Stockfish Testing Queue

Finished - 22407 tests

25-11-14 na tune_futility diff
LLR: 2.95 (-2.94,2.94) [0.00,4.00]
Total: 48020 W: 9710 L: 9374 D: 28936
sprt @ 15+0.05 th 1 STC: Tuning attempt for futility. Use quadratic formula.
25-11-14 ce kick_queen diff
LLR: 2.97 (-2.94,2.94) [-1.50,4.50]
Total: 37050 W: 7463 L: 7254 D: 22333
sprt @ 15+0.05 th 1 Bonus for threatening an attacking queen
24-11-14 jo Outposts2 diff
ELO: 1.86 +-2.6 (95%) LOS: 92.1%
Total: 30000 W: 6615 L: 6454 D: 16931
30000 @ 7+0.05 th 1 Check some handmade values. Final try.
24-11-14 sg ks_opposite_bishops diff
LLR: -2.96 (-2.94,2.94) [-1.50,4.50]
Total: 19250 W: 3779 L: 3833 D: 11638
sprt @ 15+0.05 th 1 opposite bishops favorites the king attacker (Take 3). Idea from Rocky640.
24-11-14 Fi TTPriority diff
LLR: -2.97 (-2.94,2.94) [-1.50,4.50]
Total: 21933 W: 4353 L: 4400 D: 13180
sprt @ 15+0.05 th 1 Adjust TT replacement policy based on where in the search an entry came from.
24-11-14 ce stuck_bishop diff
LLR: -2.97 (-2.94,2.94) [0.00,6.00]
Total: 11128 W: 1904 L: 1953 D: 7271
sprt @ 60+0.05 th 1 Penalise bishops stuck next to the enemy king
24-11-14 My threats_fidelity diff
LLR: -2.95 (-2.94,2.94) [-1.50,4.50]
Total: 29221 W: 5864 L: 5890 D: 17467
sprt @ 15+0.05 th 1 Seeing as threats has become more accurate recently, try to increase fidelity too.
24-11-14 gl kid diff
LLR: -2.95 (-2.94,2.94) [-1.50,4.50]
Total: 25263 W: 4198 L: 4240 D: 16825
sprt @ 60+0.05 th 1 Try using the KingDanger for scaling open file/blocked pawn threats on king
24-11-14 na pawn_attack diff
LLR: -2.95 (-2.94,2.94) [0.00,4.00]
Total: 20206 W: 3947 L: 4033 D: 12226
sprt @ 15+0.05 th 1 STC: Pawn attack. Tune attempt for pawn attack lower bound value.
24-11-14 ce stuck_bishop diff
LLR: 2.96 (-2.94,2.94) [-1.50,4.50]
Total: 47025 W: 9517 L: 9280 D: 28228
sprt @ 15+0.05 th 1 Penalise bishops stuck next to the enemy king
23-11-14 sg move_count_pruning diff
LLR: -2.97 (-2.94,2.94) [-1.50,4.50]
Total: 58279 W: 11745 L: 11691 D: 34843
sprt @ 15+0.05 th 1 exclude followupmoves from move count based pruning
23-11-14 jo asym_widen^ diff
LLR: -2.97 (-2.94,2.94) [-1.50,4.50]
Total: 53620 W: 10661 L: 10621 D: 32338
sprt @ 15+0.05 th 1 Start with wider alpha bound. Take 1.
23-11-14 sg ks_opposite_bishops diff
LLR: -2.95 (-2.94,2.94) [-1.50,4.50]
Total: 5342 W: 1013 L: 1105 D: 3224
sprt @ 15+0.05 th 1 opposite bishops favorites the king attacker (Take 2)
23-11-14 sg move_order_checks diff
LLR: -2.97 (-2.94,2.94) [-1.50,4.50]
Total: 17514 W: 3508 L: 3567 D: 10439
sprt @ 15+0.05 th 1 use SPSA tuned values for checks move order
23-11-14 sg move_count_pruning diff
LLR: -2.97 (-2.94,2.94) [-1.50,4.50]
Total: 36269 W: 7280 L: 7287 D: 21702
sprt @ 15+0.05 th 1 exclude countermoves from move count based pruning
23-11-14 sg move_count_pruning diff
LLR: -2.97 (-2.94,2.94) [-1.50,4.50]
Total: 21547 W: 4269 L: 4317 D: 12961
sprt @ 15+0.05 th 1 exclude killers from move count based pruning
23-11-14 My pawn_att diff
LLR: -2.97 (-2.94,2.94) [-1.50,4.50]
Total: 49754 W: 10084 L: 10053 D: 29617
sprt @ 15+0.05 th 1 SF likes to push pawns so let's reward attacks.
