Research Article
Mitigating GNSS Multipath Effects Using XGBoost Integrated Classifier Based on Consistency Checks
Table 2
The results comparison of classical classification methods.
| Algorithms | NLOS | DS (LOS) | MP | Acc | Rec | F1 | Acc | Rec | F1 | Acc | Rec | F1 |
| KNN | 0.913 | 0.833 | 0.924 | 0.956 | 0.869 | 0.897 | 0.894 | 0.833 | 0.864 | SVM | 0.833 | 0.875 | 0.857 | 0.964 | 0.824 | 0.874 | 0.827 | 0.875 | 0.851 | DT | 0.925 | 0.846 | 0.942 | 0.953 | 0.837 | 0.92 | 0.881 | 0.86 | 0.87 | MLP | 0.875 | 0.839 | 0.893 | 0.942 | 0.903 | 0.862 | 0.893 | 0.831 | 0.862 | LightGBM | 0.918 | 0.914 | 0.955 | 0.935 | 0.89 | 0.943 | 0.901 | 0.826 | 0.924 | XGBoost | 0.936 | 0.817 | 0.961 | 0.984 | 0.826 | 0.928 | 0.916 | 0.817 | 0.956 |
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