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All Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika INFOKUM Jurnal Abdidas Mejuajua Jurnal Minfo Polgan (JMP) Journal of Science Technology (JoSTec) Jurnal Pengabdian Masyarakat Nusantara Jurnal Pengabdian kepada Masyarakat Journal of Technology and Computer (JOTECHCOM)
Fahmi Ruziq
Universitas Battuta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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Journal : Journal of Science Technology (JoSTec)

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KNN and XGBoost Algorithms for Lung Cancer Prediction M. Rhifky Wayahdi; Fahmi Ruziq
Journal of Science Technology (JoSTec) Vol. 4 No. 1 (2022): Journal of Science Technology (JoSTec)
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jostec.v4i1.251

Abstract

In this paper, the K-Nearest Neighbor and XGBoost algorithms will be implemented in lung cancer prediction. This prediction is important because lung cancer is one of the highest causes of death worldwide. Prediction and diagnosis of this cancer can be done with machine learning algorithms such as K-Nearest Neighbor and XGBoost. Based on the results of the analysis and testing of the K-Nearest Neighbor algorithm and the XGBoost algorithm, the results show that the two algorithms obtain a very good level of accuracy, as well as obtain a balanced precision, recall, and f1-score. But in this case the XGBoost algorithm tends to be better than the KNN algorithm in recognizing a given data pattern.
Co-Authors Aripin Rambe Chairul Imam Dinur Syahputra Ellanda Purwawijaya Fithrie Soufitri Ilham Syahputra M. Rhifky Wayahdi Mia Anggraini Rahmad Fadli Rahmad Syuhada Roy Nuary Singarimbun Subhan Hafiz Nanda Ginting Subhan Hafiz Nanda Ginting