Stockfish Testing Queue

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16-08-17 sg lazy_eval2 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 19574 W: 3421 L: 3464 D: 12689
sprt @ 10+0.1 th 1 Same thresholds (1500)
16-08-17 sg lazy_eval2 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 14001 W: 2474 L: 2540 D: 8987
sprt @ 10+0.1 th 1 Higher threshold (1350)
16-08-17 sg lazy_eval2 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 3823 W: 639 L: 748 D: 2436
sprt @ 10+0.1 th 1 Add second early lazy eval exit after mobility
16-08-17 sg lazy_eval_scale2 diff
LLR: -2.94 (-2.94,2.94) [0.00,5.00]
Total: 9357 W: 1649 L: 1734 D: 5974
sprt @ 10+0.1 th 1 Scale lazy eval only in endgame.
16-08-17 sg lazy_eval_scale diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 4127 W: 666 L: 773 D: 2688
sprt @ 10+0.1 th 1 If lazy eval is triggered return instead the value after standard game phase formula (with scaling factor). The idea is that some drawisch endgames only detected with the scale factor which in the current formula would be ignored and possible overoptimistic evals are returned.
16-08-17 sg update_stats_mcp2 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 19002 W: 2462 L: 2518 D: 14022
sprt @ 60+0.6 th 1 LTC: Only for depth < 8
15-08-17 sg update_stats_mcp2 diff
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 102267 W: 18660 L: 18101 D: 65506
sprt @ 10+0.1 th 1 Only for depth < 8
15-08-17 sg update_stats_mcp diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 15679 W: 2011 L: 2078 D: 11590
sprt @ 60+0.6 th 1 LTC: Even more stats bonus
15-08-17 sg update_stats_mcp diff
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 27488 W: 5003 L: 4763 D: 17722
sprt @ 10+0.1 th 1 Even more stats bonus
14-08-17 sg update_stats_mcp diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 103369 W: 18636 L: 18324 D: 66409
sprt @ 10+0.1 th 1 More stats bonus if for best move moveCountPruning was true.
10-08-17 sg lmr_no_opp_imp diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 9916 W: 1725 L: 1808 D: 6383
sprt @ 10+0.1 th 1 Account for tempo.
10-08-17 sg lmr_no_opp_imp diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 5598 W: 947 L: 1048 D: 3603
sprt @ 10+0.1 th 1 More LMR if opponent couldn't improve the position with his last move (corrected).
09-08-17 sg move_order diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 17090 W: 3129 L: 3181 D: 10780
sprt @ 10+0.1 th 1 Only knight moves. For them the measured correlation of distance and the chance of being good (value > alpha) is the best. (Park with prio -1)
09-08-17 sg move_order diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 33794 W: 6093 L: 6075 D: 21626
sprt @ 10+0.1 th 1 Exclude king moves
09-08-17 sg king_distance_history diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 19844 W: 3467 L: 3509 D: 12868
sprt @ 10+0.1 th 1 Update weight 8
09-08-17 sg king_distance_history diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 18407 W: 3250 L: 3297 D: 11860
sprt @ 10+0.1 th 1 Update weight 16
09-08-17 sg king_distance_history diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 9472 W: 1615 L: 1700 D: 6157
sprt @ 10+0.1 th 1 Introduce new history table based on moving piece and the distance to opponent king. Use them for quiet move sorting. (Park with prio -1).
09-08-17 sg lmr_mc_depth diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 18696 W: 3285 L: 3331 D: 12080
sprt @ 10+0.1 th 1 Variation of green STC patch
09-08-17 sg move_order diff
LLR: -2.94 (-2.94,2.94) [0.00,5.00]
Total: 8422 W: 1439 L: 1528 D: 5455
sprt @ 10+0.1 th 1 Also use opponent king distance in LMR
09-08-17 sg lmr_mc_depth diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 21555 W: 2716 L: 2765 D: 16074
sprt @ 60+0.6 th 1 LTC: Combine with another of my yellow lmr tweak. Retry with now fixed formula (i inserted a term at the wrong place)
08-08-17 sg move_order diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 48682 W: 8708 L: 8628 D: 31346
sprt @ 10+0.1 th 1 Use distance difference to opponent king for quiet move order
05-08-17 sg lmr_mc_depth diff
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 106936 W: 19421 L: 18844 D: 68671
sprt @ 10+0.1 th 1 Combine with another of my yellow lmr tweak. Retry with now fixed formula (i inserted a term at the wrong place)
08-08-17 sg move_order diff
LLR: -2.97 (-2.94,2.94) [0.00,5.00]
Total: 23998 W: 4286 L: 4310 D: 15402
sprt @ 10+0.1 th 1 Double weight
08-08-17 sg move_order2 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 6888 W: 1177 L: 1273 D: 4438
sprt @ 10+0.1 th 1 Weight by game phase (less in endgame). (Park with prio -1)
07-08-17 sg move_order2 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 14919 W: 2604 L: 2666 D: 9649
sprt @ 10+0.1 th 1 i meant actually the opposite direction. But i let the other test run too because currently it fails not bad (perhaps we overconcentrate the pieces around the king and overlook good backward moves).
