> ## Documentation Index
> Fetch the complete documentation index at: https://shapely.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Gradient Boosting Classifier

>  Gradient Boosting Classifier combines many simple decision trees in a step-by-step process. Each tree learns from the mistakes made by the previous trees, gradually improving prediction accuracy. 

This makes it one of the most powerful classification algorithms available. 

<Note>
  Gradient Boosting is works well even when the relationship between features and the target variable is complex or non-linear.
</Note>

### Use Cases

* **Building type classification**: Classify buildings based on geometric and spatial features (area, perimeter, orientation).
* **Material prediction**: Predict the most suitable material for a structural element based on its properties.
* **Space usage classification**: Classify rooms by their function using shape and area characteristics.

<a href="/images/ML/Gradient Boosting Classifier.png" target="_blank">
  <img src="https://mintcdn.com/shapely/GiFxyBIPYCb4gWwv/images/ML/Gradient%20Boosting%20Classifier.png?fit=max&auto=format&n=GiFxyBIPYCb4gWwv&q=85&s=59200266c514b86778df916d1dcad481" className="pointer-events-none" style={{ borderRadius: '0.5rem', border: '1px solid rgba(0,0,0,0.1)' }} width="1325" height="1062" data-path="images/ML/Gradient Boosting Classifier.png" />
</a>