code: def test_bad_param():
      ftdf = _ftdf()
      ft_clf = ColLblBasedFtClassifier("txt", bad_param=14)
      with pytest.raises(TypeError):
          ft_clf.fit(ftdf[["txt"]], ftdf["lbl"])
  
imports: import pytest
  import pandas
  from sklearn.model_selection import cross_val_score
  from skift import FirstColFtClassifier, IdxBasedFtClassifier, ColLblBasedFtClassifier, FirstObjFtClassifier, SeriesFtClassifier
label_desc: Use image node_id 17 for calling a global function with example usage: test_bad_param() without return types