similar to: bagging algorithm

Dear Sir, I got a problem with my program. I would like to classify my data using bagging support vector machine ensemble. I split my data into training data and test data. For a given data sets TR(X), K replicated training data sets are first randomly generated by bootstrapping technique with replacement. Next, Support Vector Mechine (SVM) is applied for each bootstrap data sets. Finally, the

Dear Sir, Yes, I want to generate the data by two Gaussian but mean from one of them generatated from polar its coordinates. I am confused about the algorithm? I know how to generate two Gaussian data with certain mean&covariance matrix using mvnorm but what about mean from its polar coordinates? Thanks for your help. Best wishes, Iut ------Pesan Asli------ Dari: John Kane Ke: Iut Tri Utami

Dear Sir, My name is Iut Tri Utami. i am beginning user. I have a problem about generate data in R. It consists of one disk generated by a Gaussian N(0, 0.167) and one ring generated by a Gaussian N(R, 0.1). The mean R was generated from its polar coordinates. The angle was drawn from a uniform distribution on the interval (0, 2ð), and the radius, from a Gaussian N(1.5, 0.1). The class sizes are

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,

I'm having the most weird problem with bagging function. For some unknown reason it does not improve the classification (compared to rpart), but instead gives much worse results ! Running rpart on my data gives error rate of about 0.3 and bagging, instead of improving this results, gives error rate of 0.9 !!! I'm running both rpart and bagging with exactly the same parameters, I even

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]]

I wanted to report this issue here so others may not find themselves alone and as the author is apparently active on the list. I havent done an exhaustive test by any means, cause I dont have time. But here's a small example. Apparently the "ns" argument is the one that is killing it. I've gotten several different segfault messages, the only other one I remember said "out

Has anyone any experience of applying observational weights in bagging? I am performing regression trees (continuous data on bird abundance) and need to account for sampling intensity. In a single tree, i.e. a call of rpart, I can specify weights either by having a separate vector called weights, or by a variable called weights in the dataframe under analysis. Both produce sensible (and identical)

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

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

Mr/Mrs I am Lili Puspita Rahayu, student from Bogor Agriculture University. I wanna ask that why package ZIGP (Zero inflated Generalized Poisson) is not there anymore? is there any other packages that can analyze ZIGP? I am very grateful for the assistance of R. I am looking forward to hearing from you. Thank you very much. Sincerely yours Lili Puspita Rahayu [[alternative HTML version

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

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

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<-

Greetings, I'm using MSM (mutli-state markov modeling) package to study the progression of fibrosis in U.S hepatitis C population. I find this is a very fascinating tool for an applied researcher like myself. I have a four stage progression only model without any absorbing stage, also assuming no misclassification error in the data for the time being. I also have a couple covariates in the

Dear List, My first R function is a rip-off bagging algorithm from pg. 138 of Everitt and Hothorn's "Handbook of Statistical Analyses using R" (HSAUR). I'm using recursive partitioning to develop a set of useful variables in diagnosing ADHD. I'm running this in ESS in XEmacs 21.4.19, R 2.4.1 on Slackware Linux 11.0 with a 2.6 kernel. This is almost an entire script,

Dear Mr/Mrs I am Lili Puspita Rahayu, student from magister third level of Statistics in Bogor Agriculture University. Mr/ Mrs, now I'm analyzing the Zero inflated Poisson (ZIP), which is a solution of the Poisson regression where the response variable (Y) has zero excess. ZIP now I was doing did not use real data, but using simulated data in R. Simulations by generating data on variables

Hola, El problema está con el nombre de las columnas y las filas del fichero que importas. Mira este detalle tras hacer la importación: > names(mort) [1] "X" "X15.24..79." "X25.34..79." [4] "X35.44..79." "X45.54..79." "X55.64..79." [7] "X65.74..79." "X75.84..79."