Question

Which classifier involves finding Optimal hyperplane for linearly separable Patterns?

Answer 1

Answer:

SVM (Support Vector Machine) classifier involves in the process of finding the optimal hyperplane for the linearly separable patterns.

In the machine learning process, they are the supervised learning modes with the linked learning algorithms which analyze data utilized for regression analysis and even classification.

When it comes to feature extraction, it is one of the terms used for making the variable combinations to solve the problems.

Explanation:

Answer 2

Support Vector Machine

$\tt\implies$Hence, it can be used for finding Optimal hyperplane for linearly separable Patterns.

$\tt\implies$There is a special type known as the SVM.

$\tt\implies$It is an acronym for Support Vector Machine.

$\tt\implies$SVM is a supervised learning method that can be used for disease diagnosis.