a7c583e298af07b975869f7046d0cafad89da520,autosklearn/evaluation/util.py,,calculate_score,#Any#Any#Any#Any#Any#Any#,18

Before Change

                                           task=task_type)
            score["pac_metric"] = pac_metric(csolution, cprediction,
                                             task=task_type)
            score["acc_metric"] = acc_metric(csolution, cprediction,
                                             task=task_type)

    else:
        if task_type in REGRESSION_TASKS:
            scoring_func = getattr(regression_metrics, metric)

After Change

                                                                    cprediction)
        else:
            csolution, cprediction = normalize_array(solution, prediction)
            for metric_ in CLASSIFICATION_METRICS:
                score[metric_] = classification_metrics.calculate_score(
                    metric_, csolution, cprediction, task_type)

    else:
        if task_type in REGRESSION_TASKS:
            cprediction = sanitize_array(prediction)
            score = regression_metrics.calculate_score(metric,

Instances