In machine learning, building a model is only half the battle. The real challenge lies in evaluating how well the model performs, especially when it comes to classification problems. Whether you're predicting spam emails, customer churn, or disease diagnosis, understanding model evaluation metrics is crucial. Two of the most powerful tools in this