A metaclassifier for handling multi-class datasets with 2-class classifiers. This classifier is also capable of applying error correcting output codes for increased accuracy.
Valid options are:
-M <num> Sets the method to use. Valid values are 0 (1-against-all), 1 (random codes), 2 (exhaustive code), and 3 (1-against-1). (default 0)
-R <num> Sets the multiplier when using random codes. (default 2.0)
-P Use pairwise coupling (only has an effect for 1-against1)
-S <num> Random number seed. (default 1)
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of base classifier. (default: weka.classifiers.functions.Logistic)
Options specific to classifier weka.classifiers.functions.Logistic:
-D Turn on debugging output.
-R <ridge> Set the ridge in the log-likelihood.
-M <number> Set the maximum number of iterations (default -1, until convergence).
@author Eibe Frank (eibe@cs.waikato.ac.nz)
@author Len Trigg (len@reeltwo.com)
@author Richard Kirkby (rkirkby@cs.waikato.ac.nz)
@version $Revision: 5928 $