| Issue | #Downvotes for this reason | By |
|---|
| b | binarySplits: Only allow binary splits. | default: false |
| c | splitConfidence: The allowable error in split decision, values closer to 0 will take longer to decide. | default: 1.0E-7 |
| d | nominalEstimator: Nominal estimator to use. | default: NominalAttributeClassObserver |
| e | memoryEstimatePeriod: How many instances between memory consumption checks. | default: 1000000 |
| g | gracePeriod: The number of instances a leaf should observe between split attempts. | default: 200 |
| l | leafprediction: Leaf prediction to use. | default: NBAdaptive |
| m | maxByteSize: Maximum memory consumed by the tree. | default: 33554432 |
| n | numericEstimator: Numeric estimator to use. | default: GaussianNumericAttributeClassObserver |
| p | noPrePrune: Disable pre-pruning. | default: false |
| q | nbThreshold: The number of instances a leaf should observe before permitting Naive Bayes. | default: 0 |
| r | randomSeed: Seed for random behaviour of the classifier. | default: 1 |
| s | splitCriterion: Split criterion to use. | default: InfoGainSplitCriterion |
| t | tieThreshold: Threshold below which a split will be forced to break ties. | default: 0.05 |
| z | stopMemManagement: Stop growing as soon as memory limit is hit. | default: false |