Mean percent error

Source: R/accuracy_means.R

Computes the average percent error between the input vectors.

mean_error_pct(actual, predicted, na.rm = FALSE)

Arguments

actual

A numeric vector with the actual values.
predicted

A numeric vector with the predicted values. Each element in this vector must be a prediction for the corresponding element in actual.
na.rm

A logical value indicating whether NA values should be stripped before the computation proceeds. Defaults to FALSE.

Value

Returns a double scalar with the mean percent error value.

A vector of the class lvmisc_percent.

See also

mean_error(), mean_error_abs(), mean_error_abs_pct(), mean_error_sqr(), mean_error_sqr_root()

Examples

actual <- runif(10)
predicted <- runif(10)

mean_error_pct(actual, predicted)

#> <lvmisc_percent[1]>
#> [1] -9.48812230464936%