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Table 7 Classification results for the proposed and the baseline models calculated with macro averaging

From: Model fusion of deep neural networks for anomaly detection

Method Macro recall Macro precision Macro F1 score Macro Fβ score False alarm rate
5-class DNN (baseline) (%) 95 36.67 41 48.20 7.66
Model fusion (proposed) (%) 90.33 48 55.33 65.18 2.30