1 / 18

Feature Engineering Studio Special Session

Feature Engineering Studio Special Session. September 25, 2013. RapidMiner 5.3. Data file and rapidminer xml file are on course webpage. Look at data. Look at process step-by-step. Build classifier. Goodness Criteria. Kappa AUC (Warning!) Accuracy (Warning!) Precision Recall.

ciro
Download Presentation

Feature Engineering Studio Special Session

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Feature Engineering StudioSpecial Session September 25, 2013

  2. RapidMiner 5.3 • Data file and rapidminer xml file are on course webpage

  3. Look at data

  4. Look at process step-by-step

  5. Build classifier

  6. Goodness Criteria • Kappa • AUC (Warning!) • Accuracy (Warning!) • Precision • Recall

  7. Turn cross-validation off

  8. Other types of cross-validation • Student-level cross-validation • Population-level cross-validation • Content-level cross-validation • When you use these….

  9. Setting up other types of cross-validation • BatchXValidation • SetRole

  10. CompleteFeatureGeneration

  11. RemoveCorrelatedFeatures

  12. Other Classification Algorithms • W-J48 • W-JRip • W-KStar

  13. Set up a Regression

  14. Regression Algorithms • Linear Regression • W-RepTree • W-M5P • Neural Networks • Support Vector Machines

  15. Goodness Criteria • Correlation • RMSE/MAD

  16. Many other things RapidMiner can do… • These are just two types of common prediction models

  17. For a broader overview of prediction modeling… • Come to next week’s special session

  18. Questions? Concerns?

More Related