The impact of fuzzy discretization�s output on classification accuracy of random forest classifier

• Main Authors: Fikri, M.N., Hassan, M.F., Tran, D.C.
• Format: Article
• Published: World Academy of Research in Science and Engineering 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087461488&doi=10.30534%2fijatcse%2f2020%2f218932020&partnerID=40&md5=5f09fbd5c4968167d06c3cfa5ad3bb62; http://eprints.utp.edu.my/23170/
• Institution: Universiti Teknologi Petronas

Random Forest is known as among the widely used classification algorithms by researchers and machine learning enthusiast in solving classification problems. Recently, fuzzy discretization has been paired with Random Forest (RF) classifier to enhance the classification accuracy of Random Forest class...