Explanation

• The metric that is commonly used to evaluate classification models and represents the ratio of correctly predicted positive instances to all positive instances is recall.
• Recall is a measure of a classifier’s completeness, and it is also known as sensitivity, hit rate, or true positive rate (TPR).
• The formula for recall is the number of true positives divided by the sum of true positives and false negatives.