similar to: question about adaboost.

Hello, I performed a boosting analisis with adabag package to obtain a classification tree with the following set of commands: Tesis.boost <- adaboost.M1(Captura~., data=Tesis2, mfinal=2) > arb<-Tesis.boost$tree[[1]] > post(arb, file ="") > post(arb, file ="",title= "Arbol 1") I would like to know the meanning of the numbers that appeared in the

http://bugzilla.netfilter.org/show_bug.cgi?id=586 Summary: Problems changing the source address of a packet Product: libnetfilter_queue Version: unspecified Platform: All OS/Version: All Status: NEW Severity: blocker Priority: P1 Component: libnetfilter_queue AssignedTo: laforge at netfilter.org

my problem can be explained with the following example: x <- 1:12 y <- 13:24 a <- data.frame(x = x, y = y) ## if i write a$x ## it returns [1] 1 2 3 4 5 6 7 8 9 10 11 12 ## but the function get doesn't recognize a$x. Instead it produces the following error: get("a$x") Error in get(x, envir, mode, inherits) : variable "a$x" was not found i intend to do

OK, Thanks a lot Karl and Elf. It's clear to me now. Shoutcast gives you (by default) a much larger burst and that's the difference I was seeing. By the way: do you know sources for lists of stations? I see a "stream directory" at icecast.org, but I don't know if it's available to download (I think using a program to dig the info from the web is not ethical, as least

Hi, I?ve seen that shoutCAST sends data much faster than real time when you connect (for a while I assume, otherwise you?d be travelling to the future:). That?s useful for fast buffering. With icecast I don?t get that behavior, stream downloads at real time. Is there a way to buffer data faster than real time? Maybe a ?seek? feature? I need that because I need to allocate a special large

Hi, I want to connect as a client. Please let me know about the listings you mention. I?ve just asked this on another thread in the dev list: I see a "stream directory" at icecast.org, but I don't know if it's available to download (I think using a program to dig the info from the web is not ethical, as least without permission). Shoutcast has a nice directory but

I was wandering if anybody ever tried to compare the classification accuracy of nnet to other (rpart, tree, bagging) models. From what I know, there is no reason to expect a significant difference in classification accuracy between these models, yet in my particular case I get about 10% error rate for tree, rpart and bagging model and 80% error rate for nnet, applied to the same data. Thanks.

Dear R-helpers, I am looking for a segmentation package that gives some "tree identifier" as output for every observation in the data set (my response variable is binary). I have skimmed through "rpart", "ada" and "adabag": The output "trees" gives you the formula, but I have to run several thousand segmentations on different data sets and it

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'm going to implement AdaBoost algorithm in R. Just wanted to ensure that there is no implementation of any boosting algorithm in R... don't want to reinvent the wheel... -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Dear all, I'm using adaBoost from the ada package to build a classification model. After training the model in R I'd like to use it in a Python application. Is it possible to export the model in some way to make translating into python easier? Any help would be greatly appreciated. Thanks. Bob

Hi, I have been searching everywhere for an implementation of those algorithms, but I have only observed them in Matlab and on the literature. I noticed a package called 'ada' in CRAN but it is not for multi class. I would be happy with just Adaboost.m2, Smoteboost over adaboost.m2 or any other combination that could account for imbalanced multiclass classification problems. Thanks!

Dear R-Helper, I want to know, is there any function/package can handle adaboost more two classes? I know packages gbm and boost, but there are only for 2 classes (correct me if I mistake). Regards, Muhammad Subianto

Ok, so basically I have a dataframe named data_frame data_frame contains: startdate startprice endpricethreshold1 endpricethreshold2 endpricethreshold3 all of these endpricethresholds are true/false binary vectors. They are true or false depending on whether the endprice was above or below whatever the endpricethreshold is. now I want to try to use lets say the general linear model to have

Hi, all, When running > AB.fit=adaboost(ylearn, xlearn, xtest, presel=0) I got the following error: Error in `[[<-.data.frame`(`*tmp*`, preds, value = c(4L, 6L, 6L, 6L, 3L, : replacement has 186 rows, data has 62 The data structure is attached below: [1] "ylearn" [1] 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 [40] 1 1 1 1 1 1 1 0

Hi all; Happy new year. I have got the following error rror in if (nrow(object$splits) > 0) { : argument is of length zero when I am running the following codes. train <- c(sample(1:27,18), sample(28:54, 18), sample(55:81, 8)) a2011.adaboost <- boosting(median_kod ~ ., data = b[train, ], boos=TRUE, mfinal = 10, control = rpart.control(minsplit = 0)) Regards, Greg [[alternative

Hello, I'm trying to use adabag to make bagging and boosting with bagging() and adabost.M1(), respectively, but in both cases it produces an abnormal termination of R. My code is: bagging(I.NOSOCO~EDAD+SEXO+ESTANCIA+ADMISI?N+T.CIRUG?+DURACI?N+CONTAMIN +PROFILAX+E.PREOPE+V.PERIFE+V.CENTRA+S.VESICA+S.NASOGA+DREN.ABI+DREN.CER

Dear mailing list, For two normal distributions, e.g: r1 =rnorm(20,5.2,2.1) r2 =rnorm(20,4.2,1.1) plot(density(r2), col="blue") lines(density(r1), col="red") Is there a way in R to compute/estimate the point(s) x where the density of the two distributions cross (ie where x has equal probability of belonging to either of the two distributions)? Many Thanks Eleni

Hi! I am doing a course about the R software and I have a couple of doubts. In one of the tasks we were asigned, we have to perform a function that simulates a bus' trip with 25 stops. In each of those stops, between 0 and 6 people can go on board. And when the total of passengers reaches 44, no more people can go on board. stops <- 25 passengers <- 0 register <- numeric(25) bus

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