Tag: ensemble methods

Why Decision Trees Fail (and How to Fix Them)

While decision tree models have their advantages in predictive machine learning tasks, such as their ability to capture nonlinear relationships and intuitive interpretability, they also have several disadvantages that can hinder their performance. Decision tree models are often limited by their ability to handle complex interactions between features and their sensitivity to noisy data. Common […]
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