ReliefFeatureSetMeasure {FSinR}

Relief Feature Set Measure evaluation measure

Description

Generates an evaluation function that applies Feature set measure based on Relief (set measure). Described in (Arauzo-Azofra et al. 2004-1). This function is called internally within the filterEvaluator function.

Usage

ReliefFeatureSetMeasure(iterations = 5, kNeightbours = 4)

Arguments

iterations

Number of iterations

kNeightbours

Number of neighbours

Value

Returns a function that is used to generate an evaluation set measure (between -1 and 1) using RFSM value for the selected features.

Author(s)

Alfonso Jiménez-Vílchez

References

Arauzo-Azofra A, Benítez J, Castro J (2004-1). “A feature set measure based on Relief.” Proceedings of the 5th International Conference on Recent Advances in Soft Computing.

Examples

## Not run:  

## The direct application of this function is an advanced use that consists of using this 
# function directly to evaluate a set of features
## Classification problem

# Generate the evaluation function with Cramer
RFSM_evaluator <- ReliefFeatureSetMeasure()
# Evaluate the features (parameters: dataset, target variable and features)
RFSM_evaluator(iris,'Species',c('Sepal.Length','Sepal.Width','Petal.Length','Petal.Width'))

## End(Not run)