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Adaptive analytics models are self-learning models that work with the FICO® Falcon® Fraud Manager consortium models to improve prediction of future fraudulent behavior. They score transactions based on recent known fraud and non-fraud data, dramatically improving sensitivity to changing fraud patterns. The result is an adaptive model that can boost fraud detection performance by up to 10%, reduce time for fraud account detection and stop new fraud types of fraud attacks.