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
1
1,996
3.01
3.02
10
1.3
0
2,321
1
78
1
1,995
1.37
1.19
5
1.3
0
1,817
1
77
1
1,996
4.24
3.99
10
0.8
0
893
1
76
1
1,996
1.13
1.3
4
0.9
0
527
1
79
1
1,997
1.48
2.91
9
1.4
0
2,426
1
79
1
1,997
2.14
3.18
10
1.2
0
1,847
1
79
1
1,996
2.07
1.49
8
1.2
0
2,549
1
75
1
1,996
4.19
3.36
10
1.4
0
993
1
76
1
1,996
2.2
1.96
9
1.3
0
4,381
1
75
1
1,996
2.53
2.45
10
1.4
0
1,949
1
76
1
1,997
1.34
1.77
7
0.9
0
4,410
0
79
1
1,996
1.04
1.07
3
1.5
0
3,016
1
76
1
1,997
1.59
1.28
6
1.3
0
3,772
1
75
1
1,998
2.1
2.05
9
1.4
0
3,056
1
78
1
1,996
1.61
2.52
9
1.2
0
312
1
76
1
1,997
1.52
1.52
6
0.9
0
2,740
1
79
1
1,998
2.03
1.62
8
1.1
0
319
1
78
1
1,995
1.21
1.61
6
1.1
0
4,581
1
77
1
1,997
1.68
1.52
7
1.1
0
734
1
75
1
1,997
2.12
1.86
9
1.3
0
3,950
1
78
1
1,995
1.83
1.95
8
1.3
0
4,191
1
76
1
1,995
1.33
2.6
9
1.1
0
2,623
1
76
1
1,997
1.29
1.67
6
1
0
2,935
0
79
1
1,996
3.92
4.04
10
1.5
0
110
1
77
1
1,995
2.41
2.84
10
1.3
0
4,970
0
77
1
1,998
2.35
1.99
9
1.5
0
1,201
1
79
1
1,996
2.59
2.05
9
1.2
0
1,225
1
77
1
1,996
4.5
5.67
10
2.3
0
1,212
1
76
1
1,996
1.05
0.87
2
1.1
0
4,297
1
78
1
1,996
1.08
1.61
5
1.1
0
4,802
0
76
1
1,995
1.7
1.61
7
1
0
3,774
1
77
1
1,996
0.92
1.05
2
0.9
0
2,997
0
79
1
1,995
1.2
0.91
3
1.5
0
3,061
1
76
1
1,996
0.982
1.93
6
1.1
0
3,689
0
79
1
1,996
12.7
17.799999
10
7.8
0
82
1
78
1
1,995
1.19
1.75
6
1.1
0
5,002
0
78
1
1,997
0.678
1.11
2
1.4
0
4,331
0
79
1
1,996
1.6
1.94
8
1.2
0
3,291
1
76
1
1,996
1.37
1.34
5
1.3
0
4,597
0
76
1
1,997
0.962
1.21
3
1.2
0
2,919
1
76
1
1,996
2.59
2.87
10
2.4
0
95
1
79
1
1,995
3.66
3.12
10
1.7
0
283
1
78
1
1,996
1.33
1.37
5
1.2
0
4,822
0
76
1
1,996
1.63
1.68
7
1.4
0
3,469
1
75
1
1,998
1.39
1.99
8
1.4
0
2,515
1
79
1
1,997
1.83
1.54
7
1.3
0
4,429
0
79
1
1,995
1.92
2.86
10
1.6
0
4,237
1
78
1
1,996
1.49
2.58
9
1.4
0
1,949
1
77
1
1,997
1.5
1.68
7
1.1
0
4,324
0
75
1
1,996
2.01
1.78
8
1.3
0
3,905
1
76
1
1,996
1.44
1.54
6
1.3
0
4,800
0
76
1
1,996
2.42
2.04
9
1
0
4,049
1
79
1
1,996
5.56
4.65
10
1.2
0
419
1
78
1
1,996
4.95
3.62
10
3
0
551
1
76
1
2,002
2.87
3.04
10
1.6
0
2,505
0
79
1
1,996
0.9
1.4
3
1.6
0
4,843
0
76
1
1,997
1.8
2.8
9
1.5
0
2,677
1
77
1
1,996
1.9
2.04
9
1.2
0
812
1
77
1
1,997
2.82
2.44
10
1.5
0
283
1
75
1
1,996
1.15
0.237
1
1
1
4,611
1
75
1
1,996
2.75
2.79
10
1.4
0
4,648
0
77
1
1,997
1.18
1.24
4
1.2
0
1,215
1
77
1
1,998
1.56
1.84
8
1.4
0
1,945
1
78
1
1,996
2.12
1.46
8
1.1
0
3,600
1
75
1
1,996
0.91
1.25
3
1
0
4,928
0
79
1
1,997
3.56
3.5
10
2.9
0
1,195
1
77
1
1,996
1.38
2.04
8
1.1
0
1,173
1
76
1
1,995
1.69
1.56
7
0.9
0
464
1
76
1
1,996
1.32
2.09
8
1.1
0
4,883
0
78
1
1,997
1.69
2.15
8
1.1
0
4,321
0
75
1
1,995
1.87
2.16
9
1.1
0
2,870
1
78
1
1,996
1.58
2.31
9
1.6
0
481
1
75
1
1,998
1.98
1.61
8
1.6
0
3,724
1
78
1
1,996
2.41
3.69
10
0.9
0
2,004
1
78
1
1,996
3.21
4.04
10
1
0
2,788
1
76
1
1,996
2.1
1.9
9
1.5
0
2,937
1
75
1
1,995
0.62
1.1
1
1.2
0
4,957
0
77
1
1,995
0.97
1.25
3
1.1
0
2,299
1
78
1
1,995
2.81
3.14
10
1.8
0
915
1
79
1
1,995
1.34
1.04
4
1
0
4,940
0
78
1
1,998
2.81
2.51
10
1.2
0
1,258
1
78
0
1,997
2.31
2.29
9
1.3
0
4,341
0
79
0
1,997
1.05
1.23
3
1.1
0
3,774
1
76
0
1,996
1.37
1.72
7
1
0
4,786
1
75
0
1,996
0.64
0.99
1
1
0
2,811
1
77
0
1,996
1.08
1.01
3
1.1
0
4,851
0
76
0
1,996
1.57
2.95
9
0.8
0
1,578
1
75
0
1,996
3.22
3.07
10
1.8
0
4,656
0
76
0
1,996
2.37
2.12
9
1
0
4,395
1
79
0
1,995
0.96
0.78
1
1
0
3,573
1
76
0
1,998
1.03
1.05
2
0.9
0
3,962
0
75
0
1,996
4.11
4.51
10
1.5
0
1,489
1
76
0
1,996
2.27
2.05
9
1.5
0
4,890
0
79
0
1,996
1.36
1.38
5
0.8
0
2,426
1
75
0
1,999
2.52
2.05
9
1.1
0
1,524
1
78
0
1,996
0.341
1.16
1
0.9
0
4,626
0
79
0
1,996
2.02
1.87
9
1.5
0
932
1
79
0
1,995
1.47
2.04
8
1.3
0
4,785
1
75
0
1,996
1.34
2.73
9
1
0
4,872
0
78
0
1,996
1.34
1.76
7
1.1
0
3,109
0