8.8. copro.evaluation.save_out_ROC_curve¶

copro.evaluation.save_out_ROC_curve(tprs, aucs, out_dir)[source]¶

Saves data needed to plot mean ROC and standard deviation to csv-files. They can be loaded again with pandas in a post-processing step.

Parameters

tprs (list) – list with false positive rates.
aucs (list) – list with area-under-curve values.
out_dir (str) – path to output folder. If ‘None’, no output is stored.

8.7. copro.evaluation.init_out_ROC_curve 8.9. copro.evaluation.calc_correlation_matrix