Error rate of linear pattern classifiers based on mean–square error criterion

It is found that error rate of linear pattern classifiers based on the mean-square error criterion is uniquely determined by the distance between the means of two pattern classes on the real line when the two pattern classes have the normal distributions with the same covariance matrices.