GMEAN: G-mean

Description Usage Arguments References Examples

View source: R/measures_binaryclass.R

Description

Geometric mean of recall and specificity.

Usage

1
GMEAN(truth, response, negative, positive)

Arguments

truth

vector of true values

response

vector of predicted values

negative

negative class

positive

positive class

References

He, H. & Garcia, E. A. (2009) *Learning from Imbalanced Data.* IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 9. pp. 1263-1284.

Examples

1
2
3
4
5
6
7
8
n = 20
set.seed(125)
truth = as.factor(sample(c(1,0), n, replace = TRUE))
probabilities = runif(n)
response = as.factor(as.numeric(probabilities > 0.5))
positive = 1
negative = 0
GMEAN(truth, response, negative, positive)

Example output

[1] 0.4020151

measures documentation built on Jan. 19, 2021, 5:08 p.m.