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%.