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
72
0
1,998
1.68
1.74
8
1.6
0
2,761
1
70
0
1,998
0.777
1.02
2
0.8
0
4,038
0
71
0
1,996
1.16
1.29
4
0.9
0
4,837
0
70
0
1,995
1.07
1.2
3
1.1
0
5,004
0
74
0
1,996
1.16
1.09
3
1
0
1,863
1
72
0
1,995
1.52
1.75
7
1.2
0
949
1
71
0
1,996
1.47
1.93
8
1.3
0
4,907
0
70
0
1,995
1.26
1.33
5
1
0
1,568
1
71
0
1,996
0.897
1.75
5
1
0
4,662
0
74
0
1,995
1.34
1.96
7
0.9
0
5,003
0
70
0
1,997
1.36
2.38
8
1.3
0
1,824
1
70
0
1,998
1.05
1.21
3
1.2
0
4,033
0
70
0
1,997
1.69
1.6
7
0.9
0
4,505
0
71
0
2,001
1.06
0.957
2
1
0
1,180
0
71
0
1,996
0.796
1.34
3
0.8
0
4,710
0
73
0
1,995
1.31
1.73
6
0.7
0
2,883
1
74
0
1,997
1
1.37
4
0.9
0
4,047
1
74
0
1,997
2.19
2.1
9
1
0
1,110
1
73
0
1,997
1.3
0.898
3
1
0
1,257
1
72
0
1,999
1.01
1.35
4
1
0
3,710
0
70
0
1,995
1.08
1.22
3
1
0
1,596
1
71
0
1,995
1.05
1.88
6
0.9
0
4,964
0
70
0
1,996
1.12
1.31
4
0.9
0
4,647
0
70
0
1,996
1.42
2.56
9
0.8
0
4,859
0
72
0
1,996
0.76
1.37
3
1
0
3,053
1
70
0
1,996
2.25
2.27
9
1
0
4,652
0
70
0
2,001
2.52
3.48
10
1
0
2,778
0
71
0
1,995
1.4
1.51
6
1.1
0
5,002
0
74
0
1,996
1.66
1.59
7
1
0
4,640
0
70
0
1,995
2.52
2.06
9
1.4
0
5,073
0
70
0
1,996
1.1
2.92
9
0.8
0
4,886
0
72
0
1,996
1.15
1.95
7
1.2
0
4,774
0
74
0
1,995
2.36
2.59
10
0.7
0
4,992
0
70
0
1,997
1.18
1.22
4
1.2
0
4,466
0
70
0
1,996
1.74
1.52
7
1
0
4,656
0
72
0
1,996
0.91
1.22
3
0.9
0
4,817
0
72
0
1,996
2.06
2.8
10
1.3
0
4,877
0
70
0
1,998
1.96
2.19
9
1
0
4,050
0
74
0
1,996
1.76
1.75
8
0.9
0
4,638
0
71
0
1,995
1.08
0.79
2
0.8
0
4,950
0
73
0
1,996
0.75
0.54
1
1
0
4,842
0
72
0
1,995
0.69
1.52
3
0.9
0
4,967
0
73
0
1,997
1.23
1.14
4
0.9
0
2,562
1
72
0
1,995
0.86
1.14
2
0.8
0
4,962
0
72
0
1,997
5.71
7.01
10
0.9
0
702
1
73
0
1,999
1.34
1.94
7
0.9
0
2,971
1
70
0
1,995
1.67
1.53
7
0.9
0
1,476
1
74
0
1,995
1.25
1.56
6
0.8
0
4,941
0
72
0
1,996
1.3
1.62
6
1.1
0
4,655
0
71
0
1,997
1.33
1.83
7
0.9
0
4,417
0
72
0
1,995
0.99
1.17
3
0.8
0
3,245
1
72
0
1,996
0.67
0.8
1
0.9
0
4,922
0
74
0
1,996
1.01
2.01
6
1
0
2,244
1
70
0
1,996
1.39
1.68
7
0.9
0
4,879
0
74
0
1,996
1.41
1.26
5
0.8
0
4,642
0
74
0
1,995
1.54
1.96
8
1
0
1,514
1
73
0
1,996
2.21
2.06
9
1.1
0
4,323
1
71
0
1,995
1.62
2.01
8
0.9
0
4,999
0
70
0
1,995
1.97
3.3
10
1.6
0
680
1
73
0
1,995
1.64
1.12
5
0.9
0
4,953
0
72
0
1,996
1.94
2.04
9
0.9
0
4,906
0
73
0
1,999
0.984
1.44
4
0.8
0
3,473
0
70
0
1,996
0.49
0.6
1
0.8
0
3,544
1
71
0
1,996
1.91
1.21
7
0.8
0
4,890
0
73
0
2,000
1.1
1.5
5
1
0
3,367
0
72
0
1,997
0.977
0.666
1
1
0
4,271
0
74
0
1,996
0.38
0.46
1
1
0
4,817
0
74
0
1,996
1.6
1.42
6
1.1
0
4,670
0
70
0
1,997
0.978
1.55
4
0.9
0
1,762
1
74
0
1,996
2.2
2.61
10
0.9
0
4,830
0
73
0
1,997
1.97
1.34
7
1.2
0
4,540
0
74
0
1,998
0.683
1.3
2
0.8
0
2,826
1
70
0
1,996
0.662
1.43
3
0.8
0
4,780
0
71
0
2,001
2.24
2.43
9
1.2
0
2,953
0
73
0
1,996
0.73
1.9
5
0.8
0
4,807
0
71
0
1,997
2.19
2.23
9
0.9
0
4,498
0
74
0
1,998
1.39
1.33
5
0.9
0
4,031
0
72
0
1,998
1.16
1.19
4
1
0
3,989
0
73
0
1,995
1.08
1.46
4
0.9
0
5,003
0
74
0
1,996
1.36
1.69
6
1.2
0
4,621
0
72
0
1,996
2.2
2.11
9
1
0
557
1
72
0
1,996
1.5
1.86
7
1.2
0
4,751
0
74
0
1,996
1.4
1.73
7
1.1
0
3,500
1
73
0
1,996
2.61
4.35
10
1.3
0
3,092
1
70
0
1,995
0.7
0.83
1
1.1
0
5,002
0
74
0
1,996
1.09
1.13
3
1
0
4,669
0
71
0
1,996
0.59
0.97
1
0.9
0
4,795
0
74
0
1,996
0.89
1.37
3
1.1
0
2,306
1
72
0
1,997
1.66
1.14
5
1.1
0
3,254
1
74
0
1,996
1.35
1.44
5
0.9
0
3,774
1
74
0
1,996
0.58
1
1
0.9
0
4,913
0
72
0
1,997
1.38
1.47
6
0.9
0
4,281
0
70
0
1,996
1.75
2.04
8
0.8
0
2,262
1
73
0
1,999
2.13
1.68
8
1.1
0
3,592
0
73
0
1,998
1.08
1.09
3
1.1
0
3,875
0
74
0
1,998
1.21
1.43
5
1.1
0
2,719
1
71
0
1,997
1.23
2.15
8
1
0
4,550
0
73
0
1,998
2.64
2.3
10
1
0
4,023
0
71
0
1,996
0.93
0.95
2
0.8
0
3,211
1
74
0
1,997
2.13
2.5
9
0.8
0
4,498
0