Implementation of the Random Forest Algorithm with Optuna Optimization in Lung Cancer Classification

Lung cancer remains one of the leading causes of death worldwide, with many sufferers unaware of their condition until it is too late for treatment. Therefore, high-accuracy prediction methods are urgently needed for early detection of lung cancer. This research uses the Random Forest algorithm, kno...

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Autors principals:	Ahmad Ainul Yaqin, Mula Agung Barata, Nur Mahmudah
Format:	Artigo
Idioma:	Indonésio
Publicat:	Islamic University of Indragiri 2025-03-01
Col·lecció:	Sistemasi: Jurnal Sistem Informasi
Matèries:	lung cancer, random forest, optuna, hyperparameter optimization, classification
Accés en línia:	https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4877
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