What metric is often used to evaluate the performance of a Decision Tree?

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Question: What metric is often used to evaluate the performance of a Decision Tree?

Options:

Correct Answer: Accuracy.

Solution:

Accuracy is a common metric used to evaluate the performance of classification models like Decision Trees.

What metric is often used to evaluate the performance of a Decision Tree?

What metric is often used to evaluate the performance of a Decision Tree?

Step 1: Understand that a Decision Tree is a type of model used for classification tasks.
Step 2: Know that when we want to see how well the Decision Tree is performing, we need a way to measure its success.
Step 3: Learn that 'Accuracy' is a common metric used to evaluate how many predictions made by the Decision Tree are correct.
Step 4: Realize that accuracy is calculated by taking the number of correct predictions and dividing it by the total number of predictions made.

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