code: def is_multi_agg_metric(metric):
      """Returns if the given metric is a multi-aggregation metric.
  
      The metric will be a multi-aggregation metric if it is a precision,
      recall, accuracy or f1 score metric.
  
      :param metric: Metric to check.
      :type metric: str
      :return: True if metric is a multi-agg metric.
      :rtype: bool
      """
      return (
          metric in precision_metrics
          or metric in recall_metrics
          or metric == Metrics.ACCURACY_SCORE
          or metric in f1_metrics
      )
  
file_path: responsible-ai-toolbox/erroranalysis/erroranalysis/_internal/metrics.py
imports: import numpy
  from sklearn.metrics import accuracy_score, confusion_matrix, f1_score, mean_absolute_error, mean_squared_error, median_absolute_error, precision_score, r2_score, recall_score
  from erroranalysis._internal.constants import Metrics, ModelTask, f1_metrics, precision_metrics, recall_metrics
label_desc: Use image node_id 14 for calling a global function with example usage: is_multi_agg_metric(metric) and returns: unknown