What is precision, Recall, Accuracy and F1-score?
Precision, Recall and Accuracy are three metrics that are used to measure the performance of a machine learning algorithm. The Precision is the ratio of true positives over the sum of false positives and true negatives. It is also known as positive predictive value. Precision is a useful metric and shows that out of those…Read More