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 columns are stored, and the most frequent value is determined from this collection of prediction columns. A new column containing the majority class of all predictions is appended to the output table. The selected prediction columns are appended (depending on the 'Remove individual predictions' option) to the resulting table; all other columns are not part of the output table.

Input ports

1. Type: Table
   Table with prediction columns
   Table winner columns are selected from.

Output ports

1. Type: Table
   Table with all/aggregated predictions
   Table with all prediction columns plus the most frequent value.