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 |