Prediction of teacher enrollment for pakistani schools by using SVM

Abstract

Civilization distinguishes human being from other creatures. Civilization is adorned with education. Education uplifts not only the standard but also the historical records of nations. Teachers, students, public, government and curriculum are the main components of education. This study analyzes the number of school teachers and predicts the future annual enrollment of teachers using the SVM model (support vector machine). Time series data of 46 years (1971-2017) have been taken from the Handbook of Statistics on Pakistan Economy. Our results depict that school teachers must be further enrolled at all levels. Our method leads to good precision.