The ________ measures the average of the squares of the errors, while the ________ takes the square root of that average in regression analysis.
- MAE, MSE
- MSE, RMSE
- R-Squared, MAE
- RMSE, MAE
The Mean Squared Error (MSE) calculates the average of the squared differences between predicted and actual values, and the Root Mean Squared Error (RMSE) takes the square root of that average. RMSE gives more weight to large errors and is more interpretable as it is in the same unit as the response variable.
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