Spam filtering is a classification problem. In a classification problem, the following are the common metrics used to measure efficacy : True positives : Those data points where the outcome is spam and the document is actually spam. True Negatives: Those data points where the outcome is not spam and the document is actually not…
You have come up with a Spam classifier. How do you measure accuracy ?
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