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    Smart facotry Product quality status classification AI online Hackathon

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    [Private 36위] CatBoost & RandomForestClassifier & LightGBM

    HwangJungMuk
    공동작성자
    2023.04.03 09:33 3,736 Views language
    comments 0

    train set에서 열의 유일한 값이 nan이거나 모두 같은 값인 경우 해당 열을 제외하고 KNNImpute 를 이용하여 데이터 전처리를 진행하고 6개의 모델을 사용하여 정확도를 검사한 뒤 가장 점수가 높게 나온 세 개의 모델을 앙상블하여 사용하였습니다.

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    [private 11th]catboost
    Competition - 스마트 공장 제품 품질 상태 분류 AI 온라인 해커톤
    Likes 6
    Views 2,516
    Comments 0
    2yr ago
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    [Private 36위] CatBoost & RandomForestClassifier & LightGBM
    Competition - 스마트 공장 제품 품질 상태 분류 AI 온라인 해커톤
    Likes 6
    Views 3,736
    Comments 0
    2yr ago
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    [Private 1위] CatboostRegressor
    Competition - 스마트 공장 제품 품질 상태 분류 AI 온라인 해커톤
    Likes 16
    Views 7,091
    Comments 3
    2yr ago