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Special Topics in Educational Data Mining

Special Topics in Educational Data Mining. HUDK5199 Spring term, 2013 February 27, 2013. Today’s Class. Feature Engineering and Distillation - How. Special Rule for Today. Everyone Who Turned in a Homework Participates. Let’s go back to the list of features from the last class.

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Special Topics in Educational Data Mining

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  1. Special Topics in Educational Data Mining HUDK5199Spring term, 2013 February 27, 2013

  2. Today’s Class • Feature Engineering and Distillation - How

  3. Special Rule for Today • Everyone Who Turned in a Homework Participates

  4. Let’s go back to the list of features from the last class • As I read features off • If you used this feature (or something very similar), raise your hand

  5. For the features someone used • Did it end up in your final model? • Does this match the class’s overall intuition?

  6. List other features • I’d like everyone who turned in Assignment 4 • To tell me all of your other features that ended up in final models

  7. We now have… • We now have a list of features that ended up being used in models

  8. So let’s… • Go through how several of them were created • Actually do it… Re-create it in real-time, or show us your code… • Everyone who turned in the homework will show the class at least one feature • No one can show a second feature until everyone has had a chance to show at least one

  9. Comments? Questions?

  10. What tools were used? • Did anyone use any additional tools? • How else could you have created features?

  11. Now let’s… • Make a supermodel!

  12. Comments or Questions • About Assignment 5?

  13. Final Thoughts?

  14. If you enjoyed today’s class… • At some point in the next 2 years, we’ll be offering a Feature Engineering Design Studio course…

  15. Next Class • Monday, March 4 • Automated Feature Creation and Selection • Assignment Due: None

  16. Excel • Plan is to go as far as we can by 5pm • We will continue after next class session • Vote on which topics you most want to hear about

  17. Topics • Using average, count, sum, stdev (asgn. 4 data set) • Relative and absolute referencing (made up data) • Copy and paste values only (made up data) • Using sort, filter (asgn. 4 data set) • Using countif(asgn. 4 data set) • Making scatterplot (Jan. 28 class data set) • Making histogram (asgn. 4 data set) • Z-test (made up data) • 2-sample t-test (made up data) • Other topics?

  18. The End

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