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.
M5Rules (3.7)
Generates a decision list for regression problems using separate-and-conquer
NNge (3.7)
Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules)
OLM (3.7)
This class is an implementation of the Ordinal Learning Method (OLM). Further information regarding the algorithm and variants can be found in: Arie […]
OneR (3.7)
Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes
PART (3.7)
Class for generating a PART decision list
Prism (3.7)
Class for building and using a PRISM rule set for classification
Ridor (3.7)
An implementation of a RIpple-DOwn Rule learner. It generates a default rule first and then the exceptions for the default rule with the least (weighted) […]
ZeroR (3.7)
Class for building and using a 0-R classifier
Weka Classifier Reader (3.7)
Reads a weka classification model from a (zip) file.
Weka Classifier Reader (3.7) Deprecated
Reads a weka classification model from a (zip) file.