Approximations for the probability of misclassification

摘要

An algorithm which estimates the probability of classifying a multivariate normal observation into either of two classes is developed and evaluated. As part of the evaluation the algorithm is used to compare and evaluate maximum likelihood. Euclidean distance, linear discriminant and other classification rules.