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
Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > meta
Make sure to have this extension installed:
KNIME Weka Data Mining Integration (3.7)
Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site