This post provides an in-depth exploration of sensitivity, specificity, confusion matrices, ROC curves, Precision-Recall curves, and Lift curves, which are crucial tools for evaluating binary classifiers. Using the Titanic dataset as a real-world example, we make these concepts more approachable and applicable to your future machine learning projects.
