Node Connectivity
There are 3042 nodes that can be used as successor
for a node with an output port of type 
Table.
ND (3.7)
A meta classifier for handling multi-class datasets with 2-class classifiers by building a random tree structure. For more info, check Lin Dong, Eibe Frank, […]
AdaBoostM1 (3.7)
Class for boosting a nominal class classifier using the Adaboost M1 method
AdditiveRegression (3.7)
Meta classifier that enhances the performance of a regression base classifier
AttributeSelectedClassifier (3.7)
Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier
Bagging (3.7)
Class for bagging a classifier to reduce variance
CVParameterSelection (3.7)
Class for performing parameter selection by cross-validation for any classifier. For more information, see: R
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