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    Driver Cognitive Data for Traffic Accident Risk Prediction AI Competition

    Algorithm | Code Submission Evaluation | Tabular | Regression | Data Analysis | AUC | Brier Score | ECE

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    [public : 0.18292] A, B 검사 전처리 코드

    __AGAIN__
    2025.11.13 00:06 280 Views language
    comments 1

    A, B 검사 전처리 코드입니다.
    해당 대회는 얼마나 창의적인 파생변수를 만드는가가 가장 핵심적이었을 것 같네요...
    일반 통계 기반으로 짰는데, 점수를 올리는데에는 한계가 명확했습니다.

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    wlgns6_
    2025.11.13 06:06

    의외로 통계량은 큰 영향을 안주더라고요..ㅜㅜ
    이전 검사의 라벨, 라벨별 개수를 사용했을 때 점수가 크게 올랐습니다
    A, B 모두 통계량 없이 리스트를 풀어서 raw로 만들고 이전 라벨 정보를 사용했을 때 0.149가 나왔습니다

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    [Public NaN..] 2022-10-12년 validation기준 0.1436
    Competition - 운수종사자 인지적 특성 데이터를 활용한 교통사고 위험 예측 AI 경진대회
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    [public : 0.18292] A, B 검사 전처리 코드
    Competition - 운수종사자 인지적 특성 데이터를 활용한 교통사고 위험 예측 AI 경진대회
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    [public 0.19067] baseline 공유합니다. (데이터 업데이트 이전)
    Competition - 운수종사자 인지적 특성 데이터를 활용한 교통사고 위험 예측 AI 경진대회
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