0 ×

Voting Loop End

KNIME Ensemble Learning version 4.2.0.v202003221015 by KNIME AG, Zurich, Switzerland

This node defines the loop end in a sequence of models that are applied to a test dataset. In each iteration the selected prediction column is stored and the most frequent value is determined from this collection of prediction columns. A new column with the name of the selected column containing the majority class of all predictions is appended to the output table. The selected prediction columns are appended (depending on 'Remove individual prediction' option) to the resulting table; all other columns are not part of the output table.

Options

Select the winner column
Column that is used to determine the most frequent value.
Remove individual predictions
Removes all prediction columns generated during the loop iterations; only the final, most frequent prediction is append to the input table.

Input Ports

Icon
Table winner column is selected from

Output Ports

Icon
Table with all prediction column plus the most frequent value

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Ensemble Learning Wrappers from the following update site:

KNIME 4.2

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.

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform. Browse NodePit from within KNIME, install nodes with just one click and share your workflows with NodePit Space.

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.