Which of the following is a key advantage of using SVM?
Practice Questions
Q1
Which of the following is a key advantage of using SVM?
It can only handle linear data
It is less effective with high-dimensional data
It is effective in high-dimensional spaces
It requires a large amount of training data
Questions & Step-by-Step Solutions
Which of the following is a key advantage of using SVM?
Step 1: Understand what SVM stands for - SVM means Support Vector Machine, which is a type of algorithm used in machine learning.
Step 2: Learn about high-dimensional spaces - High-dimensional spaces refer to situations where there are many features or variables to consider, like in text data where each word can be a feature.
Step 3: Recognize the advantage of SVM - SVM works well in these high-dimensional spaces because it can find the best way to separate different classes of data.
Step 4: Apply this knowledge - This makes SVM useful for tasks like text classification, where you need to categorize documents based on their content.
