| Issue | #Downvotes for this reason | By |
|---|
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| A | Use the 1 SE rule to make pruning decision. (default no). | |
| C | Percentage of training data size (0-1] (default 1). | default: true |
| G | Don't use Gini index for splitting (default yes), if not information is used. | |
| H | Don't use heuristic search for nominal attributes in multi-class problem (default yes). | |
| M | The minimal number of instances at the terminal nodes. (default 2) | default: 2 |
| N | The number of folds used in the pruning. (default 5) | default: 5 |
| P | The pruning strategy. (default: POSTPRUNED) | default: POSTPRUNED |
| R | Don't use error rate in internal cross-validation (default yes), but root mean squared error. | |
| S | Random number seed. (default 1) | default: 1 |
| num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | |
| output-debug-info | If set, classifier is run in debug mode and may output additional info to the console |