NodeDecisionStump (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. Training data Type: Data
    Training data

Output ports

  1. Trained classifier Type: Weka 3.6 Classifier
    Trained classifier