cv10log                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_s_t_i_m_a_t_i_o_n _e_r_r_o_r _f_o_r _t_h_e _c_l_a_s_s_i_f_i_e_r _b_a_s_e_d _o_n _l_o_g_i_s_t_i_c _r_e_g_r_e_s_s_i_o_n

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

     10-fold cross validation estimation of the misclassification error
     for the classifier based on logistic regression

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

     cv10log(data, repet,maxwts=2500)

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

    data: The name of the dataset

   repet: The number of repetitions

  maxwts: The maximum number of weights to be estimated. It must be an
          integer number greater than the number of predictors of the
          dataset

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

     The mean cross validation error for the classifier based on
     logistic regression using the number of repetition

_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', 'cv10mlp'

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

     #-----cross validation error for the logistic classifier-------
     data(bupa)
     cv10log(bupa,5)

