That sounds like it'd be the MSE as classification error of the eventual result.
I'm currently not able to look at the paper, but couldn't you use a softmax output layer with two nodes and take the probability distribution as winrate? On Thu, Feb 4, 2016 at 8:34 PM, Álvaro Begué <alvaro.be...@gmail.com> wrote: > I am not sure how exactly they define MSE. If you look at the plot in figure > 2b, the MSE at the very beginning of the game (where you can't possibly know > anything about the result) is 0.50. That suggests it's something else than > your [very sensible] interpretation. > > Álvaro. > > > > On Thu, Feb 4, 2016 at 2:24 PM, Detlef Schmicker <d...@physik.de> wrote: >> >> -----BEGIN PGP SIGNED MESSAGE----- >> Hash: SHA1 >> >> >> Since all positions of all games in the dataset are used, winrate >> >> should distributes from 0% to 100%, or -1 to 1, not 1. Then, the >> >> number 70% could be wrong. MSE is 0.37 just means the average >> >> error is about 0.6, I think. >> >> 0.6 in the range of -1 to 1, >> >> which means -1 (eg lost by b) games -> typical value -0.4 >> and +1 games -> typical value +0.4 of the value network >> >> if I rescale -1 to +1 to 0 - 100% (eg winrate for b) than I get about >> 30% for games lost by b and 70% for games won by B? >> >> Detlef >> >> >> Am 04.02.2016 um 20:10 schrieb Hideki Kato: >> > Detlef Schmicker: <56b385ce.4080...@physik.de>: Hi, >> > >> > I try to reproduce numbers from section 3: training the value >> > network >> > >> > On the test set of kgs games the MSE is 0.37. Is it correct, that >> > the results are represented as +1 and -1? >> > >> >> Looks correct. >> > >> > This means, that in a typical board position you get a value of >> > 1-sqrt(0.37) = 0.4 --> this would correspond to a win rate of 70% >> > ?! >> > >> >> Since all positions of all games in the dataset are used, winrate >> >> should distributes from 0% to 100%, or -1 to 1, not 1. Then, the >> >> number 70% could be wrong. MSE is 0.37 just means the average >> >> error is about 0.6, I think. >> > >> >> Hideki >> > >> > Is it really true, that a typical kgs 6d+ position is judeged with >> > such a high win rate (even though it it is overfitted, so the test >> > set number is to bad!), or do I misinterpret the MSE calculation?! >> > >> > Any help would be great, >> > >> > Detlef >> > >> > Am 27.01.2016 um 19:46 schrieb Aja Huang: >> >>>> Hi all, >> >>>> >> >>>> We are very excited to announce that our Go program, AlphaGo, >> >>>> has beaten a professional player for the first time. AlphaGo >> >>>> beat the European champion Fan Hui by 5 games to 0. We hope >> >>>> you enjoy our paper, published in Nature today. The paper and >> >>>> all the games can be found here: >> >>>> >> >>>> http://www.deepmind.com/alpha-go.html >> >>>> >> >>>> AlphaGo will be competing in a match against Lee Sedol in >> >>>> Seoul, this March, to see whether we finally have a Go >> >>>> program that is stronger than any human! >> >>>> >> >>>> Aja >> >>>> >> >>>> PS I am very busy preparing AlphaGo for the match, so >> >>>> apologies in advance if I cannot respond to all questions >> >>>> about AlphaGo. >> >>>> >> >>>> >> >>>> >> >>>> _______________________________________________ Computer-go >> >>>> mailing list Computer-go@computer-go.org >> >>>> http://computer-go.org/mailman/listinfo/computer-go >> >>>> >> >> _______________________________________________ Computer-go >> >> mailing list Computer-go@computer-go.org >> >> http://computer-go.org/mailman/listinfo/computer-go >> -----BEGIN PGP SIGNATURE----- >> Version: GnuPG v2.0.22 (GNU/Linux) >> >> iQIcBAEBAgAGBQJWs6WFAAoJEInWdHg+Znf4eTsP/21vawWsmrZkDuAjTkwbKB2S >> 7LpLi3huuLlepkulmUr3rIUvDHhTOwD04pDHjjVrIDBB1k3JjQQ/YKWDfijQQYu6 >> ZI1GK55pglUPH+uc+rxfM89ziJwCQrza71l5XU+5ffcBwxRjeAL+D1fGGyr0CPlv >> WKR/Q07XDslXhwlk2O6NDpd80d38dMlMV9lO4s8Zf3Y+o8WJOuyEdybRpg8VOibq >> o59RCAWUiVkTs++iSihcIrVAwGnLtkPyMJ/lBN6zMyZQeuM0dyYL+IAoMH9IdCLQ >> 0jpbtJEqtSsp1ZjWs9s/M4pxKlvUZLThtYSjyGDJ2qDYXII6DeBgxHGUoUxc5A6a >> HVF04gG77U2fMCa/6eGlQN2380kNCjdyRCDUZc9St3tbQPnWU+syk6U/inF7bhAA >> 7ONJD0dcjZROmblqurv32pO6sLuS8wA4DfJhpM5xSSJcYI46YQtVWL4OXY+dtx6S >> 6uQ1fiPqgo4WM0iHEOnh7BEz0NqZeahIUJJVmgKODzp2krOqbpOpbwe7WUI7UHmK >> 3LCNC9oMRybNuc+jrbHqFwT+tgQLTqpbHZuDVzKkBcxqPSj7hRvjLXAjkWNCzL7j >> Yo4MySS6rzenuj9ZRSrQDSYfowRZyzPzMnmjkMbM7R7wpR5CL4U95LqOdMnce2IG >> s/6iYcuUH8KqpG9NMy0U >> =TnKW >> -----END PGP SIGNATURE----- >> _______________________________________________ >> Computer-go mailing list >> Computer-go@computer-go.org >> http://computer-go.org/mailman/listinfo/computer-go > > > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
