Weka Classifier — NodePit

There are 92 nodes that can be used as predessesor for a node with an input port of type

Locally weighted learning.

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random class-balanced tree structure.

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random data-balanced tree structure.

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random tree structure.

Class for boosting a nominal class classifier using the Adaboost M1 method.

Meta classifier that enhances the performance of a regression base classifier.

Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.

Class for bagging a classifier to reduce variance.

Class for performing parameter selection by cross-validation for any classifier.

Class for doing classification using regression methods.

Node Connectivity