Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

After the first split, the decision tree algorithm examines each of the two subsets of data and finds a predictor variable and a value that gives the most information. The process continues until a ...

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 ...