Description
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.
Usage
"plot"(x, kappa = FALSE, test=FALSE,cols= rainbow(dim(x$model$errs)[2]+1),tflag=TRUE, ...)
Arguments
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).