DecisionStump (3.6)

Learner

Class for building and using a decision stump. Usually used in conjunction with a boosting algorithm. Does regression (based on mean-squared error) or classification (based on entropy). Missing is treated as a separate value.

(based on WEKA 3.6)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Input Ports

  1. Type: Data
    Training data

Output Ports

  1. Type: Weka 3.6 Classifier
    Trained classifier

Extension

This node is part of the extension

KNIME Weka Data Mining Integration (3.6)

v2.10.2

Short Link

Drag node into KNIME Analytics Platform