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Table 13 Performance metrics comparison

From: Smartphone-based outlier detection: a complex event processing approach for driving behavior detection

Algorithm

Performance Metrics

Accuracy

Recall

Precision

F Measure

Error Rate

K-means

98.06%

98.22%

99.82%

99.01%

1.50%

Box Plot

96.33%

97.03%

99.41%

98.26%

3.37%

Z-score

98.39%

99.06%

99.31%

99.18%

1.57%

VEDAS [74]

97.61%

98.55%

99.02%

98.77%

2.38%

Fuzzy [76]

98.22%

99.84%

98.36%

99.10%

1.78%

Backpropagation [14]

99.34%

100.00%

99.43%

99.72%

0.57%

Join Driving [55]

95.45%

100.00%

92.31%

96.00%

4.55%

Naïve Bayes classifier [56]

81.82%

90.91%

76.92%

83.33%

18.18%