Book Image

R Machine Learning Essentials

By : Michele Usuelli
Book Image

R Machine Learning Essentials

By: Michele Usuelli

Overview of this book

Table of Contents (15 chapters)
R Machine Learning Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Building a machine learning solution


In which stage of a machine learning solution are we defining the features? Let's look at an overview of the whole procedure of building the solution. We can divide the approach into three steps:

  1. Define the features that we will be using.

  2. Apply one or more techniques to solve the problem.

  3. Evaluate the result and optimize the performance.

In the first step, we can evaluate the relevance of each feature by using a filter and selecting the most relevant feature. We can also define a combination of some features that are good for describing the data.

In the second step, when we build a model, we can use some techniques (embedded methods) that rank the features and identify the most relevant feature automatically.

The last step is very important since we have more information, allowing us to identify a more proper feature set. For instance, we can use the same model with different sets of features and evaluate which feature combination performs better. An option...