Question: Which metric is used to evaluate the performance of a binary classification model?

Options:

1. Mean Squared Error
2. F1 Score
3. R-squared
4. Mean Absolute Error

Correct Answer: F1 Score

Solution:

F1 Score is used to evaluate the performance of binary classification models, balancing precision and recall.