Classification model

The classification module implements classification algorithms, whose goal is to find relationships between input data and output classes.

Classification algorithms provide methods for predicting classes of new input data, as well as predicting the probabilities of belonging to each of the classes wherever possible.

This concept is implemented through the MLClassificationAlgo class which inherits from the MLSupervisedAlgo class.

Available classification models are: