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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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stringclasses
27 values
n1
int64
20
1k
n2
int64
20
1k
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int64
0
50
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float64
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CoxMantel_test
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BN_GPH_test
float64
0
109
BN_MCE_test
float64
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143
BN_SCE_test
float64
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Q_test
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MAX_Value_test
float64
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MIN3_test
float64
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WLg_logrank_test
float64
0
84.2
WLg_TaroneWare_test
float64
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WLg_Breslow_test
float64
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WLg_PetoPrentice_test
float64
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WLg_Prentice_test
float64
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WKM_test
float64
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7,643
train
H0
H29
20
20
30
5
45
1.709512
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7,643
train
H1
H29
20
20
30
30
25
0.026793
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7,643
train
H0
H29
30
30
30
23.333333
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0.54177
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7,643
train
H1
H29
30
30
30
23.333333
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7,643
train
H0
H29
50
50
30
34
34
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7,643
train
H1
H29
50
50
30
26
32
2.09389
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7,643
train
H0
H29
75
75
30
34.666667
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7,643
train
H1
H29
75
75
30
32
29.333333
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7,643
train
H0
H29
100
100
30
32
36
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7,643
train
H1
H29
100
100
30
32
35
1.798019
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4.047848
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1.798019
1.995541
0.014458
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7,643
train
H0
H29
150
150
30
30.666667
29.333333
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1.212375
0.862806
0.860812
1.503384
1.608054
1.638192
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1.212375
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0.740996
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7,643
train
H1
H29
150
150
30
34.666667
31.333333
0.977924
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3.982551
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1.13971
0.140943
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7,643
train
H0
H29
200
200
30
31
32
0.128129
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7,643
train
H1
H29
200
200
30
26
30.5
1.92272
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3.755665
3.781707
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2.950156
3.536042
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1.074467
1.952038
7,643
train
H0
H29
300
300
30
27
29.666667
1.190716
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1.798864
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1.259686
0.200919
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7,643
train
H1
H29
300
300
30
25
35
3.423102
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12.369259
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0.000293
7.321279
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12.494506
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3.621768
7,643
train
H0
H29
500
500
30
31
32.8
1.209924
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1.786143
2.003057
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1.24371
0.204831
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7,643
train
H1
H29
500
500
30
34.8
30.8
1.294086
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30.867169
38.263382
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0.769995
1.903571
0
0.592893
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7,643
train
H0
H29
1,000
1,000
30
28.5
30.8
0.065575
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7,643
train
H1
H29
1,000
1,000
30
29.2
28.3
2.368662
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20.630519
38.913998
26.496902
2.368662
2.767483
0
0.289104
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4.498138
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7,643
train
H0
H29
20
20
40
35
45
0.791013
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1.652579
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0.349261
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0.64296
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7,643
train
H1
H29
20
20
40
40
10
0.252533
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7.449774
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0.653929
0.658887
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0.427623
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0.162892
3.17416
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7,643
train
H0
H29
30
30
40
43.333333
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1.234154
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1.779807
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1.301299
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7,643
train
H1
H29
30
30
40
40
60
2.335928
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7,643
train
H0
H29
50
50
40
34
40
-0.405639
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7,643
train
H1
H29
50
50
40
44
40
0.544492
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0.688054
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0.038327
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0.474569
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7,643
train
H0
H29
75
75
40
41.333333
34.666667
1.116494
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8.231205
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1.422827
0.01727
0.050253
0.993982
2.025693
1.376361
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7,643
train
H1
H29
75
75
40
40
28
-0.049215
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0.792029
0.789321
5.009608
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0.792029
0.07467
0.623027
0.047449
0.035623
3.412878
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7,643
train
H0
H29
100
100
40
39
42
0.199871
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0.092361
0.174804
0.084498
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0.194447
0.841815
0.017246
0.033196
0.037759
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7,643
train
H1
H29
100
100
40
34
42
2.061389
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4.900277
6.473491
4.874577
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2.17875
0.041051
4.862849
4.213163
3.899391
3.412622
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7,643
train
H0
H29
150
150
40
40.666667
44.666667
1.068674
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1.160484
