Patent ID: 11928562
Assignee: BUSINESS OBJECTS SOFTWARE LTD
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A method comprising:
training a first predictive model comprising a network of neurons forming a directed and weighted graph based on input training records and target values respectively corresponding to each of the input training records, to generate a trained first predictive model;
assigning a model region to each of the input training records based on the trained first predictive model and the input training records, where each of the model regions represents a respective mapping of the trained first predictive model from a respective space of input values to a respective space of predicted values;
training a classification model based on the model regions assigned to each of the input training records;
generating enhanced input training records by, for each model region, adding derived values of region-specific engineered features to the input training records assigned to the model region and default values of the region-specific engineered features to the input training records not assigned to the model region; and
training a second predictive model based on the enhanced input training records and the target values.