similar to: RWeka prediction

Hi, I am using some classifiers in RWeka packages and met a couple problems. (1) J48 implements C45 classifier, the C45 should be able to handle missing values in both training set and test set. But I found the J48 classifier can not be evaluated on test set with missing values--it just ignore them. (2) The ensemble classifiers in RWeka such as bagging and boosting: there is a

Hello everybody I'm having some difficulties to design the decision tree algorithm J48. I am using the following code and when I run it gives me the following message plot(m1) Error in plot.Weka_tree(m1) : Plotting of trees with multi-way splits is currently not implemented. #The code library(RWeka) library(randomForest) library(party) if(require(mlbench, quietly = TRUE) &&

Hi all, Although I sent the mail to Piotr, the author of FSelector, it should be better to ask here to let others know. Yanwei Begin forwarded message: From: Yanwei Song <yanwei.song@gmail.com> Date: September 7, 2011 4:41:58 PM EDT To: p.romanski@stud.elka.pw.edu.pl Subject: FSelector and RWeka problem Dear Piotr, Thanks for developing the FSelector package for us. I'm a new

Hi everyone, I have trouble to use RWeka, I tried: (w=weather dataset, all preditors are nominal) > m<-J48(play~., data=w) > e<-evaluate_Weka_classifier(m,cost = matrix(c(0,2,1,0), + ncol = 2),numFolds = 10, complexity = TRUE,seed = 123, + class = TRUE) it gives me exactly what I want, but when I tried the same classifier on the other published data: (iris dataset has all numeric

Hello, I have a question concerning decision trees coming from RWeka : library(RWeka) m =J48(Species~.,data=iris) How could such a decision tree be transferred into a matrix, pretty much in the same fashion, as it is done by getTree() in library(ofw) library(ofw) data(srbct) attach(srbct) ##ofwCART learn.cart.keep <- ofw(srbct,

Hi, I want to save a RWeka model into a file, in order to retrive it latter with a load function. See this example: library(RWeka) NB <- make_Weka_classifier("weka/classifiers/bayes/NaiveBayes") model<-NB(formula,data=data,...) # does not run but you get the idea save(model,file="model.dat") # simple save R command # ... load("model.dat") # load the model

Hi, Being a novice this is my first usage of R. I am trying to use rpart for building a decision tree in R. And I have the following dataframe Outlook Temp Humidity Windy Class Sunny 75 70 Yes Play Sunny 80 90 Yes Don't Play Sunny 85 85 No Don't Play Sunny 72 95 No Don't Play Sunny 69 70 No Play Overcast 72 90 Yes Play Overcast 83 78 No Play Overcast 64 65 Yes Play Overcast 81 75

Hi all, I have already some important variables in the current R session; and I wanted to load some rData file which was saved during the last R session using "save.image"... But how do I avoid the newly loaded data/variables messing with my existing data/variables? In Matlab, I can do: mynewdata=load("imagefromlastRsession.rData") and then I can access the variables

Hi all, I have a package that is specific to a task I was repetitively using a few years ago. I now needed to run it again with new data. However I am told it was built with an older version or R and will not work. How can I tweak the package so it will run on 11.1? It was a one-off product and has not been maintained. Is there a way to "unpackage" it and repackage it to work? I

Dear users, I'll appreciate your help with this (hopefully) simple problem. I have a model object which was fitted to inputs X1, X2, X3. Now, I'd like to use this object to make predictions on a new data set where only X1 and X2 are available (just use the estimated coefficients for these variables in making predictions and ignoring the coefficient on X3). Here's my attempt but, of

Dear all,I want to convert a long integer to a string, and for example, 100000000 I used as.character(1000000000) e.g, and it gives me back 1e+???. What I want is a exact form, not exponential form. Any ideas how to do it? Thank you very much. Regards, Dajiang [[alternative HTML version deleted]]

Dear All, I have a seemingly very simple question, but I just cannot figure out the answer. I attempted to run the following:a=0.1*(1:9);which(a==0.3);it returns integer(0). But obviously, the third element of a is equal to 0.3. I must have missed something. Can someone kindly explain why? Thanks a lot. Regards,Dajiang [[alternative HTML version deleted]]

Hi everyone, I am new to field of data mining as well as particularly using R respectively RWeka for writing my master thesis. I intend to create some specific J48 classification trees with the RWeka_classifiers_tree function. When I run the source code it says ?cannot handle numeric class?. I therefore checked the arff-file and indeed there it says that the class variable is numeric although it

Dear All, I use nlminb or optim for maximizing likelihood functions. Sometimes, the parameter values happen to be NA, then the program will hang there and iterate forever without stopping. No error message will be produced. So I can not use error catch method such as "try". Are there any suggestions how I can circumvent this problem? Maybe I can time a function, and if the time exceeds

Hi, I downloaded RWeka successfully. (At least I do not see, where I could have made a mistake.) Then I tried to load it by the library-command. To my surprise this did not work. Result: library(RWeka) Fehler in .jinit(c(system.file("jar", "weka.jar", package = "RWeka"), system.file("jar", : Cannot create Java Virtual Machine Fehler: .onLoad in

Hello everybody. I'm trying to send the result of a decision tree for latex, but I do not get with the package(xtable), there is a package that make this export Export this for latex marital.status = Divorced | educational.num <= 12: <=50K (1795.0/90.0) | educational.num > 12 | | hours.per.week <= 41: <=50K (302.0/58.0) | | hours.per.week > 41 | | |

Hi, I have a question about using RWeka Clusterers.If you could supply answer or insight, I would really appreciate it. When I run a simple code which uses a clusterer from RWeka I get an error. the sample codes and errors are mentioned below Code: library(RWeka) Cobweb(iris[,-5],control=NULL) Error: Error in names(class_ids) <- nms : 'names' attribute [150] must be the same

Dear R-users, I am running R 2.10.1 under Windows XP Professional. Moreover, I run Java 5.0 and the RWeka package 0.4-1 and rJava 0.8-4. are successfully installed. I get two error messages while loading both packages. library(RWeka) Error in get(Info[i, 1], envir = env) : internal error -3 in R_decompress1 Error: package/namespace load failed for 'RWeka' 2:

Hi, I am using some classifiers in RWeka packages and met a couple problems. (1) J48 implements C45 classifier, the C45 should be able to handle missing values in both training set and test set. But I found the J48 classifier can not be evaluated on test set with missing values--it just ignore them. (2) The ensemble classifiers in RWeka such as bagging and boosting: there is a

Dear All, I am writing an R library myself. The package build ok, and can be installed. But when I load the library into R using library('xyz'), then I type ?xyz for help in one of the functions named xyz as well, the following error occured, No documentation for 'xyz' in specified packages and libraries: I do put the .Rd files into the man folder, and the html help files are all