similar to: Classification tree data structure

Dear R-helpers, I had a conversation with a guy working in a "business intelligence" department at a major Spanish bank. They rely on recursive partitioning methods to rank customers according to certain criteria. They use both SAS EM and Salford Systems' CART. I have used package R part in the past, but I could not provide any kind of feature comparison or the like as I have no

I am trying to make a decision tree using rpart. The function runs very quickly considering the size of the data (1742, 163). When I call the summary command I get this: > summary(bookings.cart) Call: rpart(formula = totalRev ~ ., data = bookings, method = "class") n=1741 (1 observation deleted due to missingness) CP nsplit rel error 1 0 0 1 Error in yval[, 1] :

Apologies for cross posting.... --------------------------------------------------------------------- CART Data Mining'04: First International CART(R) Conferences Focusing on the Data Mining technology of Leo Breiman, Jerome Friedman, Richard Olshen, Charles Stone (CART, MARS(R), TreeNet(tm), PRIM(tm)...) First Call For submissions

I am trying to use the CART in a survival analysis. I have three variables of interest (all 3 ordinal - x, y and z, each of them with 5 categories) from which I want to make smaller groups (just an example 1st category from X variable with the 2nd and 3rd categories from the Y category and 2, 3 and 4 categories from the Z category etc) based on their, let's say, association with mortality. Now

Hi, I have a table of x rows and y columns. The table is huge and so i'd like to create a subset of the data containing rows where any of the y values are below a threshold, say 1e-4. Is there a simple way of doing this in R? thanks Rich

How are the lower/upper whiskers defined in the default version of boxplot {graphics}? I tried help(boxplot) and searching www.rseek.org, but I was unable to determine an absolute answer. I checked out the definition of boxplot according to Wikipedia (http://en.wikipedia.org/wiki/Box_plot), but it also had several approaches listed for how the whiskers could be determined, so I'm just

Suppose one estimates a classification or regression tree (CART) for one group or one time period; and then estimates a CART for another group or time period. Is there a way to test for a structural change or break across the two groups or between the two time periods, in other words, is there an analogue of a Chow Test for CART? Has anyone ever seen anything like this or have any ideas how one

Hello, I would like to know how to know if a classification tree is predictive or not ? Is it sufficient to analyse results of cross validation? Thanks for your help Laure Maton

Hi, I am trying to use CART to find an ideal cut-off value for a simple diagnostic test (ie when the test score is above x, diagnose the condition). When I put in the model fit=rpart(outcome ~ predictor1(TB144), method="class", data=data8) sometimes it gives me a tree with multiple nodes for the same predictor (see below for example of tree with 1 or multiple nodes). Is there a way

Hello List, I've been unsuccessful in tracking down a package that does MART. J Friedman's website has a page that mentions an R implementation but the links lead nowhere. There is also a nice walkthru/vignette pdf on his site. But I can not find this package anywhere. Perhaps it's commercial? Does anyone know of where it might be available or of any other R package (or Matlab

Hello, I am trying to make a load balance at my box using two conections. I have compile my kernel with this patch routes-2.6.13-12.diff (tha I get from this website: http://www.linuxvirtualserver.org/~julian/#routes). The problem is that when I try to balance using weight sintaxe (i will put the script bellow) some conectios just drop. So I can enter some pages but other I could not...

Hi dear R-help memebers, When building a CART model (specifically classification tree) using rpart, it is sometimes obvious that there are variables (X's) that are meaningful for predicting some of the outcome (y) variables - while other predictors are relevant for other outcome variables (y's only). *How can it be estimated, which explanatory variable is "used" for which of

Dear R members, I have been trying to find out whether one can use multivariate regression trees (for example mvpart) to analyze repeated measures data. As a non-parametric technique, CART is insensitive to most of the assumptions of parametric regression, but repeated measures data raises the issue of the independence of several data points measured on the same subject, or from the same plot

According to Dr. Breiman, the RF should be more accurate method than a single tree. However, the performance of each method seems to depend on the proprotion of outcome variable in my case. My data set is a typical classification problem (predict bad guys). When I ran both of them with different proportion of outcome variables(there's a criterion to measure the degree of bad behavior), I

I'm hoping that folks out there with expertise in working with the party package can help me out here. My team is trying to convert party tree output into a text file format that can be read by our image processing software. We are running into difficulties because the way the two different programs identify their nodes is different. R numbers it's nodes 1, 2, 3, 4, 5, 6 etc. down the

Hi all! The randomForest in R enables us to prune the trees using the nodesize feature where we can stop splitting a node if it contains less than the specified no.of of records/entities at that node. However is there a way to stop the tree growing after a specified number of levels. To be more clear on what I mean by a level. Level 0 is the parent node, Level 1 has 2 daughter nodes, Level 2 has

Anybody out there successfully using the Salford Fortran compilers with R? I have created a DLL using the Salford FTN95 compiler and it works in as far I can dyn.load it, run the routines and get the right answers back. Unfortunately subsequently, sometime later, the Rgui crashes (access violation I think from the DrWatson log). The crashes depend on whether or not I paste the code as one

Hi, How's the testing going? I compressed 194 individual .wav files (totaling 8.54GB) which contained tracks ripped from many varied albums. I unflacced them and compared their md5 signature with the same from the original .wav. They were all perfect. I didn't use the -V option just in case of any chance of mis-reporting. I hope to test it with the complete collection of ~41GB

One of the issues I've consistently run into with the cortado player app is seek behavior, so I was curious to see how cortado handles video encoded with the latest ffmpeg2theora (0.26) and the new -seek-index option, so I tried converting an h.264 video: ffmpeg2theora tronlegacy-tsr1_480p.mov --seek-index This output the following advisory messages: > Allocated 372 bytes for theora

Hello R-devel: I have written a package, called "woods", that does classification trees (R function CT), and currently, only the most basic functionality of Random Forest, e.g. bagged trees with choices about sample size, with/without replacement, size of (random) subset of covariates drawn when nodes are split. My reason for writing this is twofold. First, I wanted to base this