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What does the term 'margin' refer to in the context of SVM?

Practice Questions

Q1
What does the term 'margin' refer to in the context of SVM?
  1. The distance between the closest data points of different classes
  2. The total number of support vectors
  3. The area under the ROC curve
  4. The error rate of the model

Questions & Step-by-Step Solutions

What does the term 'margin' refer to in the context of SVM?
  • Step 1: Understand that SVM stands for Support Vector Machine, which is a type of algorithm used for classification tasks.
  • Step 2: In SVM, we have different classes of data points that we want to separate.
  • Step 3: The 'margin' is the space between the closest data points from each class.
  • Step 4: The goal of the SVM algorithm is to make this margin as wide as possible.
  • Step 5: A wider margin means better separation between the classes, which helps in making more accurate predictions.
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