Assessing Personal Performance with M-SVMs

Abstract

In view of the significance of personal performance assessment in the working metrics of human resource management, this study proposes to set up a multi-class Support Vector Machine based model to elaborate how to evaluate the staffs' performance effectively and efficiently. Data samples are collected from a construction company in China, and used to justify the proposed model against the selected well-established classifiers. The experimental results suggest it to be a promising alternative for assessing personal performance.