
55
50
-0.254687
0.088075
0.310009
0.309919
0.117259
2.597346
0.140237
-0.254687
0.310009
0.457955
0.09605
0.057368
0.01117
0.288275
0.387511
-0.124665
8
train
H1
H13
20
20
50
65
30
-2.206571
2.152281
2.079282
2.071626
4.95085
4.968212
4.959184
-2.206571
2.152281
0.025105
4.291632
4.59209
4.644902
1.718032
1.773834
-2.239784
8
train
H0
H13
30
30
50
46.666667
56.666667
1.129779
-1.129822
-1.049278
-1.049647
1.332866
3.598487
1.370009
-1.049647
1.129822
0.245045
1.10176
1.178388
1.279586
0.259783
0.24986
1.162469
8
train
H1
H13
30
30
50
53.333333
66.666667
0.500951
-0.125725
-0.820413
-0.814223
3.21793
3.305213
3.179603
-0.814223
0.820413
0.203966
0.662959
0.145832
0.015787
2.094518
2.008666
0.164956
8
train
H0
H13
50
50
50
52
34
-1.231604
1.187096
1.295965
1.295296
1.696474
4.459822
1.679744
-1.231604
1.295965
0.208842
1.677792
1.425356
1.415241
1.420104
1.341248
-1.256756
8
train
H1
H13
50
50
50
56
44
-1.525224
1.711702
1.126716
1.135965
4.950412
8.672896
5.179812
1.135965
1.711702
0.033971
1.290416
2.078204
2.950817
0.035258
0.046566
-1.773873
8
train
H0
H13
75
75
50
53.333333
49.333333
-0.897469
1.072072
0.602514
0.608138
2.484109
5.978898
2.264479
0.608138
1.072072
0.112641
0.369832
0.916226
1.150251
0.042023
0.02048
-1.097902
8
train
H1
H13
75
75
50
49.333333
52
-0.301641
0.302604
0.16738
0.167341
0.324669
0.77851
0.367149
-0.301641
0.302604
0.755955
0.028003
0.049227
0.091512
0.007382
0.009375
-0.310798
8
train
H0
H13
100
100
50
46
48
-0.002726
-0.164326
0.226277
0.226568
0.648172
0.689086
0.678026
0.226568
0.226277
0.712473
0.051333
0.00007
0.026993
0.493544
0.484745
0.175455
8
train
H1
H13
100
100
50
43
48
0.295964
0.126685
-1.118281
-1.1208
9.932196
9.896154
9.829327
-1.1208
1.118281
0.007338
1.256192
0.131198
0.01605
6.544605
6.303191
-0.111276
8
train
H0
H13
150
150
50
48.666667
53.333333
0.172435
-0.123228
-0.249255
-0.249907
0.139434
0.139234
0.141007
-0.249907
0.249255
0.898161
0.062453
0.034334
0.015171
0.084047
0.080698
0.127984
8
train
H1
H13
150
150
50
52.666667
52.666667
0.128024
-0.170643
-0.07886
-0.07877
0.101021
3.234144
0.052541
-0.07877
0.170643
0.356914
0.006205
0.054125
0.029094
0.00968
0.003411
0.177769
8
train
H0
H13
200
200
50
50.5
51
0.765594
-1.157569
-0.213645
-0.213738
5.609756
5.869771
5.520285
-0.213738
1.157569
0.063283
0.045684
0.682974
1.340092
1.045509
1.042056
1.197677
8
train
H1
H13
200
200
50
48
52
1.124156
-1.252049
-0.939737
-0.937868
1.456995
2.683841
1.55822
-0.937868
1.252049
0.190166
0.879596
1.27894
1.567338
0.088615
0.07215
1.310089
8
train
H0
H13
300
300
50
48
52.333333
0.187832
-0.264963
-0.154403
-0.154686
0.03248
1.176221
0.047374
-0.154686
0.264963
0.758713
0.023928
0.042291
0.070181
