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Data Warehousing and Data Mining20815 marksSupport vector machine

What is support vector? How do you evaluate the accuracy of a classifier? Describe.

What is support vector? How do you evaluate the accuracy of a classifier? Describe. [5]

--- A Support Vector Machine (SVM) is a supervised learning algorithm used primarily for classification problems. It works by finding the optimal hyperplane that best separates data points belonging to different classes. Support Vectors are the data points that lie closest to the decision boundar...

Up nextDifferentiate between k-means and k-medoids clustering algorithm.