Displaying 20 results from an estimated 731 matches for "classif".

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2009 Mar 12

0

e1071 SVM one-classification tune problem

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...

2009 Jul 11

1

hands-on classification tutorial needed...

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...

2017 Dec 11

1

Gaussian Process Classification R packages

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...

2017 Dec 11

1

Gaussian Process Classification R packages

...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...

2004 Jan 06

2

comparing classification methods: 10-fold cv or leaving-one-out ?

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...

2017 Dec 11

1

Gaussian Process Classification R packages

...AM PST, Damjan Krstajic <dkrstajic at hotmail.com> wrote:
>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 trie...

2017 Dec 11

1

Gaussian Process Classification R packages

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...

2017 Dec 12

1

Gaussian Process Classification R packages

...lt;
> dkrstajic at hotmail.com> wrote:
> >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
>...

2017 Dec 12

1

Gaussian Process Classification R packages

For the record please re-read my original message. It is clear, concise, polite and thankful for future help. I received a reply "Google it!". Thank you!
Thank you Jeff for your links. I am aware of them. However, they do not point to an R package for GP for binary classification which produces prediction intervals.
It seems that r-help is not as it was before. Wish you all the best. Roger and out.
________________________________
From: Bert Gunter <bgunter.4567 at gmail.com>
Sent: 12 December 2017 00:01
To: Jeff Newmiller
Cc: R-help; Damjan Krstajic; Berry,...

2017 Jul 28

4

R-Package for Recursive Partitioning without Classification or Regression

Hello,
I have a question related to recursive partitioning, but I cannot find
an answer, likely because I don't know how to properly word my Google
search query.
All recursive partitioning examples, which I can find, are used for
either classification or regression trees like
library(tree)
data(iris)
tree(Species ~ Sepal.Width + Petal.Width, data = iris)
which implies building a model. However, I would like to split data
like clustering similar to decision tree methods, because I have
nothing to predict.
My question is: Is th...

2017 Dec 11

1

Gaussian Process Classification R packages

Google it!
"R Gaussian process model binary classification."
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Mon, Dec 11, 2017 at 4:53 AM, Damjan Krstajic <dkrstajic at...

2011 Nov 04

4

Decision tree model using rpart ( classification

Hi Experts,
I am new to R, using decision tree model for getting segmentation rules.
A) Using behavioural data (attributes defining customer behaviour, ( example
balances, number of accounts etc.)
1. Clustering: Cluster behavioural data to suitable number of clusters
2. Decision Tree: Using rpart classification tree for generating rules for
segmentation using cluster number(cluster id) as target variable and
variables from behavioural data as input variables.
B) Using profile data (customers demographic data )
1. Clustering: Cluster profile data to suitable number of clusters
2. Decision Tree: U...

2010 Jun 29

7

Need help for SVM code for microarray classification

Hi I am Aadhithya I am trying to write a code to classify microarray data
(AML and ALL) using SVM in R
my code goes like this :
library(e1071)
train<-read.table("Z:/Documents/train.txt",header=T);
test<-read.table("Z:/Documents/test.txt",header=T);
cl <- c(c(rep("ALL",10), rep("AML",10)));...

2003 Feb 12

1

rpart v. lda classification.

I''ve been groping my way through a classification/discrimination
problem, from a consulting client. There are 26 observations, with 4
possible categories and 24 (!!!) potential predictor variables.
I tried using lda() on the first 7 predictor variables and got 24 of
the 26 observations correctly classified. (Training and testing both...

2006 Jul 21

2

rpart unbalanced data

Hello all,
I am currently working with rpart to classify vegetation types by spectral
characteristics, and am comming up with poor classifications based on the fact
that I have some vegetation types that have only 15 observations, while others
have over 100. I have attempted to supply prior weights to the dataset, though
this does not improve the classi...

2017 Jul 18

1

Help-Multi class classification for large datasets

Hai all,
We are working on Multi-class Classification. Currently up to 1.1 million
records Ranger package in R is able to handle. Training time on 128 GB RAM
is 12 days, which is not a practically feasible method to proceed further.
In future we will have dataset of dimension 10 million records, we are in
search for a package or framework whic...

2011 Aug 31

8

!!!function to do the knn!!!

hi, r users
i have a problem with KNN.
i have 2 datasets, X0 and X1.
>dim(X0)
>1471*13
dim(X1)
>5221*13
and for every instances in the dataset X1, i want to find the nearest
neighbour(1nn) in the dataset X0.
and i dont have the true classifications of dataset X1.
but the function knn() need true classifications(cl) to do prediction.
i just curious if there are some other function can do that.
any ideas are appreciated.
mark
--
View this message in context: http://r.789695.n4.nabble.com/function-to-do-the-knn-tp3781...

2009 Jun 17

1

gbm for cost-sensitive binary classification?

I recently use gbm for a binary classification problem. As expected, it gets very good results, based on Area under ROC with 7-fold cross validation. However, the application (malware detection) is cost-sensitive, getting a FP (classify a clean sample as a dirty one) is much worse than getting a FN (miss a dirty sample). I would like to...

2010 Aug 03

1

R: classification tree model!

Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?...
Nom : non disponible
URL : <https://stat.ethz.ch/pipermail/r-help/attachments/20100803/9fb28807/attachment.pl>

2008 Dec 09

1

Can elastic net do binary classification?

Hi, List
The elastic net package (by Hastie and Zou at Stanford) is used to do
regularization and variable selection, it can also do regression. I am
wondering if it can perform binary classification (discrete outcome).
Anybody having similar experience?
Many thanks,
-Jack
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