search for: classif

Hello all, I am using the e1071 SVM with the tune options for classification, which work pretty well, given the examples of using tune.svm function for classification. But I have not found any example to tune the SVM novelty detection (one-classification) parameters (gamma, cost, nu), for example this are some of the options I have tried with no success: obj<-tun...

Dear all, I am having a hard time to figure out a suitable test for the match between two nominal classifications of the same set of data. I have used hierarchical clustering with multiple methods (ward, k-means,...) to classify my dat into a set number of classesa, and I would like to compare the resulting automated classification with the actual - objective benchmark one. So in principle I have a...

...) by Ripley to train a neural net on a test dataset, I have obtained predictions for a validtion dataset using: PP<-predict(nnetobject,validationdata) Using PP I can find the -2 log likelihood for the validation datset. However what I really want to know is how well my nueral net is doing at classifying my binary output variable. I am new to R and I can't figure out how you can assess the success rates of predictions. Any help and examples would be much appreciated. Best wishes, Nathaniel Grey Research Associate Wolfson Research Associate University of Durham ______________________...

Hi all, I am doing binary classification and want to improve the classification results on imbalanced response data. Currently the performance is poor. Are there ways I could improve the performance? I could either try different classification methodologies, or try exploring the data more, and throwing away noisy data, and manipu...

Hi everyone, Could somebody explain to me what is the package/function for classification analysis. I am performing analysis of music files in the form of MIDI files. I end up with about 750 dependent variables from the analysis, I also have a number of independent/grouping variables that I set manually. What I would like is to be able to predict which group a particular MIDI fil...

Hi All, I wrant to do Random Forest classification. I installed R, randomForest classifier package for R but dont know how to use it. Is there any Open Source Remote sensing application which do RF classification on satellite images? Anyone r has random forest classification example? Any language or package example no problem. Does anyo...

I have kindly asked for help and I am sad to receive such a reply from some on the r-help list. I did google it prior to sending my request, and I could not find any R package which provides GP classification model which produces prediction intervals for each sample. I would be grateful if anybody could inform me about it. Thank you. ________________________________ From: Bert Gunter <bgunter.4567 at gmail.com> Sent: 11 December 2017 15:50 To: Damjan Krstajic Cc: r-help at r-project.org S...

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 nn...

...of these files when displayed online. For instance, see below: https://cran.r-project.org/web/packages/bst/index.html The order of vignette links on CRAN is different from what I hoped for: > vignette(package="bst") Vignettes in package 'bst': pros Cancer Classification Using Mass Spectrometry-based Proteomics Data (source, pdf) static_khan Classification of Cancer Types Using Gene Expression Data (Long) (source, pdf) khan Classification of Cancer Types Us...

Thank you Charles Berry for your kind reply. I don't see anything wrong with the word "struggling". I have spent several hours trying various R packages like kernlab and GPfit to use GP to create a binary classification model which produces a prediction interval for each sample. I have been struggling because with all of them you may create a GP classification model but it only produces a single prediction probability, and not a prediction interval of probabilities. Packages that I have tried may provide a...

Hi what would you recommend to compare classification methods such as LDA, classification trees (rpart), bagging, SVM, etc: 10-fold cv (as in Ripley p. 346f) or leaving-one-out (as e.g. implemented in LDA)? my data-set is not that huge (roughly 200 entries) many thanks for a hint Christoph -- Christoph Lehmann <christoph.lehmann at gm...

...links to R packages, R functions, and to "The Gaussian Processes Web Site" which has a table of possibly relevant softwares. It seems like there is a lot there to digest. HTH, Chuck > I did google it prior to sending my request, and I could not find any R package which provides GP classification model which produces prediction intervals for each sample. I would be grateful if anybody could inform me about it. Thank you. > > > ________________________________ > From: Bert Gunter <bgunter.4567 at gmail.com> > Sent: 11 December 2017 15:50 > To: Damjan Krstajic...

...the inner loop new objects (in this case vectors). I posted this question in a non-directly related with pure R-problems list (in grass-stats). In addition, I think I wasn't precise enough. Many thanks for your time in advance, Nikos --- The data * A list of 10 different names called "classifications" * "data.frames" starting with the "classification" names and a common "_thresholds" suffix. Each "_thresholds" data.frame contains 10 columns with numeric values (each column consists of 875 rows) The goal I want to create a new vector for ea...

Dear all For my research, I am learning classification now. I was trying some example about classification tree pakages, such as tree and rpart, for instance, in Pima.te dataset have 8 variables (include class=type): library(rpart) library(datasets) pima.rpart <- rpart(type ~ npreg+glu+bp+skin+bmi+ped+age,data=Pima.te, method='class...

Hi there, I am interested in using R for machine learning (supervised classification). Currently, I have been investigating especially the rpart, tree, and randomForest package, and have achieved first results. are there any experiences, how the learned classificators could be used in e.g. C ? in other words, I want to "transfer" the learned predictor from R to C-...

I am implementing an image classification algorithm using the randomForest package. The training data consists of 31000+ training cases over 26 variables, plus one factor predictor variable (the training class). The main issue I am encountering is very low overall classification accuracy (a lot of confusion between classes). However...

Estimadísimo Carlos: Muchísimas gracias por responderme y hacerlo tan rápido. Contemplé esa posibilidad, es decir, que el hiperparámetro estuviera suponiendo un problema, y probé de esta forma: > learner <- lrn("classif.ranger", num.trees = 5, mtry = NULL) Error: Element with key 'classif.ranger' not found in DictionaryLearner! Pero obtuve el mismo error. Como muestro. Reconozco el error de imprecisión al plantear la duda, por no poner esta experiencia. Este resultado...

...data through that. There are 114 rows in the training data and 117 in the test data and 1024 columns in both. It's actually the same set of data split into two. The rows are made 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...

Hi, I'm experimenting with random forests and want to perform a binary classification task. I've tried some of the sample codes in the help files and things run, but I get a message to the effect 'you don't have very many unique values in the target - are you sure you want to do regression?' (sorry, don't know exact message but r is busy now so can't...

Dear All, I am struggling to find an R package which contains a function for building a Gaussian Process model for binary classification which may produce prediction intervals for predicted probabilities. I would be grateful if somebody could point me to such package. Thank you very much in advance. DK [[alternative HTML version deleted]]