Classification of Rank for Distributors of Multi-Level Marketing Company by Using Decision Tree Induction

Abstract

Data Mining is a step in the knowledge discovery process consisting of particular data mining algorithms that, under some acceptable computational efficiency limitations, find patterns or models in data [1]. Classification and prediction are two forms of data analysis that can be used to extract models describing important data classes or to predict future data trends. Decision tree is commonly used for the gaining information for the purpose of decision making. This paper intends to apply the Decision tree induction ID3 algorithm on the distributor’s performance data to generate the classification model and this model can be used to predict the promotion of rank for the distributors. The dataset is used from ZhulianMulti-level Marketing Company. 10-fold Cross Validation accuracy method is used to approve the system accuracy.