Comparative Analysis of C4.5 And Naïve Bayes Algorithm in Predicting Cerebrovascular Disease

JI : Jurnal Informatika [ISSN Print 2355-6579] [ISSN Online 2528-2247]
April 1, 2022 by
Comparative Analysis of C4.5 And Naïve Bayes Algorithm in Predicting Cerebrovascular Disease
kelvin leonardi

Abstract


Cerebrovascular accidents or strokes are one of the leading causes of death worldwide. Stroke is a disease caused by a malfunction of the blood vessels that supply the blood to the brain. Machine learning is a technology that can be used to predict stroke. Machine learning algorithms are constructive when making accurate predictions and providing accurate analysis. One of the machine learning classification algorithms that can be used for prediction is the Decision Tree C4.5 algorithm and the Naive Bayes algorithm. The purpose of this study is to compare the accuracy and performance of the two algorithms for predicting cerebrovascular disease or stroke. Based on the results of the study, it was found that the C4.5 algorithm achieved a higher accuracy of 95% and the Naive Bayes algorithm achieved a precision of 91%.

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Kelvin Leonardi Kohsasih

Universitas Potensi Utama

Zakarias Situmorang

Universitas Katolik Santo Thomas

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Citation:

K. L. Kohsasih, and Z. Situmorang, “Analisis Perbandingan Algoritma C4.5 Dan Naïve Bayes Dalam Memprediksi Penyakit Cerebrovascular”, Jurnal Informatika, vol. 9, no. 1, hlm. 13-17, April 2022.

Publication:
Vol 9 No 1 (2022): Jurnal Informatika
DOI:
10.31294/inf.v9i1.11931

Copyright:

Copyright (c) Jurnal Informatika
Comparative Analysis of C4.5 And Naïve Bayes Algorithm in Predicting Cerebrovascular Disease
kelvin leonardi April 1, 2022
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