Abstract
Credit card being one of the most used financial products is designed to make purchases such as gas, groceries, TVs, traveling, shopping bills and so on because of non-availability of funds at that instance. Credit cards are of most value that provides various benefits in the form of points while using them for different types of transactions. machine learning is the semi-automated extraction of knowledge from data. Broadly speaking, machine learning (ML) deals with the question of how to build computer programs that learn from data and, as a result, can generate programs that generalize from that data in the form of a program that reflects concepts implicit in the underlying data. In this research work presents comparative study based on different machine learning techniques, and study suggest that proposed model gives better results than other models.