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Table 7 Classification results with (IV) QI set

From: Machine learning based GNSS signal classification and weighting scheme design in the built environment: a comparative experiment

QI set

Machine learning algorithm

Classification accuracy (%)

False positive (%)

(iv)

SVR

86.41

7.00

(iv)

KNN

89.72

4.75

(iv)

GBDT

92.49

3.71

(iv)

Decision tree

91.53

3.95

(iv)

Random forest

93.06

3.01

(iv)

Linear regression

84.28

8.59

(iv)

Adaboost

86.05

8.38

(iv)

Bagging

93.03

3.82

(iv)

Extra tree

88.94

5.89

(iv)

MLP

88.01

4.48