Core Body Temperature Regression on MmCows
0.114MAEProposed Model
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Proposed Model2026.04 | 0.114 | 0.143 | 0.7835 | |
| XGBoostinput_structure=flattened vectors2026.04 | 0.1538 | 0.1972 | 0.5909 | |
| Gradient Boostinginput_structure=flattened vectors2026.04 | 0.1552 | 0.1987 | 0.5242 | |
| Decision Treeinput_structure=flattened vectors2026.04 | 0.1576 | 0.2021 | 0.5025 | |
| Random Forestinput_structure=flattened vectors2026.04 | 0.1712 | 0.2206 | 0.4184 | |
| Linear Regressioninput_structure=flattened vectors2026.04 | 0.1737 | 0.2112 | 0.4571 | |
| SVRinput_structure=flattened vectors2026.04 | 0.1793 | 0.2259 | 0.3908 | |
| LSTMinput_structure=multivariate time-series tensors2026.04 | 0.1826 | 0.2309 | 0.3672 | |
| Temporal Fusion Transformerinput_structure=multivariate time-series tensors2026.04 | 0.1892 | 0.2391 | 0.3165 | |
| KNNinput_structure=flattened vectors2026.04 | 0.2139 | 0.2688 | 0.1438 |