SplitEvaluator that produces results for a
classification scheme on a nominal class attribute, including weighted
misclassification costs.
Valid options are:
-W <class name>
The full class name of the classifier.
eg: weka.classifiers.bayes.NaiveBayes
-C <index>
The index of the class for which IR statistics
are to be output. (default 1)
-I <index>
The index of an attribute to output in the
results. This attribute should identify an
instance in order to know which instances are
in the test set of a cross validation. if 0
no output (default 0).
-P
Add target and prediction columns to the result
for each fold.
Options specific to classifier weka.classifiers.rules.ZeroR:
-D
If set, classifier is run in debug mode and
may output additional info to the console
-D <directory>
Name of a directory to search for cost files when loading
costs on demand (default current directory).
All options after -- will be passed to the classifier.