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. 2020 May 27;20(11):3040. doi: 10.3390/s20113040

Table 12.

Global evaluation metrics: ANN vs LSTM vs DBMM.

Algorithm Accuracy Precision Recall F1Score
ANN 90.03 ± 0.85 16.06 ± 0.22 67.87 ± 0.52 14.74 ± 0.23
LSTM 60.92 ± 0.70 29.89 ± 1.20 57.61 ± 2.68 36.31 ± 1.61
DBMM 96.47 ± 0.71 77.70 ± 0.20 84.12 ± 0.05 80.54 ± 0.08
Total 96.47 ± 0.71 77.70 ± 0.20 84.12 ± 0.05 80.54 ± 0.08