Which metric is commonly used to evaluate the performance of Decision Trees?

Which metric is commonly used to evaluate the performance of Decision Trees?

Step 1: Understand what a Decision Tree is. It is a model used for making decisions based on data.
Step 2: Know that Decision Trees can be used for classification tasks, where the goal is to categorize data into different classes.
Step 3: Learn about metrics used to evaluate models. Metrics help us understand how well a model is performing.
Step 4: Identify that one common metric for evaluating classification models, including Decision Trees, is accuracy.
Step 5: Understand that accuracy measures how many correct predictions the model made out of all predictions.

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