Node Connectivity
There are 120 nodes that can be used as predessesor
for a node with an input port of type 
Weka 3.7 Classifier.
RandomCommittee (3.7)
Class for building an ensemble of randomizable base classifiers
RandomSubSpace (3.7)
This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows […]
RealAdaBoost (3.7)
Class for boosting a 2-class classifier using the Real Adaboost method. For more information, see J
RegressionByDiscretization (3.7)
A regression scheme that employs any classifier on a copy of the data that has the class attribute discretized
RotationForest (3.7)
Class for construction a Rotation Forest
Stacking (3.7)
Combines several classifiers using the stacking method
StackingC (3.7)
Implements StackingC (more efficient version of stacking). For more information, see A.K
ThresholdSelector (3.7)
A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier
Vote (3.7)
Class for combining classifiers
CHIRP (3.7)
CHIRP is an iterative sequence of three stages (projecting, binning, and covering) that are designed to deal with the curse of dimensionality, computational […]