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Table 5 Performance comparison of the proposed model with the method presented in [27] in terms of Precision and F1-score

From: Practical autoencoder based anomaly detection by using vector reconstruction error

Class

Method

F1-score

Precision

Normal

Stacked autoencoder based neural network

98.93

99.05

Our proosed method

100

100