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.

Options

Target column

The column that contains the real values

Prediction column

The column that contains the predicted values

Input Ports

The result table of a predictor inside the loop

Output Ports

Elimination levels and corresponding error rates and left out columns

The elimination levels as model that can be used in a backward elimination filter node

Best Friends (Incoming)

• Backward Feature Elimination Start (1:1) (22 %) Deprecated
• Regression Predictor (16 %) Deprecated
• Numeric Scorer (6 %) Deprecated
• Gradient Boosted Trees Predictor (5 %) StreamableDeprecated
• K Nearest Neighbor (4 %) StreamableDeprecated
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Best Friends (Outgoing)

• Backward Feature Elimination Filter (79 %) Deprecated
• Scorer (4 %) Deprecated
• Variable Loop End (1 %) Deprecated
• Column Filter (1 %) Streamable
• Data to Report (1 %) 
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Installation

To use this node in KNIME, install KNIME Base nodes from the following update site:

A zipped version of the software site can be downloaded here.

You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Developers

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