Use of Linear Regression in Machine Learning for Ranking

Machine Learning is a growing field today in AI. We discuss use of a Supervised Learning algorithm called as Regression Learning in this paper for ranking. Regression Learning is used as Prediction Model. The values of dependent variable are predicted by Regression Model based on values of Independent Variables. By Regression Learning if after Experience E, program improves its performance P, then program is said to be doing Regression Learning. We chose to use Linear Regression for Ranking and discuss approaches for Rank Regression Model Building by selecting best Ranking parameters from Knowledge and confirming their selection further by performing Regression Analysis during Model building. Example is explained. Analysis of Results and we discuss the Combined Regression and Ranking approach how it is better for enhancing use of Linear Regression for Ranking purpose. We conclude and suggesting future work Ranking and Regression.