code: def test_c45_for_nominal_features_and_nominal_target():
      df = pd.read_csv("dataset/golf.txt")
      model = cb.fit(df, config={"algorithm": "C4.5"}, silent=True)
      assert model["config"]["algorithm"] == "C4.5"
      logger.info(
          "✅ build c4.5 for nominal and numeric features and nominal target test done"
      )
  
imports: import pandas
  from chefboost import Chefboost
  from chefboost.commons.logger import Logger
label_desc: Use image node_id 1 for calling a global function with example usage: test_c45_for_nominal_features_and_nominal_target() without return types