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0272873)
Retained
748191776 scored positions for analysis
const int NormalizeToPawnValue = 328;
Corresponding spread = 60;
Corresponding normalized spread = 0.
18337766691628035;
Draw rate at 0.0 eval at move 32 = 0.
9914715947898592;
closes https://github.com/official-stockfish/Stockfish/pull/4636
No functional change
// The coefficients of a third-order polynomial fit is based on the fishtest data
// for two parameters that need to transform eval to the argument of a logistic
// function.
// The coefficients of a third-order polynomial fit is based on the fishtest data
// for two parameters that need to transform eval to the argument of a logistic
// function.
- constexpr double as[] = { 1.07390458, -6.94334517, 31.95090161, 317.75424048};
- constexpr double bs[] = { -2.82843814, 16.64518180, -19.74439200, 68.39499088 };
+ constexpr double as[] = { 0.38036525, -2.82015070, 23.17882135, 307.36768407};
+ constexpr double bs[] = { -2.29434733, 13.27689788, -14.26828904, 63.45318330 };
// Enforce that NormalizeToPawnValue corresponds to a 50% win rate at ply 64
static_assert(UCI::NormalizeToPawnValue == int(as[0] + as[1] + as[2] + as[3]));
// Enforce that NormalizeToPawnValue corresponds to a 50% win rate at ply 64
static_assert(UCI::NormalizeToPawnValue == int(as[0] + as[1] + as[2] + as[3]));
// the win_rate_model() such that Stockfish outputs an advantage of
// "100 centipawns" for a position if the engine has a 50% probability to win
// from this position in selfplay at fishtest LTC time control.
// the win_rate_model() such that Stockfish outputs an advantage of
// "100 centipawns" for a position if the engine has a 50% probability to win
// from this position in selfplay at fishtest LTC time control.
-const int NormalizeToPawnValue = 343;
+const int NormalizeToPawnValue = 328;