Review:
Gradient Boosting Algorithm
overall review score: 4.5
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score is between 0 and 5
Gradient boosting algorithm is a machine learning technique that builds an ensemble of trees iteratively to improve predictive accuracy.
Key Features
- Iterative tree building
- Ensemble learning
- Gradient descent optimization
Pros
- High predictive accuracy
- Handles complex relationships well
- Reduces bias and variance
Cons
- Can be computationally expensive
- Sensitive to overfitting if not tuned properly