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
86
1
2,000
1.54
1.4
6
0.7
0
510
1
83
1
1,995
1.86
2.46
9
1.2
0
4,840
0
80
1
1,996
1.32
1.57
6
1.4
0
1,505
1
81
1
1,996
5.54
4.1
10
1.6
0
4
1
82
1
1,996
3.02
2.78
10
1
0
1,353
1
83
1
1,996
1.65
2.04
8
1.1
0
3,596
1
84
1
1,997
1.3
1.23
4
1.1
0
4,471
0
83
1
1,997
1.84
1.59
8
1.2
0
2,337
0
89
1
1,996
2.5
2.97
10
1.8
0
863
1
85
1
1,996
2.49
2.07
9
1.8
0
2,335
1
82
1
2,001
3.2
4.03
10
1.2
0
1,330
1
81
1
1,998
1.66
2.13
8
1.2
0
3,293
1
83
1
1,997
1.35
1.16
4
0.9
0
2,830
1
88
1
1,998
4.02
4.78
10
1.7
0
1,717
1
85
1
1,997
3.16
2.5
10
1.3
0
871
1
81
1
1,996
1.86
2.46
9
0.9
0
1,174
1
83
1
1,996
0.67
1.08
1
1.1
0
4,629
1
88
1
1,996
0.93
1.26
3
1.1
0
1,036
1
83
1
1,996
1.52
2.29
8
1.3
0
244
1
82
1
1,996
3.1
2.31
10
1.1
0
1,987
1
80
1
2,000
2.53
1.62
9
1.5
0
3,276
0
87
1
1,995
2.47
2.29
10
1.1
0
1,138
1
82
1
1,996
1.97
1.92
9
1.4
0
4,092
1
81
1
1,996
1.99
2.54
9
1.5
0
2,207
1
87
1
1,996
1.73
1.78
8
1.6
0
2,391
1
82
1
1,996
1.49
2.88
9
1.3
0
2,419
1
86
1
1,998
2.25
2.28
9
1.5
0
2,172
1
83
1
1,996
1.33
1.26
5
1
0
1,295
1
81
1
1,995
2.26
2.61
10
1.7
0
3,178
1
83
1
1,995
3.68
2.64
10
1.3
0
1,393
1
84
1
1,995
0.87
1.64
4
2.5
0
182
1
87
1
1,995
2
2.86
10
1.2
0
1,477
1
83
1
1,996
5.97
6.57
10
1.4
0
2,252
1
81
1
1,996
0.97
1
2
1.8
0
225
1
88
1
1,995
1.18
1.28
4
1
0
494
1
80
1
1,996
1.27
1.59
6
1
0
4,810
0
80
1
1,996
1.54
2.24
8
1.1
0
4,375
0
87
1
1,996
5.35
4.5
10
1.9
0
311
1
89
1
2,000
1.32
1.89
7
1.4
0
1,888
0
80
1
1,997
1.23
0.934
3
1
0
3,459
1
83
1
1,997
1.61
2.25
9
1.7
0
1,438
1
81
1
1,998
2.06
2.07
9
1
0
4,139
0
84
1
1,996
2.46
3.53
10
1.7
0
3,421
1
80
1
1,996
2.09
1.81
9
1.3
0
4,304
1
80
1
1,997
2.26
3.37
10
1
0
1,807
1
84
1
1,999
2.59
2.23
10
1.8
0
541
0
81
1
1,996
2.45
3.21
10
1.6
0
4,046
1
88
1
1,996
6.33
4.75
10
2
0
444
0
88
1
1,996
2.2
3.16
10
1.2
0
252
1
84
1
1,996
6.1
5.22
10
6.3
0
1,349
1
81
1
1,996
5.05
4.03
10
2
0
8
1
80
1
1,995
2.49
2.32
10
1.5
0
3,024
1
84
1
1,996
2.26
2.45
9
1.7
0
4,892
0
85
1
1,995
2.63
2.01
9
1.5
0
770
1
82
1
1,996
2.11
2.41
9
1.7
0
1,637
1
88
1
1,996
1
1.17
3
1.1
0
3,164
1
86
1
1,995
1.14
1.76
6
1.4
0
2,496
0
85
1
1,997
2.05
2.64
9
1.2
0
2,694
1
80
1
1,995
0.46
0.82
1
1.5
0
3,719
1
85
1
1,996
2.5
2.75
10
1.3
0
2,250
1
85
1
1,995
2.28
3.22
10
1.2
0
1,295
1
80
1
1,999
1.57
2.67
9
1.2
0
1,083
1
85
1
1,995
1.94
1.67
8
1.2
0
1,871
1
82
1
1,995
2.37
2.17
9
1.5
0
651
1
84
1
1,998
3.09
3.71
10
1.1
0
3,892
1
80
1
1,996
1.16
2.03
7
0.9
0
1,774
1
87
1
1,999
1.67
1.66
7
1
0
3,823
0
80
1
1,996
2.96
5.18
10
1.6
0
21
1
84
1
1,998
1.58
1.7
7
1.1
0
293
1
82
1
1,995
1.57
1.82
8
0.7
0
4,975
0
88
1
1,996
1.61
3
9
1.2
0
557
1
82
1
1,996
1.62
2.1
8
1
0
1,011
1
83
1
1,999
2.11
2.62
10
1.3
0
152
1
85
1
1,997
4.68
5.19
10
2.3
0
807
1
86
1
1,995
1.42
1.53
6
1.3
0
1,598
1
81
1
1,996
0.91
1.49
4
1
0
1,283
1
84
1
1,996
2.9
2.69
10
1
0
2,210
1
80
1
1,998
2.11
2.56
9
1.2
0
2,818
1
82
1
1,995
2
1.7
8
1.3
0
258
1
83
1
1,999
2.61
2.52
10
1.4
0
718
1
86
1
1,996
1.26
2.79
9
2.3
0
871
1
84
1
1,997
1.11
1.38
4
1
0
2,558
1
81
1
1,997
1.57
1.53
7
1.3
0
4,309
0
80
1
1,996
0.963
1.31
3
1.4
0
2,208
1
84
1
1,997
0.751
1.62
4
1.1
0
514
1
88
1
1,995
1.86
1.78
8
1.3
0
1,345
1
85
1
1,996
1.94
2.1
9
1.8
0
2,461
1
82
1
1,996
1.86
3.31
10
1.2
0
4,155
1
82
1
1,996
1.77
2.3
9
0.9
0
206
1
82
1
1,996
3.66
2.54
10
1.6
0
73
1
82
1
1,996
0.89
1.6
4
0.9
0
1,566
1
84
0
1,997
4.91
7.63
10
0.4
0
88
1
82
0
1,996
1.41
1.37
5
1.1
0
4,016
0
86
0
1,996
1.66
1.33
6
1.2
0
4,624
0
86
0
1,997
2.28
1.89
9
1
0
1,481
1
82
0
1,996
2.26
2.4
9
1.1
0
4,541
1
84
0
1,999
3.31
2.62
10
1
0
908
1
87
0
1,996
2.03
1.76
8
0.9
0
2,464
1
88
0
1,997
2.87
4.76
10
2
0
310
1
83
0
1,995
1.33
1.8
7
1.2
0
1,176
1