Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Viewer Files Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
stringclasses
2 values
Hi
stringclasses
27 values
n1
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20
1k
n2
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BN_GPH_test
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BN_MCE_test
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BN_SCE_test
float64
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Q_test
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MAX_Value_test
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MIN3_test
float64
0
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WLg_logrank_test
float64
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84.2
WLg_TaroneWare_test
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99.4
WLg_Breslow_test
float64
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WLg_PetoPrentice_test
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0
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WLg_Prentice_test
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WKM_test
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train
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train
H0
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train
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train
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train
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train
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train
H0
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train
H0
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train
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train
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
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train
H1
H29
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train
H0
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20
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train
H1
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train
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train
H1
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train
H0
H29
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train
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train
H0
H29
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train
H1
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train
H0
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train
H1
H29
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train
H0
H29
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train
H1
H29
150
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train
H0
H29
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train
H1
H29
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train
H0
H29
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train
H1
H29
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train
H0
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train
H1
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train
H0
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train
H1
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train
H0
H29
20
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train
H1
H29
20
20
30
35
25
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7,649
train
H0
H29
30
30
30
33.333333
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train
H1
H29
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30
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36.666667
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train
H0
H29
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train
H1
H29
50
50
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train
H0
H29
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train
H1
H29
75
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30
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train
H0
H29
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train
H1
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train
H0
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train
H1
H29
150
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30
30.666667
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train
H0
H29
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7,649
train
H1
H29
200
200
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7,649
train
H0
H29
300
300
30
31.666667
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7,649
train
H1
H29
300
300
30
32.666667
26.333333
1.063306
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15.893239
15.876902
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1.395399
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1.952362
5.745223
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7,649
train
H0
H29
500
500
30
30.2
32.4
1.319745
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3.351972
5.483448
3.872388
1.319745
1.451874
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1.284003
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1.482833
7,649
train
H1
H29
500
500
30
28.4
28.2
2.133533
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16.256317
29.161043
