System and Method for Making Decisions Using Network-Guided Decision Trees With Multivariate Splits

摘要

Disclosed herein is a system and method for splitting data using graph theory with more precision than traditional decision trees, but less work than an exhaustive listing of all possible groups. Accordingly, a set of attributes is found for which corresponding data gives a highest score, the score being a function of data attributes, such as count and purity.