Model Tuning Challenge: Montly Dacon Pilot

Algorithm | Tabular | Hyperparamter | Model Tuning | No Coding | AUC

  • moneyIcon Prize : Certification + Daschool
  • 2024.03.11 ~ 2024.04.08 09:59 + Google Calendar
  • 508 Users Completed

 

[Public 0.79264 (157th), Private 0.85937 (13th)] optuna 활용

2024.04.10 05:42 1,554 Views language

조금 만져보다가 영 모르겠어서 포기했었는데, 왜인지 모르겠으나 private score가 높게 나와서 매우 당황스럽습니다.
코드는 optuna를 활용해 HPO를 수행한게 전부입니다.
public score를 올려보고자 몇가지 방법들을 시도해봤지만, 단순히 train_test_split만 하는게 public 상으론 가장 성능이 좋게 나왔고 별다른 진전이 없어서 접었습니다.
어쩌면 다른 제출물 중 더 높은 private score를 갖는 것도 있을수 있겠네요 ㄷㄷ;;

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