mean square error

Terms from Artificial Intelligence: humans at the heart of algorithms

The mean square error is a form of {{accuracy measure}. It is the arithmetic mean of the squares of the errors. That is, if xi is a sequence of 'true' values (perhaps form tariningdata) and pi is a corresponding sequence of estmates/predictions, then:

        mean square error   =   &Sigma (xi − pi)2 ) / N

Sometimes the sqoare root of this used, called (predictably!) the root mean square error (RMS).