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Feature Engineering Studio Special Session

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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.

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Feature Engineering Studio Special Session

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  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?

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