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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

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