Accuracy Table

class fitbenchmarking.results_processing.acc_table.AccTable(results, best_results, options, group_dir, pp_locations, table_name)

The accuracy results are calculated by evaluating the cost function with the fitted parameters.

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).