Understanding ML Metrics: Recall, Precision, and F1 Score
This article uses a fruit basket analogy to explain key concepts in machine learning evaluation metrics, including recall, precision, and F1 score, making it easier to understand how these metrics relate to identifying true positives, false positives, and false negatives.