Class imbalance is a common problem encountered in applying machine learning tools to real-world data. It causes most classifiers to perform sub-optimally and yield very poor performance when a dataset is highly imbalance. In this paper, we study a new ...
200 words for Intelligent Data Systems The class imbalance problem is a relatively new challenge that has attracted growing attention from both industry and academia, since it strongly affects classification performance. Research also established that ...
Classification is an important supervised learning technique with numerous applications. We develop an angle-based multicategory distance-weighted support vector machine (MDWSVM) classification method that is motivated from the binary distance-weighted ...
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