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Applied predictive modeling / Max Kuhn, Kjell Johnson.

By: Contributor(s): Material type: TextPublication details: New York : Springer, c2013.Description: xiii, 600 p. : ill. (some col.) ; 24 cmISBN:
  • 9781461468486 (alk. paper)
Subject(s): DDC classification:
  • 519.5 KUH
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.
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Book Indian Institute Of Management, Shillong 519.5 KUH (Browse shelf(Opens below)) Checked out 20/07/2025 0011855

Includes bibliographical references (pages 569-587) 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.

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