| CPC G06F 16/256 (2019.01) [G06F 16/217 (2019.01); G06N 20/20 (2019.01); G06Q 50/16 (2013.01)] | 17 Claims |
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1. A computer-implemented method comprising:
obtaining input data associated with a subject property;
enriching the input data;
applying a plurality of sub-models to the enriched input data to generate a plurality of sub-model outputs, wherein the plurality of sub-model outputs comprise estimations of the subject property value generated using different approaches;
predicting an error of each of the plurality of sub-model outputs based on the estimations;
determining a use case of an ensemble model;
determining a plurality of weights, wherein each weight is associated with one of the plurality of sub-model outputs, and wherein each weight is based in part on an accuracy of the respective sub-model output for the use case; and
applying as an input to the ensemble model the plurality of sub-model outputs, the plurality of weights, and the predicted error of each of the plurality of sub-model outputs, wherein application of the inputs to the ensemble model causes the ensemble model to combine the plurality of sub-model outputs into a final estimate of subject property value based on the use case.
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