ProbAverageVoting: Implementation of Probabilistic Average voting.

In D2MCS: Data Driving Multiple Classifier System

Implementation of Probabilistic Average voting.

Description

Computes the final prediction by performing the mean value of the probability achieved by each prediction.

Super class

D2MCS::SimpleVoting -> ProbAverageVoting

Methods

Public methods

• ProbAverageVoting$new()

• ProbAverageVoting$getMajorityClass()

• ProbAverageVoting$getClassTie()

• ProbAverageVoting$execute()

• ProbAverageVoting$clone()

Inherited methods

• D2MCS::SimpleVoting$getCutoff()
• D2MCS::SimpleVoting$getFinalPred()

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Method new()

Method for initializing the object arguments during runtime.

Usage

ProbAverageVoting$new(cutoff = 0.5, class.tie = NULL, majority.class = NULL)

Arguments

cutoff

A character vector defining the minimum probability used to perform a positive classification. If is not defined, 0.5 will be used as default value.

class.tie

A character used to define the target class value used when a tie is found. If NULL positive class value will be assigned.

majority.class

A character defining the value of the majority class. If NULL will be used same value as training stage.

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Method getMajorityClass()

The function returns the value of the majority class.

Usage

ProbAverageVoting$getMajorityClass()

Returns

A character vector of length 1 with the name of the majority class.

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Method getClassTie()

The function gets the class value assigned to solve ties.

Usage

ProbAverageVoting$getClassTie()

Returns

A character vector of length 1.

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Method execute()

The function implements the majority voting procedure.

Usage

ProbAverageVoting$execute(predictions, verbose = FALSE)

Arguments

predictions

A ClusterPredictions object containing all the predictions achieved for each cluster.

verbose

A logical value to specify if more verbosity is needed.

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Method clone()

The objects of this class are cloneable with this method.

Usage

ProbAverageVoting$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

D2MCS, ClassMajorityVoting, ClassWeightedVoting, ProbAverageVoting, ProbAverageWeightedVoting, ProbBasedMethodology

D2MCS documentation built on Aug. 23, 2022, 5:07 p.m.