We recently benchmarked our R Server (Intel Xeon 2.2GHz, 128 GB RAM, Centos 6.2
running R 2.15.2 64bit) where we tested various read / write / data
manipulation times. A 6 GB dataset took around 15 minutes to read without
colClassses. The dataset had around 10 million rows and 14 columns.
Wer
Quinlan asked us to call the
results of that function as "J48" and not "C4.5". Using C5.0 with a single tree
is much similar to C4.5 than J48.
- the differences between model trees and Cubist are also substantial and
largely undocumented.
HTH,
Max
Â
On T
Another thing that you can try is changing the Path. Make sure the PATH
environment variable has the path to R 3.0 before R 2.15.3 in the string.
Regards,
Indrajit
On Thu, 25 Apr 2013 22:10:52 +0530 wrote
>a) See FAQ 2.17
b) Methods for configuring operating systems are off topic
Hi All,
I am trying to use the C50 package to build classification trees in R.
Unfortunately there is not enought documentation around its use. Can anyone
explain to me - how to prune the decision trees?
Regards,
Indrajit
[[alternative HTML version deleted]]
4 matches
Mail list logo