# Model Recall

Percentage

Model Recall, or Sensitivity, calculates the proportion of actual positives correctly identified. It’s important in cases where missing any positive is critical, like disease detection.

## Formula

(True Positives / (True Positives + False Negatives))

## Example

In a disease detection model, if there are 50 actual cases of disease (true positives) and the model identifies 40, missing 10 (false negatives), recall is (40/(40+10)) = 80%.