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
0
1,996
1.65
1.57
7
0.9
0
4,653
0
78
0
1,996
1.39
1.47
6
0.9
0
4,752
1
78
0
1,995
1.41
1.23
5
1
0
4,008
1
78
0
1,998
1.91
2.01
9
1.1
0
4,012
0
75
0
1,996
2.05
2.25
9
1.2
0
4,822
0
77
0
1,997
3.65
3.06
10
1.3
0
1,457
1
75
0
1,996
1.77
1.89
8
1
0
2,709
1
79
0
1,997
1.24
2.64
9
0.8
0
2,987
0
78
0
1,998
1.34
1.36
5
0.9
0
3,042
1
76
0
1,996
0.4
0.93
1
1
0
2,944
0
75
0
1,995
1.04
1.99
6
0.9
0
3,650
1
77
0
2,001
1.99
1.99
9
1.2
0
196
1
78
0
1,997
0.747
1.13
2
0.9
0
4,519
0
77
0
1,996
0.39
1.06
1
1.2
0
801
1
75
0
1,996
3.05
2.92
10
1.7
0
4,907
0
79
0
1,995
0.77
0.8
1
0.9
0
4,998
0
76
0
1,995
1.46
1.39
6
1
0
2,971
1
79
0
1,997
1.29
1.22
4
0.8
0
4,437
1
76
0
1,995
1.44
2.37
8
1
0
4,967
0
77
0
1,996
1.07
0.729
2
0.9
0
4,454
1
76
0
1,998
1.12
1.5
5
1
0
3,868
0
78
0
1,995
1.16
1.63
5
0.8
0
20
1
75
0
1,996
1.16
1.33
4
1
0
1,880
1
75
0
1,996
1.54
1.33
6
1
0
4,828
0
77
0
1,996
1.61
1.65
7
0.9
0
3,407
1
79
0
1,996
1.81
2.28
9
1.1
0
4,852
0
76
0
1,995
2.1
2.5
9
1.1
0
4,984
0
76
0
1,996
0.52
1.93
4
0.7
0
2,855
1
75
0
1,995
2.14
2.23
9
1.1
0
2,738
1
79
0
1,995
2.22
2.17
9
1.1
0
5,054
0
78
0
1,996
2.43
2.58
10
0.9
0
2,797
0
76
0
1,996
1.11
1.33
4
1.1
0
4,852
0
79
0
1,995
0.65
1.01
1
0.8
0
1,510
1
77
0
1,996
1.11
1.73
6
0.7
0
4,342
1
77
0
1,996
0.776
0.45
1
0.7
1
4,165
0
78
0
1,996
3.44
4.7
10
1.2
0
240
1
77
0
1,995
0.87
1.34
3
0.9
0
4,372
0
75
0
1,997
2.43
2.11
9
1.1
0
4,561
0
76
0
1,996
1.45
1.97
8
0.9
0
53
0
78
0
1,996
1.34
1.28
5
0.9
0
4,108
0
77
0
1,995
0.79
1.3
3
1.1
0
4,946
0
75
0
1,996
0.59
1.22
2
1.1
0
4,834
0
77
0
1,998
2.89
1.83
10
0.9
0
3,956
0
79
0
1,995
1.77
1.91
8
1.4
0
1,964
1
76
0
1,996
1.67
1.51
7
0.8
0
2,942
1
77
0
1,998
1.66
1.26
6
0.9
0
3,440
1
78
0
1,997
2.21
2.37
9
0.8
0
165
1
79
0
1,997
1.07
1.66
5
1.4
0
845
1
75
0
1,998
0.881
1.11
2
0.8
0
3,434
0
77
0
1,996
1.13
1.02
3
0.8
0
4,641
0
76
0
1,996
1.16
1.09
3
0.9
0
4,789
0
75
0
1,997
0.98
0.844
2
1
0
1,524
1
78
0
1,998
1.87
1.79
8
1.1
0
786
1
76
0
1,999
1.08
1.34
4
1.2
0
3,695
0
77
0
1,996
2.35
2.02
9
1
0
3,277
1
78
0
1,996
1.01
1.08
3
1.1
0
3,305
1
79
0
1,997
0.94
1.43
4
1
0
4,242
1
76
0
1,996
2.82
4.11
10
1.7
0
1,628
1
76
0
2,001
1.5
1.3
5
1.1
0
2,278
1
77
0
1,996
1.89
3.48
10
1.3
0
890
1
76
0
1,995
1.49
1.71
7
1.1
0
4,995
0
78
0
1,996
0.9
1.72
5
1.1
0
2,430
1
75
0
1,996
1.04
1.5
4
0.9
0
896
1
78
0
1,995
0.85
2.35
7
1.2
0
1,735
1
77
0
1,996
1.43
1.63
6
1.1
0
4,174
1
75
0
1,996
0.952
1.58
4
1.2
0
2,599
1
78
0
1,996
0.98
0.72
1
0.8
0
1,647
1
77
0
1,997
1.71
1.97
8
1.9
0
1,853
0
78
0
1,996
1.56
2.66
9
1.3
0
4,920
0
76
0
1,999
1.23
2.3
8
1.3
0
3,681
0
78
0
1,996
1.76
2.26
9
1.1
0
3,816
1
75
0
1,996
0.77
0.58
1
0.9
0
4,821
0
77
0
1,995
2.01
2.16
9
1
0
1,906
1
77
0
1,996
1.29
1.25
4
1
0
4,785
0
77
0
1,996
2.03
3.64
10
0.9
0
1,259
0
77
0
1,998
0.86
1.12
2
0.7
0
3,925
1
78
0
2,000
2.11
1.7
8
0.9
0
59
1
75
0
1,996
0.785
1.05
2
1
0
4,607
0
75
0
1,996
2.1
1.44
8
1
0
1,977
1
79
0
1,996
1.11
1.07
3
0.9
0
4,793
0
76
0
1,996
1.11
2.19
7
1.1
0
2,226
1
76
0
1,996
1.2
1.29
4
1
0
4,306
1
75
0
1,998
1.98
1.22
7
1
0
1,737
1
79
0
1,995
1.08
1.7
5
1.3
0
4,976
0
76
0
1,996
1.12
1.47
5
0.9
0
2,295
1
77
0
1,996
1.46
2.82
9
0.5
0
2,235
0
76
0
1,998
1.19
1.87
6
1
0
3,445
1
77
0
1,996
0.84
1.12
2
0.9
0
2,366
1
76
0
1,995
2.18
2.5
9
0.9
0
4,992
0
78
0
1,995
0.92
1.33
3
0.8
0
4,946
0
79
0
1,995
1.75
1.87
8
1
0
2,120
1
79
0
1,996
0.65
0.88
1
0.9
0
2,400
1
76
0
1,996
1.14
1.6
5
1
0
2,665
1
76
0
1,995
1.61
1.85
8
0.9
0
4,114
1
77
0
1,996
1.34
1.49
6
0.9
0
800
1
79
0
1,996
0.3
0.48
1
1
0
3,945
1
78
0
1,996
2.01
1.87
9
0.9
0
1,035
1
79
0
1,995
9.72
6.15
10
3.1
0
1,663
1
77
0
1,996
1.63
1.87
8
0.9
0
2,725
1
79
0
2,000
5.29
4.62
10
0.7
0
3,298
0