How do I evaluate the performance of a machine learning model?
Evaluating the performance of a machine learning model involves using metrics like accuracy, precision, recall, F1 score, ROC curve, and confusion matrix to assess model effectiveness, reliability, generalization capabilities, and identify areas for improvement.