发明名称 DECISION TREE MACHINE LEARNING
摘要 Embodiments may include machine learning, including decision tree machine learning. Predictive variables may be selected for the machine learning through an iterative process. Predictive power of the predictive variables and collinearity between the predictive variables may be considered when selecting a set of the predictive variables for the machine learning.
申请公布号 US2016155070(A1) 申请公布日期 2016.06.02
申请号 US201615018345 申请日期 2016.02.08
申请人 Accenture Global Services Limited 发明人 Hoover James;MILLER Jeffrey Scott
分类号 G06N99/00;G06N5/04;G06Q30/02 主分类号 G06N99/00
代理机构 代理人
主权项 1. A machine learning decision tree system comprising: a data storage storing data to be classified; and at least one processor to: receive a model building data set including data from at least one data source;generate a decision tree classifier from the model building data set;test the decision tree classifier on a validation data set; andclassify, by the tested decision tree classifier, the data in the data storage.
地址 Dublin IE