Recall is the share of positive predictions out of all the true positives in the data — i.e. what % of the true positives in the data your algorithm managed to identify as positives. If the recall is X%, X% of the true positives in the data were identified by the algorithm as posit…#2: What You Need to Know About ML Algorithms and Why You Should Care1.6K13Yael GavishSumant USFollowAug 9, 2017 · 1 min readIsn’t Recall % of True Negatives of all the Negative Classes?