View source: R/utils_supervised.R
| class_imbalance | R Documentation |
Calculate class imbalance as given by:
I = K\cdot\sum_{i=1}^K (n_i/N - 1/K)^2
where K is the number of classes, and n_i is the number of
instances of class i
class_imbalance(x)
x |
Vector, factor: Outcome. |
Numeric.
EDG
# iris is perfectly balanced
class_imbalance(iris[["Species"]])
# Simulate imbalanced outcome
x <- factor(sample(c("A", "B"), size = 500L, replace = TRUE, prob = c(0.9, 0.1)))
class_imbalance(x)
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