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5
votes
3answers
353 views
Suitable number of classes for SVM in text categorization
I'm doing text categorization with R and SVM in the package e1071. I have around 30000 text files for training, and 10000 for test. The goal is to hierarchically categorize these files. For example, I ...
3
votes
1answer
815 views
How to obtain decision boundaries from linear SVM in R?
I am in need of a package that can give me the equation for a linear SVM model. Currently I'm using e1071 like so:
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1
vote
1answer
392 views
Using SparseM/Matrix Sparse Matrix in training SVM from e1071 returning different results from same data in standard matrix
Using sparse matrix objects in svm training in e1071 returns different results than running on the same data represented as standard matrix:
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7
votes
3answers
2k views
Improving the SVM classification of diabetes
I am using SVM to predict diabetes. I am using the BRFSS data set for this purpose. The data set has the dimensions of $432607 \times 136$ and is skewed. The percentage of ...
4
votes
2answers
1k views
Spam filtering using naive Bayesian classifiers with the e1071/klaR package on R
I'm looking at doing text classification/spam filtering using naive Bayesian classifiers with the e1071 or klaR package on R. Is there a good tutorial out there to describe this? I'm kind of stuck ...
2
votes
1answer
673 views
MLE for Naive Bayes in R
I am using the naivebayes function of the e1071 library. Some example commands are:
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