One of the main tasks of machine learning – the problem of classification was considered. Principles of construction and usage of the Bayesian classifier were desсribed. Was developed the mathematical model of Bayesian classifier that describes the decision-making process. On the base of developed model were explored dependencies of error probability from different parameters.
classifier, normal distribution, error function
"Analyz эffektyvnosty Baiesovskoho klassyfykatora" [Analysis of the effectiveness of Bayesian classifier],
Information Processing Systems,