Investigation 454

Dataset: timetravel_insurance
Model: opus4010
Training model: claude-opus-4-20250514
Inference model: gpt-4.1-mini
Example count: 10
Patience: 3
Current round: 538
Best round: 534

Rounds

Round	UUID	Started	Completed	Train Acc	Train KT	Val Acc	Val KT	Min Train/Val	Test Acc	Test KT
151	1b2fe8c4-5672-4c96-8487-b11f629395aa	2025-06-25	in progress	n/a	n/a	n/a	n/a	n/a	n/a	n/a
152	2e4c4e93-cbc3-4ced-a9fa-afa4a6160ed4	2025-06-25	2025-07-03 20:55:07.922516+00:00	0.637	0.196	0.750	0.126	0.637	0.800	0.098
439	ba843a2e-53af-44ee-b58c-58a90fcc9312	2025-07-03	2025-07-03 21:12:56.104405+00:00	0.581	0.236	0.750	0.126	0.581	0.700	0.156
440	e73fb044-555f-4952-aa21-62789e6a8770	2025-07-03	2025-07-03 21:33:04.757053+00:00	0.644	0.192	0.750	0.126	0.644	0.700	0.156
441	7188705d-202b-45dd-a79a-1b3479b2f8a4	2025-07-03	2025-07-03 21:54:07.250226+00:00	0.706	0.152	0.700	0.156	0.700	0.800	0.098
442	78ba1fc6-8724-4c8e-a443-1e7c5030117d	2025-07-03	2025-08-02 10:35:32.763721+00:00	0.794	0.101	0.700	0.156	0.700	0.600	0.222
505	93805d54-b760-4bef-8ff1-379e24729f1c	2025-08-02	2025-08-02 10:38:49.898103+00:00	0.775	0.111	0.800	0.098	0.775	0.800	0.098
507	ff40f81e-9a7c-4c4f-86a8-888f668343ab	2025-08-02	2025-08-05 05:33:59.383094+00:00	0.781	0.108	0.750	0.126	0.750	0.800	0.098
521	a9306960-5aeb-49d2-8eb3-356f44588830	2025-08-05	2025-08-05 05:36:20.219684+00:00	0.850	0.071	0.750	0.126	0.750	0.700	0.156
522	d530195d-e8c9-47f7-bd7e-1a9841bd0693	2025-08-05	2025-08-05 05:54:59.780643+00:00	0.825	0.084	0.800	0.098	0.800	0.850	0.071
523	38e9c80a-c931-404a-af5d-680096b118a0	2025-08-05	2025-08-05 05:57:28.448546+00:00	0.825	0.084	0.700	0.156	0.700	0.800	0.098
524	b729ac4b-5668-45f9-b351-afb7d51fc94c	2025-08-05	2025-08-05 05:59:41.787384+00:00	0.750	0.126	0.900	0.047	0.750	0.600	0.222
525	5106406d-ba26-48b6-883d-39318579b6c5	2025-08-05	2025-08-05 06:04:26.768439+00:00	0.869	0.062	0.850	0.071	0.850	0.750	0.126
526	22fd819a-880b-4062-bf20-6c3feb2a120a	2025-08-05	2025-08-05 06:09:06.973454+00:00	0.838	0.078	0.750	0.126	0.750	0.550	0.260
527	f647ee61-fe55-430d-9498-a9872181a7f8	2025-08-05	2025-08-05 06:25:46.609398+00:00	0.894	0.050	0.900	0.047	0.894	0.700	0.156
528	09e73650-3a55-4ad6-8743-af7f0be59074	2025-08-05	2025-08-05 06:42:13.922202+00:00	0.919	0.038	0.850	0.071	0.850	0.750	0.126
529	63eef35b-c181-437b-b6d5-96035b3e1a02	2025-08-05	2025-08-05 07:00:12.716249+00:00	0.906	0.044	0.900	0.047	0.900	0.750	0.126
530	e23eb292-53b3-4852-ad1a-6e7f285db345	2025-08-05	2025-08-05 07:17:14.528544+00:00	0.931	0.032	0.950	0.023	0.931	0.800	0.098
531	579651c9-cb59-45f5-b17f-04b4c0d53c76	2025-08-05	2025-08-05 07:35:32.284262+00:00	0.938	0.029	0.950	0.023	0.938	0.750	0.126
532	8d70903a-af45-4d12-a699-316b646bd8c6	2025-08-05	2025-08-05 07:40:34.456106+00:00	0.938	0.029	0.950	0.023	0.938	0.750	0.126
533	434eac97-2889-47cf-a14e-e3d29b518193	2025-08-05	2025-08-05 08:47:30.150205+00:00	0.944	0.026	0.900	0.047	0.900	0.800	0.098
534	035c09a0-6cd0-4bdc-b04c-3ff5acc2a2f5	2025-08-05	2025-08-05 08:50:51.607915+00:00	0.950	0.023	0.950	0.023	0.950	0.700	0.156
535	a800aced-852a-468b-84f4-a14d363744c9	2025-08-05	2025-08-05 08:54:46.783776+00:00	0.931	0.032	0.900	0.047	0.900	0.800	0.098
536	2d6fee20-ccfc-4557-b85a-d7158decd6a8	2025-08-05	2025-08-05 08:58:23.806153+00:00	0.981	0.009	0.900	0.047	0.900	0.800	0.098
537	b3488594-655e-47e6-b81d-e2f6207b328e	2025-08-05	2025-08-05 09:54:51.163472+00:00	0.956	0.020	0.900	0.047	0.900	0.800	0.098

Investigation 454

Rounds

Scores