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 .

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

• 01_AnalyticsKNIME Hub
• 01_Model_Deployment_file_to_database_schedulingKNIME Hub
• 01_Rest_API_Sentiment_PredictionKNIME Hub
• 01_Rest_API_Sentiment_Prediction_AshKNIME Hub
• 02_Model_BuildingKNIME Hub
• Show all 10 workflows

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Developers