VotedPerceptron (3.7)

Learner

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:

Y.Freund, R.

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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Input Ports

  1. Type: Data Training data

Output Ports

  1. Type: Weka 3.7 Classifier Trained model

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Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > functions

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KNIME Weka Data Mining Integration (3.7)

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