Initial attempt
uncommented some lines which shouldn't have been
Reduced number of features and number of trees for RF to speed up initial testing
Tested workflow with linear model, achieved RMS error 0.173
Added RF model
Added raw data
Fixed some errros with caching predictions and calculating error for combined predictions
Changed weights
Separated prediction generation and evaluation processes
Normalise predictions that should be'
Added flags for disabling cachine and non-sparse models
Test ridge regression
Uses ridge and linear models
Added Lasso, regression, didn't work super great
Removed unused classifiers. Removing stopwords had a negative effect
Made sure predictions are above zero
Evaluated the use of stemmers
Reverted to the simplest model, which also had the best results
Submission function matches best effort. evaluation functions trying to use the state variable
Merge branch 'master' of https://github.com/benjamin-croker/crowdflower