def testDummyModel(self):
        cwd = os.path.dirname(os.path.abspath(sys.argv[0]))
        
        dummy = Always1Predictor()
        dummy.buildClassifier(os.path.join(cwd,'data/classification/a1a'))
        dummy.validateModel(os.path.join(cwd,'data/classification/a1a.t'))
        self.assertTrue(dummy.get_pctCorrect() > 24) # for data set a1a !!!
dataset/ETHPy150Open whiskey/Machine-Learning/de/staticline/tests/dummytests.py/DummyClassificatorTestCase.testDummyModel/original