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Applied predictive modeling / Max Kuhn, Kjell Johnson.

By: Kuhn, Max.
Contributor(s): Johnson, Kjell | Ohio Library and Information Network.
Publisher: New York, NY : Springer, ©2013Copyright date: ©2013Description: 600 p.ISBN: 9781461468486.Subject(s): Mathematical models | Mathematical statistics | Prediction theoryGenre/Form: Print books.
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
In: SpringerLink In: OhioLINK electronic book center Online
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Current location Call number Status Date due Barcode Item holds
On Shelf QA276 .K84 2013 (Browse shelf) Available AU00000000014669
Total holds: 0

Includes bibliographical references and index

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

Available to OhioLINK libraries

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