Re: Re: [computer-go] Statistical Significance

[petrip@xxxxxxxxxxx]

 Elo ranking is quite slow to converge. Furthermore is has tendency deflate. That is why is not used in Go general.

As measuring strenght difference between two player it is overkill. For problem at hand simple set of games will do. It is just question of how many games one needs.

Any Go-server maximum likelihood rating system probably beats ELO both in accuracy and convergence speed.

Petri Pitkänen
	


> From:: Michael Gherrity <mike@xxxxxxxxxxxxxxxxx>
> To: computer-go <computer-go@xxxxxxxxxxxxxxxxx>
> Subject:: Re: [computer-go]  Statistical Significance
> Date: 09/23/2004

> I was wondering why the ELO or more modern Glicko 
> <<A HREF="http://math.bu.edu/people/mg/ratings.html>" TARGET="_blank">http://math.bu.edu/people/mg/ratings.html></A>
> rating system used for 
> chess would not be appropriate for this task?
> 
>   mike
> 
> On Sep 18, 2004, at 10:43 AM, David G Doshay wrote:
> 
> >
> > On Sep 18, 2004, at 9:08 AM, Myriam Abramson wrote:
> >
> >> What was the consensus on whether to use win,lose,draw as the
> outcome
> >> of the game or to use relative territory to estimate the strength


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