23-11-14 My pawn_att3 diff
LLR: -2.96 (-2.94,2.94) [-1.50,4.50]
Total: 34626 W: 6861 L: 6873 D: 20892
sprt @ 15+0.05 th 1 SF likes to push pawns so let's reward attacks take 3.
22-11-14 mc simplify_threats diff
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 76743 W: 15518 L: 15500 D: 45725
sprt @ 15+0.05 th 1 Regression test for a simplification in threats evaluation
22-11-14 lb history^ diff
LLR: -5.47 (-2.94,2.94) [-0.50,4.50]
Total: 33496 W: 6713 L: 6827 D: 19956
sprt @ 15+0.05 th 1 double lbound
22-11-14 sg spsa_move_order_checks diff
19339/20000 iterations
39560/40000 games played
40000 @ 15+0.05 th 1 I have measured that quiet check moves gives a cutoff in 5-8%. On all quiet moves only 2% delivers a cutoff. So checks should be moved up on the move list. My double check patch failed, so i let tune the bonus for the different types of checks (starting at a moderate bonus of 50).
23-11-14 My pawn_att2 diff
LLR: -2.95 (-2.94,2.94) [-1.50,4.50]
Total: 24522 W: 4850 L: 4889 D: 14783
sprt @ 15+0.05 th 1 SF likes to push pawns so let's reward attacks take 2.
22-11-14 sg knight_fork_threats2 diff
ELO: 0.09 +-3.0 (95%) LOS: 52.2%
Total: 20000 W: 4006 L: 4001 D: 11993
20000 @ 15+0.05 th 1 measure elo of new approach using SPSA tuned values
22-11-14 sg ks_opposite_bishops diff
LLR: -2.95 (-2.94,2.94) [-1.50,4.50]
Total: 35906 W: 7096 L: 7104 D: 21706
sprt @ 15+0.05 th 1 opposite bishops favorites the king attacker
22-11-14 hx genmoves diff
LLR: -2.95 (-2.94,2.94) [-1.50,4.50]
Total: 19151 W: 3797 L: 3851 D: 11503
sprt @ 15+0.05 th 1 generate queen moves before bishop and rook
22-11-14 lb history diff
LLR: -2.95 (-2.94,2.94) [-0.50,4.50]
Total: 44944 W: 9055 L: 9017 D: 26872
sprt @ 15+0.05 th 1 double ubound
22-11-14 My def_Q2 diff
LLR: -2.96 (-2.94,2.94) [-1.00,4.00]
Total: 14677 W: 2913 L: 3001 D: 8763
sprt @ 15+0.05 th 1 See if Queen attacks on defended pieces is beneficial take 2 - adjusted array.
21-11-14 sg spsa_knight_fork_threat diff
18999/20000 iterations
40000/40000 games played
40000 @ 15+0.05 th 1 use now a two dimensional table (indexed by piece types) for knight fork bonus
22-11-14 My def_Q diff
LLR: -2.95 (-2.94,2.94) [0.00,4.00]
Total: 62379 W: 12472 L: 12403 D: 37504
sprt @ 15+0.05 th 1 See if Queen attacks on defended pieces is beneficial. (Delete if this has been tested before).Low pri
21-11-14 fw bestMove_changes_optimi diff
LLR: -2.95 (-2.94,2.94) [-1.50,4.50]
Total: 12969 W: 2617 L: 2688 D: 7664
sprt @ 15+0.05 th 1 values interpolated from spsa tuning @ (fast and slow time control) cos there seems to be tc dependence
22-11-14 lb history diff
LLR: -2.95 (-2.94,2.94) [-0.50,4.50]
Total: 2891 W: 512 L: 629 D: 1750
sprt @ 15+0.05 th 1 no ubound
22-11-14 lb history diff
LLR: -2.97 (-2.94,2.94) [-0.50,4.50]
Total: 28162 W: 5628 L: 5653 D: 16881
sprt @ 15+0.05 th 1 no lbound
21-11-14 jo Outposts diff
ELO: -0.24 +-2.6 (95%) LOS: 42.8%
Total: 30000 W: 6774 L: 6795 D: 16431
30000 @ 7+0.05 th 1 Measure new asymmetric outpost values (knight only), found in combination with CLOP and SPSA.
21-11-14 jo Outposts2 diff
LLR: -2.96 (-2.94,2.94) [-1.50,4.50]
Total: 5155 W: 1004 L: 1097 D: 3054
sprt @ 15+0.05 th 1 Bonus for knight outpost close to the enemy king.
