@dboing said in #10:
I think being a coder or data analyst is not an initiation requirement to think chess in light of such data analysis. So, I don't know about the op, but I for one would welcome all walks of chess to contribute to the questions adressed by data analysis or coding dependent tools used to understand the chess world.
A forum.. might be the right place to have many skills with common interest in chess being represented in a cooperative bridging kind of way.. That's my philosophy. :)
Yup, I agree. I took a data approach because that's my background, but as you can see it's hard to distinguish between random noise and signal here. I really like Chess 960 and I think there's something to taking a limited set to only include the fairest positions or do more creative things like odds games with 960 positions, but that will require more chess knowledge than I have.
@dboing said in #10:
> I think being a coder or data analyst is not an initiation requirement to think chess in light of such data analysis. So, I don't know about the op, but I for one would welcome all walks of chess to contribute to the questions adressed by data analysis or coding dependent tools used to understand the chess world.
>
> A forum.. might be the right place to have many skills with common interest in chess being represented in a cooperative bridging kind of way.. That's my philosophy. :)
Yup, I agree. I took a data approach because that's my background, but as you can see it's hard to distinguish between random noise and signal here. I really like Chess 960 and I think there's something to taking a limited set to only include the fairest positions or do more creative things like odds games with 960 positions, but that will require more chess knowledge than I have.
<Comment deleted by user>
<Comment deleted by user>
Interesting questions. I was wondering if the default chess position is one of the 960 positions or if it's remove. A subsidiary question is : what would your stats gives for the default position (in terms of white win / draw...)
Interesting questions. I was wondering if the default chess position is one of the 960 positions or if it's remove. A subsidiary question is : what would your stats gives for the default position (in terms of white win / draw...)
Yes, the default position is among the 960 possibilities by definition. But I don't know if it's manually removed, so maybe in fact this is chess 959.
Yes, the default position is among the 960 possibilities by definition. But I don't know if it's manually removed, so maybe in fact this is chess 959.
@BradyIsSystemQB said in #3:
Are these results even statistically significant?
Even if all positions were equal, just by chance one of them wold have the worst performance over the sample, and another the best performance.
This is crucial, the statistical significance of these results must be investigated. Without that, we don't know whether it's only a random fluctuation for the sample you work with.
@BradyIsSystemQB said in #3:
> Are these results even statistically significant?
>
> Even if all positions were equal, just by chance one of them wold have the worst performance over the sample, and another the best performance.
This is crucial, the statistical significance of these results must be investigated. Without that, we don't know whether it's only a random fluctuation for the sample you work with.
This being on my homepage 2 years later proofs its a good blog
This being on my homepage 2 years later proofs its a good blog
I have wondered about how to extract pgn data to create various reports. Thanks for showing how.
I have wondered about how to extract pgn data to create various reports. Thanks for showing how.
Great post!! I think you are on to something important!
My comment: it's quite hard to remember the very specific positions that give either White or Black an advantage. However, I would suggest, and I’m really curious about this, clustering all the initial 960 positions first (using some clustering technique from ML) and then running your analysis again on these clusters/groups. That way we could get more insights into which positions, and what common features they share, give White or Black an edge.
Hope you keep data mining 960 games, because this is something nobody else seems to be doing, at least I haven’t seen anything like it before. Great work!
Great post!! I think you are on to something important!
My comment: it's quite hard to remember the very specific positions that give either White or Black an advantage. However, I would suggest, and I’m really curious about this, clustering all the initial 960 positions first (using some clustering technique from ML) and then running your analysis again on these clusters/groups. That way we could get more insights into which positions, and what common features they share, give White or Black an edge.
Hope you keep data mining 960 games, because this is something nobody else seems to be doing, at least I haven’t seen anything like it before. Great work!
nice
