Deploying XGBoost for Credit Card Fraud Detection on Serverless Cloud Infrastructure: A Practical Evaluation of Latency, Cost, and Scalability
In this paper, the practical usage of fraud detection models on a serverless cloud platform is considered, focusing on improving the current state in terms of reporting latency, cost per inference, and auto-scaling behavior, compared to lab experiments. Three machine learning models such as Logistic Regression, Random...