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Table 1 Definition of evaluation criteria

From: Prediction of successful aging using ensemble machine learning algorithms

Performance metrics

Definitions

Precision

TP/(TP + FP)

Specificity /true negative rate (TNR)

TN/(TN + FP)

Sensitivity/true positive rate (TPR) or recall

TP/(TP + FN)

Accuracy

(TP + TN)/(TP + TN + FP + FN)

F-measure

(2 × precision × recall)/(precision + recall)

  1. *True Positive (TP), True Negative (TN), False Positive (FP), False Negative (FN)