Package

weka.classifiers.lazy

Synopsis

K* is an instance-based classifier, that is the class of a test instance is based upon the class of those training instances similar to it, as determined by some similarity function. It differs from other instance-based learners in that it uses an entropy-based distance function.

For more information on K*, see

John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.

Options

The table below describes the options available for KStar.

Option	Description
debug	If set to true, classifier may output additional info to the console.
entropicAutoBlend	Whether entropy-based blending is to be used.
globalBlend	The parameter for global blending. Values are restricted to 0,100.
missingMode	Determines how missing attribute values are treated.

Capabilities

The table below describes the capabilites of KStar.

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