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Kamil A. Kaczmarek edited this page Jul 18, 2018
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- Here, we document our work and explain some details regarding techniques used.
- Step by step installation 🖥️
| link to code | name | CV | LB | link to description |
|---|---|---|---|---|
| solution 1 | chestnut 🌰 | ? | 0.742 | LightGBM and basic features |
| solution 2 | seedling 🌱 | ? | 0.747 | Sklearn and XGBoost algorithms and groupby features |
| solution 3 | blossom 🌼 | 0.7840 | 0.790 | LightGBM on selected features |
| solution 4 | tulip 🌷 | 0.7905 | 0.801 | LightGBM with smarter features |
| solution 5 | sunflower 🌻 | LightGBM clean dynamic features |
check our GitHub organization https://github.com/neptune-ml for more cool stuff 😃
Kamil & Kuba, core contributors
- chestnut 🌰: LightGBM and basic features
- seedling 🌱: Sklearn and XGBoost algorithms and groupby features
- blossom 🌼: LightGBM on selected features
- tulip 🌷: LightGBM with smarter features
- sunflower 🌻: LightGBM clean dynamic features
- four leaf clover 🍀: Stacking by feature diversity and model diversity