Improving Classification Accuracy of Scikit-learn Classifiers with Discrete Fuzzy Interval Values

• Main Authors: Hishamuddin, M.N.F., Hassan, M.F., Tran, D.C., Mokhtar, A.A.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097524594&doi=10.1109%2fICCI51257.2020.9247696&partnerID=40&md5=80d1e8e4c3f9a70d31ab39ce1de3c105; http://eprints.utp.edu.my/29869/
• Institution: Universiti Teknologi Petronas

Understanding machine learning (ML) algorithm from scratch is time consuming. Thus, many software and library packages such as Weka and Scikit-Learn have been introduced to help researchers run simulation on several amounts of well-known classifiers. In ML, different classifiers have different perfo...