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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA
Arvin Rasheda
ARS University, Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Analisis Perbandingan Kinerja Algoritma Naïve Bayes, Decision Tree-J48 dan Lazy-IBK Indra Rukmana; Arvin Rasheda; Faiz Fathulhuda; Muh Rizky Cahyadi; Fitriyani Fitriyani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 3 (2021): Juli 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i3.3055

Abstract

This research is focused on knowing the performance of the classification algorithms, namely Naïve Bayes, Decision Tree-J48 and K-Nearest Neighbor. The speed and the percentage of accuracy in this study are the benchmarks for the performance of the algorithm. This study uses the Breast Cancer and Thoracic Surgery dataset, which is downloaded on the UCI Machine Learning Repository website. Using the help of Weka software Version 3.8.5 to find out the classification algorithm testing. The results show that the J-48 Decision Tree algorithm has the best accuracy, namely 75.6% in the cross-validation test mode for the Breast Cancer dataset and 84.5% for the Thoracic Surgery dataset.
Co-Authors Faiz Fathulhuda Fitriyani Fitriyani Indra Rukmana Muh Rizky Cahyadi