A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Ryan Michael Murphy explains how creating a system for evaluating service opportunities helped him stop overcommitting.

Probability estimates, such as that 30% chance of a washout in our decision tree example, are typically generated using a chain of cause/effect models/simulations.

The CDC published six "decision trees" Thursday aimed at helping businesses, communities, schools, camps, daycares and mass transit decide whether it's safe to reopen.

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. In 2023 ...

For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, income and political leaning. There are many other techniques for binary ...