21-11-14 fw bestMove_changes_optimi diff
LLR: -2.95 (-2.94,2.94) [-1.50,4.50]
Total: 21526 W: 4342 L: 4389 D: 12795
sprt @ 15+0.05 th 1 spsa values, tuned @ slower time control hopefully this passes at faster time control cos there is quite likely a TC sensitivity (brought it up2date with upstream merge)
20-11-14 sg knight_fork_threats diff
ELO: -1.02 +-3.0 (95%) LOS: 25.5%
Total: 20000 W: 3987 L: 4046 D: 11967
20000 @ 15+0.05 th 1 Measure values from second SPSA. Prio -1
21-11-14 gl keep_old_pv_at_root diff
LLR: -2.95 (-2.94,2.94) [-3.00,1.00]
Total: 15139 W: 2475 L: 2654 D: 10010
sprt @ 60+0.05 th 1 No regression test. Only save PV if score is within alphabeta bounds
19-11-14 tj ttzero diff
LLR: 4.56 (-2.94,2.94) [-3.00,1.00]
Total: 220478 W: 44125 L: 44284 D: 132069
sprt @ 15+0.05 th 1 No-regression test for bugfix.
20-11-14 mc pull_doubled_fix diff
LLR: 2.95 (-2.94,2.94) [-3.00,1.00]
Total: 39839 W: 6662 L: 6572 D: 26605
sprt @ 60+0.05 th 1 LTC: Regression test for this subtle evaluation asymmetry bug
20-11-14 gl keep_old_pv_at_root diff
ELO: -0.95 +-2.1 (95%) LOS: 19.3%
Total: 40000 W: 7851 L: 7960 D: 24189
40000 @ 15+0.05 th 1 Measure ELO again, this time, only write back PV if score is within alphabeta bounds
20-11-14 mc pull_accurate_pv_3 diff
LLR: 2.96 (-2.94,2.94) [-3.00,1.00]
Total: 54668 W: 9873 L: 9809 D: 34986
sprt @ 15+0.05 th 3 Retest with correct sprt parameters. Sorry for the mistake
19-11-14 sg spsa_knight_fork_threat diff
19381/20000 iterations
39888/40000 games played
40000 @ 15+0.05 th 1 The first SPSA tuning attempt seems to give worser result than the initial values. Perhaps with higher resolution (c = 5) we get better results. Prio -1
20-11-14 mc pull_doubled_fix diff
LLR: 2.96 (-2.94,2.94) [-3.00,1.00]
Total: 21035 W: 4244 L: 4122 D: 12669
sprt @ 15+0.05 th 1 Regression test for this subtle evaluation asymmetry bug
19-11-14 lb history diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 46285 W: 7766 L: 7704 D: 30815
sprt @ 60+0.05 th 1 d^2.1
18-11-14 na tune_shelter diff
LLR: -2.96 (-2.94,2.94) [0.00,4.00]
Total: 20956 W: 3468 L: 3555 D: 13933
sprt @ 60+0.05 th 1 LTC: Got something like 2-3 ELO in local testing. The values never been tested in the fishtest, so might need one. LTC because StormDanger is TC sensitive.
19-11-14 mc pull_accurate_pv_3 diff
LLR: -2.97 (-2.94,2.94) [-1.50,4.50]
Total: 24662 W: 4425 L: 4467 D: 15770
sprt @ 15+0.05 th 3 Regression test with 3 threads for this further simplification of accurate pv (changed from the one that failed)
18-11-14 gl keep_old_pv_at_root diff
ELO: -4.46 +-2.2 (95%) LOS: 0.0%
Total: 40000 W: 7770 L: 8284 D: 23946
40000 @ 15+0.05 th 1 Check no regression after change to keep old PV at root on fail-high/low, if the new PV is a prefix of the old PV.
19-11-14 mc pull_accurate_pv_3 diff
LLR: -2.96 (-2.94,2.94) [-1.50,4.50]
Total: 9081 W: 1764 L: 1846 D: 5471
sprt @ 15+0.05 th 1 Regression test with 1 thread for this further simplification of accurate pv (changed from the one that failed)
16-11-14 fw optimise_bestMove_chang diff
19810/20000 iterations
40000/40000 games played
40000 @ 60+0.05 th 1 LTC cos there is quite likely a TC sensitivity spsa optimise bestmove
19-11-14 sg knight_fork_threats diff
ELO: -2.21 +-3.0 (95%) LOS: 7.8%
Total: 20000 W: 3947 L: 4074 D: 11979
20000 @ 15+0.05 th 1 Use the SPSA tuned values. some parameters show a straight trend and so seems not be converged. So first a elo measure is done.