code: def test_large_data_set():
      df = pd.read_csv("dataset/car.data")
      model = cb.fit(df, silent=True)
  
      assert model["config"]["algorithm"] == "ID3"
  
      instance = ["vhigh", "vhigh", 2, "2", "small", "low"]
      prediction = cb.predict(model, instance)
      assert prediction == "unacc"
  
      instance = ["high", "high", "4", "more", "big", "high"]
      prediction = cb.predict(model, instance)
      assert prediction == "acc"
  
file_path: chefboost/tests/test_id3.py
imports: import pandas
  from chefboost import Chefboost
  from chefboost.commons.logger import Logger
label_desc: Use image node_id 6 for calling a global function with example usage: test_large_data_set() without return types