Move important and unimportant e-mails to a folder of their own. Try to read your e-mails at least once daily or every hour, depending on how much e-mail you receive. Finally, if after following all the above steps you still have e-mails that are weeks old, delete them. No dice; bogus comments still got through. Sadly, what was good enough in 2008 isn't good enough in 2017. In 2017 alone, some 2000 bogus comments made it through. And don't get me started on how much time it has saved me by not having to wade through useless comments every.

Run maintenance at any time. In case you loved this short article along with you want to be given more info about lisinopril cheap price generously go to our own webpage. Of course with this strong of a bias towards precise features of the training set, if you run the classifier against its own training set, it produces no false positives and only 0.3% false negatives, some of which were simply reverted duplicate comments. My trials at home show that if you train the classifier on half the data set (around 5300 bogus comments and 1900 legit comments) and then run it against the other half, I get about 6% false negatives and 1% false positives.

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