sa-learn dump output

[Leigh Sharpe]

Hi All,

Running sa-learn --dump magic, I get the following:

 

0.000          0          3          0  non-token data: bayes db version
0.000          0       2550          0  non-token data: nspam
0.000          0        953          0  non-token data: nham
0.000          0     136341          0  non-token data: ntokens
0.000          0 1152517342          0  non-token data: oldest atime
0.000          0 1155768845          0  non-token data: newest atime
0.000          0 1155769625          0  non-token data: last journal sync atime
0.000          0 1155301653          0  non-token data: last expiry atime
0.000          0    2764800          0  non-token data: last expire atime delta
0.000          0      22790          0  non-token data: last expire reduction count

Can somebody clarify the meaning of the output for me? Does this indicate that sa-learn has been fed 953 hams and 2550 spams? Or is it just the number of tokens learnt, not necessarily related to the number of mails actually fed to it?

Since I only train on false negatives these days, I find it hard to beleive they could have gotten so far out of balance, as they were fairly close the last time I checked.

On that note, should I be feeding it more ham at the moment?

 

 

Regards,
             Leigh

 

Leigh Sharpe
Network Systems Engineer
Pacific Wireless
Ph +61 3 9584 8966
Mob 0408 009 502
email [EMAIL PROTECTED]
web www.pacificwireless.com.au