Node Connectivity
There are 2898 nodes that can be used as successor
for a node with an output port of type 
Table.
ClassificationViaClustering (3.7)
A simple meta-classifier that uses a clusterer for classification
ClassificationViaRegression (3.7)
Class for doing classification using regression methods
CostSensitiveClassifier (3.7)
A metaclassifier that makes its base classifier cost-sensitive
Dagging (3.7)
This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the supplied base classifier
Decorate (3.7)
DECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examples
END (3.7)
A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies. For more info, check Lin Dong, […]
EnsembleSelection (3.7)
Combines several classifiers using the ensemble selection method
FilteredClassifier (3.7)
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter
Grading (3.7)
Implements Grading
LogitBoost (3.7)
Class for performing additive logistic regression