Evaluating Models

Understand how to evaluate machine learning models effectively by learning to use scikit-learn's predict function and key evaluation metrics such as classification accuracy, mean absolute error, mean squared error, and R squared. This lesson helps you assess model performance on test data for both regression and classification tasks.