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Data Science Algorithms in a Week

You're reading from   Data Science Algorithms in a Week Top 7 algorithms for scientific computing, data analysis, and machine learning

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789806076
Length 214 pages
Edition 2nd Edition
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Authors (2):
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David Toth David Toth
Author Profile Icon David Toth
David Toth
David Natingga David Natingga
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David Natingga
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Table of Contents (12) Chapters Close

Preface 1. Classification Using K-Nearest Neighbors 2. Naive Bayes FREE CHAPTER 3. Decision Trees 4. Random Forests 5. Clustering into K Clusters 6. Regression 7. Time Series Analysis 8. Python Reference 9. Statistics 10. Glossary of Algorithms and Methods in Data Science
11. Other Books You May Enjoy

Medical tests – basic application of Bayes' theorem

A patient takes a special cancer test that has an accuracy of test_accuracy=99.9%—if the result is positive, then 99.9% of the patients tested will suffer from that particular type of cancer. Conversely, 99.9% of the patients with a negative result will not suffer from that particular cancer.

Suppose that a patient is tested and the result is positive. What is the probability of that patient suffering from that particular type of cancer?

Analysis

We will use Bayes' theorem to ascertain the probability of the patient having cancer:

To ascertain the prior probability that a patient has cancer, we have to find out how frequently cancer...

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Data Science Algorithms in a Week - Second Edition
Published in: Oct 2018
Publisher: Packt
ISBN-13: 9781789806076
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