LightGBM in Machine Learning
LightGBM is a gradient boosting classifier in machine learning that uses tree-based learning algorithms. It is designed to be distributed and efficient with faster drive speed and higher efficiency, lower memory usage and better accuracy.
LightGBM is a powerful machine learning model that can be shaped depending on the task you are working on.
But in general, LightGBM supports the following applications:
- Classification
- Regression
- Binary classification
- Multi-classification
- Cross-entropy