MDLC: MDLC evaluation measure

In FSinR: Feature Selection

Description

Generates an evaluation function that applies the Minimum-Description_Length-Criterion (MDLC) \insertCiteSheinvald1990FSinR 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

Author(s)

Alfonso Jiménez-Vílchez

References

\insertAllCited

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'))

## End(Not run)

FSinR documentation built on Nov. 23, 2020, 5:10 p.m.