Node Connectivity
There are 2898 nodes that can be used as successor
for a node with an output port of type 
Table.
LBR (3.7)
Lazy Bayesian Rules Classifier
LWL (3.7)
Locally weighted learning
ClassBalancedND (3.7)
A meta classifier for handling multi-class datasets with 2-class classifiers by building a random class-balanced tree structure. For more info, check Lin […]
DataNearBalancedND (3.7)
A meta classifier for handling multi-class datasets with 2-class classifiers by building a random data-balanced tree structure. For more info, check Lin […]
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