added graph metric generation
rename
rename
added modularity details, subject numbers
Added Helper code
Added toy R random forest code
Submission from random forest -- classification rate 0.76339
Simple example of random GLM on test data

Random GLM is like random forest but instead of an ensemble of decision
trees, it uses an ensemble of GLMs. Neat. Training set error rate ~25%.
Contest training data
Script to convert FNC pair-wise correlations to matrix form
RF with graph metrics + rf feature selection
Mergin'