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 or 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?
He has also authored the book, Building Web Apps with Spring 5 and Angular.
Latest posts by Ajitesh Kumar (see all)
- QA – Why Machine Learning Systems are Non-testable - August 17, 2018
- QA – Testing Features of Machine Learning Models - August 12, 2018
- QA of Machine Learning Models with PDCA Cycle - August 8, 2018