How do you evaluate the performance of a machine learning model, and what metrics are commonly used for this purpose?

When it comes to evaluating the performance of a machine learning model, there are a variety of metrics that can be used. The choice of metric will depend on the type of problem being solved and the goals of the model. One common metric for classification problems is accuracy, which measures the percentage of correctly classified instances. However, accuracy may not be the best metric in all cases, especially when the dataset is imbalanced or when there are more than two classes. In such cases, precisio....