Gradient Boosted Trees Predictor

Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function Approximation: A Gradient Boosting Machine" by Jerome H. Friedman (1999)". For more information you can also take a look at this .


Change prediction column name
Check this option if you want to use a custom name for the column containing the prediction
Prediction column name
Name of the output column containing the prediction.
Append overall prediction confidence
Appends a column that contains information on how the certain the model is about its prediction.
Append individual class probabilites
Appends for each possible class a column containing the probability that the given row is an element of this class
Suffix for probability column
Allows to add a suffix for the class probability columns.

Input Ports

Gradient Boosted Trees model as produced by the Gradient Boosted Trees Learner node.
The data to predict

Output Ports

The predicted data


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