iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
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2 values
Hi
stringclasses
27 values
n1
int64
20
1k
n2
int64
20
1k
perc
int64
0
50
real_perc1
float64
0
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real_perc2
float64
0
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float64
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float64
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logrank_test
float64
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CoxMantel_test
float64
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BN_GPH_test
float64
0
109
BN_MCE_test
float64
0
143
BN_SCE_test
float64
0
114
Q_test
float64
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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
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WLg_Prentice_test
float64
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WKM_test
float64
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7,644
train
H0
H25
20
20
50
45
35
0.774924
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1.775882
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7,644
train
H1
H25
20
20
50
60
45
-0.855733
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0.847725
0.828621
0.711653
2.169541
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0.847725
0.362564
0.686612
0.614175
0.710145
0.481837
0.318982
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7,644
train
H0
H25
30
30
50
33.333333
60
2.272402
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5.214176
5.291204
5.225862
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2.239371
0.015222
5.01057
5.207518
4.999142
2.455238
2.526075
2.427044
7,644
train
H1
H25
30
30
50
46.666667
40
-0.941019
0.867607
0.977258
0.972101
0.950736
0.983178
0.948992
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0.345821
0.94498
0.921257
0.756494
0.813968
0.882935
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7,644
train
H0
H25
50
50
50
42
54
0.535221
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1.025248
2.889168
0.930985
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0.738073
0.409031
0.532437
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7,644
train
H1
H25
50
50
50
62
50
-1.355134
1.040745
1.547724
1.559954
2.834535
3.363846
2.871319
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2.433456
1.719625
1.103037
3.355369
3.464992
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7,644
train
H0
H25
75
75
50
53.333333
44
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1.074734
0.619593
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2.225854
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1.074734
0.247065
0.379131
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1.152588
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7,644
train
H1
H25
75
75
50
44
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0.255866
0.022435
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2.057923
7.065069
2.33916
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0.648735
0.069852
0.419389
0.108209
0.000504
1.631756
1.689426
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7,644
train
H0
H25
100
100
50
60
51
-0.448781
0.372848
0.551488
0.550347
0.445333
0.463855
0.440906
0.550347
0.551488
0.689376
0.302881
0.19635
0.138948
0.604499
0.611024
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7,644
train
H1
H25
100
100
50
47
56
1.117078
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4.225886
4.600448
4.303857
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1.504239
0.11626
2.288941
1.244237
0.626603
4.154372
3.987899
0.855766
7,644
train
H0
H25
150
150
50
46.666667
46
-0.221687
0.386715
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1.151715
3.704469
1.369165
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0.386715
0.295195
0.009922
0.019439
0.149661
0.443287
0.46677
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7,644
