Displaying 20 results from an estimated 10000 matches similar to: "cross validation of SVM"
2010 Jan 06
1
svm
Hi,
I understand from help pages that in order to use a data set with svm, I have to divide it into two files: one for the dataset without the class label and the other file contains the class label as the following code:-
library(e1071)
x<- read.delim("mydataset_except-class-label.txt")
y<- read.delim("mydataset_class-labell.txt")
model <- svm(x, y, cross=5)
2010 Jun 14
2
Multiple regressions
Hi,
Could you please tell me whether SVM can do multiple regression or not?
Cheers,
Amy
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2012 Dec 02
1
e1071 SVM: Cross-validation error confusion matrix
Hi,
I ran two svm models in R e1071 package: the first without cross-validation
and the second with 10-fold cross-validation.
I used the following syntax:
#Model 1: Without cross-validation:
> svm.model <- svm(Response ~ ., data=data.df, type="C-classification",
> kernel="linear", cost=1)
> predict <- fitted(svm.model)
> cm <- table(predict,
2010 Jul 11
1
The formula interface of SVM
Hi
Could you please explain the line that I got from the documentation of R? does it mean that there is a difference between using and not using the formula interface with SVM ?:
If the predictor variables include factors, the formula interface must be used to get a correct model matrix.
Cheers,
Amy
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2010 Nov 23
5
cross validation using e1071:SVM
Hi everyone
I am trying to do cross validation (10 fold CV) by using e1071:svm method. I
know that there is an option (?cross?) for cross validation but still I
wanted to make a function to Generate cross-validation indices using pls:
cvsegments method.
#####################################################################
Code (at the end) Is working fine but sometime caret:confusionMatrix
2012 Mar 02
1
e1071 SVM: Cross-validation error confusion matrix
Hi,
I ran two svm models in R e1071 package: the first without cross-validation
and the second with 10-fold cross-validation.
I used the following syntax:
#Model 1: Without cross-validation:
> svm.model <- svm(Response ~ ., data=data.df, type="C-classification",
> kernel="linear", cost=1)
> predict <- fitted(svm.model)
> cm <- table(predict,
2007 Oct 27
1
problems in cross validation of SVM in pakage "e1071"
Hi:
I am a newer in using R for data mining, and find the "e1071" pakage an excellent tool in doing data mining work!
what frustrated me recently is that when I using the function "svm" and using the "cross=10" parameters, I got all the "accuracies" of the model greater than 1. Isn't that the accuracy should be smaller than 1? so I wander how, the
2007 Sep 25
1
10- fold cross validation for naive bayes(e1071)
Hallo!
I would need a code for 10-fold cross validation for the classifiers Naive Bayes and svm (e1071) package. Has there already been done something like that?
I tried to do it myself by applying the tune function first:
library(e1071)
tune.control <- tune.control(random =F, nrepeat=1, repeat.aggregate=min.,sampling=c("cross"),sampling.aggregate=mean, cross=10, best.model=T,
2004 Dec 16
2
reading svm function in e1071
Hi,
If I try to read the codes of functions in e1071 package, it gives me following error message.
>library(e1071)
> svm
function (x, ...)
UseMethod("svm")
<environment: namespace:e1071>
> predict.svm
Error: Object "predict.svm" not found
>
Can someone help me on this how to read the codes of the functions in the e1071 package?
Thanks.
Raj
2006 Dec 08
1
please help me for svm plot question
I run the following code, all other is ok,
but plot(m.svm,p5.new,As~Cur) is not ok
Anyone know why?
install.packages("e1071")
library(e1071)
library(MASS)
p5 <- read.csv("http://www.public.iastate.edu/~aiminy/data/p_5_2.csv")
p5.new<-subset(p5,select=-Ms)
p5.new$Y<-factor(p5.new$Y)
levels(p5.new$Y) <- list(Out=c(1), In=c(0))
attach(p5.new)
2006 Dec 07
1
svm plot question
I run the following code, all other is ok,
but plot(m.svm,p5.new,As~Cur) is not ok
Anyone know why?
install.packages("e1071")
library(e1071)
library(MASS)
p5 <- read.csv("http://www.public.iastate.edu/~aiminy/data/p_5_2.csv")
p5.new<-subset(p5,select=-Ms)
p5.new$Y<-factor(p5.new$Y)
levels(p5.new$Y) <- list(Out=c(1), In=c(0))
attach(p5.new)
2006 Feb 16
1
reg cross validation in svm
Hi
My name is karthikeyan.
