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Subject: Re: Pro Deo 1.0 - testseries

Author: Ed Schröder

Date: 01:59:04 10/02/04

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On October 01, 2004 at 12:49:21, ThatsIt wrote:

>Hi !
>
>The last few weeks i have made some tests with ProDeo.
>First with the defaults (Sep, 04) after them with my own creations.
>
>The results until now:
>[played with 40moves/20min.+ 40moves/20min. + ... / 64MB HTs /
> without any TBs / without pb / 20 startpositions = 40 games per match
> on a celeron 2ghz]
>
>Pro Deo 1.0 (default) vs Shredder 8      09.0 - 31.0  (+ 4 =10 -26)
>Pro Deo 1.0 (GS2)     vs Shredder 8      16.5 - 23.5  (+ 9 =15 -16)
>Pro Deo 1.0 (GS2a)    vs Shredder 8      20.0 - 20.0  (+14 =12 -14)
>
>Pro Deo 1.0 (default) vs Junior 8        17.0 - 23.0  (+11 =12 -17)
>Pro Deo 1.0 (GS2)     vs Junior 8        17.0 - 23.0  (+11 =12 -17)
>Pro Deo 1.0 (GS2a)    vs Junior 8        still running
>
>Pro Deo 1.0 (default) vs Hiarcs 9        13.5 - 26.5  (+ 7 =13 -20)
>Pro Deo 1.0 (GS2)     vs Hiarcs 9        15.0 - 25.0  (+ 8 =14 -18)
>Pro Deo 1.0 (GS2a)    vs Hiarcs 9        follow soon
>
>Pro Deo 1.0 (default) vs Fritz 8.0.0.26  14.5 - 25.5  (+ 5 =19 -16)
>Pro Deo 1.0 (GS2)     vs Fritz 8.0.0.26  follow soon
>Pro Deo 1.0 (GS2a)    vs Fritz 8.0.0.26  follow soon
>
>Total:
>Pro Deo 1.0 (default)    54.0 aus 160  (33.75%)
>Pro Dep 1.0 (GS2)        48.5 aus 120  (40.41%)
>Pro Deo 1.0 (GS2a)       20.0 aus  40  (50.00%)
>
>Changes in comparison to the default (Sep, 2004)
>GS2:
>[Bishop Value = 102] [Bishop Pair = 102] [Mobility = 120]
>
>GS2a:
>this will be told after the games.
>
>The games, the startpositions, more details and other stuff can be found under:
>http://www.pcschach.de
>
>Best
>Thats It
>(Gerhard Sonnabend / Stuttgart / Germany)


Hi Gerhard,

Nice work. Just one remark (question), I do hope you have turned off "position
learning". In this type of testing (running matches from the same positions)
when position learning is on the learning algorithm may have played a dominant
role and you perhaps are wasting your valuable time because you are actually
testing the learning mainly. This because I have noticed that PD's position
learning algorithm is really good.

If not then the results look indeed promising and encouraging.

Keep up the good work.

My best,

Ed



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