Collection of statitics about the accuracy of a given classifier.
Refactor on classifier.py to OO style, make it easier to work with new classifier.
Custom implementation of a simple Naive-Bayes Classifier (worst than sklean implementation).
Added a wrapper of Scikit Learn for SVM.
Merge branch 'master' into metrics

Conflicts:
	LICENSE
Added LDA and PCA dimensionality reduction.
Refactor a bit on IO.py (maybe we should rethink this file organization)
Merge pull request #1 from gabriel-almeida/master

Statitics collecting, LDA and PCA