TESTR

MSE for regression

       E = TESTR(X,W,TYPE)
       E = TESTR(X*W,TYPE)
       E = X*W*TESTR([],TYPE)
       E = X*W*TESTR(TYPE)

Input
X	Regression dataset
W	Regression mapping
TYPE	Type of error measure, default: mean squared error

Output
E	Mean squared error

Description

Compute the error of regression W on dataset X. The following error  measures have been defined for TYPE

'mse'	mean squared error (default)
'mad'	mean absolute deviation

See also

rsquared, testc,