JMP 14.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
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Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13.2 Online Documentation
Predictive and Specialized Modeling
•
Boosted Tree
• Statistical Details for the Boosted Tree Platform
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Statistical Details for the Boosted Tree Platform
This section describes details specific to the Boosted Tree Platform. For details about recursive decision trees, see
Statistical Details for the Partition Platform
in Partition Models
.
Overfit Penalty
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.
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Help created on 3/19/2020