KLASIFIKASI SERANGAN JANTUNG MENGGUNAKAN METODE NAIVE BAYES

WIRAUTAMA, R. IGARSA KHARISMABHAKTI and Rini, Dian Palupi and Kurniati, Rizki (2024) KLASIFIKASI SERANGAN JANTUNG MENGGUNAKAN METODE NAIVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

Heart disease is one of the diseases that causes many deaths, both in developed and developing countries. The high mortality rate due to heart disease is attributed to the lack of attention in society towards healthy eating and the absence of periodic health check-ups. Heart disease occurs when the heart's performance deviates from normal or experiences abnormalities. Several causes of heart disease include heart attacks, age, cholesterol, high blood pressure, and others. In this study, the author developed software to perform "Heart Disease Classification Using the Naïve Bayes Algorithm". The software was created using a public dataset on heart disease consisting of 303 data points. Various data split conditions were applied during training and testing, with data percentages such as 70/30, 60/40, 80/20, and 90/10. After testing the software, the best results were obtained with an 90/10 data split percentage, yielding precision score 0.800438, recall 0.787815, f score 0.773249, and accuracy score 0.774193.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Heart Disease, Naive Bayes
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	R. Igarsa Kharismabhakti Wirautama
Date Deposited:	19 Nov 2024 06:18
Last Modified:	19 Nov 2024 06:18
URI:	http://repository.unsri.ac.id/id/eprint/159583

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