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
84
0
1,996
1
1.39
4
1.2
0
559
1
85
0
1,996
1.89
1.81
8
0.8
0
2,827
1
82
0
1,995
1.6
1.18
5
0.7
0
2,001
1
80
0
1,996
1.16
1.25
4
1.1
0
1,901
1
83
0
1,996
2.05
1.77
8
1
0
4,089
1
80
0
1,996
1.91
2.58
9
1.1
0
4,113
1
88
0
1,996
1
2.22
7
1.3
0
844
1
83
0
1,996
2.37
4.02
10
0.9
0
2,057
1
80
0
1,996
1.31
1.1
4
1
0
4,095
1
89
0
1,996
2.74
3.32
10
1.3
0
2,912
1
86
0
1,996
1.71
1.7
8
0.8
0
2,839
1
85
0
1,996
2.13
2.26
9
1.1
0
1,030
1
86
0
1,996
1.46
1.81
7
1.5
0
1,938
1
83
0
1,996
2.31
2.21
9
1
0
1,212
1
87
0
1,997
1.05
1.49
4
1.1
0
8
1
80
0
1,995
1.71
1.62
7
1.1
0
635
1
83
0
1,998
1.37
1.27
5
0.9
0
3,484
1
83
0
1,998
1.47
1.17
5
1
0
4,163
0
87
0
1,995
2.68
4.1
10
1.2
0
969
1
89
0
1,995
0.92
1.22
3
1
0
692
1
87
0
1,996
1.7
1.68
8
1
0
3,890
1
87
0
1,996
1.35
1.04
4
0.8
0
1,267
1
81
0
1,995
0.4
0.89
1
1
0
2,650
1
89
0
1,997
1.61
1.99
8
0.9
0
2,979
1
83
0
1,996
2.84
2.63
10
1.2
0
2,877
1
82
0
1,996
1.01
1.2
3
1.2
0
1,429
1
83
0
1,996
0.83
0.9
1
1
0
1,953
1
82
0
1,996
0.873
1.68
5
0.9
0
3,408
0
80
0
1,997
1.77
1.18
6
1.2
0
3,714
1
83
0
1,996
0.87
1.39
3
1.5
0
3,750
1
85
0
1,996
1.97
2.51
9
1.1
0
680
1
88
0
1,997
1.04
1.49
4
0.9
0
1,071
1
86
0
2,000
3.04
3.33
10
0.8
0
202
1
85
0
1,996
1.71
2.4
9
0.8
0
1
1
81
0
1,996
1.86
2.38
9
1.4
0
2,642
1
81
0
1,996
2.8
2.17
10
1.2
0
1,706
1
83
0
1,998
2.64
2.61
10
1
0
324
1
88
0
1,996
2.47
2.03
9
1.1
0
1,223
1
87
0
1,995
0.44
0.97
1
0.9
0
3,870
1
88
0
1,996
1.18
1.69
6
0.7
0
2,461
1
83
0
1,996
1.54
1.75
7
1.2
0
356
1
85
0
1,996
1.01
1.39
4
0.8
0
2,620
1
86
0
1,996
1.48
1.5
6
1.2
0
1,908
1
87
0
1,996
0.759
0.304
1
0.6
1
2,171
1
80
0
1,996
1.29
2.05
7
1.2
0
1,615
1
88
0
1,995
1.53
1.73
7
0.9
0
2,422
1
87
0
2,001
1.15
1.33
4
0.9
0
1,563
1
89
0
1,997
2.63
2.34
10
0.9
0
2,468
1
80
0
1,995
2.5
4.01
10
0.9
0
1,574
1
82
0
1,997
2.2
2.15
9
1.2
0
4,421
0
84
0
1,995
1.66
1.33
6
1.1
0
585
0
84
0
1,998
1.49
1.66
7
0.8
0
1,602
0
85
0
1,997
4.04
3.23
10
0.9
0
3
1
80
0
1,995
1.8
2.02
8
1
0
4,995
0
84
0
1,996
1.08
1.26
4
1.2
0
3,785
1
83
0
1,996
1.13
1.39
4
0.9
0
2,886
1
89
0
1,998
2.25
2.55
10
1.1
0
487
1
83
0
1,996
1.41
1.7
7
1
0
2,155
1
81
0
1,996
1.58
2.01
8
1.1
0
3,932
1
84
0
1,996
0.52
1.1
1
0.9
0
4,920
0
87
0
1,996
1.63
2.59
9
1
0
2,624
1
82
0
1,996
1.17
1.05
3
0.9
0
1,661
1
87
0
1,996
1.53
1.76
7
0.8
0
4,816
1
84
0
1,996
1.09
1.13
3
1
0
4,397
1
83
0
1,996
1.85
1.59
8
1.1
0
4,794
0
82
0
1,998
1.34
1.72
6
0.9
0
1,597
1
82
0
1,995
1.73
2.02
8
0.8
0
3,431
1
83
0
1,997
0.894
1.21
3
0.9
0
3,808
1
84
0
1,998
1.54
1.42
6
1
0
4,177
0
81
0
1,996
2.17
2.27
9
1.5
0
2,862
1
81
0
1,999
2.73
2.93
10
1.6
0
657
0
83
0
1,995
2.13
2.03
9
1.3
0
973
1
81
0
1,997
1.43
1.33
5
1
0
4,134
1
85
0
1,995
2.45
2.11
9
1.3
0
2,489
1
84
0
1,996
1.56
1.61
7
1
0
1,413
1
81
0
1,997
1.01
0.614
1
1
0
30
0
82
0
1,996
1.42
2.06
8
0.9
0
3,565
1
85
0
1,997
1.53
1.04
5
1
0
2,920
1
85
0
1,998
2.07
3.21
10
1.1
0
280
1
83
0
1,997
2.13
2.02
9
1.1
0
3,396
0
84
0
1,996
0.915
1.21
3
1
0
397
1
85
0
2,000
4.14
3.26
10
1.2
0
3,052
1
81
0
1,996
1.83
1.88
8
1.2
0
4,633
0
80
0
1,998
0.641
0.965
1
1.3
0
2,905
1
81
0
1,996
1.73
2.12
8
1.4
0
1,183
1
80
0
2,000
1.19
1.52
5
0.9
0
3,112
0
82
0
1,996
1.66
2.17
8
0.9
0
751
1
85
0
2,001
2.25
2
9
1.1
0
508
1
81
0
1,995
1.64
1.57
7
1
0
5,004
0
80
0
1,996
1.18
1.17
4
0.9
0
4,180
1
84
0
1,996
1.27
1.2
4
0.8
0
1,066
1
82
0
1,995
1.86
2.3
9
1
0
4,948
0
80
0
1,996
0.79
1.32
3
0.9
0
2,590
1
82
0
1,996
1.61
1.94
8
0.9
0
4,704
0
83
0
1,995
0.86
1.05
2
1
0
4,990
0
87
0
1,996
1.3
2.03
7
1
0
2,704
1
88
0
1,995
1.49
1.64
7
1.3
0
1,065
1
89
0
1,997
3.31
3.37
10
1.9
0
2,656
1
82
0
1,995
1.34
1.48
6
0.7
0
4,950
0
82
0
1,996
2.27
1.72
9
0.9
0
4,368
1