Analysis of Different Predicting Model for Online Shoppers’ Purchase Intention from Empirical Data

The recent outburst of online shopping, commonly known as e-shopping, has added a new dimension in the business sector. In these days, people tend to explore online for finding the items they need and buy through online transaction. It has made their life more easy and comfortable. At the same time, it has become a great need for sellers to know the patterns and intentions of different types of online customers. The customer's purchase intention can be predicted by analyzing the history of the customers. In this study, we have analyzed the empirical data of online shoppers for building a better prediction model to predict their purchase intention. We have analyzed different classification algorithm such as Decision Tree, Random Forest,…