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Which of the following is a key advantage of using Support Vector Machines?

Practice Questions

Q1
Which of the following is a key advantage of using Support Vector Machines?
  1. They require large amounts of data
  2. They can handle non-linear data using kernels
  3. They are only suitable for binary classification
  4. They are easy to interpret

Questions & Step-by-Step Solutions

Which of the following is a key advantage of using Support Vector Machines?
  • Step 1: Understand what Support Vector Machines (SVM) are. They are a type of machine learning algorithm used for classification tasks.
  • Step 2: Learn that SVMs can work with both linear and non-linear data.
  • Step 3: Know that non-linear data means the data cannot be separated by a straight line.
  • Step 4: Discover that SVMs use something called 'kernel functions' to help with non-linear data.
  • Step 5: Realize that kernel functions change the input data into a higher dimension where it can be separated more easily.
  • Step 6: Conclude that the key advantage of SVMs is their ability to handle complex, non-linear relationships in data.
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