cv10mlp                package:dprep                R Documentation

_1_0-_f_o_l_d _c_r_o_s_s _v_a_l_i_d_a_t_i_o_n _e_r_r_o_r _e_s_t_i_m_a_t_i_o_n _f_o_r _t_h_e _m_u_l_t_i_l_a_y_e_r _p_e_r_c_e_p_t_r_o_n _c_l_a_s_s_i_f_i_e_r

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

     10-fold cross validation estimation error for the multilayer
     perceptron classifier.

_U_s_a_g_e:

     cv10mlp(data, units, decay = 0, maxwts = 1000, maxit = 100, 
     repet)

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

    data: The name of the dataset

   units: The number of units in the hidden layer 

   decay: The decay parameter

  maxwts: The maximum number of weights to be estimated in the network

   maxit: The maximum number of iterations

   repet: The number of repetitions

_V_a_l_u_e:

     Returns the mean cross validation for the multilayer perceptron
     classifier

_A_u_t_h_o_r(_s):

     Edgar Acuna

_R_e_f_e_r_e_n_c_e_s:

     Ripley, B.D. (1996). Pattern recognition and Neural networks.
     Cambridge University Press

     Venables,W.N., and Ripley, B.D. (2002). Modern Applied Statistics
     with S. Fourth edition, Springer

_S_e_e _A_l_s_o:

     'crossval', 'cv10log'

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

     #-----cross validation using the MLP classifier---
     data(heartc)
     cv10mlp(heartc,25,decay=0.1,maxwts=1000,maxit=100,repet=5)

