code: def test_Classifications(self, algo):
      iris = datasets.load_iris()
      df = pdml.ModelFrame(iris)
  
      mod1 = getattr(df.ensemble, algo)(random_state=self.random_state)
      mod2 = getattr(ensemble, algo)(random_state=self.random_state)
  
      df.fit(mod1)
      mod2.fit(iris.data, iris.target)
  
      result = df.predict(mod1)
      expected = mod2.predict(iris.data)
  
      self.assertIsInstance(result, pdml.ModelSeries)
      self.assert_numpy_array_almost_equal(result.values, expected)
  
file_path: pandas-ml/pandas_ml/skaccessors/test/test_ensemble.py
imports: import pytest
  import sklearn.datasets
  import sklearn.ensemble
  import sklearn.metrics
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 3 for calling the TestEnsemble obj's underlying member method code with example usage: obj.test_Classifications(algo) without return types