Someone on Cross-validated was able to give me an answer, and it is
something I should have seen. classify uses a uniform prior, while
ClassificationDisciminant uses an empirical prior. Problem solved.
On Mon, Feb 18, 2013 at 3:31 PM, David Reed <[email protected]> wrote:
> Ahh, I have used Gist, but am absent minded today it seems.
>
> https://gist.github.com/dvreed77/4980426
>
>
> On Mon, Feb 18, 2013 at 3:23 PM, Andreas Mueller <[email protected]
> > wrote:
>
>> On 02/18/2013 09:07 PM, David Reed wrote:
>> > So I came up with this small test script to show the difference
>> > between Matlab's classify function and Matlab's
>> > ClassificationDiscriminant function. It appears that for balanced
>> > classes, they perform identically, but when you unbalance them you get
>> > radically different answers. This problem becomes even worse when the
>> > classes are drawn from the same distribution. Please let me know if
>> > there is a better way to include this script than just copying/pasting.
>> A good way to provide code is usually via a github gist:
>> https://gist.github.com/
>> That is like a scratchpad, but has code highlighting and is a full-blown
>> repository (which you needn't worry about if you don't care).
>>
>>
>>
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