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NodeNode / LoopEnd

Voting Loop End

Analytics Mining Ensemble Learning
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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.

Node details

Input ports
  1. Type: Table
    Table with prediction column
    Table winner column is selected from
Output ports
  1. Type: Table
    Table with all/aggregated predictions
    Table with all prediction column plus the most frequent value

Extension

The Voting Loop End node is part of this extension:

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