KDnuggets’s post “Idiot’s Guide to Precision, Recall, and Confusion Matrix” provides an intuitive explanation of how to evaluate Classification models. “Building Machine Learning models is fun, but making sure we build the best ones is what makes a difference. Follow this quick guide to appreciate how to effectively evaluate a classification model, especially for projects where accuracy alone is not enough.” Link