3. **In the context of regression models, how do metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared differ in evaluating a model's predictive accuracy, and how should each be interpreted when choosing the best model?

3. **In the context of regression models, how do metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared differ in evaluating a model's predictive accuracy, and how should each be interpreted when choosing the best model?
Admin on July 06 2025 at 05:03 PM in Performance Metrics
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