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    HAICon2020 Industrial Control System Security Threat Detection AI Competition

    Algorithm | Structured | Anomaly detection | Control | TaPR

    • moneyIcon Prize : Total 2,000만원
    • 2020.08.17 ~ 2020.09.29 18:00 + Google Calendar
    • 1,266 Users Completed
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    Setup D-0

     

    HAI 2.0 Baseline

    DACONIO
    2020.08.16 06:57 17,241 Views language
    comments 11

    안녕하세요 데이콘입니다.


    국가보안기술연구소의 HAI 1.0 Baseline을 HAI 2.0 데이터셋에 맞춰 수정한 코드입니다.


    감사합니다. 
    데이콘입니다.

    #python #machinelearing #deeplearning #baseline #code #data #datascience #ai #dacon #competiton  #tableu #jupyternotebook #code #ML #DL

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    단호진
    2020.08.20 20:25

    코드 공유 고맙습니다.
    보지 못한 데이터에 대한 novelty detection 문제인데, 검증셋을 가지고 임계치를 튜닝하는 것은 위반 아닌가요?

    DACON.Dobby
    2020.08.21 10:05

    Deleted Comment

    DACONIO
    2020.08.21 10:06

    검증셋은 모델 학습에 직접 사용하는 것이 금지이고 본문과 같이 예측 결과의 보조자료로 사용하는 것은 가능합니다.

    방랑자
    2020.08.26 13:52

    혹시 프로젝트 파일로 얻을 수 없을까요?

    내밑은2등
    2020.09.03 20:27

    검증셋으로 예측 결과의 보조자료로 사용하는 것이 가능하다 하셨는데, 그렇다면 hyperparameter를 결정하기 위한 machine learning 방법론을 이용하는 것도 가능한가요??

    DACONIO
    2020.09.04 12:14

    안녕하세요, 데이콘입니다.

    검증셋을 이용한 하이퍼파라미터(ex. threshold) 튜닝은 가능합니다.  다만, 모델 학습 과정에서 검증셋이 사용되는 것은 불가합니다.

    동치미
    2020.09.14 23:20

    베이스라인 코드의 일부분을 그대로 사용해도 문제 없을까요?

    DACONIO
    2020.09.15 07:40

    네. 베이스라인을 수정하여 사용하셔도 문제 없습니다.

    동치미
    2020.09.24 14:21

    Deleted Comment

    AMJ0215
    2021.05.20 15:27

    아나콘다 프롬프트에서 pip install opencv-python
    해서 다운 받았는데 파일을 어디서 열어야 하나요??

    팝팝
    2021.05.20 18:16

    해당 데이터는 시계열 데이터인데 opencv를 설치하는 것이 어디에 나오는지 여쭤볼 수 있을까요??ㅎㅎ

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