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You're reading from Machine Learning with R R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required ‚Äì this book will take you methodically through every stage of applying machine learning.

Product type Paperback

Published in Oct 2013

Publisher Packt

ISBN-13 9781782162148

Length 396 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Brett Lantz

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Table of Contents (19) Chapters

Machine Learning with R

Credits

About the Author

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Preface

1. Introducing Machine Learning FREE CHAPTER

2. Managing and Understanding Data

3. Lazy Learning – Classification Using Nearest Neighbors

4. Probabilistic Learning – Classification Using Naive Bayes

5. Divide and Conquer – Classification Using Decision Trees and Rules

6. Forecasting Numeric Data – Regression Methods

7. Black Box Methods – Neural Networks and Support Vector Machines

8. Finding Patterns – Market Basket Analysis Using Association Rules

9. Finding Groups of Data – Clustering with k-means

10. Evaluating Model Performance

11. Improving Model Performance

12. Specialized Machine Learning Topics

Index

Chapter 11. Improving Model Performance

When a sports team falls short of meeting its goal—whether it is to obtain an Olympic gold medal, a league championship, or a world record time—it must begin a process of searching for improvements to avoid a similar fate in the future. Imagine that you're the coach of such a team. How would you spend your practice sessions? Perhaps you'd direct the athletes to train harder or train differently in order to maximize every bit of their potential. Or, you might place a greater emphasis on teamwork, which could utilize the athletes' strengths and weaknesses more smartly.

Now imagine that you're the coach tasked with finding a world champion machine learning algorithm—perhaps to enter a competition, such as those posted on the Kaggle website (http://www.kaggle.com/competitions), to win the million dollar Netflix Prize (http://www.netflixprize.com/), or simply to improve the bottom line for your business. Where do you begin?

Although the context of the competition...

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You're reading from Machine Learning with R R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required ‚Äì this book will take you methodically through every stage of applying machine learning.

Table of Contents (19) Chapters

Chapter 11. Improving Model Performance

Authors (1)

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You're reading from Machine Learning with R R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required ‚Äì this book will take you methodically through every stage of applying machine learning.

Table of Contents (19) Chapters

Chapter 11. Improving Model Performance

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