benchmarks
awesome-gradient-boosting-papers
| benchmarks | awesome-gradient-boosting-papers | |
|---|---|---|
| 1 | 1 | |
| 163 | 981 | |
| 0.6% | - | |
| 4.4 | 3.7 | |
| 8 days ago | about 2 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Creative Commons Zero v1.0 Universal |
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benchmarks
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[D] [R] Hyperparameter space for lightGBM
A good starting point could be the CatBoost quality benchmarks, which also tune LightGBM. You can find their hyperparameter settings here.
awesome-gradient-boosting-papers
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