Analysis of Algorithms Support Vector Machine with Naive Bayes Kernel in Data Classification

Abstract

This research is about SVM and Naive Bayes in data mining. Many researchers carry out and develop methods to improve the accuracy and classification of data in good results. This research was carried out by conducting experiments on the types of flowers. In this study, it was concluded that the performance of Naïve Bayes was better than Support Vector Machine, Naïve Bayes had excellent results that promised to help classify the best values to get data grouping. This research is better than SVM. The training process has a difference of 28% and a testing process of 0.83% with the accuracy.