KStar
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 |