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

Practice Questions

Q1
What metric is often used to evaluate the performance of a Decision Tree?
  1. Mean Squared Error.
  2. Accuracy.
  3. F1 Score.
  4. Confusion Matrix.

Questions & Step-by-Step Solutions

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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