train
H1
H25
150
150
50
48.666667
53.333333
1.101868
-1.020573
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1.571418
3.073595
1.539533
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1.206751
0.279036
1.455597
1.148988
1.042233
1.224742
1.157391
1.082488
7,644
train
H0
H25
200
200
50
50.5
45.5
-1.796116
1.982741
1.409451
1.405922
4.250895
4.382469
4.331723
1.405922
1.982741
0.035063
1.976618
3.223069
3.936772
0.094147
0.090371
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7,644
train
H1
H25
200
200
50
45
48
-0.1083
0.061839
0.037957
0.037869
0.116825
1.60458
0.056011
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0.061839
0.658352
0.001434
0.008061
0.003821
0.002899
0.000062
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7,644
train
H0
H25
300
300
50
49
46.666667
-0.838582
0.685454
1.012484
1.01173
1.192292
1.142642
1.203879
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1.012484
0.463954
1.023598
0.742205
0.470758
1.251383
1.186469
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7,644
train
H1
H25
300
300
50
50.333333
50.333333
-0.04469
0.136562
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0.021682
2.383967
0.066032
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0.136562
0.496626
0.000638
0.000004
0.018984
0.013556
0.016454
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7,644
train
H0
H25
500
500
50
49.8
46.4
-0.834196
0.837465
0.844296
0.843006
0.711807
1.058006
0.719601
0.843006
0.844296
0.373376
0.710659
0.654371
0.701328
0.452249
0.479702
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7,644
train
H1
H25
500
500
50
47.2
50.4
0.528208
-0.17642
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3.807931
4.685661
4.030206
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1.054427
0.133307
1.110387
0.321522
0.031118
3.235066
3.285103
0.189748
7,644
train
H0
H25
1,000
1,000
50
48.3
49.6
0.598165
-0.77241
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1.335882
2.126781
1.43813
0.598165
0.77241
0.411751
0.074921
0.341099
0.596211
0.17397
0.177324
0.820816
7,644
train
H1
H25
1,000
1,000
50
50
49.5
0.638514
-0.229157
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4.94925
6.136962
5.223909
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1.216802
0.073391
1.486683
0.442851
0.052487
4.25662
4.220828
0.242123
7,644
train
H0
H26
20
20
0
0
0
-0.730352
0.730352
0.085906
0.084943
2.316055
2.744997
2.099894
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0.730352
0.349956
0.007215
0.246432
0.530761
0.390704
0.266999
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7,644
train
H1
H26
20
20
0
0
0
0.02705
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0.311252
5.412554
0.069379
0.02705
0.143254
0.143963
0.020198
0.000708
0.000728
0.057362
0.006933
0.027395
7,644
train
H0
H26
30
30
0
0
0
-1.714993
1.714993
1.608581
1.645181
3.492674
6.571889
3.034196
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1.714993
0.083726
2.70662
3.364759
2.977156
1.013549
1.538818
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7,644
train
H1
H26
30
30
0
0
0
0.960988
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5.341225
5.66697
5.092327
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1.6494
0.078382
2.945649
1.625706
0.923396
4.87441
4.73178
0.969097
7,644
train
H0
H26
50
50
0
0
0
-1.427021
1.427021
1.558278
1.569412
2.498683
2.531427
2.474163
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1.558278
0.151512
2.463054
2.430998
2.045469
1.58928
1.65516
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7,644
train
H1
H26
50
50
0
0
0
0.75832
-0.75832
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3.982004
4.622026
3.684862
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1.442945
0.158432
2.155125
1.074961
0.573895
3.393671
3.240662
0.76214
7,644
train
H0
H26
75
75
0
0
0
0.1184
-0.1184
-0.305455
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0.151805
1.137571
0.185089
0.1184
0.305455
0.768013
