US Patent 12020257 Generating a fraud prediction utilizing a fraud-prediction machine-learning model

This disclosure describes an intelligent fraud detections system that, as part of an inter-network facilitation system, can intelligently generate fraud predictions for digital claims to improve accuracy and efficiency of network-transaction security systems. For example, the disclosed systems can utilize a fraud detection machine-learning model to generate a fraud prediction for a digital claim disputing a digital transaction. Indeed, the disclosed systems can identify features of a digital claim and, based on those features, utilize a fraud detection machine-learning model to generate a fraud prediction for the digital claim. Additionally, based on the fraud prediction, the disclosed systems can perform authorizing, remedial, or other actions with regard to the digital claim.