Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering

An automated feature engineering based approach to dramatically reduce false positives in fraud prediction, using the Deep Feature Synthesis algorithm to automatically derive behavioral features based on the historical data of the card associated with a transaction.