code: def test_kw_error_labels1():
      with pytest.raises(ValueError):
          plot_model_comparison(
              x_axis_metric=accuracy_score,
              y_axis_metric=make_derived_metric(
                  metric=selection_rate, transform="difference"
              ),
              y_true=y_t,
              y_preds=y_p,
              sensitive_features=g_1,
              axis_labels="true",
          )
  
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 6 for calling a global function with example usage: test_kw_error_labels1() without return types