Relative Analysis of ML Algorithm QDA, LR and SVM for Credit Card Fraud Detection Dataset

The task is to detect fraudulent online purchases such that consumers of credit card companies are not compensated for purchases they have also not purchased. Several machine learning is techniques were used to identify the fraud detection and accuracy of fraud detections has varied based on the data and model design, In this paper, having been worked on evaluating and pre-processing data sources and perhaps even the development of several feature extraction algorithms such as Quadratic Discriminant Analysis (QDA), Logistic Regression (LR) and Support Vector Machine (SVM).