Dynamically retraining a prediction model based on real time transaction data

摘要

Various embodiments of systems and methods to dynamically retrain prediction models based on real time transaction data are described herein. In one aspect, real time application data and status data associated with an entity are obtained. The obtained application data is inputted to a prediction model to produce an assessment of a risk. The obtained status data with the assessed risk are compared. When the obtained payment status data does not match the determined risk, the prediction model is retrained.