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Which of the following statements about SVM is true?

Practice Questions

Q1
Which of the following statements about SVM is true?
  1. SVM can only be used for binary classification
  2. SVM is sensitive to outliers
  3. SVM does not require feature scaling
  4. SVM is a type of unsupervised learning

Questions & Step-by-Step Solutions

Which of the following statements about SVM is true?
  • Step 1: Understand what SVM (Support Vector Machine) is. It is a type of machine learning algorithm used for classification tasks.
  • Step 2: Learn about decision boundaries. SVM creates a line (or hyperplane) that separates different classes in the data.
  • Step 3: Know what outliers are. Outliers are data points that are significantly different from other data points.
  • Step 4: Recognize that outliers can influence the decision boundary created by SVM.
  • Step 5: Conclude that if there are outliers in the data, they can change where the decision boundary is placed, making SVM sensitive to them.
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