Arnav Thakur

Temporal Evaluation of Gradient Boosting and Autoencoder Models for Credit Card Fraud Detection

Payment card fraud losses exceeded US$33 billion worldwide in 2022, yet fraud detection models are often summarized by accuracy values that conceal how much fraud they miss. This study compares a Naive Bayes baseline, three gradient boosting libraries (LightGBM, XGBoost and CatBoost), an autoencoder anomaly detector, a...