0.092385
0.036652
0.013989
0.156985
0.207045
0.118002
7,644
train
H1
H26
75
75
0
0
0
-1.084393
1.084393
-0.109337
-0.111185
8.252231
11.587865
6.625039
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1.084393
0.008937
0.012362
0.526635
1.18197
2.425403
2.187429
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7,644
train
H0
H26
100
100
0
0
0
0.266329
-0.266329
-0.673785
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0.783363
0.753496
0.866303
-0.669738
0.673785
0.648462
0.448548
0.202944
0.070819
0.755073
0.735895
0.266998
7,644
train
H1
H26
100
100
0
0
0
0.987129
-0.987129
-1.310626
-1.324591
2.416657
8.006925
1.908899
0.987129
1.310626
0.045869
1.754541
1.05487
0.974004
1.745777
1.59366
0.989606
7,644
train
H0
H26
150
150
0
0
0
0.326124
-0.326124
-0.090066
-0.089906
0.649308
1.249981
0.26188
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0.326124
0.741043
0.008083
0.124781
0.106347
0.025922
0.014296
0.326668
7,644
train
H1
H26
150
150
0
0
0
-0.394011
0.394011
-0.344173
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3.159866
4.407079
2.203664
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0.394011
0.22073
0.119382
0.049315
0.155255
1.124096
1.019704
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7,644
train
H0
H26
200
200
0
0
0
-1.865686
1.865686
1.198719
1.203142
5.561018
8.31629
4.245587
-1.865686
1.865686
0.039908
1.44755
3.148457
3.48796
0.017664
0.044156
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7,644
train
H1
H26
200
200
0
0
0
-0.217966
0.217966
0.499835
0.498859
0.253404
3.921124
0.439544
0.498859
0.499835
0.270108
0.24886
0.239265
0.047517
0.424247
0.518042
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7,644
train
H0
H26
300
300
0
0
0
-0.694743
0.694743
0.709744
0.709652
0.824505
4.481862
0.528286
-0.694743
0.709744
0.213914
0.503605
0.688406
0.482548
0.287413
0.353732
-0.695323
7,644
train
H1
H26
300
300
0
0
0
0.394708
-0.394708
-1.595924
-1.615523
8.602387
9.595922
7.244163
0.394708
1.595924
0.022333
2.609913
0.603176
0.155768
6.212739
6.122191
0.395038
7,644
train
H0
H26
500
500
0
0
0
-0.650369
0.650369
0.960988
0.96072
1.125886
1.210094
1.060769
-0.650369
0.960988
0.515244
0.922982
0.562281
0.422855
1.061997
1.056305
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7,644
train
H1
H26
500
500
0
0
0
0.690224
-0.690224
-2.130731
-2.166871
15.708696
25.854645
11.360119
0.690224
2.130731
0.00001
4.69533
1.137804
0.476473
10.336036
10.150408
0.690569
7,644
train
H0
H26
1,000
1,000
0
0
0
-1.908362
1.908362
0.726072
0.725931
5.864541
5.817292
7.117848
-1.908362
1.908362
0.028469
0.526976
2.142781
3.643929
0.481463
0.455052
-1.908839
7,644
train
H1
H26
1,000
1,000
0
0
0
0.74575
-0.74575
-1.299915
-1.307208
4.576244
26.095577
2.359016
-1.307208
1.299915
0.000009
1.708793
0.53052
0.55618
2.36538
2.274868
0.745937
7,644
train
H0
H26
20
20
10
10
5
-0.51943
0.493604
1.38379
1.441613
7.131162
7.963688
6.781627
1.441613
1.38379
0.033681
2.078248
0.838422
0.243061
5.75221
5.516674
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7,644
train
H1
H26
20
20
10
5
5
0.378593
-0.395899
-0.281514
-0.273931
0.098148
1.371661
0.158621
0.378593
0.395899
0.683962
0.075038
0.099305
0.155309
0.000195
0.0097
0.407062
7,644
train
H0
H26
30
30
10
13.333333
16.666667
0.736274
-0.766041
0.016958
0.016873
3.047031
3.13246
3.26225
0.736274
0.766041
0.195709
0.000285
0.197796
0.586954
0.816205
0.74068
0.787564
7,644
train
H1
H26
30
30
10
3.333333
16.666667
0.888884
-0.882378
-1.393857
-1.400869
3.301131
7.162643
2.844403
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1.393857
0.066891
1.962434
1.081643
0.774863
2.709236
2.407579
0.911278
7,644
train
H0
H26
50
50
10
10
12
0.109511
-0.091223
-0.47312
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0.849331
1.248142
0.733893
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0.47312
0.692847
0.222522
0.048656
0.008287
0.556243
0.491748
0.094122
7,644
train
H1
H26
50
50
10
6
6
-0.299389
0.289393
0.527437
0.525399
