Which evaluation metric is most appropriate for assessing the performance of a Decision Tree on a binary classification problem?

Practice Questions

1 question
Q1
Which evaluation metric is most appropriate for assessing the performance of a Decision Tree on a binary classification problem?
  1. Mean Squared Error
  2. Accuracy
  3. Silhouette Score
  4. R-squared

Questions & Step-by-step Solutions

1 item
Q
Q: Which evaluation metric is most appropriate for assessing the performance of a Decision Tree on a binary classification problem?
Solution: Accuracy is a common metric for evaluating the performance of classification models, including Decision Trees.
Steps: 0

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