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).

Options

Change prediction column name
Select to customize the name of 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 certain the model is about its prediction.
Append individual class probabilities
Appends for each possible class a column containing the probability that the given row is an element of this class.
Suffix for probability columns
Suffix appended to the column names containing class probabilities.

Input Ports

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

Output Ports

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The predicted data.

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