| Issue | #Downvotes for this reason | By |
|---|
| B | weka.ZeroR(2) | class name of base learner to use for accuracy estimation. Place any classifier options LAST on the command line following a "--". eg.: -B weka.classifiers.bayes.NaiveBayes ... -- -K (default: weka.classifiers.rules.ZeroR) |
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| B | class name of base learner to use for accuracy estimation. Place any classifier options LAST on the command line following a "--". eg.: -B weka.classifiers.bayes.NaiveBayes ... -- -K (default: weka.classifiers.rules.ZeroR) | default: weka.classifiers.rules.ZeroR |
| E | Performance evaluation measure to use for selecting attributes. (Default = accuracy for discrete class and rmse for numeric class) | default: acc |
| F | number of cross validation folds to use for estimating accuracy. (default=5) | default: 5 |
| IRclass | Optional class value (label or 1-based index) to use in conjunction with IR statistics (f-meas, auc or auprc). Omitting this option will use the class-weighted average. | |
| R | Seed for cross validation accuracy testimation. (default = 1) | default: 1 |
| T | threshold by which to execute another cross validation (standard deviation---expressed as a percentage of the mean). (default: 0.01 (1%)) | default: 0.01 |
| output-debug-info | If set, classifier is run in debug mode and may output additional info to the console |