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int64
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7.65k
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H0_H1
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2 values
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27 values
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20
1k
n2
int64
20
1k
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int64
0
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BN_MCE_test
float64
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BN_SCE_test
float64
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Q_test
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float64
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MIN3_test
float64
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WLg_logrank_test
float64
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WLg_TaroneWare_test
float64
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float64
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WLg_PetoPrentice_test
float64
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WLg_Prentice_test
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WKM_test
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7,644
train
H0
H11
20
20
30
50
30
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7,644
train
H1
H11
20
20
30
20
45
1.16191
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7,644
train
H0
H11
30
30
30
36.666667
50
0.927032
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7,644
train
H1
H11
30
30
30
26.666667
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0.931862
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3.043786
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7,644
train
H0
H11
50
50
30
36
34
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0.562602
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7,644
train
H1
H11
50
50
30
26
20
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7,644
train
H0
H11
75
75
30
22.666667
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1.325756
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7,644
train
H1
H11
75
75
30
29.333333
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1.1479
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1.1479
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7,644
train
H0
H11
100
100
30
30
24
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7,644
train
H1
H11
100
100
30
36
38
0.393602
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7,644
train
H0
H11
150
150
30
30.666667
32.666667
0.277388
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0.119907
0.120003
1.613186
2.246181
1.436482
0.277388
0.387108
0.487609
0.014401
0.052587
0.149766
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7,644
train
H1
H11
150
150
30
26
26
-0.36789
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0.702883
0.702723
1.152056
1.628526
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0.702883
0.585952
0.49382
0.202539
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7,644
train
H0
H11
200
200
30
32
29.5
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3.026736
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0.634499
0.307374
0.000467
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7,644
train
H1
H11
200
200
30
25.5
28
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0.02313
0.288346
0.288888
0.378918
0.794309
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0.083456
0.021691
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0.356854
0.409972
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7,644
train
H0
H11
300
300
30
32.333333
26
-1.614504
1.678924
1.126741
1.127891
3.621734
3.572321
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1.678924
0.087351
1.272138
2.164058
2.820558
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7,644
train
H1
H11
300
300
30
27.333333
30
1.122712
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2.381984
9.724149
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1.238706
0.021063
0.282566
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1.535657
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1.263276
7,644
train
H0
H11
500
500
30
30.2
27.4
-0.147186
0.063003
0.555637
0.555505
1.497015
1.580806
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0.555505
0.555637
0.495503
0.308586
0.053868
0.003968
1.080943
1.095082
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7,644
train
H1
H11
500
500
30
34.2
27.4
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1.32367
2.221393
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7.640142
7.76221
