Question

support vector machines are a popular machine learning technique primarily because of their relative cost and superior predictive power. their superior predictive power and their theoretical foundation. their relative cost and relative ease of use. their high effectiveness in the very few areas where they can be used.

Answer 1

support vector machines are a popular machine learning technique primarily because their superior predictive power and their theoretical foundation.

What is the main idea of an SVM?

SVM or Support Vector Machine is a linear model for classification and regression problems. It can solve linear and non-linear problems and work well for many practical problems. The idea of SVM is simple: The algorithm creates a line or a hyperplane which separates the data into classes

Why SVM is highly accurate?

In SVM, the data is classified into two classes and the hyper plane lies between those two classes. The advantage of SVM is that it also considers data being close to the opposite class and thus gives a reliable classification

What is SVM and its advantages?

SVM is a supervised training algorithm that can be useful for the purpose of classification and regression (Vapnik, 1998). SVM can be used to analyze data for classification and regression using algorithms and kernels in SVM (Cortes and Vapnik, 1995).

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