Classification of educational income-based financial level analysis in the design of recurrent naive Bayes algorithm using data mining application

Abstract

This paper discusses the level of financial literacy of students across several other countries. Using descriptive statistics and data mining applications, iterative design Naive Bayes algorithm is a cross-country comparison of the level of knowledge of financial analysis. Regardless of personal finance or grade level, all other aspects are surpassed through sample courses. Executive high school students, like high school students, do not have other personal finance classes; they are all played by college students. All three countries among the students showed the best results on the profitability and energy topics. The cognitive level results show that both students perform better at the knowledge level, while students generally score higher at the application level.