There are 5112 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost technique for forming […]
A metaclassifier for handling multi-class datasets with 2-class classifiers. This classifier is also capable of applying error correcting output codes for […]
Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data. Performance is […]
Meta classifier that allows standard classification algorithms to be applied to ordinal class problems. For more information see: Eibe Frank, Mark Hall: […]
Classifier for incremental learning of large datasets by way of racing logit-boosted committees. For more information see: Eibe Frank, Geoffrey Holmes, […]
Class for building an ensemble of randomizable base classifiers. Each base classifiers is built using a different random number seed (but based one the same […]
This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows […]
A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized. The predicted value is the […]
Class for construction a Rotation Forest. Can do classification and regression depending on the base learner. For more information, see Juan J. […]
Combines several classifiers using the stacking method. Can do classification or regression. For more information, see David H. Wolpert (1992). Stacked […]
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