Aim: The main aim of the research is to detect Credit Card Fraud using XGBoost compared with the Novel AdaBoost. Materials and Methods: When implementing an accurate prediction model it might not be sufficient to just consider one or two parameters. This analysis will be fed to the prediction model. Following XGBoost algorithm novel AdaBoost algorithm based on the previously collected datasets.Can predict the upcoming credit card fraud with calculations. Result: Comparison is done by using SPSS Software.The XGBoost algorithm produces 93.89% whereas AdaBoost algorithm produces 94.38% accuracy while detecting credit card fraud on a data set(p > 0.05). Hence AdaBoost is better than XGBoost. Conclusion:After using iterations to get that by using XGBoost algorithm get 93.89% (0.89) and novel AdaBoost algorithm get 94.38% (0.94).So can say that By using the novel AdaBoost algorithm to get more Accuracy than the XGBoost Algorithm.