About this document
Taxpayer Compliance Classification Using C4.5, SVM, KNN, Naive Bayes and MLP by amanual is a document available to read on EtoBox.
This document discusses classifying taxpayer compliance using machine learning algorithms. It compares C4.5, SVM, KNN, Naive Bayes and MLP algorithms to classify taxpayers into four compliance levels based on criteria like F-Score and accuracy. The research finds that the C4.5 algorithm performs best for this classification task.
- Author
- amanual
- Language
- EN