           )
 
         # TODO Mega-hack alert. Last arg thresholdsAndCriteria applicable only to ROC charts for binomial models.
-        renderPlot 'ROC Curve - Training Metrics', no, plotter, getThresholdsAndCriteria _model, 'output - training_metrics - Maximum Metrics'
+        renderPlot "ROC Curve - Training Metrics#{getAucAsLabel _model, 'output - training_metrics'}", no, plotter, getThresholdsAndCriteria _model, 'output - training_metrics - Maximum Metrics'
 
       if table = _.inspect 'output - validation_metrics - Metrics for Thresholds', _model
         plotter = _.plot (g) ->

    help: help
    isModified: default_value is actual_value


  getThresholdsAndCriteria = (model, tableName) ->
    if criterionTable = _.inspect tableName, _model

            g.domainY_HACK 0, 1
          )
        # TODO Mega-hack alert. Last arg thresholdsAndCriteria applicable only to ROC charts for binomial models.
        renderPlot "ROC Curve - Validation Metrics#{getAucAsLabel _model, 'output - validation_metrics'}", no, plotter, getThresholdsAndCriteria _model, 'output - validation_metrics - Maximum Metrics'

      if table = _.inspect 'output - Standardized Coefficient Magnitudes', _model
        renderPlot 'Standardized Coefficient Magnitudes', no, _.plot (g) ->
