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 |