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

Claim 4:
5. A method comprising:
inputting data records to a first trained predictive model comprising a network of neurons forming a directed and weighted graph to obtain a predicted value associated with each input data record;
from a plurality of model regions of the first trained predictive model, determining a model region associated with each of the input data records based on the first trained predictive model, the input data records and the predicted values, wherein each of the plurality of model regions of the first trained predictive model represents a respective mapping of the first trained predictive model from a respective space of input values to a respective space of predicted values;
generating enhanced input data records by, for each model region, adding derived values of engineered features associated with the model region to input data records associated with the model region and default values of the engineered features associated with the model region to input data records not associated with the model region; and
inputting the enhanced input data records to a second trained predictive model to obtain an enhanced predicted value associated with each input data record.