symmetricalUncertain {FSinR}

Symmetrical uncertain measure

Description

Generates an evaluation function that calculates the symmetrical uncertain value (Witten and Frank 2005), using the information theory (set measure). This function is called internally within the filterEvaluator function.

Usage

symmetricalUncertain()

Value

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

Author(s)

Adan M. Rodriguez

References

Witten IH, Frank E (2005). Data Mining: Practical Machine Learning Tools and Techniques, 2nd edition. Morgan Kaufmann, San Francisco.

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 Symmetrical Uncertain
su_evaluator <- symmetricalUncertain()
# Evaluate the features (parameters: dataset, target variable and features)
su_evaluator(adult,'income',c('race','sex','education'))

## End(Not run)