measures (version 0.2)

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

# NOT RUN {
n = 20
set.seed(123)
truth = abs(rnorm(n))
response = abs(rnorm(n))
RMSLE(truth, response)
# }

Run the code above in your browser using DataCamp Workspace