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Behavioral Prediction on Big Five (participant-level)

0.48MeanLBM-2
0.150320.235910.32150.40709Feb 19, 2026

Evaluation results

MethodLinks
LBM-2setting=Big Five (big5), metric_type=Accuracy2026.020.48———0.0180.4430.4670.4790.4920.515
Claude 4.5 Sonnetsetting=Big Five (big5), metric_type=Accuracy2026.020.463———0.0160.4320.4520.4640.4740.494
Grok 4setting=Big Five (big5), metric_type=Accuracy2026.020.454———0.0180.4210.4420.4540.4670.49
DeepSeek V3setting=Big Five (big5), metric_type=Accuracy2026.020.44———0.0170.4080.4280.440.4520.474
GPT-5 Minisetting=Big Five (big5), metric_type=Accuracy2026.020.434———0.0180.4010.4210.4340.4460.47
GPT-4o Minisetting=Big Five (big5), metric_type=Accuracy2026.020.431———0.0180.3970.4180.4310.4430.467
Llama 3.1 8Bsetting=Big Five (big5), metric_type=Accuracy2026.020.425———0.0180.3920.4130.4250.4370.461
LBM-2setting=Big Five (big5), metric_type=Balanced Accuracy2026.020.31———0.020.2750.2960.3090.3230.353
Claude 4.5 Sonnetsetting=Big Five (big5), metric_type=Balanced Accuracy2026.020.307———0.0180.2740.2950.3070.3190.344
Grok 4setting=Big Five (big5), metric_type=Balanced Accuracy2026.020.289———0.0160.2590.2780.2890.30.322
DeepSeek V3setting=Big Five (big5), metric_type=Balanced Accuracy2026.020.279———0.0160.250.2680.2790.290.312
GPT-5 Minisetting=Big Five (big5), metric_type=Balanced Accuracy2026.020.273———0.0160.2430.2620.2730.2840.306
GPT-4o Minisetting=Big Five (big5), metric_type=Balanced Accuracy2026.020.27———0.0160.2410.2590.270.2810.302
LBM-2setting=Big Five (big5), metric_type=Macro-F12026.020.256———0.0210.2170.2410.2560.270.296
Claude 4.5 Sonnetsetting=Big Five (big5), metric_type=Macro-F12026.020.25———0.0210.2120.2350.250.2650.29
Llama 3.1 8Bsetting=Big Five (big5), metric_type=Balanced Accuracy2026.020.24———0.0110.2180.2320.240.2470.263
Grok 4setting=Big Five (big5), metric_type=Macro-F12026.020.227———0.020.1910.2140.2270.240.266
DeepSeek V3setting=Big Five (big5), metric_type=Macro-F12026.020.206———0.0180.1750.1940.2060.2180.242
GPT-5 Minisetting=Big Five (big5), metric_type=Macro-F12026.020.199———0.0180.1670.1870.1990.2110.236
GPT-4o Minisetting=Big Five (big5), metric_type=Macro-F12026.020.195———0.0180.1640.1830.1950.2070.231
Llama 3.1 8Bsetting=Big Five (big5), metric_type=Macro-F12026.020.163———0.0090.1470.1580.1640.170.181