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pytorch-survival
/
flchain_pycox

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age
float32
50
101
sex
float32
0
1
sample.yr
int64
2k
2k
kappa
float32
0.01
20.5
lambda
float32
0.04
26.6
flc.grp
int64
1
10
creatinine
float32
0.4
10.8
mgus
float32
0
1
event_time
float32
0
5.17k
event_indicator
float32
0
1
52
0
1,995
0.9
1.39
3
0.8
0
4,987
0
54
0
1,997
0.99
1.45
4
0.9
0
4,522
0
50
0
1,999
1.75
1.55
7
1.1
0
3,623
0
54
0
1,996
1.15
1.59
5
0.9
0
4,729
0
51
0
1,996
1.07
1.2
3
1
0
4,809
0
53
0
1,996
0.992
1.07
2
0.9
0
4,661
0
52
0
1,997
0.204
0.459
1
1
0
4,255
0
53
0
1,996
0.504
0.246
1
1
1
4,600
0
51
0
1,995
2.06
1.6
8
1.8
0
4,988
0
53
0
1,998
1.29
1.54
6
0.9
0
4,193
0
54
0
1,996
1.21
0.988
3
1
0
4,649
0
52
0
1,997
0.672
1.22
2
0.8
0
4,304
0
52
0
1,997
1.03
1.32
4
0.8
0
4,535
0
50
0
1,996
1.15
1.55
5
0.8
0
4,603
0
50
0
1,996
1.26
1.66
6
1
0
4,838
0
52
0
1,996
1.2
1.2
4
0.9
0
3,555
0
50
0
1,997
1.09
1.26
4
0.7
0
4,431
0
51
0
1,996
0.5
0.82
1
0.9
0
4,796
0
53
0
1,995
0.97
1.58
4
0.9
0
4,970
0
50
0
1,995
1.06
3.25
9
0.8
0
3,835
0
53
0
1,999
1.53
1.7
7
0.8
0
3,830
0
53
0
1,996
1.14
1.28
4
0.9
0
4,614
0
54
0
1,997
0.953
1.21
3
0.8
0
4,556
0
50
0
1,997
0.295
0.536
1
0.8
0
4,355
0
53
0
1,998
1.52
1.24
5
1
0
803
1
53
0
2,000
1.44
1.42
6
0.9
0
3,281
0
54
0
1,996
1.12
1.37
4
0.9
0
4,711
0
51
0
1,997
1.18
1.48
5
1
0
4,478
0
53
0
1,998
0.994
1.23
3
0.8
0
3,952
0
53
0
1,997
1.11
1.02
3
0.8
0
4,404
0
50
0
1,997
0.849
1.04
2
0.9
0
4,528
0
54
0
1,996
0.699
1.46
3
1
0
4,788
0
51
0
1,997
1.79
1.53
7
0.9
0
211
0
54
0
1,998
1.07
0.939
2
0.8
0
3,645
0
53
0
1,996
0.206
0.047
1
0.6
1
756
1
51
0
1,997
1.4
2.97
9
0.7
0
4,519
0
52
0
1,996
0.989
1.91
6
1
0
4,761
0
50
0
1,998
2.1
1.79
9
1.3
0
3,212
1
50
0
1,997
1.53
0.952
4
0.9
0
845
1
52
0
1,996
0.93
1
2
0.9
0
4,866
0
51
0
1,997
1.11
1.91
6
1.1
0
4,549
0
52
0
1,996
0.754
1.94
5
0.8
0
2,751
0
53
0
1,999
1.01
1.4
4
1
0
3,228
0
50
0
1,996
0.69
0.75
1
1.1
0
3,955
0
50
0
1,995
0.74
0.84
1
0.8
0
4,940
0
52
0
1,996
