Author: Eric Oldre
Date: 11:00:50 04/08/04
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When people talk about there move ordering hitting 90%, what exactly are they measuring? is it that on 90% of the nodes the first move tried is the best? what i've been doing is averaging the percentage of moves that i go through before i find the best move. example: if there are 20 moves from a position, and the 2nd move evaluated is best, i'd say i had 5%. (or 95%). if the first move is the best, then i have 0% (or 100%) i store the statistics separately depending on whether it's a pv or beta node. for beta nodes i'm getting a move that causes the cutoff very fast, on average after around 2-3 % of the moves. for PV nodes, i't a bit worse, i don't have the numbers with me, bug it seems if i remember right, about 20%. (or 80%) these seems to make since to me since if the parent node made a big blunder, it shouldn't take long to find something that will cause a cut off, but it the parent node was a good move, then so my question is, am i using the "standard" way of measuring move ordering? and if not, what is the standard way. so that i can compare apples to apples when talking about move ordering. Thanks! Eric Oldre On April 08, 2004 at 11:50:31, Robert Hyatt wrote: >On April 08, 2004 at 09:08:19, Andrew Wagner wrote: > >>Hi all, >> >>I'm using a simple hashing scheme: a single replace-always tranposition table. >>I've made sure all the hash keys are correct by comparing it to a key created >>from scratch. But I'm not sure it's working as efficiently as it could be. So, >>my question is: what statistics can I generate that will tell me how it's doing? >>And what values should I be getting for those statisics, on average? >> >>Also, a slightly different topic: someone told me that with hash tables, and >>without null-move, my move ordering (first-move fail-highs / total fail-highs) >>should be averaging >95%. Does that sound right to the rest of you? Thanks! >>Andrew > > >More like > 90%, with _some_ hitting >95%...
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