Class for performing additive logistic regression
This class performs classification using a regression scheme as the base learner, and can handle multi-class problems.
For more information, see
Hastie, R.Tibshirani (1998).
Additive Logistic Regression: a Statistical View of Boosting.Stanford University.
Can do efficient internal cross-validation to determine appropriate number of iterations.
(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