OpenTechBook
  • Home
  • Open Books
    • All Open Books

    • Free eBooks
    • Free Magazines
    • Free Journals

    • Submit an Open Book
  • Quizzes
Home » Quiz » Machine Learning Quiz

How does the Kernel Trick help in SVM?

Difficulty level
  • Enhances data visualization
  • Reduces data size
  • Speeds up computation
  • Transforms data into higher dimension
The Kernel Trick in SVM transforms the data into a higher-dimensional space to make it linearly separable.
Add your answer
Loading...
Facebook Twitter Linkedin Reddit Pinterest
Machine Learning Quiz
Quiz
What is an interaction effect in Multiple Linear Regression?
In the context of a Confusion Matrix, _________ represents the cases where the model correctly predicted the negative class.

Related Quiz

  • You have a Multiple Linear Regression model that is performing poorly, and you suspect multicollinearity is the issue. How would you confirm this suspicion and rectify the problem?
  • The process of adding a penalty to the loss function to discourage complex models is called ________.
  • You're working on a project where you need to predict the next word in a sentence based on the previous words. Which type of neural network architecture would be most appropriate for this task?
  • How is the coefficient of determination (R-Squared) used in regression analysis?
  • In a case where both overfitting and underfitting are concerns depending on the chosen algorithm, how would you systematically approach model selection and tuning?

Leave a commentCancel

Your email address will not be published. Required fields are marked *

Hot Quiz

PHP QuizMachine Learning QuizCyber Security QuizPython QuizNode.js QuizASP.NET Core QuizData Science Statistics QuizADO.NET QuizCheckpoint QuizServlet QuizData Modelling QuizAPI Testing QuizDatabase Testing QuizAlgorithm QuizBootstrap QuizCommvault QuizAdobe Experience Manager QuizCOBOL QuizCCNA QuizAppium Quiz
Copyright © 2025 Open Tech Book
  • About
  • Contact
  • FAQ
  • DMCA
  • Disclaimer
  • Privacy Policy