The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at http://knime.com.
The idea of delegating is to build a new model only for data points being incorrectly classified/predicted by the model. Hence, a collection of models is achieved. The loop start therefore is initialized with the whole data. The loop end node receives only wrongly classified data in each iteration. This will be passed back to the loop start, which outputs the data again, until no more data points are inserted to the loop end.
0 | The data table. |
0 | The data passed to the loop end. |