Pricing optimization on Philippines cocoa liquor dataset (test) benchmark leaderboard · SOTA2 Research

Pricing optimization on Philippines cocoa liquor dataset (test)

6.15Wasserstein Distance20 real data

Evaluation Results

Method	Links
20 real data2026.02		6.15	0.18	84	94	91	86
10 real data2026.02		8.49	0.24	79	90	87	79
Batch2026.02		9.31	0.23	72	89	82	73
Batch, Few-shot2026.02		10.29	0.26	73	90	83	75
Batch, Few-shot2026.02		10.54	0.25	71	89	83	76
Batch2026.02		11.48	0.29	68	88	83	74
Persona, Few-shot2026.02		11.9	0.31	81	90	82	72
5 real data2026.02		11.93	0.34	74	88	80	70
Description2026.02		12.13	0.31	75	88	83	75
Description, Few-shot2026.02		12.4	0.31	77	91	82	73
Description, Few-shot2026.02		12.94	0.33	76	93	85	78
Description2026.02		13.15	0.33	77	92	84	76
Batch, Few-shot2026.02		13.33	0.31	72	89	80	69
Batch2026.02		13.84	0.33	70	89	79	67
Description2026.02		14.12	0.38	80	92	80	67
Sampling, Persona2026.02		14.17	0.36	84	91	79	64
Description2026.02		14.93	0.38	78	92	79	66
Sampling, Few-shot2026.02		15.28	0.4	78	88	85	79
Sampling, Persona2026.02		15.66	0.41	84	96	79	65
Description, Few-shot2026.02		15.9	0.42	79	93	75	58
Batch, Few-shot2026.02		16.12	0.36	65	88	75	62
Sampling2026.02		16.25	0.46	80	89	79	67
Sampling, Few-shot2026.02		16.51	0.41	84	94	77	60
Sampling2026.02		17.13	0.42	85	92	78	61
Sampling, Persona2026.02		17.13	0.43	83	95	77	59
Sampling, Few-shot2026.02		17.19	0.44	81	93	77	55
Sampling2026.02		17.23	0.43	82	95	76	60
Batch2026.02		17.27	0.39	63	87	76	64
Sampling, Few-shot2026.02		17.43	0.44	81	90	78	59
Persona, Few-shot2026.02		17.44	0.43	77	90	72	56
Persona, Few-shot2026.02		17.57	0.43	78	94	75	62
Description, Few-shot2026.02		17.65	0.42	74	93	74	58
Sampling2026.02		18.57	0.46	82	94	74	56
Persona, Few-shot2026.02		18.95	0.47	76	94	73	51
Random2026.02		20.89	0.35	58	72	68	67
Sampling, Persona2026.02		21.17	0.55	74	93	68	46