19.876351
2.133533
2.480307
0.000002
0.306358
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6.167117
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7,649
train
H0
H29
1,000
1,000
30
30.5
30.2
0.573145
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0.874015
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7,649
train
H1
H29
1,000
1,000
30
28.3
29.4
3.94655
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26.285009
31.314444
30.444985
3.94655
4.295195
0
5.04955
11.716999
18.499314
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4.40103
7,649
train
H0
H29
20
20
40
40
30
-1.279304
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1.281416
1.301384
1.739805
4.271772
1.711648
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1.281416
0.185793
1.693599
1.829034
1.624423
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7,649
train
H1
H29
20
20
40
30
30
1.659811
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2.79436
4.450547
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1.659811
1.707584
0.072885
2.245246
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1.793553
7,649
train
H0
H29
30
30
40
36.666667
56.666667
1.578509
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2.604851
2.620047
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1.578509
1.604149
0.098256
2.201262
2.465307
2.594501
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1.653367
7,649
train
H1
H29
30
30
40
40
36.666667
0.246258
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3.635679
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0.498576
0.166588
0.113941
0.032706
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1.74461
1.494775
0.502384
7,649
train
H0
H29
50
50
40
44
42
-0.733512
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0.317995
0.316933
2.897455
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0.316933
0.894241
0.175883
0.100447
0.559975
0.797741
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0.391863
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7,649
train
H1
H29
50
50
40
44
42
0.874582
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4.354615
4.511901
4.264508
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1.094817
0.11857
0.117375
0.680798
1.198245
0.568709
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1.125753
7,649
train
H0
H29
75
75
40
38.666667
41.333333
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1.330228
0.499961
0.499075
3.849782
5.287788
4.216839
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0.12143
0.249075
0.99023
1.772654
0.482788
0.494882
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7,649
train
H1
H29
75
75
40
36
29.333333
0.436533
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0.002508
0.0025
1.501908
3.612228
1.809884
0.0025
0.536571
0.306496
0.000006
0.069486
0.288022
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0.5442
7,649
train
H0
H29
100
100
40
46
35
-0.135867
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0.046766
0.047114
0.149242
1.533892
0.089199
0.047114
0.127168
0.67447
0.00222
0.015709
0.016169
0.007656
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7,649
train
H1
H29
100
100
40
47
46
0.625824
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0.062262
0.061958
4.989378
10.7599
5.907508
0.625824
1.019087
0.013098
0.003839
0.280334
1.039998
1.713817
2.030144
1.056773
7,649
train
H0
H29
150
150
40
34
36.666667
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1.125591
0.82798
0.830086
1.101743
3.756591
1.286659
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1.125591
0.248199
0.689044
0.957329
1.269363
0.088348
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7,649
train
H1
H29
150
150
40
41.333333
32.666667
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0.283691
1.696796
1.707655
9.97804
13.690549
10.98114
1.707655
1.696796
0.003358
2.916087
0.891149
0.080584
8.788784
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7,649
train
H0
H29
200
200
40
40
45.5
0.627263
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3.301759
3.293361
3.323432
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1.06483
0.189813
1.135771
0.45394
0.154447
2.769835
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0.404603
7,649
train
H1
H29
200
200
40
41
41.5
1.974171
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4.962172
5.854994
5.172795
1.974171
2.089631
0.03069
2.482694
3.588994
4.383411
0.213551
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2.161071
7,649
train
H0
H29
300
300
40
40.333333
45
1.656097
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3.51004
3.721436
3.444922
1.656097
1.801403
0.06258
1.830301
2.885667
3.245382
0.257815
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1.862166
7,649
train
H1
H29
300
300
40
38
41.333333
3.630093
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24.401619
31.840066
26.034494
3.630093
4.056166
0.000001
5.78545
11.505056
16.586164
0.009564
0.011185
4.184148
7,649
train
H0
H29
500
500
40
43.2
37.2
-1.868288
1.907937
1.734963
1.734305
3.535307
3.575894
3.521013
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1.907937
0.050647
3.007815
3.577388
3.643228
1.152099
1.148967
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7,649
