Calculate Performance Metrics for Regression Result
performance.regression_result.Rd
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, ...)
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.