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.
IsotonicRegression (3.7)
Learns an isotonic regression model
KernelLogisticRegression (3.7)
This classifier generates a two-class kernel logistic regression model
LibLINEAR (3.7)
A wrapper class for the liblinear classifier. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008)
LibSVM (3.7)
A wrapper class for the libsvm tools (the libsvm classes, typically the jar file, need to be in the classpath to use this classifier). LibSVM runs faster […]
LinearRegression (3.7)
Class for using linear regression for prediction
Logistic (3.7)
Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, however, compared to the paper of […]
MultilayerPerceptron (3.7)
A Classifier that uses backpropagation to classify instances. This network can be built by hand, created by an algorithm or both
PaceRegression (3.7)
Class for building pace regression linear models and using them for prediction
RBFClassifier (3.7)
Class implementing radial basis function networks for classification, trained in a fully supervised manner using WEKA's Optimization class by minimizing […]
RBFNetwork (3.7)
Class that implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and […]