def METHOD_NAME():
    mlp = MLP(
        epochs=20, eta=0.05, hidden_layers=[25], minibatches=len(y), random_seed=1
    )
    mlp.fit(X, y)
    assert round(mlp.cost_[-1], 3) == 0.023, mlp.cost_[-1]
    assert (y == mlp.predict(X)).all()