When evaluating a machine learning model, many people focus on a single number, accuracy. While accuracy is important, it does not always reflect the full performance of a model. A model may have high accuracy but still make critical mistakes in real-world situations. To truly understand how reliable a model is, aspiring data professionals can benefit from a Data Science Course in Mumbai at FITA Academy, which teaches how to look beyond accuracy and explore other performance metrics for deeper...