Calculate Performance Metrics for Regression Result

This function calculates performance metrics for a regression result object, including R-squared, Root Mean Squared Error (RMSE), and Spearman correlation.

Usage

# S3 method for class 'regression_result'
performance(x, split_list = NULL, ...)

Arguments

x

A regression_result object.

split_list

Optional named list of split index groups for computing metrics on sub-groups in addition to the full result.

...

extra args (not used).

Value

A named vector with the calculated performance metrics: R-squared, RMSE, and Spearman correlation.

Details

The function calculates the following performance metrics for the given regression result object: - R-squared: proportion of variance in the observed data that is predictable from the fitted model. - RMSE: root mean squared error, a measure of the differences between predicted and observed values. - Spearman correlation: a measure of the monotonic relationship between predicted and observed values.

See also

regression_result

Examples

if (FALSE) { # \dontrun{
  # See performance() generic for examples
} # }