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

In the SANN Classification or SANN Time Series (Classification) 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 the summary details.
Weights Select this check box to generate a spreadsheet of weights and threshold for each model.
Confusion matrix Select this check box to generate a confusion matrix and classification summary for the categorical target. A confusion matrix gives a detailed breakdown of misclassifications. The observed class is displayed at the top of the matrix, and the predicted class down the side; each cell contains a number showing how many cases that were actually of the given observed class were assigned by the model to the given predicted class. In a perfectly performing model, all the cases are counted in the leading diagonal. A classification summary gives the total number of observations in each class of the target, the number of correct and incorrect predictions for each class, and the percentage of correct and incorrect predictions for each class. This information is provided for each active network. Only the samples selected in the Samples group box (e.g., Train) will be used in generating the two spreadsheets (the Samples group box is located on the Samples tab).
Confidence levels Select this check box to generate a spreadsheet of confidence levels for each case in the sample selected in the Samples group box. Confidence levels will be displayed for each model. You can specify which cases to include in the spreadsheet using the options in the Samples group box.
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 Sample group box.

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.