Prediction of Future Career Course of Students Through RF Algorithm

Abstract

“Life without an aim is like a ship without a sail”. This is very true with the present generation. They are very focused and at a very young age, they set their career goals. While in school, they know about their strengths, abilities, and start working on them. From the secondary level, they start thinking about the particular area of studies they will opt for in their future, whether they will opt for science, commerce, humanities, or opt for a job-oriented course. The parents also play an important role and help their wards with the selection of their streams so that they have a secure future. This is possible when the right decision is taken at the right time. Thus, it is very important to choose the right course and complete giving your best, and fulfill one dream of reaching the top. The right decision taken helps to allow the student to discover both their interests and skills. So, an effort has been made to develop a mathematical model (math model) with these features, which is made up of multiple decision trees. This study is based on the RFs Algorithm (RFA), an innovative assemble classifier that figures a large number of decision trees to improve the decision over the single tree classifier. With the help of the RFA, a classification model was proposed and the outcome of the model is depending on the voting system in which several classifiers are running autonomously.