Supervised learning is one of the big problems of machine learning that has been applied in many fields. This paper applies it for classification problem on car type in Vietnam market. It uses the database of car industry in Vietnam in 2023, refers to car specification to make prediction of car types. The paper applies 6 algorithms, including: Logistic Regression, Naive Bayes, Linear Discriminant Analysis, Classification and Regression Tree, Support Vector Machine and Gradient Boosting for model training and testing. After selecting the most appropriate algorithm, the research evaluates efficiency of classification in machine learning by accuracy score and confusion matrix.