O'Reilly logo

Data Analysis with R - Second Edition by Tony Fischetti

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Exercises

Practise the following exercises to get a firm grasp on the concepts learned so far:

  • Did you notice that I put CV in italics when I said that using k=27 seems like a safe bet as measured by the minimization of the CV error? Did you wonder why? I (quite deliberately) made a gaffe in choosing the k in the k-NN from Figure 10.4. My choice wasn't wrong, per se, but my choice of k may have been informed by data that should have been unavailable to me. How might have I committed a common but serious error in hyper-parameter tuning? How might I have done things differently?
  • Remember that we spent a long time talking about the assumptions of linear regression? In contrast, we spent virtually no time discussing the assumptions of logistic ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required