| Issue | #Downvotes for this reason | By |
|---|
| l | moa.FIMTDD(1) | baseLearner: Classifier to train. |
| a | deltaAdwin: Delta of Adwin change detection | default: 0.002 |
| l | baseLearner: Classifier to train. | default: trees.HoeffdingTree |
| m | leveraginBagAlgorithm: Leveraging Bagging to use. | default: LeveragingBag |
| o | outputCodes: Use Output Codes to use binary classifiers. | default: false |
| r | randomSeed: Seed for random behaviour of the classifier. | default: 1 |
| s | ensembleSize: The number of models in the bag. | default: 10 |
| w | weightShrink: The number to use to compute the weight of new instances. | default: 6.0 |