From: A universal Wi-Fi fingerprint localization method based on machine learning and sample differences
Model-test | Bagging | RF | ||||
---|---|---|---|---|---|---|
Floor success rate (%) | Point success rate (%) | Mean error (m) | Floor success rate (%) | Point success rate (%) | Mean error (m) | |
M0-T0 | 95.70 | 61.33 | 3.611 | 98.44 | 71.88 | 2.102 |
M0-T1 | 96.43 | 63.78 | 6.821 | 98.98 | 71.94 | 5.455 |
M0-T2 | 87.63 | 41.50 | 8.949 | 96.65 | 56.44 | 6.408 |
M1-T0 | 94.92 | 51.17 | 3.872 | 98.44 | 64.45 | 3.033 |
M1-T1 | 95.41 | 63.78 | 4.403 | 97.96 | 73.98 | 3.050 |
M1-T2 | 95.62 | 39.43 | 7.253 | 99.23 | 64.69 | 3.493 |
M2-T0 | 95.70 | 48.44 | 4.277 | 100.00 | 69.14 | 2.102 |
M2-T1 | 96.94 | 66.33 | 5.057 | 99.49 | 70.41 | 4.720 |
M2-T2 | 95.62 | 63.40 | 3.488 | 96.39 | 74.23 | 1.880 |
Mean | 94.89 | 55.46 | 5.303 | 98.40 | 68.57 | 3.583 |