DecisionStump (3.7)

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 3.7)

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 3.7 Classifier Trained model

Find here

Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > trees

Make sure to have this extension installed: