Beginner
Artificial Intelligence & Machine Learning
Q17 / 100
What is a support vector machine (SVM)?
Correct! Well done.
Incorrect.
The correct answer is B) A supervised learning algorithm finding the hyperplane maximizing margin between classes, supporting kernel tricks for non-linear boundaries
B
Correct Answer
A supervised learning algorithm finding the hyperplane maximizing margin between classes, supporting kernel tricks for non-linear boundaries
Explanation
SVM finds the maximum-margin hyperplane. Support vectors are the closest training points. Kernel trick (RBF, polynomial) maps data to higher dimensions for non-linear separation. Effective in high-dimensional spaces.
Progress
17/100