shiitake-mpc-newcorr-1 🚀 boost ON

develop=01edeec · mpc=a3792b2 · analysis=66338b1 · host=shiitake-HP-Z690 · power=performance · updated 2026-07-11 09:10

概要

スコア推移

トライアル

ベスト設定

重要度

Best value

77.823

objective: time

vs develop

-3.077

develop=80.900

valid rate

1.000

44/44

key factors

Q0, Q1

importance top2

#	value	state	exit	lap1	lap2	boost	e_y_rms	e_y_p95	solve_p95	vx_max	Q0	Q1	QN0	QN1	R0	ay_max
0	81.099	COMPLETE	ok	40.87	40.23	🚀2	0.803	1.577	6.98	9.83	600000	100000000	1000000	1000000	100000	12
1	—	PRUNED	crash	—	—	—	—	—	—	—	600000	100000000	1000000	1000000	100000	13
2	85.190	COMPLETE	ok	45.61	39.58	🚀2	0.930	1.617	6.90	9.88	300000	100000000	1000000	1000000	100000	12
3	79.939	COMPLETE	ok	40.15	39.78	🚀2	0.846	1.615	6.48	9.63	153005	30994963	204737	11947	7743441	14
4	81.689	COMPLETE	ok	41.02	40.66	🚀2	0.881	1.698	6.95	9.71	479932	50236393	60746	2801	341939	14
5	81.119	COMPLETE	ok	40.71	40.40	🚀2	0.823	1.632	6.89	9.62	870737	133831318	226275	31850	824169	13
6	78.598	COMPLETE	ok	39.52	39.08	🚀2	0.658	1.350	6.70	9.87	42926	12402106	277353	6116	47975	13
7	—	PRUNED	crash	—	—	—	—	—	—	—	41773	8770508	37380	15580	1834471	14
8	89.051	COMPLETE	ok	47.61	41.44	🚀2	1.199	2.393	6.60	9.72	169405	4872403	37114	69540	632503	14
9	—	PRUNED	crash	—	—	—	—	—	—	—	364161	3630442	179191	214585	34816	14
10	84.110	COMPLETE	ok	45.29	38.82	🚀2	0.836	1.702	6.83	9.86	30151	15865155	403077	556	10734	14
11	—	PRUNED	crash	—	—	—	—	—	—	—	79061	25013130	150522	5836	3936771	13
12	—	PRUNED	crash	—	—	—	—	—	—	—	100416	27878318	495718	2857	8383136	13
13	—	PRUNED	crash	—	—	—	—	—	—	—	72410	10619661	98678	11392	9308018	13
14	85.625	COMPLETE	ok	45.79	39.83	🚀2	0.946	1.933	6.88	9.82	172748	40221844	391132	851	27476	13
15	79.314	COMPLETE	ok	39.77	39.54	🚀2	0.659	1.365	6.47	9.73	52465	14759604	285901	64608	310921	14
16	—	PRUNED	crash	—	—	—	—	—	—	—	49591	7094717	1993557	123006	259281	14
17	84.335	COMPLETE	ok	45.37	38.97	🚀2	0.905	1.810	6.69	9.86	51276	15016501	312601	299172	37531	14
18	78.873	COMPLETE	ok	39.78	39.09	🚀2	0.640	1.227	6.64	9.77	30981	15761522	86799	39896	216660	14
19	78.223	COMPLETE	ok	39.41	38.81	🚀2	0.644	1.325	6.71	9.85	30168	7074646	101502	30901	13009	14
20	81.159	COMPLETE	ok	40.93	40.22	🚀2	0.840	1.585	7.01	9.85	78032	5713875	98526	1644	17984	12
21	78.968	COMPLETE	ok	39.72	39.25	🚀2	0.703	1.370	6.94	9.87	30654	3030368	105034	26692	51270	14
22	78.838	COMPLETE	ok	39.57	39.27	🚀2	0.653	1.382	6.78	9.79	37141	10611139	71283	6480	10457	14
23	78.913	COMPLETE	ok	39.77	39.14	🚀2	0.717	1.506	6.99	9.84	44431	10305814	59168	5793	12076	14
24	78.988	COMPLETE	ok	39.77	39.22	🚀2	0.698	1.395	6.73	9.85	37816	5018301	58477	6026	19937	14
25	79.919	COMPLETE	ok	40.18	39.74	🚀2	0.784	1.535	7.01	9.82	65209	7768642	139528	15902	59534	13
26	79.869	COMPLETE	ok	40.22	39.64	🚀2	0.764	1.529	6.75	9.87	115815	22123526	636993	3367	16720	13
27	79.509	COMPLETE	ok	39.91	39.59	🚀2	0.736	1.480	7.01	9.86	60821	10913853	72677	1543	11022	14
28	78.893	COMPLETE	ok	39.81	39.08	🚀2	0.690	1.329	6.80	9.87	38871	6262746	30709	10407	24857	14
29	—	PRUNED	crash	—	—	—	—	—	—	—	91886	57691747	128203	21118	58024	12
