Implementation of data mining algorithms. Look at the examples folder to know how to use algorithms.

Classifiers:

• id3
• knn
• naive bayes

Parsers

• Weka's arff: requires liac-arff (https://github.com/renatopp/liac-arff)

Classifier Evaluations:

• hold out (1/3 test, 2/3 training)
• random subsampling
• k-fold cross validation
• stratified cross validation
• leave-one-out

Association Rules:

• Apriori
• Apriori-lift