SYSTEM AND METHOD FOR PREDICTION USING SYNTHETIC FEATURES AND GRADIENT BOOSTED DECISION TREE

摘要

A machine learning system and method are disclosed in which a plurality of synthetic features are created from input data, and a gradient boosted decision tree algorithm is then executed by the computer to process both the synthetic features and at least some of the input data to produce an output that is a probability.