RotationForest
Package
weka.classifiers.meta
Synopsis
Class for construction a Rotation Forest. Can do classification and regression depending on the base learner.
For more information, see
Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630. URL http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.211.
Options
The table below describes the options available for RotationForest.
Option |
Description |
|---|---|
classifier |
The base classifier to be used. |
debug |
If set to true, classifier may output additional info to the console. |
maxGroup |
Maximum size of a group (if numberOfGrups is true, the maximum number of groups. |
minGroup |
Minimum size of a group (if numberOfGrups is true, the minimum number of groups. |
numIterations |
The number of iterations to be performed. |
numberOfGroups |
Whether minGroup and maxGroup refer to the number of groups or their size. |
projectionFilter |
The filter used to project the data (e.g., PrincipalComponents). |
removedPercentage |
The percentage of instances to be removed. |
seed |
The random number seed to be used. |
Capabilities
The table below describes the capabilites of RotationForest.
Capability |
Supported |
|---|---|
Class |
Nominal class, Missing class values, Binary class |
Attributes |
Binary attributes, Unary attributes, Nominal attributes, Missing values, Numeric attributes, Empty nominal attributes, Date attributes |
Min # of instances |
0 |