SANN - Results

Click the Train button or Go to results button in either the SANN - Automated Network Search (ANS) dialog box or the SANN - Custom Neural Network dialog box to display the SANN - Results dialog box. In addition to the options described below, this dialog box can contain several tabs depending on the analysis type. These tabs include Predictions, Graphs, Details, Custom predictions, Lift charts (only for classification problems); Predictions (Kohonen), Graphs (Kohonen), and Kohonen Graph (only for cluster problems); and Time Series (only for time series problems).

Option Description
Active neural networks The grid in the Active neural networks group box provides a quick view of the networks you have created for modeling your data. Note that if you have not trained any networks or if you have not selected any active networks, this grid remains empty.
Model details See network data grid section for a detailed description.
Select\Deselect active networks Displays the Model activation dialog box, where you can select the networks that you want to display in the Active neural networks grid. When you click OK in the Model activation dialog box, the Active neural networks grid only displays the selected networks. Note that when a network is deselected in the Model activation dialog box, it is not displayed in this grid (as it is inactive); however, it is still available for future selection. To select unwanted networks for deletion, click the Delete networks button.
Delete networks Displays the Model deletion dialog box, where you can select networks to be completely removed from all results. After you select a network and click the OK button in the Model deletion dialog box, you are prompted to verify the deletion and then the network is discarded. If you want to remove the selected networks from the Active neural networks grid while still maintaining them for future selection, use the Select\Deselect active networks option.
Build more models with CNN Displays the SANN - Custom Neural Network dialog box and use the options to build additional models.
Build more models with ANS Displays the SANN - Automated Network Search (ANS) dialog box and use the options to build additional models.
Summary Generates a spreadsheet containing the summary details listed in the Active neural networks grid box. Note that if the Active neural networks grid is empty, this button is not available.
Data statistics Generates a spreadsheet containing the mean, standard deviation, minimum value, and maximum value for each continuous variable in the analysis. These data statistics are broken down by each sample (training, testing, and validation) and also reported for the overall data set.
Save networks Note that, according to which analysis was selected in the Startup Panel, this drop-down list might not contain all the following commands. Click this button to display a drop-down list containing the following commands:
  • PMML: Displays the Save PMML file dialog box, which contains options to store the active networks for future use. Note that this dialog box is displayed only when the Active neural networks grid contains networks. Stored PMML networks can be opened by clicking the Load network files button in the SANN - New Analysis/Deployment Startup Panel.
  • C/C++: Click this command to display the Save C file dialog box, which contains options to store the active networks for future use.
  • C#: Generates code as C#.
  • Java: Generates code in Java script.
  • SAS: Displays the Save SAS file dialog box, which contains options to save deployment code for the created model as SAS code (a .sas file).
  • SQL stored procedure in C#: Generates code as a C# class intended for use in a SQL Server user-defined function.
  • SQL User Defined Function in C#: Generates code as a C# class intended for use as a SQL Server user-defined function.
  • Teradata: Generates code as C Computer language function intended for use as a user-defined function in a Teradata querying environment.
  • Deployment to Statistica Enterprise: Deploys the results as an Analysis Configuration in Statistica Enterprise. Note that appropriately formatted data must be available in a Statistica Enterprise Data Configuration before the results can be deployed to an Analysis Configuration.
Cancel Exits the SANN - Results dialog box and returns to the previous dialog box. Any selections made are ignored.
Options Displays the Options menu.
Samples Use the options in this group box to select the samples to use when displaying results. The Missing check box is only enabled if the data contains cases where all the inputs are present but the targets are missing. Note that this option is never available for time series analysis. Other sub samples are specified using the options on the Sampling tab of the SANN - Data selection dialog box. Note that some results (such as the Summary spreadsheet) provide information for all subsets regardless of the selections made here.
Train Select this check box to include the cases assigned to the training sample when displaying graphs and spreadsheet.
Test Select this check box to include the cases assigned to the test sample when displaying graphs and spreadsheet.
Validation Select this check box to include the cases assigned to the validation sample when displaying graphs and spreadsheet.
Missing Select this check box to generate certain results (like predictions) for cases in which all the inputs are present but one or more output (target) values are missing. Note that this check box is only available when casewise deletion of missing data has been used. For times series analysis this option is never available.
All missing cases in SANN are grouped together to form a sample called the missing sample Trains the hidden units of RBF networks and to make predictions for MLP or RBF networks. When a data case falls into the missing sample category, only the network outputs are available. In other words, there are no residuals since one or more targets is not available.