Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 10.54216/JAIM https://www.americaspg.com/journals/show/1448 2022 2022 Faculty of Computer and Information, Mansoura university, Egypt Khadija .. University of Miami, 1251 Memorial Drive, Coral Gables, 33146, FL, USA Nima Khodadadi Credit card use is rapidly increasing as a result of the widespread availability of these cards, the ease of making electronic transfers, and the ubiquity of online shopping. But credit card debt poses a serious risk to businesses and governments alike, not to mention individual savers and investors. Consequently, the need for efficient, timely, and reliable ways to anticipate credit card risk has grown. In this study, we offer a framework that combines three classifiers, namely, support vector machines, multilayer perceptron and decision trees, to improve the network's accuracy. The proposed strategy is shown to be very competitive with others through simulation. 2022 2022 46 54 10.54216/JAIM.020105 https://www.americaspg.com/articleinfo/28/show/1448