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All Journal JIKO (Jurnal Informatika dan Komputer) Jurnal CoreIT INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) Journal of Community Development Indonesian Journal of Informatic Research and Software Engineering Malcom: Indonesian Journal of Machine Learning and Computer Science
Afriyanti, Liza
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Nursing Public Health Social Sciences Other

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Benchmarking Various Machine Learning Models to Detect Lung Cancer Afrianty, Iis; Afriyanti, Liza
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 2 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i2.38590

Abstract

This study benchmarked and evaluated the performance of various machine learning techniques to detect lung cancer using public datasets. The techniques used include Random Forest, Support Vector Machine, Logistic Regression, Multi-Layer Perceptron, C4.5, Bayesian Network, Reptree, Naive Bayes, and P.A.R.T. Evaluation was carried out using metrics such as Accuracy, F-measure, Precision, TPR, ROC, FPR, PRC, and MCC. The results showed that the Support Vector Machine algorithm performed best on balanced dataset distribution, while Random Forest showed stable performance on unbalanced datasets. This study confirms the importance of selecting appropriate algorithms and data distribution to improve lung cancer detection.
Co-Authors Arifandy, M. Imam Baehaqi Eka Pandu Cynthia Elin Haerani Fadhilah Syafria Febi Yanto Fitri Insani Fitri Wulandari Hatta, M Ilham Iis Afrianty Irsyada, Amelia Miftah Farid Muhammad Irsyad Mulyadi, Syahrul Nazir, Alwis Rahmadhani, R. Rendi Ibnu Syahputra Sandi, Wahyu Ari Surya Agustian Utari, Roid Fitrah