This section describes details specific to the Boosted Tree Platform. For statistical details about recursive decision trees, see Statistical Details for the Partition Platform.
When the response is categorical, a parametric penalty is imposed. For each layer, the estimates minimize the negative log-likelihood plus the penalty value multiplied by the sum of squares of the estimates for each observation. This penalty encourages each new layer not to overfit the training data.