0.279288
6.571776
0.416472
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0.527437
0.086874
0.276045
0.281804
0.083679
0.399416
0.643206
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7,644
train
H0
H26
75
75
10
8
6.666667
0.876998
-0.887412
-0.381728
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2.103502
3.026238
1.551914
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0.887412
0.372254
0.147101
0.618433
0.787271
0.061725
0.0394
0.892259
7,644
train
H1
H26
75
75
10
9.333333
17.333333
0.78573
-0.807401
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0.567603
2.423355
0.630798
0.78573
0.807401
0.410146
0.567452
0.511662
0.650785
0.228541
0.161283
0.823636
7,644
train
H0
H26
100
100
10
14
11
0.449057
-0.473687
-0.363036
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0.130598
2.497156
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0.449057
0.473687
0.475805
0.130565
0.128376
0.224136
0.022193
0.005558
0.480546
7,644
train
H1
H26
100
100
10
6
10
1.197611
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-1.602424
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2.933177
3.450427
2.837375
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1.602424
0.235514
2.576793
1.819167
1.366802
2.533117
2.435099
1.186274
7,644
train
H0
H26
150
150
10
10
10
-1.466023
1.450624
0.94895
0.955026
4.093302
10.0925
2.717074
0.955026
1.450624
0.017796
0.912074
2.074195
2.106422
0.003928
0.023778
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7,644
train
H1
H26
150
150
10
13.333333
8
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1.142256
0.887218
0.885464
1.492632
2.261285
1.352781
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1.142256
0.244542
0.784047
1.184301
1.303448
0.141938
0.200686
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7,644
train
H0
H26
200
200
10
11.5
9.5
0.504966
-0.550589
0.227088
0.22697
2.354193
2.247725
2.355382
0.504966
0.550589
0.307989
0.051515
0.069906
0.303144
0.947756
0.912485
0.561441
7,644
train
H1
H26
200
200
10
11
9
0.72952
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0.983304
2.449649
0.808639
0.72952
0.887548
0.456658
0.790264
0.483837
0.537059
0.67195
0.609229
0.744362
7,644
train
H0
H26
300
300
10
12
10
-0.071812
0.081096
0.426011
0.426033
1.021648
1.619953
0.629744
0.426033
0.426011
0.654874
0.181504
0.012176
0.006574
0.489122
0.453524
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7,644
train
H1
H26
300
300
10
10
13.333333
1.0938
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1.324765
3.365532
1.315504
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1.130856
0.251346
1.277351
1.001477
1.265851
0.747649
0.689065
1.147085
7,644
train
H0
H26
500
500
10
9.8
10.8
0.182269
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0.230979
0.230586
0.438239
0.856221
0.738477
0.230586
0.230979
0.691261
0.05317
0.000013
0.048963
0.404263
0.39953
0.224339
7,644
train
H1
H26
500
500
10
8.6
6.4
-0.283411
0.227715
0.856648
0.855909
1.042586
3.436625
1.694621
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0.856648
0.329075
0.73258
0.381971
0.051872
1.522427
1.627625
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7,644
train
H0
H26
1,000
1,000
10
10.8
9.9
-1.107607
1.063214
1.287853
1.28755
1.733387
4.553315
1.661862
1.28755
1.287853
0.207584
1.657784
1.632223
1.130403
1.301944
1.384274
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7,644
train
H1
H26
1,000
1,000
10
10
9
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0.952
0.742452
0.743066
1.902822
4.710546
1.028038
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0.952
0.194262
0.552147
1.177774
0.906653
0.064289
0.077131
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7,644
train
H0
H26
20
20
20
25
35
-0.428234
0.410713
0.462345
0.468116
0.246629
4.142692
0.219783
0.468116
0.462345
0.246462
0.219133
0.15434
0.168965
0.247763
0.176496
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7,644
train
H1
H26
20
20
20
15
20
0.849967
