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.
- Type: Data Training data
- Type: Weka 3.7 Classifier Trained model
Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > trees
Make sure to have this extension installed: