A Gentle Introduction to Multiple-Model Machine Learning
An ensemble learning method involves combining the predictions from multiple contributing models.
Nevertheless, not all techniques that make use of multiple machine learning models are ensemble learning algorithms.
It is common to divide a prediction problem into subproblems. For example, some problems naturally subdivide into independent but related subproblems and a machine learning model can be prepared for each. It is less clear whether these represent examples of ensemble learning, although we might distinguish these methods from ensembles given the inability for a contributing ensemble member to produce a solution (however weakly) to the overall prediction problem.
In this tutorial, you will discover multiple-model techniques for machine learning and their relationship to ensemble learning.
After completing this tutorial, you