Random Regression Forest Predictions

This dialog allows you to use a forest from the Random Regression Forest menu to predict the y-values for a new set of values for the X-variables. The variates and/or factors defining the values to be used to form the predictions must be entered into the Values for predictions field. If you use the same set of variables as in the menu, this will give the predictions for the original data set. Then check the boxes for the information that you want to save, and type the names for the identifiers of the data structures into the corresponding In: fields.

Available data

This lists data structures appropriate to the current input field. The contents will change as you move from one field to the next. Double-click a name to copy it to the current input field or you can type the name.

Values for predictions

The values in the new dataset must be entered here. The types and number of structures must match those used to build the forest. You can transfer multiple selections from Available data by holding the Ctrl key on your keyboard while selecting items, then click to move them all across in one action. Items can be removed from this list by selecting them and clicking the button.

Save

The available save options for are as follows:

Predictions

Variate

Saves the predictions for the observations in the values list.

Display in spreadsheet

Select this to display the results in a new spreadsheet window.

Print in output

Select this to display the results in the Output window.