def test_load_data(self):
x, y = ls.load_data()
x = str(x)
y = str(y)
temp_x, temp_y = temp.temp_load_x_pima(), temp.temp_load_y_pima()
assert (
x, y == temp_x,
temp_y), "Couldn't load Pima data x and y values at load_data()"
def test_voting_ensemble(self):
results = ls.voting_ensemble()
assert results >= 0.72, "The mean of the cross validation score results doesn't match anticipated value at voting_ensemble()"
def test_sto_grad_boost(self):
results = ls.sto_grad_boost()
assert results >= 0.75, "The mean of the cross validation score results doesn't match anticipated value at sto_grad_boost()"
def test_adaBoost(self):
results = ls.adaBoost()
assert results == 0.760457963089542, "The mean of the cross validation score results doesn't match anticipated value at adaBoost()"
def test_extra_trees(self):
results = ls.extra_trees()
assert results >= 0.75, "The mean of the cross validation score results doesn't match anticipated value at extra_trees()"
def test_rand_forest(self):
results = ls.rand_forest()
assert results >= 0.76, "The mean of the cross validation score results doesn't match anticipated value at rand_forest()"
def test_bagging(self):
results = ls.bagging()
assert results == 0.770745044429255, "The mean of the cross validation score results doesn't match anticipated value at bagging()"