Select the *Predictions
(Kohonen) *tab of the *SANN
- Results* dialog box to access the options described here. This
tab is only available for cluster analysis models. For information on
the options that are common to all tabs, see *SANN - Results*.

**Predictions spreadsheet.** Use the options
in this group box to configure and display the predictions spreadsheet.
The variables and cases contained in the spreadsheet are dependent on
selections made in the *Include*
group box (see below) and the *Sample*
group box.

**Include.** Use the options
in this group box to (optionally) include additional information in the
predictions spreadsheet.

*Inputs.*
Select this check box to include the input variables in the *Predictions*
spreadsheet.

*Winning neuron position.* Select this check box to include
the winning neuron position in the *Predictions*
spreadsheet.

*Winning neuron activation.* Select
this check box to include the winning neuron activations in the *Predictions*
spreadsheet. The activation of a neuron is the Euclidean distance between
the input and weight vectors of the neuron. This check box is selected
by default.

*Variables.* Select this
check box to include an arbitrary selection of variables from the data
set in the *Predictions* spreadsheet.
If you click the *Predictions*
button when this check box is selected, a variable selection dialog box
will be displayed, enabling you to select the variables to include in
the spreadsheet. Note that this check box is only enabled if there are
variables in the data set that have not been used in the analysis.

**Predictions.**
Click the *Predictions* button
to display the predictions spreadsheet for each active model. The precise
details shown in the spreadsheet are controlled by the options selected
in the *Include* group box and
selections made in the *Sample*
group box.

**Weights.** Click the *Weights*
button to display a spreadsheet of weights for each model in the *Active
neural networks* grid.

**Data statistics.** Click the *Data
statistics* button to generate a spreadsheet containing the mean, standard
deviation, minimum value and maximum value for each variable in the analysis.
These data statistics will be broken down by each sample (training, testing,
and validation) and also reported for the overall data set.

**Single predictions.** Use the options
in this group box to view the activations for a single data case.

**Datacase.** Enter a
number in this box to specify a case from the data set. The case is fed
as input to the network.

**Activations.** Click
the *Activations* button with
the spreadsheet icon to generate a results spreadsheet of activations
for the currently selected case.

**Activations.**
Click the *Activations *button
with the graph icon to plot a bivariate histogram of the activations for
the currently selected case.

**Frequencies.** Click the*
Frequencies* button to plot a bivariate histogram of topological frequencies
for each active model. Note that the cases used in the bivariate histogram
are determined by selections in the *Sample*
group box.

**Frequency.** Click the *Frequency
*button to display a spreadsheet of topological frequencies for the
active models. The results in the spreadsheet can be broken down by samples
(or combinations of samples) using the options in the *Sample*
group box.