symmetrical_uncertainty: Estimating Symmetrical Uncertainty of two categorical...

In msu: Multivariate Symmetric Uncertainty and Other Measurements

Description

Symmetrical uncertainty (SU) is the product of a normalization of the information gain (IG) with respect to entropy. SU(X,Y) is a value in the range [0,1], where SU(X,Y) = 0 if X and Y are totally independent and SU(X,Y) = 1 if X and Y are totally dependent.

Usage

symmetrical_uncertainty(x, y)

SU(x, y)

Arguments

x	A factor as the represented categorical variable.
y	A factor as the represented categorical variable.

Value

Symmetrical uncertainty estimation based on Sannon entropy. The result is rounded to 7 decimal places.

See Also

msu

Examples

# completely predictable
symmetrical_uncertainty(factor(c(0,1,0,1)), factor(c(0,1,0,1)))
# XOR factor variables
symmetrical_uncertainty(factor(c(0,0,1,1)), factor(c(0,1,1,0)))
symmetrical_uncertainty(factor(c(0,1,0,1)), factor(c(0,1,1,0)))
## Not run: 
symmetrical_uncertainty(c(0,1,0,1), c(0,1,1,0))

## End(Not run)

msu documentation built on May 2, 2019, 6:43 a.m.