code: def _gen_ax():
      fig = plt.figure()
      ax = fig.add_subplot(111)
      return ax
  
imports: import matplotlib.pyplot
  from sklearn_evaluation.plot.util import requires_properties
  from sklearn_evaluation.report.serialize import EvaluatorHTMLSerializer
  from sklearn_evaluation.report.report import Report
  from .util import estimator_type, class_name
  from .None import plot
  from .telemetry import SKLearnEvaluationLogger
label_desc: Use image node_id 1 for calling a global function with example usage: _gen_ax() and returns: ax