Predicting happiness from demographics and poll answers

Code for The Analytics Edge (15.071x) competition.

amelia - impute missing values, train many models, predict, bag
validation.r - split the training set for validation, train and score random forest and naive Bayes,
	plot variable importance from random forest
vectorize_and_predict_inplace.py - convert categorical to -1/0/1, train, write predictions	
vectorize_validation.py - convert data to numbers only, train, get validation score

Get 0.74568 public / 0.77761 private AUC with vectorize_and_predict_inplace.py and even better score with Amelia.

For description, see:

• http://fastml.com/predicting-happiness-from-demographics-and-poll-answers/
• http://fastml.com/converting-categorical-data-into-numbers-with-pandas-and-scikit-learn/
• http://fastml.com/impute-missing-values-with-amelia/