VotedPerceptron
- Former user (Deleted)
Package
weka.classifiers.functions
Synopsis
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.
Options
The table below describes the options available for VotedPerceptron.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
exponent |
Exponent for the polynomial kernel. |
maxK |
The maximum number of alterations to the perceptron. |
numIterations |
Number of iterations to be performed. |
seed |
Seed for the random number generator. |
Capabilities
The table below describes the capabilites of VotedPerceptron.
Capability |
Supported |
|---|---|
Class |
Missing class values, Binary class |
Attributes |
Binary attributes, Nominal attributes, Missing values, Empty nominal attributes, Numeric attributes, Date attributes, Unary attributes |
Min # of instances |
0 |