# Results?

Is anyone planning on posting their methodology?  I'd be interested to hear about any techniques that other people tried...
My model didn't perform too well.  I first tried cleaning up the data (reducing it to a standard range, removing linear trends, etc).  I added some new features, such as the Fourier transform of each person's eye movement and then ultimately combined all
 the predictors using a random forest.
What other models did people use?  Did ensembling help?  What about feature selection/engineering?