Workspace Node: SANN Regression/Time Series Regression - Results - Details Tab

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

Element Name Description
Summary Select this check box to generate a spreadsheet containing summary details.
Weights Select this check box to produce a spreadsheet of weights and threshold for each model.
Correlation coefficients Select this check box to produce a spreadsheet of correlations coefficients for the target variables (for train, test, and validation samples) using the active neural networks models.
Predictions statistics Select this check box to generate a spreadsheet containing minimum and maximum prediction values, residuals, and standardized residuals for each model. These statistics will be reported for each sample (training, testing, and validation).
Data statistics Select this check box to generate a spreadsheet containing the mean, standard deviation, minimum value, and maximum value for each continuous 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.
Global sensitivity analysis Select this check box to conduct a sensitivity analysis on each model and display the results in a spreadsheet. Sensitivity analysis rates the importance of the models' input variables. You can conduct sensitivity analysis on a per sample basis, using the options in the Samples group box on the Samples tab.
Local sensitivity analysis Select this check box to generate a separate spreadsheet of local (pointwise) sensitivity analysis for each model. Local sensitivity analysis indicates how sensitive the output of a neural network is to a given domain of an input variable. These sensitivity values are actual first-order derivatives evaluated at specific centile points for each input. For each input, the derivative is taken with respect to the target at ten evenly spaced locations with the observed minimum and maximum values serving as end points. Other input variables are set to their means during this calculation. A separate spreadsheet is also generated for each dependent (target) variable as well. You can conduct pointwise sensitivity analysis on a per sample basis, using the options in the Sample group box on the Samples tab. Note that this option is only available for regression analyses with no categorical inputs.

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.