Difference between revisions of "Overfitting Challenge"
m (BPeat moved page Regularization to Regularization - The Problem Of Overfitting without leaving a redirect) |
|||
| Line 9: | Line 9: | ||
* [http://lightgbm.readthedocs.io/en/latest/ LightGBM] — uses only tree-based algorithms; has incredible high performance as well. | * [http://lightgbm.readthedocs.io/en/latest/ LightGBM] — uses only tree-based algorithms; has incredible high performance as well. | ||
| − | <youtube> | + | <youtube>u73PU6Qwl1I</youtube> |
Revision as of 20:16, 28 July 2018
Gradient Boosting Algorithm uses multiple weak algorithms to create a more powerful accurate algorithm. Instead of using a single estimator, having multiple will create a more stable and robust algorithm. The specialty of Gradient Boosting Algorithms is their higher accuracy. There are several Gradient Boosting Algorithms. 10 Machine Learning Algorithms You need to Know | Sidath Asir @ Medium
- XGBoost — uses liner and tree algorithms
- LightGBM — uses only tree-based algorithms; has incredible high performance as well.