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)