0.000048
0.000178
0.276096
8
train
H1
H13
300
300
50
46.333333
46.666667
0.911618
-0.739821
-1.093658
-1.096521
1.318672
6.46531
1.461756
0.911618
1.093658
0.091041
1.202359
1.001988
0.547747
1.339427
1.464348
0.7656
8
train
H0
H13
500
500
50
51.4
49.6
-0.433073
0.080252
0.941363
0.943368
4.522952
5.094168
4.324859
0.943368
0.941363
0.115045
0.889943
0.126039
0.006439
3.321294
3.292424
-0.085261
8
train
H1
H13
500
500
50
47.4
53.4
1.956229
-1.723092
-2.237882
-2.240973
5.67361
6.30408
5.755636
-2.240973
2.237882
0.056257
5.021959
3.999462
2.969842
5.251892
5.253734
1.788046
8
train
H0
H13
1,000
1,000
50
48.6
48
-0.793847
0.826819
0.620699
0.62067
0.922366
1.164592
0.881629
0.62067
0.826819
0.388169
0.385232
0.585184
0.683605
0.018531
0.025792
-0.862942
8
train
H1
H13
1,000
1,000
50
50.8
49.9
-1.361051
1.857976
0.527384
0.527195
11.19547
11.279938
11.375733
0.527195
1.857976
0.003387
0.277934
1.904345
3.452602
2.173388
2.119647
-1.930267
8
train
H0
H14
20
20
0
0
0
-2.082857
2.082857
2.134259
2.255357
5.10826
5.116154
5.102507
-2.082857
2.134259
0.034911
5.086633
4.91688
4.433726
3.180121
3.409045
-2.109391
8
train
H1
H14
20
20
0
0
0
-0.622152
0.622152
0.985824
0.989679
1.601028
3.671094
1.383772
-0.622152
0.985824
0.29924
0.979465
0.562949
0.384238
1.650788
1.489171
-0.630078
8
train
H0
H14
30
30
0
0
0
0.724437
-0.724437
-0.858898
-0.854368
0.810923
2.650032
0.735944
0.724437
0.858898
0.448786
0.729945
0.537601
0.522468
0.507918
0.40711
0.73055
8
train
H1
H14
30
30
0
0
0
-0.473102
0.473102
0.288333
0.287346
0.725191
5.099265
0.303369
-0.473102
0.473102
0.164671
0.082568
0.262357
0.223082
0.000025
0.026013
-0.477094
8
train
H0
H14
50
50
0
0
0
0.365372
-0.365372
-1.122409
-1.132927
3.352767
3.44794
3.252435
-1.132927
1.122409
0.196672
1.283525
0.467037
0.133172
2.643099
2.506172
0.367213
8
train
H1
H14
50
50
0
0
0
0.130983
-0.130983
-0.238543
-0.235682
0.055767
1.0098
0.079682
-0.235682
0.238543
0.798881
0.055546
0.051844
0.0171
0.051549
0.087374
0.131642
8
train
H0
H14
75
75
0
0
0
2.193218
-2.193218
-1.598213
-1.605106
4.386584
9.027529
5.296279
2.193218
2.193218
0.028827
2.576366
3.844474
4.849238
0.388428
0.334953
2.185846
8
train
H1
H14
75
75
0
0
0
-1.426437
1.426437
1.598936
1.606713
2.583016
2.721318
2.58279
1.606713
1.598936
0.15513
2.581527
2.383901
2.037508
1.935318
1.907595
-1.421642
8
train
H0
H14
100
100
0
0
0
-0.356735
0.356735
0.541506
0.538959
0.305499
0.963519
0.344693
-0.356735
0.541506
0.72062
0.290477
0.216555
0.127054
0.385265
0.459476
-0.35763
8
train
H1
H14
100
100
0
0
0
1.370741
-1.370741
-1.374154
-1.373297
1.922295
2.702829
2.009786
1.370741
1.374154
0.169386
1.885944
1.864795
1.880472
0.96667
0.910173
1.374181
8
