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. Author manuscript; available in PMC: 2024 Feb 16.
Published in final edited form as: Cardiovasc Revasc Med. 2023 May 18;56:18–24. doi: 10.1016/j.carrev.2023.05.013

Table 2.

Classifiers’ predictive performance in the testing set.

Classifier Precision Recall F-Measure ROC area PRC area
LR (40 predictors) 0.775 0.688 0.714 0.692 (0.667–0.717) 0.76 (0.738–0.782)
Naïve Bayes (40 predictors) 0.72 0.701 0.71 0.724 (0.700–0.748) 0.794 (0.774–0.814)
ANN (40 predictors) 0.73 0.662 0.686 0.65 (0.623–0.677) 0.747 (0.725–0.769)
RF (10 predictors) 0.721 0.638 0.668 0.62 (0.592–0.677) 0.732 (0.709–0.769)

ANN; artificial neural network, LR; logistic regression, PRC; precision-recall, RF; random forest, ROC; receiver operator characteristics.