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

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

Options:

  1. Mean Squared Error
  2. Accuracy
  3. Silhouette Score
  4. Confusion Matrix

Correct Answer: Accuracy

Solution: 

Accuracy is a common evaluation metric for classification tasks, including those performed by Support Vector Machines.

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

Practice Questions

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

Questions & Step-by-Step Solutions

Which evaluation metric is commonly used to assess the performance of a Support Vector Machine model?
  • Step 1: Understand that a Support Vector Machine (SVM) is a type of model used for classification tasks.
  • Step 2: Know that when we want to see how well the SVM model is performing, we need to use an evaluation metric.
  • Step 3: Recognize that accuracy is a common evaluation metric used in classification tasks.
  • Step 4: Define accuracy as the percentage of correct predictions made by the model out of all predictions.
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