Machine Learning Meetup Notes: 2010-06-02

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== TODO ==  
 
== TODO ==  
* Sampling details -- by student only? (Thomas)
+
* Sampling: possible by student only, uses original data format, may need changes to work with current data. (Thomas)
 
* Distribute dataset -- provide to at least Thomas
 
* Distribute dataset -- provide to at least Thomas
 
* Superskills: Thomas & Mike attempts.  
 
* Superskills: Thomas & Mike attempts.  
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* Student classifier -- Java program to save/load models?! (can eliminate students not in test set!)
 
* Student classifier -- Java program to save/load models?! (can eliminate students not in test set!)
 
* Format for future meetings
 
* Format for future meetings
 +
* See how many students are new in the test set;
 +
* Create statistics/histograms for IQ/chance features -- for discretization for Naive Bayes

Revision as of 21:41, 2 June 2010

TODO

  • Sampling: possible by student only, uses original data format, may need changes to work with current data. (Thomas)
  • Distribute dataset -- provide to at least Thomas
  • Superskills: Thomas & Mike attempts.
  • Naive Bayes vs LibSvm (in weka!) vs Neural networks vs Regression
  • Student classifier -- Java program to save/load models?! (can eliminate students not in test set!)
  • Format for future meetings
  • See how many students are new in the test set;
  • Create statistics/histograms for IQ/chance features -- for discretization for Naive Bayes
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