Adaptive Bayes Network Settings
There are two kinds of settings for an Adaptive Bayes Network model:
When you are done, click OK to close the dialog and save any changes.
General Options
These options apply to any algorithm that has a target. You can specify:
- Accuracy Type: Either Maximum Overall Accuracy, the default, or Maximum Average Accuracy.
- Target Value: Either no preferred target value or a preferred target value. If there is a preferred value, you must select the value.
Algorithm Options
First select the model type;
Model Build Type is one of the following:
- Single Feature, the default
- Multi Feature
- Naive Bayes
See Adaptive Bayes Network Algorithm for information about the model types.
The values that you can change and their defaults depend on the Model Type that you select.
You can change the following for a Single Feature model:
- Predictors: A feature selection mechanism that can provide a substantial performance improvement. The actual number of predictors is the minimum of this value and the number of active predictors in the model. If the value is less than the number of active predictors in the model, the predictors are chosen in accordance with their rank. The default is 25.
- Run Time Limit: The number of minutes for the build operation; the default is to specify no time limit.
You can change the following for a Multi Feature model:
- Predictors: A feature selection mechanism that can provide a substantial performance improvement, especially in the instance of wide training tables. The actual number of predictors is the minimum of this value and the number of active predictors in the model. If the value is less than the number of active predictors in the model, the predictors are chosen in accordance with their rank. The default is 25.
- Run Time Limit: The number of minutes for the build operation; the default is to specify no time limit.
- Naive Bayes Predictors: The maximum number of attributes to consider during the build process. The default is 10. The larger the number, the slower the build. This number must be less than the number of features.
You can change the following for a Naive Bayes model:
- Naive Bayes Predictors: The maximum number of attributes to consider during the build process (in rank order MDL correlation to target). The default is 10. The larger the number, the slower the build. This number must be less than the number of features.
Click OK to continue.
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