Class Summary |
ArrayUtils |
Utilities for computing average, sum,
standard deviation etc. |
Jncc |
Main class of the project, which loads the data set from file and then trains and validates the classifiers. |
MdlDiscretizer |
Implements recursive MDL-based supervised discretization (Fayyad and Irani, 1993) |
MdlDiscretizer.Pair |
Helper class for MdlDiscretizer, which effectively stores feature-class pairs |
NaiveBayes |
Implements the Naive Bayes Classifier (NBC) with Laplace prior |
NaiveClassifier |
Abstract super-class for Naive Classifiers |
NaiveCredalClassifier2 |
Implementation of the Naive Credal Classifier 2 (NCC2). |
NaiveCredalClassifier2.PartitionPoint |
Helper class for NaiveCredal Classifier, used to store crossing points and minimizing tuples; it is used
to deal with missing data in the NonMar part of the testing instances. |