similar to: Boosting, bagging and bumping. Questions about R tools and predictions.

Hi UseRs - I am new to R, and could use some help making out-of-sample predictions using a boosting model (the mboost command). The issue is complicated by the fact that I have panel data (time by country), and am estimating the model separately for each country. FYI, this is monthly data and I have 1986m1 - 2009m12 for 9 countries. To give you a flavor of what I am doing, here is a simple

I am using bagging to perform Bagged Regression Trees on count data (bird abundance in Britain and Ireland, in relation to climate and land cover variables). Predictions from the final model are visually believable but I would really like a diagnostic equivalent to classification success that can be used to decide if a model is adequate. Whereas with classification data an error rate is returned,

Hi there. I was wondering if somebody knows how to perform a bagging procedure on a classification tree without running the classifier with weights. Let me first explain why I need this and then give some details of what I have found out so far. I am thinking about implementing the bagging procedure in Matlab. Matlab has a simple classification tree function (in their Statistics toolbox) but

Hi, Is here anyone knows the difference between rapart and bagging when grow a CART tree? Thanks Qin

Hi I am using boosting for a classification and prediction problem. For some reason it is giving me an outcome that doesn't fall between 0 and 1 for the predictions. I have tried type="response" but it made no difference. Can anyone see what I am doing wrong? Screen output shown below: > boost.model <- gbm(as.factor(train$simNuance) ~ ., # formula +

Hi, First, thanks to those who helped me see my gross misunderstanding of randomForest. I worked through a baging tutorial and now understand the "many tree" approach. However, it is not what I want to do! My bagged errors are accpetable but I need to use the actual tree and need a single tree application. I am using rpart for a classification tree but am interested in a more unbaised

Hello! Does anyone know how to apply bagging for SVM? ( for example) I am using adabag package to execute bagging but this method, "bagging", works with classification trees. I would like to apply my bagging to other classifiers as SVM,RNA or KNN. Has anyone do it? Thanks!! [[alternative HTML version deleted]]

Good morning all. I am doing bagging with package caret. I need bagging for a classification problem. I am working with " bag". bag(x, y, B = 10, vars = NULL, bagControl = bagControl(), ...) bagControl(fit = NULL, predict = NULL, aggregate = NULL, downSample = FALSE) My fit function is: svmFit <- function(x, y, ...) { library(e1071)

Hi all, Could you please give me some pointers about what's the best boosting package in R currently? in terms of classification accuracy? And any pointers about tutorials and study-materials to curb the learning curve will be greatly appreciated! Thank you! p.s. Does anybody happen to know Boosting implemented in other language such as Matlab? Are they good in terms of accuracy? What

Each time I run rsync it copies the same files even though I haven't made any changes. I doesn't copy all the files each time, just the same ones each time I run the command. I run rsync with the following command: rsync --verbose --stats --recursive user@host::directory directory The local system is Suse linux 9 and the remote system is Windows 2000 server. I have the same results

Greetings. I'm trying to determine whether to use rpart or randomForest for a classification tree. Has anybody tested efficacy formally? I've run both and the confusion matrix for rf beats rpart. I've looking at the rf help page and am unable to figure out how to extract the tree. But more than that I'm looking for a more comprehensive user's guide for randomForest including

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Good day eveyone, I'm hoping that someone can help me. Perhapps i'm overlooking the obvious, in truth, I hope that I am. I've scoured the mailing list and google, and haven't come up with much. I have a Digium T400P thats been connected to a channel bank for testing for some time now. all has been well. I've now just had

Hi List, I can't seem to find a package that implements boosting for multi-class classification. Does such a package exist?

# I need to generate some data. I'm modeling some time series that follow a # negative exponential decay (mostly). I have 20 samples that can easily be fit with cubic splines. # What I want to do is generate many thousands of similar samples using the parameters from the splines # For instance one data sample looks not unlike this: foo.curve <- 1 * exp(-0.01 * 1:500) + 0.5

Hi, I'm analysing some anthropometric data on fifty odd skull bases. We know the gender of each skull, and we are trying to develop a predictor to identify the sex of unknown skulls. Rpart with cross-validation produces two models - one of which predicts gender for Males well, and Females poorly, and the other does the opposite (Females well, and Males poorly). In both cases the error

Hello the code : set.seed(10) y<-c(1:1000) x1<-c(1:1000)*runif(1000,min=0,max=2) x2<-c(1:1000)*runif(1000,min=0,max=2) x3<-c(1:1000)*runif(1000,min=0,max=2) lm_fit<-lm(y~x1+x2+x3) summary(lm_fit) set.seed(10) all_data<-data.frame(y,x1,x2,x3) positions <- sample(nrow(all_data),size=floor((nrow(all_data)/4)*3)) training<- all_data[positions,] testing<-

Patch is here: https://github.com/openwrt/packages/commit/1263599f96f13f11d719ce336dfb6a639b32de98 . Probably needs to be modified for inclusion into mainline.

Dear sir, If I want to use bagging with SVM, which package should I choose?Thanks! Best wishes,Jie _________________________________________________________________ [[alternative HTML version deleted]]

Dear sir,I have a data set which name is "c78p",now I want to deal with it with bagging. % of data from c78p as training set is 50%,and number of bootstrap random samples with replacement from c78p is 5,use SVM in each run,can you help me to write the code?Thanks.Best regards,Jie _________________________________________________________________ [[alternative HTML version

Hi, Sorry, It comes by fetching ENVELOPE, not BODYSTRUCTURE. For example: A01 UID FETCH 24 (ENVELOPE) * 4 FETCH (UID 24 ENVELOPE ("Fri, 08 Dec 2017 09:44:35 +0900" "test2" ((NIL NIL "service" "paypal.com")) (("dev1" NIL "dev1-bounces" "example.com")) ((NIL NIL "service" "paypal.com")) (("user1"