Re: [R] Feature selection for multiclass classification

you might want to search bioconductor https://www.bioconductor.org/ https://bioconductor.org/books/3.13/OSCA.basic/feature-selection.html On Fri, Jun 16, 2023 at 9:04 AM Andrew Zhang wrote: > Hello everyone, can someone share a list of packages that can do feature > selection for multiclass

[R] Feature selection for multiclass classification

Hello everyone, can someone share a list of packages that can do feature selection for multiclass (more than binary) classification? I have large genomic datasets with thousands of genes that I'm trying to use for cancer type (>10) classification, I am wondering if there are any specific

Re: [R] Feature selection using R Caret package: Error in seeds[[num_rs + 1L]] : subscript out of bounds

> On Dec 20, 2016, at 1:30 PM, Its August via R-help > wrote: > > rm(list=ls())set.seed(12345)library(mlbench)library(caret) > options(error=utils::recover) > #Pastebin link for Data: http://pastebin.com/raw/cg0Kiueqmydata.df <- >

[R] Feature selection using R Caret package: Error in seeds[[num_rs + 1L]] : subscript out of bounds

Hello All, I've a dataset of six samples and 1530 variables/features and wish to know the the importance of features. I'm trying to use the "Rank Features By Importance" as mentioned in Feature Selection with the Caret R Package

Re: [R] feature selection

On 21/04/15 05:19, ismail hakkı sonalcan wrote: Hi, I want to make feature selection. Could you help me. Thanks. This posting should win some sort of prize for inanity. cheers, Rolf Turner -- Rolf Turner Technical Editor ANZJS Department of Statistics University of Auckland Phone:

[R] feature selection

Hi, I want to make feature selection. Could you help me. Thanks. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting

Re: [R] feature selection

Although I am sure many here would be happy to help you your question is far too vague. There are many methods for feature selection. You should review the literature and see what would work best for you or consult a statistician. Once you have selected a method and began an initial attempt at

[R] Feature Selection and Regression

Hello, I would like to perform feature selection in a set of features that are used for regression. Especially, those features correspond to the previous day values (e.g Lag24,Lag25,Lag26...) where lag24 is the value 24 hour before. The target variable y is the value at the current time (Using

[R] Feature selection package for text mining

Hi, I am doing a project on authorship attribution, where my term document matrix has around 10450 features. Can you please suggest me a package where I can find the feature selection function to reduce the dimensions. Regards, Venkata Satish Basva [[alternative HTML version deleted]]

Re: [R] Feature selection package for text mining

FSelector Maybe chi-sq is a good starting point. On Wed, Mar 13, 2013 at 2:02 PM, Venkata Satish Basva venkat.satish2...@gmail.com wrote: Hi, I am doing a project on authorship attribution, where my term document matrix has around 10450 features. Can you please suggest me a package where I

Re: [R] Feature selection package for text mining

caret has recursive feature and simple feature filters. I've got some genetic algorithm code (using the GA package). CORElearn also has the relief algorithm and a lot of different measures of feature importance. Max On Mar 13, 2013, at 3:57 AM, C.H. chainsawti...@gmail.com wrote:

Re: [R] Feature selection for kmeans

On 07.02.2013 19:02, SpaceSeller wrote: I know that within sum of squares, DB, sillhouette and cophenetic are indicators of clustering quality, but what indicators I need to observe when I choose attributes for kmeans? There are lots of papers about ways to measure the quality. For example,

[R] Feature selection for kmeans

I know that within sum of squares, DB, sillhouette and cophenetic are indicators of clustering quality, but what indicators I need to observe when I choose attributes for kmeans? -- View this message in context: http://r.789695.n4.nabble.com/Feature-selection-for-kmeans-tp4657830.html Sent

[R] Feature selection for text using R - Please help

Hi all, I am new to R, and am trying to do feature selection on my text data that has about 30k observations and about 15k features. I am interested in using Chi-Sqaured and Mutual Information based feature selection. I tried using FSelector package but found it too slow for my purposes. Are

Re: [R] Feature selection via glmnet package (LASSO)

Hi: When you need to search for a function in R, rely on our good friend, the package sos: library(sos) findFn('elastic net') found 23 matches; retrieving 2 pages HTH, Dennis On Wed, Sep 8, 2010 at 6:58 PM, jjenkner jjenk...@web.de wrote: Hello Lai! You can try the elastic net which is a

Re: [R] Feature selection via glmnet package (LASSO)

Hello Lai! You can try the elastic net which is a mixture of lasso and ridge regression. Setting the parameter alpha to less than one will provide you with more coefficients different from zero. I am not sure about the R implementation. You have to search for it on your own. Johannes -- View

[R] Feature selection via glmnet package (LASSO)

Hello, I'm trying to select features of cetain numbers(like 100 out of 1000) via LASSO, based on multinomial model, however, it seems the glmnet package provides a very sparse estimation of coefficients(most of coefficients are 0), which selects very few number of variables, like

Re: [R] : Feature selection

Date: Sun, 24 Jan 2010 20:05:58 퍝 From: Carlos J. Gil Bellosta c...@datanalytics.com To: Amy Hessen amy_4_5...@hotmail.com Cc: r-help@r-project.org Subject: Re: [R] Feature selection Message-ID: 4b5c9a16.70...@datanalytics.com Content-Type: text/plain; charset=ISO-8859-1; format=flowed Hi, Take

Re: [R] Feature selection

On Sun, 24 Jan 2010, Amy Hessen wrote: Hi, Could you please tell me whether there are feature selection algorithms in R or not such as genetic algorithms? If so, could you please tell me in which package? I can! By following the _posting guide_, I see in the 'Do Your Homework' section

Re: [R] Feature selection

You can check http://cran.r-project.org/web/views/MachineLearning.html Carlos J. Gil Bellosta http://www.datanalytics.com Amy Hessen wrote: Hi, Could you please tell me whether there are feature selection algorithms in R or not such as genetic algorithms? If so, could you please tell me

[R] Feature selection

Hi, Could you please tell me whether there are feature selection algorithms in R or not such as genetic algorithms? If so, could you please tell me in which package? Cheers, Amy _ View

[R] feature selection problem,urgent help need

Hello, I have a problem in feature selection I would be thankful if you can help me. I have a dataset with limited samples (for example 100) and a lot of features (for example 3000) and i have to do feature selection. if i use cross validation (for example *10 fold*) i rank the features based on

[R] Feature selection

Dear R helpers, I'm trying to fit a model for prediction, but I have 18 variables to choose from. So, my question is what are the methods used for choosing the best and smallest subset out of those 18 to predict y ? I tried the common ways: std. and corr, multiple regression is hard