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()