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Package

weka.filters.unsupervised.instance

Synopsis

A filter that removes instances which are incorrectly classified. Useful for removing outliers.

Options

The table below describes the options available for RemoveMisclassified.

Option

Description

classIndex

Index of the class upon which to base the misclassifications. If < 0 will use any current set class or default to the last attribute.

classifier

The classifier upon which to base the misclassifications.

invert

Whether or not to invert the selection. If true, correctly classified instances will be discarded.

maxIterations

The maximum number of iterations to perform. < 1 means filter will go until fully cleansed.

numFolds

The number of cross-validation folds to use. If < 2 then no cross-validation will be performed.

threshold

Threshold for the max allowable error when predicting a numeric class. Should be >= 0.

Capabilities

The table below describes the capabilites of RemoveMisclassified.

Capability

Supported

Class

Missing class values, Numeric class, Date class, Binary class, Nominal class

Attributes

Binary attributes, Missing values, Nominal attributes, Relational attributes, String attributes, Empty nominal attributes, Numeric attributes, Date attributes, Unary attributes

Min # of instances

0

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