What to look: R Square or Root Mean Squared Error (RMSE) for a multiple linear regression model?

Asked Jul 16 '19 at 06:57

Active Jul 16 '19 at 10:41

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I made a multiple linear regression model. This model uses 3 predictors to determine the response (Temperature in K). This model gives a R square of 0.234 (Indicates that this model is a failure). But when i calculated RMSE to be 0.935 K which is very good.

My model gives very good RMSE but very bad R square. So my question is, what conclusions can be made for this model in terms of its accuracy?

asked Jul 16 '19 at 06:57

BetterCallMe

5

Why do you believe your $R^2$ is good and your RMSE is bad? Is my model any good, based on the diagnostic metric (R2 / AUC / accuracy / etc) value? – Stephan Kolassa Jul 16 '19 at 07:06

What to look: R Square or Root Mean Squared Error (RMSE) for a multiple linear regression model?

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