def test_accuracy_all_correct(self):
"Accuracy with all correct predictions"
y_true = [1 for _ in range(50)] + [0 for _ in range(50)]
y_pred = [1 for _ in range(50)] + [0 for _ in range(50)]
score = metrics.accuracy(y_pred, y_true)
self.assertAlmostEqual(score, 1.0)
def test_accuracy_numpy(self):
"Accuracy with numpy arrays"
y_true = np.array([1 for _ in range(50)] + [0 for _ in range(50)])
y_pred = ([1 for _ in range(30)] + [0 for _ in range(20)] +
[0 for _ in range(50)])
score = metrics.accuracy(y_pred, y_true)
self.assertAlmostEqual(score, 0.8)
def test_accuracy(self):
"Accuracy"
y_true = [1 for _ in range(50)] + [0 for _ in range(50)]
y_pred = ([1 for _ in range(30)] + [0 for _ in range(20)] +
[0 for _ in range(50)])
score = metrics.accuracy(y_pred, y_true)
self.assertAlmostEqual(score, 0.8)