Category classification system for feature contribution scores
AssigneeBusiness Objects Software Ltd.
InventorPaul O'Hara
Life of this patent
Estimating the term…
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AssigneeBusiness Objects Software Ltd.
InventorPaul O'Hara
Estimating the term…
A system may obtain a plurality of historical feature contribution score (FCS) datasets, each historical FCS dataset comprising a first plurality of feature contribution scores and a size of the historical FCS dataset. The system may apply default feature contribution category classification (FCCC) parameters to the plurality of historical FCS datasets and may optimize the default FCCC parameters to produce a plurality of optimized FCCC parameters. The system may produce a training dataset comprising the optimized FCCC parameters and use the training dataset to train a machine learning model to apply the category classification labels. The system may apply the new FCS dataset to the machine learning model, the new FCS dataset comprising a second plurality of feature contribution scores and a size of the new FCS dataset, and provide the category classification labels for the new FCS dataset to a user interface.
One or more non-transitory computer-readable media storing computer-executable instructions that, when executed by at least one processor, perform a method for applying category classification labels to a new feature contribution score dataset, the method comprising:
A method for applying category classification labels to a new feature contribution score dataset, the method comprising:
A system for applying category classification labels to a new feature contribution score dataset, the system comprising:
Dependencies are inferred from the claim text.