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    자율주행 센서의 안테나 성능 예측 AI 경진대회

    Algorithm | Tabular | Regression | Autonomous Driving | NRMSE

    • moneyIcon Prize : Total 1,000만원
    • 2022.08.01 ~ 2022.08.26 16:59 + Google Calendar
    • 2,083 Users Completed
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    AutoML (pycaret) 로 모델 성능 분석

    Saturday.K
    2022.08.03 04:09 5,445 Views language
    comments 3

    AutoML로 회귀 모델 별 성능을 예측해보았습니다.
    Target 파라미터 별로 조금씩 차이가 있지만 대체로 
    Gradient Boosting Regressor, Random Forest Regressor, Light Gradient Boosting Machine 모델의 성능이 높게 나왔습니다.

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    3 Comments
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    ezcyber
    2022.08.03 08:17

    수고하셨네요

    카테고리 Feature가 있는데
    카테고리 feature  정의도 자동으로 하는지
    문의드려요 

    Saturday.K
    2022.08.03 11:09

    카테고리 feature 는 pycaret 에서 값의 종류가 적은  feature를 자동으로 선택한 것입니다. 
    빠르게 모델을 선택하기 위해 세세하게 조정은 하지 않았고, 실제 분석 모델을 구성할 때는 고민해서 결정해야겠죠.

    사스-K
    2022.08.03 14:37

    Deleted Comment

    📣 The comment input field has been moved to the top of the comment list!
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    Competition - 자율주행 센서의 안테나 성능 예측 AI 경진대회
    Likes 9
    Views 2,785
    Comments 0
    3yr ago
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    AutoML (pycaret) 로 모델 성능 분석
    Competition - 자율주행 센서의 안테나 성능 예측 AI 경진대회
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    Views 5,445
    Comments 2
    3yr ago
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