Boosted Trees Members

The idea of Boosted Trees in Data Mining is to build a sequence of simple trees, weighting them inversely by misclassification. The final classification for deployment is based on voting from these simple trees.

Note: Learn more about the object model by reading Statistica user documentation. The Statistica application's user interface and object model have similar options. The documentation contains overviews of the analytics, descriptions of the input and outputs for the analyses, and step-by-step examples.