code: def test_cross_val_score(self):
      import sklearn.svm as svm
  
      digits = datasets.load_digits()
  
      df = pdml.ModelFrame(digits)
      clf = svm.SVC(kernel=str("linear"), C=1)
      result = df.model_selection.cross_val_score(clf, cv=5)
      expected = ms.cross_val_score(
          clf, X=digits.data, y=digits.target, cv=5
      )
      self.assert_numpy_array_almost_equal(result, expected)
  
imports: import sklearn.datasets
  import sklearn.svm
  import sklearn.naive_bayes
  import numpy
  import pandas
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 7 for calling the TestSplitter obj's underlying member method code with example usage: obj.test_cross_val_score() without return types