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Regression Analysis with R

You're reading from  Regression Analysis with R

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788627306
Pages 422 pages
Edition 1st Edition
Languages
Author (1):
Giuseppe Ciaburro Giuseppe Ciaburro
Profile icon Giuseppe Ciaburro

Table of Contents (15) Chapters

Title Page
Packt Upsell
Contributors
Preface
1. Getting Started with Regression 2. Basic Concepts – Simple Linear Regression 3. More Than Just One Predictor – MLR 4. When the Response Falls into Two Categories – Logistic Regression 5. Data Preparation Using R Tools 6. Avoiding Overfitting Problems - Achieving Generalization 7. Going Further with Regression Models 8. Beyond Linearity – When Curving Is Much Better 9. Regression Analysis in Practice 1. Other Books You May Enjoy Index

Classifying breast cancer using logistic regression


The breast is made up of a set of glands and adipose tissue, and is placed between the skin and the chest wall. In fact, it is not a single gland, but a set of glandular structures, called lobules, joined together to form a lobe. In a breast, there are 15 to 20 lobes. The milk reaches the nipple from the lobules through small tubes called milk ducts.

Breast cancer is a potentially serious disease if it is not detected and treated for a long time. It is caused by uncontrolled multiplication of some cells in the mammary gland that are transformed into malignant cells. This means that they have the ability to detach themselves from the tissue that has generated them to invade the surrounding tissues and eventually the other organs of the body. In theory, cancers can be formed from all types of breast tissues, but the most common ones are from glandular cells or from those forming the walls of the ducts.

The objective of this example is to identify...

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