Package

weka.classifiers.lazy

Synopsis

Nearest-neighbour classifier. Uses normalized Euclidean distance to find the training instance closest to the given test instance, and predicts the same class as this training instance. If multiple instances have the same (smallest) distance to the test instance, the first one found is used.

For more information, see

D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

Options

The table below describes the options available for IB1.

Option	Description
debug	If set to true, classifier may output additional info to the console.

Capabilities

The table below describes the capabilites of IB1.

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

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