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emaildetection

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In this paper, we build a spam detector using 4 Machine Learning models and evaluate them with test data using different performance metrics used. The dataset we used was from a shuffled sample of email subjects and bodies containing both spam and ham emails in different proportions, which we converted into lemmas. As per our analysis, Naive Bayes

  • Updated Mar 11, 2018
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