LogitBoost (3.7)

Learner

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

Extension

This node is part of the extension

KNIME Weka Data Mining Integration (3.7)

v4.0.0

Short Link

Drag node into KNIME Analytics Platform