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    Debt Default Prediction Hackathon: Spot the Signs of Default!

    Dacon Hackathon | Algorithm | Tabular | Classification | Finance | ROC-AUC

    • moneyIcon Prize : DASCHOOL Pro Subscription
    • 2025.02.03 ~ 2025.03.31 09:59 + Google Calendar
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    [Private 5위, 0.65469] Logistic Regression 모델, 파생변수 생성

    juserh
    2025.03.31 22:29 462 Views language
    comments 0

    로지스틱 회귀 모델을 사용하였습니다.
    범주형 데이터 중 대출 목적과 주거 형태는 유사한 카테고리끼리 묶어 축소하였습니다. 또한 기존 컬럼을 조합하여 4개의 파생변수를 생성함으로써 설명령을 높이고자 하였습니다.
    모델 개발 과정에서 statsmodels.api 활용해 변수 별 p-value를 기반으로 유의미하지 않다고 판단되는 변수를 제거하였습니다.

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    [Private 2위] 데이터를 여행하는 '히치하이커'를 위한 안내서, Weight Ensemble🏔️
    Competition - 채무 불이행 여부 예측 해커톤: 불이행의 징후를 찾아라!
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    23d ago
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    [Private 5위, 0.65469] Logistic Regression 모델, 파생변수 생성
    Competition - 채무 불이행 여부 예측 해커톤: 불이행의 징후를 찾아라!
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    1mo ago
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    [Private 70th] 로지스틱 회귀 +SMOTEENN 사용
    Competition - 채무 불이행 여부 예측 해커톤: 불이행의 징후를 찾아라!
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    1mo ago