Mini toolsDefinition
The proportion of actual positive cases that were correctly identified. Measures a model's ability to find all relevant cases within a dataset.
Detailed Explanation
Recall = True Positives / (True Positives + False Negatives). Also known as sensitivity or true positive rate, recall measures the model's ability to identify all relevant instances. High recall indicates the model captures most positive cases, but doesn't account for false positives.
Use Cases
Critical in disease detection, criminal investigation systems, and fraud detection where missing positive cases is highly problematic.
