![]() After marking those messages as “good”, the accuracy improved further and by the end of the third day, SpamSieve was accurate about 98% of the time. By the end of the second day, there were no spam messages that made it past the program, but there were a few emails incorrectly identified as spam. Because I had a huge number of emails to use in the initial training, SpamSieve became accurate very quickly. You simply mark messages as “good” or “spam” and the program does the rest. The training process is actually quite easy. ![]() Again, these steps aren’t terribly complex, but from a user’s standpoint, it seems they could be automated. There’s also the issue of changing the default Junk mailbox. While this is a simple point and click operation, it’s too bad SpamSieve can’t automatically load the plugin. The program is downloaded and installed in the normal manner, but then there’s a plugin to install. The installation process itself for SpamSieve is a bit convoluted, but there are detailed step-by-step instructions. SpamSieve works with Apple Mail (and several other email programs) to do one thing: filter out the spam. That’s when I discovered SpamSieve for the Mac. ![]() It had become apparent that the spam filters in Apple Mail simply weren’t up to the task of weeding out much of the junk rolling in.Ī few days ago, after deleting a very large batch of spam, I searched for a way to solve the spam problem without forcing all of my contacts to go through a convoluted authorization process. Over the past couple of years, my daily load of spam has increased to well over 200 messages a day.
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