Classification of Lung Cancer Using Support Vector Machine with Feature Selection Based on Artificial Bee Colony Rate of Change Selly Anastassia Amellia Kharis (a), Asmara Iriani Tarigan (a), Darsih Idayani (a)
a) Department of Mathematics, Faculty of Science and Technology, Universitas Terbuka, Jl. Cabe Raya, Pamulang, Tangerang Selatan, 15437, Indonesia
*selly[at]ecampus.ut.ac.id
Abstract
Society 5.0 is a core concept to resolve various social challenges by incorporating the innovation of the fourth industrial revolution. The wave of digital transformation such as big data, the internet of things, and artificial intelligence would be connected and develop sustainable technology. One branch of artificial intelligence is machine learning. Machine learning systematically applies algorithms that satisfies a goal in an inductive way by learning from data. The development of machine learning model is widely used for a classification problem based on the data that have been defined previously. This study aims to classify lung cancer using a support vector machine with feature selection based on artificial bee colony rate of change (ABC-ROC). There are 3 classifications compared in this study, namely classification using Support Vector Machine (SVM) without feature selection, classification using Support Vector Machine (SVM) with feature selection based on artificial bee colony (ABC), and classification using Support Vector Machine (SVM) with feature selection based on ABC-ROC. There are two dataset from Kent Ridge Biomedical Dataset: Michigan lung cancer data consisting of 96 samples with 7129 features (genes) and Ontario lung cancer data consisting of 39 samples with 2880 features. Cancer is classified into two classes, namely cancer and non-cancerous. The results of this study are expected to be useful for the community in classifying cancer, especially lung cancer, more accurately and quickly. In addition, the results of this study can be useful in determining the genes that influence lung cancer.
Keywords: Artificial Bee Colony- Artificial Bee Colony Rate of Change- Lung Cancer- Support Vector Machine