1.283523
1.141326
1.068674
1.028974
0.287405
1.028778
1.142451
1.058286
0.371195
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1.063832
7,643
train
H1
H29
150
150
40
43.333333
38.666667
0.486659
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0.241587
0.24092
4.803211
5.005636
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0.24092
0.781225
0.079027
0.058043
0.141421
0.611004
2.041784
1.980361
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7,643
train
H0
H29
200
200
40
37
33
-0.602345
0.531907
0.749454
0.74785
0.67869
0.722655
0.667678
0.74785
0.749454
0.583743
0.559279
0.385213
0.282738
0.739077
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7,643
train
H1
H29
200
200
40
42.5
42
2.203603
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12.398928
16.606427
13.561743
2.203603
2.594775
0.000851
1.561537
4.108509
6.778062
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2.684566
7,643
train
H0
H29
300
300
40
37.666667
40.666667
-0.0724
0.26763
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2.543998
2.542185
2.526593
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0.409077
0.282721
0.166742
0.000634
0.071596
1.312056
1.252239
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7,643
train
H1
H29
300
300
40
40.666667
39.333333
2.055298
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20.9244
23.454557
22.222607
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2.539858
0.000015
0.481864
3.263594
6.482719
2.937097
2.909782
2.614017
7,643
train
H0
H29
500
500
40
42
37.2
0.023902
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0.311967
0.311806
1.352868
2.431944
1.134409
0.311806
0.311967
0.487716
0.097223
0.000421
0.013536
0.693747
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7,643
train
H1
H29
500
500
40
42
39.2
1.954156
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8.038093
19.401448
9.642451
1.954156
2.284638
0.000226
1.270893
2.931703
5.23178
0.322238
0.356448
2.375782
7,643
train
H0
H29
1,000
1,000
40
41.1
41.2
-0.79822
0.827762
0.625448
0.625252
0.801202
0.955291
0.857347
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0.827762
0.395341
0.390941
0.543275
0.685271
0.030832
0.036027
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7,643
train
H1
H29
1,000
1,000
40
39.2
42.2
4.510098
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33.670102
51.015761
37.553123
4.510098
5.060504
0
9.101482
17.401461
25.703278
0.023891
0.024447
5.236429
7,643
train
H0
H29
20
20
50
60
35
-1.864431
1.823304
1.905462
1.905365
3.630692
3.679135
3.630933
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1.905462
0.059009
3.630417
3.509027
3.333162
3.342216
3.346206
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7,643
train
H1
H29
20
20
50
60
50
-0.013994
0.196384
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1.600749
1.662671
1.601996
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0.233238
0.448881
0.057268
0.000156
0.038708
0.622401
0.621603
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7,643
train
H0
H29
30
30
50
50
43.333333
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0.336834
0.334678
1.815054
3.387493
1.697569
0.334678
0.336834
0.33565
0.112009
0.000082
0.031924
1.039047
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7,643
train
H1
H29
30
30
50
40
43.333333
0.499087
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0.632601
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7,643
train
H0
H29
50
50
50
42
48
0.572593
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2.874092
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7,643
train
H1
H29
50
50
50
66
38
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1.298993
2.587032
2.584262
12.574992
12.484004
12.614903
2.584262
2.587032
0.001823
6.678408
3.433316
1.687026
13.154418
13.016558
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7,643
train
H0
H29
75
75
50
52
56
0.991162
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1.073106
1.625118
1.116673
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1.115526
0.243521
0.764646
1.059809
1.244395
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1.166231
7,643
train
H1
H29
75
75
50
57.333333
50.666667
0.760191
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8.5721
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1.256669
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0.00392
0.663653
1.584001
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7,643
train
H0
H29
100
100
50
50
48
0.795575
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7,643
train
H1
H29
100
100
50
51
52
1.71573
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6.046075
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6.322833
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2.042089
0.031336
1.503572
2.945368
4.187785
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2.152777
7,643
train
H0
H29
150
150
50
49.333333
45.333333
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1.480975
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1.480975
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2.081346
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7,643
train
H1
H29
150
150
50
48
48.666667
1.793708
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17.642361
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2.431764
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7,643
train
H0
H29
200
200
50
51.5
51
0.242384
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0.242384
0.318306
0.742592
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0.083136
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7,643
train
H1
H29
200
200
50
53
49
1.314237
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20.4404
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21.005408
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2.03436
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1.626196
4.152505
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7,643
train
H0
H29
300
300
50
48.333333
51.333333
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0.030904
0.173553
0.173171
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train
H1
H29
300
300
50
51.333333
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1.894889
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7,643
train
H0
H29
500
500
50
48.6
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7,643
train
H1
H29
500
500
50
52.6
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1.707028
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0
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7,643
train
H0
H29
1,000
1,000
50
51.6
46.1
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7,643
train
H1
H29
1,000
1,000
50
51.4
51.2
4.408983
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0
7.584951
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7,644
train
H0
H01
20
20
0
0
0
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7,644
train
H1
H01
20
20
0
0
0
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7,644
train
H0
H01
30
30
0
0
0
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7,644
train
H1
H01
30
30
0
0
0
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7,644
train
H0
H01
50
50
0
0
0
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7,644
train
H1
