Classification of agarwood oil quality using random forest and grid search crossvalidation / Mohamad Aqib Haqmi Abas ...[et al.]

• Main Authors: Abas, Mohamad Aqib Haqmi, Ahmad Zubair, Nurul Syakila, Ismail, Nurlaila, Mohd Yassin, Ahmad Ihsan, Tajuddin, Saiful Nizam, Taib, Mohd Nasir
• Format: Article
• Language: English
• Published: UiTM Press 2018
• Subjects: Pattern recognition systems
• Online Access: https://ir.uitm.edu.my/id/eprint/63040/1/63040.pdf; https://ir.uitm.edu.my/id/eprint/63040/; https://jeesr.uitm.edu.my/v1/
• Institution: Universiti Teknologi Mara

This paper presents a machine learning technique to classify the agarwood oil quality. The random forest classifier model is used with the grid search cross validation technique to classify the quality of agarwood oil. The data of agarwood oil sample were obtained from Forest Research Institute...