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Implementation of naive bayes algorithm to filter spam mails.Also used SVMs.

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Part 1 : for spam class : precision : 336/349 = .96
recall : 336/363 = .93 f score = .95

for ham class : precision : 987/1014 = .97
recall : 987/1000 = .98 f score = .97

Part 2 : for spam class : Precision : 355/367=.97
recall : 355/363=.98 f score = .97

for ham class : Precision : 988/996 = .99
Recall : 988/1000 = .988 f score = .989

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Implementation of naive bayes algorithm to filter spam mails.Also used SVMs.

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