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0.624244
2.954204
0.801067
0.849967
0.866413
0.361198
0.433818
0.546718
0.748763
0.047894
0.012556
0.913085
7,644
train
H0
H26
30
30
20
23.333333
16.666667
-1.112921
0.991411
1.216083
1.230327
1.601231
6.321202
1.514323
1.230327
1.216083
0.096987
1.513705
1.444998
0.997232
1.026501
1.592138
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7,644
train
H1
H26
30
30
20
23.333333
23.333333
1.246789
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1.524106
1.74329
1.564155
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1.273649
0.180233
1.395954
1.554566
1.602091
0.525128
0.52837
1.340038
7,644
train
H0
H26
50
50
20
20
16
-0.177605
0.072463
0.434934
0.430605
0.229604
3.51395
0.431713
0.430605
0.434934
0.318957
0.185421
0.111675
0.005243
0.436152
0.60951
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7,644
train
H1
H26
50
50
20
14
32
-0.554065
0.46023
0.920683
0.957644
1.786199
2.474476
1.678345
0.957644
0.920683
0.432068
0.917082
0.454154
0.21692
1.857051
1.773664
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7,644
train
H0
H26
75
75
20
20
18.666667
1.510406
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2.298056
2.655396
2.351109
1.510406
1.478796
0.126993
2.161633
2.300123
2.193647
0.979179
0.964579
1.526068
7,644
train
H1
H26
75
75
20
18.666667
20
-0.45408
0.46164
0.143273
0.141995
0.92288
2.250851
0.571148
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0.46164
0.522002
0.020163
0.202922
0.212816
0.069632
0.023684
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7,644
train
H0
H26
100
100
20
15
19
-0.341455
0.330875
0.414968
0.412531
0.179744
0.225725
0.175072
-0.341455
0.414968
0.734875
0.170182
0.130076
0.109374
0.187565
0.173638
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7,644
train
H1
H26
100
100
20
22
19
-1.025454
1.106949
0.039785
0.039665
5.914013
6.147519
5.580954
-1.025454
1.106949
0.061392
0.001573
0.58002
1.223803
1.69033
1.556954
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7,644
train
H0
H26
150
150
20
19.333333
22.666667
0.528241
-0.625608
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0.255919
4.465204
0.687696
0.528241
0.625608
0.215415
0.042833
0.14525
0.391018
0.06173
0.109458
0.646473
7,644
train
H1
H26
150
150
20
22
16
-0.512721
0.474842
0.728499
0.724206
0.562004
1.424629
0.637737
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0.728499
0.626918
0.524474
0.402002
0.225347
0.676482
0.778639
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7,644
train
H0
H26
200
200
20
19
24
0.546617
-0.566595
-0.264254
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0.751665
0.977514
0.561252
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0.566595
0.553128
0.069329
0.261992
0.320877
0.024736
0.018338
0.593079
7,644
train
H1
H26
200
200
20
19
19.5
-0.872865
0.893433
0.278668
0.278193
3.083128
5.353614
2.1366
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0.893433
0.147661
0.077391
0.660335
0.798033
0.30762
0.22931
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7,644
train
H0
H26
300
300
20
20.333333
18
-0.144012
0.070054
0.044839
0.044994
0.46508
7.542911
0.057347
0.044994
0.070054
0.056466
0.002024
0.046405
0.004906
0.00686
0.001051
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7,644
train
H1
H26
300
300
20
18.333333
18.333333
-0.876786
0.838082
0.455622
0.457516
2.678078
10.953445
1.386706
-0.876786
0.838082
0.01198
0.209321
0.840368
0.703186
0.057682
0.034798
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7,644
train
H0
H26
500
500
20
19.2
20
-1.352759
1.330276
1.214879
1.215376
1.93683
2.031476
1.830284
-1.352759
1.330276
0.169897
1.477139
1.873639
1.769715
0.53133
0.522117
-1.372534
7,644
train
H1
H26
500
500
20
21.6
18.4
0.35156
-0.372892
-0.770484
-0.774697
1.975908
4.531415
1.267532
0.35156
0.770484
0.209505
0.600155
0.133649
0.139101
1.237388
1.181462
0.383776
7,644
train
H0
H26
1,000
1,000
20
18.4
21.6
1.210609
-1.181371
-1.075296
-1.073876
1.592908