0.71
1.18
2
1.7
0
4,918
0
51
0
1,995
1.66
2.97
9
0.8
0
4,978
0
51
0
2,001
1.16
0.775
2
1
0
3,078
0
50
0
1,996
1.05
1.39
4
1
0
4,620
0
54
0
1,996
0.724
1.13
2
0.9
0
4,715
0
51
0
1,996
0.63
1.71
4
1
0
4,885
0
51
0
1,997
1.06
1.19
3
0.9
0
4,444
0
50
0
1,998
1.73
1.74
8
1.2
0
4,072
0
52
0
1,996
1.79
1.87
8
1.2
0
4,757
0
50
0
1,996
1.01
1.19
3
0.9
0
4,788
0
51
0
1,998
1.46
1.14
5
1
0
3,914
0
50
0
1,996
1.1
1.15
3
1.1
0
4,766
0
54
0
1,997
0.99
1.13
3
0.8
0
4,226
0
51
0
1,996
0.9
1.16
2
0.9
0
4,908
0
54
0
1,997
0.284
0.451
1
0.9
0
4,306
0
50
0
1,997
1.16
1.39
4
1
0
4,437
0
50
0
1,995
1.1
2
7
0.9
0
4,991
0
54
0
2,003
1.35
1.44
5
1
0
2,287
0
52
0
1,996
0.971
1.22
3
1
0
4,591
0
54
0
1,996
0.998
0.984
2
0.7
0
4,649
0
51
0
1,998
2.7
2.27
10
1.1
0
4,141
0
50
0
1,999
0.884
0.897
2
1.2
0
3,653
0
50
0
1,996
0.67
0.46
1
0.8
0
4,855
0
54
0
2,000
0.966
1.25
3
1.1
0
3,302
0
52
0
1,996
1.09
1.17
3
0.8
0
4,632
0
52
0
1,997
0.375
0.355
1
0.9
0
4,227
0
53
0
1,996
0.94
0.59
1
0.9
0
4,829
0
51
0
1,999
0.89
1.05
2
0.9
0
3,798
0
52
0
1,996
0.89
0.349
1
0.8
1
4,694
0
52
0
1,996
0.95
1.31
3
0.8
0
4,834
0
53
0
1,996
1.2
1.32
4
1
0
4,648
0
51
0
1,995
1.86
1.67
8
1.1
0
4,977
0
52
0
1,997
0.786
0.868
1
0.9
0
4,400
0
53
0
1,997
0.335
0.38
1
1
0
4,082
0
50
0
1,998
0.783
1.07
2
0.8
0
1,451
0
50
0
1,995
1.28
2.19
8
1
0
4,999
0
50
0
1,998
0.665
0.427
1
0.9
0
3,990
0
50
0
1,996
0.52
0.82
1
1
0
4,894
0
53
0
1,998
1.68
1.58
7
1
0
2,411
0
53
0
1,996
0.88
0.61
1
0.9
0
4,898
0
54
0
1,998
1.15
0.427
1
0.9
1
4,095
0
53
0
1,998
1.18
1.29
4
0.9
0
4,038
0
53
0
1,996
1.1
1.19
3
0.7
0
4,913
0
50
0
1,996
0.97
1.29
3
0.9
0
4,837
0
54
0
1,998
0.863
0.95
2
0.9
0
4,066
0
50
0
1,997
0.985
0.853
2
1
0
4,221
0
51
0
1,995
1.45
1.57
6
0.7
0
4,995
0
51
0
1,997
0.324
0.404
1
0.9
0
4,530
0
54
0
1,997
0.734
0.99
1
0.6
0
4,352
0
53
0
1,997
0.799
1.07
2
0.7
0
4,395
0
52
0
1,995
0.87
1.23
3
0.9
0
4,969
0
53
0
1,996
0.821
0.357
1
1
1
4,662
0
51
0
1,997
2.16
1.66
8
1.9
0
4,410
0
50
0
1,997
1.25
1.69
6
1.2
0
3,324
1
50
0
1,998
1.23
1.29
4
0.9
0
4,087
0