Performance evaluation of classifiers for spam detection with benchmark datasets

Abstract

Detection of unwanted, unsolicited mails called spam from email is an interesting area of research. Researchers with the help of machine learning algorithms normally find the best classifier that distinguishes a spam from a benign mail called ham. It is necessary to evaluate the performance of any new spam classifier using standard data sets. The public… (More)

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Cite this paper

@article{Bindu2016PerformanceEO, title={Performance evaluation of classifiers for spam detection with benchmark datasets}, author={V. Bindu and Ciza Thomas}, journal={2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)}, year={2016}, pages={17-22} }