Decision trees exhibit low bias and lack smoothness in prediction surfaces, aiding in consistent decision-making.
Decision trees have the characteristics of low bias, meaning they do not oversimplify the data, and lack of smoothness of prediction surfaces due to their hierarchical structure. They are designed to provide guidance in decision-making processes by following a specific set of conditions to reach a conclusion, ensuring consistency in decision-making.
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