Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction
Yap Bee Wah, Azlan B. Ismail, Nur Niswah Naslina Azid, Jafreezal Jaafar, Izzatdin Abdul Aziz, Mohd Hilmi Hasan, Jasni Mohamad Zain · Computers, materials & continua/Computers, materials & continua (Print) · 2023
Prediction of machine failure is challenging as the dataset is often imbalanced with a low failure rate. The common approach to handle classification involving imbalanced data is to balance the data using a sampling approach ... | Find, read and cite all the research you need on Tech Science Press