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Package

weka.filters.unsupervised.attribute

Synopsis

Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.

Options

The table below describes the options available for ReplaceMissingValues.

Option Description
ignoreClass The class index will be unset temporarily before the filter is applied.

Capabilities

The table below describes the capabilites of ReplaceMissingValues.

Capability Supported
Class No class, Numeric class, Relational class, Nominal class, Missing class values, Empty nominal class, Binary class, String class, Unary class, Date class
Attributes Unary attributes, Binary attributes, Missing values, Empty nominal attributes, Nominal attributes, Date attributes, Numeric attributes, String attributes, Relational attributes
Min # of instances 0

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