PMML Gradient Boosted Trees Predictor

Applies classification from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possible to load models that were learned on a bit-, byte- or double-vector column and then written to PMML because PMML does not support vector columns. 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.

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Workflows

• 05_Gradient_Boosted_TreesKNIME Hub
• 05_Gradient_Boosted_TreesKNIME Hub
• 05_Gradient_Boosted_TreesKNIME Hub
• KNIME_project 1KNIME Hub
• titanic 2KNIME Hub
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