Decision tree regression is a machine learning technique . To predict the output y for an input vector X, the tree structure encodes a set of if-then rules such as, "If the value of X at index [2] is ...

Mike Westervelt, CPA, is chair of the AICPA Accounting and Review Services Committee (ARSC), and he joins this episode of the JofA podcast to discuss the committee’s role in assisting members. Neil ...

As a useful starting point, we recommend use of Stanford University's Export Controls Decision Tree, which has been widely adopted as a national standard by US academic institutions. We appreciate ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex (male or female), age, ...