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Feature Engineering Studio

Feature Engineering Studio. April 13, 2015. Friend Features. Who managed to find a friend with relevant background expertise?. Friend Features. What features did your friends suggest? What did they discard?. Cross-validated goodness. Each of you please list

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Feature Engineering Studio

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  1. Feature Engineering Studio April 13, 2015

  2. Friend Features • Who managed to find a friend with relevant background expertise?

  3. Friend Features • What features did your friends suggest? • What did they discard?

  4. Cross-validated goodness • Each of you please list • Your full model’s cross-validated goodness • Your friend model’s cross-validated goodness • What can we conclude, if anything?

  5. A different approach than Sao Pedro et al. 2013 • Anyone want to summarize that paper’s approach? • What are the benefits of that paper’s approach? • Are there any major downsides?

  6. Questions? Comments?

  7. Wednesday’s assignment • Assignment 9 • Feature Adaptation • “This One’s For Nikolai IvonavichLobachevsky”

  8. Nikolai IvonovichLobachevsky(by Tom Lehrer) “I will never forget the day I first met the great Lobachevsky.In one word he told me the secret of success in mathematics:”

  9. Nikolai IvonovichLobachevsky(by Tom Lehrer) “I will never forget the day I first met the great Lobachevsky.In one word he told me the secret of success in mathematics:Plagiarize!”

  10. Nikolai IvonovichLobachevsky(by Tom Lehrer) “I will never forget the day I first met the great Lobachevsky.In one word he told me the secret of success in mathematics:Plagiarize!” “Only be sure to always call it – please – research.”

  11. To be clear… • Plagiarism: bad

  12. To be clear… • Plagiarism: bad • Borrowing ideas (and citing them): good

  13. To be clear… • Plagiarism: bad • Borrowing ideas (and citing them): good • We all clear?

  14. Assignment 9 • You need to find a previous paper that uses one or more features that can be potentially translated to your current analysis • Find the paper • Try at least one feature in your own data set

  15. Assignment 9 • Please be ready to discuss in class next Monday

  16. Assignment 9 • Be ready to discuss • The paper you drew inspiration from • Give a full citation and show us pictures of as many authors as you can find • The construct being predicted in this paper • The context/data set in this paper • The feature you decided to adapt • The feature you ended up creating • Differences between the original paper’s feature and your feature • The goodness of your feature in your data set

  17. What if you can’t find a paper?

  18. What if you can’t find a paper? • You can find a paper

  19. What if you can’t find a paper? • You can find a paper • Try google scholar

  20. What if you can’t find a paper? • You can find a paper • Try google scholar • Email me – but only after you have spent at least 2 hours searching the web

  21. Questions? Comments?

  22. Upcoming Classes • April 15: Feature Adaptation • April 20: Poster Presentations • April 22: No class

  23. New Special Session • Python • May 4 • During regular class time • Run by Stefan and Yijun

  24. Thank you!

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