Web Application for Copier Machine Rental System

In copier machine rental business, it is necessary to predict quantity of spare parts of the copier machines for better inventory management. If the relationship between corrupted spare parts can be identified, it will be helpful to the business inventory management and for machine repairing employees also to know which parts they should keep with them before going to the customers place. In this paper we are discussing Apriori algorithm for recommendation and three classification algorithms- Nave Bayes algorithm, Logistic regression, Decision Tree algorithm. We are considering a common 3 month machine data set and analyzing each classification algorithm for its performance and accuracy to select the best algorithm among them.