AdaBoostM1 (3.7)

Learner

Class for boosting a nominal class classifier using the Adaboost M1 method

Only nominal class problems can be tackled.Often dramatically improves performance, but sometimes overfits.

For more information, see

Yoav Freund, Robert E.

Schapire: Experiments with a new boosting algorithm.In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.

(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