Synopsis

A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier. The classifier is either trained on the data itself or provided as serialized model.

Options

The table below describes the options available for AddClassification.

Option	Description
classifier	The classifier to use for classification.
debug	Turns on output of debugging information.
outputClassification	Whether to add an attribute with the actual classification.
outputDistribution	Whether to add attributes with the distribution for all classes (for numeric classes this will be identical to the attribute output with 'outputClassification').
outputErrorFlag	Whether to add an attribute indicating whether the classifier output a wrong classification (for numeric classes this is the numeric difference).
removeOldClass	Whether to remove the old class attribute.
serializedClassifierFile	A file containing the serialized model of a trained classifier.

Capabilities

The table below describes the capabilites of AddClassification.

Capability	Supported
Class	Date class, Missing class values, Binary class, Numeric class, Nominal class
Attributes	Unary attributes, Binary attributes, Missing values, Relational attributes, Date attributes, String attributes, Empty nominal attributes, Numeric attributes, Nominal attributes
Min # of instances	0

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