| Predictions spreadsheet
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| Predictions type
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Select the set of predictions to be included in the prediction spreadsheet.
Note: For the
Ensemble and
Standalones and ensemble options to be available:
- When
ANS is selected on the
Specifications - Quick tab, the
Networks to retain (on
Specifications - Quick Specification tab) must be equal to or greater than 2.
- When
CNN is selected on the
Specifications - Quick tab, the
Networks to train (on the
Specifications - Quick Specification tab) must be equal to or greater than 2.
- When
Subsampling is selected on the
Specifications - Quick tab, the
Number of subsamples (on the
Specifications - Subsampling tab) must be equal to or greater than 2.
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| Standalones
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Select this option button to include the predictions for individual networks.
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| Ensemble
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Select this option button to include the predictions for an ensemble of all networks.
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| Standalones and ensemble
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Select this option button to include predictions for the individual networks and an ensemble of all networks.
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| Predictions
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Select this check box to generate a spreadsheet of model predictions. The precise details shown are controlled by the options selected in the Predictions type, Include and Samples group boxes (Samples group box is located on the
Samples tab). Generally speaking, when creating spreadsheets,
SANN always tries to present the results in as much of a compact form as possible. For example, when you create a predictions spreadsheet for a number of active networks,
SANN will normally include the predictions in one single spreadsheet. However, this is only possible when the networks use the same train/test/validation samples, which is always the case for
Automatic Network Search (ANS) and
Custom Neural Networks (CNN) network building strategies. However, since
Subsampling uses different permutations of the data set to create train/test/validation samples for each and every individual network, what constitutes a training case for one network may be a test or validation case (or none of the above) for another. In this case, it is no longer possible to consistently present the network outputs in one single spreadsheet. Therefore, whenever your active networks are created using different samples,
SANN creates a predictions spreadsheet for each individual network plus one more for the ensemble (should you request ensemble outputs). Otherwise, all network and ensemble predictions are placed in one spreadsheet.
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| Include
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Use the options in this group box to (optionally) include additional information in the predictions spreadsheet. Available options are dependent on the network type.
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| Inputs
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Select this check box to include the input variables in the Predictions spreadsheet.
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| Targets
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Select this check box to include the target variables in the Predictions spreadsheet.
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| Output
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Select this check box to include the actual predictions in the Predictions spreadsheet.
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| Accuracy
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Available for classifications type analyses; indicates [Correct/Incorrect] if the predicted category [Target] matches the actual one [Output].
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| Confidence levels
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Select this check box to include the confidence level associated with the selected (or predicted) level of the target.
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| Absolute res
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Select this check box to include the absolute value of the residual in the Predictions spreadsheet, i.e., |observed-predicted|.
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| Square res
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Select this check box to include the squared residual value in the Predictions spreadsheet (observed-predicted)2.
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| Standard res
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Select this check box to include the standardized residuals in the Predictions spreadsheet. Standardized residuals are calculated as (observed-prediction)/std. error of the prediction.
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| Variables
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Select this check box to include an arbitrary selection of variables from the data set in the Predictions spreadsheet. If you select the Predictions check box when this check box is selected, a variable selection dialog box will be displayed, enabling you to select the variables to include in the spreadsheet. Note that this option is only available when there are variables in the data set that have not been used as either inputs or targets.
Options / C / W. See Common Options.
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| OK
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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.
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