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Table 14 Quality metrics comparison

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

Algorithm Quality Metrics
RAM(MB) CPU (%) Time (ms)
K-means 7.29 MB 21.78% 727.75 ms
Box Plot 6.80 MB 11.43% 176.50 ms
Z-score 6.27 MB 7.04% 100.60 ms
VEDAS [74] 6.34 MB 26.39% 501.00 ms
Fuzzy [76] 6.99 MB 26.67% 10.11 ms
Backpropagation [14] 13.72 MB 27.22% 11.21 ms
Join Driving [55] 6.32 MB 8.27% 10.64 ms
Naïve Bayes classifier [56] 12.57 MB 17.38% 15.12 ms