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. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: Math Biosci. 2019 Feb 12;310:24–30. doi: 10.1016/j.mbs.2019.02.001

Table 5:

Evaluation metrics of CKD classifications based on predicted eGFR. Precision, Recall, and F1-score for each class for each year was used to show performance. Additionally, macro- and micro-averaged metrics were used for each year to show overall performance, regardless of the categorization. CKD-1 was left out due to no methods predicting a CKD-1 result for any year for any patients.

Per-class accuracy Macro-averaged metrics Micro-averaged
metrics
Precisio
n
Reca
ll
F1 Macro
precision
Macro
recall
MacroF
1
 Year 1 CKD-
2
0.980 1.000 0.99
0
0.966 0.876 0.917 0.979
CKD-
3
0.983 0.918 0.95
0
CKD-
4
0.901 0.787 0.84
0
CKD-
5
1.000 0.801 0.88
9
 Year 2 CKD-
2
0.978 1.000 0.98
9
0.969 0.882 0.922 0.979
CKD-
3
0.983 0.923 0.95
2
CKD-
4
0.913 0.770 0.83
5
CKD-
5
1.000 0.835 0.91
0
 Year 3 CKD-
2
0.980 1.000 0.99
0
0.964 0.882 0.919 0.980
CKD-
3
0.985 0.933 0.95
9
CKD-
4
0.892 0.814 0.85
1
CKD-
5
1.000 0.782 0.87
8