Measuring and Enhancing the Performance of Undergraduate Student Using Machine Learning Tools

摘要: Large number of students are graduated from colleges every year. A student with several specialties and skills supposed to be ready for the market. unfortunately, a small percentage graduate having required market skills. Therefore, they can directly start their career life. few numbers researches address systematic approaches measuring performance while haven’t yet. In addition, researchers techniques that adopted not only performance, but also improving performance. this research, student’s related data is analyzed based on features. The in context considered as big which there need specialized tool perform an accurate efficient analysis. Student gender, type enrollment, marital status, city birth learning k-12 stage features have been chosen study. Moreover, Al-Al Bayt University was population