-----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
