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I am a happy Spambayes user for years, and I always see the same
pattern: the system works worderfully, and you keep training it with
the false positives/negatives. So good so far.

After a while the detection rate goes worse, slowly. And training get
slower (the probability change after a training cycle moves far slower).

My usual approach would to delete the database and retrain again. But
this implies a period (a week or two) of mediocre results, even
training with "recent" spam.

I was thinking about something like going over the database and reduce
all counters to 50%, instead of simply starting fresh over.

What do you do?.

I am using 1.1a4, a bit modded (custom database, etc), should I
upgrade to 1.1a6?. I am using SB as a library in my own personal
antispam project, not acting as a proxy.

PS: My spam threhold is 90%. Maybe i should move it down?. In fact my
ranges are ham <20%, 20%<unsure<90%, spam>90%. Are they reasonable?.

My "bayescustomize.ini" is:

"""
[Storage]
persistent_use_database:pickle
cache_messages:True
no_cache_bulk_ham:True
[Classifier]
x-experimental_ham_spam_imbalance_adjustment:True
[Hammie]
[Tokenizer]
#mine_received_headers:True
#train_on_filter:True
[pop3proxy]
listen_ports:110
remote_servers:127.0.0.1:111
"""

- --
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