Objective: By classifying the different orders, the company’s research team will understand better insights and research can help them make good decisions on setting prices for customers in different regions. This kind of research also helps companies to understand from which type of customers and in which type of regions the orders can be repeated by customers. Goal: Given the order transaction details, build a classification model which can predict whether the same type of order can be repeated by any customer or no chance that the same type of order cannot be repeated by any customer.

Here I'm tried different ML models & done replace the string values in columns . Finally Train the XGboost Model for better accuracy