I am using svm in R for my data set.
my data set contain 60 finance ratio as variables and i want to classify
into group of good and bad.
I want to know how to do the crossvalidation for the svm .
first i am doing modelling and i am predict and i am calculating the
probabilities
how can i do the cross validation and how can i plot the svm for this
variables
2010 Mar 14
1
formula and class label
Hi,
Could you please tell me whether there is a difference in the result of svm when using formula instead of class label?
Cheers,
Amy
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2006 Jan 27
3
e1071: using svm with sparse matrices (PR#8527)
Full_Name: Julien Gagneur
Version: 2.2.1
OS: Linux (Suse 9.3)
Submission from: (NULL) (194.94.44.4)
Using the SparseM library (SparseM_0.66)
and the e1071 library (e1071_1.5-12)
I fail using svm method with a sparse matrix. Here is a sample example.
I experienced the same problem under Windows.
> library(SparseM)
[1] "SparseM library loaded"
> library("e1071")
2001 Nov 20
2
segfault using svm from e1071 (PR#1178)
This could be a bug in the e1071 svm code, but maybe not -- I guess I'll
send it here anyway. It's reproducible.
> x <- seq (0.1,5,by=0.05)
> y <- log(x) + rnorm (x, sd=0.2)
> library(e1071)
> m <- svm (x,y)
Process R segmentation fault at Tue Nov 20 23:34:19 2001
> version
_
platform i686-pc-linux-gnu
arch i686
os
2010 Apr 06
3
svm of e1071 package
Hello List,
I am having a great trouble using svm function in e1071 package. I have 4gb of data that i want to use to train svm. I am using Amazon cloud, my Amazon Machine Image(AMI) has 34.2 GB of memory. my R process was killed several times when i tried to use 4GB of data for svm. Now I am using a subset of that data and it is only 1.4 GB. i remove all unnecessary objects before calling
2003 Dec 10
3
e1071:svm - default epsilon = 0.1 (NOT 0.5) (PR#5671)
In e1071 package/svm default epsilon value is set to 0.1 and not 0.5
as documentation says.
R
2006 Jan 18
2
Help with plot.svm from e1071
Hi.
I'm trying to plot a pair of intertwined spirals and an svm that
separates them. I'm having some trouble. Here's what I tried.
> library(mlbench)
> library(e1071)
Loading required package: class
> raw <- mlbench.spirals(200,2)
> spiral <- data.frame(class=as.factor(raw$classes), x=raw$x[,1], y=raw$x[,2])
> m <- svm(class~., data=spiral)
> plot(m,
2010 May 14
4
Categorical Predictors for SVM (e1071)
Dear all,
I have a question about using categorical predictors for SVM, using "svm"
from library(e1071). If I have multiple categorical predictors, should they
just be included as factors? Take a simple artificial data example:
x1<-rnorm(500)
x2<-rnorm(500)
#Categorical Predictor 1, with 5 levels
x3<-as.factor(rep(c(1,2,3,4,5),c(50,150,130,70,100)))
#Catgegorical Predictor
2010 Mar 14
1
Error in object$tables[[v]] : subscript out of bounds
Hi,
Could you please tell me how I correct the following error message?
“Error in object$tables[[v]] : subscript out of bounds”
This is the code:
library(e1071)
data(iris)
attach(iris)
class_label <- names(iris)[1]
myformula <- formula(paste(class_label,"~ ."))
mymodel<-naiveBayes(myformula, iris,cross=3)
predict(mymodel,iris) ##Error in object$tables[[v]] :