Optimasi Seleksi Fitur Information Gain pada Algoritma Naïve Bayes dan K-Nearest Neighbor

Optimasi Seleksi Fitur Information Gain pada Algoritma Naïve Bayes dan K-Nearest Neighbor

There was an increase in the number of late payments of tuition fees by 3,018 from a total of 5,535 students at the end of 2020. This study uses the Python library which requires data to be of numeric type, so it requires data transformation according to the type of data in the study, data that has...

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Bibliographic Details
Main Authors: Muhammad Norhalimi, Taghfirul Azhima Yoga Siswa
Format: Article
Language:English
Published: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2022-09-01
Series:JISKA (Jurnal Informatika Sunan Kalijaga)
Subjects:
Prediction
Naïve Bayes
K-Nearest Neighbor
Information Gain
Confusion Matrix
Online Access:https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/3533

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