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Kamil A. Kaczmarek edited this page Jul 10, 2018 · 33 revisions

Home 🏡

Here, we document our work and explain some details regarding techniques used.

Open Solutions

link to code name local CV 🔮 LB :shipit: link to description
solution 1 chestnut 🌰 LightGBM and basic features
solution 2 seedling 🌱 Sklearn and XGBoost algorithms and groupby features
solution 3 blossom 🌼 0.784 0.790 LightGBM on selected features
solution 4 tulip 🌷 0.7905 0.801 LightGBM with smarter features
solution 5 sunflower 🌻 (in progress...)

check our GitHub organization https://github.com/neptune-ml for more cool stuff 😃

Kamil & Kuba, core contributors

Home

Open Solutions

  1. chestnut 🌰: LightGBM and basic features
  2. seedling 🌱: Sklearn and XGBoost algorithms and groupby features
  3. blossom 🌼: LightGBM on selected features
  4. tulip 🌷: LightGBM with smarter features
  5. sunflower 🌻: LightGBM clean dynamic features
  6. four leaf clover 🍀: Stacking by feature diversity and model diversity
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