07-08-17 sg move_order diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 11563 W: 2049 L: 2125 D: 7389
sprt @ 10+0.1 th 1 Use distance to opponent king for quiet move order
07-08-17 sg passed_pawns_span diff
LLR: -2.97 (-2.94,2.94) [0.00,5.00]
Total: 11729 W: 2049 L: 2125 D: 7555
sprt @ 10+0.1 th 1 Lower bonus
07-08-17 sg passed_pawns_span diff
LLR: -2.97 (-2.94,2.94) [0.00,5.00]
Total: 15138 W: 2624 L: 2686 D: 9828
sprt @ 10+0.1 th 1 Try also midgame bonus for best version
07-08-17 sg passed_pawns_span diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 3508 W: 582 L: 692 D: 2234
sprt @ 10+0.1 th 1 Try greater span with compensation
07-08-17 sg passed_pawns_span diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 18398 W: 3314 L: 3361 D: 11723
sprt @ 10+0.1 th 1 Now with compensation
07-08-17 sg passed_pawns_span diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 7759 W: 1336 L: 1428 D: 4995
sprt @ 10+0.1 th 1 Bonus for distant passed pawns
06-08-17 sg lmrPath diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 18181 W: 3207 L: 3255 D: 11719
sprt @ 10+0.1 th 1 Use square of move count for path importance. Lower weight=5
05-08-17 sg lmrPath diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 5925 W: 1039 L: 1139 D: 3747
sprt @ 10+0.1 th 1 Use square of move count for path importance (Park with prio -1)
05-08-17 sg lmrPath diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 13570 W: 2378 L: 2446 D: 8746
sprt @ 10+0.1 th 1 Weight 400
05-08-17 sg lmrPath diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 15023 W: 2673 L: 2734 D: 9616
sprt @ 10+0.1 th 1 Weight 300
04-08-17 sg lmrPath3 diff
LLR: -2.94 (-2.94,2.94) [0.00,5.00]
Total: 35400 W: 6270 L: 6246 D: 22884
sprt @ 10+0.1 th 1 Double weight. (Park with prio -1)
04-08-17 sg lmrPath diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 30331 W: 5388 L: 5385 D: 19558
sprt @ 10+0.1 th 1 Adjust lmr according to path importance. path importance is calculated as the negated average move count along the path to the current position expect for PV nodes where its always 0 (the maximum).
04-08-17 sg lmrPath2 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 13961 W: 2435 L: 2501 D: 9025
sprt @ 10+0.1 th 1 Consider for path importance only moves not on the PV.
03-08-17 sg lmr_mc diff
LLR: -3.00 (-2.94,2.94) [0.00,5.00]
Total: 84931 W: 15180 L: 14950 D: 54801
sprt @ 10+0.1 th 1 Tweak lmr formula now according to move count. Asymptotic 10% more reductions with break even move count 7. So for move count < 7 less reductions are done.
03-08-17 sg lmr_mc diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 26066 W: 4616 L: 4631 D: 16819
sprt @ 10+0.1 th 1 Sorry, forgot to push last change. The other test struggles, so try a little smaller break even. Asymptotic 10% more reductions with break even move count 6
03-08-17 sg lmr_mc diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 20140 W: 3568 L: 3608 D: 12964
sprt @ 10+0.1 th 1 Try the other direction. Asymptotic 10% more reductions with break even move count 8.
03-08-17 sg lmr_mc_depth diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 40461 W: 7236 L: 7190 D: 26035
sprt @ 10+0.1 th 1 Combine with another of my yellow lmr tweak.
03-08-17 sg lmr4 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 9408 W: 1613 L: 1698 D: 6097
sprt @ 10+0.1 th 1 Asymptotic 10% less reduction break even depth 10
01-08-17 sg lmr4 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 11176 W: 1962 L: 2040 D: 7174
sprt @ 10+0.1 th 1 Asymptotic 20% less reduction, break even depth=7.
31-07-17 sg lmr3 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 32491 W: 5769 L: 5757 D: 20965
sprt @ 10+0.1 th 1 Tweak lmr formula. Asymptotic 5% less reductions with a break even point of depth=7. So for depth < 7 more reductions are done.
31-07-17 sg lmr4 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 48343 W: 8848 L: 8766 D: 30729
sprt @ 10+0.1 th 1 Asymptotic 10% less reduction, break even depth=7. (Park with prio -1)
31-07-17 sg lmr2 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 13562 W: 2401 L: 2469 D: 8692
sprt @ 10+0.1 th 1 Move even more break even points to leafs (ratio 3:1)
31-07-17 sg lmr diff
LLR: -2.97 (-2.94,2.94) [0.00,5.00]
Total: 11016 W: 1916 L: 1995 D: 7105
sprt @ 10+0.1 th 1 Half effect (weight 250).
31-07-17 sg lmr diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 14187 W: 2555 L: 2620 D: 9012
sprt @ 10+0.1 th 1 Double effect (weight 1000).
30-07-17 sg lmr diff
LLR: -2.94 (-2.94,2.94) [0.00,5.00]
Total: 72484 W: 13129 L: 12946 D: 46409
sprt @ 10+0.1 th 1 Move break even point even more to the leaf nodes.