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Feature Selection Filter

KNIME Base Nodes version 4.0.2.v201909251340 by KNIME AG, Zurich, Switzerland

This node takes a model built with a feature selection loop as input and lets you choose the subset of columns you want to include in the output table. The dialog shows all computed subsets together with their scores. You can select a subset manually or specify a score threshold. If you specify a threshold, the smallest features set whose score meets the threshold requirement is selected. If the "Minimize Score" option was checked in the Feature Selection Loop End node, this is the smallest feature set with a score below the specified threshold; if the "Minimize Score" option was left unchecked in the Feature Selection Loop End node, this is the smallest feature set with a score above the specified threshold.

Options

Include static columns
If this option is checked, any static columns are included in the output table, otherwise they are filtered out.
Select features manually
By selecting this option you can choose a set of features in the table below.
Select features automatically by score threshold
By selecting this option you can set a prediction score threshold.
Prediction score threshold
Enter a prediction score threshold here. The smallest feature set with a score below the specified threshold (if the score is to be minimized) or above the specified threshold (if the score is to be maximized) is selected.
Feature set table
The feature sets are listed on the right side, their scores and the number of features in these sets on the left side. Clicking on a score on the left side highlights the corresponding feature set on the right side.

Input Ports

A feature selection model
Any data table that should contain the same columns as used in the selection loop

Output Ports

The input table with some columns filtered out

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

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

KNIME 4.0
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Developers

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