Table 3.

Performance evaluation metrics.

Accuracy	The ratio is defined as the correct outcomes of all the possible prediction values. Accuracy is the degree to which measures are within a specific range. At the same time, precision is the degree to which measurements are within.	Accuracy $=\frac{TP+TN}{TP+TN+FP+FN}$
F1-score	The weighted (sensitivity) and an accurate recall average are two different measures. F1 is a good option if you want to balance precision and reminder.	$\mathrm{F}1 \mathrm{Score}=\frac{\mathrm{TP}}{\mathrm{TP}+\frac{1}{2}\left(\mathrm{FP}+\mathrm{FN}\right)}$
Recall	The ratio correctly identified as diabetes in heart disease out of all heart disease instances.	$\mathrm{Recall}=\frac{\mathrm{TP}}{\mathrm{TP}+\mathrm{FN}}$