What metrics you can use to evaluate a regression model? Select two correct options.
To evaluate a regression model, you can use:
Root Mean Squared Error (RMSE) – This measures the average magnitude of the errors between predicted and actual values. A lower RMSE indicates a better fit.
Coefficient of Determination (R²) – This indicates the proportion of variance in the dependent variable that is predictable from the independent variables. A higher R² value indicates a better fit.
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