Which of the following is a characteristic of SVM?

1 question

It can only be used for binary classification
It is sensitive to outliers
It can handle multi-class classification using one-vs-one or one-vs-all strategies
It requires a large amount of labeled data

1 item

Q: Which of the following is a characteristic of SVM?

Solution: SVM can handle multi-class classification problems using strategies like one-vs-one or one-vs-all.

Steps: 6

Step 1: Understand what SVM stands for. SVM means Support Vector Machine, which is a type of machine learning algorithm.
Step 2: Learn that SVM is used for classification tasks, which means it helps to categorize data into different groups.
Step 3: Recognize that sometimes we have more than two groups to classify data into. This is called multi-class classification.
Step 4: Know that SVM can handle multi-class classification problems using specific strategies.
Step 5: Identify the two common strategies used by SVM for multi-class classification: one-vs-one and one-vs-all.
Step 6: One-vs-one means comparing every pair of classes to find the best separator, while one-vs-all means comparing one class against all other classes.