AbstractThis study proposed a statistical investigate the pattern of students’ academic
performance before and after online learning due to the Movement Control Order
(MCO) during pandemic outbreak and a modelling students’ academic performance
based on classification and regression in Support Vector Machine (SVM). Data sample
consist of 228 students were taken from undergraduate students of Department of
Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris
(UPSI). The instrument used for data collection is a questionnaire. Student’s Grade
Point Average (GPA) before and after online learning were taken to identify the pattern
of students’ academic performance before and after Movement Control Order (MCO)
while Cumulative Grade Point Average (CGPA) after online learning were obtained to
developed model of academic performances during COVID-19 outbreak. The
algorithm of Support Vector Machine (SVM) classification and regression was used to
devel.....