The root-mean-square error is a measure of :

The differences between values (sample and population values) predicted by a model or an estimator and the values actually observed. Basically, the RMSD represents the sample standard deviation of the differences between predicted values and observed values

AGREED WITH ALL ANSWER ................................................................................

I agree with Mr. Emad answer. Thank you

Agreed with the given answers.

Thank you all experts for your invitations

I'm not an expert, so correct me if I'm wrong. I have never used RMSE (or RMSE% of true value) for measuring the accuracy of a model. Recently, I met a person that does not agree with my use of RMSE. He told me I have to use (1-RMSE%) to express accuracy. It is not a big problem for me, but it sounds to me as an excuse to find something wrong at any cost. I think that as for p-value (the lesser the higher the significance of a correlation), such a very banal and evident relation can be considered implicit when you measure an attribute. Any ideas

 

 

Agree with you Mr Emad...........................

1. The root-mean-square error is a measure of The correct answer was: d. forecast accuracy.. 

Thumbs up to all

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Thanks