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2.223815
2.221393
0.023965
4.945354
2.806395
1.752025
7.500401
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7,644
train
H0
H11
1,000
1,000
30
33.6
30.3
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1.314877
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2.376958
3.935834
2.573443
1.314385
1.314877
0.268477
1.727607
1.052219
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2.619233
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7,644
train
H1
H11
1,000
1,000
30
29.9
28.7
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2.183946
2.262176
2.266406
5.276523
5.937843
5.19581
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2.262176
0.025799
5.136598
5.456104
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3.111251
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7,644
train
H0
H11
20
20
40
30
30
-0.712268
0.873208
0.131411
0.128894
2.776651
2.744228
2.75992
0.128894
0.873208
0.251589
0.016614
0.369737
0.757166
0.586535
0.434005
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7,644
train
H1
H11
20
20
40
25
35
1.157964
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2.245506
2.281213
2.216365
1.157964
1.320616
0.178593
0.651275
1.346866
1.745573
0.000449
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1.345101
7,644
train
H0
H11
30
30
40
36.666667
50
0.665185
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0.283563
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7,644
train
H1
H11
30
30
40
43.333333
33.333333
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1.03609
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7,644
train
H0
H11
50
50
40
32
44
0.875962
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0.853037
1.327172
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0.410166
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0.778092
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7,644
train
H1
H11
50
50
40
40
32
0.176856
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0.022715
5.995607
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0.147194
0.111824
0.02172
0.003009
0.02039
0.001563
0.020476
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7,644
train
H0
H11
75
75
40
36
44
2.524405
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8.338563
8.536908
8.309596
2.524405
2.703463
0.014563
7.931356
6.908508
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6.771419
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2.443061
7,644
train
H1
H11
75
75
40
37.333333
40
0.153888
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0.200888
0.202441
1.612041
1.665066
1.568739
0.153888
0.280403
0.456407
0.040982
0.011208
0.078512
0.781964
0.736685
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7,644
train
H0
H11
100
100
40
42
41
-0.681721
0.769565
0.543874
0.542582
0.597362
0.665146
0.57987
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0.769565
0.425845
0.294395
0.526132
0.591642
0.046326
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7,644
train
H1
H11
100
100
40
38
39
0.209646
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0.093731
0.093775
1.01018
1.019616
1.057013
0.093775
0.300128
0.589485
0.008794
0.017705
0.090007
0.480326
0.453432
0.30901
7,644
train
H0
H11
150
150
40
42
37.333333
-1.651013
1.797142
1.27829
1.276794
3.334035
4.286435
3.553059
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1.797142
0.064056
1.630204
2.609366
3.233585
0.080277
0.08945
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7,644
train
H1
H11
150
150
40
38
44.666667
0.787764
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1.780597
2.820711
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0.968274
0.319322
0.155006
0.533284
0.937415
0.203484
0.211545
0.995852
7,644
train
H0
H11
200
200
40
44
40.5
-0.962963
0.770949
1.209375
1.208764
1.715002
4.604188
1.871925
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1.209375
0.203183
1.461111
1.016026
0.594392
1.9814
2.152179
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7,644
train
H1
H11
200
200
40
42.5
38
0.018152
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0.809591
0.809949
8.117123
8.622644
8.387304
0.809949
0.809591
0.015091
0.656017
0.024132
0.108441
4.670083
4.631501
0.331359
7,644
train
H0
H11
300
300
40
33
37
2.119316
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4.587382
4.608348
4.5991
2.119316
2.153347
0.027558
3.632343
4.441137
4.642819
1.159539
1.190694
2.203525
7,644
train
H1
H11
300
300
40
43.666667
38
-1.22203
0.99656
1.66458
1.666824
4.209204
5.718164
4.403927
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1.66458
0.110586
2.778303
1.756204
0.993155
4.575224
4.674199
