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    Job Care Recommendation Algorithm Contest

    Algorithm | Structured | Classification | Recommendation | Macro f1 score

    • moneyIcon Prize : Total 1,000만원
    • 2021.12.06 ~ 2022.01.28 18:00 + Google Calendar
    • 1,641 Users Completed
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    Setup D-0

     

    LightGBM + Catboost (LB : 0.68)

    __lia__
    2022.01.27 23:10 4,633 Views language
    comments 0

    LightGBM 모델과 Catboost 모델을 산술평균 앙상블과 Soft Voting 방식으로 각각 앙상블 한 후 f1-score를 비교해 보았습니다.
    PCA와 t-sne로 각각 차원축소하여 시각화도 해보았습니다.

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    Previous
    Model Selection + LightGBM + Optuna (Score: 0.694)
    Competition - 잡케어 추천 알고리즘 경진대회
    Likes 10
    Views 5,992
    Comments 0
    3yr ago
    Current
    LightGBM + Catboost (LB : 0.68)
    Competition - 잡케어 추천 알고리즘 경진대회
    Likes 10
    Views 4,633
    Comments 0
    3yr ago
    Next
    catboost + CV 5Fold + threshold 변경 (LB: 0.7)
    Competition - 잡케어 추천 알고리즘 경진대회
    Likes 70
    Views 14,497
    Comments 20
    3yr ago