shiitake-mpc-costmat-repeats2 boost OFF

updated 2026-07-08 17:59
概要
スコア推移
トライアル
ベスト設定
重要度
Best value
78.298
objective: time
vs develop
—
develop=—
valid rate
1.000
5/5
key factors
Q1, Q0
importance top2
#valuestateexitlap1lap2booste_y_rmse_y_p95solve_p95vx_maxQ0Q1QN0QN1R0ay_max
0—PRUNEDcrash———————644317148341115906411125609176313
1—PRUNEDcrash———————8985484475676400474913724859113
285.660COMPLETEok———0.7611.7966.77—623367307923217062236743440613
3—PRUNEDcrash———————90891754240173090177275496143913
485.580COMPLETEok———0.7571.8056.72—644317148341115906411125609176313
578.893COMPLETEok———0.4400.8516.96—8985484475676400474913724859113
678.673COMPLETEok———0.4821.0026.88—623367307923217062236743440613
778.298COMPLETEok———0.4490.9626.83—90891754240173090177275496143913

trial #7 — value 78.298

Q0: 90891.4750640805
Q1: 75424016.63565862
QN0: 309016.82615505083
QN1: 727548.5704793076
R0: 61438.91986553829
ay_max: 13.111954401335842

config へ反映: uv run python optuna/apply_best.py --study mpc-costmat-repeats2(racingkart-analysis リポジトリで実行)

paramimportance
Q10.276
Q00.183
R00.156
QN00.141
QN10.130
ay_max0.113

fANOVA による寄与度(optuna.importance.get_param_importances)