Tree Ensemble Predictor

Predicts patterns according to a majority vote in a tree ensemble model.

Options

Tree Ensemble Prediction

Name of the output column containing the prediction.

Append overall prediction confidence

The confidence of the predicted class. It is the maximum of all confidence values (which can be appended separately).

Append individual class confidences

For each class the prediction confidence. It's the number of trees predicting to the current class (as per column name) divided by the total number of trees.

Input Ports

The output of the learner.

Data to be predicted.

Output Ports

Input data along with prediction columns.

Best Friends (Incoming)

• Tree Ensemble Learner (71 %) Deprecated
• Model Reader (3 %) Deprecated
• Random Forest Learner (2 %) Deprecated
• File Reader (2 %) Streamable
• Column Filter (1 %) Streamable
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Best Friends (Outgoing)

• Scorer (44 %) Deprecated
• ROC Curve (local) (14 %) 
• X-Aggregator (14 %) 
• Column Filter (6 %) Streamable
• Boosting Learner Loop End (3 %) 
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Workflows

• 01_​Model_​Selection_​Sampled (KNIME Hub) 

Installation

To use this node in KNIME, install KNIME Ensemble Learning Wrappers from the following update site:

A zipped version of the software site can be downloaded here.

You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Developers

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