code: def _str_items_custom(self):
      return [
          "Anomaly Score: {}".format(self.mean_score()),
          "Normalized Anomaly Score: {}".format(
              self.mean_normalized_score()
          ),
      ]
  
imports: import h2o
  from h2o.model import MetricsBase
label_desc: Use image node_id 1 for calling the H2OAnomalyDetectionModelMetrics obj's underlying member method code with example usage: obj._str_items_custom() and returns: list