Building a Logistic Regression Model using Random Subspace

Abstract

A Logistic Regression Model using Random Subspace Method is investigated through experiments. Ensemble learning is known as one of better prediction methods. The framework makes it possible to improve precision of prediction, however interpretation of the model often gets difficult. Using random subspace method with logistic regression model, this paper tried to provide a solution to the problem. Precision improvement of the model is verified from a preliminary experiment. Furthermore the meaning of the combined model is easily understandable by means of coefficients of the prediction model.