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Which evaluation metric is most appropriate for assessing the performance of an

Practice Questions

Q1
Which evaluation metric is most appropriate for assessing the performance of an SVM model?
  1. Mean Squared Error
  2. Accuracy
  3. Silhouette Score
  4. Confusion Matrix

Questions & Step-by-Step Solutions

Which evaluation metric is most appropriate for assessing the performance of an SVM model?
  • Step 1: Understand that SVM (Support Vector Machine) is a type of model used for classification tasks.
  • Step 2: Know that classification tasks involve predicting categories or classes for given data.
  • Step 3: Learn about evaluation metrics, which are tools used to measure how well a model performs.
  • Step 4: Recognize that accuracy is a common metric used to evaluate classification models.
  • Step 5: Understand that accuracy measures the proportion of correct predictions made by the model out of all predictions.
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