Methods and systems for automatic selection of classification and regression trees
AssigneeHealth Care Productivity, Inc.
InventorDan Steinberg
Life of this patent
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AssigneeHealth Care Productivity, Inc.
InventorDan Steinberg
Estimating the term…
The present invention provides a method and system for automatically identifying and selecting preferred classification and regression trees. The invention is used to identify a specific decision tree or group of trees that are consistent across train and test samples in node-specific details that are often important to decision makers. Specifically, for a tree to be identified as preferred by this system, the train and test samples must both agree on key measures for every terminal node of the tree. In addition to this node-by-node criterion, an additional tree selection method may be imposed. Accordingly, the train and test samples rank order the nodes on a relevant measure in the same way. Both consistency criteria may be applied in a fuzzy manner in which agreement must be close but need not be exact.
A computer-implemented method for automatically selecting a preferred tree among a plurality of trees, comprising:
A system for automatically selecting a preferred tree among a plurality of trees, comprising:
Dependencies are inferred from the claim text.