MSLE {measures} | R Documentation |
Mean squared logarithmic error
Description
Defined as: mean((log(response + 1, exp(1)) - log(truth + 1, exp(1)))^2). This is mostly used for count data, note that all predicted and actual target values must be greater or equal '-1' to compute the mean squared logarithmic error.
Usage
MSLE(truth, response)
Arguments
truth |
[numeric] vector of true values |
response |
[numeric] vector of predicted values |
Examples
n = 20
set.seed(123)
truth = abs(rnorm(n))
response = abs(rnorm(n))
MSLE(truth, response)
[Package measures version 0.3 Index]