Updateable BR Must be run with an Updateable base classifier.
-W <classifier name>
Full name of base classifier. (default: weka.classifiers.trees.HoeffdingTree)
If set, classifier is run in debug mode and may output additional info to the console
If set, classifier capabilities are not checked before classifier is built (use with caution).
The number of decimal places for the output of numbers in the model (default 2).
The desired batch size for batch prediction (default 100).
Options specific to classifier weka.classifiers.trees.HoeffdingTree:
The leaf prediction strategy to use. 0 = majority class, 1 = naive Bayes, 2 = naive Bayes adaptive. (default = 2)
The splitting criterion to use. 0 = Gini, 1 = Info gain (default = 1)
The allowable error in a split decision - values closer to zero will take longer to decide (default = 1e-7)
Threshold below which a split will be forced to break ties (default = 0.05)
Minimum fraction of weight required down at least two branches for info gain splitting (default = 0.01)
Grace period - the number of instances a leaf should observe between split attempts (default = 200)
The number of instances (weight) a leaf should observe before allowing naive Bayes to make predictions (NB or NB adaptive only) (default = 0)
Print leaf models when using naive Bayes at the leaves.