plot.C5.0 {C50} | R Documentation |
Plot a decision tree
Description
Plot a decision tree.
Usage
## S3 method for class 'C5.0'
plot(x, trial = 0, subtree = NULL, ...)
Arguments
x |
an object of class |
trial |
an integer for how many boosting iterations are
used for prediction. NOTE: the internals of |
subtree |
an optional integer that can be used to isolate
nodes below the specified split. See
|
... |
options passed to |
Value
No value is returned; a plot is rendered.
Author(s)
Mark Culp, Max Kuhn
References
Quinlan R (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, http://www.rulequest.com/see5-unix.html
See Also
Examples
mod1 <- C5.0(Species ~ ., data = iris)
plot(mod1)
plot(mod1, subtree = 3)
mod2 <- C5.0(Species ~ ., data = iris, trials = 10)
plot(mod2) ## should be the same as above
## plot first weighted tree
plot(mod2, trial = 1)
[Package C50 version 0.1.8 Index]