

bayesclass(mlbench)                          R Documentation

_B_a_y_e_s _c_l_a_s_s_i_f_i_e_r

_D_e_s_c_r_i_p_t_i_o_n_:

     Returns the decision of the (optimal) Bayes classifier
     for a given data set. This is a generic function, i.e.,
     there are different methods for the various mlbench
     problems.

     If the classes of the problem do not overlap, then the
     Bayes decision is identical to the true classification,
     which is implemented as the dummy function
     `bayesclass.noerr' (which simply returns `z$classes'
     and is used for all problems with disjunct classes).

_U_s_a_g_e_:

     bayesclass(z)

_A_r_g_u_m_e_n_t_s_:

       z: An object of class `"mlbench"'.

_E_x_a_m_p_l_e_s_:

     # 6 overlapping classes
     p <- mlbench.2dnormals(500,6)
     plot(p)

     plot(p$x, col=bayesclass(p))