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7,644
train
H0
H11
500
500
40
42.4
38
-1.292799
1.186478
1.502053
1.501546
2.487265
2.492458
2.482855
1.501546
1.502053
0.223079
2.254639
1.784243
1.407617
2.430704
2.40972
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7,644
train
H1
H11
500
500
40
40.2
39.2
0.112955
-0.291052
0.406503
0.406283
2.837419
2.789521
2.987871
0.406283
0.406503
0.224487
0.165066
0.000023
0.084712
1.622548
1.54819
0.298071
7,644
train
H0
H11
1,000
1,000
40
41.2
39.5
-0.696907
0.636184
0.696855
0.696873
0.580935
5.261036
0.497214
0.696873
0.696855
0.153651
0.485632
0.624336
0.404713
0.275741
0.303291
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7,644
train
H1
H11
1,000
1,000
40
37.6
40.1
1.665259
-1.907796
-0.83101
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7.582895
12.119177
8.835377
1.665259
1.907796
0.006986
0.691668
2.029412
3.64157
0.663878
0.683037
1.956567
7,644
train
H0
H11
20
20
50
55
50
0.799966
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0.808747
0.910593
0.820644
0.799966
0.885504
0.336351
0.477586
0.645392
0.761425
0.009864
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0.9614
7,644
train
H1
H11
20
20
50
55
40
-0.942669
0.733699
1.259361
1.246217
2.73307
2.726576
2.760445
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1.259361
0.251523
1.553058
0.924714
0.535843
3.677905
3.71408
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7,644
train
H0
H11
30
30
50
50
56.666667
0.410151
-0.147584
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3.197811
5.094837
3.061865
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0.734379
0.164983
0.552957
0.116974
0.021715
2.130242
1.849931
0.180096
7,644
train
H1
H11
30
30
50
60
50
-0.060198
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0.532351
0.528274
5.041127
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0.528274
0.532351
0.077274
0.279073
0.00002
0.138396
2.610901
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7,644
train
H0
H11
50
50
50
56
46
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0.487759
0.259619
0.259107
0.454965
2.532773
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0.259107
0.487759
0.469397
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0.229762
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7,644
train
H1
H11
50
50
50
46
60
0.426067
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0.668042
1.810592
0.71519
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0.523312
0.571491
0.080141
0.164408
0.274258
0.083193
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7,644
train
H0
H11
75
75
50
54.666667
54.666667
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0.65472
0.6571
0.658561
0.575461
2.29704
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0.658561
0.6571
0.499236
0.433703
0.527202
0.428401
0.180307
0.363963
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7,644
train
H1
H11
75
75
50
52
54.666667
0.57092
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2.388828
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0.773871
0.294234
0.059774
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0.599106
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7,644
train
H0
H11
100
100
50
48
49
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0.079415
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0.006307
0.005741
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0.018173
0.014447
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7,644
train
H1
H11
100
100
50
55
47
-2.085857
2.250544
1.836302
1.842437
5.17852
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2.250544
0.019647
3.394573
4.653301
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7,644
train
H0
H11
150
150
50
44
48
0.943967
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7,644
train
H1
H11
150
150
50
46
56.666667
0.985589
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7,644
train
H0
H11
200
200
50
53.5
51
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5.302673
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1.023843
1.803179
0.061552
1.048255
2.291747
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7,644
train
H1
H11
200
200
50
54.5
47
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1.001127
1.937706
1.941819
6.870205
11.308899
7.284928
1.941819
1.937706
0.010168
3.770661
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7.400833
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7,644
train
H0
H11
300
300
50
48.666667
51
0.736135
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2.573655
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2.23444
2.230432
