| Issue | #Downvotes for this reason | By |
|---|
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | default: ["false"] |
| -doNotMakeSplitPointActualValue | Do not make split point actual value. | default: ["false"] |
| A | Laplace smoothing for predicted probabilities. | default: ["false"] |
| B | Use binary splits only. | default: ["false"] |
| C | Set confidence threshold for pruning. (default 0.25) | default: ["0.25"] |
| J | Do not use MDL correction for info gain on numeric attributes. | default: ["false"] |
| L | Do not clean up after the tree has been built. | default: ["false"] |
| M | Set minimum number of instances per leaf. (default 2) | default: ["2"] |
| N | Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3) | default: [] |
| O | Do not collapse tree. | default: ["false"] |
| Q | Seed for random data shuffling (default 1). | default: [] |
| R | Use reduced error pruning. | default: ["false"] |
| S | Do not perform subtree raising. | default: ["false"] |
| U | Use unpruned tree. | default: ["false"] |
| batch-size | The desired batch size for batch prediction (default 100). | default: [] |
| num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | default: [] |
| output-debug-info | If set, classifier is run in debug mode and may output additional info to the console | default: ["false"] |