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Random Classification Forest Identifications

This dialog allows you to use a forest from the Random Classification Forest menu to identify the groups for a new set of values for the X-variables. The votes of an observation belonging to the various groups can also be stored in matrix. The variates and/or factors defining the values to be used to form the identifications must be entered into the Values for identifications field. If you use the same set of variables as the in menu, this will give the identifications 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 identifications

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.


The available save options for are as follows:

Identifications Factor Saves the identifications (predicted group) of the observations in the values list.
Votes for each group Matrix Saves the votes from the individual trees in the forest of an observation belonging to each group.

Display in spreadsheet

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

Select this to display the results in the Output window.

See also

Updated on February 8, 2023

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