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Training model, Pre-processed code, Training and Testing code Challenge official website:https://nad2021.nctu.edu.tw/index.html 2021 IEEE International Conference on Acoustics, Speech and Signal Processing 6-11 June 2021 • Toronto, Ontario, Canada

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Shoawen0213/ZYELL-NCTU-Network-Anomaly-Detection-Challenge

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ZYELL-NCTU-Network-Anomaly-Detection-Challenge

  • Here constains:Training model, Pre-processed code, Training and Testing code

ICASSP 2021 ZYELL-NCTU NAD CHALLENGE

@2021 IEEE International Conference on Acoustics, Speech and Signal Processing 6-11 June 2021 • Toronto, Ontario, Canada

(C) Copyright Optimum Application-Specific Integrated System Lab All Right Reserved

  • Arthor : Shao-Wen, Cheng

[File descibe]

File NAME decription
Preprocessed code contain three python files, for some featrues processing and data processing.
Testing code Contain eight folders, version 2 obtain better scrore. Each folders contains two python files for loading testing datasets and fitting to get predictions.Models used here are contain in Training model.rar, see detailed info below
Training code Contain six python files. s1_training_model_flow.py is for training model flow (model algorithm can choose: Random Forest, XGBoost) score.py is score calculating function based on the calculate method provided by official to calculate the score of this model.
Training model models use update in "Realease"

[File Note]

Due to the license agreement signed with official, so i won't update either training datasets or testing datasets.

[Note]

If there's ant problem, please contact me:
e-mail:shaowen.eic09g@nctu.nctu.edu

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Training model, Pre-processed code, Training and Testing code Challenge official website:https://nad2021.nctu.edu.tw/index.html 2021 IEEE International Conference on Acoustics, Speech and Signal Processing 6-11 June 2021 • Toronto, Ontario, Canada

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