There are 3058 nodes that can be used as successor
for a node with an output port of type Table.
HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest
Class implementing the predictive apriori algorithm to mine association rules. It searches with an increasing support threshold for the best 'n' rules […]
Finds rules according to confirmation measure (Tertius-type algorithm). For more information see: P
The Weka Cluster Assigner takes a cluster model generated in a weka node and assigns the data at the inport to the corresponding clusters.
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models.
Bayes Network learning using various search algorithms and quality measures.
Class for building and using a Complement class Naive Bayes classifier.
Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC.
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