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7,644
train
H1
H11
300
300
50
48
54
1.404248
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4.405966
7.055048
4.733058
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1.653535
0.070164
0.910395
1.834582
2.736266
0.078957
0.08585
1.720269
7,644
train
H0
H11
500
500
50
51.8
51.6
0.498381
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0.852818
0.977078
0.821161
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0.680061
0.482189
0.092616
0.329203
0.462462
0.05758
0.069866
0.702786
7,644
train
H1
H11
500
500
50
50
52.6
0.728729
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0.331483
0.333685
17.697709
20.39594
18.468916
0.333685
1.455644
0.000098
0.111345
0.511116
2.120166
6.496999
6.440154
1.534086
7,644
train
H0
H11
1,000
1,000
50
48.2
49.7
0.983299
-1.234226
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3.667476
4.200129
3.490063
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1.234226
0.17464
0.293742
1.09386
1.523198
0.269004
0.259483
1.274295
7,644
train
H1
H11
1,000
1,000
50
49.3
52.9
-0.052716
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0.49664
0.498888
2.954619
4.299931
3.240708
0.498888
0.49664
0.197829
0.248889
0.021921
0.042031
1.94412
1.911547
0.219448
7,644
train
H0
H12
20
20
0
0
0
1.704156
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3.772256
11.522695
3.670055
1.704156
1.823485
0.009211
3.658681
3.163087
2.946001
2.883384
2.664199
1.725865
7,644
train
H1
H12
20
20
0
0
0
-1.866456
1.866456
1.703534
1.730719
3.497117
3.516712
3.544541
1.730719
1.866456
0.058727
2.995388
3.437447
3.531244
1.018399
1.131849
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7,644
train
H0
H12
30
30
0
0
0
-1.774131
1.774131
1.199105
1.201187
4.25184
4.726872
3.774268
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1.774131
0.073598
1.442851
2.754743
3.181969
0.004911
0.048975
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7,644
train
H1
H12
30
30
0
0
0
-1.064479
1.064479
0.756851
0.750202
1.321823
1.472786
1.294407
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1.064479
0.283064
0.562803
0.930489
1.133239
0.046686
0.104476
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7,644
train
H0
H12
50
50
0
0
0
2.123297
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5.699747
14.319639
5.551761
2.123297
2.264645
0.002501
5.551735
4.701482
4.551033
4.196197
3.981589
2.133993
7,644
train
H1
H12
50
50
0
0
0
0.441204
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0.82125
2.116728
0.609022
0.441204
0.694113
0.548536
0.479664
0.237094
0.194174
0.575471
0.481257
0.443427
7,644
train
H0
H12
75
75
0
0
0
-0.667174
0.667174
-0.293582
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3.915987
3.916712
3.828506
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0.667174
0.147452
0.086296
0.103264
0.444857
1.598032
1.491278
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7,644
train
H1
H12
75
75
0
0
0
-0.287543
0.287543
0.779811
0.775579
1.131005
1.185816
1.246982
0.775579
0.779811
0.53607
0.601522
0.254352
0.082499
1.241228
1.236685
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7,644
train
H0
H12
100
100
0
0
0
0.293207
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0.180828
0.179666
0.496897
0.45892
0.864095
0.293207
0.293207
0.649178
0.03228
0.001474
0.085971
0.376607
0.363787
0.293942
7,644
train
H1
H12
100
100
0
0
0
-0.56931
0.56931
1.218701
1.227119
3.013323
3.649087
2.675408
-0.56931
1.218701
0.262447
1.505821
0.653216
0.32371
2.67332
2.552868
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7,644
train
H0
H12
150
150
0
0
0
0.332779
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-1.035048
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2.509778
2.664633
2.477041
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1.035048
0.289813
1.075953
0.357835
0.110628
2.200445
2.179044
0.333335
7,644
train
H1
H12
150
150
0
0
0
1.162065
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3.198805
3.264581
3.093998
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1.642656
0.212886
2.73457
1.844623
1.350481
2.937545
2.929572
1.164006
7,644
train
H0
H12
200
200
0
0
0
-0.190288
0.190288
-0.284908
-0.283848
0.813996
0.752815
0.859685
-0.283848
0.284908
0.650612
0.08057
0.000106
0.036184
0.461805
0.432431
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7,644
train
H1
H12
200
200
0
0
0
0.31484
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-0.320588
-0.319485
0.102425
0.184356
0.107675
0.31484
0.320588
0.752584
0.102071
0.081092
0.099043
0.051611
0.064705
0.315234
7,644
train
H0
H12
300
300
0
0
0
0.869959
-0.869959
0.128564
0.128693
2.603634
9.132082
3.993127
0.869959
0.869959
0.027585
0.016562
