The Bootstrap Forest platform is available only in JMP Pro.
The Bootstrap Forest platform fits an ensemble model by averaging many decision trees each of which is fit to a bootstrap sample of the training data. Each split in each tree considers a random subset of the predictors. In this way, many weak models are combined to produce a more powerful model. The final prediction for an observation is the average of the predicted values for that observation over all the decision trees.
Figure 5.1 Example of a Cumulative Validation ReportĀ