PREDIKSI KANKER PAYUDARA DENGAN NAIVE BAYES

DWIKA, ARIF WIRA LAKSANA and Utami, Alvi Syahrini and Rodiah, Desty (2021) PREDIKSI KANKER PAYUDARA DENGAN NAIVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

In 2018 WHO stated that the number of cancer cases and deaths was 18.1 million and 9.6 million deaths, and breast cancer is the 2 largest contributor to the number of cancer in the world. In this research using the Naïve Bayes method because there are advantages, namely considering the assumption of independent variables, where the Naïve Bayes classification assumes that the value of the variable from that particular class does not depend on the value of other variables. In the first experiment using 70% training data sharing and 30% testing data, and in the second experiment using 80% training data and 20% testing data, with an accuracy of 65.217%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: kanker payudara, naive bayes
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
T Technology > T Technology (General) > T173.2-174.5 Technological change
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Users 10629 not found.
Date Deposited: 08 Jun 2021 06:30
Last Modified: 08 Jun 2021 06:30
URI: http://repository.unsri.ac.id/id/eprint/47810

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