Gradient Boosted Trees Predictor0 ×
StreamableDecisions Tree Ensembles for KNIME version 3.6.0.v201807031236 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
Update Site
To use this node in KNIME, install Decisions Tree Ensembles for KNIME from the following update site:
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