Support Vector Machine (SVM)
What type of learning algorithm is SVM?
In a 2D space, the SVM hyperplane is a:
What are the data points closest to the separating hyperplane called?
The distance between the hyperplane and nearest data points is called:
Which kernel is best suited for non-linear data?
Which concept ensures better generalization in SVM?
The objective of SVM is to:
What does the kernel trick allow?
Which library is commonly used for SVM implementation in Python?
SVMs are particularly effective for: