docstr: Returns
  ----------
  bool : True if metric is maximizable, False otherwise
docstr_tok: ["Returns","--","--","--","--","--","bool",":","True","if","metric","is","maximizable",",","False","otherwise"]
code: def is_max_optimal(self):
      """
      Returns
      ----------
      bool : True if metric is maximizable, False otherwise
      """
      return _catboost.is_maximizable_metric(str(self))
  
imports: from functools import partial
  import numpy
  from .None import _catboost
label_desc: Use image node_id 5 for calling the BuiltinMetric obj's underlying member method code with example usage: obj.is_max_optimal() and returns: _catboost