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In the context of SVM, what does 'margin' refer to?

Practice Questions

Q1
In the context of SVM, what does 'margin' refer to?
  1. The distance between the closest data points of different classes
  2. The area under the ROC curve
  3. The number of support vectors used
  4. The total number of misclassified points

Questions & Step-by-Step Solutions

In the context of SVM, what does 'margin' refer to?
  • Step 1: Understand that SVM stands for Support Vector Machine, which is a type of machine learning algorithm used for classification.
  • 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 SVM is to make this margin as wide as possible.
  • Step 5: A wider margin means better separation between the classes, which helps the model make more accurate predictions.
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