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Which evaluation metric is commonly used to assess the performance of a Support Vector Machine?

Practice Questions

1 question
Q1
Which evaluation metric is commonly used to assess the performance of a Support Vector Machine?
  1. Accuracy
  2. Mean Squared Error
  3. Silhouette Score
  4. F1 Score

Questions & Step-by-step Solutions

1 item
Q
Q: Which evaluation metric is commonly used to assess the performance of a Support Vector Machine?
Solution: Accuracy is a common evaluation metric used to assess the performance of classification models, including Support Vector Machines.
Steps: 0

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