International Business Machines Corporation
OPTIMAL INTERPRETABLE DECISION TREES USING INTEGER LINEAR PROGRAMMING TECHNIQUES
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Abstract:
Aspects of the invention include an optimal interpretable decision tree using integer linear programming techniques. A non-limiting example computer-implemented method includes receiving, using a processor, a plurality of data inputs from a process and selecting, using the processor, a data subset from the plurality of data inputs by solving linear programming to obtain a solution. The method builds and optimizes, using the processor, an optimal decision tree based on the data subset and alerts, using the processor, a user when a prediction of the optimal decision tree is greater than a threshold value.
Status:
Application
Type:
Utility
Filling date:
21 Feb 2020
Issue date:
26 Aug 2021