def main():
dataset = make_regression(n_samples=100,
n_features=100,
n_informative=10,
n_targets=1)
objects, target = load_boston(return_X_y=True)
#objects = objects[:,[3, 4, 5, 7, 8, 9, 10, 12]]
x_train, x_test, y_train, y_test = train_test_split(objects,
target,
test_size=0.30,
random_state=10)
world = World(x_train, x_test, y_train, y_test)
world.evolve()
world.draw()
