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
78
0
1,997
1.02
1.41
4
0.9
0
2,533
1
77
0
1,997
1.05
1.89
6
1.4
0
2,445
1
78
0
2,000
3.22
5.26
10
1.1
0
268
1
75
0
1,997
0.9
1.38
3
0.9
0
4,346
0
77
0
1,996
1.33
1.37
5
0.9
0
4,329
1
78
0
1,997
1.09
1.12
3
0.7
0
3,095
1
79
0
1,996
0.42
1.07
1
0.7
0
988
1
78
0
1,997
1.14
0.972
3
1
0
4,138
1
79
0
1,995
1.4
1.73
7
1.3
0
2,371
1
79
0
1,996
1.17
1.24
4
0.8
0
4,927
0
77
0
1,995
1.26
1.58
6
1
0
4,491
1
75
0
1,996
2.25
1.52
8
0.9
0
4,442
1
78
0
1,996
1.31
1.56
6
0.9
0
1,750
1
78
0
1,996
1.79
2.55
9
1.4
0
2,487
1
75
0
1,996
1.46
1.21
5
0.8
0
4,646
0
76
0
1,996
1.01
1.83
6
1.1
0
3,653
1
79
0
1,997
0.985
1.08
2
0.8
0
4,348
0
78
0
1,997
2.72
5.13
10
1.1
0
1,635
1
79
0
2,001
1.48
1.39
6
0.9
0
344
1
76
0
1,995
1.72
2.51
9
0.9
0
264
1
76
0
1,997
1.53
1.4
6
1.2
0
976
1
76
0
1,996
1.38
1.27
5
0.8
0
4,920
0
79
0
1,996
1.22
1.65
6
1.1
0
2,837
1
78
0
1,996
1.1
1.6
5
1
0
1,711
1
77
0
1,996
0.67
1.23
2
1.1
0
2,602
1
76
0
1,995
0.44
1.59
2
0.7
0
1,562
1
77
0
1,996
1.19
1.63
6
0.7
0
3,095
1
75
0
1,996
1.79
2.83
9
0.9
0
4,739
0
75
0
1,996
1.94
2.28
9
1
0
3,764
1
75
0
1,998
3.66
3.37
10
2
0
4,009
1
76
0
1,995
0.79
1.89
5
1
0
1,118
1
79
0
1,996
1.84
1.5
7
1
0
2,516
1
78
0
1,996
1.33
2.68
9
1
0
1,301
1
79
0
1,998
1.25
1.99
7
1
0
3,907
1
79
0
1,996
0.897
1.18
2
0.7
0
110
1
78
0
1,997
1.55
1.75
7
0.9
0
2,550
1
77
0
1,995
1.62
1.81
8
0.9
0
4,989
0
77
0
1,996
0.89
1.11
2
0.8
0
3,078
1
75
0
1,996
1.15
1.37
4
0.7
0
3,069
1
78
0
1,996
1.79
2.21
9
0.9
0
2,499
1
77
0
1,996
1.36
1.92
7
1.2
0
4,857
0
77
0
1,997
0.92
1.18
3
0.9
0
3,712
1
76
0
1,996
1.94
2.01
9
0.9
0
1,255
1
75
0
1,997
1.5
1.59
7
0.9
0
618
0
79
0
1,996
1.02
1.5
4
1.1
0
2,165
1
75
0
1,996
1.45
1.62
7
0.9
0
4,138
0
79
0
1,995
1.83
2.88
9
1
0
4,983
0
76
0
1,997
2.79
2.16
10
1.3
0
3,433
1
77
0
1,996
1.41
1.76
7
1.2
0
1,149
1
73
0
1,996
0.69
0.89
1
1
0
4,870
0
70
0
1,996
1.28
2.16
8
0.9
0
4,531
1
72
0
1,996
1.34
0.9
3
0.8
0
4,429
1
72
0
1,996
1.44
1.85
7
1
0
4,774
0
73
0
1,996
0.68
0.6
1
1.2
0
4,838
0
73
0
1,996
1.57
2.35
9
1.3
0
4,844
0
74
0
1,996
0.927
1.3
3
0.9
0
4,723
0
70
0
1,996
0.82
0.97
2
0.8
0
527
1
72
0
1,997
0.965
1.17
3
0.7
0
4,549
0
74
0
1,996
1.74
1.69
8
0.9
0
1,292
1
72
0
1,996
0.773
0.957
1
1
0
4,716
0
71
0
1,997
0.887
1.1
2
0.8
0
4,443
0
71
0
1,996
3.56
2.73
10
2.1
0
4,836
0
73
0
1,997
1.17
1.09
3
1.4
0
1,997
1
71
0
1,998
0.83
0.972
2
1.1
0
3,858
0
74
0
1,995
0.47
1.34
2
1
0
5,166
0
73
0
2,000
2.17
3.18
10
2
0
2,631
0
70
0
1,996
1.4
1.09
4
0.9
0
4,683
0
71
0
1,996
1.33
1.76
7
0.9
0
4,718
0
70
0
1,996
1.4
1.55
6
1
0
2,376
1
74
0
1,996
0.877
1.67
4
0.8
0
1,804
1
74
0
1,995
0.5
1.35
2
1.2
0
4,964
0
71
0
1,996
1.28
1.9
7
0.7
0
4,582
0
73
0
1,995
1.77
2.2
9
1.4
0
4,995
0
74
0
1,996
1.3
1.79
7
1.1
0
3,584
0
71
0
1,995
1.08
1.48
5
1
0
5,005
0
71
0
1,997
1.13
1.31
4
0.7
0
4,438
0
73
0
1,997
1.39
1.31
5
0.9
0
2,706
0
73
0
1,996
0.51
0.98
1
1
0
4,865
0
73
0
1,997
1.74
1.42
7
0.9
0
4,515
0
74
0
1,998
1.2
1.29
4
0.8
0
4,022
0
72
0
1,996
1.09
1.25
4
1
0
4,711
0
71
0
1,999
1.56
2.29
8
1.1
0
3,818
0
73
0
1,995
1.36
1.26
5
0.9
0
4,582
1
70
0
1,996
1.03
1.73
5
1
0
4,859
0
70
0
1,997
1.87
1.73
8
1.8
0
4,445
0
72
0
1,998
1.32
1.34
5
0.9
0
4,177
0
74
0
1,996
1.2
1.22
4
1.1
0
4,643
0
70
0
1,997
1.19
1.48
5
0.9
0
4,425
0
71
0
1,995
5.85
9.11
10
2.4
0
2,372
1
73
0
1,996
1.35
1.24
5
1
0
4,648
0
73
0
1,996
2.29
1.95
9
0.9
0
4,897
0
72
0
1,996
1.18
1.51
5
1.2
0
4,775
0
71
0
1,997
1.02
1.58
5
1
0
4,352
0
74
0
1,996
2.58
2.3
10
1.4
0
4,688
0
72
0
1,995
1.28
1.94
7
0.8
0
5,004
0
73
0
1,996
1.26
1.34
5
1
0
4,844
0
70
0
1,997
0.937
1.53
4
1
0
4,331
0
74
0
1,996
1.92
1.34
7
1.1
0
3,802
1
71
0
1,996
1.78
2.45
9
0.8
0
4,843
0
72
0
2,003
2.16
2.46
9
1
0
2,274
0