What do you understand by Precision and Recall?

In pattern recognition, The information retrieval and classification in machine learning are part of precision. It is also called as positive predictive value which is the fraction of relevant instances among the retrieved instances.

Recall is also known as sensitivity and the fraction of the total amount of relevant instances which were actually retrieved.

Both precision and recall are therefore based on an understanding and measure of relevance.