Applied predictive modeling / Max Kuhn, Kjell Johnson.

Format:

Book

Author/Creator:

Kuhn, Max.

Contributor:

Johnson, Kjell.

Lawrence A. Medansky Memorial Book Fund.

Language:

English

Subjects (All):

Mathematical statistics.

Mathematical models.

Prediction theory.

Models, Statistical.

Statistics as Topic.

Models, Theoretical.

Medical Subjects:

Models, Statistical.

Statistics as Topic.

Models, Theoretical.

Physical Description:

xiii, 600 pages : illustrations (some color) ; 24 cm

Place of Publication:

New York : Springer, [2013]

Summary:

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 applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. -- from back cover.

Contents:

General Strategies. A Short Tour of the Predictive Modeling Process

Data Pre-processing

Over-Fitting and Model Tuning

Regression Models. Measuring Performance in Regression Models

Linear Regression and Its Cousins

Nonlinear Regression Models

Regression Trees and Rule-Based Models

A Summary of Solubility Models

Case Study: Compressive Strength of Concrete Mixtures

Classification Models. Measuring Performance in Classification Models

Discriminant Analysis and Other Linear Classification Models

Nonlinear Classification Models

Classification Trees and Rule-Based Models

A Summary of Grant Application Models

Remedies for Severe Class Imbalance

Case Study: Job Scheduling

Other Considerations. Measuring Predictor Importance

An Introduction to Feature Selection

Factors That Can Affect Model Performance.

Notes:

Includes bibliographical references and indexes.

Local Notes:

Acquired for the Penn Libraries with assistance from the Lawrence A. Medansky Memorial Book Fund.

ISBN:

1461468485

9781461468486

OCLC:

827083441