code: def test_c45_for_nominal_features_and_numeric_target():
      df = pd.read_csv("dataset/golf3.txt")
      _ = cb.fit(df, config={"algorithm": "Regression"}, silent=True)
      logger.info(
          "✅ build regression for nominal features and numeric 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_numeric_target() without return types