H01
50
50
0
0
0
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7,644
train
H0
H01
75
75
0
0
0
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1.435331
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7,644
train
H1
H01
75
75
0
0
0
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7,644
train
H0
H01
100
100
0
0
0
0.232122
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1.953475
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7,644
train
H1
H01
100
100
0
0
0
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7,644
train
H0
H01
150
150
0
0
0
1.472215
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7,644
train
H1
H01
150
150
0
0
0
2.901834
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7,644
train
H0
H01
200
200
0
0
0
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7,644
train
H1
H01
200
200
0
0
0
1.580254
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7,644
train
H0
H01
300
300
0
0
0
0.312281
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7,644
train
H1
H01
300
300
0
0
0
1.593905
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1.59515
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1.593905
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7,644
train
H0
H01
500
500
0
0
0
0.769494
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0.184562
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4.004602
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7,644
train
H1
H01
500
500
0
0
0
3.578564
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11.303334
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0.000343
7.835788
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7,644
train
H0
H01
1,000
1,000
0
0
0
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0.771704
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7,644
train
H1
H01
1,000
1,000
0
0
0
3.156235
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9.894369
19.880682
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3.156235
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0.000177
1.937653
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3.157024
7,644
train
H0
H01
20
20
10
10
20
1.183039
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1.888367
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0.224181
1.869685
1.708705
1.395326
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7,644
train
H1
H01
20
20
10
5
0
0.700065
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2.520976
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0.471512
0.651695
0.501746
0.472823
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7,644
train
H0
H01
30
30
10
16.666667
10
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0.455391
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6.107587
15.877999
5.067549
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0.455391
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0.19359
0.021289
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2.964992
2.621048
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7,644
train
H1
H01
30
30
10
10
10
0.074168
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0.014794
0.10233
0.017648
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0.114942
0.958831
0.012868
0.006476
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0.000531
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0.051621
7,644
train
H0
H01
50
50
10
8
6
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0.499847
0.651494
0.646921
0.481251
0.652033
0.445322
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0.651494
0.613559
0.418507
0.292297
0.249207
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7,644
train
H1
H01
50
50
10
6
14
0.675165
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0.540147
0.412562
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0.675165
0.691045
0.485348
0.16013
0.310474
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0.003818
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0.697727
7,644
train
H0
H01
75
75
10
9.333333
10.666667
-0.044033
0.044589
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0.016309
0.739939
0.072747
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0.082472
0.863772
0.006686
0.003278
0.001984
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0.036761
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7,644
train
H1
H01
75
75
10
8
6.666667
0.584622
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0.537293
1.160941
0.499037
0.584622
0.702641
0.563074
0.489895
0.350686
0.333304
0.355866
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7,644
train
H0
H01
100
100
10
12
14
0.707419
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2.238858
5.635999
2.75867
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1.264349
0.130727
1.621874
0.990122
0.407995
2.604923
2.77207
0.650323
7,644
train
H1
H01
100
100
10
7
8
2.141369
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4.182429
5.841681
4.655082
2.141369
2.150441
0.029386
3.279061
4.010586
4.64214
0.935
0.915843
2.178271
7,644
train
H0
H01
150
150
10
13.333333
10.666667
0.920439
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1.347042
3.069908
1.693977
0.920439
0.942031
0.343994
0.189332
0.52693
0.887785
0.064117
0.075689
0.946304
7,644
train
H1
H01
150
150
10
12
6
1.372724
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3.416094
3.848032
3.965801
1.372724
1.395818
0.137669
0.353638
1.125642
1.950474
0.194138
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1.40434
7,644
train
H0
H01
200
200
10
10
12
-0.997927
0.966111
1.336172
1.342702
2.021262
2.052541
2.030397
1.342702
1.336172
0.330788
1.80285
1.314915
0.933628
2.044069
1.994255
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7,644
train
H1
H01
200
200
10
9.5
12
1.437682
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8.265428
12.454259
9.986985
1.437682
1.513529
0.005979
0.00531
0.808896
2.294897
2.178267
2.233463
1.524664
7,644
train
H0
H01
300
300
10
12.333333
13.333333
0.081555
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5.604491
6.052654
5.150498
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1.035922
0.076135
1.085153
0.138187
0.000006
3.67292
3.566831
0.00247
7,644
train
H1
H01
300
300
10
11.333333
8.666667
2.539213
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8.051333
10.971725
9.242235
2.539213
2.584491
0.009306
2.342143
4.801528
6.698417
0.002036
0.000326
2.600589
7,644
train
H0
H01
500
500
10
10.6
9.2
-0.95529
0.96561
0.813417
0.813128
1.214069
1.73851
0.919976
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0.96561
0.331136
0.661177
1.056723
0.932546
0.185497
0.196301
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7,644
train
H1
H01
500
500
10
11.6
10.8
2.782732
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7.357649
12.452362
9.705814
2.782732
2.825811
0.004377
3.505743
5.589429
8.006004
0.145215
0.134014
2.849611
7,644
train
H0
H01
1,000
1,000
10
9.7
10.9
0.464545
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0.61554
0.856078
0.595744
0.464545
0.691764
0.653338
0.478373
0.2781
0.199146
0.569998
0.595221
0.449129
7,644
train
H1
H01
1,000
1,000
10
9.2
10.2
3.859764
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15.102413
16.924834
18.011513
3.859764
3.900582
0.000086
6.952964
11.366447
15.244732
0.410466
0.401718
3.926283