How do I choose the right regression metrics for my model?
An example of an AI chatbot conversation about choosing regression metrics for model evaluation.
How do I choose the right regression metrics for my model?
Choosing the right regression metrics depends on your specific goals. Common metrics include RMSE, MAE, and R-squared.
What do RMSE and MAE measure?
RMSE measures the square root of the average squared differences between predicted and actual values, while MAE measures the average absolute differences.
When should I use R-squared?
R-squared is useful for understanding the proportion of variance in the dependent variable that can be explained by the independent variables.
Are there any metrics that are better for specific types of data?
Yes, for example, RMSE is sensitive to outliers, so if your data has many outliers, MAE might be a better choice.
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