How do I compare regression metrics effectively?
An example of an AI chatbot conversation about comparing regression metrics in machine learning.
How do I compare regression metrics effectively?
To compare regression metrics, you can look at metrics like RMSE, MAE, and R-squared. Each has its strengths.
What do RMSE and MAE tell me about my model?
RMSE gives you the standard deviation of the residuals, while MAE provides the average magnitude of errors. Both are useful!
Which metric should I prioritize?
It depends on your specific use case. RMSE is sensitive to outliers, while MAE is more robust. Choose based on your data.
Can I use R-squared alone to evaluate my model?
R-squared is helpful, but it shouldn't be the only metric. It doesn't account for the scale of errors or model complexity.
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