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

 

Model Selection + LightGBM + Optuna (Score: 0.694)

2022.01.28 16:11 5,911 Views language

Colab GPU 런타임에서 사용했으며, LightGBM / XGBoost / CatBoost를 모두 GPU 환경에서 Train했습니다.
Optuna라는 모듈과 Cross validation을 활용해 hyper-parameter optimization을 수행했으며, model selection 과정 역시 포함했습니다.
또한 LASSO를 통해 계수가 0인 변수를 제거하는 Feature selection 역시 진행을 했는데, 생각만큼 성능이 그렇게 올라가진 않았네요^^;;
부족한 부분이 있다면 조언해주시면 감사하겠습니다~

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