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 ...
Starting with all 200 training items, the decision tree algorithm scans the data and finds the one value of the one predictor variable that splits the data into two sets in such a way that the most ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback