binaryConsistency {FSinR}

Binary consistency measure

Description

Generates an evaluation function that calculates the binary consistency, also known as "Sufficiency test" from FOCUS (Almuallim and Dietterich 1991) (set measure). This function is called internally within the filterEvaluator function.

Usage

binaryConsistency()

Value

Returns a function that is used to generate an evaluation set measure using the binary consistency value for the selected features.

Author(s)

Adan M. Rodriguez

References

Almuallim H, Dietterich TG (1991). “Learning With Many Irrelevant Features.” In In Proceedings of the Ninth National Conference on Artificial Intelligence, 547–552.

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

# A discrete dataset is used (in this case we use only several discrete columns)
adult <- adult[,c(4,9,10,15)]

# Generate the evaluation function with Binary Consistency
bc_evaluator <- binaryConsistency()
# Evaluate the features (parameters: dataset, target variable and features)
bc_evaluator(adult,'income',c('race','sex','education'))

## End(Not run)