From: A universal Wi-Fi fingerprint localization method based on machine learning and sample differences
Model-test | GBDT | XGBoost | ||||
---|---|---|---|---|---|---|
Floor success rate (%) | Point success rate (%) | Mean error (m) | Floor success rate (%) | Point success rate (%) | Mean error (m) | |
M0-T0 | 100.00 | 79.69 | 1.455 | 98.05 | 64.45 | 2.534 |
M0-T1 | 100.00 | 80.61 | 3.070 | 98.98 | 66.33 | 4.933 |
M0-T2 | 95.62 | 52.84 | 6.293 | 99.23 | 55.67 | 4.943 |
M1-T0 | 99.22 | 60.55 | 2.783 | 97.66 | 39.06 | 4.899 |
M1-T1 | 99.49 | 73.98 | 3.294 | 96.94 | 57.14 | 4.661 |
M1-T2 | 94.07 | 55.67 | 7.631 | 98.71 | 55.41 | 4.854 |
M2-T0 | 100.00 | 74.61 | 1.855 | 98.44 | 46.09 | 3.846 |
M2-T1 | 100.00 | 79.08 | 2.715 | 100.00 | 63.27 | 4.781 |
M2-T2 | 99.74 | 76.55 | 2.657 | 100.00 | 57.22 | 3.920 |
Mean | 98.68 | 70.40 | 3.530 | 98.67 | 56.07 | 4.370 |