Question: What is the purpose of the confusion matrix?

Options:

1. To visualize the performance of a classification model
2. To calculate the accuracy of a regression model
3. To determine feature importance
4. To optimize hyperparameters

Correct Answer: To visualize the performance of a classification model

Solution:

The confusion matrix visualizes the performance of a classification model by showing true positives, false positives, true negatives, and false negatives.