code: def test_named():
      ax = plot_model_comparison(
          x_axis_metric=random_metric1,
          y_axis_metric=random_metric2,
          y_true=y_t,
          y_preds=y_p,
          sensitive_features=g_1,
      )
  
      assert ax.get_xlabel() == "random metric1"
      assert ax.get_ylabel() == "random metric2"
  
imports: from fairlearn.metrics import plot_model_comparison, make_derived_metric, selection_rate
  from sklearn.metrics import accuracy_score
  import numpy
  from .data_for_test import g_1, y_p, y_t
  import pytest
label_desc: Use image node_id 16 for calling a global function with example usage: test_named() without return types