On Sun, 13 Nov 2011, RMSOPS wrote:
Hello everybody
I'm having some difficulties to design the decision tree algorithm J48.
I am using the following code and when I run it gives me the following
message
plot(m1)
Error in plot.Weka_tree(m1) :
Plotting of trees with multi-way splits is currently not implemented.
The package "partykit" which recently was released to CRAN should be able
to help here:
library("partykit")
plot(as.party(m1))
Furthermore, write_to_dot(m1, "m1.dot") can always be used as described in
Kurt Hornik, Christian Buchta, Achim Zeileis (2009) Open-Source
Machine Learning: R Meets Weka. Computational Statistics, 24(2),
225-232. doi:10.1007/s00180-008-0119-7
Either use Graphviz directoy on the .dot file or employ Rgraphviz which is
hosted at Bioconductor:
http://www.Bioconductor.org/packages/release/bioc/html/Rgraphviz.html
#The code
library(RWeka)
library(randomForest)
library(party)
if(require(mlbench, quietly = TRUE) && require(party, quietly = TRUE))
m1 <- J48(income2 ~ age+workclass+native.country, data = dataset)
m1
plot(m1)
and results
#M1 Results
workclass = ?: <=50K (1433.0/120.0)
workclass = Federal-gov: <=50K (696.0/281.0)
workclass = Local-gov: <=50K (1542.0/469.0)
workclass = Never-worked: <=50K (5.0)
workclass = Private: <=50K (16939.0/3705.0)
workclass = Self-emp-inc
| age <= 36: <=50K (205.0/65.0)
| age > 36: >50K (652.0/247.0)
workclass = Self-emp-not-inc: <=50K (1926.0/525.0)
workclass = State-gov: <=50K (1010.0/262.0)
workclass = Without-pay: <=50K (13.0/2.0)
Number of Leaves : 10
Size of the tree : 12
I tried installing the package RGraphviz, but is not available in CRAN
repository.
I wonder if there is a package that lets you draw decision trees in a way
more effective than the library(party)
which the classification algorithms more efficient in R
Thanks
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