Computes common prediction metrics.
Usage
evaluate_prediction(y_true, y_pred, d = NULL)
Arguments
- y_true
Observed response values.
- y_pred
Predicted response values.
- d
Optional number of reduced predictors.
Value
A data frame of prediction metrics.
Examples
evaluate_prediction(
y_true = c(2, 4, 6, 8, 10),
y_pred = c(2.2, 3.8, 5.7, 8.1, 9.8),
d = 1
)
#> RMSE MAE MAPE R2 Adjusted_R2 Correlation
#> 1 0.2097618 0.2 4.65 0.9945 0.9926667 0.9978635