Evaluating Classification Models: Beyond Accuracy and Precision
IntroductionIn the rapidly evolving world of data science, classification models have become central to applications like fraud detection, medical diagnoses, spam filtering, and sentiment analysis. While accuracy and precision are often the go-to metrics for evaluating such models, they do not always tell the whole story. As datasets become more...









