Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
R for Data Science

You're reading from   R for Data Science Learn and explore the fundamentals of data science with R

Arrow left icon
Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781784390860
Length 364 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
Arrow right icon
View More author details
Toc

Questions


Factual

  • I have used the sum of squares differences for a crude comparison of models. Do you think this is a fair method?

  • What cutoff percentage accuracy would you use for your modeling?

When, how, and why?

  • There are several methods to measure the performance of a model. Investigate which you prefer.

  • Which modeling technique appears to fit your data?

Challenges

  • Determine a better way to determine whether a binary data model is accurate against a simple percentage correct.

  • What kind of data would be more suitable to developing a neural net?

  • Work with the method argument predict to use other modeling techniques for your data.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £16.99/month. Cancel anytime