def get_classification_accuracy(feature_matrix, sentiment, coefficients):
scores = np.dot(feature_matrix, coefficients)
apply_threshold = np.vectorize(lambda x: 1. if x > 0 else -1.)
predictions = apply_threshold(scores)
num_correct = (predictions == sentiment).sum()
accuracy = num_correct / len(feature_matrix)
return accuracy