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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%