Review:
Lightgbm Algorithm
overall review score: 4.5
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score is between 0 and 5
LightGBM is a gradient boosting framework that uses tree-based learning algorithms designed for speed and efficiency.
Key Features
- Fast and efficient training
- Supports large datasets
- Low memory usage
- Gradient-based one-side sampling
- Parallel and GPU learning supported
Pros
- High speed and efficiency
- Low memory usage
- Support for parallel and GPU learning
Cons
- Can be complex to tune hyperparameters