tag:blogger.com,1999:blog-9179325420174899779.post5583911339333817103..comments2024-03-29T01:15:14.255-07:00Comments on ExploringDataBlog: Classification Tree ModelsRon Pearson (aka TheNoodleDoodler)http://www.blogger.com/profile/15693640298594791682noreply@blogger.comBlogger8125tag:blogger.com,1999:blog-9179325420174899779.post-88058738579777480582023-12-15T02:12:06.488-08:002023-12-15T02:12:06.488-08:00thanks for valuable information
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Very interesting plot.
Just some detail : i...Hello,<br />Very interesting plot.<br />Just some detail : if you use rpart with the implicit controls, you obtain the trivial tree. But you can change these controls. E.g. with control=rpart.control(cp=0.0001), the number of final nodes is greatest than 100... And the question is : how many are interesting? So, i'm waiting your next post!Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-9179325420174899779.post-86024397055213043252013-04-14T19:19:33.752-07:002013-04-14T19:19:33.752-07:00Thanks. This is very helpful.Thanks. This is very helpful.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-9179325420174899779.post-14344711202777806402013-04-13T19:32:36.326-07:002013-04-13T19:32:36.326-07:00Interesting! I have just started looking at using ...Interesting! I have just started looking at using classification trees for my particular data analyses, and so far it has been very useful, although I find I need to educate myself more about the process.<br /><br />I'd be interested in looking at your ExploringData package when it is ready.<br /><br />Also, I found a free version of what looks to be the pre-press submission of the Japkowizc & Stephen paper. I googled the title, and it is available from what appears to be the author's site, although it is in .ps (PostScript) format. It is easy to convert to a PDF using my Mac's Preview app.<br /><br />Cheers!Anonymousnoreply@blogger.com