# Machine Learning Meetup Notes: 2010-06-02

From Noisebridge

(Difference between revisions)

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* See how many students are new in the test set; | * See how many students are new in the test set; | ||

* Create statistics/histograms for IQ/chance features -- for discretization for Naive Bayes | * 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

## [edit] 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
- Add feature "IQ strength" & "chance strength"?