Which type of model uses decision trees to inform machine learning predictions? 🔊
The type of model that uses decision trees to inform machine learning predictions is the tree-based model. Decision trees are a popular method in supervised learning, allowing for clear visual representation of decisions and potential outcomes. They facilitate data-driven classification and regression by splitting data into subsets based on feature values. This model's interpretability and ease of use make it a widely adopted approach for various predictive analytics applications.
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