Hi Maxim

Been using bayesIt! for quite awhile and as someone else said in this
thread 0.7.3 has been he best for me yet. Below are the current 0.7.5
stats, which has had a higher rate of error.

I will take 0.7.6 and create a new base, as I have 4500 pieces of spam
to work from and I will report with this thread on the stats.

**********************************************************************

Non-spam frequency dictionary:
              ~bayesit\base\spamdict.bye
°       Size: 10323 letters.
°       Capacity: 194632 words.

Current active base:
°       Active current base contains 93085 words.
°       Status: OK

Last day statistic
General numbers
°       Spam traffic (bytes): 105514
°       Spam letters: 22
°       NON-spam traffic (bytes): 318522
°       NON-spam letters: 56
°       Total traffic (bytes): 424036
°       Total letters: 78
°       Part of the spam in terms of letters: 28.21%.
°       Part of the spam in terms of traffic (bytes): 24.88%.


Errors
°       SPAM errors (letters): 0%.
°       SPAM errors (traffic): 0%.
°       NON-spam errors (letters): 0%.
°       NON-spam errors (traffic): 0%.
°       Totally errors (letters): 0%.
°       Totally errors (traffic): 0%.

Last week statistic
General numbers
°       Spam traffic (bytes): 1490443
°       Spam letters: 317
°       NON-spam traffic (bytes): 3448920
°       NON-spam letters: 444
°       Total traffic (bytes): 4939363
°       Total letters: 761
°       Part of the spam in terms of letters: 41.66%.
°       Part of the spam in terms of traffic (bytes): 30.17%.

Errors
°       SPAM errors (letters): 1.58%.
°       SPAM errors (traffic): 2.05%.
°       NON-spam errors (letters): 0%.
°       NON-spam errors (traffic): 0%.
°       Totally errors (letters): 0.66%.
°       Totally errors (traffic): 0.62%.

Last month statistic
General numbers
°       Spam traffic (bytes): 6538000
°       Spam letters: 1436
°       NON-spam traffic (bytes): 15659659
°       NON-spam letters: 2902
°       Total traffic (bytes): 22197659
°       Total letters: 4338
°       Part of the spam in terms of letters: 33.1%.
°       Part of the spam in terms of traffic (bytes): 29.45%.

Errors
°       SPAM errors (letters): 3.27%.
°       SPAM errors (traffic): 3.57%.
°       NON-spam errors (letters): 0%.
°       NON-spam errors (traffic): 0%.
°       Totally errors (letters): 1.08%.
°       Totally errors (traffic): 1.05%.
**********************************************************************

-- 
Neal Laugman

Using The Bat! v3.0.1.33 and BayesIt! 0.7.5 on Win2000 SP4


________________________________________________________
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