Implementation of the voted perceptron algorithm by Freund and Schapire
Globally replaces all missing values, and transforms nominal attributes into binary ones.
For more information, see:
E.Schapire: Large margin classification using the perceptron algorithm.
In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
(based on WEKA 3.7)
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All weka dialogs have a panel where you can specify classifier-specific parameters.
- Type: Data Training data
- Type: Weka 3.7 Classifier Trained model
Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > functions
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KNIME Weka Data Mining Integration (3.7)
Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site