| Issue | #Downvotes for this reason | By |
|---|
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| -doNotMakeSplitPointActualValue | Do not make split point actual value. | |
| A | Laplace smoothing for predicted probabilities. | |
| B | Use binary splits only. | |
| C | Set confidence threshold for pruning. (default 0.25) | |
| E | Desired size of ensemble. (default 10) | default: 15 |
| I | Number of iterations. (default 10) | default: 50 |
| J | Do not use MDL correction for info gain on numeric attributes. | |
| L | Do not clean up after the tree has been built. | |
| M | Set minimum number of instances per leaf. (default 2) | |
| N | Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3) | |
| O | Do not collapse tree. | |
| Q | Seed for random data shuffling (default 1). | |
| R | Factor that determines number of artificial examples to generate. Specified proportional to training set size. (default 1.0) | default: 1.0 |
| S | Random number seed. (default 1) | default: 1 |
| U | Use unpruned tree. | |
| output-debug-info | If set, classifier is run in debug mode and may output additional info to the console |