Credit Card Fraud Detection Using Machine Learning Classification Techniques

Key Points

• The central aim is to assess the effectiveness of machine learning classification techniques in detecting credit card fraud.
• Analyzed various machine learning algorithms for fraud detection.
• Utilized a dataset of credit card transactions for evaluation.
• Conducted performance comparisons based on accuracy and reliability.
• Identified the most effective classification techniques for fraud detection.
• Achieved higher accuracy in detecting fraudulent transactions compared to traditional methods.

Abstract