What are some real-world applications of Decision Forests?

What are some real-world applications of Decision Forests?

Decision Forests are widely used in various fields such as finance for credit scoring, healthcare for disease prediction, and marketing for customer segmentation.

Can you explain how they are used in healthcare?

In healthcare, Decision Forests can analyze patient data to predict outcomes, such as the likelihood of developing certain diseases based on historical data.

What advantages do Decision Forests have over other algorithms?

They are robust against overfitting, can handle large datasets, and provide insights into feature importance, making them very interpretable.

Are there any limitations to using Decision Forests?

Yes, they can be computationally intensive and may require more resources compared to simpler models, especially with very large datasets.