Precision & Recall for a Machine Learning Model

Precision attempts to answer the following question: What proportion of positive identifications was actually correct?

Recall attempts to answer the following question: What proportion of actual positives was identified correctly?

In this video, we aim to uncover the use of Precision & Recall to evaluate machine learning models.

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