Hallo Norman, 

getting higher accuracy would require to start from the
beginning since the tokenizer you use is not that intelligent and using
anything other more intelligent would require you to start from the
beginning with the learning. 

-- 
Kind Regards from Switzerland,

Stevan
Bajić

On Fri, 25 Jun 2010 15:18:37 +0200, Norman Uittenbogaart  wrote: 


Hi Stevan,

Any suggestions to getting the accuracy up would be great
!
My user is shared,managed in the groups file for the domains used
now..

nor...@t*.nl:
 TP True Positives: 856
 TN True Negatives: 6650
 FP
False Positives: 6
 FN False Negatives: 2097
 SC Spam Corpusfed: 0
 NC
Nonspam Corpusfed: 0
 TL Training Left: 0
 SHR Spam Hit Rate 28.99%
 HSR
Ham Strike Rate: 0.09%
 PPV Positive predictive value: 99.30%
 OCA Overall
Accuracy: 78.11%

 On Fri, Jun 25, 2010 at 3:02 PM, Stevan Bajić 
wrote:

Hallo Norman, 

you asked "what is wrong". Right? Nothing is wrong
with your DSPAM installation. There are things you could do better but
nothing is really, really wrong. 

Could you post the output of
"dspam_stats -H ".  

-- 
Kind Regards from Switzerland,

Stevan Bajić

On
Fri, 25 Jun 2010 14:51:30 +0200, Norman Uittenbogaart  wrote:  

Hello
Stevan,

Herewith enclosed my config.

Kind regards,
Norman

 On Fri, Jun
25, 2010 at 2:25 PM, Stevan Bajić  wrote:

Hello, 

the statistic alone is
not enough information for telling why your accuracy is down. You need to
post your dspam.conf. 

-- 
Kind Regards from Switzerland,

Stevan
Bajić

On Fri, 25 Jun 2010 11:29:06 +0200, Norman Uittenbogaart  wrote: 


I have been running and training dspam for while now, but it is not at
all effective at the moment.
What could be wrong ?

                Since last reset

                2083 missed
                6 missed

                856 caught
                6558 delivered

                29.126%
caught
                0.091% missed

                Total processed by filter
                2097 missed
                6
missed

                856 caught
                6559 delivered

                From corpus
                0 fed
                0 fed


                Overall accuracy (since last reset)
                78.017%
                (SPAM messages caught +
Good messages delivered) / Total number of messages

                Spam identification
(since last reset)
                29.126%
                (Spam catch rate only)

                Spam ratio (of
total processed)
                31.025%
                Total SPAM messages (both caught & missed) /
Total number of
message

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Links:
------
[1] mailto:ste...@bajic.ch
[2] mailto:norm...@gmail.com
[3]
mailto:ste...@bajic.ch
[4] mailto:norm...@gmail.com
[5]
http://p.sf.net/sfu/thinkgeek-promo
[6]
mailto:Dspam-user@lists.sourceforge.net
[7]
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[8]
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[9]
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[10]
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GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the 
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