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Posted to user@mahout.apache.org by Grant Ingersoll <gs...@apache.org> on 2011/09/15 17:48:10 UTC
(C)NB classifier scores
What's the interpretation of scores for the output from the new (complementary) naive bayes classifiers? Larger is better, right?
Thanks,
Grant
Re: (C)NB classifier scores
Posted by Robin Anil <ro...@gmail.com>.
yes
On Thu, Sep 15, 2011 at 10:39 PM, Grant Ingersoll <gs...@apache.org>wrote:
> Sorry for my poor wording.
>
> Just to confirm:
> for CNB, smaller is better?
> for NB, larger is better?
>
> On Sep 15, 2011, at 12:23 PM, Robin Anil wrote:
>
> > Smaller is better(negative number so largest of the negative number in
> > absolute value), this is to say if you have the lowest affinity to the
> > complement class, you have highest affinity to the actual class which the
> > data belongs to.
>
>
> > Unless the new computation is spitting out positive numbers
> > in which case its the largest.
>
> :-)
>
> >
> > On Thu, Sep 15, 2011 at 9:18 PM, Grant Ingersoll <gsingers@apache.org
> >wrote:
> >
> >> What's the interpretation of scores for the output from the new
> >> (complementary) naive bayes classifiers? Larger is better, right?
> >>
> >> Thanks,
> >> Grant
> >>
> >>
> >>
>
>
>
Re: (C)NB classifier scores
Posted by Grant Ingersoll <gs...@apache.org>.
Sorry for my poor wording.
Just to confirm:
for CNB, smaller is better?
for NB, larger is better?
On Sep 15, 2011, at 12:23 PM, Robin Anil wrote:
> Smaller is better(negative number so largest of the negative number in
> absolute value), this is to say if you have the lowest affinity to the
> complement class, you have highest affinity to the actual class which the
> data belongs to.
> Unless the new computation is spitting out positive numbers
> in which case its the largest.
:-)
>
> On Thu, Sep 15, 2011 at 9:18 PM, Grant Ingersoll <gs...@apache.org>wrote:
>
>> What's the interpretation of scores for the output from the new
>> (complementary) naive bayes classifiers? Larger is better, right?
>>
>> Thanks,
>> Grant
>>
>>
>>
Re: (C)NB classifier scores
Posted by Robin Anil <ro...@gmail.com>.
Smaller is better(negative number so largest of the negative number in
absolute value), this is to say if you have the lowest affinity to the
complement class, you have highest affinity to the actual class which the
data belongs to. Unless the new computation is spitting out positive numbers
in which case its the largest.
On Thu, Sep 15, 2011 at 9:18 PM, Grant Ingersoll <gs...@apache.org>wrote:
> What's the interpretation of scores for the output from the new
> (complementary) naive bayes classifiers? Larger is better, right?
>
> Thanks,
> Grant
>
>
>