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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer JOIV : International Journal on Informatics Visualization RABIT: Jurnal Teknologi dan Sistem Informasi Univrab ILKOM Jurnal Ilmiah Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Jurnal Tecnoscienza Computer Science and Information Technologies Jurnal Abdidas Indonesian Journal of Data and Science Journal of Applied Data Sciences Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Jurnal Minfo Polgan (JMP) Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Jurnal Inovasi Teknologi dan Edukasi Teknik Linier: Literatur Informatika dan Komputer
Lokapitasari Belluano, Poetri Lestari
Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : computer science and information technologies

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Analysis of ensemble machine learning classification comparison on the skin cancer MNIST dataset Poetri Lestari Lokapitasari Belluano; Reyna Aprilia Rahma; Herdianti Darwis; Abdul Rachman Manga
Computer Science and Information Technologies Vol 5, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i3.p235-242

Abstract

This study aims to analyze the performance of various ensemble machine learning methods, such as AdaBoost, bagging, and stacking, in the context of skin cancer classification using the skin cancer MNIST dataset. We also evaluate the impact of handling dataset imbalance on the classification model’s performance by applying imbalanced data methods such as random under sampling (RUS), random over sampling (ROS), synthetic minority over-sampling technique (SMOTE), and synthetic minority over-sampling technique with edited nearest neighbor (SMOTEENN). The research findings indicate that AdaBoost is effective in addressing data imbalance, while imbalanced data methods can significantly improve accuracy. However, the selection of imbalanced data methods should be carefully tailored to the dataset characteristics and clinical objectives. In conclusion, addressing data imbalance can enhance skin cancer classification accuracy, with AdaBoost being an exception that shows a decrease in accuracy after applying imbalanced data methods.
Co-Authors A. Ulfa Tenripada A. Ulfah Tenripada A.R Tuasamu, Fatimah Abd. Majid Abd. Rasyid Syamsuri Abdul Muftia Abdul Rahman Mustafa Mustafa Ahmad Fauzan Sainlia Aisyah Rusdi Alfad Indrawan Alfian Putra Ramadhan Aliyah Nazirah Alriadi Tri Putra Amaliah Faradibah AR, Fatimah Ashar, Muhammad Aulia Putri Utami Awal Pradinata Aydil Akbar Zam Ayu Aksari Benny Leonard Enrico P Benny Leonard Enrico Panggabean Chindy Ariani Dewi Widyawati Dirgahayu Lantara Enrico Panggabean, Benny Leonard Erick Irawadi Alwi, Erick Irawadi Fachrul Kurniawan Fadlan Hasan Fahmi Fahmi Faradibah, Amalia Faradibah, Amaliah Farniwati Fattah Fatahillah, Furqon Furqaan Ismail Gaffar, Andi Widya Mufila Harlinda Lahuddin Harlinda, Harlinda Herman Herman Herman Indrawati Indrawati Irawati Irawati Ismaldyka Ismaldyka Kasmira Kasmira Kasmira, Kasmira Khatimah, Nur Khusnul Kurniati, Nia Kurubacak, Gulsun La Saiman lilis nurhayati Lutfi Budi Ilmawan, Lutfi Budi Manga, Abdul Rachman Mardiyyah Hasnawi Melisa Melisa Muh Fachrul Islam Muh Syawal Muh Taufik Rifaat Muh. Aliyazid Mude Muh. Iqbal Muh.Agung Wirawan Muhammad Akbar Muhammad Fadhiel Muhammad Faiq Rahmatullah Muhammad Farid Zulfadly MUHAMMAD ILHAM Muhammad Kamil Muhammad Nur Fuad Muhammad Razaq Fajar Muhammad Rifky Saputra Scania Nia Kurniati Nisrina Dwi Ambarwati Noor Fauzi, Muh Hilmy Nur Chaerunnisa Nur wahidah Panggabean, Benny Leonard Enrico Purnawansyah Purnawansyah Rahmadani Rahmadani Rahmadani Rahmadani Rahmat Ramadhan Ramdan Satra Reyna Aprilia Rahma Rizal Rahmadani Saiman, La Siska Anraeni Sitti Rahmah Jabir Sitti Ramlah St Radiatul Adawiah Abidin Sugiarti, Sugiarti Syaad Patmanthara Syafie, Lukman Syahrul Mubarak Abdullah Tasrif Hasanuddin Tuasamu, Fatima A.R Utami, Aulia Putri Wa Ode Tanti Widia Ningsih Widyawati, Dewi Wistiani Astuti Yudha Islami Sulistya Yulita Salim Yundari, Yundari Zahrizhal Ali