train
H1
H29
500
500
40
41
38.4
2.195096
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16.582435
21.383114
18.235776
2.195096
2.662301
0.000088
0.890471
3.826058
7.105951
1.802983
1.831405
2.757388
7,649
train
H0
H29
1,000
1,000
40
42.9
43
0.007823
0.153097
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0.679132
1.091654
0.740415
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0.256364
0.690591
0.065698
0.000431
0.023435
0.415136
0.4316
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7,649
train
H1
H29
1,000
1,000
40
42.5
38.6
2.137908
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38.697379
61.673019
44.410643
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2.976842
0
0.00938
2.757806
8.885002
10.949774
10.920592
3.081605
7,649
train
H0
H29
20
20
50
40
25
0.049329
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0.121824
0.123344
0.390925
0.603829
0.413536
0.123344
0.121824
0.813208
0.015214
0.000005
0.010114
0.353401
0.361351
0.099219
7,649
train
H1
H29
20
20
50
70
70
-0.103083
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0.285147
0.287595
1.960837
8.842465
2.049718
0.287595
0.428303
0.03146
0.082711
0.005305
0.182815
1.606897
1.678352
0.423879
7,649
train
H0
H29
30
30
50
40
40
0.793858
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0.630898
0.603393
0.633685
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0.742632
0.444806
0.556018
0.527726
0.51574
0.13544
0.187335
0.764103
7,649
train
H1
H29
30
30
50
40
56.666667
1.9664
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7.989454
10.206394
8.261723
1.9664
2.257868
0.016069
2.040885
3.680665
5.130987
0.000176
0.001367
2.330623
7,649
train
H0
H29
50
50
50
28
48
1.882558
-1.804147
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3.935255
4.390555
3.929785
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1.983848
0.061962
3.92639
3.594282
3.248619
2.619766
2.600609
1.866565
7,649
train
H1
H29
50
50
50
48
58
2.409617
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14.645836
14.677162
14.571821
2.409617
2.856616
0.000685
2.842704
6.058866
8.233822
0.003764
0.00005
2.985036
7,649
train
H0
H29
75
75
50
45.333333
46.666667
-0.33746
0.428425
0.121761
0.120583
0.671639
1.155473
0.574972
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0.428425
0.661693
0.01454
0.134658
0.183285
0.063202
0.02683
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7,649
train
H1
H29
75
75
50
48
58.666667
2.182252
-2.223027
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4.858796
5.105167
4.886663
2.182252
2.223027
0.019003
4.291867
4.78595
4.95694
1.565744
1.624831
2.34548
7,649
train
H0
H29
100
100
50
48
49
-0.432405
0.432982
0.459629
0.46195
0.214859
1.141153
0.219223
0.46195
0.459629
0.65354
0.213398
0.233437
0.18737
0.269836
0.284472
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7,649
train
H1
H29
100
100
50
56
48
-0.553706
0.128118
1.103621
1.098424
5.482532
5.463874
5.524972
1.098424
1.103621
0.063135
1.206535
0.277658
0.016388
4.412276
4.196972
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7,649
train
H0
H29
150
150
50
50.666667
47.333333
-0.725464
0.821037
0.472568
0.472093
1.366617
3.278034
1.484726
0.472093
0.821037
0.350712
0.222872
0.419109
0.67404
0.024142
0.029478
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7,649
train
H1
H29
150
150
50
49.333333
48
1.367124
-1.680156
-0.764694
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5.56534
5.663975
5.722796
1.367124
1.680156
0.057189
0.585237
1.811883
2.832339
0.378894
0.337973
1.763137
7,649
train
H0
H29
200
200
50
50
50.5
0.615973
-0.728925
-0.449858
-0.448873
0.718141
0.760739
0.70246
0.615973
0.728925
0.448153
0.201487
0.435873
0.531058
0.00467
0.004963
0.758497
7,649
train
H1
H29
200
200
50
46
49
2.33913
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6.711691
11.70938
7.392769
2.33913
2.613994
0.00587
3.406991
5.177417
6.861058
0.196764
0.178227
2.754949
7,649
train
H0
H29
300
300
50
52.666667
46.666667
-0.561137
0.400905
0.813119
0.812104
1.427825
1.442833
1.456813
0.812104
0.813119
0.482678
0.659514
0.353062
0.160651
1.489616
1.456588
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7,649
train
H1
H29
300
300
50
52.666667
56
2.656031
-3.088273
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11.746524
20.252597
12.542796
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3.088273
0.00015
4.135719
6.869521
9.578099
0.041112
0.037892
3.258164
7,649
train
H0
H29
500
500
50
54.8
50.4
-0.281631
0.495325
0.043796
0.043937
1.120643
1.191307
1.112674
0.043937
0.495325
0.573305
0.00193
0.10186
0.245385
0.271565
0.277859
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7,649
train
H1
H29
500
500
50
50.4
50.6
3.62923
-4.331288
-2.391579
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31.978224
32.749748
32.559521
-2.408333
4.331288
0
5.80007
13.211578
18.867366
0.290715
0.267379
4.547254
7,649
train
H0
H29
1,000
1,000
50
47.7
51.8
1.164088
-1.273014
-0.948716
-0.948818
1.827165
1.937246
1.835222
1.164088
1.273014
0.186323
0.900256
1.414906
1.620338
0.061917
0.053824
1.321535
7,649
train
H1
H29
1,000
1,000
50
50.4
51
4.639675
-5.875157
-2.602228
-2.609806
72.227704
89.605753
76.304475
4.639675
5.875157
0
6.811089
20.951659
34.706493
3.6954
3.688985
6.132066