| Issue | #Downvotes for this reason | By |
|---|
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| I | Initial class value count (default 0) | default: 0.0 |
| L | Maximum tree depth (default -1, no maximum) | default: -1 |
| M | Set minimum number of instances per leaf (default 2). | default: 2 |
| N | Number of folds for reduced error pruning (default 3). | default: 3 |
| P | No pruning. | |
| R | Spread initial count over all class values (i.e. don't use 1 per value) | |
| S | Seed for random data shuffling (default 1). | default: 1 |
| V | Set minimum numeric class variance proportion of train variance for split (default 1e-3). | default: 0.001 |
| batch-size | The desired batch size for batch prediction (default 100). | |
| 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 |