遇见数据集

A comprehensive comparison of our proposed method against two deep learning baselines (BiLSTM and CNN-GRU) for the intrusion classification task. The evaluation was performed on five standard datasets, with metrics including Accuracy (ACC), Precision (PR), Recall (RE), and F1-Score.

收藏
NIAID Data Ecosystem2026-05-10 收录
官方服务:

资源简介:

A comprehensive comparison of our proposed method against two deep learning baselines (BiLSTM and CNN-GRU) for the intrusion classification task. The evaluation was performed on five standard datasets, with metrics including Accuracy (ACC), Precision (PR), Recall (RE), and F1-Score.

创建时间:
2025-09-19
二维码
社区交流群
二维码
科研交流群
商业服务