Navigating the Metrics Landscape: A Comprehensive Guide to Evaluating Classification Models in Machine Learning — In the previous article, we discussed four common metrics for classification problems: accuracy, precision, recall, and F1 score. You can read that article here. We saw what each metric means, how to calculate it, and how to implement it using Python, numpy and scikit-learn library. In this article, we will…