Merge Interviews

Original KNeTs WBQ

Options specific to weka.classifiers.trees.J48:

-U Use unpruned tree.
-O Do not collapse tree.
-C [pruning confidence]
	Set confidence threshold for pruning.
	(default 0.25)
-M 
	Set minimum number of instances per leaf.
	(default 2)
-R Use reduced error pruning.
-N [number of folds]
	Set number of folds for reduced error
	pruning. One fold is used as pruning set.
	(default 3)
-B Use binary splits only.
-S Don't perform subtree raising.
-L Do not clean up after the tree has been built.
-A Laplace smoothing for predicted probabilities.
-J Do not use MDL correction for info gain on numeric attributes.
-Q [seed]
	Seed for random data shuffling (default 1).

General options:

-h or -help
	Output help information.
-synopsis or -info
	Output synopsis for classifier (use in conjunction  with -h)
-t [name of training file]
	Sets training file.
-T [name of test file]
	Sets test file. If missing, a cross-validation will be performed
	on the training data.
-c [class index]
	Sets index of class attribute (default: last).
-x [number of folds]
	Sets number of folds for cross-validation (default: 10).
-no-cv
	Do not perform any cross validation.
-split-percentage [percentage]
	Sets the percentage for the train/test set split, e.g., 66.
-preserve-order
	Preserves the order in the percentage split.
-s [random number seed]
	Sets random number seed for cross-validation or percentage split
	(default: 1).
-m [name of file with cost matrix]
	Sets file with cost matrix.
-disable [comma-separated list of evaluation metric names]
	Comma separated list of metric names not to print to the output.
	Available metrics:
	Correct,Incorrect,Kappa,Total cost,Average cost,KB relative,KB information,
	Correlation,Complexity 0,Complexity scheme,Complexity improvement,
	MAE,RMSE,RAE,RRSE,Coverage,Region size,TP rate,FP rate,Precision,Recall,
	F-measure,MCC,ROC area,PRC area
-l [name of input file]
	Sets model input file. In case the filename ends with '.xml',
	a PMML file is loaded or, if that fails, options are loaded
	from the XML file.
-d [name of output file]
	Sets model output file. In case the filename ends with '.xml',
	only the options are saved to the XML file, not the model.
-v Outputs no statistics for training data.
-o Outputs statistics only, not the classifier.
-i Outputs detailed information-retrieval statistics for each class.
-k Outputs information-theoretic statistics.
-classifications "weka.classifiers.evaluation.output.prediction.AbstractOutput + options"
	Uses the specified class for generating the classification output.
	E.g.: weka.classifiers.evaluation.output.prediction.PlainText
-p range
	Outputs predictions for test instances (or the train instances if
	no test instances provided and -no-cv is used), along with the 
	attributes in the specified range (and nothing else). 
	Use '-p 0' if no attributes are desired.
	Deprecated: use "-classifications ..." instead.
-distribution
	Outputs the distribution instead of only the prediction
	in conjunction with the '-p' option (only nominal classes).
	Deprecated: use "-classifications ..." instead.
-r Only outputs cumulative margin distribution.
-z [class name]
	Only outputs the source representation of the classifier,
	giving it the supplied name.
-g Only outputs the graph representation of the classifier.
-xml filename | xml-string
	Retrieves the options from the XML-data instead of the command line.
-threshold-file [file]
	The file to save the threshold data to.
	The format is determined by the extensions, e.g., '.arff' for ARFF 
	format or '.csv' for CSV.
-threshold-label [label]
	The class label to determine the threshold data for
	(default is the first label)