Machine Learning & Training

What Are Precision and Recall?

Precision and recall are two complementary metrics for evaluating classification models. Precision measures the fraction of predicted positives that are actually correct, while recall measures the fraction of actual positives that were identified. There is often a tradeoff between the two depending on the decision threshold.