TreeNet® uses gradient boosting to achieve the benefit of boosting (accuracy) without the drawback of a tendency to be misled by bad data. In boosting, each tree grown would normally be a fully articulated stand alone model, with each boosted tree combined with its mates via a weighted voting scheme. In contrast, each TreeNet® component is a small tree, often no larger than two terminal nodes; trees are summed together with very small weights on each component.