Comparison of Logistic Regression and Decision Tree method for Credit Card Fraud Detection
T. Manjunath Kumar · International Journal for Research in Applied Science and Engineering Technology · 2021
The use of Credit cards has drastically increased as they become one of the vital and most used modes of payment.Along with this the Credit Card.Fraud has also grown to a greater extent.Thus, it becomes vital for Credit card companies or banks to identify fraudulent transactions. Machine learning algorithms are used to analyze and identify suspicious transactions. Credit Card Fraud detection is a typical case of classification and data analysis, in this, we have focused on analyzing and comparing the data on parameters like accuracy, precision on the basis of two supervised learning classification algorithm Logistics Regression and Decision tree.