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.

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