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Deprecated**KNIME Base Nodes** version **4.2.2.v202009011342** by **KNIME AG, Zurich, Switzerland**

This is the start node of a backward feature elimination loop. The first iteration of the loop is executed
with all input columns. In the next
*n - 1*
iterations each of the input columns - except the target column, that must be selected in the dialog - is
left out once. Then the end node will discard the column that influenced the prediction result the least.
Then
*n - 2*
iterations follow where each of the remaining columns is left out once, and so on. The total number of
iterations is therefore
*n * (n + 1) / 2 - 1*.

The backward feature elimination loop can handle arbitrary target column, for numerical columns the squared
error is taken as quality measure, for all other columns the error rate (i.e. the fraction of rows for which
target and prediction column have different values).

This node differs from the 1-port node in that it has actually two ports on both sides.
This makes it easier to feed training and test data into the flow.

- Any datatable that contains at least three columns (Trainingdata)
- Any datatable that contains at least three columns (Testdata)

- The input table with some columns filtered out (Trainingdata)
- The input table with some columns filtered out (Testdata)

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- Parameter Mutual Information (6 %)
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- PNN Learner (DDA) (6 %)
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To use this node in KNIME, install KNIME Base nodes from the following update site:

KNIME 4.2

A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.

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