code: def test_multiclass_n_significant_error(self, X, y_binary):
      with pytest.raises(AssertionError):
          calculate_relevance_table(
              X,
              y_binary,
              multiclass=True,
              n_significant=3,
              ml_task="classification",
          )
  
imports: import warnings
  import mock
  import numpy
  import pandas
  import pytest
  from tsfresh.feature_selection.relevance import calculate_relevance_table, combine_relevance_tables, get_feature_type, infer_ml_task
label_desc: Use image node_id 11 for calling the TestCalculateRelevanceTable obj's underlying member method code with example usage: obj.test_multiclass_n_significant_error(X, y_binary) without return types