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
76
1
1,996
0.64
1.25
2
1.1
0
4,732
0
75
1
1,997
1.28
1.42
5
1.2
0
4,543
0
79
1
1,996
1.19
1.84
6
1.4
0
3,288
1
79
1
1,995
1.82
1.7
8
1.3
0
1,614
1
78
1
1,995
3.53
2.24
10
1.3
0
4,956
0
79
1
1,995
0.76
1.18
2
1.2
0
2,346
1
76
1
1,997
1.66
1.17
6
1
0
2,953
1
79
1
1,996
2.85
2.58
10
1.4
0
49
1
75
1
1,996
1.66
2.24
9
1
0
4,652
0
78
1
1,995
0.34
0.67
1
1.2
0
839
1
78
1
1,996
0.54
1.07
1
1.3
0
906
1
75
1
1,995
1.17
1.58
5
1.1
0
3,914
1
76
1
1,997
2.97
2.89
10
1.2
0
4,139
1
79
1
1,997
1.5
1.19
5
1.3
0
4,355
0
75
1
1,995
2.96
3.42
10
1.2
0
3,392
1
78
1
1,996
2.58
1.94
9
1.2
0
2,353
1
76
1
1,996
1.42
1.91
7
1.4
0
4,705
0
77
1
1,996
3.62
7.06
10
0.9
0
41
1
79
1
2,000
1.92
1.62
8
1.3
0
2,627
1
77
1
1,995
2.62
2.38
10
1.7
0
2,293
1
76
1
1,997
1.14
1.24
4
1.3
0
4,380
0
79
1
1,996
2.83
4.58
10
1.3
0
781
1
79
1
1,999
1.86
3.05
10
2.2
0
2,686
1
78
1
1,995
2.41
2.72
10
1
0
2,316
1
78
1
1,995
2.11
1.83
9
1.1
0
3,038
1
78
1
1,997
1.88
1.78
8
1.4
0
2,565
1
77
1
1,996
0.92
1.5
4
1.2
0
3,904
1
77
1
1,996
2.21
2.42
9
1.4
0
4,906
0
77
1
2,000
1.8
2.06
9
1.4
0
529
1
77
1
1,995
1.48
1.21
5
1.1
0
736
1
77
1
1,996
2.66
3.39
10
1.9
0
2,591
1
77
1
1,995
4.03
4.97
10
2.1
0
250
1
75
1
1,996
1.05
1.95
6
1.4
0
350
1
75
1
1,995
1.13
1.78
6
2.1
0
4,124
1
78
1
1,995
2.87
2.29
10
1.2
0
2,044
1
79
1
1,995
1.04
1.47
4
1.2
0
1,191
1
76
1
1,995
2.07
1.88
9
1.3
0
2,078
0
75
1
1,998
1.92
1.66
8
1.3
0
2,897
1
79
1
1,996
2.32
3.13
10
1.7
0
975
1
76
1
1,997
1.11
1.38
4
1.1
0
4,467
0
78
1
1,996
1.42
1.71
7
0.9
0
538
1
78
1
1,996
2.34
1.46
8
1.3
0
2,158
1
79
1
2,001
2.14
1.86
9
1.6
0
99
1
76
1
1,995
1.38
1.99
7
1.1
0
4,136
1
77
1
2,000
4.64
3.66
10
1.8
0
3,294
0
76
1
1,996
2.26
1.83
9
1.1
0
3,685
1
77
1
1,996
2.32
2.19
9
0.7
0
8
1
78
1
1,995
1.92
1.95
9
1.9
0
3,190
1
75
1
1,996
1.46
1.98
8
1.1
0
4,718
1
75
1
1,995
0.9
1.17
2
1.3
0
2,275
1
75
1
1,996
1.99
2.22
9
1.6
0
3,370
1
76
1
1,998
2.04
2.5
9
1.3
0
3,996
0
78
1
1,995
2.29
2.37
9
1.3
0
2,239
1
75
1
1,996
2.08
1.75
8
1.1
0
4,647
0
76
1
1,996
1.87
1.26
7
1.4
0
1,373
1
75
1
1,999
1.51
1.29
5
1.3
0
2,465
1
76
1
1,996
1.66
2.01
8
1.1
0
1,259
1
79
1
1,996
2.13
2.93
10
1.7
0
4,196
1
76
1
1,995
1.28
1.87
7
1.6
0
2,274
1
79
1
1,996
1.26
1.65
6
1.3
0
1,850
1
77
1
1,996
0.88
1.58
4
1.4
0
4,897
0
78
1
1,996
1.39
2.07
8
1.1
0
4,716
0
79
1
1,997
3.14
4.91
10
2.2
0
1,054
1
78
1
1,999
1.9
4.65
10
1.1
0
2,979
1
75
1
1,995
1.83
1.67
8
1.2
0
4,919
1
78
1
1,995
0.95
1.94
6
1
0
1
1
76
1
1,996
1.89
1.64
8
1.5
0
3,783
1
77
1
2,000
1.05
1.61
5
1.1
0
1,785
1
79
1
1,996
1.29
1.48
5
1.4
0
2,819
1
79
1
1,998
1.48
1.9
8
1.7
0
2,997
1
77
1
1,997
1.43
1.35
5
1.1
0
4,268
0
76
1
1,996
1.83
3.31
10
1.2
0
1,967
1
76
1
1,996
4.92
11
10
1.7
0
518
1
75
1
1,997
0.827
1.17
2
1.2
0
4,431
0
75
1
1,996
1.91
1.74
8
1.3
0
4,621
0
78
1
1,996
1.62
1.69
7
1.1
0
3,959
1
77
1
1,995
1.69
2.36
9
1.7
0
2,680
1
75
1
2,001
0.769
0.571
1
1.2
0
2,904
0
75
1
1,996
1.73
1.68
8
1
0
2,925
1
75
1
1,996
1.36
1.58
6
1.4
0
3,078
1
77
1
1,996
7.93
6.29
10
1.2
0
2,380
1
75
1
1,999
2.79
2.92
10
1.4
0
3,563
0
75
1
1,996
2.48
2.3
10
1.1
0
4,626
0
77
1
2,000
1.25
1.9
7
0.7
0
1,108
1
79
1
1,996
1
1.77
5
1.6
0
1,458
1
76
1
1,996
5.41
5.07
10
1
0
1,452
1
79
1
1,996
1.38
1.46
6
1.1
0
1,448
0
76
1
1,996
2.87
2.53
10
1.7
0
1,752
1
75
1
1,999
2.51
2.96
10
1.6
0
1,555
1
77
1
1,996
3.44
4.53
10
1.9
0
71
1
77
1
1,996
1.17
1.79
6
1
0
4,883
0
75
1
1,995
0.84
1.71
4
1.5
0
4,974
0
76
1
1,996
0.928
0.985
2
1.4
0
4,673
0
76
1
1,998
1.64
1.8
8
1.4
0
3,847
0
79
1
1,996
1.31
2.12
8
1.3
0
2,825
1
79
1
1,996
3.93
3.04
10
1.4
0
3,795
1
78
1
1,996
0.76
0.99
1
1
0
243
1
79
1
1,997
11.8
12.6
10
1.7
0
1,095
1
75
1
1,996
2.27
1.73
9
1.4
0
4,912
0
79
1
1,996
1.07
2.12
7
1.4
0
359
1