Precision vs Recall

May 3, 2024 | seedling, permanent

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Summary #

wikipedia.) Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances. Written as a formula:

Precision #

= Relevant retrieved instances All retrieved instances \displaystyle \textPrecision=\frac \textRelevant retrieved instances\textAll retrieved instances Recall (also known as sensitivity) is the fraction of relevant instances that were retrieved. Written as a formula:

Recall #

= Relevant retrieved instances All relevant instances \displaystyle \textRecall=\frac \textRelevant retrieved instances\textAll relevant instances

OCR of Images #

2023-12-11_20-46-22_screenshot.png #

relevant elements false negatives true negatives true positives false positives retrieved elements How many retrieved items are relevant? How many relevant items are retrieved? Precision = Recall = Precision and recall D