KNIME Ensemble Learning version 3.6.0.v201805031000 by KNIME AG, Zurich, Switzerland
Together with the corresponding loop start node a boosting loop can be constructed. It repeatedly trains simple models and weighs them according to their classification error. The algorithm used is AdaBoost.SAMME, i.e. is can also cope with multi-class problems. The loop is stopped either after the maximum number of iterations has been reached or the weight for a model is only slightly above 0 (meaning the prediction error is too big).
To use this node in KNIME, install KNIME Ensemble Learning from the following update site: