An Improved Feature Extraction Approach for Web Anomaly Detection Based on Semantic Structure

Table 2

The performance comparison of difference models.

Algorithm	Precision	Recall	F1-score	Accuracy
Random forest	0.8899	0.7860	0.8348	0.8169
Random forest	0.9154	0.8508	0.8819	0.8376
Decision tree	0.8646	0.8075	0.8351	0.8124
Decision tree	0.9169	0.8454	0.8797	0.8352
Support vector machine	0.6746	0.9090	0.7745	0.6912
Support vector machine	0.9636	0.8541	0.9056	0.8731
K-neighbours	0.8879	0.7764	0.8292	0.8109
K-neighbours	0.9335	0.8491	0.8893	0.8493

The algorithms with are trained with semantic structure, and others are trained with conventional routine.^∗