As a constant reminder, because I keep forgetting them, I revisited this nice blog here: https://shiffdag.medium.com/what-is-accuracy-precision-and-recall-and-why-are-they-important-ebfcb5a10df2

Basically, these sentences are something that should be kept in mind:

Precision: What proportion of positive identifications was actually correct? => Precision = TP/(TP+FP)

Recall: What proportion of actual positives was identified correctly? => Recall = TP/(TP+FN)

What is accuracy? Accuracy = TP+TN/(TP+TN+FP+FN)

Basically, always construct a confusion matrix, if you can.