Compute the Root Mean Squared Error between predicted and actual values.
Usage
pred.RMSE(y_true, y_pred)
Arguments
- y_true
Actual values.
- y_pred
Predicted values.
Value
The root mean squared error.
Examples
y_true <- c(1, 2, 3, 4, 5)
y_pred <- c(1.1, 2.2, 2.9, 4.1, 4.8)
pred.RMSE(y_true, y_pred)
#> [1] 0.148324