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
53
0
1,996
0.832
1.06
2
1
0
4,792
0
50
0
1,999
2.5
2.45
10
1.1
0
1,921
1
50
0
1,996
1.39
1.2
5
0.6
0
4,760
0
51
0
1,995
0.99
2.12
7
0.9
0
4,983
0
54
0
1,996
0.27
1.13
1
0.8
1
4,872
0
50
0
1,996
0.68
0.63
1
0.6
0
2,215
1
52
0
1,996
0.642
1.18
2
0.8
0
2,214
0
50
0
1,996
1.82
1.59
8
0.6
0
4,634
0
52
0
1,996
1.45
1.85
7
1
0
4,824
0
52
0
1,996
0.62
1.14
2
0.7
0
4,871
0
53
0
1,996
1.88
1.62
8
0.7
0
4,584
0
53
0
1,997
0.85
1.42
3
0.9
0
3,597
0
50
0
1,997
1.98
2.26
9
1
0
4,557
0
53
0
1,997
0.804
0.992
2
1
0
4,400
0
50
0
1,997
0.818
1.09
2
1
0
4,359
0
51
0
1,995
1.3
1.44
5
1.1
0
4,977
0
52
0
1,996
0.311
0.222
1
1
0
4,701
0
50
0
1,997
0.91
2.16
7
0.8
0
4,472
0
50
0
1,998
1.65
1.61
7
0.9
0
2,549
0
51
0
2,000
1.67
2.63
9
0.9
0
3,245
0
51
0
1,995
1.15
1.48
5
0.9
0
4,989
0
53
0
1,995
0.39
0.33
1
0.9
0
4,961
0
52
0
1,997
0.798
1.19
2
0.7
0
4,383
0
51
0
1,999
0.297
1.03
1
0.9
0
3,668
0
54
0
1,995
1.21
1.71
6
0.8
0
4,982
0
53
0
1,997
2.14
2.92
10
0.9
0
4,548
0
52
0
1,996
1.19
1.67
6
0.9
0
4,786
0
53
0
1,997
0.75
1.23
2
0.8
0
4,388
0
51
0
1,996
1.46
2.17
8
0.9
0
4,885
0
51
0
1,998
1.18
1.57
5
0.9
0
3,988
0
51
0
1,997
1.4
1.69
7
1
0
4,200
0
54
0
1,998
0.588
0.97
1
0.9
0
3,843
0
52
0
1,995
0.32
1.08
1
0.6
0
4,974
0
50
0
1,999
0.742
1.29
2
1
0
3,721
0
53
0
1,996
0.68
0.91
1
1
0
4,669
0
52
0
1,996
1.37
1.59
6
1
0
4,642
0
53
0
1,996
2.31
2.11
9
0.9
0
4,632
0
50
0
1,996
3.86
4.25
10
0.9
0
61
0
54
0
1,996
1.03
1.89
6
0.7
0
3,857
0
53
0
1,996
2.17
3.14
10
0.9
0
4,759
0
54
0
1,995
0.33
1.26
1
0.9
0
4,971
0
52
0
1,996
1.05
1.44
4
0.8
0
2,348
1
54
0
1,995
2.01
2.53
9
1.1
0
908
1
54
0
1,999
1.62
2.16
8
1
0
638
1
52
0
1,995
1.09
1.61
5
0.9
0
5,075
0
54
0
1,998
1.59
1.83
8
0.9
0
4,003
0
52
0
1,996
0.8
0.95
1
1
0
4,802
0
51
0
1,996
6.05
5.01
10
3.2
0
983
1
52
0
1,996
0.85
1.9
5
0.9
0
4,915
0
51
0
1,995
0.7
1.38
2
0.8
0
4,991
0
52
0
1,996
1.79
2.19
9
1.1
0
4,619
0
54
0
1,996
1.74
2.08
8
0.9
0
4,897
0
51
0
1,998
1.28
1.54
6
1
0
3,932
0
53
0
1,995
1
1.49
4
1
0
3,555
0
52
0
1,997
1.68
2.38
9
0.8
0
4,353
0
51
0
1,995
1.24
1.15
4
1
0
4,984
0
51
0
1,998
0.943
1.46
4
0.9
0
3,898
0
54
0
1,996
0.92
1.07
2
0.8
0
4,835
0
54
0
1,996
1.52
1.62
7
1
0
4,673
0
52
0
1,999
1.57
1.72
7
1
0
1,478
1
51
0
1,999
2.02
2.07
9
0.9
0
3,787
0
53
0
1,996
1.04
1.8
6
1.3
0
4,739
0
52
0
1,996
1.16
1.04
3
0.7
0
4,928
0
54
0
1,996
0.42
1.1
1
1
0
4,913
0
52
0
1,997
1.03
1.61
5
0.9
0
4,381
0
53
0
1,996
1.45
1.49
6
0.9
0
4,880
0
51
0
1,997
0.669
1.46
3
0.9
0
4,389
0
51
0
1,996
0.924
1.83
5
1
0
4,772
0
54
0
1,997
1.16
1.42
5
0.7
0
4,541
0
52
0
1,997
1.41
2.37
8
0.9
0
4,484
0
50
0
1,996
1.18
1.3
4
0.9
0
4,638
0
50
0
1,996
0.89
1.21
3
0.9
0
4,921
0
52
0
2,000
1.95
1.93
9
1
0
3,241
0
51
0
1,996
0.79
0.61
1
0.9
0
4,835
0
52
0
1,996
1.05
0.7
1
0.7
0
4,879
0
53
0
1,996
0.7
1.15
2
0.8
0
4,842
0
50
0
1,996
1.5
1.07
5
0.9
0
4,687
0
54
0
1,996
1.21
1.25
4
0.7
0
4,568
0
50
0
1,998
1.2
1.27
4
1
0
4,141
0
53
0
1,995
0.94
1.34
3
0.8
0
4,939
0
53
0
1,995
1.11
1.29
4
0.9
0
4,989
0
54
0
1,996
2.44
2.15
9
1
0
4,744
1
52
0
1,996
0.6
0.342
1
0.6
1
4,656
0
50
0
1,996
0.97
1.53
4
0.9
0
4,920
0
53
0
1,996
0.46
0.76
1
1
0
4,691
0
54
0
1,996
0.45
0.51
1
0.9
0
4,631
0
51
0
1,997
1.84
1.45
7
0.8
0
1,718
1
50
0
1,996
0.07
0.8
1
1
1
4,788
0
54
0
1,996
0.817
0.687
1
1
0
4,761
0
52
0
1,995
1.09
0.91
2
0.9
0
4,953
0
53
0
1,997
1.16
0.962
3
1
0
4,558
0
50
0
1,997
1.16
1.22
4
0.9
0
4,324
0
52
0
1,996
0.877
0.946
2
0.9
0
4,635
0
50
0
1,997
1.09
1.37
4
0.8
0
4,396
0
50
0
1,998
1.03
1.28
3
1
0
3,989
0
51
0
1,997
0.263
0.857
1
1
0
4,246
0
54
0
1,996
0.3
0.515
1
0.9
0
1,413
0
52
0
1,999
1.05
1.43
4
0.9
0
3,487
0
53
0
1,997
1.28
1.89
7
0.9
0
4,372
0
54
0
1,996
0.44
1.48
2
1
0
3,305
0