Spam classifier using support vector machine (LIBSVM) in MATLAB. It creates its own database based on 4150 non-spam emails and 1896 spam emails. It uses the LIBSVM algorithms for training the SVM model and predicting the accuracy of a dataset. In order to use the software, use Octave(a free and open-source alternative of Matlab).
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Spam classifier using support vector machine (LIBSVM)
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