This 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.....

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