Which metric would be most appropriate for evaluating a regression model?
Practice Questions
1 question
Q1
Which metric would be most appropriate for evaluating a regression model?
Accuracy
F1 Score
Mean Absolute Error
Confusion Matrix
Mean Absolute Error (MAE) is a common metric for evaluating regression models, measuring the average magnitude of errors in a set of predictions without considering their direction.
Questions & Step-by-step Solutions
1 item
Q
Q: Which metric would be most appropriate for evaluating a regression model?
Solution: Mean Absolute Error (MAE) is a common metric for evaluating regression models, measuring the average magnitude of errors in a set of predictions without considering their direction.
