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

 

아샷추 / Private 32위(0.70537) / CatBoost,Ridge,Bayes

공동작성자
2022.02.02 22:56 4,755 Views language

세 가지 방식으로 전처리를 진행한 뒤 CatBoost와 Ridge 함수를 이용하여 모델링을 진행하고 Bayes Optimal Classifier를 메타 모델로 앙상블하였습니다.

본 대회에 참가하여 마스킹된 tabular 데이터를 다루는 방법에 대해 고민할 수 있었고, 범주형 변수들이 많을 때 CatBoost가 얼마나 강력한 모델인지를 알 수 있었습니다. 
코드에 대해 궁금한 점이 있다면 댓글 남겨주세요! 🙂

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아샷추 / Private 32위(0.70537) / CatBoost,Ridge,Bayes
Competition - 잡케어 추천 알고리즘 경진대회
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3yr ago
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catboost + CV 5Fold + threshold 변경 (LB: 0.7)
Competition - 잡케어 추천 알고리즘 경진대회
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Views 14,791
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4yr ago