On 7/11/2013 1:16 PM, k...@rice.edu wrote:
> On Thu, Jul 11, 2013 at 01:03:36PM -0500, Elvar wrote:
>> On 7/10/2013 10:21 PM, P.V.Anthony wrote:
>>> On 11/07/2013 01:31, Elvar wrote:
>>>> I apologize for taking so long to reply but here it finally is. I have
>>>> been aggressively training since my last email over a month ago and
>>>> while I haven't had a single false positive, I still get a lot of spam
>>>> which is often the same type I keep retraining. I have my preferences
>>>> set to block as much as possible during the training period. Here are
>>>> some personal stats regarding catchrate and missrate. Thankfully I don't
>>>> have much training left and I'm hoping once training is finished it gets
>>>> drastically more effective.
>>> Please note that I am not an expert. Just sharing my experience.
>>>
>>> For my config, I have set it to TOE and has given great results.
>>>
>>> Noticed that you are also using postgresql. I am using version 9.2. The
>>> dspam is on CentOS 64bit and using the epel rpm package.
>>>
>>> If you are using the same, there might be a problem with the postgresql
>>> library linking. Have not had the time to recompile the postgresql
>>> module for dspam. Something to look at.
>>>
>>> P.V.Anthony
>>>
>> I'll check out TOE and see if it makes a difference. I am using Ubuntu
>> Server 13.04 so hopefully that same issue with pgsql isn't present.
>> Thanks for the reply.
>>
>> Kind regards,
>> Elvar
>>
> Hi Elvar,
>
> I does not matter during the initial startup because during that period
> DSPAM uses TEFT automatically. However, once you leave the initial period
> (2000 messages, I think.) TEFT mode will start over-training and result
> in a decrease in accuracy over time and due to the surplus of tokens seen
> make retraining more difficult as well. TOE mode avoids this problem by
> only changing tokens when an actual error is made which will give the
> best results over time.
>
> Cheers,
> Ken
>

Thanks Ken!



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