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Kuhn, Max.

Applied predictive modeling / Max Kuhn, Kjell Johnson. - New York : Springer, 2013. - xiii, 600 p. : ill. ; 25 cm.

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.

9781461468486 1461468493 (electronic bk.) 9781461468493 (electronic bk.)


Mathematical models.
Mathematical statistics.
Prediction theory.

QA276 / .K84 2013 QA276 / .K84 2013

519.5 / K961

Languages: 
English |