ReplaceMissingValues
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 |