def human__decision_tree():
    """ Decision Tree
    """

    # build data
    N = 1000000
    M = 3
    X = np.zeros((N,M))
    X.shape
    y = np.zeros(N)
    X[0, 0] = 1
    y[0] = 8
    X[1, 1] = 1
    y[1] = 8
    X[2, 0:2] = 1
    y[2] = 4

    # fit model
    xor_model = sklearn.tree.DecisionTreeRegressor(max_depth=2)
    xor_model.fit(X, y)

    return xor_model