Description Usage Arguments Value Examples
Information gain (also called mutual information) is a measure of the mutual dependence between two variables (see https://en.wikipedia.org/wiki/Mutual_information).
1 2 3 | information_gain(x, y)
IG(x, y)
|
x |
A factor representing a categorical variable. |
y |
A factor representing a categorical variable. |
Information gain estimation based on Sannon entropy for
variables x
and y
.
1 2 3 4 5 6 7 | information_gain(factor(c(0,1)), factor(c(1,0)))
information_gain(factor(c(0,0,1,1)), factor(c(0,1,1,1)))
information_gain(factor(c(0,0,1,1)), factor(c(0,1,0,1)))
## Not run:
information_gain(c(0,1), c(1,0))
## End(Not run)
|
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