Decision trees are major components of finance, philosophy, and decision analysis in university classes. Yet, many students ...

Business owners have to make decisions every day on issues fraught with uncertainty. Information is not perfect, and the best choice is not always clear. One way to handle these vague situations is to ...

You can use decision trees to guide you in deciding among several alternatives. The decision-tree method allows you to approach the problem in a structured and systematic way to arrive at a logical ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Junior faculty are often told to protect their time, but nobody provides instructions for how to do so. As an assistant professor at a public university, I have struggled to balance my course load, my ...

The two main downsides to decision trees are that they often don't work well with large datasets, and they are highly susceptible to model overfitting. When tackling a binary classification problem, ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...