How can you assess the accuracy and reliability of a regression model's predictions?
- Through classification metrics
- Through clustering metrics
- Through regression metrics like RMSE, R-Squared, MAE
- Through text analysis
The accuracy and reliability of a regression model's predictions can be assessed through regression metrics like Root Mean Squared Error (RMSE), R-Squared, Mean Absolute Error (MAE), etc. These metrics provide quantitative measures of how well the model's predictions align with the actual values, considering both the direction and magnitude of errors.
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