Perception classification on Amazon Review (test)
0.96JoyLX
Evaluation Results
| Method | Links | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LX2026.02 | 0.96 | 1 | 0.9 | 1 | 0.97 | 0.99 | 1 | 1 | — | 0.97 | 0.97 | 0.98 | 0.99 | 0.9 | 0.99 | 0.99 | 0.95 | 0.98 | 0.99 | 0.82 | 0.97 | 0.95 | |
| Llama3.2-8BParameters=8B2026.02 | 0.83 | 0.87 | 0.72 | 0.98 | 0.91 | 0.94 | 1 | 0.97 | — | 0.95 | 0.91 | 0.94 | 0.84 | 0.89 | 0.89 | 0.77 | 0.75 | 0.75 | 0.66 | 0.71 | 0.86 | 0.84 | |
| Llama3.2-3BParameters=3B2026.02 | 0.81 | 0.93 | 0.62 | 0.98 | 0.88 | 0.97 | 0.97 | 0.92 | — | 0.97 | 0.94 | 0.95 | 0.86 | 0.86 | 0.83 | 0.78 | 0.47 | 0.54 | 0.53 | 0.62 | 0.81 | 0.79 | |
| GPT-3.5-Turbo2026.02 | 0.8 | 0.8 | 0.73 | 0.98 | 0.9 | 0.81 | 0.99 | 0.86 | — | 0.9 | 1 | 0.91 | 0.69 | 0.84 | 0.89 | 0.76 | 0.75 | 0.79 | 0.75 | 0.61 | 0.83 | 0.81 | |
| DeepSeek-V32026.02 | 0.77 | 0.93 | 0.76 | 1 | 0.96 | 0.99 | 1 | 0.97 | — | 0.92 | 0.97 | 0.9 | 0.52 | 0.87 | 0.95 | 0.75 | 0.74 | 0.87 | 0.64 | 0.64 | 0.85 | 0.83 | |
| GPT-4-Turbo2026.02 | 0.76 | 0.91 | 0.76 | 0.98 | 0.94 | 0.92 | 1 | 0.95 | — | 0.88 | 0.97 | 0.94 | 0.68 | 0.87 | 0.91 | 0.76 | 0.84 | 0.47 | 0.88 | 0.67 | 0.85 | 0.83 | |
| RoBERTa2026.02 | 0.57 | 0.58 | 0.53 | 0.5 | 0.5 | 0.38 | 0.59 | 0.39 | — | 0.58 | 0.65 | 0.55 | 0.46 | 0.5 | 0.58 | 0.64 | 0.5 | 0.53 | 0.54 | 0.53 | 0.53 | 0.53 | |
| BART2026.02 | 0.42 | 0.53 | 0.56 | 0.5 | 0.4 | 0.46 | 0.41 | 0.41 | — | 0.53 | 0.51 | 0.54 | 0.53 | 0.4 | 0.57 | 0.52 | 0.52 | 0.53 | 0.53 | 0.6 | 0.5 | 0.5 |