search for: misclass

.../36-350.2001/lectures/day32/ In order to use the functions cited I followed the instructions as follows: Installed tree package from CRAN mirror (Ca-1) Downloaded and sourced the file "tree.r" Downloaded the function "clus1.r" Having defined a tree "tr, when I write "misclass(tr,x$test)" as shown in the link I get an error message that "R does not find the function pred1.tree". Is this function included in the tree package? If so it was not in my download. Is this a bug? Do you know of a fix? Thanks for your help Meir <<clus1.r>> <&lt...

I use knncat to make a predictive model and get misclass rate > knncat.m<-knncat(training.new,k=c(10,20),classcol=5) > knncat.m Training set misclass rate: 36.88% then I try to calculate prediction accuracy by the following: > pr.knncat.train <- predict (knncat.m,training.new,training.new,train.classcol=5,newdata.classcol=5) > tb...

...ade of 5 different numbers. They do represent something but it would take too long to explain. I want to try and find a classification rule for the 5 numbers in the rows based on the columns so I created a classification tree and plotted that and then pruned it. My question is how do you print the misclassification rate at each node on the actual diagram of the classification tree. I can't seem to get it up there. In my notes it uses gmistext() but I have a feeling that it's for Splus rather than R as gmistext() doesn.t work for me either. Second question is when I try using the predict.tre...

...class "0". 3. I can see this problem even when running the example script under ?knncat. Given example from ?knncat, and expected behavior: ======================= library(knncat) library(MASS) # Load data set syncat <- knncat (synth.tr, classcol=3) ## Not run: syncat Train set misclass rate: 12.8 synpred <- predict (syncat, synth.tr, synth.te, train.classcol=3, newdata.classcol=3) table (synpred, synth.te$yc) synpred 0 1 0 460 91 1 40 409 ======================= Actual behavior: ========================================== > librar...

Hi. I have to make some minor modifications to the text.tree function - I don't like the way it prints the split labels (they are too long in my case and overlap). I tried to make s simple modification to the text.tree function so that it will limit the number of significant digits in tree labels, but could not - the original function uses some undocumented "treeco" function, which

...ree.screens () # useless plot(myfit); text (myfit, all= TRUE, cex=0.5, pretty=0) # tile.tree (myfit, fgl$type) # useless # close.screen (all= TRUE) # useless My current tree plot resulted from above code shows as: 1. overlapped #s caused by unsuitable length of branch. 2. no misclassification rates: 'misclass.tree' only brings up the error of ' misclassification error rate is appropriate for factor responses only', but my response y is 0/1 data. 3. Unsuitable location of notations: there are not two notation of splitting criteria on the two branches when a no...

...i use k=NULL, then it will not plot the resultant tree. library(tree) ds=iris; iris=transform(iris, Species = factor(Species, labels = letters[1:3])) miris <- tree(Species ~ ., data = iris, control=tree.control(nobs = 150, minsize = 5, mincut = 2)); iris.prun=prune.tree(miris, method=c("misclass"), best = NULL, k=0); iris.prun; summary(iris.prun); plot(iris.prun) best regards Muhammad Azam [[alternative HTML version deleted]]

Hello, I'm attempting to classify data using tree(). summary(tree()) indicates that I have a very good classification rate. What I'd like to know is which tokens in the data set are correctly classified and which are not. Is there a method for associating the classification with the token? I've been reading Chambers and Hastie (1992) chapter 9 on tree-based models, but find no

...details of the compiler failure appear .... As for speed comparisons: A piece of the ch14 script from V&R2 (highly C-dependent), Solaris 2.6, Sparc 20 (about 4 years old) library(MASS) library(tree) data(fgl) unix.time({ fgl.tr <- tree(type ~ ., fgl) fgl.cv <- cv.tree(fgl.tr,, prune.misclass) for(i in 2:5) fgl.cv$dev <- fgl.cv$dev + cv.tree(fgl.tr,, prune.misclass)$dev fgl.cv$dev <- fgl.cv$dev/5}) gcc2.8.1 60.26secs cc SC4.0 60.35secs (the close agreement is fortuitous: I had to tune each to get about 10% improvement in speed). Brian -- Brian D. Ripley,...

HI Is there any function in R that tells us error rate(misclassification rate) for logistic regression type classification? i also want to know the function to determine type I and type II error. I have found a link where "misclass" and "confusion" are used. But I dont know the package name. http://alumni.media.mit.edu/~tpminka/courses/3...

...in match.fun does not understand group generics, and gets Browse[1]> FUN .Primitive("!=") This _should_ launch Ops.factor, but does not. > "!="(A, B) [1] FALSE FALSE > get("!=")(A, B) Warning: "" not meaningful for factors [1] NA NA This causes misclass.tree(, detail=F) in package tree to fail. --please do not edit the information below-- Version: platform = sparc-sun-solaris2.6 arch = sparc os = solaris2.6 system = sparc, solaris2.6 status = status.rev = 0 major = 0 minor = 64.0 year = 1999 month = April day = 8 language = R Searc...