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πŸ†λ°μ΄μ½˜ AI해컀톀 λŒ€νšŒ μš°μˆ˜μƒ μ†”λ£¨μ…˜πŸ†

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ds-wook/ai-hackathon

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Model Architecture

μŠ¬λΌμ΄λ“œ1

Benchmark

Model CV Public Private
LGBM(10-Fold) 0.6784 0.6247 -
Cat(10-fold) 0.5701 0.5777 -
LightAutoML(10-fold) 0.5610 0.5398 -
Stacking-XGB(10-fold) 0.4808 0.4417 0.42097
Stacking-XGB(10-fold) + MEM x 4 - 0.4117 0.38599

Requirement

  • numpy
  • pandas
  • lightgbm
  • xgboost
  • catboost
  • optuna
  • hydra
  • neptune-ai

Score

Public 1, Private 2

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