powered by
Computes the average percent error between the input vectors.
mean_error_pct(actual, predicted, na.rm = FALSE)
Returns a double scalar with the mean percent error value.
A vector of the class lvmisc_percent.
lvmisc_percent
A numeric vector with the actual values.
A numeric vector with the predicted values. Each element in this vector must be a prediction for the corresponding element in actual.
actual
A logical value indicating whether NA values should be stripped before the computation proceeds. Defaults to FALSE.
NA
FALSE
mean_error(), mean_error_abs(), mean_error_abs_pct(), mean_error_sqr(), mean_error_sqr_root()
mean_error()
mean_error_abs()
mean_error_abs_pct()
mean_error_sqr()
mean_error_sqr_root()
actual <- runif(10) predicted <- runif(10) mean_error_pct(actual, predicted)
Run the code above in your browser using DataLab