Aim: The main aim of the research is to detect Credit Card Fraud using Logistic Regression (LR)compared with the Novel Random Forest (RF). 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 logistic Regression Algorithm, Novel Random Forest Algorithm Based on the Previous Collected Datasets can Predict the Upcoming credit card fraud With Calculations. Result: Comparison is done by using SPSS Software.The Logistic Regression algorithm produces 83.5% whereas Random forest algorithm produces 94.89% accuracy while detecting credit card fraud on a data set (p > 0.05). Hence Random forest is better than Logistic Regression. Conclusion: After Using iterations get that by using logistic Regression algorithm get 83.5% (0.83) and novel Random Forest algorithm get 94.89% (0.94).So can say that By using the novel Random Forest Algorithm get more Accuracy than logistic Regression Algorithm.