Table 9 The results of the binary classification experiment of each model on CICIDS2017.

From: A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder

Model

Accuracy

Precision

Recall

F1-Score

CNN1D

0.9901

0.9902

0.9901

0.9901

DT

0.9653

0.9666

0.9653

0.9655

RF

0.9681

0.9692

0.9681

0.9682

SVM

0.9535

0.9545

0.9535

0.9536

KNN

0.9663

0.9664

0.9663

0.9663

AlexNet

0.9908

0.9909

0.9908

0.9908

ResNet

0.9910

0.9909

0.9910

0.9910

MF-CA

0.9935

0.9935

0.9935

0.9935

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