AdaBoostM1 (3.6)

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 3.6)

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 3.6 Classifier
    Trained classifier

Extension

This node is part of the extension

KNIME Weka Data Mining Integration (3.6)

v2.10.2

Short Link

Drag node into KNIME Analytics Platform