refactor counting of true positives and false positives to use pandas
rewrite accuracy metrics to use pandas framework
Calculate weighted average over all targets using pandas.
Remove old test folder
Integrate refactored accuracy calculation into experiment framework.
Re-add calculation of # of recommendations.
fix training size experiment
Fix issues with plotting for all of the paper experiments. Add scatterplot experiment to paper_experiments.
update examine.py to also use pandas, add documentation for this module
add documentation that explains deviation between files produced by examine.py and the paper/dissertation
Merge pull request #2 from krasch/refactor-metrics

Refactor metrics