Machine Learning Meetup Notes: 2010-06-02: Difference between revisions
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(Created page with '== TODO == * Sampling details -- by student only? (Thomas) * Distribute dataset * Superskills not possible? * Naive Bayes vs LibSvm (in weka!) vs Neural networks * Student class…') |
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== TODO == | == TODO == | ||
* Sampling | * Sampling: possible by student only, uses original data format, may need changes to work with current data. (Thomas) | ||
* Distribute dataset | * Distribute dataset -- provide to at least Thomas | ||
* Superskills | * Superskills: Thomas & Mike attempts. | ||
* Naive Bayes vs LibSvm (in weka!) vs Neural networks | * 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!) | * 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 | |||
* Add feature "IQ strength" & "chance strength"? |
Latest revision as of 22:40, 2 June 2010
TODO[edit]
- 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
- Add feature "IQ strength" & "chance strength"?