Gradient Boosted Trees Predictor

StreamableDecisions Tree Ensembles for KNIME version 3.7.0.v201811231518 by KNIME AG, Zurich, Switzerland

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 .

Options

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

Best Friends (Incoming)

• Partitioning (100 %) Manipulator

Installation

To use this node in KNIME, install Decisions Tree Ensembles for KNIME from the following update site: