Research Article
Light Gradient Boosting Machine-Based Link Quality Prediction for Wireless Sensor Networks
Table 3
MSE and accuracy of prediction models in the three scenarios.
| | MSE | Accuracy | Laboratory | Grove | Parking | Laboratory | Grove | Parking |
| LightGBM-LQP | 0.061 | 0.073 | 0.064 | 0.937 | 0.926 | 0.936 | XGBoost-LQP | 0.184 | 0.089 | 0.087 | 0.874 | 0.911 | 0.912 | RVFL-LQP | 0.079 | 0.084 | 0.071 | 0.930 | 0.916 | 0.929 | RNN-LQP | 0.093 | 0.086 | 0.077 | 0.911 | 0.914 | 0.923 | SVR-LQP | 0.085 | 0.086 | 0.074 | 0.915 | 0.914 | 0.926 | GRU-LQP | 0.090 | 0.084 | 0.072 | 0.918 | 0.916 | 0.928 |
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