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Which of the following is a common evaluation metric for SVM classification perf

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Question: Which of the following is a common evaluation metric for SVM classification performance?

Options:

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

Correct Answer: Accuracy

Solution: 

Accuracy is a common evaluation metric used to assess the performance of SVM classifiers by measuring the proportion of correctly classified instances.

Which of the following is a common evaluation metric for SVM classification perf

Practice Questions

Q1
Which of the following is a common evaluation metric for SVM classification performance?
  1. Mean Squared Error
  2. Accuracy
  3. Silhouette Score
  4. Confusion Matrix

Questions & Step-by-Step Solutions

Which of the following is a common evaluation metric for SVM classification performance?
  • Step 1: Understand what SVM stands for. SVM means Support Vector Machine, which is a type of algorithm used for classification tasks.
  • Step 2: Know what classification means. Classification is the process of predicting the category or class of new observations based on past data.
  • Step 3: Learn about evaluation metrics. Evaluation metrics are ways to measure how well a classification model is performing.
  • Step 4: Identify a common evaluation metric. One common metric is accuracy, which tells us how many predictions were correct out of all predictions made.
  • Step 5: Understand how to calculate accuracy. Accuracy is calculated by dividing the number of correct predictions by the total number of predictions, then multiplying by 100 to get a percentage.
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