Datasets:
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
73
0
1,997
3.13
3.11
10
1.4
0
3,238
1
74
0
1,996
1.01
1.98
6
0.8
0
3,565
1
71
0
1,995
1.01
1.33
4
0.9
0
4,990
0
70
0
1,996
1.19
1.43
5
0.9
0
4,926
0
73
0
1,998
1.04
1.37
4
0.9
0
3,918
0
72
0
1,998
1.61
2.65
9
1.1
0
4,100
0
74
0
1,997
2.3
1.87
9
0.8
0
4,177
0
72
0
1,996
2.45
1.83
9
1.3
0
4,660
0
73
0
1,999
3.26
3.06
10
1.2
0
1,361
1
72
0
1,996
0.89
1.62
4
1
0
4,682
0
70
0
1,995
0.43
1.37
2
0.8
0
4,963
0
70
0
1,995
1.13
1.36
4
1
0
4,977
0
73
0
1,996
1.68
1.68
7
1.1
0
777
1
74
0
1,996
0.655
1.14
2
0.7
0
4,480
1
72
0
2,000
1.22
1.28
4
1.3
0
3,336
0
70
0
1,996
1.52
1.24
5
0.9
0
1,260
0
70
0
1,999
1.7
1.72
8
1
0
3,557
0
73
0
1,995
1.4
1.96
7
0.9
0
4,948
0
70
0
1,996
1.19
0.336
1
0.9
1
3,143
1
73
0
1,996
1.26
1.21
4
0.9
0
4,057
0
74
0
1,996
1.69
1.89
8
1
0
4,621
0
74
0
1,996
1.3
1.67
6
1
0
4,858
0
72
0
1,997
1.06
0.928
2
1
0
4,355
0
74
0
1,996
1.76
2.69
9
1
0
4,533
0
72
0
1,996
1.24
1.23
4
1.1
0
4,667
0
72
0
1,996
1.68
1.54
7
0.9
0
414
1
70
0
1,996
1.11
1.67
5
0.8
0
4,921
0
73
0
1,996
1.01
1.33
4
0.9
0
4,919
0
70
0
1,996
1.15
1.45
5
0.8
0
4,913
0
70
0
1,996
1.39
1.95
7
1.1
0
4,824
0
70
0
1,996
1.23
2.46
8
0.8
0
4,656
0
74
0
1,995
0.7
1.32
2
1.1
0
4,947
0
74
0
1,997
1.22
1.5
5
1.2
0
1,041
1
73
0
1,997
1.08
0.977
2
1.3
0
2,413
1
70
0
1,996
0.56
1.09
1
1.1
0
2,944
1
73
0
1,995
0.57
0.89
1
1.1
0
4,995
0
72
0
1,996
1.13
0.57
1
0.8
1
2,021
1
72
0
1,997
1.6
1.49
7
1.3
0
3,849
0
70
0
1,996
1.15
1.4
4
0.9
0
4,646
0
74
0
1,997
0.797
0.994
2
0.9
0
4,249
0
70
0
1,996
1.28
1.11
4
0.8
0
4,266
1
72
0
1,996
0.32
0.56
1
1.1
0
4,858
0
72
0
1,999
2.6
2.88
10
1.7
0
2,084
1
71
0
1,997
1.2
1.07
3
1.1
0
4,215
0
72
0
1,997
0.829
1.03
2
0.9
0
2,408
1
74
0
1,996
1.19
1.18
4
0.9
0
2,080
1
71
0
1,996
2.32
2.49
10
0.9
0
561
1
71
0
1,996
1.32
1.29
5
1.1
0
4,634
0
73
0
1,996
1.46
1.31
5
1.4
0
4,694
0
73
0
1,996
0.85
1.16
2
0.7
0
4,026
1
74
0
1,998
0.882
1.38
3
0.9
0
4,193
0
73
0
1,995
1.4
1.58
6
1
0
1,491
1
71
0
1,996
1.33
1.35
5
1.1
0
4,695
0
73
0
1,996
0.49
0.93
1
1
0
4,865
0
70
0
1,996
0.44
0.99
1
1
0
4,844
0
70
0
1,998
0.896
1.13
2
1.1
0
1,081
1
73
0
1,998
1.6
1.97
8
0.9
0
3,927
0
72
0
1,996
0.91
1.2
3
1.1
0
4,845
0
71
0
1,996
1.62
2.23
8
0.8
0
4,827
0
71
0
1,995
2
2.43
9
1.1
0
3,602
1
71
0
1,996
1.19
1.16
4
0.9
0
187
1
72
0
1,996
1.12
1.41
4
0.9
0
4,922
0
73
0
1,996
1.24
1.76
6
1
0
4,802
0
72
0
1,995
0.77
1.16
2
1.3
0
4,991
0
71
0
1,996
0.829
1.12
2
1
0
733
0
70
0
1,996
1.79
1.54
7
0.9
0
4,656
0
74
0
1,996
0.58
1.35
2
0.8
0
409
1
73
0
1,996
1.12
1.28
4
1
0
3,958
1
70
0
1,996
2.04
2.32
9
0.9
0
4,670
0
70
0
1,996
1.53
1.11
5
1
0
4,859
0
71
0
1,997
0.91
1.49
4
0.7
0
968
0
74
0
2,000
2.59
3.58
10
0.9
0
3,108
0
73
0
1,996
0.769
1.55
3
0.9
0
4,786
0
72
0
1,997
1.66
1.64
7
0.9
0
4,488
0
72
0
1,996
0.24
0.194
1
0.8
0
2,017
1
71
0
1,996
0.6
1.03
1
0.9
0
2,681
1
73
0
1,996
1.29
1.63
6
1
0
4,766
0
70
0
1,995
1.45
1.41
6
1
0
4,933
0
71
0
1,996
1.73
1.45
7
0.9
0
1,438
1
71
0
1,995
1.16
1.44
5
0.8
0
4,914
1
71
0
1,999
1.68
1.57
7
1.3
0
3,583
0
72
0
1,997
1.25
1.42
5
1.3
0
4,396
0
72
0
1,996
0.87
1.01
2
1
0
3,794
0
73
0
2,000
2.68
2.04
10
1
0
3,340
0
74
0
1,996
1.9
2.61
9
0.9
0
4,613
0
70
0
1,996
1.86
2.16
9
1
0
1,634
1
70
0
1,995
1.87
3.05
10
1.3
0
17
1
73
0
1,996
1.5
2.73
9
0.8
0
4,649
0
74
0
1,996
2.78
3.48
10
0.7
0
4,911
0
70
0
1,997
1.35
1.42
5
0.9
0
2,277
1
72
0
1,996
2.01
2.79
10
1.1
0
4,849
0
73
0
1,995
2.17
2.4
9
1
0
4,957
0
71
0
1,997
1.62
0.873
4
0.8
1
4,557
0
72
0
1,996
0.715
1.05
2
0.8
0
4,774
0
71
0
1,997
1.56
2.42
9
0.5
0
7
1
71
0
1,996
2.76
3.27
10
0.9
0
2,385
1
71
0
1,997
2.73
2.02
10
0.9
0
4,499
0
70
0
1,996
1.23
1.28
4
1.1
0
4,674
0
73
0
1,996
0.97
0.89
2
1.1
0
1,082
1
71
0
1,997
0.927
1.44
4
0.9
0
4,509
0