Which of the following is NOT a characteristic of SVM?

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Question: Which of the following is NOT a characteristic of SVM?

Options:

Correct Answer: Can only be used for binary classification

Solution:

SVM can be adapted for multi-class classification using strategies like one-vs-one or one-vs-all, so it is not limited to binary classification.

Which of the following is NOT a characteristic of SVM?

Which of the following is NOT a characteristic of SVM?

Step 1: Understand what SVM (Support Vector Machine) is. It is a type of machine learning algorithm used for classification tasks.
Step 2: Know that SVM is commonly used for binary classification, which means it can separate data into two groups.
Step 3: Learn that SVM can also be adapted for multi-class classification, which means it can handle more than two groups.
Step 4: Recognize the strategies used for multi-class classification with SVM, such as one-vs-one (comparing every pair of classes) and one-vs-all (comparing one class against all others).
Step 5: Identify that the question is asking for a characteristic that is NOT true about SVM. Since SVM can be used for multi-class classification, this is NOT a limitation.

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