High-fidelity prediction with trust regions

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more tangible storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• identifying a data set;
• partitioning the data set into two or more clusters;
• creating two or more disjoint polytopic regions in a multi-dimensional space, wherein a cluster from the two or more disjoint polytopic regions corresponds to a trust region from the two or more polytopic regions;
• training a machine learning model based on the two or more disjoint polytopic regions;
• and
• drawing a conclusion based on the trained machine learning model.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor capable of performing a method, the method comprising:
• identifying a data set;
• partitioning the data set into two or more clusters;
• creating two or more disjoint polytopic regions in a multi-dimensional space, wherein a cluster from the two or more disjoint polytopic regions corresponds to a trust region from the two or more polytopic regions;
• training a machine learning model based on the two or more disjoint polytopic regions;
• and
• drawing a conclusion based on the trained machine learning model.