30	78.728	COMPLETE	ok	39.58	39.14	🚀2	0.637	1.308	6.78	9.81	36196	19869125	48623	55172	143413	14
31	78.913	COMPLETE	ok	39.65	39.26	🚀2	0.659	1.253	6.85	9.87	37386	19813019	42345	50224	155426	14
32	78.838	COMPLETE	ok	39.75	39.09	🚀2	0.679	1.355	6.85	9.86	53956	12455026	45390	94666	81695	14
33	78.843	COMPLETE	ok	39.52	39.32	🚀2	0.646	1.376	6.53	9.88	35427	9003433	74353	312678	158681	13
34	78.528	COMPLETE	ok	39.41	39.11	🚀2	0.644	1.213	6.70	9.89	45484	19623910	49369	130357	104682	14
35	—	PRUNED	crash	—	—	—	—	—	—	—	59348	39169923	51788	168257	120619	14
36	83.850	COMPLETE	ok	44.75	39.10	🚀2	0.802	1.523	6.64	9.85	46145	19568081	31969	510123	82851	14
37	79.494	COMPLETE	ok	39.83	39.66	🚀2	0.689	1.356	6.70	9.69	133135	69818177	718970	112954	622972	13
38	—	PRUNED	crash	—	—	—	—	—	—	—	969281	34231512	1500858	456871	39189	14
39	84.975	COMPLETE	ok	45.74	39.23	🚀2	0.870	1.597	6.75	9.83	45156	19601203	49667	47589	135457	14
40	—	PRUNED	crash	—	—	—	—	—	—	—	61365	186647112	233239	27832	541986	14
41	84.165	COMPLETE	ok	45.09	39.08	🚀2	0.853	1.662	6.82	9.85	39277	13299128	71867	7860	14809	14
42	78.763	COMPLETE	ok	39.56	39.20	🚀2	0.673	1.323	6.73	9.84	32681	8311123	39921	4081	24969	14
43	79.058	COMPLETE	ok	39.83	39.23	🚀2	0.738	1.453	6.81	9.83	33593	4042479	38527	3851	26531	14
44	79.219	COMPLETE	ok	40.08	39.14	🚀2	0.695	1.466	6.99	9.89	42204	7582135	188164	64898	80061	13
45	—	PRUNED	crash	—	—	—	—	—	—	—	31489	26935802	36014	2163	40808	14
46	91.291	COMPLETE	ok	48.71	42.58	🚀2	1.313	2.339	6.86	9.66	655925	9087681	118957	19433	1090669	14
47	78.848	COMPLETE	ok	39.75	39.09	🚀2	0.707	1.378	6.90	9.87	67618	18415595	160469	86724	53137	14
48	80.604	COMPLETE	ok	40.46	40.14	🚀2	0.797	1.651	6.82	9.84	91396	12757424	53929	191932	202999	14
49	80.049	COMPLETE	ok	40.35	39.69	🚀2	0.783	1.523	6.47	9.71	52518	6489927	44238	1020	436200	13
50	86.330	COMPLETE	ok	43.42	42.91	🚀2	1.381	2.566	7.04	9.81	274210	4772893	82146	38502	22574	14
51	78.553	COMPLETE	ok	39.59	38.96	🚀2	0.648	1.416	6.87	9.80	35811	11755221	64602	7814	15060	14
52	78.988	COMPLETE	ok	39.65	39.33	🚀2	0.665	1.353	6.92	9.83	43793	16631937	61315	3829	14519	14
53	77.823	COMPLETE	ok	39.08	38.74	🚀2	0.604	1.109	6.79	9.84	35190	23699508	36158	9057	32882	14
54	—	PRUNED	crash	—	—	—	—	—	—	—	48931	32189209	63260	10760	32517	14
55	83.519	COMPLETE	ok	44.79	38.73	🚀2	0.797	1.615	6.66	9.88	30288	23783276	85934	14698	66577	14
56	—	PRUNED	crash	—	—	—	—	—	—	—	35618	13949226	48727	8811	108741	14
57	—	PRUNED	crash	—	—	—	—	—	—	—	55348	28813189	33301	22074	32663	14
58	—	PRUNED	crash	—	—	—	—	—	—	—	42138	41322294	102741	148278	44702	14
59	83.965	COMPLETE	ok	44.88	39.08	🚀2	0.851	1.672	6.75	9.84	47338	17230305	244096	4860	13031	14

trial #53 — value 77.823 · laps: 39.08, 38.74 · boost fires: 2

Q0: 35189.95043719126
Q1: 23699508.15471162
QN0: 36158.48428365606
QN1: 9056.658185234033
R0: 32882.153899286524
ay_max: 14.337853649610215

config へ反映: uv run python optuna/apply_best.py --study mpc-newcorr-1（racingkart-analysis リポジトリで実行）

param	importance
Q0	0.492
Q1	0.194
R0	0.119
ay_max	0.115
QN0	0.061
QN1	0.019

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