MDLC: MDLC evaluation measure

In FSinR: Feature Selection in R

MDLC evaluation measure

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

 

## 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 Binary Consistency
MDLC_evaluator <- MDLC()
# Evaluate the features (parameters: dataset, target variable and features)
MDLC_evaluator(iris, "Species", c("Sepal.Length","Sepal.Width"))

FSinR documentation built on Nov. 5, 2025, 5:24 p.m.