1.775005
1.465833
-1.073876
1.181371
0.223085
1.153209
1.491039
1.395383
0.373832
0.398054
1.218365
7,644
train
H1
H26
1,000
1,000
20
20.2
16.7
-1.36343
1.225522
1.100943
1.100824
3.640576
10.149382
1.937235
-1.36343
1.225522
0.017338
1.211813
2.330845
1.502455
0.166383
0.169201
-1.264371
7,644
train
H0
H26
20
20
30
30
25
-1.570508
1.540112
1.565208
1.625158
2.6654
2.699118
2.665997
-1.570508
1.565208
0.098765
2.64114
2.651402
2.45821
1.908119
1.964547
-1.650871
7,644
train
H1
H26
20
20
30
50
35
0.114183
-0.09719
-0.318685
-0.317971
0.33634
1.408275
0.407648
-0.317971
0.318685
0.703596
0.101106
0.037101
0.006107
0.1659
0.211468
0.084156
7,644
train
H0
H26
30
30
30
36.666667
30
-0.37492
0.244392
0.614611
0.610083
0.607486
0.918186
0.667154
-0.37492
0.614611
0.716357
0.372202
0.195861
0.059476
0.852559
0.903478
-0.275364
7,644
train
H1
H26
30
30
30
20
16.666667
-0.694117
0.668774
0.80653
0.798587
0.637988
0.895896
0.646116
-0.694117
0.80653
0.489066
0.63774
0.598101
0.447599
0.564017
0.547674
-0.691794
7,644
train
H0
H26
50
50
30
34
16
-0.113411
0.077876
0.551871
0.547519
1.104227
1.154923
1.090228
-0.113411
0.551871
0.579776
0.299778
0.048872
0.006079
0.87186
0.773481
-0.092983
7,644
train
H1
H26
50
50
30
24
44
1.527688
-1.482721
-1.750406
-1.741714
3.181369
5.296144
3.078979
1.527688
1.750406
0.111214
3.033568
2.412716
2.179702
2.32032
2.090294
1.592762
7,644
train
H0
H26
75
75
30
36
30.666667
-0.410384
-0.013066
1.478308
1.50744
11.615932
13.451371
12.378043
-0.410384
1.478308
0.002052
2.272377
0.434724
0.000119
8.235875
8.242665
0.027954
7,644
train
H1
H26
75
75
30
36
46.666667
0.075676
-0.190254
0.00777
0.007809
0.006288
3.392754
0.067922
0.007809
0.190254
0.33494
0.000061
0.001136
0.036188
0.030798
0.079799
0.213328
7,644
train
H0
H26
100
100
30
25
26
0.567468
-0.480805
-0.766238
-0.764089
0.627971
1.60052
0.694745
0.567468
0.766238
0.615206
0.583832
0.428998
0.229578
0.616894
0.690954
0.502656
7,644
train
H1
H26
100
100
30
24
31
0.621303
-0.717871
-0.524522
-0.521093
0.29116
1.693268
0.400231
-0.521093
0.717871
0.453296
0.271537
0.314831
0.513089
0.044864
0.021639
0.749931
7,644
train
H0
H26
150
150
30
33.333333
36
1.740682
-1.745649
-1.266524
-1.266438
4.208021
4.913845
3.820178
1.740682
1.745649
0.066145
1.603864
2.864911
3.049803
0.075113
0.11996
1.83744
7,644
train
H1
H26
150
150
30
29.333333
34.666667
2.000973
-2.080669
-1.80466
-1.825034
3.939987
3.918068
4.017709
-1.825034
2.080669
0.028138
3.330747
3.96645
4.329623
1.200162
1.225153
2.195352
7,644
train
H0
H26
200
200
30
29.5
31
1.633294
-1.588254
-1.318054
-1.3192
3.542979
5.996213
2.878149
-1.3192
1.588254
0.095158
1.740288
2.756678
2.525128
0.324778
0.435761
1.668796
7,644
train
H1
H26
200
200
30
27.5
28
0.875366
-1.144126
-0.032775
-0.032732
3.225456
5.525106
4.268789
0.875366
1.144126
0.118316
0.001071
0.390536
1.309701
1.109305
1.122691
1.199463
7,644
train
H0
H26
300
300
30
35.333333
33
-0.216728
0.165352
0.691391
0.690676
2.155053
4.218742
1.659642
0.690676
0.691391
0.238792
0.477034
0.072065
0.027323
1.42618
1.277367
-0.176428
7,644
train
H1
H26
300
300
30
30.333333
31.333333
0.02759
-0.190556
-0.134205
-0.134214
0.54263
11.611606
0.076939
-0.134214
0.190556
0.008839
0.018013
0.004101
0.03633
0.079158
0.040432
0.2002
7,644
train
H0
H26
500
500
30
28.8
28.6
0.126831
-0.268688
0.370529
0.370009
1.027538
1.997124
1.415845
0.370009
0.370529
0.492667
0.136907
0.000001
0.072194
0.869948
0.886197
0.280457
7,644
train
H1
H26
500
500
30
28
29
1.130009
-1.466912
-0.433771
-0.433398
1.600789
13.239571
3.43907
-0.433398
1.466912
0.004146
0.187834
0.730035
2.152087
0.317912
0.357395
1.533537
7,644
train
H0
H26
1,000
1,000
30
30.6
29
-1.145864
0.950994
1.722963
1.724399
3.926899
5.013181
4.175955
1.724399
1.722963
0.123938
2.973552
1.667716
0.904467
4.228356
4.287736
-0.99075
7,644
train
H1
H26
1,000
1,000
30
28.3
30.2
1.41563
-1.67292
-1.021967
-1.02177
1.388244
9.62072
2.481615
1.41563
1.67292
0.022081
1.044014
1.402116
2.800819
0.062346
0.048325
1.752682