Machine Learning, Data Science, Artificial Intelligence.
the model’s ability to find all positive instances. Recall is calculated as the ratio of true positives to the sum of true positives and false negatives (missed positives). Recall (Sensitivity) = 𝑇𝑃/ 𝑇𝑃 + 𝐹P F1 Score: The F1 score combines precision and recall into a single metric, providing a