ReliefF is a component for automatic variable selection in a supervised learning task. It can handle both continuous and discrete descriptors. It can be inserted before any supervised method.
Naive Bayes was modified. It now described a prediction model in an explicit form (in a linear combination form), easy to understand and to deploy.
