| Issue | #Downvotes for this reason | By |
|---|
| A | Laplace smoothing for predicted probabilities | default: FALSE |
| B | Use binary splits only | default: FALSE |
| C | Pruning confidence | default: 0.25 |
| J | Do not use MDL correction for info gain on numeric attributes | default: FALSE |
| M | Minimum number of instances per leaf | default: 2 |
| N | Number of folds for reduced error pruning | default: 3 |
| O | Do not collapse tree | default: FALSE |
| R | Use reduced error pruning | default: FALSE |
| S | Don't perform subtree raising | default: FALSE |
| U | Use unpruned tree | default: FALSE |
| openml.kind | default: Mersenne-Twister | |
| openml.normal.kind | default: Inversion | |
| openml.seed | default: 1 | |
| output-debug-info |