root mean square

Terms from Artificial Intelligence: humans at the heart of algorithms

The root mean square (RMS) is the square root of the arithmetic mean of the squares of sequence of values . That is, if vi is a sequence of values:

        RMS   =   &sqrt ( ( &Sigma vi2 ) / N )

The RMS (or the plain mean square error) is often used as a form of {{accuracy measure}. In this case the values are differences between true value (say xi) and prediction or estimate (say pi), so that the RMS error is:

        RMS   =   &sqrt ( ( &Sigma (xi − pi)2 ) / N )

Also known as RMS