Machine Learning in Java - Second Edition

Model selection

Over the years, practitioners in the field of machine learning have developed a wide variety of learning algorithms and improvements for existing ones. There are so many unique supervised learning methods that it is challenging to keep track of all of them. As the characteristics of the datasets vary, no one method is the best in all of the cases, but different algorithms are able to take advantage of the different characteristics and relationships of a given dataset.

First, we need to create the model library by initializing the weka.classifiers.EnsembleLibrary class, which will help us define the models:

EnsembleLibrary ensembleLib = new EnsembleLibrary(); 

Next, we add the models and their parameters to the library as string ...