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Which evaluation metric is commonly used to assess the performance of a Decision

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Question: Which evaluation metric is commonly used to assess the performance of a Decision Tree classifier?

Options:

  1. Mean Squared Error.
  2. Accuracy.
  3. Silhouette Score.
  4. Log Loss.

Correct Answer: Accuracy.

Solution: 

Accuracy is a common evaluation metric for classifiers, including Decision Trees, as it measures the proportion of correctly predicted instances.

Which evaluation metric is commonly used to assess the performance of a Decision

Practice Questions

Q1
Which evaluation metric is commonly used to assess the performance of a Decision Tree classifier?
  1. Mean Squared Error.
  2. Accuracy.
  3. Silhouette Score.
  4. Log Loss.

Questions & Step-by-Step Solutions

Which evaluation metric is commonly used to assess the performance of a Decision Tree classifier?
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