Data mine anomalies by performing a descending sort on difference between actual and prediction. Perform graphical data mining by clicking mouse on scatter graph and confusion matrix. While browsing data, rows may be interactively checkmarked for export. While browsing data, rows may be interactively sorted by several fields. While browsing data, rows may be located by field search.
Data normalization is automatic and transparent to the user.
Data report shows minimum, maximum, average and standard deviation for each field. This snapshot allows the completed neural net to be embedded into other programs using the optional NeuNet Pro Developer's Kit . Additional project snapshots may be saved by the user. Performance reports include scatter graph, time series graph and confusion matrix. User may configure up to 18 recent projects to appear on the recent files list.