Can I read Classification Trees and Rule-Based Models on EtoBox?

Classification Trees and Rule-Based Models by Kuhn, Max; Johnson, Kjell is a scholarly article available to read on EtoBox.

What is Classification Trees and Rule-Based Models about?

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner's reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book's R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of

Author

Kuhn, Max; Johnson, Kjell

Publisher

Springer New York : Imprint: Springer

Published

2013

Language

EN

ISBN

9781461468493