About this document
Credit Card Fraud Detection Using Machine Learning Algorithms by boobeashb is a document available to read on EtoBox.
The document discusses the use of machine learning algorithms for credit card fraud detection, focusing on the challenges posed by imbalanced datasets. It highlights the effectiveness of oversampling techniques, particularly SMOTE, in generating synthetic minority class samples to improve classification accuracy. The authors compare various algorithms, including Random Forest and SVM, and emphasize the importance of performance metrics like Recall and AUC in evaluating model effectiveness.
- Author
- boobeashb
- Language
- EN