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.

Backward Feature Elimination End

This is the end node of a backward feature elimination loop. It compares the target column with the prediction column set in the node's dialog. For numerical columns the squared error is computed, for all other columns the error rate. The column that caused the smallest error when left out is then discarded for the next iteration.
The node's output table shows the error for the different levels of the elimination process, and the column that has been excluded in the level.

Dialog Options

Target column
The column that contains the real values
Prediction column
The column that contains the predicted values

Ports

Input Ports
0 The result table of a predictor inside the loop
Output Ports
0 Elimination levels and corresponding error rates and left out columns
1 The elimination levels as model that can be used in a backward elimination filter node
This node is contained in KNIME Base Nodes provided by KNIME GmbH, Konstanz, Germany.