Stacking
- Former user (Deleted)
Package
weka.classifiers.meta
Synopsis
Combines several classifiers using the stacking method. Can do classification or regression.
For more information, see
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
Options
The table below describes the options available for Stacking.
Option |
Description |
|---|---|
classifiers |
The base classifiers to be used. |
debug |
If set to true, classifier may output additional info to the console. |
metaClassifier |
The meta classifiers to be used. |
numFolds |
The number of folds used for cross-validation. |
seed |
The random number seed to be used. |
Capabilities
The table below describes the capabilites of Stacking.
Capability |
Supported |
|---|---|
Class |
Binary class, Missing class values, Nominal class, Numeric class, Date class |
Attributes |
Nominal attributes, Binary attributes, Missing values, String attributes, Unary attributes, Relational attributes, Numeric attributes, Date attributes, Empty nominal attributes |
Min # of instances |
10 |