QDA

Package

weka.classifiers.functions

Generates a QDA model. The covariance matrices are estimated using maximum likelihood from the per-class data.

This classifier can be found in the discriminantAnalysis package.

The table below describes the options available for QDA.

Option	Description
batchSize	The preferred number of instances to process if batch prediction is being performed. More or fewer instances may be provided, but this gives implementations a chance to specify a preferred batch size.
debug	If set to true, classifier may output additional info to the console.
doNotCheckCapabilities	If set, classifier capabilities are not checked before classifier is built (Use with caution to reduce runtime).
numDecimalPlaces	The number of decimal places to be used for the output of numbers in the model.
ridge	The value of the ridge parameter.

The table below describes the capabilities of QDA.

Capability	Supported
Class	Binary class, Missing class values, Nominal class
Attributes	Numeric attributes
Min # of instances	0