Question: What does a confusion matrix provide in model evaluation?

Options:

1. A summary of prediction errors
2. A graphical representation of data distribution
3. A measure of model training time
4. A list of features used in the model

Correct Answer: A summary of prediction errors

Solution:

A confusion matrix provides a summary of prediction errors by showing the counts of true positives, true negatives, false positives, and false negatives.