Use this to select different options to be used in constructing the Random Regression Forest and the displayed output.

## Display

Specifies which items of output are to be displayed in the Output window.

Out of bag identifications |
Out of bag identifications of the groups |

Out of bag error |
Out of bag error (the square root of the mean of the squared differences of the predictions from the values in the response variate) |

Importance of X-variables |
The importance of the X-variables in the selected trees in the forest |

Ordered importance |
The importance of the X-variables displayed in decreasing order |

Monitoring |
Monitoring information during the construction process |

## Random forest generation

The following four settings control how the random forest is generated.

## Number of trees in forest

Specifies the number of random trees to form in the forest. Using a larger value may improve the precision, but will take longer to generate.

## Number of Xs to select at random

Specifies the number of variables to select randomly from the X-variables list on the main menu for each tree. This must be a positive number less than the number of variables.

## Number of units to select at random

Specifies the number of units to select randomly from the observations for each tree. A usual choice would be a value corresponding to between %50 and 90% of the observations, with a typical value being 67%. This must be a positive number less than the number of observations in the variables.

## Seed for random number generation

This gives a seed to initialize the random number generation used for the random selections of variates and units. Using zero initializes this from the computer’s clock, but specifying an nonzero value gives a repeatable analysis.

## Mean square value to stop splitting

Specifies the limit on the mean square of the observations at a node at which to stop making splits.

## Number of individuals to stop splitting

Specifies the limit on the number of individuals in a group at which to stop selecting tests.

## X-variable factor levels ordered

Specifies whether the x-variable factor levels are ordered.

## See also

- Random Regression Forest menu.
- Random Regression Forest Further Output dialog.
- Random Regression Forest Save dialog.
- Random Regression Forest Predict dialog.
- Random Classification Forest menu.
- Classification Trees menu.
- Regression Trees menu.
- BRFOREST procedure.