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Etika Kartikadarma
Universitas Dian Nuswantoro
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Journal : Journal of Computing Theories and Applications

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Enhancing Lung Cancer Classification Effectiveness Through Hyperparameter-Tuned Support Vector Machine Gomiasti, Fita Sheila; Warto, Warto; Kartikadarma, Etika; Gondohanindijo, Jutono; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications Vol. 1 No. 4 (2024): JCTA 1(4) 2024
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.10106

Abstract

This research aims to improve the effectiveness of lung cancer classification performance using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis Function (RBF) kernels in SVM helps deal with non-linear problems. At the same time, hyperparameter tuning is done through Random Grid Search to find the best combination of parameters. Where the best parameter settings are C = 10, Gamma = 10, Probability = True. Test results show that the tuned SVM improves accuracy, precision, specificity, and F1 score significantly. However, there was a slight decrease in recall, namely 0.02. Even though recall is one of the most important measuring tools in disease classification, especially in imbalanced datasets, specificity also plays a vital role in avoiding misidentifying negative cases. Without hyperparameter tuning, the specificity results are so poor that considering both becomes very important. Overall, the best performance obtained by the proposed method is 0.99 for accuracy, 1.00 for precision, 0.98 for recall, 0.99 for f1-score, and 1.00 for specificity. This research confirms the potential of tuned SVMs in addressing complex data classification challenges and offers important insights for medical diagnostic applications.
Co-Authors Aditya Wahyu Ramadhan Affandy Affandy Afida, Dita Ahmad Zainul Fanani Ajib Susanto Akbar Dwi Syahputra Alvin Jaya Hulu, Alvin Angga Apriano Hermawan Ashari Juang, Ashari Astuti, Yani Parti Azhara Devi Sandi Christy Atika Sari De Rosal Ignatius Moses Setiadi Desi Purwanti Dhani, Iqbal Dianna Yanuaresta Dico Tri Rosandi Doheir, Mohamed Dwi Puji Prabowo Edy Mulyanto Egia Rosi Subhiyakto Egia Rosi Subhiyakto Egia Rosi Subhiyakto, Egia Rosi Ekaprana Wijaya Endri Mujiono Erika Devi Udayanti Erlin Dolphina Fahmi Amiq Fahri Firdausillah Farikh Al Zami Fauzi Adi Rafrastara Filmada Ocky Saputra Gomiasti, Fita Sheila Habib Mustofa Hafidhoh, Nisa'ul Hafidhoh, Nisa’ul Hafidhoh, Nisa’ul Heribertus Himawan Ifan Rizqa Ifan Rizqa Ifan Rizqa Ifan Rizqa Ifan Rizqa Ifan Rizqa Ihwati Ummi Iskandar, Marcelino Johary, Lakui Jutono Gondohanindijo, Jutono Kumoro, Imanuel Dimas Cahyo Kurniawan, Defri Kusni Ingsih L. Budi Handoko Lakui Johary Marcelino Iskandar Meilani Dwi Permatasari Muhamad Ni'am Syukri Roni Asmi Muhammad Hafidz Muljono, - Najma Fatimah, Nandhita Nathaniel Alexander Nila Tristiarini, Nila Nisa'ul Hafidhoh Nova Rijati Pujiono Pujiono Purwanto Purwanto Rahma, Khalida Nur Raihan Yusuf Ricardus Anggi Pramunendar Rino Agung Rohman, Muhammad Syaifur Safa Firdaus, Muhammad Argya Sakti, Maulana Bima Saputra, Filmada Ocky Saraswati, Galuh Wilujeng Sari Ayu Wulandari Sari Wijayanti Sari Wijayanti Sari Wijayanti Setyawati, Vilda A. V. Sindhu Rakasiwi Sudibyo, Usman Sugiyanto - Susanto, Devva Ricovani T. Sutojo Tri Listyorini Trisnapradika, Gustina Alfa Usman Sudibyo Utomo, Danang Wahyu Wardatunizza, Indah Warto - Wibowo, Alrico Rizki Widayat Yutriatmansyah, Widi Widi Widayat Yutriatmansyah Wikan Isthika, Wikan Winarsih, Nurul Anisa Sri Yani Parti Astuti Yani Parti Astuti Yunita Kemala Sari Yutriatmansyah, Widi Widayat Yutriatmansyah, Widi Widayat Zaenal Arofi, Muhammad Labib