A email spam classifier using support vector machine in octave
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Updated
Jan 28, 2022 - MATLAB
A email spam classifier using support vector machine in octave
Linear classifier using Support Vector Machines (SVM) which can determine whether an email is Spam or not with an accuracy of 98.7%. Used regularization to prevent over-fitting of data. Pre-processed the E-mails using Porter Stemmer algorithm. Used a spam vocabulary to create a Feature Vector for each E-mail. Prints the top 15 predictors of spam
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