Precision and Recall are the performance metrics i.e., they give insight about the model performance.
Precision : The quotient of true result to the actual result. It gives the percentage of true positive to the sum of a true positive and false positive.
Recall : It is the quotient of true results to the predicted result. It gives the percentage of true positive to the sum of a true positive and false negative.
