Homework 8

Homework 8#

Deadline

Due Sunday 11/16 at 11:59 pm on Crowdmark.

This homework covers 3 classes:

  • Day 26, we covered 9.1 - Maximal Margin Classifier

  • Day 27, we covered 9.2 Support Vector Classifiers

  • Day 28, we covered 9.3, 9.4 Support Vector Machines

Problems listed below are from the textbook.

  • 9.7.3 Parts (a) through (f).

    • I’ve created a desmos toy to help you: https://www.desmos.com/calculator/hvfkvby64z

    • Feel free to include marked up screenshots of that tool in your explanation.

    • Please note that it does not provide a unit length vector, so be sure to modify your answer to part (b) accordingly.

  • 9.7.8 Uses the OJ.csv data set included in the DataSets folder. Do all parts, but notes are below.

    • (b) Use C=1 (the default) instead of the book’s C = 0.01 information.

    • (d) Use GridSearchCV like we used in class. You can use C = [0.01, 0.1, 1, 10] in the range. However, we have noticed that particularly for the linear kernel, GridSearchCV can be incredibly slow. If you are having issues getting the results to finish, feel free to use a subset of C values from above, or set cv=5 to use fewer splits in the \(k\)-fold CV.

Important

Standard instructions for submissions and deadlines can be found on the Homework Info Page.