Model Browser User's Guide    

Global Special Plots

The lower plots in the global level view are referred to as special plots, as they can be different for different models (for example, none at all for neural net models).

The special plot at the global level shows a Predicted/Observed plot. Where there is only one input factor, the plot shows the model fit and the data against the input factor (as in most local model special plots, which often have only one input factor).

For response feature models, each data point is the value taken by this response feature for some local model fit (of this two-stage model). Note that response features are not necessarily coefficients of the local curves, but are always derived from them in some way.

When there is more than one input factor it becomes impossible to display the fit in the same way, so the data for the response feature is plotted against the values predicted by the global model. The line of predicted=observed is shown. With a perfect fit, each point would be exactly on this line. The distances of the points from the line (the residuals) show how well the model fits the data.

To examine the fit in more detail, double-click the arrows (indicated in the figure in Global Level) to hide the scatter plot and expand the lower plot. You can also zoom in on parts of the plot by Shift-click-dragging or middle-click-dragging on the place of interest on the plot. Return to full size by double-clicking.

You can change the lower plot from the Predicted/Observed to a Normal Plot by using the drop-down menu at the top of the plot.


  Global Level Global Scatter Plots