Workspace Node: SANN Regression/Classification/Time Series - Results - Samples Tab

In the SANN Regression, SANN Classification, SANN Time Series (Regression), or SANN Time Series (Classification) node dialog box, under the Results heading, select the Samples tab to access the following options.

Element Name Description
Samples Use the options in this group box to specify 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. Other sub samples are specified using the options on the Specifications - Sampling (CNN and ANS) tab. 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 (e.g., 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.

All missing cases in SANN are grouped together to form a sample called the missing sample. It is used to train 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.

Options / C / W. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project.