tags:

views:

103

answers:

0
Q: 

"Confidence score" for each point in SVM using Kernlab?

Hi, I've created a kernel regression model (though this question would work with a SVM classification model as well). I'd like to determine the distance between the point and the hyper-plane for each point.

Does anyone know if kernlab returns this or is there another R-based SVM package I could use?

Thanks

related questions

SVM Visualization in MATLAB
Nominal Attributes in LibSVM
Calculating Nearest Match to Mean/Stddev Pair With LibSVM
Issues in Convergence of Sequential minimal optimization for SVM
A good machine learning technique to weed out good URLs from bad
Optimizing SMO with RBFKernel (C and gamma)
Error plotting SVM classification graph
SVM Classification - minimum number of input sets for each class
training time and overfitting with gamma and C in libsvm
How to approach machine learning problems with high dimensional input space?
How do I get ruby-svm to look for libraries in macports' /opt/local?
Data Classification:sizes of training and test vectors
How to do multi class classification using Support Vector Machines (SVM).
Weights from linear SVM model (in R)?
Any python Support Vector Machine library around that allows online learning?
Implementing a linear, binary SVM (support vector machine)
Unsupervised classification methods available
Help using predict() for kernlab's SVM in R?
Know any good c++ support vector machine (SVM) libraries ?
How do I plot a classification graph of a SVM in R
Pointers to some good SVM Tutorial ...
Multivariate mapping / regression with objective function
How do you resolve issues with named pipes?
Best MATLAB toolbox that implements Support Vector Regression?