📄 plot.randomforest
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plot.randomForest package:randomForest R Documentation
_P_l_o_t _m_e_t_h_o_d _f_o_r _r_a_n_d_o_m_F_o_r_e_s_t _o_b_j_e_c_t_s
_D_e_s_c_r_i_p_t_i_o_n:
Plot the error rates or MSE of a randomForest object
_U_s_a_g_e:
## S3 method for class 'randomForest':
plot(x, type="l", main=deparse(substitute(x)), ...)
_A_r_g_u_m_e_n_t_s:
x: an object of class 'randomForest'.
type: type of plot.
main: main title of the plot.
...: other graphical parameters.
_V_a_l_u_e:
Invisibly, the error rates or MSE of the 'randomForest' object. If
the object has a non-null 'test' component, then the returned
object is a matrix where the first column is the out-of-bag
estimate of error, and the second column is for the test set.
_N_o_t_e:
This function does not work for 'randomForest' objects that have
'type=unsupervised'.
If the 'x' has a non-null 'test' component, then the test set
errors are also plotted.
_A_u_t_h_o_r(_s):
Andy Liaw
_S_e_e _A_l_s_o:
'randomForest'
_E_x_a_m_p_l_e_s:
data(mtcars)
plot(randomForest(mpg ~ ., mtcars, keep.forest=FALSE, ntree=100), log="y")
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