FSinR (version 2.0.5)

MDLC: MDLC evaluation measure

Description

Generates an evaluation function that applies the Minimum-Description_Length-Criterion (MDLC) Sheinvald1990FSinR to generate an evaluation measure for a set of features (set measure). This function is called internally within the filterEvaluator function.

Usage

MDLC()

Value

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

References

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 MDLC
MDLC_evaluator <- MDLC()
# Evaluate the features (parameters: dataset, target variable and features)
MDLC_evaluator(adult,'income',c('race','sex','education'))
# }