Abstract: Methods, systems, and computer programs, for predicting a likely outcome for an entity. A method includes obtaining a first data structure that includes data that represents a transaction, determining a similarity level of the transaction to each of a plurality of categories, determining a transaction category based on the determined similarity level, generating an input data structure that includes data representing (i) at least a portion of the data representing the transaction, and (ii) data describing the determined category, providing the input data structure to a predictive algorithm trained to determine a value that represents a likely outcome for an entity that initiated a transaction, obtaining output generated by the predictive algorithm based on the predictive algorithm's processing of the input data structure, the output including a value that represents a likely outcome for the entity, and determining a likely outcome for the entity based on the obtained output.

Abstract: Methods, systems, and computer programs, for predicting a likely outcome for an entity. A method includes obtaining a first data structure that includes data that represents a transaction, determining a similarity level of the transaction to each of a plurality of categories, determining a transaction category based on the determined similarity level, generating an input data structure that includes data representing (i) at least a portion of the data representing the transaction, and (ii) data describing the determined category, providing the input data structure to a predictive algorithm trained to determine a value that represents a likely outcome for an entity that initiated a transaction, obtaining output generated by the predictive algorithm based on the predictive algorithm's processing of the input data structure, the output including a value that represents a likely outcome for the entity, and determining a likely outcome for the entity based on the obtained output.