How do I evaluate the performance of predictive models?

How do I evaluate the performance of predictive models?

To evaluate predictive models, you can use metrics like accuracy, precision, recall, and F1 score. What type of model are you working with?

I'm working with a classification model for customer churn.

For a classification model, you might want to look at the confusion matrix, ROC curve, and AUC score. Have you already split your data into training and testing sets?

Yes, I have. What should I focus on when interpreting the confusion matrix?

Focus on true positives, false positives, true negatives, and false negatives. This will help you understand the model's strengths and weaknesses.