Hi,
The Elo statistical model is wrong when different kind of programs play against
I have a similar experience.
I calculated Japanese Shogi women pro rating before.
The strongest woman, Ichiyo Shimizu, her rating is 1578 Elo.
Her winrate against men pros is 18%(163 games), and against women
It's a relative ranking versus who you actually get to play against.
Sparsity of actual skill will lead to that kind of clumping.
The only way that a rating could meaningfully climb by playing gnugo or
your direct peers is going to happen exponentially slowly -- you'd need to
lose to gnugo twice
Hi,
Thanks to you for taking care of CGOS.
I have just connected CrazyStone-57-TiV. It is not identical, but should be
similar to the old CrazyStone-18.04. CrazyStone-18.04 was the last version
of my program that used tensorflow. CrazyStone-57 is the first neural
network that did not use
Hi,
I have published current CGOS source on github.
https://github.com/yssaya/CGOS
There are some changes. Like
1. Recent 300 games on cross-table page.
2. WGo viewer
3. 7.0 komi and handling draw for rating calculation.
4. Shorter pgn file for BayesElo (cgosBayes).
5. Forbid number only
