bogotune and "exhaustion"

Boris 'pi' Piwinger 3.14 at logic.univie.ac.at
Mon Mar 29 14:30:40 CEST 2004


Tom Allison wrote:

> Ran into a cute catch-22.
> 
> bogotune wants a sample size that includes some high scoring ham and low 
> scoring spam (maybe) to get a good calculation of what to set the 
> parameters at.
> 
> run corrections to exhaustion tends to remove that high scoring ham, 
> giving you a big fat remark and a shortened bogotune output.
> 
> So, it seems that I can do one or the other but not both on my archives.
> Or I'm doing something wrong.

You are correct. Also the database size requirement wants
you not to tune. It also will probably produce bogus results
since train on error embeds the values during training into
the database. Changing them afterwards will make the
training more or less useless.

pi




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