def precision_recall()

in code/run_eval_prm_trl.py [0:0]

• 11 lines of code
• 5 McCabe index (conditional complexity)

def precision_recall(results: list[dict[str, bool | str | int]]) -> tuple[float] | None:
    """Compute precision and recall over the list of obtained results. """
    errors = []
    corrects = []
    for result in results:
        if result["label"] == -1:
            corrects.append(result["match"])
        else:
            errors.append(result["match"])

    precision = np.mean(errors) * 100 if len(errors) > 0 else None
    recall = np.mean(corrects) * 100 if len(corrects) > 0 else None
    return precision, recall