Package

weka.classifiers.trees

Synopsis

Class for building and using a decision stump. Usually used in conjunction with a boosting algorithm. Does regression (based on mean-squared error) or classification (based on entropy). Missing is treated as a separate value.

Options

The table below describes the options available for DecisionStump.

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

Capabilities

The table below describes the capabilites of DecisionStump.

Capability	Supported
Class	Date class, Binary class, Missing class values, Numeric class, Nominal class
Attributes	Numeric attributes, Unary attributes, Date attributes, Empty nominal attributes, Nominal attributes, Binary attributes, Missing values
Min # of instances	1

Browser not supported