Neural Model Options
Each model report has a red triangle menu that contains options for producing additional output or saving results. The model report red triangle menu contains the following options:
Diagram
Shows a diagram representing the hidden layer structure.
Show Estimates
Shows the parameter estimates in a report.
Profiler
Launches the Prediction Profiler. For nominal or ordinal responses, each response level is represented by a separate row in the Prediction Profiler. For more information about the options in the red triangle menu, see “Prediction Profiler Options” in Profilers.
Categorical Profiler
Launches the Prediction Profiler. Similar to the Profiler option, except that all categorical probabilities are combined into a single profiler row. Available only for nominal or ordinal responses. For more information about the options in the red triangle menu, see “Prediction Profiler Options” in Profilers.
Contour Profiler
Launches the Contour Profiler. This is available only when the model contains more than one continuous factor. For more information about the options in the red triangle menu, see “Contour Profiler Platform Options” in Profilers.
Surface Profiler
Launches the Surface Profiler. This is available only when the model contains more than one continuous factor. For more information about the options in the red triangle menu, see “Surface Plot Platform Options” in Profilers.
ROC Curve
(Available only for categorical responses.) Shows or hides the Receiver Operating Characteristic (ROC) plot that contains a curve for each level of the response variable. If you used validation, a plot is shown for each of the training, validation, and test sets. See “ROC Curve”.
Precision Recall Curve
(Available only for categorical responses.) Shows or hides the Precision-Recall Curve plot that contains a curve for each level of the response variable. A precision-recall curve plots the precision values against the recall values at a variety of thresholds. If you used validation, a plot is shown for each of the training, validation, and test sets. See “Precision-Recall Curve”.
Lift Curve
(Available only for categorical responses.) Shows or hides the Lift Curve plot. If you used validation, a plot is shown for each of the training, validation, and test sets. See “Lift Curve”.
Decision Threshold
(Available only for binary categorical responses.) Shows or hides Decision Thresholds reports for the training, validation, and test sets, if specified. Each report contains a graph of the distribution of fitted probabilities for each model, confusion matrices for each model, classification graphs to compare the model fits, and a table of classification accuracy metrics. See “Decision Thresholds Report”.
Plot Actual by Predicted
Plots the actual versus the predicted response. Available only for continuous responses.
Plot Residual by Predicted
Plots the residuals versus the predicted responses. Available only for continuous responses.
Save Formulas
Creates new columns in the data table containing formulas for the predicted response and the hidden layer nodes.
Save Profile Formulas
Creates new columns in the data table containing formulas for the predicted response. Formulas for the hidden layer nodes are embedded in this formula. This option produces formulas that can be used by the Interactive HTML version of the Profiler.
Save Fast Formulas
Creates new columns in the data table containing formulas for the predicted response. Formulas for the hidden layer nodes are embedded in this formula. This option produces formulas that evaluate faster than the other options, but cannot be used in the Interactive version of the Profiler.
Publish Prediction Formula
Creates prediction formulas and saves them as formula column scripts in the Formula Depot platform. If a Formula Depot report is not open, this option creates a Formula Depot report. See “Formula Depot”.
Make SAS Data Step
Creates SAS code that you can use to score a new data set.
Save Validation
Creates a new column in the data table that identifies which rows were used in the training and validation sets. This option is not available when a Validation column is specified on the Neural launch window. See The Neural Launch Window.
Save Transformed Covariates
Creates new columns in the data table showing the transformed covariates. The columns contain formulas that show the transformations. This option is available only when the Transform Covariates option is checked on the Model Launch control panel. See Neural Fitting Options.
Remove Fit
Removes the entire model report.