Answer Posted / Sanjay Kumar Dhaka

Precision is the ratio of true positive predictions (relevant instances correctly identified) to the total predicted positives. High precision means that most of the predicted positives are truly relevant. Recall, also known as sensitivity, is the ratio of true positive predictions to the actual number of relevant instances in the data. High recall means that most of the relevant instances have been correctly identified.

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