Support Vector Machine (SVM) Interview Questions – Set 1


This quiz consists of questions and answers on Support Vector Machine (SVM). This is a practice test (objective questions and answers) which can be useful when preparing for interviews. The questions in this and upcoming practice tests could prove to be useful, primarily, for data scientist orĀ machine learning interns / freshers / beginners. The questions are focused around some of the following areas:

  • Introduction to SVM
  • Types of SVM such as maximum-margin classifier, soft-margin classifier, support vector machine

Support Vector Machine – Practice Test

Support vector machine (SVM) is a _________ classifier?

SVM can be used to solve ___________ problems.

SVM is a ___________ learning algorithm

SVM is termed as ________ classifier

The training examples closest to the separating hyperplane are called as _______

Which of the following is a type of SVM?

The goal of the SVM is to __________

When using R, which of the following package is used for SVM?

Based on the form of error function, SVM models can be classified into which of the following?

In case of classification problem, which of the following may be used?

Which of the following SVM model can be used to detect the outliers?

Ajitesh Kumar

Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.
Ajitesh Kumar

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