Book Image

R for Data Science

By : Dan Toomey
Book Image

R for Data Science

By: Dan Toomey

Overview of this book

Table of Contents (19 chapters)



  • 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?


  • 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.