Machine Learning
What is recall?
Recall is the number of the correct predictions of the positive class divided by the number of predictions that should have been classified in the positive class. TP/(TP + FN)
Recall is the number of the correct predictions of the positive class divided by the number of predictions that should have been classified in the positive class. TP/(TP + FN)
Card 1 of 197. Answer: Recall is the number of the correct predictions of the positive class divided by the number of predictions that should have been classified in the positive class. TP/(TP + FN)