LogitBoost (3.7)


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

J.Friedman, T.

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.

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 > 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

How to install extensions