summary.ada

Adaboost

summary.ada               package:ada               R Documentation

_S_u_m_m_a_r_y _o_f _m_o_d_e_l _f_i_t _f_o_r _a_r_b_i_t_r_a_r_y _d_a_t_a (_t_e_s_t, _v_a_l_i_d_a_t_i_o_n, _o_r _t_r_a_i_n_i_n_g)

_D_e_s_c_r_i_p_t_i_o_n:

     'summary' lists the model information for fitted model and final 
     confusion matrix.

_U_s_a_g_e:

     ## S3 method for class 'ada':
     summary(object, n.iter=NULL, ...)

_A_r_g_u_m_e_n_t_s:

  object: object generated by 'ada'.

  n.iter: specific iteration to obtain the trainig and testing
          information at.

     ...: other arguments not used by this function.

_D_e_t_a_i_l_s:

     'summary' produces a summary of the original function call, method
     used for boosting for a specific iteration,  accuracy, and kappa 
     statistic (a measure of agreement between the observed
     classification and  predicted classification) for the training
     data.  

     In addition, if any other data set (i.e. test or validation) has
     been incorporated to the 'ada' object (see 'addtest'),  'summary'
     produces analogous information.

_S_e_e _A_l_s_o:

     'ada','predict.ada', 'plot.ada','pairs.ada'