| Issue | #Downvotes for this reason | By |
|---|
| E | The allowable error in a split decision - values closer to zero will take longer to decide (default = 1e-7) | default: ["1.0E-7"] |
| G | Grace period - the number of instances a leaf should observe between split attempts (default = 200) | default: ["200.0"] |
| H | Threshold below which a split will be forced to break ties (default = 0.05) | default: ["0.05"] |
| L | The leaf prediction strategy to use. 0 = majority class, 1 = naive Bayes, 2 = naive Bayes adaptive. (default = 2) | default: ["2"] |
| M | Minimum fraction of weight required down at least two branches for info gain splitting (default = 0.01) | default: ["0.01"] |
| N | The number of instances (weight) a leaf should observe before allowing naive Bayes to make predictions (NB or NB adaptive only) (default = 0) | default: ["0.0"] |
| P | Print leaf models when using naive Bayes at the leaves. | default: ["false"] |
| S | The splitting criterion to use. 0 = Gini, 1 = Info gain (default = 1) | default: ["1"] |