Skip to main content

Table 2 Definitions of evaluation metrics

From: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms

Notation/evaluation index Description/definition
TP True positive. The number of patients who had unplanned readmission and were also predicted to have unplanned readmission by the model
FP False positive. The number of patients who did not have unplanned readmission but were predicted to have unplanned readmission by the model
TN True negative. The number of patients who did not have unplanned readmission and were also not predicted to have unplanned readmission by the model
FN False negative. The number of patients who had unplanned readmission but were not predicted to have unplanned readmission by the model
Precision TP/(TP + FP)
Recall TP/(TP + FN)
F1-score The harmonic mean of precision and recall. The formula is as follows: F1 = 2 / (1 / Precision + 1 / Recall)
AUROC Area under the receiver operating characteristic curve
AUPRC Area under the precision–recall curve