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Anomalt Data Analysis Based on UNSW-NB15-1.0.csv

The test score rate can achieve 99.86% and 95%, respectively. The authors provide an overall method from raw data preprocessing to a model building and metric assessment for further analysis in the anomaly detection domain. Besides, all coding and experiment data related to this research are open to other researchers

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