Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
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

Table of Contents (14) Chapters Close

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 $19.99/month. Cancel anytime
Banner background image