NNge

Package

weka.classifiers.rules

Synopsis

Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules). For more information, see

Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand.

Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.

Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (NNge).

Options

The table below describes the options available for NNge.

Option	Description
debug	If set to true, classifier may output additional info to the console.
numAttemptsOfGeneOption	Sets the number of attempts for generalization.
numFoldersMIOption	Sets the number of folder for mutual information.

Capabilities

The table below describes the capabilites of NNge.

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