The choice of evaluation metric depends on the problem you are trying to solve and the specific requirements or constraints of the application. Some common metrics for classification include accuracy, precision, recall, F1 score, and ROC AUC, while common metrics for regression include mean squared error, mean absolute error, and R-squared.