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.
This node takes a model built with a feature elimination loop and lets you choose the column you want to
include in the output table. The dialog will show you all computed levels of the feature elimination
together with the error rates. You may then either select one level ("manual selection") or you specify an
error threshold and then the level with the fewest features that has a prediction error below the threshold
is automatically selected. In any case all columns from the input table that are not present in the selected
level are filtered from the input table.
You may optionally include the target column. Note that the column names must be the same as the ones used for the
elimination loop. If they are not, rename them first.
0 | A backward feature elimination model |
1 | Any datatable that should contain the same columns as used in the elimination loop |
0 | The input table with some columns filtered out |