Prediction of Enrolment in Higher Educational Institution Using Machine Learning
Prediction is a surmise about any event which may happen. It monotone same as the knowledge previously obtained on the unrevealed event in the interest. Best decisions based on the prediction accomplish human life more enhanced. Based on the quality of the prediction one may become a successful human. To automate this process machine may be trained and can be replace the human. Enrollment for the forthcoming year is a massive act for HEI. This paper elucidates to predict the number of candidates in gender wise for HEI Enrollment process using Random Forest supervised machine learning algorithm.
Author's Name: S. Celine, Barna Bass, M. Maria Dominic and M. Savitha Devi
Volume: Volume 15
Issues: Issue 3
Keywords: Machine Learning Algorithms, Support Vector Machine, Decision Trees, Clustering, K-Means Classification, Logistic Regression Model, Random Forest.