train
H0
H14
150
150
0
0
0
2.530453
-2.530453
-2.000638
-2.021984
7.72951
11.053797
6.611406
2.530453
2.530453
0.011255
4.08842
6.246594
6.439836
1.055254
1.265285
2.534681
8
train
H1
H14
150
150
0
0
0
0.149085
-0.149085
0.382682
0.381843
1.251773
1.564694
1.114865
0.381843
0.382682
0.572677
0.145804
0.001606
0.022201
0.733942
0.661531
0.149334
8
train
H0
H14
200
200
0
0
0
-2.483257
2.483257
1.754
1.754633
6.690559
6.43885
6.863996
-2.483257
2.483257
0.012905
3.078737
5.175832
6.188399
0.224016
0.274549
-2.486367
8
train
H1
H14
200
200
0
0
0
-1.73162
1.73162
2.257361
2.276357
5.444904
5.399732
5.467847
-1.73162
2.257361
0.064964
5.1818
4.03504
3.004545
5.087247
5.072215
-1.733788
8
train
H0
H14
300
300
0
0
0
0.632098
-0.632098
0.045395
0.045357
1.995603
2.094567
1.848492
0.045357
0.632098
0.396831
0.002057
0.169668
0.399445
0.521456
0.469141
0.632626
8
train
H1
H14
300
300
0
0
0
0.483258
-0.483258
0.901716
0.905411
7.270257
6.809558
7.640752
0.483258
0.901716
0.02192
0.819769
0.003615
0.233567
4.347878
4.250195
0.483662
8
train
H0
H14
500
500
0
0
0
0.560369
-0.560369
-0.451401
-0.45064
0.211796
1.374493
0.318963
0.560369
0.560369
0.575037
0.203077
0.221974
0.313908
0.040904
0.032034
0.560649
8
train
H1
H14
500
500
0
0
0
1.551689
-1.551689
-0.24198
-0.242555
7.452729
8.678121
7.469707
1.551689
1.551689
0.023877
0.058833
1.245897
2.408738
1.254044
1.294334
1.552466
8
train
H0
H14
1,000
1,000
0
0
0
2.668128
-2.668128
-1.874674
-1.875102
7.45672
7.088752
7.900975
2.668128
2.668128
0.007612
3.516006
5.891305
7.124948
0.368734
0.399671
2.668796
8
train
H1
H14
1,000
1,000
0
0
0
0.756514
-0.756514
1.471686
1.480174
17.487308
20.991815
19.605354
1.480174
1.471686
0.000055
2.190916
0.01423
0.572519
11.049785
11.213033
0.756704
8
train
H0
H14
20
20
10
5
40
2.444138
-2.398152
-2.795827
-2.943254
9.748494
11.152186
9.889715
-2.943254
2.795827
0.00712
8.662744
7.386077
5.832346
8.965403
9.343003
2.495913
8
train
H1
H14
20
20
10
5
15
-0.67122
0.684029
0.483432
0.474428
0.452663
1.498984
0.55582
-0.67122
0.684029
0.488313
0.225082
0.344506
0.467464
0.01978
0.007195
-0.692994
8
train
H0
H14
30
30
10
6.666667
13.333333
-0.35821
0.364859
0.419563
0.416044
0.173482
0.231037
0.174278
-0.35821
0.419563
0.719115
0.173092
0.187448
0.133372
0.134494
0.120421
-0.359642
8
train
H1
H14
30
30
10
10
10
0.43941
-0.429541
-0.415291
-0.40746
0.219988
0.613262
0.192962
-0.40746
0.429541
0.666201
0.166024
0.201598
0.183564
0.033022
0.057509
0.431367
8
train
H0
H14
50
50
10
14
16
0.554276
-0.480528
-0.956357
-0.9601
1.989594
3.743066
1.63913
-0.9601
0.956357
0.290578
0.921792
0.369535
0.230343
1.538143
1.371912
0.494183
8
train
H1
H14
50
50
10
8
4
1.198978
-1.196537
-1.241721
