Package
weka.classifiers.meta
Synopsis
Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.
Options
The table below describes the options available for AttributeSelectedClassifier.
Option | Description |
|---|---|
classifier | The base classifier to be used. |
debug | If set to true, classifier may output additional info to the console. |
evaluator | Set the attribute evaluator to use. This evaluator is used during the attribute selection phase before the classifier is invoked. |
search | Set the search method. This search method is used during the attribute selection phase before the classifier is invoked. |
Capabilities
The table below describes the capabilites of AttributeSelectedClassifier.
Capability | Supported |
|---|---|
Class | Nominal class, Numeric class, Binary class, Missing class values, Date class |
Attributes | Empty nominal attributes, Date attributes, Nominal attributes, Missing values, Binary attributes, Numeric attributes, Unary attributes |
Min # of instances | 1 |