code: def test_adult():
      train = data_file("adult", "train_small")
      test = data_file("adult", "test_small")
      cd = data_file("adult", "train.cd")
  
      learn_pool = Pool(data=train, column_description=cd)
      test_pool = Pool(data=test, column_description=cd)
  
      model = CatBoostClassifier(iterations=5, loss_function="Logloss")
      model.fit(learn_pool, eval_set=test_pool)
  
      predictions = model.predict(test_pool)
  
imports: import os
  import six
  from catboost import CatBoostClassifier, Pool
label_desc: Use image node_id 2 for calling a global function with example usage: test_adult() without return types