-1.248598
1.604816
1.624243
1.590576
-1.248598
1.241721
0.227944
1.558998
1.592298
1.433242
0.870845
0.879283
1.205671
8
train
H0
H14
75
75
10
13.333333
9.333333
1.860955
-1.905815
-0.985394
-0.983852
5.667901
6.080188
6.072144
1.860955
1.905815
0.048023
0.967964
2.490373
3.658421
0.056048
0.040954
1.90233
8
train
H1
H14
75
75
10
5.333333
12
-0.378286
0.391889
-0.055726
-0.055348
0.706131
1.227189
0.913094
-0.378286
0.391889
0.633467
0.003063
0.037657
0.153386
0.244556
0.25944
-0.390856
8
train
H0
H14
100
100
10
14
10
-0.166228
0.133782
0.324289
0.322725
0.187822
0.204678
0.185951
0.322725
0.324289
0.892255
0.104152
0.039392
0.017865
0.21027
0.202916
-0.135451
8
train
H1
H14
100
100
10
13
12
-0.466968
0.457223
0.73527
0.734097
0.757816
0.729259
0.759099
-0.466968
0.73527
0.644241
0.538898
0.349558
0.208907
0.836463
0.880096
-0.461778
8
train
H0
H14
150
150
10
8.666667
7.333333
0.688611
-0.690109
-0.517038
-0.519221
0.280584
7.565126
0.521855
0.688611
0.690109
0.055908
0.269591
0.266658
0.476303
0.031833
0.015484
0.693259
8
train
H1
H14
150
150
10
10
13.333333
1.889319
-1.92723
-1.279473
-1.282745
4.38042
5.386224
4.472615
1.889319
1.92723
0.050938
1.645435
3.061816
3.724052
0.08359
0.074943
1.952004
8
train
H0
H14
200
200
10
9.5
8.5
0.887937
-0.880946
-0.880113
-0.878967
0.784285
1.091007
0.825937
-0.878967
0.880946
0.374999
0.772584
0.746107
0.775891
0.367829
0.357289
0.887148
8
train
H1
H14
200
200
10
8.5
10.5
0.322696
-0.334456
0.063193
0.063321
0.89302
0.992042
0.74791
0.322696
0.334456
0.688008
0.00401
0.04696
0.111769
0.268467
0.256601
0.340496
8
train
H0
H14
300
300
10
8.666667
7.666667
0.665129
-0.675585
-0.308018
-0.307248
0.718392
0.848622
0.833885
0.665129
0.675585
0.497947
0.094401
0.278926
0.456297
0.035246
0.034221
0.677723
8
train
H1
H14
300
300
10
9
11.666667
1.115793
-1.111692
-0.889544
-0.888622
1.383234
1.78312
1.309722
1.115793
1.111692
0.264158
0.789649
1.134407
1.235513
0.14442
0.174571
1.116617
8
train
H0
H14
500
500
10
11.6
9.8
-1.588162
1.60496
1.202639
1.202298
2.240502
6.033946
2.774575
-1.588162
1.60496
0.106393
1.44552
2.001651
2.576703
0.190637
0.180812
-1.61462
8
train
H1
H14
500
500
10
9.2
9.4
-0.318766
0.317537
0.541951
0.542549
0.603535
3.753156
0.430129
-0.318766
0.541951
0.289382
0.29436
0.137818
0.100804
0.453111
0.41833
-0.319549
8
train
H0
H14
1,000
1,000
10
9.6
9.1
0.128779
-0.160191
0.391013
0.390842
1.271203
1.573419
1.263081
0.128779
0.391013
0.531772
0.152758
0.000866
0.025657
0.775248
0.780248
0.160736
8
train
H1
H14
1,000
1,000
10
10.4
9.6
-3.166824
3.104286
3.802267
3.826876
14.779052
17.108122
14.982653
3.826876
3.802267
0.000558
14.644981
12.487331
9.652457
12.776474
12.893585
-3.125754