Voting Loop End

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.

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Workflows

• Tree_EnsemblesKNIME Hub

Links

• voting between multiple classifiersby qqilihq on 2018-06-01

  forum.knime.com/p/43590

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