View source: R/accuracy_means.R
mean_error_sqr | R Documentation |
Computes the average square error between the input vectors.
mean_error_sqr(actual, predicted, na.rm = FALSE)
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
|
na.rm |
A logical value indicating whether |
Returns a double scalar with the mean square error value.
mean_error()
,
mean_error_abs()
,
mean_error_pct()
,
mean_error_abs_pct()
,
mean_error_sqr_root()
actual <- runif(10)
predicted <- runif(10)
mean_error_sqr(actual, predicted)
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