BNET Procedure

structure learning through efficient local learning algorithms

efficient variable selection through independence tests

automatic selection of the best parameters by using a validation data subset

learning of different types of Bayesian network structures

capability to specify links to include in or exclude from a network

handling of both nominal and interval input variables

binning of the interval input variables

handling of missing values

multithreading during the training and scoring phases