plot.ada

Adaboost

plot.ada                 package:ada                 R Documentation

_P_l_o_t_s _f_o_r _A_d_a

_D_e_s_c_r_i_p_t_i_o_n:

     This function produces plots of the overall classification error
     at each  boosting iteration for both the training and test sets.  
     In addition, the function can produce plots of the measure of
     agreement (kappa)  between the predicted classification and actual
     classification at each  boosting iteration for both the training
     and test sets.

_U_s_a_g_e:

     ## S3 method for class 'ada':
     plot(x, kappa = FALSE, test=FALSE,cols= rainbow(dim(x$model$errs)[2]+1),tflag=TRUE, ...)

_A_r_g_u_m_e_n_t_s:

       x: the object created by 'ada'.

   kappa: option for a plot of Kappa values at each iteration. kappa =
          TRUE produces a plot of Kappa values.  Default = FALSE.

    test: option for a plot of testing error values at each iteration.
          test=TRUE produces a plot of test values.  Default=FALSE.

    cols: colors used for lines to be plotted

   tflag: inicates whether to include the tilte in the plot or not

     ...: additional 'layout' command parameter (see 'layout'). 

_V_a_l_u_e:

     No value returned

_S_e_e _A_l_s_o:

     'ada'