0.192122
0.756939
1.16607
1.288703
0.870685
7,644
train
H1
H12
300
300
0
0
0
-1.130429
1.130429
1.478152
1.480133
2.194114
4.2833
2.292701
1.480133
1.478152
0.232453
2.190793
1.847533
1.278096
2.079931
2.251749
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7,644
train
H0
H12
500
500
0
0
0
0.782633
-0.782633
-0.395497
-0.395662
1.698509
4.946734
0.942903
-0.395662
0.782633
0.175739
0.156548
0.568445
0.612375
0.009942
0.003361
0.783025
7,644
train
H1
H12
500
500
0
0
0
0.861028
-0.861028
-0.251421
-0.251016
1.388975
1.023213
1.734601
0.861028
0.861028
0.388986
0.063009
0.35792
0.741347
0.184115
0.163524
0.861458
7,644
train
H0
H12
1,000
1,000
0
0
0
-1.048155
1.048155
1.945927
1.949694
5.283832
5.038367
5.496767
1.949694
1.945927
0.064031
3.801306
2.099197
1.0987
5.492563
5.42614
-1.048417
7,644
train
H1
H12
1,000
1,000
0
0
0
0.947018
-0.947018
0.518319
0.519122
7.583148
8.262464
8.237092
0.947018
0.947018
0.016268
0.269488
0.151385
0.896973
3.415256
3.478006
0.947254
7,644
train
H0
H12
20
20
10
10
15
-2.397726
2.437798
1.795826
1.901403
7.384304
8.468185
6.868092
-2.397726
2.437798
0.013819
3.615332
5.623909
6.232596
0.010402
0.134977
-2.461943
7,644
train
H1
H12
20
20
10
0
15
0.713802
-0.717299
-0.898003
-0.897526
0.936021
1.390446
0.873808
0.713802
0.898003
0.458117
0.805554
0.605145
0.514092
0.752644
0.732248
0.74195
7,644
train
H0
H12
30
30
10
20
3.333333
2.210238
-2.241427
-1.375733
-1.442883
7.857539
8.391693
7.236263
-1.442883
2.241427
0.02104
2.081913
4.301993
5.206962
0.04383
0.155179
2.307268
7,644
train
H1
H12
30
30
10
6.666667
13.333333
0.765821
-0.762275
-0.931018
-0.922546
0.991974
3.754303
0.877073
-0.922546
0.931018
0.289246
0.851092
0.591702
0.579643
0.706901
0.561951
0.785656
7,644
train
H0
H12
50
50
10
14
8
-1.325146
1.35038
0.649156
0.648012
3.373549
3.654176
3.546312
-1.325146
1.35038
0.169796
0.419919
1.166025
1.825832
0.161166
0.144565
-1.360353
7,644
train
H1
H12
50
50
10
8
8
-1.099748
1.106677
0.59761
0.596546
2.188344
2.54258
2.002859
-1.099748
1.106677
0.264298
0.355867
0.912617
1.226379
0.025137
0.003957
-1.11629
7,644
train
H0
H12
75
75
10
6.666667
10.666667
0.575924
-0.55116
-1.063514
-1.058791
1.720668
1.714947
1.821303
-1.058791
1.063514
0.402262
1.121038
0.61982
0.303376
1.736318
1.725127
0.557103
7,644
train
H1
H12
75
75
10
5.333333
10.666667
-0.186019
0.127754
1.120307
1.134673
4.820814
4.569835
4.867545
-0.186019
1.120307
0.087705
1.287483
0.296858
0.016341
3.848701
3.688657
-0.128832
7,644
train
H0
H12
100
100
10
8
16
1.79523
-1.811607
-1.288088
-1.280967
3.381361
4.719004
3.802247
1.79523
1.811607
0.067526
1.640877
2.55655
3.287599
0.145591
0.117281
1.828157
7,644
train
H1
H12
100
100
10
13
9
-0.680773
0.666128
0.976214
0.97419
1.232188
1.779512
1.123839
-0.680773
0.976214
0.499842
0.949046
0.598286
0.443584
1.143405
1.059562
-0.674738
7,644
train
H0
H12
150
150
10
8.666667
11.333333
-0.098799
0.101826
-0.071382
-0.071237
0.247685
1.121478
0.133403
-0.071237
0.101826
0.771892
0.005075
0.00552
0.010355
0.049218
0.033894
-0.103741
7,644
train
H1
H12
150
150
10
11.333333
10
-0.56142
0.608737
-0.258535
-0.258838
3.64569
4.15976
3.176073
-0.56142
0.608737
0.204326
0.066997
0.112936
0.370272
1.310882
1.192169
-0.617242
7,644
train
H0
H12
200
200
10
4
9
0.58378
-0.581186
-0.517127
-0.514645
0.371552
0.594407
0.340336
0.58378
0.581186
0.558091
0.264859
0.341822
0.337408
0.079234
0.103932
0.58568
7,644
train
H1
H12
200
200
10
9.5
8.5
0.214401
-0.237989
0.391662
0.391863
1.731179
1.628098
1.724272
0.214401
0.391662
0.422259
0.153556
0.000005
0.056608
0.981047
0.957357
0.240042
7,644
train
H0
H12
300
300
10
10.333333
7.666667
-0.168167
0.130781
0.875908
0.875893
2.50869
2.958266
2.600129
0.875893
0.875908
0.272514
0.767189
0.176614
0.017094
2.086283
2.114626
-0.132247
7,644
train
H1
H12
300
300
10
10.666667
8.666667
-1.835206
1.816112
1.761882
1.762889
3.682475
3.917315
3.457958
-1.835206
1.816112
0.066225
3.107778
3.726273
3.303461
1.381669
1.396503
-1.8369
7,644
train
H0
H12
500
500
10
8.6
9.4
-0.498905
0.504727
0.074393
0.074287
0.976686
0.987228
0.881484
0.074287
0.504727
0.611252
0.005519
0.131491
0.254726
0.176072
0.157091
-0.508288
7,644
train
H1
H12
500
500
10
8.8
9
-0.931949
0.938315
0.629728
0.628837
1.384757
1.696554
1.050962
0.628837
0.938315
0.344443
0.395435
0.86444
0.880332
0.013385
0.014031
-0.945424
7,644
train
H0
H12
1,000
1,000
10
9.7
11.1
1.070133
-1.070823
-0.811652
-0.810983
1.325867
1.348158
1.240373
-0.810983
1.070823
0.280129
0.657693
1.031166
1.146598
0.092366
0.095175
1.080029
7,644
train
H1
H12
1,000
1,000
10
8.8
11.8
-0.599083
0.572433
0.516039
0.516856
1.345465
17.957284
0.360148
0.516856
0.572433
0.000449
0.26714
0.64523
0.327791
0.072209
0.101491
-0.578105