Promising antispam technique gets nod

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DKIM versus Bayesian Mail Calssification

I have been using "POPFile" for years on multiple e-mail accounts. It gives me 99.74 percent accuracy in separating spam from good e-mails. Further it allows me to automatically sort the good e-mail into any of several classifications without needing to be dependant upon anyone else or their servers. In spite of all the attempts at Bayesian poisoning, it continues to learn and properly determine what is spam and what is not, totally based upon my own preferences. It is available for FREE from popfile.sourceforge.net. Nothing is ever going to be 100% perfect. This is as good as or better than anything else that I've seen. And the nice thing is that by doing it this way losing good e-mail to somebody else's flawed scheme is reduced to a minimum because I am the one who decides what is good and what is bad. POPFile learns and operates based on the training that I have given it. (That is how I use that other 0.26%). Show me that anyone or anything else can do better and I will evaluate it. I don't think this approach can match it.

Best Regards,

Ed

Posted by: ewodrich   Posted on: 05/27/07 You are currently: a Guest | Members login | Terms of Use

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