Information Fuzzy Networks

Information fuzzy networks (IFN) is a greedy machine learning algorithm for supervised learning.The data structure produced by the learning algorithm is also called Info Fuzzy Network.IFN construction is quite similar to decision trees' construction.However, IFN constructs a directed graph and not a tree.IFN also uses the conditional mutual information metric in order to choose features during the construction stage while decision trees usually use other metrics like entropy or gini. Information fuzzy networks (IFN) is a greedy machine learning algorithm for supervised learning.The data structure produced by the learning algorithm is also called Info Fuzzy Network.IFN construction is quite similar to decision trees' construction.However, IFN constructs a directed graph and not a tree.IFN also uses the conditional mutual information metric in order to choose features during the construction stage while decision trees usually use other metrics like entropy or gini. Input: a list of input variables that can be used, a list of data records (training set) and a minimal statistical significance used to decide whether to split a node or not (default 0.1%).