Carries out one split of a repeated k-fold
cross-validation, using the set SplitEvaluator to generate some results. Note
that the run number is actually the nth split of a repeated k-fold
cross-validation, i.e. if k=10, run number 100 is the 10th fold of the 10th
cross-validation run. This producer's sole purpose is to allow more
fine-grained distribution of cross-validation experiments. If the class
attribute is nominal, the dataset is stratified.
Valid options are:
-X <number of folds>
The number of folds to use for the cross-validation.
Save raw split evaluator output.
-O <file/directory name/path>
The filename where raw output will be stored.
If a directory name is specified then then individual
outputs will be gzipped, otherwise all output will be
zipped to the named file. Use in conjuction with -D. (default splitEvalutorOut.zip)
-W <class name>
The full class name of a SplitEvaluator.
Options specific to split evaluator weka.experiment.ClassifierSplitEvaluator:
-W <class name>
The full class name of the classifier.
The index of the class for which IR statistics
are to be output. (default 1)
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).
Add target and prediction columns to the result
for each fold.
Options specific to classifier weka.classifiers.rules.ZeroR:
If set, classifier is run in debug mode and
may output additional info to the console
All options after -- will be passed to the split evaluator.