measures: RMSLE – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

RMSLE

Root mean squared logarithmic error

Description

Definition taken from: https: / /www.kaggle.com / wiki / RootMeanSquaredLogarithmicError. This is mostly used for count data, note that all predicted and actual target values must be greater or equal '-1' to compute the root mean squared logarithmic error.

Usage

RMSLE(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))
RMSLE(truth, response)

measures

Performance Measures for Statistical Learning

v0.3

GPL-3

Authors

Philipp Probst [aut, cre]

Initial release