Predicting Employees Performance using Data Mining Techniques

Abstract

Human resources management (HRM) has become one of the essential interests of managers and 4decision-makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. In this research, data mining techniques were utilized to build a classification model for predicting the performance of employees using a real dataset. For this, we are using different methods such as support vector machine, Logistic Regression and Neural Network. This System rates the performance of employees and gives a predictive analysis of data mining techniques. Our main objective is how the training/test split ratio affects the estimation of the generalization performance and to find the best algorithm for predicting employee performance.