Introduction - If you have any usage issues, please Google them yourself
Bayesian decision theory: According to the a priori probability, the class distribution as well as the posterior probability density function of these values in order to achieve the classification decision-making methods. The smallest error rate of Bayesian decision-making: According to the largest posterior probability of a thing as a classification based on the decision-making