def test_basic_measure_3(self): """ Test classification_model_performance. weighted case. """ observed = np.array([0, 1, 0, 1, 0, 0, 1]) calculated = np.array([0, 1, 1, 0, 0, 0, 1]) measure = evaluation.classification_model_performance(observed, calculated, [1.0, 3.0])
def test_basic_measure_3(self): """ Test classification_model_performance. weighted case. """ observed = np.array([0, 1, 0, 1, 0, 0, 1]) calculated = np.array([0, 1, 1, 0, 0, 0, 1]) measure = evaluation.classification_model_performance( observed, calculated, [1.0, 3.0])
def test_basic_measure_2(self): """ Test classification_model_performance. All correct case. """ observed = np.array([0, 1, 0, 1, 0, 0, 1]) calculated = np.array([0, 1, 1, 0, 0, 0, 1]) measure = evaluation.classification_model_performance(observed, calculated) self.assertAlmostEqual(measure, 0.2857142857140)
def test_basic_measure_2(self): """ Test classification_model_performance. All correct case. """ observed = np.array([0, 1, 0, 1, 0, 0, 1]) calculated = np.array([0, 1, 1, 0, 0, 0, 1]) measure = evaluation.classification_model_performance( observed, calculated) self.assertAlmostEqual(measure, 0.2857142857140)