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

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

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common metric for evaluating the performance of classification Decision Trees.

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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