Comparison Table

class fitbenchmarking.results_processing.compare_table.CompareTable(results, best_results, options, group_dir, pp_locations, table_name)

The combined results show the accuracy in the first line of the cell and the runtime on the second line of the cell.

For Bayesian fitting, accuracy results represent the reciporcal of the confidence that the fitted parameter values are within \(2 \sigma\) of the expected parameter values (calculated using scipy.optimize.curve_fit).