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. The base classifier must be an updateable classifier
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.SGD)