RE: [Classifier4j-devel] Several questions regarding Classifier4J

[Nick L. <nl...@es...>]

> > >>> - Is it possible to have a better rating granularity 
> than just match
> > >>> and not match? I thought of something like
> > >>>   5 rating levels that a news may be rated (very good, good,
> > >>> moderate, bad, very bad).
> > >>
> > >> Well - the matching returns a percentage match I think.  So
> > >> you could test the returned result and say, for example.. that
> > >> a 0-.2 would be very good, .2-.4 good, .4-.6 moderate, etc.
> > >>
> > > Well I am talking of the other way, giving good or moderate as
> > > input into classifier4j. Using trainMatch and trainNonMatch
> > > this does not seem to be possible.
> >
> > This would be possible in theory, but there is no support 
> for it in C4J
> > and it would be quite a lot of work to add it.
> 
> Couldn't you have 5 categories (very good, good, moderate, 
> bad, very bad)
> setup? In training, allow the user to select the category an 
> item is best
> suited, under the covers call "trainMatch" to the category which they
> select, and then call "trainNonMatch" to every other category?
> 
> Then it's a matter to calling isMatch using each category to 
> determine which
> category the item is best suited....
> 

This would work, but it doesn't sound quite like what he is after. I would
think that training something as "moderate" should also go towards the "very
good" score, too.

Nick